{"tstamp": 1722441607.5868, "task_type": "retrieval", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "e7d52d0aadc94702b20e07a14e36ab57", "0_model_name": "BM25", "0_prompt": "when did the ottoman empire surrender in ww1", "0_output": [["when did the ottoman empire surrender in ww1", "Minority rights\n\nThe 1856 Congress of Paris paid special attention to the status of Jews and Christians in the Ottoman Empire. In Britain, William Gladstone made the massacres of Bulgarians by the Ottoman Empire a major campaign issue and demanded international attention. The Congress of Berlin in 1878 dealt with the status of Jews in Romania, especially, and also Serbia, and Bulgaria. On the whole, the 19th-century congresses failed to impose significant reforms.\nThe first minority rights were proclaimed and enacted by the revolutionary Parliament of Hungary in July 1849. Minority rights were codified in Austrian law in 1867.\nRussia was especially active in protecting Orthodox Christians and Slavic peoples under the control of the Ottoman Empire. However the Russian government tolerated vicious pogroms against Jews in its villages. Russia was widely attacked for this policy. By contrast there was little or no international outrage regarding the treatment of other minorities, such as black people in the southern United States before the 1950s when African colonies became independent.\nBefore the World War I, only three European countries declared ethnic minority rights, and enacted minority-protecting laws: the first was Hungary (1849 and 1868), the second was Austria (1867), and the third was Belgium (1898). In the pre-WW1 era, the legal systems of other European countries did not allow the use of European minority languages in primary schools, in cultural institutions, in offices of public administration and at the legal courts.\nMinority rights at the Paris Peace Conference of 1919"]], "0_corpus": "wikipedia", "1_conv_id": "5289e5d21c2b4d949286103c399f1e19", "1_model_name": "intfloat/e5-mistral-7b-instruct", "1_prompt": "when did the ottoman empire surrender in ww1", "1_output": [["when did the ottoman empire surrender in ww1", "Ottoman Empire in World War I\n\nThe Ottoman Empire was one of the Central Powers of World War I. It entered the war on 29 October 1914 with a small surprise attack on the Black Sea coast of Russia, which prompted Russia to declare war on 2 November 1914. Ottoman forces fought the Entente in the Balkans and the Middle Eastern theatre of World War I. The Ottoman Empire's defeat in the war in 1918 was crucial in the eventual dissolution of the empire in 1922.\nEntry into World War I\nThe Ottoman entry into World War I was the result of two recently purchased ships of its navy, still manned by their German crews and commanded by their German admiral, carrying out the Black Sea Raid on 29 October 1914. There were a number of factors that conspired to influence the Ottoman government and encourage them to enter the war. The political reasons for the Ottoman sultan's entry into the war are disputed, and the Ottoman Empire was an agricultural state in an age of industrial warfare. Also, the economic resources of the empire were depleted by the cost of the Balkan Wars of 1912 and 1913. The reasons for the Ottoman action were not immediately clear."]], "1_corpus": "wikipedia"} {"tstamp": 1722441638.7331, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "03187db5197c4fe7b645e21973a23910", "0_model_name": "mixedbread-ai/mxbai-embed-large-v1", "0_prompt": "can minecraft wii u play with xbox?", "0_output": [["can minecraft wii u play with xbox?", "Gaming Stackexchange\n\nQ: Can you play minecraft on Wii U and Xbox together on mulitplayer? I want to play with my friend but don't know how!\n\nA: What you are referring to is called \"Cross Platform Multiplayer\" Where two or more players on different consoles can play the same game. Currently, Cross platform multiplayer is very rare, and few games have this feature available.\nThere have been rumors that improved Cross platform multiplayer may be included at a future date on some or all of the minecraft versions, but this is not yet confirmed.(http://www.ign.com/articles/2015/08/05/gamescom-2015-mojang-wants-minecraft-to-work-cross-platform) \nUnfortunatly, at the moment, You can only play Minecraft online multiplayer if you, and everyone you are trying to play with are using the same version of minecraft on the same console or platform. \n*EDIT\nAs Pointed out by colorfusion in the comments, Minecraft Pocket Edition is compatible with Minecraft Windows 10 Edition. (Here's an article about it http://www.pcworld.com/article/2982932/software-games/minecraft-pocket-edition-now-lets-windows-10-ios-and-android-gamers-play-together.html)\n"]], "0_corpus": "stackexchange", "1_conv_id": "4405fb6401d8453189dbfe07d1e675e3", "1_model_name": "GritLM/GritLM-7B", "1_prompt": "can minecraft wii u play with xbox?", "1_output": [["can minecraft wii u play with xbox?", "Gaming Stackexchange\n\nQ: Can you play minecraft on Wii U and Xbox together on mulitplayer? I want to play with my friend but don't know how!\n\nA: What you are referring to is called \"Cross Platform Multiplayer\" Where two or more players on different consoles can play the same game. Currently, Cross platform multiplayer is very rare, and few games have this feature available.\nThere have been rumors that improved Cross platform multiplayer may be included at a future date on some or all of the minecraft versions, but this is not yet confirmed.(http://www.ign.com/articles/2015/08/05/gamescom-2015-mojang-wants-minecraft-to-work-cross-platform) \nUnfortunatly, at the moment, You can only play Minecraft online multiplayer if you, and everyone you are trying to play with are using the same version of minecraft on the same console or platform. \n*EDIT\nAs Pointed out by colorfusion in the comments, Minecraft Pocket Edition is compatible with Minecraft Windows 10 Edition. (Here's an article about it http://www.pcworld.com/article/2982932/software-games/minecraft-pocket-edition-now-lets-windows-10-ios-and-android-gamers-play-together.html)\n"]], "1_corpus": "stackexchange"} {"tstamp": 1722441688.0512, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "6b45321f7e8743f6ba37ad8fbb58bcba", "0_model_name": "embed-english-v3.0", "0_prompt": "A novel approach for knowledge-grounded dialogues by improving knowledge selection with a sequential latent variable model.", "0_output": [["A novel approach for knowledge-grounded dialogues by improving knowledge selection with a sequential latent variable model.", "Title: Sequential Latent Knowledge Selection for Knowledge-Grounded Dialogue\n\nAbstract: Knowledge-grounded dialogue is a task of generating an informative response based on both discourse context and external knowledge. As we focus on better modeling the knowledge selection in the multi-turn knowledge-grounded dialogue, we propose a sequential latent variable model as the first approach to this matter. The model named sequential knowledge transformer (SKT) can keep track of the prior and posterior distribution over knowledge; as a result, it can not only reduce the ambiguity caused from the diversity in knowledge selection of conversation but also better leverage the response information for proper choice of knowledge. Our experimental results show that the proposed model improves the knowledge selection accuracy and subsequently the performance of utterance generation. We achieve the new state-of-the-art performance on Wizard of Wikipedia (Dinan et al., 2019) as one of the most large-scale and challenging benchmarks. We further validate the effectiveness of our model over existing conversation methods in another knowledge-based dialogue Holl-E dataset (Moghe et al., 2018)."]], "0_corpus": "arxiv", "1_conv_id": "d4ac56d1a9f84dc5ba91f489a57a6eac", "1_model_name": "GritLM/GritLM-7B", "1_prompt": "A novel approach for knowledge-grounded dialogues by improving knowledge selection with a sequential latent variable model.", "1_output": [["A novel approach for knowledge-grounded dialogues by improving knowledge selection with a sequential latent variable model.", "Title: Sequential Latent Knowledge Selection for Knowledge-Grounded Dialogue\n\nAbstract: Knowledge-grounded dialogue is a task of generating an informative response based on both discourse context and external knowledge. As we focus on better modeling the knowledge selection in the multi-turn knowledge-grounded dialogue, we propose a sequential latent variable model as the first approach to this matter. The model named sequential knowledge transformer (SKT) can keep track of the prior and posterior distribution over knowledge; as a result, it can not only reduce the ambiguity caused from the diversity in knowledge selection of conversation but also better leverage the response information for proper choice of knowledge. Our experimental results show that the proposed model improves the knowledge selection accuracy and subsequently the performance of utterance generation. We achieve the new state-of-the-art performance on Wizard of Wikipedia (Dinan et al., 2019) as one of the most large-scale and challenging benchmarks. We further validate the effectiveness of our model over existing conversation methods in another knowledge-based dialogue Holl-E dataset (Moghe et al., 2018)."]], "1_corpus": "arxiv"} {"tstamp": 1722441726.5986, "task_type": "retrieval", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "0eb1b97ea1ea4813bcb0d07561d9762b", "0_model_name": "jinaai/jina-embeddings-v2-base-en", "0_prompt": "Paper exploring algorithmic fidelity in language models for social science research.", "0_output": [["Paper exploring algorithmic fidelity in language models for social science research.", "Title: Analysis and modeling of scale-invariance in plankton abundance\n\nAbstract: The power spectrum, $S$, of horizontal transects of plankton abundance are often observed to have a power-law dependence on wavenumber, $k$, with exponent close to -2: $S(k)\\propto k^{-2}$ over a wide range of scales. I present power spectral analyses of aircraft lidar measurements of phytoplankton abundance from scales of 1 to 100 km. A power spectrum $S(k)\\propto k^{-2}$ is obtained. As a model for this observation, I consider a stochastic growth equation where the rate of change of plankton abundance is determined by turbulent mixing, modeled as a diffusion process in two dimensions, and exponential growth with a stochastically variable net growth rate representing a fluctuating environment. The model predicts a lognormal distribution of abundance and a power spectrum of horizontal transects $S(k)\\propto k^{-1.8}$, close to the observed spectrum. The model equation predicts that the power spectrum of variations in abundance in time at a point in space is $S(f)\\propto f^{-1.5}$ (where $f$ is the frequency). Time series analysis of local variations of phytoplankton and zooplankton yield a power-law power spectrum with exponents -1.3 and -1.2, respectively from time scales of one hour to one year. These values are roughly consistent with the model prediction of -1.5. The distribution of abundances is nearly lognormal as predicted. The model may be more generally applicable than for the spatial distribution of plankton. I relate the model predictions to observations of spatial patchiness in vegetation."]], "0_corpus": "arxiv", "1_conv_id": "519f89cd54734d5a8b84fc365f499beb", "1_model_name": "Alibaba-NLP/gte-Qwen2-7B-instruct", "1_prompt": "Paper exploring algorithmic fidelity in language models for social science research.", "1_output": [["Paper exploring algorithmic fidelity in language models for social science research.", "Title: Neural language representations predict outcomes of scientific research\n\nAbstract: Many research fields codify their findings in standard formats, often by reporting correlations between quantities of interest. But the space of all testable correlates is far larger than scientific resources can currently address, so the ability to accurately predict correlations would be useful to plan research and allocate resources. Using a dataset of approximately 170,000 correlational findings extracted from leading social science journals, we show that a trained neural network can accurately predict the reported correlations using only the text descriptions of the correlates. Accurate predictive models such as these can guide scientists towards promising untested correlates, better quantify the information gained from new findings, and has implications for moving artificial intelligence systems from predicting structures to predicting relationships in the real world."]], "1_corpus": "arxiv"} {"tstamp": 1722442171.6617, "task_type": "retrieval", "type": "bothbadvote", "models": ["", ""], "ip": "", "0_conv_id": "60025466ec7e44b1b64b3e8cf40ca93a", "0_model_name": "BM25", "0_prompt": "Har Mette Frederiksen søskende?", "0_output": [["Har Mette Frederiksen søskende?", "Mette Frederiksen\n\n2019 election The 2019 general election saw the Social Democrats gaining a further seat while support for the Danish People's Party and the Liberal Alliance collapsed, costing Lars Løkke Rasmussen his majority. With the result beyond doubt on election night, Rasmussen conceded defeat. Frederiksen was appointed prime minister on 27 June 2019, heading an exclusively Social Democratic minority government supported by the red bloc of the Social Liberal Party, the Red-Green Alliance and the Green Left. Despite having run on an anti-immigration stance during the election, Frederiksen briefly shifted her stance on immigration by allowing more foreign labour and reversing government plans to hold foreign criminals offshore after winning government.\n2020 mink cull\nAt a press conference on 4 November 2020, Mette Frederiksen stated that the government had decided that all mink in Denmark should be killed due to the risk of infection with COVID-19. Subsequently, it emerged that this order was illegal and was described by many as being in violation of the Danish Constitution. The government came up with changing explanations and several parties in the Folketing demanded an account of the mink case. The statement was published on 18 November 2020 and it emerged that six ministers had been warned on 1 October 2020 that the order was illegal. Minister of Food, Agriculture and Fisheries Mogens Jensen withdrew immediately. Mette Frederiksen has denied knowledge of the lack of legal basis."]], "0_corpus": "wikipedia", "1_conv_id": "06d026b5e1be4d099e2309f63923c321", "1_model_name": "Alibaba-NLP/gte-Qwen2-7B-instruct", "1_prompt": "Har Mette Frederiksen søskende?", "1_output": [["Har Mette Frederiksen søskende?", "Hans Christian Gram\n\nGram stain In Berlin, in 1884, Gram developed a method for distinguishing between two major classes of bacteria. This technique, known as Gram staining, continues to be a standard procedure of medical microbiology. This work gained Gram an international reputation. The staining method later played a major role in classifying bacteria. Gram was a modest man, and in his initial publication he remarked, \"I have therefore published the method, although I am aware that as yet it is very defective and imperfect; but it is hoped that also in the hands of other investigators it will turn out to be useful.\"\nA Gram stain is made using a primary stain of crystal violet and a counterstain of safranin. Bacteria that turn purple when stained are termed 'Gram-positive', while those that turn red when counterstained are termed 'Gram-negative'.\nOther work\nGram's initial work concerned the study of human red blood cells. He was among the first to recognise that macrocytes were characteristic of pernicious anaemia.\nDuring 1891, Gram taught pharmacology, and later that year was appointed professor at the University of Copenhagen. In 1900, he resigned his professorship of pharmacology to become professor of medicine. As a professor, he published four volumes of clinical lectures which became used widely in Denmark. He retired from the University of Copenhagen in 1923, and died in 1938.\nPopular recognition\nOn 13 September 2019, Google commemorated the anniversary of his birth with a Doodle for Canada, Peru, Argentina, Australia, New Zealand, Israel, India and some European countries.\nPersonal life\nGram's great-granddaughter Lone Gram is a microbiologist who works at the Technical University of Denmark."]], "1_corpus": "wikipedia"} {"tstamp": 1722442236.114, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "fc59625548c945ab810d99da39f6cdbf", "0_model_name": "text-embedding-3-large", "0_prompt": "Hvilke organisationer har Mette Frederiksen forbindelse til?", "0_output": [["Hvilke organisationer har Mette Frederiksen forbindelse til?", "Mette Frederiksen\n\nMember of Folketing Frederiksen worked as a youth consultant for LO, The Danish Confederation of Trade Unions. She was elected as a member of parliament for Copenhagen County in the 2001 general election which saw the Social Democrats losing the first place and placing second for the first time since 1920. After her election, Frederiksen was named as her party's spokesperson for culture, media and gender equality. In 2002, she received the Nina Bang award for \"showing political courage, enthusiasm andimpact with social feeling\". Frederiksen received the Ting Prize in 2012. She co-authored the books Epostler (2003) and From Fight to Culture (2004).\nAfter the 2005 general election loss, Frederiksen became her party's spokesperson for social affairs. Following the election, she also served as the vice-chairperson of the parliamentary group of the Social Democrats. In the 2007 general election that saw the Social Democrats losing two seats, Frederiksen obtained 27,077 votes, placing her seventh in the ranking of the ten Danish politicians with the most votes.\nAfter the 2011 general election that led to a Social Democrats government, Frederiksen served under Prime Minister Helle Thorning-Schmidt as Minister for Employment from 2011 to 2014 and Minister of Justice from 2014 until she succeeded her as party leader. As Minister of Employment, Hendriksen sought reforms of early retirement pensions, flex jobs, and the employment system. The controversial cash assistance reform meant lower cash benefits for young unemployed and provided cohabiting mutual support, among other things.\nLeader of the Social Democrats\nUnder Frederiksen's leadership after the 2015 general election in which the Social Democrats returned to power and gained three seats in the Folketing, the party has moved back to the left on economic issues while taking a conservative stance on immigration.\nPrime Minister of Denmark"]], "0_corpus": "wikipedia", "1_conv_id": "18c745a4015840a4bfb1b883155ee770", "1_model_name": "nomic-ai/nomic-embed-text-v1.5", "1_prompt": "Hvilke organisationer har Mette Frederiksen forbindelse til?", "1_output": [["Hvilke organisationer har Mette Frederiksen forbindelse til?", "Mette Frederiksen\n\nMember of Folketing Frederiksen worked as a youth consultant for LO, The Danish Confederation of Trade Unions. She was elected as a member of parliament for Copenhagen County in the 2001 general election which saw the Social Democrats losing the first place and placing second for the first time since 1920. After her election, Frederiksen was named as her party's spokesperson for culture, media and gender equality. In 2002, she received the Nina Bang award for \"showing political courage, enthusiasm andimpact with social feeling\". Frederiksen received the Ting Prize in 2012. She co-authored the books Epostler (2003) and From Fight to Culture (2004).\nAfter the 2005 general election loss, Frederiksen became her party's spokesperson for social affairs. Following the election, she also served as the vice-chairperson of the parliamentary group of the Social Democrats. In the 2007 general election that saw the Social Democrats losing two seats, Frederiksen obtained 27,077 votes, placing her seventh in the ranking of the ten Danish politicians with the most votes.\nAfter the 2011 general election that led to a Social Democrats government, Frederiksen served under Prime Minister Helle Thorning-Schmidt as Minister for Employment from 2011 to 2014 and Minister of Justice from 2014 until she succeeded her as party leader. As Minister of Employment, Hendriksen sought reforms of early retirement pensions, flex jobs, and the employment system. The controversial cash assistance reform meant lower cash benefits for young unemployed and provided cohabiting mutual support, among other things.\nLeader of the Social Democrats\nUnder Frederiksen's leadership after the 2015 general election in which the Social Democrats returned to power and gained three seats in the Folketing, the party has moved back to the left on economic issues while taking a conservative stance on immigration.\nPrime Minister of Denmark"]], "1_corpus": "wikipedia"} {"tstamp": 1722442304.08, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "c11b9d02ecdb4ac29d202f5ce92f0f64", "0_model_name": "Salesforce/SFR-Embedding-2_R", "0_prompt": "What is Venstre?", "0_output": [["What is Venstre?", "Venstre (Denmark)\n\n(V; , ), full name (), is a conservative-liberal, agrarian political party in Denmark. Founded as part of a peasants' movement against the landed aristocracy, today it espouses an economically liberal, pro-free-market ideology."]], "0_corpus": "wikipedia", "1_conv_id": "3a3a219015e944a08e96fcd2a795e1b8", "1_model_name": "BAAI/bge-large-en-v1.5", "1_prompt": "What is Venstre?", "1_output": [["What is Venstre?", "Venstre (Denmark)\n\n(V; , ), full name (), is a conservative-liberal, agrarian political party in Denmark. Founded as part of a peasants' movement against the landed aristocracy, today it espouses an economically liberal, pro-free-market ideology."]], "1_corpus": "wikipedia"} {"tstamp": 1722443951.9871, "task_type": "retrieval", "type": "bothbadvote", "models": ["", ""], "ip": "", "0_conv_id": "f294c32c8edf4cdb82f34b8988340f89", "0_model_name": "GritLM/GritLM-7B", "0_prompt": "Which country won the most gold medals in the olympic history", "0_output": [["Which country won the most gold medals in the olympic history", "List of Olympic teams by medals won\n\nThe United States has placed first overall in the Summer Olympic Games eighteen times, followed by the Soviet Union with six overall victories (not including the 1992 first-place finish by the Unified Team). In the Winter Olympic Games, Norway has placed first overall nine times and the Soviet Union (prior to its dissolution in 1991) had placed first seven times.\nSummer Olympics\nList by Games\nList by team\nWinter Olympics\nList by Games"]], "0_corpus": "wikipedia", "1_conv_id": "beb89db290a247ab8d2637d64c723268", "1_model_name": "Salesforce/SFR-Embedding-2_R", "1_prompt": "Which country won the most gold medals in the olympic history", "1_output": [["Which country won the most gold medals in the olympic history", "2004 Summer Olympics medal table\n\nThe 2004 Summer Olympics, officially known as the Games of the XXVIII Olympiad, were a summer multi-sport event held in Athens, the capital city of Greece, from 13 to 29 August 2004. A total of 10,625 athletes from 201 countries represented by National Olympic Committees participated in these games, competing in 301 events in 28 sports. Kiribati and Timor Leste competed for the first time in these Olympic Games.\nAthletes from 74 countries won at least one medal. The United States won the most gold medals (36), the most silver medals (40) and the most medals overall (101). China finished second on the International Olympic Committee medal table (though third in terms of total medals), the country's best performance until the 2008 Beijing Olympics, where they were hosts. Russia finished third (second in total medals), and also won the most bronze medals (38). Host nation Greece finished fifteenth, with six gold, six silver, and four bronze medals, in its best total medal haul since 1896."]], "1_corpus": "wikipedia"} {"tstamp": 1722444028.9194, "task_type": "retrieval", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "fa4418617a5a491b8a7ede90483569ba", "0_model_name": "BM25", "0_prompt": "Fine-tuning BERT for optimal text classification performance on multiple datasets", "0_output": [["Fine-tuning BERT for optimal text classification performance on multiple datasets", "Title: Imbalanced Multi-label Classification for Business-related Text with Moderately Large Label Spaces\n\nAbstract: In this study, we compared the performance of four different methods for multi label text classification using a specific imbalanced business dataset. The four methods we evaluated were fine tuned BERT, Binary Relevance, Classifier Chains, and Label Powerset. The results show that fine tuned BERT outperforms the other three methods by a significant margin, achieving high values of accuracy, F1 Score, Precision, and Recall. Binary Relevance also performs well on this dataset, while Classifier Chains and Label Powerset demonstrate relatively poor performance. These findings highlight the effectiveness of fine tuned BERT for multi label text classification tasks, and suggest that it may be a useful tool for businesses seeking to analyze complex and multifaceted texts."]], "0_corpus": "arxiv", "1_conv_id": "e87880dd7cd94e34b26d6ec08910f019", "1_model_name": "text-embedding-004", "1_prompt": "Fine-tuning BERT for optimal text classification performance on multiple datasets", "1_output": [["Fine-tuning BERT for optimal text classification performance on multiple datasets", "Title: How to Fine-Tune BERT for Text Classification?\n\nAbstract: Language model pre-training has proven to be useful in learning universal language representations. As a state-of-the-art language model pre-training model, BERT (Bidirectional Encoder Representations from Transformers) has achieved amazing results in many language understanding tasks. In this paper, we conduct exhaustive experiments to investigate different fine-tuning methods of BERT on text classification task and provide a general solution for BERT fine-tuning. Finally, the proposed solution obtains new state-of-the-art results on eight widely-studied text classification datasets."]], "1_corpus": "arxiv"} {"tstamp": 1722444509.5213, "task_type": "retrieval", "type": "bothbadvote", "models": ["", ""], "ip": "", "0_conv_id": "17817cacbabd4dcf9fa57b72945df25a", "0_model_name": "sentence-transformers/all-MiniLM-L6-v2", "0_prompt": "What is the antipode of heaven?", "0_output": [["What is the antipode of heaven?", "Heaven in Christianity\n\nIn Christianity, heaven is traditionally the location of the throne of God and the angels of God, and in most forms of Christianity it is the abode of the righteous dead in the afterlife. In some Christian denominations it is understood as a temporary stage before the resurrection of the dead and the saints' return to the New Earth.\nIn the Book of Acts, the resurrected Jesus ascends to heaven where, as the Nicene Creed states, he now sits at the right hand of God and will return to earth in the Second Coming. According to Catholic, Eastern Orthodox, and Oriental Orthodox teaching, Mary, mother of Jesus, is said to have been assumed into heaven without the corruption of her earthly body; she is venerated as Queen of Heaven.\nIn the Christian Bible, concepts about Christian eschatology, the future \"kingdom of heaven\", and the resurrection of the dead are found, particularly in the book of Revelation and in 1 Corinthians 15.\nDescription\nThe Bible does not provide much information on what Heaven is supposed to be like. As a result, Christian theologians are usually not very specific when describing heaven.\nThe Book of Revelation states that the New Jerusalem will be transported from Heaven to Earth, rather than people from Earth going to Heaven. The description of the gates of New Jerusalem in inspired the idea of the Pearly gates, which is the informal name for the gateway to heaven according to some Christian denominations."]], "0_corpus": "wikipedia", "1_conv_id": "2d381decf1d1476fbbd0c1c804ed3088", "1_model_name": "mixedbread-ai/mxbai-embed-large-v1", "1_prompt": "What is the antipode of heaven?", "1_output": [["What is the antipode of heaven?", "Heaven\n\nHeaven, or the heavens, is a common religious cosmological or transcendent supernatural place where beings such as deities, angels, souls, saints, or venerated ancestors are said to originate, be enthroned, or reside. According to the beliefs of some religions, heavenly beings can descend to Earth or incarnate and earthly beings can ascend to Heaven in the afterlife or, in exceptional cases, enter Heaven without dying.\nHeaven is often described as a \"highest place\", the holiest place, a Paradise, in contrast to hell or the Underworld or the \"low places\" and universally or conditionally accessible by earthly beings according to various standards of divinity, goodness, piety, faith, or other virtues or right beliefs or simply divine will. Some believe in the possibility of a heaven on Earth in a world to come."]], "1_corpus": "wikipedia"} {"tstamp": 1722445209.7995, "task_type": "retrieval", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "c4c4c875854a41f8a4f23c4dd4df5074", "0_model_name": "embed-english-v3.0", "0_prompt": "Which test was devised to determine whether robots can think?", "0_output": [["Which test was devised to determine whether robots can think?", "Turing test\n\nThe test was introduced by Turing in his 1950 paper \"Computing Machinery and Intelligence\" while working at the University of Manchester. It opens with the words: \"I propose to consider the question, 'Can machines think? Because \"thinking\" is difficult to define, Turing chooses to \"replace the question by another, which is closely related to it and is expressed in relatively unambiguous words.\" Turing describes the new form of the problem in terms of a three-person game called the \"imitation game\", in which an interrogator asks questions of a man and a woman in another room in order to determine the correct sex of the two players. Turing's new question is: \"Are there imaginable digital computers which would do well in the imitation game?\" This question, Turing believed, was one that could actually be answered. In the remainder of the paper, he argued against all the major objections to the proposition that \"machines can think\".\nSince Turing introduced his test, it has been both highly influential and widely criticized, and has become an important concept in the philosophy of artificial intelligence. Philosopher John Searle would comment on the Turing test in his Chinese room argument, a thought experiment that stipulates that a machine cannot have a \"mind\", \"understanding\", or \"consciousness\", regardless of how intelligently or human-like the program may make the computer behave. Searle criticizes Turing's test and claims it is insufficient to detect the presence of consciousness.\nHistory"]], "0_corpus": "wikipedia", "1_conv_id": "25390507c1a14ef1b32bb1574a1c3f26", "1_model_name": "intfloat/e5-mistral-7b-instruct", "1_prompt": "Which test was devised to determine whether robots can think?", "1_output": [["Which test was devised to determine whether robots can think?", "Turing test\n\nThe Turing test, originally called the imitation game by Alan Turing in 1950, is a test of a machine's ability to exhibit intelligent behaviour equivalent to, or indistinguishable from, that of a human. Turing proposed that a human evaluator would judge natural language conversations between a human and a machine designed to generate human-like responses. The evaluator would be aware that one of the two partners in conversation was a machine, and all participants would be separated from one another. The conversation would be limited to a text-only channel, such as a computer keyboard and screen, so the result would not depend on the machine's ability to render words as speech. If the evaluator could not reliably tell the machine from the human, the machine would be said to have passed the test. The test results would not depend on the machine's ability to give correct answers to questions, only on how closely its answers resembled those a human would give. Since the Turing test is a test of indistinguishability in performance capacity, the verbal version generalizes naturally to all of human performance capacity, verbal as well as nonverbal (robotic)."]], "1_corpus": "wikipedia"} {"tstamp": 1722445580.5576, "task_type": "retrieval", "type": "bothbadvote", "models": ["", ""], "ip": "", "0_conv_id": "33d8228235394657b5ee7c61845ad49f", "0_model_name": "Salesforce/SFR-Embedding-2_R", "0_prompt": "Who won the latest euros?", "0_output": [["Who won the latest euros?", "UEFA European Championship\n\nThe UEFA European Football Championship, less formally the European Championship and informally the Euro or Euros, is the primary association football tournament organised by the Union of European Football Associations (UEFA). The competition is contested by UEFA members' senior men's national teams, determining the continental champion of Europe. It is the second-most watched football tournament in the world after the FIFA World Cup; the Euro 2016 final was watched by a global audience of around 600 million. The competition has been held every four years since 1960, except for 2020, when it was postponed until 2021 due to the COVID-19 pandemic in Europe, but kept the name Euro 2020. Scheduled to be in the even-numbered year between FIFA World Cup tournaments, it was originally called the European Nations' Cup before changing to its current name in 1968. Since 1996, the individual events have been branded as \"UEFA Euro [year]\".\nBefore entering the tournament, all teams other than the host nations (which qualify automatically) compete in a qualifying process. Until 2016, the championship winners could compete in the following year's FIFA Confederations Cup, but were not obliged to do so. From the 2020 edition onwards, the winner competes in the CONMEBOL–UEFA Cup of Champions.\nThe seventeen European Championship tournaments have been won by ten national teams: Spain have won four titles, Germany have won three titles, Italy and France have won two titles, and the Soviet Union, Czechoslovakia, the Netherlands, Denmark, Greece and Portugal have won one title each. To date, Spain is the only team to have won consecutive titles, doing so in 2008 and 2012.\nThe most recent championship, held in Germany in 2024, was won by Spain, who lifted a record fourth European title after beating England 2–1 in the final at Olympiastadion in Berlin.\nHistory"]], "0_corpus": "wikipedia", "1_conv_id": "f03d04a064ae4d97aa465675ae705ebf", "1_model_name": "GritLM/GritLM-7B", "1_prompt": "Who won the latest euros?", "1_output": [["Who won the latest euros?", "UEFA Euro 2016\n\nThe 2016 UEFA European Football Championship, commonly referred to as UEFA Euro 2016 (stylised as UEFA EURO 2016) or simply Euro 2016, was the 15th UEFA European Championship, the quadrennial international men's football championship of Europe organised by UEFA. It was held in France from 10 June to 10 July 2016. Spain were the two-time defending champions, having won the 2008 and 2012 tournaments, but were eliminated in the round of 16 2-0 by Italy. Portugal won the tournament for the first time, following a 1–0 victory after extra time over the host team, France, in the final played at the Stade de France."]], "1_corpus": "wikipedia"} {"tstamp": 1722445626.3012, "task_type": "retrieval", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "8c2ce987427b42e0886f0713c13efbc9", "0_model_name": "BM25", "0_prompt": "when is us presidential elections", "0_output": [["when is us presidential elections", "2010 Ukrainian presidential election\n\nOn 21 December 2009, the Central Election Commission of Ukraine formed 113 foreign polling stations.\nVoters are permitted to vote at home during the presidential election.\nCosts\nThe Central Election Commission has estimated the budget of the holding of regular presidential elections in Ukraine at ₴1.5 billion, (approximately 200 million US dollars) with additional costs required by candidates to fund their campaigns.\nEach candidate is required to pay an election deposit of ₴2.5 million (Approximately US$300,000) The deposit will be refunded to the two highest polling candidates who progress to the second round of elections.\nOn 26 November, the Central Election Commission stated a total of ₴1.314 billion is required to hold the presidential election, including 192.2 million in 2009 and 1.122 billion in 2010.\nAssessments by political analysts show that each presidential candidate will have to spend at least US$150–200mn to promote himself; this includes buying story lines in the media, visual advertising, canvassing, printing political material and, work with electoral commissions.\nChairman of the Committee of Voters of Ukraine, Oleksandr Chernenko, also commented that presidential candidates will spend 1 billion US dollars on the election campaign\nThe cost of the run-off ballot is estimated to be US$119 million"]], "0_corpus": "wikipedia", "1_conv_id": "7919081d502b4943b3903c5a61983653", "1_model_name": "intfloat/multilingual-e5-large-instruct", "1_prompt": "when is us presidential elections", "1_output": [["when is us presidential elections", "2024 United States presidential election\n\nThe 2024 United States presidential election will be the 60th quadrennial presidential election, set to be held on Tuesday, November 5, 2024. Voters will elect a president and vice president for a term of four years. The incumbent president, Joe Biden, a member of the Democratic Party, is running for re-election. His predecessor, Donald Trump, a member of the Republican Party, is running for re-election for a second, non-consecutive term, after losing to Biden in the 2020 presidential election. If both are nominated, this will mark the seventh presidential election rematch, and the first since 1956. In the run-up to the election, on May 30, 2024, Trump was convicted of 34 felonies related to falsifying business records, becoming the first president to be found guilty of a crime. On July 13, Trump was shot in an assassination attempt at one of his rallies.\nThe winner of this election is scheduled to be inaugurated on January 20, 2025. The presidential election will take place at the same time as elections for the U.S. Senate, House, gubernatorial, and state legislatures. Biden and Trump secured a majority of delegates for the Democratic and Republican parties, respectively, on March 12, though they have yet to be confirmed at their nominating conventions. Robert F. Kennedy Jr. emerged as the highest-polling third-party presidential candidate since Ross Perot in the 1992 election, running as an independent.\nLeading campaign issues are expected to be abortion, border security and immigration, healthcare, education, the economy, foreign policy, LGBT rights, climate change, and democracy.\nBackground"]], "1_corpus": "wikipedia"} {"tstamp": 1722445656.4983, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "d33c666d9a464315b179a286c0df9942", "0_model_name": "voyage-multilingual-2", "0_prompt": "Interpretable feature extraction in language models using autoencoders.", "0_output": [["Interpretable feature extraction in language models using autoencoders.", "Title: Sparse Autoencoders Find Highly Interpretable Features in Language Models\n\nAbstract: One of the roadblocks to a better understanding of neural networks' internals is \\textit{polysemanticity}, where neurons appear to activate in multiple, semantically distinct contexts. Polysemanticity prevents us from identifying concise, human-understandable explanations for what neural networks are doing internally. One hypothesised cause of polysemanticity is \\textit{superposition}, where neural networks represent more features than they have neurons by assigning features to an overcomplete set of directions in activation space, rather than to individual neurons. Here, we attempt to identify those directions, using sparse autoencoders to reconstruct the internal activations of a language model. These autoencoders learn sets of sparsely activating features that are more interpretable and monosemantic than directions identified by alternative approaches, where interpretability is measured by automated methods. Moreover, we show that with our learned set of features, we can pinpoint the features that are causally responsible for counterfactual behaviour on the indirect object identification task \\citep{wang2022interpretability} to a finer degree than previous decompositions. This work indicates that it is possible to resolve superposition in language models using a scalable, unsupervised method. Our method may serve as a foundation for future mechanistic interpretability work, which we hope will enable greater model transparency and steerability."]], "0_corpus": "arxiv", "1_conv_id": "a07117052afe44569b36cea1bcc52e86", "1_model_name": "BM25", "1_prompt": "Interpretable feature extraction in language models using autoencoders.", "1_output": [["Interpretable feature extraction in language models using autoencoders.", "Title: Scaling and evaluating sparse autoencoders\n\nAbstract: Sparse autoencoders provide a promising unsupervised approach for extracting interpretable features from a language model by reconstructing activations from a sparse bottleneck layer. Since language models learn many concepts, autoencoders need to be very large to recover all relevant features. However, studying the properties of autoencoder scaling is difficult due to the need to balance reconstruction and sparsity objectives and the presence of dead latents. We propose using k-sparse autoencoders [Makhzani and Frey, 2013] to directly control sparsity, simplifying tuning and improving the reconstruction-sparsity frontier. Additionally, we find modifications that result in few dead latents, even at the largest scales we tried. Using these techniques, we find clean scaling laws with respect to autoencoder size and sparsity. We also introduce several new metrics for evaluating feature quality based on the recovery of hypothesized features, the explainability of activation patterns, and the sparsity of downstream effects. These metrics all generally improve with autoencoder size. To demonstrate the scalability of our approach, we train a 16 million latent autoencoder on GPT-4 activations for 40 billion tokens. We release training code and autoencoders for open-source models, as well as a visualizer."]], "1_corpus": "arxiv"} {"tstamp": 1722445681.9899, "task_type": "retrieval", "type": "bothbadvote", "models": ["", ""], "ip": "", "0_conv_id": "dc5c3730a60e46b58e211818a759810b", "0_model_name": "nomic-ai/nomic-embed-text-v1.5", "0_prompt": "is pizza also called pie?", "0_output": [["is pizza also called pie?", "Ell Stackexchange\n\nQ: What is this food called in English? I think technically it's a fruit although they strongly resemble a vegetable:\n\nWhat do you call these?\nPersonally, I know them as ‘paprika’.\nOthers say these are ‘bell peppers’, and only when ground into spice it's called paprika.\nBesides grinding them into spice, you can also make soup of it or sauce. Or put slices of this on a pizza. I would call that paprika soup, or paprika sauce, or paprika slices.\nIs this perhaps a difference between British vs American vs 'international' English?\nP.S. regarding the fruit vs vegetable issue: not really related to the question here but I think from a botanical point of view it's a fruit, and from a culinary point of view it's a vegetable.\n\nA: As well as being called bell peppers in the other answers, they are sometimes also called Capsicum in some English speaking countries, as per Wikipedia Bell pepper. Capsicum is actually the Genus name of the plant.\n"]], "0_corpus": "stackexchange", "1_conv_id": "fba47ce32dad426d85b4fcd99186db7a", "1_model_name": "voyage-multilingual-2", "1_prompt": "is pizza also called pie?", "1_output": [["is pizza also called pie?", "English Stackexchange\n\nQ: How to name a part of a piechart Which term best suits to describe a part/slice/share/portion of a piechart, disregarding what the chart is about ?\n\nA: Since each \"part\" is a sector of a circle, sector can be used IMO.\n"]], "1_corpus": "stackexchange"} {"tstamp": 1722445702.9498, "task_type": "retrieval", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "2822b7b032984b2896bc9c1b5d9477a8", "0_model_name": "GritLM/GritLM-7B", "0_prompt": "A system integrating BERT and IR techniques to enhance open-domain QA performance on Wikipedia.", "0_output": [["A system integrating BERT and IR techniques to enhance open-domain QA performance on Wikipedia.", "Title: End-to-End Open-Domain Question Answering with BERTserini\n\nAbstract: We demonstrate an end-to-end question answering system that integrates BERT with the open-source Anserini information retrieval toolkit. In contrast to most question answering and reading comprehension models today, which operate over small amounts of input text, our system integrates best practices from IR with a BERT-based reader to identify answers from a large corpus of Wikipedia articles in an end-to-end fashion. We report large improvements over previous results on a standard benchmark test collection, showing that fine-tuning pretrained BERT with SQuAD is sufficient to achieve high accuracy in identifying answer spans."]], "0_corpus": "arxiv", "1_conv_id": "e4223ef5fa88473386fbe4e0ee1c3016", "1_model_name": "sentence-transformers/all-MiniLM-L6-v2", "1_prompt": "A system integrating BERT and IR techniques to enhance open-domain QA performance on Wikipedia.", "1_output": [["A system integrating BERT and IR techniques to enhance open-domain QA performance on Wikipedia.", "Title: Detection of the Geminga pulsar with MAGIC hints at a power-law tail emission beyond 15 GeV\n\nAbstract: We report the detection of pulsed gamma-ray emission from the Geminga pulsar (PSR J0633+1746) between $15\\,$GeV and $75\\,$GeV. This is the first time a middle-aged pulsar has been detected up to these energies. Observations were carried out with the MAGIC telescopes between 2017 and 2019 using the low-energy threshold Sum-Trigger-II system. After quality selection cuts, $\\sim 80\\,$hours of observational data were used for this analysis. To compare with the emission at lower energies below the sensitivity range of MAGIC, $11$ years of Fermi-LAT data above $100\\,$MeV were also analysed. From the two pulses per rotation seen by Fermi-LAT, only the second one, P2, is detected in the MAGIC energy range, with a significance of $6.3\\,\\sigma$. The spectrum measured by MAGIC is well-represented by a simple power law of spectral index $\\Gamma= 5.62\\pm0.54$, which smoothly extends the Fermi-LAT spectrum. A joint fit to MAGIC and Fermi-LAT data rules out the existence of a sub-exponential cut-off in the combined energy range at the $3.6\\,\\sigma$ significance level. The power-law tail emission detected by MAGIC is interpreted as the transition from curvature radiation to Inverse Compton Scattering of particles accelerated in the northern outer gap."]], "1_corpus": "arxiv"} {"tstamp": 1722445718.3648, "task_type": "retrieval", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "55af47c6ca9c4ac7a77ee1e484d2f648", "0_model_name": "sentence-transformers/all-MiniLM-L6-v2", "0_prompt": "Chinese text encoder with n-gram representations achieving state-of-the-art performance.", "0_output": [["Chinese text encoder with n-gram representations achieving state-of-the-art performance.", "Title: Is Nothing Sacred? Vacuum Energy, Supersymmetry and Lorentz Breaking from Recoiling D branes\n\nAbstract: Classical superstring vacua have zero vacuum energy and are supersymmetric and Lorentz-invariant. We argue that all these properties may be destroyed when quantum aspects of the interactions between particles and non-perturbative vacuum fluctuations are considered. A toy calculation of string/D-brane interactions using a world-sheet approach indicates that quantum recoil effects - reflecting the gravitational back-reaction on space-time foam due to the propagation of energetic particles - induce non-zero vacuum energy that is linked to supersymmetry breaking and breaks Lorentz invariance. This model of space-time foam also suggests the appearance of microscopic event horizons."]], "0_corpus": "arxiv", "1_conv_id": "8b2315872e5949a7a35825b601d43977", "1_model_name": "Alibaba-NLP/gte-Qwen2-7B-instruct", "1_prompt": "Chinese text encoder with n-gram representations achieving state-of-the-art performance.", "1_output": [["Chinese text encoder with n-gram representations achieving state-of-the-art performance.", "Title: Character-level Chinese-English Translation through ASCII Encoding\n\nAbstract: Character-level Neural Machine Translation (NMT) models have recently achieved impressive results on many language pairs. They mainly do well for Indo-European language pairs, where the languages share the same writing system. However, for translating between Chinese and English, the gap between the two different writing systems poses a major challenge because of a lack of systematic correspondence between the individual linguistic units. In this paper, we enable character-level NMT for Chinese, by breaking down Chinese characters into linguistic units similar to that of Indo-European languages. We use the Wubi encoding scheme, which preserves the original shape and semantic information of the characters, while also being reversible. We show promising results from training Wubi-based models on the character- and subword-level with recurrent as well as convolutional models."]], "1_corpus": "arxiv"} {"tstamp": 1722445796.0975, "task_type": "retrieval", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "483dafda9ed54c9c80bc45216ad796db", "0_model_name": "Alibaba-NLP/gte-Qwen2-7B-instruct", "0_prompt": "what type of data is provided in a knowledge base", "0_output": [["what type of data is provided in a knowledge base", "W. Edwards Deming\n\nDeming continued to advise businesses large and small. From 1985 through 1989, Deming served as a consultant to Vernay Laboratories, a rubber manufacturing firm in Yellow Springs, Ohio, with fewer than 1,000 employees. He held several week-long seminars for employees and suppliers of the small company where his famous example \"Workers on the Red Beads\" spurred several major changes in Vernay's manufacturing processes.\nDeming joined the Graduate School of Business at Columbia University in 1988. In 1990, during his last year, he founded the W. Edwards Deming Center for Quality, Productivity, and Competitiveness at Columbia Business School to promote operational excellence in business through the development of research, best practices and strategic planning.\nIn 1990, Marshall Industries (NYSE:MI, 1984–1999) CEO Robert Rodin trained with the then 90-year-old Deming and his colleague Nida Backaitis. Marshall Industries' dramatic transformation and growth from $400 million to $1.8 billion in sales was chronicled in Deming's last book The New Economics, a Harvard Case Study, and Rodin's book, Free, Perfect and Now.\nIn 1993, Deming published his final book, The New Economics for Industry, Government, Education, which included the System of Profound Knowledge and the 14 Points for Management. It also contained educational concepts involving group-based teaching without grades, as well as management without individual merit or performance reviews.\nAcademic contributions\nThe philosophy of W. Edwards Deming has been summarized as follows:\nThe Deming System of Profound Knowledge"]], "0_corpus": "wikipedia", "1_conv_id": "3139be50f5064e0894343f6a22890c54", "1_model_name": "intfloat/e5-mistral-7b-instruct", "1_prompt": "what type of data is provided in a knowledge base", "1_output": [["what type of data is provided in a knowledge base", "Knowledge base\n\nIn computer science, a knowledge base (KB) is a set of sentences, each sentence given in a knowledge representation language, with interfaces to tell new sentences and to ask questions about what is known, where either of these interfaces might use inference. It is a technology used to store complex structured data used by a computer system. The initial use of the term was in connection with expert systems, which were the first knowledge-based systems.\nOriginal usage of the term"]], "1_corpus": "wikipedia"} {"tstamp": 1722445834.473, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "ed8435cf63824a24a3b2372e6608f29d", "0_model_name": "intfloat/e5-mistral-7b-instruct", "0_prompt": "how to change share name in windows server 2008?", "0_output": [["how to change share name in windows server 2008?", "Superuser Stackexchange\n\nQ: How to change the administrator account name from command prompt in Windows Server 2008 Server Core? I'm trying to change the administrator account name on my virtual machine for lab work purposes. I'm running Windows Server 2008 Server Core, therefore I'm only using the standard command prompts.\nHow can I do this?\n\nA: If it domain user install Active Directory Administration module for PowerShell. \ncommand line:\npowershell Import-module ActiveDirectory\n\nrename domain user -\nPowershell:\nGet-ADUser -Identity 'Administrator' | Rename-ADObject -NewName 'Partisan'\n\ncommand line:\npowershell Get-ADUser -Identity 'Administrator' ^| Rename-ADObject -NewName 'Partisan'\n\nvar 2:\ndsquery user -name Administrator | dsmove -newname \"Partisan\"\n\nlocal administrator -\nPowershell:\nRename-LocalUser -UserName 'Administrator' -NewUserName 'Partisan'\n\ncommand line:\npowershell Rename-LocalUser -UserName 'Administrator' -NewUserName 'Partisan'\n\nvar2:\nwmic UserAccount where Name=\"Administrator\" call Rename Name=\"Partisan\"\n\n"]], "0_corpus": "stackexchange", "1_conv_id": "939f7aa837ce48d9b9700ee6346622d4", "1_model_name": "mixedbread-ai/mxbai-embed-large-v1", "1_prompt": "how to change share name in windows server 2008?", "1_output": [["how to change share name in windows server 2008?", "Serverfault Stackexchange\n\nQ: How do you configure a \\\\domain\\sharedFolder in windows 2008? Background: \n\n\n*\n\n*I've got several Windows 2008 servers setup by someone else.\n\n*They are all on one domain, lets call this mydomain\n\n*Several boxes are accessing a shared folder by going to \\\\mydomain\\share1\n\n*I found the actual files backing the share on box1\n\n*I need to move the location of this share to a larger drive for space reasons\n\n\nI'm familiar with setting up and managing shares like \\\\box1\\share1, but where do you manage/configure shares that are domain-wide; accessed like \\\\mydomain\\share1 ?\n\nA: It sounds like you have a domain based DFS configured, which is managed by the DFS Management utility.\n"]], "1_corpus": "stackexchange"} {"tstamp": 1722446198.8045, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "9e2f3e5d4eb04b5db030979a91bfe01e", "0_model_name": "text-embedding-3-large", "0_prompt": "How can a small visual-linguistic model be effectively trained using knowledge distillation?", "0_output": [["How can a small visual-linguistic model be effectively trained using knowledge distillation?", "Title: Compressing Visual-linguistic Model via Knowledge Distillation\n\nAbstract: Despite exciting progress in pre-training for visual-linguistic (VL) representations, very few aspire to a small VL model. In this paper, we study knowledge distillation (KD) to effectively compress a transformer-based large VL model into a small VL model. The major challenge arises from the inconsistent regional visual tokens extracted from different detectors of Teacher and Student, resulting in the misalignment of hidden representations and attention distributions. To address the problem, we retrain and adapt the Teacher by using the same region proposals from Student's detector while the features are from Teacher's own object detector. With aligned network inputs, the adapted Teacher is capable of transferring the knowledge through the intermediate representations. Specifically, we use the mean square error loss to mimic the attention distribution inside the transformer block and present a token-wise noise contrastive loss to align the hidden state by contrasting with negative representations stored in a sample queue. To this end, we show that our proposed distillation significantly improves the performance of small VL models on image captioning and visual question answering tasks. It reaches 120.8 in CIDEr score on COCO captioning, an improvement of 5.1 over its non-distilled counterpart; and an accuracy of 69.8 on VQA 2.0, a 0.8 gain from the baseline. Our extensive experiments and ablations confirm the effectiveness of VL distillation in both pre-training and fine-tuning stages."]], "0_corpus": "arxiv", "1_conv_id": "99d70563aab749489c924deb1dc45544", "1_model_name": "Salesforce/SFR-Embedding-2_R", "1_prompt": "How can a small visual-linguistic model be effectively trained using knowledge distillation?", "1_output": [["How can a small visual-linguistic model be effectively trained using knowledge distillation?", "Title: Compressing Visual-linguistic Model via Knowledge Distillation\n\nAbstract: Despite exciting progress in pre-training for visual-linguistic (VL) representations, very few aspire to a small VL model. In this paper, we study knowledge distillation (KD) to effectively compress a transformer-based large VL model into a small VL model. The major challenge arises from the inconsistent regional visual tokens extracted from different detectors of Teacher and Student, resulting in the misalignment of hidden representations and attention distributions. To address the problem, we retrain and adapt the Teacher by using the same region proposals from Student's detector while the features are from Teacher's own object detector. With aligned network inputs, the adapted Teacher is capable of transferring the knowledge through the intermediate representations. Specifically, we use the mean square error loss to mimic the attention distribution inside the transformer block and present a token-wise noise contrastive loss to align the hidden state by contrasting with negative representations stored in a sample queue. To this end, we show that our proposed distillation significantly improves the performance of small VL models on image captioning and visual question answering tasks. It reaches 120.8 in CIDEr score on COCO captioning, an improvement of 5.1 over its non-distilled counterpart; and an accuracy of 69.8 on VQA 2.0, a 0.8 gain from the baseline. Our extensive experiments and ablations confirm the effectiveness of VL distillation in both pre-training and fine-tuning stages."]], "1_corpus": "arxiv"} {"tstamp": 1722447804.2737, "task_type": "retrieval", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "a69e4fe18f394932a19bcd5b57c0266f", "0_model_name": "jinaai/jina-embeddings-v2-base-en", "0_prompt": "How can in-context learning emerge from pretraining documents with long-range coherence?", "0_output": [["How can in-context learning emerge from pretraining documents with long-range coherence?", "Title: Order Preservation in Limit Algebras\n\nAbstract: The matrix units of a digraph algebra, A, induce a relation, known as the diagonal order, on the projections in a masa in the algebra. Normalizing partial isometries in A act on these projections by conjugation; they are said to be order preserving when they respect the diagonal order. Order preserving embeddings, in turn, are those embeddings which carry order preserving normalizers to order preserving normalizers. This paper studies operator algebras which are direct limits of finite dimensional algebras with order preserving embeddings. We give a complete classification of direct limits of full triangular matrix algebras with order preserving embeddings. We also investigate the problem of characterizing algebras with order preserving embeddings."]], "0_corpus": "arxiv", "1_conv_id": "05b4950e4c6247cd99901948d031c52e", "1_model_name": "mixedbread-ai/mxbai-embed-large-v1", "1_prompt": "How can in-context learning emerge from pretraining documents with long-range coherence?", "1_output": [["How can in-context learning emerge from pretraining documents with long-range coherence?", "Title: An Explanation of In-context Learning as Implicit Bayesian Inference\n\nAbstract: Large language models (LMs) such as GPT-3 have the surprising ability to do in-context learning, where the model learns to do a downstream task simply by conditioning on a prompt consisting of input-output examples. The LM learns from these examples without being explicitly pretrained to learn. Thus, it is unclear what enables in-context learning. In this paper, we study how in-context learning can emerge when pretraining documents have long-range coherence. Here, the LM must infer a latent document-level concept to generate coherent next tokens during pretraining. At test time, in-context learning occurs when the LM also infers a shared latent concept between examples in a prompt. We prove when this occurs despite a distribution mismatch between prompts and pretraining data in a setting where the pretraining distribution is a mixture of HMMs. In contrast to messy large-scale datasets used to train LMs capable of in-context learning, we generate a small-scale synthetic dataset (GINC) where Transformers and LSTMs both exhibit in-context learning. Beyond the theory, experiments on GINC exhibit large-scale real-world phenomena including improved in-context performance with model scaling (despite the same pretraining loss), sensitivity to example order, and instances where zero-shot is better than few-shot in-context learning."]], "1_corpus": "arxiv"} {"tstamp": 1722448831.6873, "task_type": "retrieval", "type": "bothbadvote", "models": ["", ""], "ip": "", "0_conv_id": "7a79ffac6e0d41b3add4d6518d91cca8", "0_model_name": "BAAI/bge-large-en-v1.5", "0_prompt": "What's the purpose of `if __name__ == '__main__'`?", "0_output": [["What's the purpose of `if __name__ == '__main__'`?", "Stackoverflow Stackexchange\n\nQ: Why does it do this ? if - __name__ == '__main__' \nDuplicate of:\nWhat does if __name__== \"__main__\" do? \n\nConsider this code:\nif __name__ == '__main__':\n import pdb\n pdb.run(\"interact()\\n\")\n\nWhat does the following line mean?\nif(__name__=='__main__')\n\nI fainted.\n\nA: That is a check to see if you are directly running the script or if it is included in a library.\nWhen you run a python script like this:\npython myScript.py\n\nIt sends a parameter, telling you to run the programs first method, which is widely called \"main\", so when __name__ is __main__ you know that the program was executed from a command line or double clicked.\n"]], "0_corpus": "stackexchange", "1_conv_id": "4e34da23af094e5bae7f2ad3357c2fe9", "1_model_name": "jinaai/jina-embeddings-v2-base-en", "1_prompt": "What's the purpose of `if __name__ == '__main__'`?", "1_output": [["What's the purpose of `if __name__ == '__main__'`?", "Stackoverflow Stackexchange\n\nQ: html dangerous tags to avoid while developing a chat application I am developing a chat application using PHP and jQuery... all messages sent by the chat pair are appended to a
. While doing this, I found that tags such as \n \n\n\nMy hunch is that when you call requestPointerLock() it doesn't actually lock the mouse in one position, but just hides it. When the mouse goes off the window then it snaps the mouse back to the center which causes a large spike in the variable.\nWhat is the cause of the large spike and how can I fix it?\n"]], "0_corpus": "stackexchange", "1_conv_id": "a955ae43f11a4cf5abf4ca852b72c437", "1_model_name": "intfloat/multilingual-e5-large-instruct", "1_prompt": "how bhp is related to speed?", "1_output": [["how bhp is related to speed?", "Electronics Stackexchange\n\nQ: Why is this 240V / 20A motor labelled 3HP? Here's the motor badge:\n\nAs far as I know, 115 V x 40 A = 230 V x 20 A = 4600 watts which is equivalent to ~6.2 HP, all presumably @ full load.\nSo what does the \"3 HP\" mean?\nI know that in some cases the \"marketing HP\" is often loosely based on reality but usually that is in the sense of inflating the HP number to exaggerate capability. This obviously doesn't fit that pattern.\n\nA: '3 HP' marked on the motor name plate would be based on the measured full load torque at the rated speed (HP = full load torque kgm * full load speed RPM / 716).\nThe power factor of a single phase induction motor would generally be between 0.5 and 0.8. Assuming a power factor of 0.65 the motor input HP would be 230 x 20 x 0.65 / 735 = 4 and its efficiency 3/4 = 75%.\n"]], "1_corpus": "stackexchange"} {"tstamp": 1722455051.0478, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "6a5bffa844c345de8a7f47a5edd37c41", "0_model_name": "text-embedding-3-large", "0_prompt": "New technique for few-shot object detection that reduces object confusion through context integration.", "0_output": [["New technique for few-shot object detection that reduces object confusion through context integration.", "Title: Context-Transformer: Tackling Object Confusion for Few-Shot Detection\n\nAbstract: Few-shot object detection is a challenging but realistic scenario, where only a few annotated training images are available for training detectors. A popular approach to handle this problem is transfer learning, i.e., fine-tuning a detector pretrained on a source-domain benchmark. However, such transferred detector often fails to recognize new objects in the target domain, due to low data diversity of training samples. To tackle this problem, we propose a novel Context-Transformer within a concise deep transfer framework. Specifically, Context-Transformer can effectively leverage source-domain object knowledge as guidance, and automatically exploit contexts from only a few training images in the target domain. Subsequently, it can adaptively integrate these relational clues to enhance the discriminative power of detector, in order to reduce object confusion in few-shot scenarios. Moreover, Context-Transformer is flexibly embedded in the popular SSD-style detectors, which makes it a plug-and-play module for end-to-end few-shot learning. Finally, we evaluate Context-Transformer on the challenging settings of few-shot detection and incremental few-shot detection. The experimental results show that, our framework outperforms the recent state-of-the-art approaches."]], "0_corpus": "arxiv", "1_conv_id": "d8e366302c004f9abbf7a7b8730bebe6", "1_model_name": "Salesforce/SFR-Embedding-2_R", "1_prompt": "New technique for few-shot object detection that reduces object confusion through context integration.", "1_output": [["New technique for few-shot object detection that reduces object confusion through context integration.", "Title: Context-Transformer: Tackling Object Confusion for Few-Shot Detection\n\nAbstract: Few-shot object detection is a challenging but realistic scenario, where only a few annotated training images are available for training detectors. A popular approach to handle this problem is transfer learning, i.e., fine-tuning a detector pretrained on a source-domain benchmark. However, such transferred detector often fails to recognize new objects in the target domain, due to low data diversity of training samples. To tackle this problem, we propose a novel Context-Transformer within a concise deep transfer framework. Specifically, Context-Transformer can effectively leverage source-domain object knowledge as guidance, and automatically exploit contexts from only a few training images in the target domain. Subsequently, it can adaptively integrate these relational clues to enhance the discriminative power of detector, in order to reduce object confusion in few-shot scenarios. Moreover, Context-Transformer is flexibly embedded in the popular SSD-style detectors, which makes it a plug-and-play module for end-to-end few-shot learning. Finally, we evaluate Context-Transformer on the challenging settings of few-shot detection and incremental few-shot detection. The experimental results show that, our framework outperforms the recent state-of-the-art approaches."]], "1_corpus": "arxiv"} {"tstamp": 1722455076.5602, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "b9119008dd0340518bcc73e6dbbcaf88", "0_model_name": "embed-english-v3.0", "0_prompt": "A study on applying deep learning techniques to solve linear-time temporal logic problems.", "0_output": [["A study on applying deep learning techniques to solve linear-time temporal logic problems.", "Title: Teaching Temporal Logics to Neural Networks\n\nAbstract: We study two fundamental questions in neuro-symbolic computing: can deep learning tackle challenging problems in logics end-to-end, and can neural networks learn the semantics of logics. In this work we focus on linear-time temporal logic (LTL), as it is widely used in verification. We train a Transformer on the problem to directly predict a solution, i.e. a trace, to a given LTL formula. The training data is generated with classical solvers, which, however, only provide one of many possible solutions to each formula. We demonstrate that it is sufficient to train on those particular solutions to formulas, and that Transformers can predict solutions even to formulas from benchmarks from the literature on which the classical solver timed out. Transformers also generalize to the semantics of the logics: while they often deviate from the solutions found by the classical solvers, they still predict correct solutions to most formulas."]], "0_corpus": "arxiv", "1_conv_id": "36dc670007e54f0a951cf8805dee5c91", "1_model_name": "BM25", "1_prompt": "A study on applying deep learning techniques to solve linear-time temporal logic problems.", "1_output": [["A study on applying deep learning techniques to solve linear-time temporal logic problems.", "Title: Intransitive Linear Temporal Logic, Knowledge from Past, Decidability, Admissible Rules\n\nAbstract: Our manuscript studies linear temporal (with UNTIL and NEXT) logic based at a conception of intransitive time. non-transitive time. In particular, we demonstrate how the notion of knowledge might be represented in such a framework (here we consider logical operation NN and the operation UNTIL (actually, the time overall) to be directed to past). The basic mathematical problems we study are the fundamental ones for any logical system - decidability and decidability w.r.t. admissible rules. First, we consider the logic with non-uniform non-transitivity, and describe how to solve the decidability problem for this logic. Then we consider a modification of this logic - linear temporal logic with uniform intransitivity and solve the problem of admissibility for inference rules. A series of open problems is enumerated in the concluding part of the paper."]], "1_corpus": "arxiv"} {"tstamp": 1722455103.2155, "task_type": "retrieval", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "48eae009d39c44638a7a6667083dab13", "0_model_name": "text-embedding-004", "0_prompt": "when was half life 2 episode 2 released", "0_output": [["when was half life 2 episode 2 released", "Half-Life 2: Episode Two\n\nHalf-Life 2: Episode Two is a 2007 first-person shooter game developed and published by Valve. Following Episode One (2006), it is the second of two shorter episodic games that continue the story of Half-Life 2 (2004). Players control Gordon Freeman, who travels through the mountains surrounding City 17 to a resistance base with his ally Alyx Vance. Like previous games in the series, Episode Two combines shooting, puzzle-solving and narrative elements, but adds expansive environments and less linear sequences.\nEpisode Two was released on 10 October 2007, for Windows on Valve's distribution service Steam, and as a part of The Orange Box, a compilation of Valve games for Xbox 360 and PlayStation 3. The PlayStation version was produced by Electronic Arts. Episode Two received positive reviews.\nHalf-Life 2: Episode Three was announced for Christmas 2007, but was canceled as Valve abandoned episodic development. In 2020, after canceling several further Half-Life projects, Valve released Half-Life: Alyx."]], "0_corpus": "wikipedia", "1_conv_id": "1d3f3accd8194e189569a7bcdd7a1536", "1_model_name": "jinaai/jina-embeddings-v2-base-en", "1_prompt": "when was half life 2 episode 2 released", "1_output": [["when was half life 2 episode 2 released", "Half-Life 2: Episode Two\n\nAn announcement was made on July 13, 2006, stating that Episode Two would be released on Xbox 360 and PlayStation 3 in addition to the PC, where previous iterations of the series separated. Valve handled the development for the PC and Xbox 360, while Electronic Arts (EA) worked on the PlayStation 3 version. It was announced on September 7, 2007, that the PlayStation 3 version of the game would be delayed because the EA studio behind the game was in the United Kingdom, away from Valve's development team, and therefore lagged behind in its schedule. According to Valve's marketing director, Doug Lombardi, the Xbox 360, PlayStation 3, and PC versions would be identical in functionality and performance.\nAn audio commentary is also featured, as in Episode One and Lost Coast. Tony Todd replaced Louis Gossett Jr. as the voice of the Vortigaunts.\nReception\nHalf-Life 2: Episode Two received an average score of 90.68% based on 22 reviews on the review aggregator GameRankings. On Metacritic, it has an average score of 90 out of 100 based on 21 reviews, indicating \"universal acclaim\". As part of The Orange Box compilation, Episode Two shared with Portal and Team Fortress 2 in winning \"Computer Game of the Year\" at the 11th Annual Interactive Achievement Awards."]], "1_corpus": "wikipedia"} {"tstamp": 1722455161.7744, "task_type": "retrieval", "type": "bothbadvote", "models": ["", ""], "ip": "", "0_conv_id": "c1deb7c97c874446b1ce6d9043448923", "0_model_name": "BAAI/bge-large-en-v1.5", "0_prompt": "are achiral and meso the same?", "0_output": [["are achiral and meso the same?", "Math Stackexchange\n\nQ: Identical left- and right isoclinic rotations Consider the group $SO(4)$. We know that each element in $SO(4)$ can be decomposed as a product of a left- and right-isoclinic rotation. Now, I have found two sets of three $SO(4)$ matrices that fulfill the $SU(2)$ algebra relations (as expected because $SO(4) \\simeq SU(2) \\otimes SU(2) / \\mathbb{Z}_2$) and matrices of the different sets commute.\nNow I would like to consider the subgroup of $SO(4)$ that is spanned by choosing multiplying \"identical\" left and right-isoclinic rotations, i.e. elements $G = L R$ where $L= a^0 1 + a^j M^j$ and $R = a^0 1 +a^j G^j$ where $M^j$ and $G^j$ are the respective elements of the two sets.\nSpecifically, I am interested in the center of the group described above. An explicit computation with Mathematica reveals that the center manifold is two-dimensional. I am curious if the subgroup described above has any geometrical interpretation/formal name, and if there are more rigorous results established.\nThanks!\n"]], "0_corpus": "stackexchange", "1_conv_id": "11e8933243be47b3a6f23b11f6a03a90", "1_model_name": "Salesforce/SFR-Embedding-2_R", "1_prompt": "are achiral and meso the same?", "1_output": [["are achiral and meso the same?", "Math Stackexchange\n\nQ: What is the difference between chirality and chiral symmetry? The Wikipedia article of Chiral symmetry doesn't differentiate the two terms \"chiral symmetry\" and \"chirality\", hence confusing me. Are they the same?\n\nA: Yes, chiral comes from the Greek word χέρι for hand. But in a way chirality and chiral symmetry are opposites: Both your hands together are an object with chiral symmetry because \"mirror image of two hands\" looks the same as \"two hands\" - though the reflection interchanges the hands, so to speak. On the other, erm, hand, a single hand (your right hand, say) shows the property of chirality because its mirror image looks different (like a left hand).\n"]], "1_corpus": "stackexchange"} {"tstamp": 1722455223.4799, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "e22e347478694b7c97ded3f1957d4332", "0_model_name": "embed-english-v3.0", "0_prompt": "New method in self-supervised representation learning achieving higher accuracy than supervised methods on ImageNet.", "0_output": [["New method in self-supervised representation learning achieving higher accuracy than supervised methods on ImageNet.", "Title: Towards Efficient and Effective Self-Supervised Learning of Visual Representations\n\nAbstract: Self-supervision has emerged as a propitious method for visual representation learning after the recent paradigm shift from handcrafted pretext tasks to instance-similarity based approaches. Most state-of-the-art methods enforce similarity between various augmentations of a given image, while some methods additionally use contrastive approaches to explicitly ensure diverse representations. While these approaches have indeed shown promising direction, they require a significantly larger number of training iterations when compared to the supervised counterparts. In this work, we explore reasons for the slow convergence of these methods, and further propose to strengthen them using well-posed auxiliary tasks that converge significantly faster, and are also useful for representation learning. The proposed method utilizes the task of rotation prediction to improve the efficiency of existing state-of-the-art methods. We demonstrate significant gains in performance using the proposed method on multiple datasets, specifically for lower training epochs."]], "0_corpus": "arxiv", "1_conv_id": "bb0373668cce4aaf9d78f34ab210bd95", "1_model_name": "BAAI/bge-large-en-v1.5", "1_prompt": "New method in self-supervised representation learning achieving higher accuracy than supervised methods on ImageNet.", "1_output": [["New method in self-supervised representation learning achieving higher accuracy than supervised methods on ImageNet.", "Title: A Survey on Self-Supervised Representation Learning\n\nAbstract: Learning meaningful representations is at the heart of many tasks in the field of modern machine learning. Recently, a lot of methods were introduced that allow learning of image representations without supervision. These representations can then be used in downstream tasks like classification or object detection. The quality of these representations is close to supervised learning, while no labeled images are needed. This survey paper provides a comprehensive review of these methods in a unified notation, points out similarities and differences of these methods, and proposes a taxonomy which sets these methods in relation to each other. Furthermore, our survey summarizes the most-recent experimental results reported in the literature in form of a meta-study. Our survey is intended as a starting point for researchers and practitioners who want to dive into the field of representation learning."]], "1_corpus": "arxiv"} {"tstamp": 1722455269.2171, "task_type": "retrieval", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "c2c533a19bc143e3b1104827cab95406", "0_model_name": "BM25", "0_prompt": "who played alex cross in along came a spider", "0_output": [["who played alex cross in along came a spider", "Alex Cross (novel series)\n\nThe series began in 1993 and is ongoing. Nearly all the stories have made bestsellers lists and garnered favorable reviews, especially Double Cross; Cross Fire; I, Alex Cross; and Alex Cross, Run.\nThe series is published worldwide, with Little, Brown currently holding publication rights in the United States, in paperback, hardcover, and audiobook editions. The first book in the series, Along Came a Spider, was released in 1993 to positive reviews, spawning a series of over twenty subsequent novels. The series has resulted in three movies, Kiss the Girls (1997), Along Came a Spider (2001), and Alex Cross (2012).\nPlot overview\nAlex Cross is a widower, detective, and father who fights against criminals who wish to kill Cross and others. It mainly emphasizes Cross trying to solve difficult cases while attempting to maintain a relationship with his family. One of the antagonists in the earlier books is Gary Soneji, who wants to kill Cross for putting him in prison. Cross sometimes works with (or against) the President and Secret Service in a few books such as Along Came a Spider, Jack & Jill, I, Alex Cross, and Kill Alex Cross. An ongoing theme in the earlier novels is the unsolved murder of his first wife, Maria."]], "0_corpus": "wikipedia", "1_conv_id": "f26a902c363c4eaa8cc4868b68aff102", "1_model_name": "Salesforce/SFR-Embedding-2_R", "1_prompt": "who played alex cross in along came a spider", "1_output": [["who played alex cross in along came a spider", "Along Came a Spider (film)\n\nAlong Came a Spider is a 2001 American neo-noir psychological thriller film directed by Lee Tamahori. It is the second installment in the Alex Cross film series and a sequel to the 1997 film Kiss the Girls, with Morgan Freeman and Jay O. Sanders reprising their roles as detective Alex Cross and FBI-agent Kyle Craig. The screenplay by Marc Moss was adapted from the 1993 novel of the same title by James Patterson, but many of the key plot elements of the book were eliminated. The film was a box office success, despite receiving mixed-to-negative reviews from critics like its predecessor."]], "1_corpus": "wikipedia"} {"tstamp": 1722455310.2505, "task_type": "retrieval", "type": "bothbadvote", "models": ["", ""], "ip": "", "0_conv_id": "844c0ca5141c43fcbea0451e0428edd2", "0_model_name": "Salesforce/SFR-Embedding-2_R", "0_prompt": "when did movies start coming out in color", "0_output": [["when did movies start coming out in color", "Technicolor\n\nTechnicolor is a series of color motion picture processes, the first version dating back to 1916, and followed by improved versions over several decades.\nDefinitive Technicolor movies using three black-and-white films running through a special camera (3-strip Technicolor or Process 4) started in the early 1930s and continued through to the mid-1950s, when the 3-strip camera was replaced by a standard camera loaded with single-strip \"monopack\" color negative film. Technicolor Laboratories were still able to produce Technicolor prints by creating three black-and-white matrices from the Eastmancolor negative (Process 5)."]], "0_corpus": "wikipedia", "1_conv_id": "21e86a54f1a541cb9fefd7b00927e6a7", "1_model_name": "jinaai/jina-embeddings-v2-base-en", "1_prompt": "when did movies start coming out in color", "1_output": [["when did movies start coming out in color", "Timeline of the introduction of color television in countries\n\nThis is a list of when the first color television broadcasts were transmitted to the general public. Non-public field tests, closed-circuit demonstrations and broadcasts available from other countries are not included, while including dates when the last black-and-white stations in the country switched to color or shutdown all black-and white television sets, which has been highlighted in red.\nList in alphabetical order\nNote: Asterisks (*) after locations below are for \"Television in LOCATION\" links.\nList of territories that never had black and white television\nCountries and territories that never had black and white television (i.e., their first broadcasts were in color) are not included in the table above.\n(Bechuanaland)\n(Swaziland)\n(Nyasaland)\n(South West Africa)\n(Ceylon)\n(Tanganyika)"]], "1_corpus": "wikipedia"} {"tstamp": 1722455336.544, "task_type": "retrieval", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "0107d3e6e8e646c2bfdc2ebec090fcdd", "0_model_name": "voyage-multilingual-2", "0_prompt": "A paper proposing a method for aspect level sentiment classification utilizing dependency graphs and graph attention networks.", "0_output": [["A paper proposing a method for aspect level sentiment classification utilizing dependency graphs and graph attention networks.", "Title: Aspect and Opinion Term Extraction Using Graph Attention Network\n\nAbstract: In this work we investigate the capability of Graph Attention Network for extracting aspect and opinion terms. Aspect and opinion term extraction is posed as a token-level classification task akin to named entity recognition. We use the dependency tree of the input query as additional feature in a Graph Attention Network along with the token and part-of-speech features. We show that the dependency structure is a powerful feature that in the presence of a CRF layer substantially improves the performance and generates the best result on the commonly used datasets from SemEval 2014, 2015 and 2016. We experiment with additional layers like BiLSTM and Transformer in addition to the CRF layer. We also show that our approach works well in the presence of multiple aspects or sentiments in the same query and it is not necessary to modify the dependency tree based on a single aspect as was the original application for sentiment classification."]], "0_corpus": "arxiv", "1_conv_id": "753ad5ae6b6c480d8649c997d2ce29cb", "1_model_name": "sentence-transformers/all-MiniLM-L6-v2", "1_prompt": "A paper proposing a method for aspect level sentiment classification utilizing dependency graphs and graph attention networks.", "1_output": [["A paper proposing a method for aspect level sentiment classification utilizing dependency graphs and graph attention networks.", "Title: Near-Optimal Data Source Selection for Bayesian Learning\n\nAbstract: We study a fundamental problem in Bayesian learning, where the goal is to select a set of data sources with minimum cost while achieving a certain learning performance based on the data streams provided by the selected data sources. First, we show that the data source selection problem for Bayesian learning is NP-hard. We then show that the data source selection problem can be transformed into an instance of the submodular set covering problem studied in the literature, and provide a standard greedy algorithm to solve the data source selection problem with provable performance guarantees. Next, we propose a fast greedy algorithm that improves the running times of the standard greedy algorithm, while achieving performance guarantees that are comparable to those of the standard greedy algorithm. The fast greedy algorithm can also be applied to solve the general submodular set covering problem with performance guarantees. Finally, we validate the theoretical results using numerical examples, and show that the greedy algorithms work well in practice."]], "1_corpus": "arxiv"} {"tstamp": 1722455387.1849, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "1d05792534904db2b2389264d7699e9c", "0_model_name": "voyage-multilingual-2", "0_prompt": "x is subtracted from y?", "0_output": [["x is subtracted from y?", "Ell Stackexchange\n\nQ: Subtracts A from B This is quite an embarrassing question, but what does it mean subtracting A from B?\n\n\n*\n\n*B - A (correct, in my opinion)\n\n*A - B\nI got a bit confused and I wouldn't err all the exercise because of this little confusion.\n\nA: You are correct (Both linguistically and mathematically)\nWe start with B and remove A\n"]], "0_corpus": "stackexchange", "1_conv_id": "8aa2d50fd7af49d5bb5fa7629c61c4b1", "1_model_name": "BAAI/bge-large-en-v1.5", "1_prompt": "x is subtracted from y?", "1_output": [["x is subtracted from y?", "Stackoverflow Stackexchange\n\nQ: Subtracting lowest number from several numbers I have two numbers. I want the lower number to be the subtracted from both values.\nx: 1000\ny: 200\n=> result: x = 800 and y = 0.\n\nThe following is kinda ugly to me, so is there a better approach I could do this?\nif (x <= y) {\n y = y - x;\n x = 0\n} else {\n x = x - y;\n y = 0;\n}\n\n\nA: You can do following: \nx = x - y;\ny = 0;\n\nif(x<0)\n{\n y = -x\n x = 0;\n}\n\n"]], "1_corpus": "stackexchange"} {"tstamp": 1722455428.3115, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "8d0b7972db504ebfbb4108f368b538f6", "0_model_name": "BAAI/bge-large-en-v1.5", "0_prompt": "why is the ball and stick model not a true representation of the structure of an ionic compound", "0_output": [["why is the ball and stick model not a true representation of the structure of an ionic compound", "Molecular geometry\n\nVSEPR table The bond angles in the table below are ideal angles from the simple VSEPR theory (pronounced \"Vesper Theory\"), followed by the actual angle for the example given in the following column where this differs. For many cases, such as trigonal pyramidal and bent, the actual angle for the example differs from the ideal angle, and examples differ by different amounts. For example, the angle in H2S (92°) differs from the tetrahedral angle by much more than the angle for H2O (104.48°) does.\n3D representations\nLine or stick – atomic nuclei are not represented, just the bonds as sticks or lines. As in 2D molecular structures of this type, atoms are implied at each vertex.\nElectron density plot – shows the electron density determined either crystallographically or using quantum mechanics rather than distinct atoms or bonds.\nBall and stick – atomic nuclei are represented by spheres (balls) and the bonds as sticks.\nSpacefilling models or CPK models (also an atomic coloring scheme in representations) – the molecule is represented by overlapping spheres representing the atoms.\nCartoon – a representation used for proteins where loops, beta sheets, and alpha helices are represented diagrammatically and no atoms or bonds are explicitly represented (e.g. the protein backbone is represented as a smooth pipe).\nThe greater the amount of lone pairs contained in a molecule, the smaller the angles between the atoms of that molecule. The VSEPR theory predicts that lone pairs repel each other, thus pushing the different atoms away from them."]], "0_corpus": "wikipedia", "1_conv_id": "277b972d06414d40894d67cd14fc85ba", "1_model_name": "Salesforce/SFR-Embedding-2_R", "1_prompt": "why is the ball and stick model not a true representation of the structure of an ionic compound", "1_output": [["why is the ball and stick model not a true representation of the structure of an ionic compound", "Ion\n\nIonic bonding Ionic bonding is a kind of chemical bonding that arises from the mutual attraction of oppositely charged ions. Ions of like charge repel each other, and ions of opposite charge attract each other. Therefore, ions do not usually exist on their own, but will bind with ions of opposite charge to form a crystal lattice. The resulting compound is called an ionic compound, and is said to be held together by ionic bonding. In ionic compounds there arise characteristic distances between ion neighbours from which the spatial extension and the ionic radius of individual ions may be derived.\nThe most common type of ionic bonding is seen in compounds of metals and nonmetals (except noble gases, which rarely form chemical compounds). Metals are characterized by having a small number of electrons in excess of a stable, closed-shell electronic configuration. As such, they have the tendency to lose these extra electrons in order to attain a stable configuration. This property is known as electropositivity. Non-metals, on the other hand, are characterized by having an electron configuration just a few electrons short of a stable configuration. As such, they have the tendency to gain more electrons in order to achieve a stable configuration. This tendency is known as electronegativity. When a highly electropositive metal is combined with a highly electronegative nonmetal, the extra electrons from the metal atoms are transferred to the electron-deficient nonmetal atoms. This reaction produces metal cations and nonmetal anions, which are attracted to each other to form a salt."]], "1_corpus": "wikipedia"} {"tstamp": 1722455460.5337, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "4ef74546db6542d8bf5807098be56c91", "0_model_name": "BM25", "0_prompt": "A model that uses a 2-D matrix for embeddings to attend to different parts of a sentence.", "0_output": [["A model that uses a 2-D matrix for embeddings to attend to different parts of a sentence.", "Title: A Structured Self-attentive Sentence Embedding\n\nAbstract: This paper proposes a new model for extracting an interpretable sentence embedding by introducing self-attention. Instead of using a vector, we use a 2-D matrix to represent the embedding, with each row of the matrix attending on a different part of the sentence. We also propose a self-attention mechanism and a special regularization term for the model. As a side effect, the embedding comes with an easy way of visualizing what specific parts of the sentence are encoded into the embedding. We evaluate our model on 3 different tasks: author profiling, sentiment classification, and textual entailment. Results show that our model yields a significant performance gain compared to other sentence embedding methods in all of the 3 tasks."]], "0_corpus": "arxiv", "1_conv_id": "998d7085de374c0d8147aebed85f00b7", "1_model_name": "Salesforce/SFR-Embedding-2_R", "1_prompt": "A model that uses a 2-D matrix for embeddings to attend to different parts of a sentence.", "1_output": [["A model that uses a 2-D matrix for embeddings to attend to different parts of a sentence.", "Title: A Structured Self-attentive Sentence Embedding\n\nAbstract: This paper proposes a new model for extracting an interpretable sentence embedding by introducing self-attention. Instead of using a vector, we use a 2-D matrix to represent the embedding, with each row of the matrix attending on a different part of the sentence. We also propose a self-attention mechanism and a special regularization term for the model. As a side effect, the embedding comes with an easy way of visualizing what specific parts of the sentence are encoded into the embedding. We evaluate our model on 3 different tasks: author profiling, sentiment classification, and textual entailment. Results show that our model yields a significant performance gain compared to other sentence embedding methods in all of the 3 tasks."]], "1_corpus": "arxiv"} {"tstamp": 1722455484.9823, "task_type": "retrieval", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "1baf6f26f6be40099a180278b63f05ec", "0_model_name": "sentence-transformers/all-MiniLM-L6-v2", "0_prompt": "are antiderivatives and indefinite integrals the same?", "0_output": [["are antiderivatives and indefinite integrals the same?", "Apple Stackexchange\n\nQ: How to delete leftover files from aborted migrations? I recently got a new MacBook Air and used Migration Assistant (henceforth abbreviated as MA) to transfer my stuff from my old MacBook Pro. However, until MA actually worked all the way, I had to abort it and restart both machines three times. This resulted in around 50GB of wasted space in my new macbook (but no extraneous user accounts, as I read elsewhere) that I don't know how to eliminate. I assume there are some cache files that MA creates & uses until the entire migration is complete. \nWhere can I find these files, to delete the leftover ones from the incomplete migrations?\n\nA: For me it was in /var/folders/zz/, but all you need to do to reclaim space is reboot your computer and it gets deleted automagically for you.\n"]], "0_corpus": "stackexchange", "1_conv_id": "eef27aa5e2544fcab04e4c067f48ff2c", "1_model_name": "voyage-multilingual-2", "1_prompt": "are antiderivatives and indefinite integrals the same?", "1_output": [["are antiderivatives and indefinite integrals the same?", "Math Stackexchange\n\nQ: What is the difference between an indefinite integral and an antiderivative? I thought these were different words for the same thing, but it seems I am wrong. Help.\n\nA: (http://math.mit.edu/suppnotes/suppnotes01-01a/01ft.pdf) p 1 sur 7 \nAntiderivative is an indefinite integral. \n\n"]], "1_corpus": "stackexchange"} {"tstamp": 1722455508.2041, "task_type": "retrieval", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "0d86db36f13b4d0287ad2228b9530a24", "0_model_name": "Salesforce/SFR-Embedding-2_R", "0_prompt": "are decision trees sensitive to outliers?", "0_output": [["are decision trees sensitive to outliers?", "Stats Stackexchange\n\nQ: Can CART models be made robust? A colleague in my office said to me today \"Tree models aren't good because they get caught by extreme observations\".\nA search here resulted in this thread that basically supports the claim.\nWhich leads me to the question - under what situation can a CART model be robust, and how is that shown?\n\nA: You might consider using Breiman's bagging or random forests. One good reference is Breiman \"Bagging Predictors\" (1996). Also summarized in Clifton Sutton's \"Classification and Regression Trees, Bagging, and Boosting\" in the Handbook of Statistics.\nYou can also see Andy Liaw and Matthew Wiener R News discussion of the randomForest package.\n"]], "0_corpus": "stackexchange", "1_conv_id": "8ed1a665fcb24ddeafa76d5a6aff5fbc", "1_model_name": "intfloat/multilingual-e5-large-instruct", "1_prompt": "are decision trees sensitive to outliers?", "1_output": [["are decision trees sensitive to outliers?", "Stats Stackexchange\n\nQ: Decision Trees on training data Wouldn't any decision tree trained on a training data set have no errors in classification? In other words, wouldn't every data point be classified correctly in the training data set? How would this tie in with the misclassification rate?\n\nA: A decision tree trained on a training data set would only have no errors in classification if:\n\n\n*\n\n*You allowed your tree to have an infinite number of splits.\n\n\nTheoretically then you could have a large series of branches which lead to terminal nodes that each have one observation and the correct classification on the training data.\nThis model however, would not generalize to new data. The model would most likely be incredibly poor when applied to new (Test) data and you have overfitted your model. Therefore when building a classification tree model pruning must be performed.\nTo prune your model you use the complexity parameter which balances the tradeoff between overfitting your model and the missclassification rate\nSee Using Tree-Based Models in R for a good explanation in R\nAlso Choosing The Complexity Parameter instructions\n"]], "1_corpus": "stackexchange"} {"tstamp": 1722455532.8506, "task_type": "retrieval", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "09b83815e8b54b6c8b5febc64ab7373c", "0_model_name": "Salesforce/SFR-Embedding-2_R", "0_prompt": "what happens at the end of the boy next door", "0_output": [["what happens at the end of the boy next door", "The Boy Next Door (film)\n\nPlot Claire Peterson is separated from her husband Garrett, who was cheating on her with his secretary, but does not divorce him. 19-year-old Noah Sandborn, an orphan whose parents died a year before, moves in next door to help his uncle, who uses a wheelchair. Noah befriends Kevin, Claire's teenage son, and begins attending his school, where she teaches classics.\nWhile Kevin and Garrett go away on a fishing trip, Claire goes on a miserable double date with her best friend Vicky Lansing, Vicky's boyfriend Ethan, and his ill-mannered friend Benny. Claire later has dinner with Noah, during which he flirts with her. The two eventually have sex. The following morning, Claire wakes up and says she regrets their night together, causing him to become enraged.\nAfter the school year begins, Noah hacks into Claire's computer, making it appear as if she sent an e-mail to the principal requesting Noah to be in her class. Continuing to hang out with Kevin, Noah manipulates him into hating his father. Later, Kevin overexerts himself at gym class and goes into shock; Noah saves his life by injecting him with his EpiPen. Claire receives flowers from Noah, and confronts him about it before later spending the evening at home with Garrett. Noah witnesses this, and his obsession with her escalates."]], "0_corpus": "wikipedia", "1_conv_id": "8240b86a881c4a989273889634c235a3", "1_model_name": "BM25", "1_prompt": "what happens at the end of the boy next door", "1_output": [["what happens at the end of the boy next door", "Konnie Huq\n\nChildren's books Her book for children Cookie and the Most Annoying Boy in the World was published in 2019 and is the first of a projected three-book series. The book centres around the fictional character Cookie Haque, a schoolchild who enjoys learning about science, and what happens when her best friend moves away, and a boy that Cookie considers the most annoying boy in the world moves next door. Huq wrote and illustrated the book. The character of Cookie has been described by Huq as \"a cross between Wimpy Kid and Bridget Jones.\" As of May 2020, the next book in the series, with a theme of climate change, was due to be published in August 2020.\nPhilanthropy\nIn 2005, Huq took part in the BBC One fundraising show Comic Relief Does Fame Academy. She was the third contestant to be voted off, after her rendition of Kim Wilde's Kids in America. She travelled to Uganda and met orphaned children on behalf of Comic Relief.\nHuq travelled to Afghanistan with the charity Afghanaid to film a BBC Lifelines appeal, which was aired on 21 September 2008, and the following year she travelled to India as part of Rotary International's \"Thanks for Life/End Polio Now\" campaign. She administered polio vaccine to children as part of the trip."]], "1_corpus": "wikipedia"} {"tstamp": 1722456166.4961, "task_type": "retrieval", "type": "bothbadvote", "models": ["", ""], "ip": "", "0_conv_id": "788ed5b62f864590b2f384c0beb64314", "0_model_name": "sentence-transformers/all-MiniLM-L6-v2", "0_prompt": "Which test was devised to determine whether robots can think?", "0_output": [["Which test was devised to determine whether robots can think?", "History of robots\n\nIt features a female humanoid automaton standing by a basin filled with water.When the user pulls the lever, the water drains and the female automaton refills the basin. Furthermore, he created a robotic musical band. According to Mark Rosheim, unlike Greek designs Arab automata worked with dramatic illusion and manipulated the human perception for practical application. The segmental gears described in The Book of Knowledge of Ingenious Mechanical Devices, published by Al-Jazari shortly before his death in 1206, appeared 100 years later in the most advanced European clocks. Al-Jazari also published instructions on the construction of humanoid automata. The first water clocks modeled on Arabic designs were constructed in Europe about 1000 CE, possibly on the basis of the information that was transmitted during Muslim-Christian contact in Sicily and Spain. Among the first recorded European water clocks is that of Gerbert of Aurillac, built in 985 CE. Hero's works on automata were translated into Latin amid the 12th century Renaissance. The early 13th-century artist-engineer Villard de Honnecourt sketched plans for several automata. "]], "0_corpus": "wikipedia", "1_conv_id": "09d7ed092f714af68f965f054e38a8ff", "1_model_name": "jinaai/jina-embeddings-v2-base-en", "1_prompt": "Which test was devised to determine whether robots can think?", "1_output": [["Which test was devised to determine whether robots can think?", "Cognitive test\n\nCognitive tests are assessments of the cognitive capabilities of humans and other animals. Tests administered to humans include various forms of IQ tests; those administered to animals include the mirror test (a test of visual self-awareness) and the T maze test (which tests learning ability). Such testing is used in psychology and psychometrics, as well as other fields studying human and animal intelligence."]], "1_corpus": "wikipedia"} {"tstamp": 1722456452.0411, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "dba1be91a2f54ce381004ee6b0d42050", "0_model_name": "jinaai/jina-embeddings-v2-base-en", "0_prompt": "What is Denmark?", "0_output": [["What is Denmark?", "Denmark\n\nDenmark (, ) is a Nordic country in the south-central portion of Northern Europe. It is the metropolitan part of and the most populous constituent of the Kingdom of Denmark, a constitutionally unitary state that includes the autonomous territories of the Faroe Islands and Greenland in the North Atlantic Ocean. Metropolitan Denmark is the southernmost of the Scandinavian countries, lying south-west and south of Sweden, south of Norway, and north of Germany, with which it shares a short border.\nAs of 2013, the Kingdom of Denmark, including the Faroe Islands and Greenland, had a total of 1,419 islands greater than in area; 443 of these have been named and 78 are inhabited. Spanning a total area of , metropolitan Denmark consists of the northern part of the Jutland peninsula and an archipelago of 406 islands. Of these, the most populated island is Zealand, on which the capital and largest city, Copenhagen, is situated, followed by Funen, the North Jutlandic Island, and Amager. Denmark has flat, arable land, sandy coasts, low elevations, and a temperate climate. It had a population of 5,964,059 (1 December 2023), of whom 800,000 live in Copenhagen (2 million in the wider area). Denmark exercises hegemonic influence in the Danish Realm, devolving powers to handle internal affairs. Home rule was established in the Faroe Islands in 1948 and in Greenland in 1979; the latter obtained further autonomy in 2009."]], "0_corpus": "wikipedia", "1_conv_id": "7068afe0376e4d2188f9608f59f9cbc0", "1_model_name": "text-embedding-3-large", "1_prompt": "What is Denmark?", "1_output": [["What is Denmark?", "Denmark\n\nDenmark (, ) is a Nordic country in the south-central portion of Northern Europe. It is the metropolitan part of and the most populous constituent of the Kingdom of Denmark, a constitutionally unitary state that includes the autonomous territories of the Faroe Islands and Greenland in the North Atlantic Ocean. Metropolitan Denmark is the southernmost of the Scandinavian countries, lying south-west and south of Sweden, south of Norway, and north of Germany, with which it shares a short border.\nAs of 2013, the Kingdom of Denmark, including the Faroe Islands and Greenland, had a total of 1,419 islands greater than in area; 443 of these have been named and 78 are inhabited. Spanning a total area of , metropolitan Denmark consists of the northern part of the Jutland peninsula and an archipelago of 406 islands. Of these, the most populated island is Zealand, on which the capital and largest city, Copenhagen, is situated, followed by Funen, the North Jutlandic Island, and Amager. Denmark has flat, arable land, sandy coasts, low elevations, and a temperate climate. It had a population of 5,964,059 (1 December 2023), of whom 800,000 live in Copenhagen (2 million in the wider area). Denmark exercises hegemonic influence in the Danish Realm, devolving powers to handle internal affairs. Home rule was established in the Faroe Islands in 1948 and in Greenland in 1979; the latter obtained further autonomy in 2009."]], "1_corpus": "wikipedia"} {"tstamp": 1722456516.323, "task_type": "retrieval", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "6f40f0d233844dee837ccdb35ec1f12f", "0_model_name": "embed-english-v3.0", "0_prompt": "who plays the first nfl game of the season", "0_output": [["who plays the first nfl game of the season", "2010 NFL season\n\nOpening weekend The NFL Kickoff Game, the first game of the season, took place on Thursday, September 9, starting at 8:35 pm EDT, with the Super Bowl XLIV champion New Orleans Saints hosting the Minnesota Vikings, in a rematch of the 2009 NFC Championship Game, with New Orleans winning. Like in previous years, the opening week's prime-time games were expected to be announced at the NFL's annual owners meetings in late March, but that wasn't the case this year, with the schedule announced on April 20.\nOn March 15, the NFL announced that both the New York Giants and New York Jets would play at home during Week 1 to open New Meadowlands Stadium. The Giants played on Sunday afternoon against the Carolina Panthers and the Jets opened ESPN's Monday Night Football schedule against the Baltimore Ravens the next night. For the nightcap, the San Diego Chargers traveled to play their division rivals the Kansas City Chiefs, marking the first time that a team from outside the Mountain or Pacific Time Zones has played in, or hosted, the \"late\" (10:15 pm ET) game.\nInternational play\nThe 2010 season featured one International game, played at Wembley Stadium in London. The teams for this game were confirmed on January 15, 2010, with the San Francisco 49ers playing host to the Denver Broncos on October 31, at 1:00 pm EDT (5:00 pm GMT), with San Francisco winning."]], "0_corpus": "wikipedia", "1_conv_id": "02d430497a934baf894a6f77ca644799", "1_model_name": "Alibaba-NLP/gte-Qwen2-7B-instruct", "1_prompt": "who plays the first nfl game of the season", "1_output": [["who plays the first nfl game of the season", "NFL Kickoff Game\n\nThe National Football League Kickoff Game, along with related festivities, marks the official start of the National Football League (NFL) regular season. A single game is held, preceded by a concert and other ceremonies. This first game of the season is usually scheduled for the Thursday following Labor Day. An exception was made in 2012, when the game was moved to Wednesday to prevent conflicts with the acceptance speech of the Democratic National Convention. Although the Kickoff Game is typically played on Thursday night, the league treats it separately from the Thursday Night Football games during the rest of the season.\nThe Kickoff Game was introduced in the 2002 season. From 2004 onward, the defending Super Bowl champion has hosted the Kickoff Game with a couple of exceptions—in 2013, the defending champion Baltimore Ravens opened on the road because of a conflict with a previously scheduled Orioles baseball game the same day, and in 2019, the defending champion New England Patriots did not play at all in the Kickoff Game as the league instead scheduled the Green Bay Packers and the Chicago Bears for that game to celebrate its 100th season of operation. Since the NFL began the Kickoff Game, the home team has won all but six matchups (2002, 2012, 2017, 2019, 2022, and 2023)."]], "1_corpus": "wikipedia"} {"tstamp": 1722457348.5423, "task_type": "retrieval", "type": "bothbadvote", "models": ["", ""], "ip": "", "0_conv_id": "671ee2758ab14553bf35294f227a30cb", "0_model_name": "BAAI/bge-large-en-v1.5", "0_prompt": "do acts on agt get paid?", "0_output": [["do acts on agt get paid?", "Stackoverflow Stackexchange\n\nQ: Admob mediation earnings I may risk an off-topic but I don't know a better place to ask:\nWhen using the mediation in Admob, the earning from the other networks are transferred to the admob account or each network has its own account?\nIf they have their own account it may last very long to get to the amount of pay out.\nthank You.\n\nA: Yes, each network usually have their own account. And yes, it can take a very long time to get the money out. At least that's what I've read on blogs when I did my research. I think a network might not survive if word got out that they didn't pay out the earnings so... the truth might lie somewhere between. \nPersonally I like the question because I had a very hard time to find good info. And many times it's us developers who set everything up.\n"]], "0_corpus": "stackexchange", "1_conv_id": "d5e82f80e0f6487781942e5845db99e8", "1_model_name": "Salesforce/SFR-Embedding-2_R", "1_prompt": "do acts on agt get paid?", "1_output": [["do acts on agt get paid?", "Softwareengineering Stackexchange\n\nQ: Do speakers get paid for tech talks? I'm curious if speakers (bloggers, google employees like Matt Cutts) get paid for speaking at conferences. If they do, how much? If they don't, or they get paid so little that it's as though they don't, why do it? What are the attractions beyond money that lead a developer into public speaking?\n\nA: Speakers at tech conferences generally get their travel costs refunded, but nothing more.\n"]], "1_corpus": "stackexchange"} {"tstamp": 1722457366.5352, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "4f146731555946efbd431ef72f3e1a17", "0_model_name": "BM25", "0_prompt": "why are rms values used?", "0_output": [["why are rms values used?", "Physics Stackexchange\n\nQ: Why do we use Root Mean Square (RMS) values when talking about AC voltage What makes it a good idea to use RMS rather than peak values of current and voltage when we talk about or compute with AC signals.\n\nA: In many applications we are interested in the power. For example your electricity bill is based on the power you consume. For a DC source the power is:\n$$ W = VI = \\frac{V^2}{R} $$\nand for an AC source (assuming a resistive load so the voltage and current stay in phase):\n$$ W = V_{rms}I_{rms} = \\frac{V_{rms}^2}{R} $$\nSo using the RMS values makes the power easy to calculate. The RMS values are, in a sense, the equivalent to the values in a DC circuit.\n"]], "0_corpus": "stackexchange", "1_conv_id": "0762c908bbd74d2b99ae410e7fbca788", "1_model_name": "nomic-ai/nomic-embed-text-v1.5", "1_prompt": "why are rms values used?", "1_output": [["why are rms values used?", "Physics Stackexchange\n\nQ: What's the point of an RMS value? the RMS (root mean square) value of $f(x)$ is defined as:\n$$f(x)_{rms}=\\sqrt{\\frac{\\int^b_a (f(x))^2dx}{b-a}}$$\nWhy do we do this very specific thing of taking the square, the mean, and then the square root of the function? For an AC circuit, why does this tell us the power consumption and not something like the expression below?\n$$\\frac{\\int^b_a|f(x)|dx}{b-a}$$\n\nA: By definition the rms, also called the effective or heating value of AC, is the equivalent of DC with respect to resistance heating. The reason for taking the square is because both positive and negative values of current equally produce resistance heating.\nHope this helps.\n"]], "1_corpus": "stackexchange"} {"tstamp": 1722457421.7977, "task_type": "retrieval", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "d10b9667af5a4682b3e9cf7fbb320955", "0_model_name": "mixedbread-ai/mxbai-embed-large-v1", "0_prompt": "can gfci be wired in series?", "0_output": [["can gfci be wired in series?", "Electronics Stackexchange\n\nQ: Can solar panels be wired serially? I have several small solar panels. I would like to configure them in series to build up enough voltage for a project. But some panels are much smaller than others.\nIs there a problem of connecting them in series if they have very different voltage outputs?\n\nA: The voltage output of the panels is not a problem for series connection. The result is just the sum of all the voltages. After all, the different panel voltages are a result of different numbers of cells in series.\nHowever, the current ratings should match because the same current will be going thru all the panels. Another point that is very important is to put a Schottky diode in reverse accross each panel. That allows the other panels to still push current past a panel that is in the shade. Otherwise, a single panel in the shade will kill the whole output.\n"]], "0_corpus": "stackexchange", "1_conv_id": "36be4ed71c834a6789c017b4713e32a8", "1_model_name": "sentence-transformers/all-MiniLM-L6-v2", "1_prompt": "can gfci be wired in series?", "1_output": [["can gfci be wired in series?", "Stackoverflow Stackexchange\n\nQ: Windows GDI: horizontal/vertical DPI When obtaining the DPI for the screen under Windows (by using ::GetDeviceCaps) will the horizontal value always be the same as the vertical? For example:\nHDC dc = ::GetDC(NULL);\nconst int xDPI = ::GetDeviceCaps(dc, LOGPIXELSX);\nconst int yDPI - ::GetDeviceCaps(dc, LOGPIXELSY);\nassert(xDPI == yDPI);\n::ReleaseDC(NULL, dc);\n\nAre these values ever different?\n\nA: It's possible for it to be different, but that generally only applies to printers. It can be safely assumed that the screen will always have identical horizontal and vertical DPIs.\n"]], "1_corpus": "stackexchange"} {"tstamp": 1722457468.3198, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "495f0c6ef99f42e89c2e08699e8e7496", "0_model_name": "text-embedding-3-large", "0_prompt": "Study analyzing the multitask accuracy of text models including GPT-3 on academic and professional knowledge areas.", "0_output": [["Study analyzing the multitask accuracy of text models including GPT-3 on academic and professional knowledge areas.", "Title: Measuring Massive Multitask Language Understanding\n\nAbstract: We propose a new test to measure a text model's multitask accuracy. The test covers 57 tasks including elementary mathematics, US history, computer science, law, and more. To attain high accuracy on this test, models must possess extensive world knowledge and problem solving ability. We find that while most recent models have near random-chance accuracy, the very largest GPT-3 model improves over random chance by almost 20 percentage points on average. However, on every one of the 57 tasks, the best models still need substantial improvements before they can reach expert-level accuracy. Models also have lopsided performance and frequently do not know when they are wrong. Worse, they still have near-random accuracy on some socially important subjects such as morality and law. By comprehensively evaluating the breadth and depth of a model's academic and professional understanding, our test can be used to analyze models across many tasks and to identify important shortcomings."]], "0_corpus": "arxiv", "1_conv_id": "dd590f3a463043078175d6e71d96c41c", "1_model_name": "intfloat/e5-mistral-7b-instruct", "1_prompt": "Study analyzing the multitask accuracy of text models including GPT-3 on academic and professional knowledge areas.", "1_output": [["Study analyzing the multitask accuracy of text models including GPT-3 on academic and professional knowledge areas.", "Title: Measuring Massive Multitask Language Understanding\n\nAbstract: We propose a new test to measure a text model's multitask accuracy. The test covers 57 tasks including elementary mathematics, US history, computer science, law, and more. To attain high accuracy on this test, models must possess extensive world knowledge and problem solving ability. We find that while most recent models have near random-chance accuracy, the very largest GPT-3 model improves over random chance by almost 20 percentage points on average. However, on every one of the 57 tasks, the best models still need substantial improvements before they can reach expert-level accuracy. Models also have lopsided performance and frequently do not know when they are wrong. Worse, they still have near-random accuracy on some socially important subjects such as morality and law. By comprehensively evaluating the breadth and depth of a model's academic and professional understanding, our test can be used to analyze models across many tasks and to identify important shortcomings."]], "1_corpus": "arxiv"} {"tstamp": 1722460173.6967, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "e34702e631d34008a05becc58e3fde1b", "0_model_name": "Salesforce/SFR-Embedding-2_R", "0_prompt": "when was how deep is your love released", "0_output": [["when was how deep is your love released", "How Deep Is Your Love (Bee Gees song)\n\n\"How Deep Is Your Love\" is a pop ballad written and recorded by the Bee Gees in 1977 and released as a single in September of that year. It was ultimately used as part of the soundtrack to the film Saturday Night Fever. It was a number-three hit in the United Kingdom and Australia. In the United States, it topped the Billboard Hot 100 on 25 December 1977 and stayed in the Top 10 for 17 weeks. It spent six weeks atop the US adult contemporary chart. It is listed at No. 27 on Billboard All Time Top 100. Alongside \"Stayin' Alive\" and \"Night Fever\", it is one of the group's three tracks on the list. The song was covered by Take That for their 1996 Greatest Hits album, reaching No. 1 on the UK Singles Chart for three weeks.\n\"How Deep Is Your Love\" ranked number 375 on Rolling Stone list of the 500 Greatest Songs of All Time. In a British TV special shown in December 2011, it was voted The Nation's Favourite Bee Gees Song by ITV viewers. During the Bee Gees' 2001 Billboard magazine interview, Barry said that this was his favourite Bee Gees song."]], "0_corpus": "wikipedia", "1_conv_id": "e946a4618f35495b808c1ec2dbfd5b96", "1_model_name": "sentence-transformers/all-MiniLM-L6-v2", "1_prompt": "when was how deep is your love released", "1_output": [["when was how deep is your love released", "How Deep Is Your Love (Bee Gees song)\n\n\"How Deep Is Your Love\" is a pop ballad written and recorded by the Bee Gees in 1977 and released as a single in September of that year. It was ultimately used as part of the soundtrack to the film Saturday Night Fever. It was a number-three hit in the United Kingdom and Australia. In the United States, it topped the Billboard Hot 100 on 25 December 1977 and stayed in the Top 10 for 17 weeks. It spent six weeks atop the US adult contemporary chart. It is listed at No. 27 on Billboard All Time Top 100. Alongside \"Stayin' Alive\" and \"Night Fever\", it is one of the group's three tracks on the list. The song was covered by Take That for their 1996 Greatest Hits album, reaching No. 1 on the UK Singles Chart for three weeks.\n\"How Deep Is Your Love\" ranked number 375 on Rolling Stone list of the 500 Greatest Songs of All Time. In a British TV special shown in December 2011, it was voted The Nation's Favourite Bee Gees Song by ITV viewers. During the Bee Gees' 2001 Billboard magazine interview, Barry said that this was his favourite Bee Gees song."]], "1_corpus": "wikipedia"} {"tstamp": 1722461731.3688, "task_type": "retrieval", "type": "bothbadvote", "models": ["", ""], "ip": "", "0_conv_id": "b029149a921e40f6a5597b8f66c8f964", "0_model_name": "nomic-ai/nomic-embed-text-v1.5", "0_prompt": "Who is the current candidate from the democratic party?", "0_output": [["Who is the current candidate from the democratic party?", "Beto O'Rourke\n\nRobert Francis \"Beto\" O'Rourke ( , ; ; born September 26, 1972) is an American politician who served as the U.S. representative for from 2013 to 2019. A member of the Democratic Party, O'Rourke was the party's nominee for the U.S. Senate in 2018, a candidate for the presidential nomination in 2020, and the party's nominee for the 2022 Texas gubernatorial election."]], "0_corpus": "wikipedia", "1_conv_id": "f13dbec956174580a3f89781432dd403", "1_model_name": "sentence-transformers/all-MiniLM-L6-v2", "1_prompt": "Who is the current candidate from the democratic party?", "1_output": [["Who is the current candidate from the democratic party?", "2016 Democratic Party presidential candidates\n\nThis article contains lists of candidates associated with the 2016 Democratic Party presidential primaries for the 2016 United States presidential election.\nMajor candidates\nIndividuals included in this section had taken one or more of the following actions: formally announced their candidacy, or filed as a candidate with Federal Election Commission (FEC) (for other than exploratory purposes), and were included in at least five independent national polls.\nFive of the major candidates were invited to participate in at least one Democratic Party-sanctioned debate: Lincoln Chafee, Hillary Clinton, Martin O'Malley, Bernie Sanders, and Jim Webb.\nNominee\nCandidates who won one or more contests\nThe following candidate won primaries and received delegates in most or all state primaries and caucuses.\nMajor candidates who withdrew during the primaries\nThe following individual announced a major candidacy for president but withdrew at some point after the Iowa Caucuses.\nMajor candidates who withdrew before the primaries\nThe following individuals were recognized by the media as major candidates for president but withdrew from the race after the first debate. Some received write-in votes. They are listed alphabetically.\nOther candidates\nOn the ballot in multiple states\nThe following notable individuals were on the ballot in at least five states.\nIn addition, the following other candidates were on the ballot in more than one state:"]], "1_corpus": "wikipedia"} {"tstamp": 1722461753.6589, "task_type": "retrieval", "type": "bothbadvote", "models": ["", ""], "ip": "", "0_conv_id": "6212204279e84b60b1f89a82fb87e681", "0_model_name": "BAAI/bge-large-en-v1.5", "0_prompt": "Who is the current president of the democratic party?", "0_output": [["Who is the current president of the democratic party?", "2020 Democratic National Convention\n\nJoe Biden Joe Biden, the 2020 Democratic nominee for president, delivered a speech on the fourth night of the convention from Wilmington, Delaware. A common motif emphasized throughout was the conflict between light and darkness, casting himself as an element of light and Donald Trump as an element of darkness . While drawing a contrast between himself and Trump, Biden's speech did not include any utterances of his main opponent's name.\nBiden began his speech by quoting Ella Baker.\nBiden pledged to be a president for all Americans, regardless of whether or not they voted for him.\nBiden referenced the murder of George Floyd in his speech.\nMichael Bloomberg\nFormer mayor of New York City and candidate for the 2020 Democratic nomination Michael Bloomberg delivered his speech on the final night of the convention from Colorado.\nBloomberg laid contrast between incumbent Republican president Donald Trump and Biden.\nBloomberg declared, \"I'm not asking you to vote against Donald Trump because he's a bad guy. I'm urging you to vote against him because he's done a bad job.\"\nBloomberg likened the prospect reelecting Trump to rehiring or working for, \"someone who ran your business into the ground, and who always does what's best for him or her, even when it hurts the company, and whose reckless decisions put you in danger\".\nPete Buttigieg\nFormer mayor of South Bend, Indiana and candidate for the 2020 Democratic nomination Pete Buttigieg delivered his speech on the final night of the convention from LangLab in South Bend, Indiana, where he and his husband, Chasten, had held their wedding reception years earlier."]], "0_corpus": "wikipedia", "1_conv_id": "4b47da6a6a304030b72d3525e115d752", "1_model_name": "jinaai/jina-embeddings-v2-base-en", "1_prompt": "Who is the current president of the democratic party?", "1_output": [["Who is the current president of the democratic party?", "Democrat Party (Turkey, current)\n\nThe Democrat Party (), abbreviated to DP, is a liberal conservative Turkish political party, established by in 1983 as the True Path Party ( or DYP). It succeeded the historical Democrat Party and the Justice Party, two parties with similar ideologies. Their sister party is the Good Party.\nThe DYP is seen as a centre-right party. DYP's history spans back to the historical conservative Democrat Party, established in 1946 with the introduction of a multi-party system in Turkish politics. There have been four DYP governments since its foundation; one led by Süleyman Demirel, the other three by Turkey's first and only female Prime Minister, Tansu Çiller. The party now has two seats in the Grand National Assembly, elected in the lists of the Good Party during the 2018 general election.\nOn 5 May 2007, it was announced that DYP and the Motherland Party (ANAP) would merge to form the Democrat Party (Demokrat Parti). For that occasion, DYP renamed itself (based on the historical Democrat Party), and it was planned that ANAP would join the newly founded DP. Shortly before the election, however, the merging attempt failed. However, ANAP stated it would not contest the upcoming elections. After the DP only got about 6% of the votes in the 2007 general election, Ağar resigned as party leader. DYP and the Motherland Party eventually merged in November 2009."]], "1_corpus": "wikipedia"} {"tstamp": 1722461776.9268, "task_type": "retrieval", "type": "bothbadvote", "models": ["", ""], "ip": "", "0_conv_id": "516015f3a984462e846c554f5306247f", "0_model_name": "text-embedding-004", "0_prompt": "HNSW", "0_output": [["HNSW", "High-speed rail in Australia\n\nIn September 2022, the then-recently elected Albanese government introduced legislation to establish a new national High Speed Rail Authority (HSRA), fulfilling a promise made during the 2022 election. The Infrastructure Minister Catherine King said the Authority would have an expert board and be tasked with overseeing \"the construction and operation of a high-speed rail network along Australia's eastern seaboard\" between Melbourne, Canberra, Sydney and Brisbane. The authority would consult with state governments, give advice to the federal government, and develop standards to ensure an interoperable high-speed rail network across jurisdictions. King announced the Authority would advance the government's first priority of providing higher-speed rail between Newcastle and Sydney, to which the government committed $500 million to commence early works and secure corridors. The Bill would abolish the National Faster Rail Agency and absorb its functions into the new authority. The Bill was passed by both houses on 24 November 2022, and gained assent on 12 December 2022.\nThe authority commenced operations on 13 June 2023, and the permanent CEO Tim Parker was appointed on 11 January 2024.\nSydney to Newcastle section\nBusiness case\nOn 30 January 2024, it was announced that $78.8 million of funding would be released for the development of a business case for the Sydney to Newcastle section of the high-speed rail network. The tenders for the business case were released in March 2024 and were split into eight packages. The eight successful tenderers were announced on 13 June 2024.\nFastrack Australia proposal (2023)\nIn January 2023, advocacy group Fastrack Australia published a plan that proposed gradually upgrading the Sydney-Melbourne corridor, instead of building a completely new line from scratch. The proposed upgrades were split into five stages, with the following estimated travel times:\nThe first two stages would consist of the following upgrades:\nStage 1: straightening out track on the Wentworth Deviation between Glenfield and Mittagong, and\nStage 2: track between Goulburn and Yass, and a new track branching from Gunning down to a new station near Canberra airport."]], "0_corpus": "wikipedia", "1_conv_id": "eea28390cf3a42a6a95d11e6e2dedb23", "1_model_name": "Salesforce/SFR-Embedding-2_R", "1_prompt": "HNSW", "1_output": [["HNSW", "Australian rules football in New South Wales\n\nIn New South Wales, Australian rules football dates back to the colonial era in 1866, with organised competitions being continuous since the 1880s. Today, it is popular in several regions of the state, including areas near the Victorian and South Australian borders—in the Riverina, Broken Hill, and South Coast. These areas form part of an Australian cultural divide described as the Barassi Line. To the east of the line, it is known as \"AFL\", named after the elite Australian Football League competition. AFL NSW/ACT is the main development body.\nTwo teams currently compete in the professional Australian Football League (AFL) both based in the state capital Sydney: the Sydney Swans and the Greater Western Sydney Giants. The Swans in 1982 became the first professional Australian sporting team to move interstate. The Giants debuted in the 2012 AFL season and compete against the Swans in the Sydney Derby (also known as \"The Battle of the Bridge\")."]], "1_corpus": "wikipedia"} {"tstamp": 1722461803.753, "task_type": "retrieval", "type": "bothbadvote", "models": ["", ""], "ip": "", "0_conv_id": "89c2f7db4b47490cbf81a1f8e1977d19", "0_model_name": "nomic-ai/nomic-embed-text-v1.5", "0_prompt": "latest iphone", "0_output": [["latest iphone", "IPhone\n\nThe iPhone 11, 11 Pro, and 11 Pro Max were announced on September 10, 2019. The iPhone 11 was the successor to the iPhone XR, while the iPhone 11 Pro and 11 Pro Max succeeded the iPhone XS and XS Max. All models gained an ultra-wide lens, enabling two-times optical zoom out, as well as larger batteries for longer battery life. The second-generation iPhone SE was introduced on April 17, 2020, and was a low-cost device that incorporated newer hardware from the iPhone 11, in the frame of the older iPhone 8, while retaining the home button and the Touch ID sensor.\nThe iPhone 12, 12 Mini, 12 Pro, and 12 Pro Max were announced via a livestream event on October 13, 2020. All models featured OLED \"Super Retina XDR\" displays, introduced faster 5G connectivity, and the MagSafe magnetic charging and accessory system; a slimmer flat-edged design was also introduced, which combined with stronger glass-ceramic front glass, added better drop protection compared to previous iPhones. The iPhone 12 Mini introduced a smaller 5.4-inch screen, while the 12 Pro and 12 Pro Max had larger screens of 6.1-inch and 6.7-inch respectively. The iPhone 12 Pro and 12 Pro Max additionally added a Lidar sensor for better accuracy in augumented reality (AR) applications."]], "0_corpus": "wikipedia", "1_conv_id": "6f48ead588774ab180b3c66a9c701c60", "1_model_name": "BM25", "1_prompt": "latest iphone", "1_output": [["latest iphone", "IPhone XS\n\nThe iPhone XS and iPhone XS Max (Roman numeral \"X\" pronounced as \"ten\") are smartphones designed, developed and marketed by Apple Inc. They are the twelfth-generation flagships of the iPhone, succeeding the iPhone X. Apple CEO Tim Cook announced the devices alongside a lower-end model, the iPhone XR, on September 12, 2018, at the Steve Jobs Theater at Apple Park. Pre-orders began on September 14, 2018, and the devices went on sale on September 21. As of June 2024, the iPhone XS is the oldest iPhone model officially capable of running iOS 18, the latest version of iOS.\nImprovements include faster computing speeds, dual-SIM support, filming with stereo audio, and better water resistance.\nThe XS Max was the first plus-sized iPhone to have the reduced bezel form factor, as the iPhone X did not have a larger variant."]], "1_corpus": "wikipedia"} {"tstamp": 1722461853.9056, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "12d6bb456d2b45519f7d5203d0e3f28a", "0_model_name": "voyage-multilingual-2", "0_prompt": "latest iphone", "0_output": [["latest iphone", "List of iPhone models\n\nThe iPhone, developed by Apple Inc., is a line of smartphones that combine a mobile phone, digital camera, and personal computer, music player into one device. Introduced by then-CEO Steve Jobs on January 9, 2007, the iPhone revolutionized the mobile phone industry with its multi-touch interface and lack of physical keyboard. Over the years, Apple has released numerous models, each iteration bringing advancements in hardware, software, and design.\nThe iPhone series has expanded to include various models catering to different user needs and preferences, from entry-level options to high end devices. Key innovations across the generations have included improvements in processing power, camera capabilities, display technology, and battery life, as well as the introduction of new features such as Face ID, Touch ID, advanced augmented reality (AR), and 5G connectivity.\nAs of 2024, the most recent iPhone models are the iPhone 15, iPhone 15 Plus, iPhone 15 Pro, and iPhone 15 Pro Max, released in September 22, 2023.\nComparison of models\nRelease dates\nSupported\nUnsupported (64-bit CPU, 2013 to 2017 models)\nUnsupported (32-bit CPU)\niPhone systems-on-chips"]], "0_corpus": "wikipedia", "1_conv_id": "3f3ca2fb01fe48b6a1b787d5422735cd", "1_model_name": "mixedbread-ai/mxbai-embed-large-v1", "1_prompt": "latest iphone", "1_output": [["latest iphone", "IPhone\n\nThe iPhone 13, 13 Mini, 13 Pro, and 13 Pro Max were announced via a livestream event on September 14, 2021. All models featured larger camera sensors, larger batteries for longer battery life, and a narrower \"notch\" screen cutout. The iPhone 13 Pro and 13 Pro Max additionally introduced smoother adaptive 120 Hz refresh rate \"ProMotion\" technology in its OLED display, and three-times optical zoom in the telephoto lens. The low-cost third-generation iPhone SE was introduced on March 8, 2022, and incorporated the A15 Bionic chip from the iPhone 13, but otherwise retained similar hardware to the second-generation iPhone SE.\nThe iPhone 14, 14 Plus, 14 Pro, and 14 Pro Max were announced on September 7, 2022. All models introduced satellite phone emergency calling functionality. The iPhone 14 Plus introduced the large 6.7-inch screen size, first seen on the iPhone 12 Pro Max, into a lower-cost device. The iPhone 14 Pro and 14 Pro Max additionally introduced a higher-resolution 48-megapixel main camera, the first increase in megapixel count since the iPhone 6s; it also introduced always-on display technology to the lock screen, and an interactive status bar interface integrated in a redesigned screen cutout, entitled \"Dynamic Island\".\nThe iPhone 15, 15 Plus, 15 Pro, and 15 Pro Max were announced on September 12, 2023. Starting with this group of devices, all models switch to using USB-C as their power connector to comply with European Commission regulations, replacing Apple's proprietary Lightning connector after eleven years of use in previous models. All models feature the Dynamic Island, which debuted with the iPhone 14 Pro (effectively retiring the \"notch\" display cutout), slightly curved edges, and a frosted glass back. The iPhone 15 Pro and 15 Pro Max also replace the mute switch and stainless-steel edges with the \"Action\" button and titanium, respectively."]], "1_corpus": "wikipedia"} {"tstamp": 1722461877.4676, "task_type": "retrieval", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "39e8dd498b1e48bba353763e3de69297", "0_model_name": "mixedbread-ai/mxbai-embed-large-v1", "0_prompt": "latest iphone", "0_output": [["latest iphone", "IPhone\n\nThe iPhone 13, 13 Mini, 13 Pro, and 13 Pro Max were announced via a livestream event on September 14, 2021. All models featured larger camera sensors, larger batteries for longer battery life, and a narrower \"notch\" screen cutout. The iPhone 13 Pro and 13 Pro Max additionally introduced smoother adaptive 120 Hz refresh rate \"ProMotion\" technology in its OLED display, and three-times optical zoom in the telephoto lens. The low-cost third-generation iPhone SE was introduced on March 8, 2022, and incorporated the A15 Bionic chip from the iPhone 13, but otherwise retained similar hardware to the second-generation iPhone SE.\nThe iPhone 14, 14 Plus, 14 Pro, and 14 Pro Max were announced on September 7, 2022. All models introduced satellite phone emergency calling functionality. The iPhone 14 Plus introduced the large 6.7-inch screen size, first seen on the iPhone 12 Pro Max, into a lower-cost device. The iPhone 14 Pro and 14 Pro Max additionally introduced a higher-resolution 48-megapixel main camera, the first increase in megapixel count since the iPhone 6s; it also introduced always-on display technology to the lock screen, and an interactive status bar interface integrated in a redesigned screen cutout, entitled \"Dynamic Island\".\nThe iPhone 15, 15 Plus, 15 Pro, and 15 Pro Max were announced on September 12, 2023. Starting with this group of devices, all models switch to using USB-C as their power connector to comply with European Commission regulations, replacing Apple's proprietary Lightning connector after eleven years of use in previous models. All models feature the Dynamic Island, which debuted with the iPhone 14 Pro (effectively retiring the \"notch\" display cutout), slightly curved edges, and a frosted glass back. The iPhone 15 Pro and 15 Pro Max also replace the mute switch and stainless-steel edges with the \"Action\" button and titanium, respectively."]], "0_corpus": "wikipedia", "1_conv_id": "c1371743fa21402d85ae28fbbbadd50f", "1_model_name": "Salesforce/SFR-Embedding-2_R", "1_prompt": "latest iphone", "1_output": [["latest iphone", "IPhone\n\nThe iPhone is a line of smartphones produced by Apple that use Apple's own iOS mobile operating system. The first-generation iPhone was announced by then–Apple CEO Steve Jobs on January 9, 2007. Since then, Apple has annually released new iPhone models and iOS updates. As of November 1, 2018, more than 2.2 billion iPhones had been sold.\nThe iPhone was the first mobile phone to use multi-touch technology. Since the iPhone's launch, it has gained larger screen sizes, video-recording, waterproofing, and many accessibility features. Up to the iPhone 8 and 8 Plus, iPhones had a single button on the front panel, with the iPhone 5s and later integrating a Touch ID fingerprint sensor. Since the iPhone X, iPhone models have switched to a nearly bezel-less front screen design with Face ID facial recognition, and app switching activated by gestures. Touch ID is still used for the budget iPhone SE series.\nThe iPhone is one of the two largest smartphone platforms in the world alongside Android, and is a large part of the luxury market. The iPhone has generated large profits for Apple, making it one of the world's most valuable publicly traded companies. The first-generation iPhone was described as a \"revolution\" for the mobile phone industry and subsequent models have also garnered praise. The iPhone has been credited with popularizing the smartphone and slate form factor, and with creating a large market for smartphone apps, or \"app economy\". , Apple's App Store contained more than 2.2 million applications for the iPhone."]], "1_corpus": "wikipedia"} {"tstamp": 1722461903.2175, "task_type": "retrieval", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "00f5384c754945829b862691e1cf81e1", "0_model_name": "sentence-transformers/all-MiniLM-L6-v2", "0_prompt": "latest iphone", "0_output": [["latest iphone", "IPhone\n\nThe iPhone is a line of smartphones produced by Apple that use Apple's own iOS mobile operating system. The first-generation iPhone was announced by then–Apple CEO Steve Jobs on January 9, 2007. Since then, Apple has annually released new iPhone models and iOS updates. As of November 1, 2018, more than 2.2 billion iPhones had been sold.\nThe iPhone was the first mobile phone to use multi-touch technology. Since the iPhone's launch, it has gained larger screen sizes, video-recording, waterproofing, and many accessibility features. Up to the iPhone 8 and 8 Plus, iPhones had a single button on the front panel, with the iPhone 5s and later integrating a Touch ID fingerprint sensor. Since the iPhone X, iPhone models have switched to a nearly bezel-less front screen design with Face ID facial recognition, and app switching activated by gestures. Touch ID is still used for the budget iPhone SE series.\nThe iPhone is one of the two largest smartphone platforms in the world alongside Android, and is a large part of the luxury market. The iPhone has generated large profits for Apple, making it one of the world's most valuable publicly traded companies. The first-generation iPhone was described as a \"revolution\" for the mobile phone industry and subsequent models have also garnered praise. The iPhone has been credited with popularizing the smartphone and slate form factor, and with creating a large market for smartphone apps, or \"app economy\". , Apple's App Store contained more than 2.2 million applications for the iPhone."]], "0_corpus": "wikipedia", "1_conv_id": "d3d1d95f93164c448bc71bc9d0136e8a", "1_model_name": "intfloat/multilingual-e5-large-instruct", "1_prompt": "latest iphone", "1_output": [["latest iphone", "List of iPhone models\n\nThe iPhone, developed by Apple Inc., is a line of smartphones that combine a mobile phone, digital camera, and personal computer, music player into one device. Introduced by then-CEO Steve Jobs on January 9, 2007, the iPhone revolutionized the mobile phone industry with its multi-touch interface and lack of physical keyboard. Over the years, Apple has released numerous models, each iteration bringing advancements in hardware, software, and design.\nThe iPhone series has expanded to include various models catering to different user needs and preferences, from entry-level options to high end devices. Key innovations across the generations have included improvements in processing power, camera capabilities, display technology, and battery life, as well as the introduction of new features such as Face ID, Touch ID, advanced augmented reality (AR), and 5G connectivity.\nAs of 2024, the most recent iPhone models are the iPhone 15, iPhone 15 Plus, iPhone 15 Pro, and iPhone 15 Pro Max, released in September 22, 2023.\nComparison of models\nRelease dates\nSupported\nUnsupported (64-bit CPU, 2013 to 2017 models)\nUnsupported (32-bit CPU)\niPhone systems-on-chips"]], "1_corpus": "wikipedia"} {"tstamp": 1722461956.2664, "task_type": "retrieval", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "6a90aa7603714a679ca93c2709222124", "0_model_name": "text-embedding-3-large", "0_prompt": "OpenAI drama", "0_output": [["OpenAI drama", "OpenAI\n\nContract with Sama In January 2023, OpenAI has been criticized for outsourcing the annotation of data sets to Sama, a company based in San Francisco but employing workers in Kenya. These annotations were used to train an AI model to detect toxicity, which could then be used to filter out toxic content, notably from ChatGPT's training data and outputs. However, these pieces of text usually contained detailed descriptions of various types of violence, including sexual violence. The four Sama employees interviewed by Time described themselves as mentally scarred. OpenAI paid Sama $12.50 per hour of work, and Sama was redistributing the equivalent of between $1.32 and $2.00 per hour post-tax to its annotators. Sama's spokesperson said that the $12.50 was also covering other implicit costs, among which were infrastructure expenses, quality assurance and management.\nLack of transparency\nIn March 2023, the company was also criticized for disclosing particularly few technical details about products like GPT-4, contradicting its initial commitment to openness and making it harder for independent researchers to replicate its work and develop safeguards. OpenAI cited competitiveness and safety concerns to justify this strategic turn. OpenAI's former chief scientist Ilya Sutskever argued in 2023 that open-sourcing increasingly capable models was increasingly risky, and that the safety reasons for not open-sourcing the most potent AI models would become \"obvious\" in a few years.\nNon-disparagement agreement\nOn May 17, 2024, a Vox article reported that OpenAI was asking departing employees to sign a lifelong non-disparagement agreement forbidding them from criticizing OpenAI or acknowledging the existence of the agreement. Daniel Kokotajlo, a former employee, publicly stated that he forfeited his vested equity in OpenAI in order to leave without signing the agreement. Sam Altman stated that he was unaware of the equity cancellation provision, and that OpenAI never enforced it to cancel any employee's vested equity. Vox published leaked documents and emails challenging this claim. On May 23, 2024, OpenAI sent a memo releasing former employees from the agreement."]], "0_corpus": "wikipedia", "1_conv_id": "c74b747ac1a64b55b50f6864c1994bc9", "1_model_name": "intfloat/e5-mistral-7b-instruct", "1_prompt": "OpenAI drama", "1_output": [["OpenAI drama", "OpenAI\n\nOpenAI is an American artificial intelligence (AI) research organization founded in December 2015 and headquartered in San Francisco. Its mission is to ensure that artificial general intelligence (AGI) benefits all of humanity, with AGI defined as \"highly autonomous systems that outperform humans at most economically valuable work\". As a leading organization in the ongoing AI boom, OpenAI is known for the GPT family of large language models, the DALL-E series of text-to-image models, and a text-to-video model named Sora. Its release of ChatGPT in November 2022 has been credited with catalyzing widespread interest in generative AI.\nThe organization consists of the non-profit OpenAI, Inc. registered in Delaware and its for-profit subsidiary OpenAI Global, LLC. Microsoft owns roughly 49% of OpenAI's equity, having invested US$13 billion. It also provides computing resources to OpenAI through its Microsoft Azure cloud platform.\nIn 2023 and 2024, OpenAI faced multiple lawsuits for alleged copyright infringement against authors and media companies whose work was used to train some of OpenAI's products. In November 2023, OpenAI's board removed Sam Altman as CEO citing a lack of confidence in him, and then reinstated him five days later after negotiations resulting in a reconstructed board. OpenAI's board has since added former US Treasury Secretary Lawrence Summers and former National Security Agency head Paul Nakasone.\nHistory"]], "1_corpus": "wikipedia"} {"tstamp": 1722462197.2257, "task_type": "retrieval", "type": "bothbadvote", "models": ["", ""], "ip": "", "0_conv_id": "bb664e69916e47868ea16c955d9e1826", "0_model_name": "mixedbread-ai/mxbai-embed-large-v1", "0_prompt": "what information is displayed in clear text from the ftp header", "0_output": [["what information is displayed in clear text from the ftp header", "Email\n\nInternet email messages consist of two sections, \"header\" and \"body\". These are known as \"content\". The header is structured into fields such as From, To, CC, Subject, Date, and other information about the email. In the process of transporting email messages between systems, SMTP communicates delivery parameters and information using message header fields. The body contains the message, as unstructured text, sometimes containing a signature block at the end. The header is separated from the body by a blank line.\nMessage header\nRFC 5322 specifies the syntax of the email header. Each email message has a header (the \"header section\" of the message, according to the specification), comprising a number of fields (\"header fields\"). Each field has a name (\"field name\" or \"header field name\"), followed by the separator character \":\", and a value (\"field body\" or \"header field body\").\nEach field name begins in the first character of a new line in the header section, and begins with a non-whitespace printable character. It ends with the separator character \":\". The separator is followed by the field value (the \"field body\"). The value can continue onto subsequent lines if those lines have space or tab as their first character. Field names and, without SMTPUTF8, field bodies are restricted to 7-bit ASCII characters. Some non-ASCII values may be represented using MIME encoded words."]], "0_corpus": "wikipedia", "1_conv_id": "25d7b18e8e864fdabb2db92fb2f1a2aa", "1_model_name": "BM25", "1_prompt": "what information is displayed in clear text from the ftp header", "1_output": [["what information is displayed in clear text from the ftp header", "File format\n\nFile header The metadata contained in a file header are usually stored at the start of the file, but might be present in other areas too, often including the end, depending on the file format or the type of data contained. Character-based (text) files usually have character-based headers, whereas binary formats usually have binary headers, although this is not a rule. Text-based file headers usually take up more space, but being human-readable, they can easily be examined by using simple software such as a text editor or a hexadecimal editor.\nAs well as identifying the file format, file headers may contain metadata about the file and its contents. For example, most image files store information about image format, size, resolution and color space, and optionally authoring information such as who made the image, when and where it was made, what camera model and photographic settings were used (Exif), and so on. Such metadata may be used by software reading or interpreting the file during the loading process and afterwards.\nFile headers may be used by an operating system to quickly gather information about a file without loading it all into memory, but doing so uses more of a computer's resources than reading directly from the directory information. For instance, when a graphic file manager has to display the contents of a folder, it must read the headers of many files before it can display the appropriate icons, but these will be located in different places on the storage medium thus taking longer to access. A folder containing many files with complex metadata such as thumbnail information may require considerable time before it can be displayed."]], "1_corpus": "wikipedia"} {"tstamp": 1722462215.963, "task_type": "retrieval", "type": "bothbadvote", "models": ["", ""], "ip": "", "0_conv_id": "fb8132bf871d4f98a6691a483b589c57", "0_model_name": "sentence-transformers/all-MiniLM-L6-v2", "0_prompt": "is 7 gears enough on a bike?", "0_output": [["is 7 gears enough on a bike?", "English Stackexchange\n\nQ: It's a nice vista! I overheard someone use the term \"vista\" while describing a view. Being a non-native speaker, I would have chosen the simpler form: \"It's a nice view.\" Could some generous soul explain when it's a vista and when it's a view? Are these interchangeable in most circumstances?\n\nA: Vista is Italian for view. (Also Spanish, but adopted from Italian: see etymonline.)\nIt has been adopted into the English language and retains the same (noun) meaning, except that it is generally only applied to picturesque views.\nFor example:\n\nHey, lets pull over and take in the vista.\n\nor \n\nYou should come out onto the balcony, there is a beautiful vista of the city below.\n\nAccording to Google NGram, usage in this fashion didn't really take off until after 1900\n\nhowever the phrase \"beautiful vista\" seems to have been around for a long while\n\n"]], "0_corpus": "stackexchange", "1_conv_id": "65a4a182be72478193840156181d1e72", "1_model_name": "BM25", "1_prompt": "is 7 gears enough on a bike?", "1_output": [["is 7 gears enough on a bike?", "Stackoverflow Stackexchange\n\nQ: abstraction in java program Why is the output like below?\n\nbike is created\nrunning safely..\ngear changed\n\nbecause we are not calling Bike() method anywhere.\nabstract class Bike {\n Bike() {\n System.out.println(\"bike is created\");\n }\n\n abstract void run();\n\n void changeGear() {\n System.out.println(\"gear changed\");\n }\n}\n\n//Creating a Child class which inherits Abstract class \nclass Honda extends Bike {\n void run() {\n System.out.println(\"running safely..\");\n }\n}\n\n//Creating a Test class which calls abstract and non-abstract methods \nclass TestAbstraction2 {\n public static void main(String args[]) {\n Bike obj = new Honda();\n obj.run();\n obj.changeGear();\n }\n}\n\n\nA: Honda class is created with Default Constructor\n\nIf a class contains no constructor declarations, then a default constructor with no formal parameters and no throws clause is implicitly declared.\n public class Point {\n int x, y;\n }\n\nis equivalent to the declaration:\npublic class Point {\n int x, y;\n public Point() { super(); }\n }\n\n\nSo Bike() is called every call to new Honda();\n"]], "1_corpus": "stackexchange"} {"tstamp": 1722462250.7774, "task_type": "retrieval", "type": "bothbadvote", "models": ["", ""], "ip": "", "0_conv_id": "a0bd5c60cf0848c39765d6a71a21d903", "0_model_name": "jinaai/jina-embeddings-v2-base-en", "0_prompt": "is ue id the same as redress number?", "0_output": [["is ue id the same as redress number?", "Stackoverflow Stackexchange\n\nQ: TypeError: object of type 'numpy.int64' has no len() / TypeError: object of type 'int' has no len()/ while using classification_report in scikitlearn Sometimes when using sklearn.metrics.classification_report we get below error\nTypeError: object of type 'int' has no len()\n\nSometime depending on the datatype we get error like below too\nTypeError: object of type 'numpy.int64' has no len()\n\nSample code when we might get this error\nt=pd.Series([1,2,3,4])\np=np.asarray([1,2,3,4])\ntarget_names=[1,2,3,4]\nprint(classification_report(t, p, target_names=target_names))\n\n\nA: This happens when target_names used are not string; to solve did a conversion like below on the target_names variable\nt=pd.Series([1,2,3,4])\np=np.asarray([1,2,3,4])\ntarget_names=[1,2,3,4]\ntarget_names=list(map(str,target_names))\nprint(classification_report(t, p, target_names=target_names))\n\n"]], "0_corpus": "stackexchange", "1_conv_id": "15a2bc7894a04920af8addcd803f8810", "1_model_name": "mixedbread-ai/mxbai-embed-large-v1", "1_prompt": "is ue id the same as redress number?", "1_output": [["is ue id the same as redress number?", "Stackoverflow Stackexchange\n\nQ: How to compute the subject identifier when the redirect URI does not have any host In the OpenID Connect specification section 8.1, we can read:\n\nIf the Client has not provided a value for sector_identifier_uri in Dynamic Client Registration [OpenID.Registration], the Sector Identifier used for pairwise identifier calculation is the host component of the registered redirect_uri.\n\nIf the redirect URI is https://foo.bar/my/path, the host foo.bar host will be part of the pairwise ID calculation.\nThe problem is when a private scheme is used for a native app (see RFC8252 section 7.1 e.g. com.example.app:/oauth2redirect/example-provider) or when the redirect URI is an URN (e.g. urn:ietf:wg:oauth:2.0:oob).\nAs there is no host with those examples,\n\n*\n\n*how can I compute the pairwise ID?\n\n*should I reject the client configuration and contraint it to register a sector identifier uri?\n\n"]], "1_corpus": "stackexchange"} {"tstamp": 1722462269.2059, "task_type": "retrieval", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "0c3d1d20c99046fc9c6d392b8e43122a", "0_model_name": "BAAI/bge-large-en-v1.5", "0_prompt": "do you need a passport to travel between england and france?", "0_output": [["do you need a passport to travel between england and france?", "Stackoverflow Stackexchange\n\nQ: How to pass the configured passport object into the routes modules in Express4? Since from Express 4 you're not supposed to do\nrequire('./app/routes.js')(app, passport); // load our routes and pass in our app and fully configured passport\n\nmodule.exports = function(app, passport) {\n // =====================================\n // FACEBOOK ROUTES =====================\n // =====================================\n // route for facebook authentication and login\n\n app.get('/auth/facebook', passport.authenticate('facebook', { scope : 'email' }));\n\n // handle the callback after facebook has authenticated the user\n app.get('/auth/facebook/callback',\n passport.authenticate('facebook', {\n successRedirect : '/profile',\n failureRedirect : '/'\n }));\n\n // route for logging out\n app.get('/logout', function(req, res) {\n req.logout();\n res.redirect('/');\n });\n};\n\nInstead, you're supposed to be using express.Route() function and \nvar routes = require('./app/routes.js');\napp.use('/', routes);\n\nHow to pass the configured passport into the routes modules in Express 4?\n\nA: The function export can still be used to pass the passport reference between modules. It would just create and return a Router rather than modifying the app directly.\nvar express = require('express');\n\nmodule.exports = function(passport) {\n var router = express.Router();\n\n router.get('/auth/facebook', passport.authenticate('facebook', { scope : 'email' }));\n\n // etc.\n\n return router;\n};\n\nAnd, the app can then use it with:\nvar routes = require('./app/routes.js')(passport);\napp.use('/', routes);\n\n"]], "0_corpus": "stackexchange", "1_conv_id": "43884eb46d584627a9eb7704000c59c6", "1_model_name": "voyage-multilingual-2", "1_prompt": "do you need a passport to travel between england and france?", "1_output": [["do you need a passport to travel between england and france?", "Serverfault Stackexchange\n\nQ: Will I lose my .fr second-level domain once I am no longer a resident of Europe? Hopefully this question is appropriate here.\nThe .fr TLD stands for France and is managed by AFNIC. In order to register for second-level domains under this TLD, one is required to be a resident of the European Econonic Area. \nI am currently a resident of the European Economic Area, but I might move away one day. Does this mean that I might lose my domain in this case? Will I not be able to prolong it any more?\n\nA: Although I wouldn't be surprised if in practice the registration requirements are only checked on registration and not for renewals, you don't have to lose your domain when you leave Europe.\nA number of registrars provide trustee services that allow the registration of a .FR domain to people/organisations that don't qualify directly and your domain can be transferred to such a trustee if required.\n"]], "1_corpus": "stackexchange"} {"tstamp": 1722462376.5487, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "deb0da4cc6734480877a7c7bb256f231", "0_model_name": "GritLM/GritLM-7B", "0_prompt": "is the few plural or singular?", "0_output": [["is the few plural or singular?", "Ell Stackexchange\n\nQ: How should I write \"(the) number of unique items { is / are } few\"? Which sentence is correct and why?\n\nIf the number of unique items is few\nIf number of unique items are few\n\nNote:\n\n*\n\n*Should I use the?\n\n\n*Should I use number or numbers?\n\n\n*should I use is or are?\n\nA: *\n\n*Should I use the?\n\n\nYes, you should use the article in front of number.\n\n\n*\n\n*Should I use number or numbers?\n\n\nIf it is one set of items you are talking about, it is one number of items, so you use the singular.\n\n\n*\n\n*should I use is or are?\n\n\nNumber is singular, so you use the verb in the singular. \nHowever, there is another point: the use of few. Few means that there is a small number of items, but the number is not few, its is small.\nSo you could say the following:\n\nIf there are (only) a few unique items...\n\nor\n\nIf the number of unique items is small...\n\nMixing them up is comparable to \"that item costs expensive\", which is a mix of \"it is expensive\" and \"it costs a lot\".\n"]], "0_corpus": "stackexchange", "1_conv_id": "3f81efa69df4434298680c7320162ac5", "1_model_name": "Salesforce/SFR-Embedding-2_R", "1_prompt": "is the few plural or singular?", "1_output": [["is the few plural or singular?", "Ell Stackexchange\n\nQ: How should I write \"(the) number of unique items { is / are } few\"? Which sentence is correct and why?\n\nIf the number of unique items is few\nIf number of unique items are few\n\nNote:\n\n*\n\n*Should I use the?\n\n\n*Should I use number or numbers?\n\n\n*should I use is or are?\n\nA: *\n\n*Should I use the?\n\n\nYes, you should use the article in front of number.\n\n\n*\n\n*Should I use number or numbers?\n\n\nIf it is one set of items you are talking about, it is one number of items, so you use the singular.\n\n\n*\n\n*should I use is or are?\n\n\nNumber is singular, so you use the verb in the singular. \nHowever, there is another point: the use of few. Few means that there is a small number of items, but the number is not few, its is small.\nSo you could say the following:\n\nIf there are (only) a few unique items...\n\nor\n\nIf the number of unique items is small...\n\nMixing them up is comparable to \"that item costs expensive\", which is a mix of \"it is expensive\" and \"it costs a lot\".\n"]], "1_corpus": "stackexchange"} {"tstamp": 1722462391.4105, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "d8a6d15315fd479b9d095c4d02f5ac48", "0_model_name": "BM25", "0_prompt": "auditing is the process of verifying the accuracy of the financial statements", "0_output": [["auditing is the process of verifying the accuracy of the financial statements", "Financial audit\n\nGive the directors and auditor's independence declaration and meet independence requirements\nReport certain suspected contraventions to ASIC\nCommercial relationships versus objectivity\nOne of the major issues faced by private auditing firms is the need to provide independent auditing services while maintaining a business relationship with the audited company.\nThe auditing firm's responsibility to check and confirm the reliability of financial statements may be limited by pressure from the audited company, who pays the auditing firm for the service. The auditing firm's need to maintain a viable business through auditing revenue may be weighed against its duty to examine and verify the accuracy, relevancy, and completeness of the company's financial statements. This is done by auditor.\nNumerous proposals are made to revise the current system to provide better economic incentives to auditors to perform the auditing function without having their commercial interests compromised by client relationships. Examples are more direct incentive compensation awards and financial statement insurance approaches. See, respectively, Incentive Systems to Promote Capital Market Gatekeeper Effectiveness and Financial Statement Insurance.\nRelated qualifications\nThere are several related professional qualifications in the field of financial audit including Certified Internal Auditor, Certified General Accountant, Chartered Certified Accountant, Chartered Accountant and Certified Public Accountant."]], "0_corpus": "wikipedia", "1_conv_id": "d30547bd7bee427f98cf7d1efce3623a", "1_model_name": "GritLM/GritLM-7B", "1_prompt": "auditing is the process of verifying the accuracy of the financial statements", "1_output": [["auditing is the process of verifying the accuracy of the financial statements", "Financial audit\n\nA financial audit is conducted to provide an opinion whether \"financial statements\" (the information is verified to the extent of reasonable assurance granted) are stated in accordance with specified criteria. Normally, the criteria are international accounting standards, although auditors may conduct audits of financial statements prepared using the cash basis or some other basis of accounting appropriate for the organization. In providing an opinion whether financial statements are fairly stated in accordance with accounting standards, the auditor gathers evidence to determine whether the statements contain material errors or other misstatements.\nOverview\nThe audit opinion is intended to provide reasonable assurance, but not absolute assurance, that the financial statements are presented fairly, in all material respects, and/or give a true and fair view in accordance with the financial reporting framework. The purpose of an audit is to provide an objective independent examination of the financial statements, which increases the value and credibility of the financial statements produced by management, thus increase user confidence in the financial statement, reduce investor risk and consequently reduce the cost of capital of the preparer of the financial statements.\nIn accordance with the US Generally Accepted Accounting Principles (US GAAP), auditors must release an opinion of the overall financial statements in the auditor's report. Auditors can release three types of statements other than an unqualified/unmodified opinion:\nThe unqualified auditor's opinion is the opinion that the financial statements are presented fairly.\nA qualified opinion is that the financial statements are presented fairly in all material respects in accordance with US GAAP, except for a material misstatement that does not however pervasively affect the user's ability to rely on the financial statements."]], "1_corpus": "wikipedia"} {"tstamp": 1722462434.1378, "task_type": "retrieval", "type": "bothbadvote", "models": ["", ""], "ip": "", "0_conv_id": "d4886ba21a8949179aae24c998bee7ac", "0_model_name": "Salesforce/SFR-Embedding-2_R", "0_prompt": "what does the olive branch represent in the olympics", "0_output": [["what does the olive branch represent in the olympics", "Olive branch\n\nThe olive branch, a ramus of Olea europaea, is a symbol of peace. It is generally associated with the customs of ancient Greece and ancient Rome, and is connected with supplication to divine beings and persons in power. Likewise, it is found in most cultures of the Mediterranean Basin and thence expanded to become a near-universal recognized peace symbol in the modern world.\nIn the Greco-Roman world\nIn Greek tradition, a hiketeria (ἱκετηρία) was an olive branch held by supplicants to show their status as such when approaching persons of power or in temples when supplicating the gods.\nIn Greek mythology, Athena competed with Poseidon for possession of Athens. Poseidon claimed possession by thrusting his trident into the Acropolis, where a well of sea-water gushed out. Athena took possession by planting the first olive tree beside the well. The court of gods and goddesses ruled that Athena had the better right to the land because she had given it the better gift. Olive wreaths were worn by brides and awarded to olympic victors.\nThe olive branch was one of the attributes of Eirene on Roman Imperial coins. For example, the reverse of a tetradrachm of Vespasian from Alexandria, 70-71 AD, shows Eirene standing holding a branch upward in her right hand.\nThe Roman poet Virgil (70–19 BC) associated \"the plump olive\" with the goddess Pax (the Roman Eirene) and he used the olive branch as a symbol of peace in his Aeneid:"]], "0_corpus": "wikipedia", "1_conv_id": "270d980800ad4a578d4cd31341fc6d41", "1_model_name": "jinaai/jina-embeddings-v2-base-en", "1_prompt": "what does the olive branch represent in the olympics", "1_output": [["what does the olive branch represent in the olympics", "Olympic symbols\n\nOlympic salute The Olympic salute is a variant of the Roman salute, with the right arm and hand stretched and pointing upward, the palm outward and downward, with the fingers touching. However, unlike the Roman Salute, the arm is raised higher and at an angle to the right from the shoulder. The greeting is visible on the official posters of the games at Paris 1924 and Berlin 1936.\nThe Olympic salute has fallen out of use since World War II because of its resemblance to the Nazi salute. It was used by the French team in the opening ceremony of the 1948 Winter Olympics.\nMascots\nSince the 1968 Winter Olympics in Grenoble, France, the Olympic Games have had a mascot, usually an animal native to the area or occasionally human figures representing the cultural heritage. The first major mascot in the Olympic Games was Misha in the 1980 Summer Olympics in Moscow. Misha was used extensively during the opening and closing ceremonies, had a TV animated cartoon and appeared on several merchandise products. Nowadays, most of the merchandise aimed at young people focuses on the mascots, rather than the Olympic flag or organization logos.\nIntellectual property\nThe Olympic movement is very protective of its symbols, and many jurisdictions have given the movement exclusive trademark rights to any interlocking arrangement of five rings, and usage of the word \"Olympic\". The rings are not eligible for copyright protection, both because of their date of creation and because five circles arranged in a pattern do not reach the threshold of originality required to be copyrighted."]], "1_corpus": "wikipedia"} {"tstamp": 1722462458.9272, "task_type": "retrieval", "type": "bothbadvote", "models": ["", ""], "ip": "", "0_conv_id": "d8a83ec5cf0647ebb488184f4d8c1cc8", "0_model_name": "GritLM/GritLM-7B", "0_prompt": "What is the capital of Germany?", "0_output": [["What is the capital of Germany?", "History of Germany (1990–present)\n\nThe reunified Berlin became the capital of Germany on October 3, although the government continued to have its seat in Bonn until 1999. December 2 marks the first elections for the city parliament after reunification.\nKohl's fourth term, 1991–1994\nThe first federal election after reunification, the 1990 federal election, took place on December 2 in that year. The CDU became the largest party with 43.8%, followed by the SPD (33.5%) and the Free Democratic Party of Germany (11%).\nOn June 20, 1991, the Bundestag decided that the parliament and parts of the government and central administration would be relocated from Bonn to the capital, Berlin. At this time, the term \"Berlin Republic\" (alluding to the Cold War era \"Bonn Republic\" and the interwar period \"Weimar Republic\") emerged.\nRoman Herzog, a former Judge at the Federal Constitutional Court of Germany, was elected President of Germany in 1994, succeeding Richard von Weizsäcker.\nKohl's fifth term, 1994–1998\nFollowing the 1994 federal election, Helmut Kohl was reelected as Chancellor for his fifth and last term.\nChancellorship of Gerhard Schröder (1998–2005)\nFirst term, 1998–2002\nThe ruling liberal-conservative coalition government, consisting of the CDU/CSU and the FDP, lost the 1998 federal election, and Gerhard Schröder was elected as Chancellor,a the head of a coalition government consisting of his own SPD party and The Greens. Joschka Fischer, a leading Green politician, became Vice Chancellor and Foreign Minister."]], "0_corpus": "wikipedia", "1_conv_id": "6cb0b6f5ab414f32ba26b7c91b5236e2", "1_model_name": "Alibaba-NLP/gte-Qwen2-7B-instruct", "1_prompt": "What is the capital of Germany?", "1_output": [["What is the capital of Germany?", "Basic Law for the Federal Republic of Germany\n\nThe Basic Law for the Federal Republic of Germany () is the constitution of the Federal Republic of Germany.\nThe West German Constitution was approved in Bonn on 8 May 1949 and came into effect on 23 May after having been approved by the occupying western Allies of World War II on 12 May. It was termed \"Basic Law\" () to indicate that it was a provisional piece of legislation pending the reunification of Germany. However, when reunification took place in 1990, the Basic Law was retained as the definitive constitution of reunified Germany. Its original field of application ()—that is, the states that were initially included in the Federal Republic of Germany—consisted of the three Western Allies' zones of occupation, but at the insistence of the Western Allies, formally excluded West Berlin. In 1990, the Two Plus Four Agreement between the two parts of Germany and all four Allies stipulated the implementation of a number of amendments."]], "1_corpus": "wikipedia"} {"tstamp": 1722462500.7807, "task_type": "retrieval", "type": "bothbadvote", "models": ["", ""], "ip": "", "0_conv_id": "d8d829c986f34938b96488c84d21d186", "0_model_name": "nomic-ai/nomic-embed-text-v1.5", "0_prompt": "Biggest footbal club in Germany?", "0_output": [["Biggest footbal club in Germany?", "Borussia Dortmund\n\nBallspielverein Borussia 09 e. V. Dortmund, often known simply as Borussia Dortmund () or by its initialism BVB (), is a German professional sports club based in Dortmund, North Rhine-Westphalia. It is best known for its men's professional football team, which plays in the Bundesliga, the top tier of the German football league system. The club have won eight league championships, five DFB-Pokals, one UEFA Champions League, one Intercontinental Cup, and one UEFA Cup Winners' Cup.\nFounded in 1909 by eighteen football players from Dortmund, the football team is part of a large membership-based sports club with more than 189,000 members in 2023, making Borussia Dortmund the fifth largest sports club by membership in the world. The club also has a women's handball team. Since 1974, Dortmund have played their home games at the Westfalenstadion; the stadium is the largest in Germany, and Dortmund has the highest average attendance of any association football club in the world.\nBorussia Dortmund's colours are black and yellow, giving the club its nickname die Schwarzgelben. They hold a long-standing rivalry with Ruhr neighbours Schalke 04, against whom they contest the Revierderby. They also contest Der Klassiker with Bayern Munich.\nUnder the directorship of Michael Zorc in the 2010s, Dortmund cultivated a reputation for spotting and developing young talent, and have remained focused on developing a youth system. As of 2024, Dortmund had the second most revenue across football clubs in Germany, and the 12th most revenue across all football teams in the world, per Deloitte's Football Money League.\nHistory"]], "0_corpus": "wikipedia", "1_conv_id": "e1816b5bebab4e89bfe8fc77c5a1eff2", "1_model_name": "mixedbread-ai/mxbai-embed-large-v1", "1_prompt": "Biggest footbal club in Germany?", "1_output": [["Biggest footbal club in Germany?", "Borussia Dortmund\n\nBallspielverein Borussia 09 e. V. Dortmund, often known simply as Borussia Dortmund () or by its initialism BVB (), is a German professional sports club based in Dortmund, North Rhine-Westphalia. It is best known for its men's professional football team, which plays in the Bundesliga, the top tier of the German football league system. The club have won eight league championships, five DFB-Pokals, one UEFA Champions League, one Intercontinental Cup, and one UEFA Cup Winners' Cup.\nFounded in 1909 by eighteen football players from Dortmund, the football team is part of a large membership-based sports club with more than 189,000 members in 2023, making Borussia Dortmund the fifth largest sports club by membership in the world. The club also has a women's handball team. Since 1974, Dortmund have played their home games at the Westfalenstadion; the stadium is the largest in Germany, and Dortmund has the highest average attendance of any association football club in the world.\nBorussia Dortmund's colours are black and yellow, giving the club its nickname die Schwarzgelben. They hold a long-standing rivalry with Ruhr neighbours Schalke 04, against whom they contest the Revierderby. They also contest Der Klassiker with Bayern Munich.\nUnder the directorship of Michael Zorc in the 2010s, Dortmund cultivated a reputation for spotting and developing young talent, and have remained focused on developing a youth system. As of 2024, Dortmund had the second most revenue across football clubs in Germany, and the 12th most revenue across all football teams in the world, per Deloitte's Football Money League.\nHistory"]], "1_corpus": "wikipedia"} {"tstamp": 1722462532.7507, "task_type": "retrieval", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "54b49663debb4657b977972adb14b58c", "0_model_name": "GritLM/GritLM-7B", "0_prompt": "who devised the fingerprint classification still used today in europe and the us", "0_output": [["who devised the fingerprint classification still used today in europe and the us", "Francis Galton\n\nFingerprints The method of identifying criminals by their fingerprints had been introduced in the 1860s by Sir William James Herschel in India, and their potential use in forensic work was first proposed by Dr Henry Faulds in 1880. Galton was introduced to the field by his half-cousin Charles Darwin, who was a friend of Faulds', and he went on to create the first scientific footing for the study (which assisted its acceptance by the courts) although Galton did not ever give credit that the original idea was not his.\nIn a Royal Institution paper in 1888 and three books (Finger Prints, 1892; Decipherment of Blurred Finger Prints, 1893; and Fingerprint Directories, 1895), Galton estimated the probability of two persons having the same fingerprint and studied the heritability and racial differences in fingerprints. He wrote about the technique (inadvertently sparking a controversy between Herschel and Faulds that was to last until 1917), identifying common pattern in fingerprints and devising a classification system that survives to this day. He described and classified them into eight broad categories: 1: plain arch, 2: tented arch, 3: simple loop, 4: central pocket loop, 5: double loop, 6: lateral pocket loop, 7: plain whorl, and 8: accidental."]], "0_corpus": "wikipedia", "1_conv_id": "ead2d324aea74486b7a18797264ca7b1", "1_model_name": "BM25", "1_prompt": "who devised the fingerprint classification still used today in europe and the us", "1_output": [["who devised the fingerprint classification still used today in europe and the us", "Motihari\n\nKhan Bahadur Azizul Huq, one of the two Indian police officers who worked with Edward Henry in the development of fingerprint classification, known as the Henry Classification System, died in Motihari in 1933. \"It was Khan Bahadur Azizul Huq who evolved a mathematical formula to supplement Henry's idea of sorting slips in 1024 pigeon holes, based on fingerprint patterns. Rai Bahadur Hem Chandra Bose made further contribution to the fingerprint science by evolving an extended system of sub classification, a telegraphic code for finger impression and a system of single-digit classification.\"\nBoth Haque and Bose eventually received honoraria and recognition from the Government of India. At the time of final approval of the honorarium for Haque, the Home Department (Government of India) noted, \"It appears from the information now received that he (Haque) was Sir Edward Henry's principal helper in perfecting the scheme and he actually himself devised the method of classification which is in universal use. He thus contributed most materially to a discovery which is of worldwide importance and has brought a great credit to the police of India.\" Upon retirement from the Police service in Bengal and Bihar, Khan Bahadur Azizul Huq settled in Motihari, and he is buried there."]], "1_corpus": "wikipedia"} {"tstamp": 1722462567.396, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "fdc0e1076cdd4e98ae390ad1aef3ab4c", "0_model_name": "intfloat/e5-mistral-7b-instruct", "0_prompt": "check_nrpe do not use ssl?", "0_output": [["check_nrpe do not use ssl?", "Stackoverflow Stackexchange\n\nQ: CHECK_NRPE: Error - Could not complete SSL handshake I have NRPE daemon process running under xinetd on amazon ec2 instance and nagios server on my local machine.\nThe check_nrpe -H [amazon public IP] gives this error:\nCHECK_NRPE: Error - Could not complete SSL handshake.\n\nBoth Nrpe are same versions. Both are compiled with this option:\n./configure --with-ssl=/usr/bin/openssl --with-ssl-lib=/usr/lib/i386-linux-gnu/\n\n\"allowed host\" entry contains my local IP address.\nWhat could be the possible reason of this error now??\n\nA: To check if you have access to it at all attempt a simple telnet on the address:port, a ping or traceroute to see where it is blocking.\ntelnet IP port\nping IP\ntraceroute -p $port IP\n\nAlso check on the target server that the nrpe daemon is working properly.\nnetstat -at | grep nrpe\n\nYou also need to check the versions of OpenSSL installed on both servers, as I have seen this break checks on occasion with the SSL handshake!\n"]], "0_corpus": "stackexchange", "1_conv_id": "bf1352cb97b14bada23b07c6d4ef5ae1", "1_model_name": "BM25", "1_prompt": "check_nrpe do not use ssl?", "1_output": [["check_nrpe do not use ssl?", "Stackoverflow Stackexchange\n\nQ: CHECK_NRPE: Error - Could not complete SSL handshake I have NRPE daemon process running under xinetd on amazon ec2 instance and nagios server on my local machine.\nThe check_nrpe -H [amazon public IP] gives this error:\nCHECK_NRPE: Error - Could not complete SSL handshake.\n\nBoth Nrpe are same versions. Both are compiled with this option:\n./configure --with-ssl=/usr/bin/openssl --with-ssl-lib=/usr/lib/i386-linux-gnu/\n\n\"allowed host\" entry contains my local IP address.\nWhat could be the possible reason of this error now??\n\nA: To check if you have access to it at all attempt a simple telnet on the address:port, a ping or traceroute to see where it is blocking.\ntelnet IP port\nping IP\ntraceroute -p $port IP\n\nAlso check on the target server that the nrpe daemon is working properly.\nnetstat -at | grep nrpe\n\nYou also need to check the versions of OpenSSL installed on both servers, as I have seen this break checks on occasion with the SSL handshake!\n"]], "1_corpus": "stackexchange"} {"tstamp": 1722462601.8586, "task_type": "retrieval", "type": "bothbadvote", "models": ["", ""], "ip": "", "0_conv_id": "98c3f4db315a4b218adca6965ca64bcc", "0_model_name": "BAAI/bge-large-en-v1.5", "0_prompt": "do any headphones work with ps4?", "0_output": [["do any headphones work with ps4?", "Gaming Stackexchange\n\nQ: Can I use my regular 3.5mm headphones with a PS4? Can I use my personal regular 3.5mm headphones with a PS4 to listen to in game audio through the Dual Shock or remotes?\n\nA: I found the steps slightly different to the answer from @Teryx, maybe due to a later software update? This worked for system software 2.04:\nFirst plug in your headphones to the DS4. Then:\nSettings > Devices > Audio Devices > Output Device.\nThat should be set to \"Headphones Connected to Controller\".\nAs @Teryx said, on the same screen, > Output to Headphones should be set to \"All Audio\"\n"]], "0_corpus": "stackexchange", "1_conv_id": "8aa6d65cbc8a4a6b8d6f48dc69c02775", "1_model_name": "nomic-ai/nomic-embed-text-v1.5", "1_prompt": "do any headphones work with ps4?", "1_output": [["do any headphones work with ps4?", "Gaming Stackexchange\n\nQ: Can I use my regular 3.5mm headphones with a PS4? Can I use my personal regular 3.5mm headphones with a PS4 to listen to in game audio through the Dual Shock or remotes?\n\nA: I found the steps slightly different to the answer from @Teryx, maybe due to a later software update? This worked for system software 2.04:\nFirst plug in your headphones to the DS4. Then:\nSettings > Devices > Audio Devices > Output Device.\nThat should be set to \"Headphones Connected to Controller\".\nAs @Teryx said, on the same screen, > Output to Headphones should be set to \"All Audio\"\n"]], "1_corpus": "stackexchange"} {"tstamp": 1722465420.3747, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "f2dcbd95ca2f4745afd2dfdb70e3e51b", "0_model_name": "BM25", "0_prompt": "1 what is the relationship between the variance and the standard deviation?", "0_output": [["1 what is the relationship between the variance and the standard deviation?", "Stats Stackexchange\n\nQ: What's the difference between variance and standard deviation? I was wondering what the difference between the variance and the standard deviation is. \nIf you calculate the two values, it is clear that you get the standard deviation out of the variance, but what does that mean in terms of the distribution you are observing?\nFurthermore, why do you really need a standard deviation?\n\nA: You don't need both. They each have different purposes. The SD is usually more useful to describe the variability of the data while the variance is usually much more useful mathematically. For example, the sum of uncorrelated distributions (random variables) also has a variance that is the sum of the variances of those distributions. This wouldn't be true of the SD. On the other hand, the SD has the convenience of being expressed in units of the original variable.\n"]], "0_corpus": "stackexchange", "1_conv_id": "9966eed1d8cc4384a35298d4896ee1cd", "1_model_name": "Salesforce/SFR-Embedding-2_R", "1_prompt": "1 what is the relationship between the variance and the standard deviation?", "1_output": [["1 what is the relationship between the variance and the standard deviation?", "Stats Stackexchange\n\nQ: What's the difference between variance and standard deviation? I was wondering what the difference between the variance and the standard deviation is. \nIf you calculate the two values, it is clear that you get the standard deviation out of the variance, but what does that mean in terms of the distribution you are observing?\nFurthermore, why do you really need a standard deviation?\n\nA: You don't need both. They each have different purposes. The SD is usually more useful to describe the variability of the data while the variance is usually much more useful mathematically. For example, the sum of uncorrelated distributions (random variables) also has a variance that is the sum of the variances of those distributions. This wouldn't be true of the SD. On the other hand, the SD has the convenience of being expressed in units of the original variable.\n"]], "1_corpus": "stackexchange"} {"tstamp": 1722465434.2947, "task_type": "retrieval", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "acb5cb0d249949e28247857d702e7bc3", "0_model_name": "nomic-ai/nomic-embed-text-v1.5", "0_prompt": "Which test was devised to determine whether robots can think?", "0_output": [["Which test was devised to determine whether robots can think?", "Turing test\n\nThe Turing test, originally called the imitation game by Alan Turing in 1950, is a test of a machine's ability to exhibit intelligent behaviour equivalent to, or indistinguishable from, that of a human. Turing proposed that a human evaluator would judge natural language conversations between a human and a machine designed to generate human-like responses. The evaluator would be aware that one of the two partners in conversation was a machine, and all participants would be separated from one another. The conversation would be limited to a text-only channel, such as a computer keyboard and screen, so the result would not depend on the machine's ability to render words as speech. If the evaluator could not reliably tell the machine from the human, the machine would be said to have passed the test. The test results would not depend on the machine's ability to give correct answers to questions, only on how closely its answers resembled those a human would give. Since the Turing test is a test of indistinguishability in performance capacity, the verbal version generalizes naturally to all of human performance capacity, verbal as well as nonverbal (robotic)."]], "0_corpus": "wikipedia", "1_conv_id": "cb703ba5652e43eabaa1ebd424ccad26", "1_model_name": "jinaai/jina-embeddings-v2-base-en", "1_prompt": "Which test was devised to determine whether robots can think?", "1_output": [["Which test was devised to determine whether robots can think?", "Cognitive test\n\nCognitive tests are assessments of the cognitive capabilities of humans and other animals. Tests administered to humans include various forms of IQ tests; those administered to animals include the mirror test (a test of visual self-awareness) and the T maze test (which tests learning ability). Such testing is used in psychology and psychometrics, as well as other fields studying human and animal intelligence."]], "1_corpus": "wikipedia"} {"tstamp": 1722465711.4368, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "0ef40f5333d1494cb3a1f557fa0c7910", "0_model_name": "voyage-multilingual-2", "0_prompt": "What's the purpose of `if __name__ == '__main__'`?", "0_output": [["What's the purpose of `if __name__ == '__main__'`?", "Stackoverflow Stackexchange\n\nQ: What does `if name == \"__main__\"` mean in Python? \nPossible Duplicate:\nWhat does do? \n\nI have wrote scripts in Python for quite a while now and I study more of Python as I need it. When reading other people's code I meet if name == \"__main__\": construct quite often. \nWhat is it good for?\n\nA: Basically, \nThere's a distinction between the \"main\" script file and external files which were imported or referenced in another way. If the script is the \"main\" script then the special variable __name__ will equal \"__main__\".\nYou can use this to protect the \"execution\" code from the classes and variables the script has. This enables you to import a script and use classes and variables without actually running that script's main code if it has any.\nSee also: What does if name == “main”: do?\n"]], "0_corpus": "stackexchange", "1_conv_id": "b081fae2f0c64992aef76a9162aa76f0", "1_model_name": "BM25", "1_prompt": "What's the purpose of `if __name__ == '__main__'`?", "1_output": [["What's the purpose of `if __name__ == '__main__'`?", "Stackoverflow Stackexchange\n\nQ: What is the purpose of __name__? What does __name__ do? I have only seen it paired with __main__ and nothing else.\nI know that the classic if __name__ == __main__: defines the behavior when acting as a package vs running as stand-alone.\nHowever what other usages are there for __name__?\n\nA: __name__ is \"__main__\" if you're executing the script directly. If you're importing a module, __name__ is the name of the module.\nfoo.py:\nprint(__name__)\n\nbar.py \nimport foo\n\nRun the scripts:\n$ python foo.py\n__main__\n$ python bar.py \nfoo\n\n"]], "1_corpus": "stackexchange"} {"tstamp": 1722465740.4392, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "a58d1265cbf44a65a135c79b9ae1e7c6", "0_model_name": "text-embedding-004", "0_prompt": "who is young george bailey in it's a wonderful life", "0_output": [["who is young george bailey in it's a wonderful life", "George Bailey (It's a Wonderful Life)\n\nEarly life In the winter of 1919, George (aged 12, played by Bobby Anderson) and his friends Bert, Ernie Bishop, Marty Hatch, Sam Wainwright, and his brother Harry are sledding on a frozen river. Harry breaks through the ice and George jumps into the freezing water to save him. In doing so, George became ill with an infection that waylaid him for some time and caused him to lose hearing in his left ear.\nIn May 1920, George returns to his job at Mr. Gower's drugstore, where he first attends to the soda fountain when two customers are a young Mary Hatch and her friend Violet Bick. George announces his plan to be an explorer and travel the world, citing National Geographic as an inspiration where Mary whispers her love for George in his deaf ear. George then finds a telegram informing Gower that his son has died in the Spanish flu pandemic. A visibly distraught Gower directs George to deliver medicine to a customer, but George realizes that, in his distress, he had inadvertently put poison into the capsules. He seeks advice from his father, who is president of the Bailey Brothers Building & Loan, but his father is meeting with Henry F. Potter, one of the shareholders. When he returns to the store, Gower angrily berates him for not delivering the capsules, until George blurts out Gower's mistake. Realizing this would have been fatal, Gower tearfully thanks George, who promises that he will never tell anyone what happened."]], "0_corpus": "wikipedia", "1_conv_id": "f6e43c4882b04dc590789a91e10f844a", "1_model_name": "text-embedding-3-large", "1_prompt": "who is young george bailey in it's a wonderful life", "1_output": [["who is young george bailey in it's a wonderful life", "George Bailey (It's a Wonderful Life)\n\nGeorge Bailey is a fictional character and the protagonist in Frank Capra's 1946 film It's a Wonderful Life. The character is a building and loan banker who sacrifices his dreams in order to help his community of Bedford Falls to the point where he feels life has passed him by. Eventually, due to difficulties in keeping the building and loan solvent, Bailey falls into despair so deep that he contemplates suicide, until a guardian angel, Clarence Odbody, gives him a valuable perspective on the worth of his life. George finds through Odbody's angelic power and gift what life would be like if he didn't have his wife, Mary, his children and friends, and what their lives and the social structure of Bedford Falls would be like without him.\nBailey is played by James Stewart as an adult and Bobby Anderson as a child, and is loosely based on George Pratt, a character in Philip Van Doren Stern's 1943 booklet The Greatest Gift.\nThe character was portrayed by Pete Davidson in a 2020 television special.\nFictional biography"]], "1_corpus": "wikipedia"} {"tstamp": 1722465759.6674, "task_type": "retrieval", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "c68abe75c7294b6d8735fc7c95541249", "0_model_name": "jinaai/jina-embeddings-v2-base-en", "0_prompt": "Investigating the transferability of soft prompts across different PLMs and its impact on training time.", "0_output": [["Investigating the transferability of soft prompts across different PLMs and its impact on training time.", "Title: Stellarator News, Issue 38, March 1995\n\nAbstract: Stellarator News, an international journal of the stellarator community, is Published by Fusion Energy Division, Oak Ridge National Laboratory, James A. Rome, Editor In the March 1995 issue . . . **** Exerpts from the U.S. Congress Office of Technology Assment report on TPX and Alternate Concepts. **** Edge transport and turbulence studies on U-3M The turbulent-driven particle flow is shown to be comparable with the equilibrium flow at the boundary of the configuration under Alfven-heating conditions in the U-3M torsatron. **** Topological aspects of island divertor studies on W7-AS The structure of the edge plasma in W7-AS, observed with probes, television camera, and H-alpha light agrees at low beta with vacuum field calculations: the low-valued resonances at iotabar=5/m are resolved for m = 8 to 11; external perturbations are not significant at the edge, even for iotabar = 5/10. **** 140-GHz second harmonic O-mode electron cyclotron heating at W7-AS First experimental results are presented of 140-GHz second harmonic O-mode (0.7-MW power) ECRH at a high electron density of 1.8 x 10^20 m^-3 on W7-AS. **** Equilibrium plasma currents in quasi-symmetric stellarators with a helical magnetic axis The plasma currents in quasi-symmetric stellarators are calculated to determe the quasi-symmetric conditions with the help of analytical equations."]], "0_corpus": "arxiv", "1_conv_id": "935a0a0836b6482e91837f3442dda66e", "1_model_name": "mixedbread-ai/mxbai-embed-large-v1", "1_prompt": "Investigating the transferability of soft prompts across different PLMs and its impact on training time.", "1_output": [["Investigating the transferability of soft prompts across different PLMs and its impact on training time.", "Title: On Transferability of Prompt Tuning for Natural Language Processing\n\nAbstract: Prompt tuning (PT) is a promising parameter-efficient method to utilize extremely large pre-trained language models (PLMs), which can achieve comparable performance to full-parameter fine-tuning by only tuning a few soft prompts. However, PT requires much more training time than fine-tuning. Intuitively, knowledge transfer can help to improve the efficiency. To explore whether we can improve PT via prompt transfer, we empirically investigate the transferability of soft prompts across different downstream tasks and PLMs in this work. We find that (1) in zero-shot setting, trained soft prompts can effectively transfer to similar tasks on the same PLM and also to other PLMs with a cross-model projector trained on similar tasks; (2) when used as initialization, trained soft prompts of similar tasks and projected prompts of other PLMs can significantly accelerate training and also improve the performance of PT. Moreover, to explore what decides prompt transferability, we investigate various transferability indicators and find that the overlapping rate of activated neurons strongly reflects the transferability, which suggests how the prompts stimulate PLMs is essential. Our findings show that prompt transfer is promising for improving PT, and further research shall focus more on prompts' stimulation to PLMs. The source code can be obtained from https://github.com/thunlp/Prompt-Transferability."]], "1_corpus": "arxiv"} {"tstamp": 1722465812.3109, "task_type": "retrieval", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "0c6201bc4ecc4404938c5684f907f8b5", "0_model_name": "BAAI/bge-large-en-v1.5", "0_prompt": "Research showing safety and factual grounding improvements in large-language dialog models.", "0_output": [["Research showing safety and factual grounding improvements in large-language dialog models.", "Title: Towards Harnessing Large Language Models for Comprehension of Conversational Grounding\n\nAbstract: Conversational grounding is a collaborative mechanism for establishing mutual knowledge among participants engaged in a dialogue. This experimental study analyzes information-seeking conversations to investigate the capabilities of large language models in classifying dialogue turns related to explicit or implicit grounding and predicting grounded knowledge elements. Our experimental results reveal challenges encountered by large language models in the two tasks and discuss ongoing research efforts to enhance large language model-based conversational grounding comprehension through pipeline architectures and knowledge bases. These initiatives aim to develop more effective dialogue systems that are better equipped to handle the intricacies of grounded knowledge in conversations."]], "0_corpus": "arxiv", "1_conv_id": "ff0a091aac284d1a99206a814ef2a352", "1_model_name": "sentence-transformers/all-MiniLM-L6-v2", "1_prompt": "Research showing safety and factual grounding improvements in large-language dialog models.", "1_output": [["Research showing safety and factual grounding improvements in large-language dialog models.", "Title: Chaos or Noise - Difficulties of a Distinction\n\nAbstract: In experiments, the dynamical behavior of systems is reflected in time series. Due to the finiteness of the observational data set it is not possible to reconstruct the invariant measure up to arbitrary fine resolution and arbitrary high embedding dimension. These restrictions limit our ability to distinguish between signals generated by different systems, such as regular, chaotic or stochastic ones, when analyzed from a time series point of view. We propose to classify the signal behavior, without referring to any specific model, as stochastic or deterministic on a certain scale of the resolution $\\epsilon$, according to the dependence of the $(\\epsilon,\\tau)$-entropy, $h(\\epsilon, \\tau)$, and of the finite size Lyapunov exponent, $\\lambda(\\epsilon)$, on $\\epsilon$."]], "1_corpus": "arxiv"} {"tstamp": 1722465825.4944, "task_type": "retrieval", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "5118102b23204134bea5a72c788f7ef0", "0_model_name": "intfloat/multilingual-e5-large-instruct", "0_prompt": "are illusion and hallucination the same?", "0_output": [["are illusion and hallucination the same?", "English Stackexchange\n\nQ: Difference between 'hallucination' and 'illusion' The following quote is found on The Basics of Philosophy page:\n\nRepresentationalists argue their case from the \"epistemological fact\" that it is impossible to have experience beyond the sensory surface, from the fact that dreams, hallucinations and visual illusions clearly indicate that the world of experience is not the same thing as the world itself,\n\nWhat is the difference between the terms \"hallucination\" and \"visual illusion\", as used in the quote?\n\nA: A hallucination is to see something that is not real! For example, if you feel that you are seeing a cat that is flying, then you are experiencing a hallucination.\nAn illusion is to look at something real but to see it in a different way, like when you look at two horizontal lines but it feels like they are not actually horizontal.\n"]], "0_corpus": "stackexchange", "1_conv_id": "1563065f582143bda784b2e284059c97", "1_model_name": "sentence-transformers/all-MiniLM-L6-v2", "1_prompt": "are illusion and hallucination the same?", "1_output": [["are illusion and hallucination the same?", "Stackoverflow Stackexchange\n\nQ: Why is AWS CloudFormer so slow even if i beef up the underlying instance? Using CloudFormer to Create AWS CloudFormation Templates from Existing AWS Resources is a resource that I hoped to use to take frequent and scheduled infrastructure snapshots as a mechanism for \"Disaster Recovery\". \nThe cloudformer tool is a web-based app that is spun up as an EC2 instance by an AWS Cloudformation canned template. \nIt takes upto 20-30 minutes to create a template file that contains all the AWS resources in my account. Why?\nI have tried increasing the instance size from a t2.small to a m5.4xlarge and there is only marginal performance improvement. \nIs it because the cloudformer tool makes a ton of calls to aws-cli and these calls are somehow throttled by AWS?\nAny alternatives to automate taking scheduled snapshots of AWS infrastructure that can be fed into Cloud Formation for quick recovery?\nThanks!\n"]], "1_corpus": "stackexchange"} {"tstamp": 1722465837.5215, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "087c6418705f4bd08ba8bef2c77fa283", "0_model_name": "mixedbread-ai/mxbai-embed-large-v1", "0_prompt": "who played the face in the a team", "0_output": [["who played the face in the a team", "The A-Team\n\nCharacters The A-Team revolves around the four members of a former commando outfit, now mercenaries. Their leader is Lieutenant Colonel John \"Hannibal\" Smith (George Peppard), whose plans tend to be unorthodox but effective. Lieutenant Templeton Peck (Dirk Benedict in the TV series, Tim Dunigan appeared as Templeton Peck in the pilot), usually called \"Face\" or \"Faceman\", is a smooth-talking con man who is second-in-command, and the appropriator of vehicles and other useful items. The team's pilot is Captain H.M. \"Howling Mad\" Murdock (Dwight Schultz), who has been declared insane and lives in a Veterans' Affairs mental institution for the first four seasons. The team's strong man and mechanic is Sergeant First Class Bosco \"B.A.\", or \"Bad Attitude\", Baracus (Mr. T).\nUntil the first half of the second season, the team was assisted by reporter Amy Amanda Allen (Melinda Culea). In the second half of the second season, Allen was replaced by fellow reporter Tawnia Baker (Marla Heasley). The character of Tia (Tia Carrere), a Vietnam war orphan now living in the United States, was meant to join the team in the fifth season, but she was replaced by Frankie Santana (Eddie Velez), who served as the team's special effects expert. Velez was added to the opening credits of the fifth season after its second episode.\nCasting\nAlthough the part of Face was written by Frank Lupo and Stephen J. Cannell with Dirk Benedict in mind, NBC insisted that the part should be played by another actor. Therefore, in the pilot, Face was portrayed by Tim Dunigan, who was later replaced by Benedict, with the comment that Dunigan was \"too tall and too young\". According to Dunigan: \"I look even younger on camera than I am. So it was difficult to accept me as a veteran of the Vietnam War, which ended when I was a sophomore in high school.\""]], "0_corpus": "wikipedia", "1_conv_id": "86ae3707863f41a9822a90d6524cbd96", "1_model_name": "Salesforce/SFR-Embedding-2_R", "1_prompt": "who played the face in the a team", "1_output": [["who played the face in the a team", "The A-Team\n\nCharacters The A-Team revolves around the four members of a former commando outfit, now mercenaries. Their leader is Lieutenant Colonel John \"Hannibal\" Smith (George Peppard), whose plans tend to be unorthodox but effective. Lieutenant Templeton Peck (Dirk Benedict in the TV series, Tim Dunigan appeared as Templeton Peck in the pilot), usually called \"Face\" or \"Faceman\", is a smooth-talking con man who is second-in-command, and the appropriator of vehicles and other useful items. The team's pilot is Captain H.M. \"Howling Mad\" Murdock (Dwight Schultz), who has been declared insane and lives in a Veterans' Affairs mental institution for the first four seasons. The team's strong man and mechanic is Sergeant First Class Bosco \"B.A.\", or \"Bad Attitude\", Baracus (Mr. T).\nUntil the first half of the second season, the team was assisted by reporter Amy Amanda Allen (Melinda Culea). In the second half of the second season, Allen was replaced by fellow reporter Tawnia Baker (Marla Heasley). The character of Tia (Tia Carrere), a Vietnam war orphan now living in the United States, was meant to join the team in the fifth season, but she was replaced by Frankie Santana (Eddie Velez), who served as the team's special effects expert. Velez was added to the opening credits of the fifth season after its second episode.\nCasting\nAlthough the part of Face was written by Frank Lupo and Stephen J. Cannell with Dirk Benedict in mind, NBC insisted that the part should be played by another actor. Therefore, in the pilot, Face was portrayed by Tim Dunigan, who was later replaced by Benedict, with the comment that Dunigan was \"too tall and too young\". According to Dunigan: \"I look even younger on camera than I am. So it was difficult to accept me as a veteran of the Vietnam War, which ended when I was a sophomore in high school.\""]], "1_corpus": "wikipedia"} {"tstamp": 1722465874.6509, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "c13e1561c9154281afe7b0b1a0bb56c8", "0_model_name": "voyage-multilingual-2", "0_prompt": "what is the difference between a bullet journal and a diary?", "0_output": [["what is the difference between a bullet journal and a diary?", "English Stackexchange\n\nQ: What's the difference between \"diary\" and \"journal\"? What's the difference between diary and journal? They seem like they could mean the same thing, but I'm probably wrong.\n\nA: I don't know where I heard this (and I even searched google for the source), but I hear people saying, \"Girls keep diaries, boys keep journals.\"\nI think they both mean the same thing, but you normally wouldn't hear a boy say, \"I'm going to write in my diary.\" They're more likely to say, \"I keep a journal.\"\n"]], "0_corpus": "stackexchange", "1_conv_id": "9748dfc0519f460b82304b13c9cc8389", "1_model_name": "Salesforce/SFR-Embedding-2_R", "1_prompt": "what is the difference between a bullet journal and a diary?", "1_output": [["what is the difference between a bullet journal and a diary?", "English Stackexchange\n\nQ: What's the difference between \"diary\" and \"journal\"? What's the difference between diary and journal? They seem like they could mean the same thing, but I'm probably wrong.\n\nA: I don't know where I heard this (and I even searched google for the source), but I hear people saying, \"Girls keep diaries, boys keep journals.\"\nI think they both mean the same thing, but you normally wouldn't hear a boy say, \"I'm going to write in my diary.\" They're more likely to say, \"I keep a journal.\"\n"]], "1_corpus": "stackexchange"} {"tstamp": 1722465891.6848, "task_type": "retrieval", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "b23e04dabb5340ce8829d3927034fc7d", "0_model_name": "Salesforce/SFR-Embedding-2_R", "0_prompt": "what does it mean when someone says your a unicorn?", "0_output": [["what does it mean when someone says your a unicorn?", "English Stackexchange\n\nQ: What does \"in the world of unicorns\" mean? I was reading one article where founder was talking about his failure due to inability to raise money for his startup. He says:\n\nEvery investor is chasing something shiny, they do not care for the ecosystem at all. In the world of unicorns it is really hard to see any other animal.\n\nWhat does \"in the world of unicorns\" mean here?\n\nA: \"in the world of unicorns\", as jargon of the financial world, has already been explained in one answer. The expression is used with a different meaning in other contexts, though.\nUnicorns are mythological horse-like figures. \"In the world of unicorns\", therefore, means \"in dreams\", or \"in an imaginary world\"\nexamples:\n\n\n*\n\n*\"The perfect mother exists only in the world of unicorns\"\n\n*\"In the world of unicorns and gullible contemplative readers, there is no point to worryingly questioning eternal truths confirmed by age-old, daily, unalterable, ...\n\n*\"Do you guys live in the world of unicorns and rainbows? Never mind, that was a rhetorical question.\"\n\n"]], "0_corpus": "stackexchange", "1_conv_id": "2e998cd8f2564d99869d80cb3a0371b8", "1_model_name": "jinaai/jina-embeddings-v2-base-en", "1_prompt": "what does it mean when someone says your a unicorn?", "1_output": [["what does it mean when someone says your a unicorn?", "Stackoverflow Stackexchange\n\nQ: System Design Document template for firmware development on Atmel UC3 platfrom Do any body have or know any site where I can get a template for System Design Document for my firmware develop project for Atmel UC3 platform?\n"]], "1_corpus": "stackexchange"} {"tstamp": 1722465905.9641, "task_type": "retrieval", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "cb058a3b53f54b4da5cf6042550efe49", "0_model_name": "mixedbread-ai/mxbai-embed-large-v1", "0_prompt": "why fcc metals are more ductile?", "0_output": [["why fcc metals are more ductile?", "Physics Stackexchange\n\nQ: Why can materials like sandpaper deform hard metals? I don't have much of a physics background, so my assumptions might be somewhat incorrect. But I've recently seen how sanding tools can be used on materials that are powerful, such as stainless steel. From a Google search, it seems standard sanding tools are made out of materials like aluminum oxide, which (aluminum) I've generally understood to be a relatively weaker metal. I was hoping to get some clarification regarding the basic process of how the sandpaper does not deform itself, instead doing more damage to the material it's in contact with.\n\nA: Pure aluminum metal is relatively soft, but aluminum oxide is harder than any steel. The particles of the oxide that are glued to the paper have extremely sharp edges on them, and when you rub the sandpaper on a piece of steel, those sharp edges scrape off tiny pieces of steel. \n"]], "0_corpus": "stackexchange", "1_conv_id": "4d0ceea4f552438c8800fcc2771397a9", "1_model_name": "sentence-transformers/all-MiniLM-L6-v2", "1_prompt": "why fcc metals are more ductile?", "1_output": [["why fcc metals are more ductile?", "Stackoverflow Stackexchange\n\nQ: maven: Running the same tests for different configurations In my spring + maven app, I have created some tests for the Data Access Layer that I would like now to run against multiple datasources. I have something like:\n@ContextConfiguration(locations={\"file:src/test/resources/testAppConfigMysql.xml\"})\npublic class TestFooDao extends AbstractTransactionalJUnit38SpringContextTests {\n public void testFoo(){\n ...\n }\n} \n\nIt has currently the config location hardcoded, so it can be used only against one datasource.\nWhat is the best way to invoke the test twice and pass two different configs (say testAppConfigMysql.xml and testMyConfigHsqlDb.xml)?\nI've seen suggestions to do this via system properties. How can I tell maven to invoke the tests twice, with different values of a system property?\n\nA: I don't know if there is some sexy and fancy solution, being simple as well, for this. I would just implement base class with all testing stuff and then inherit it into 2 classes with different annotation-based configuration, like this:\n@ContextConfiguration(locations={\"firstDs.xml\"})\npublic class TestFooDaoUsingFirstDs extends TestFooDao {\n}\n\n@ContextConfiguration(locations={\"secondDs.xml\"})\npublic class TestFooDaoUsingSecondDs extends TestFooDao {\n}\n\nUnless you have to handle really high number of different datasources this way, that is OK for me.\n"]], "1_corpus": "stackexchange"} {"tstamp": 1722465954.2012, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "1189f1c061484934bcb95af2805d644c", "0_model_name": "nomic-ai/nomic-embed-text-v1.5", "0_prompt": "who is the highest paid baseball player in the major leagues", "0_output": [["who is the highest paid baseball player in the major leagues", "List of highest-paid Major League Baseball players\n\nMajor League Baseball (MLB) does not have a hard salary cap, instead employing a luxury tax which applies to teams whose total payroll exceeds certain set thresholds for a given season. Free agency did not exist in MLB prior to the end of the reserve clause in the 1970s, allowing owners before that time to wholly dictate the terms of player negotiations and resulting in significantly lower salaries.\nBabe Ruth, widely regarded as one of the greatest baseball players ever, earned an estimated $856,850 ($ inflation-adjusted from 1934 dollars) over his entire playing career. When asked whether he thought he deserved to earn $80,000 a year ($ inflation-adjusted), while the president, Herbert Hoover, had a $75,000 salary, Ruth famously remarked, \"What the hell has Hoover got to do with it? Besides, I had a better year than he did.\"\nPitcher Nolan Ryan was the first player to earn an annual salary above $1 million, signing a $4.5 million, 4-year contract with the Houston Astros in 1979. Kirby Puckett and Rickey Henderson signed the first contracts which paid an average of $3 million a year in November 1989. In 1990, Jose Canseco signed for 5 years and $23.5 million, making him the first player to earn an average of $4 million a year. It wasn't until 2010 when the MLB average salary rose above that same mark."]], "0_corpus": "wikipedia", "1_conv_id": "6f0844ac61b1433a897102e0c41e466a", "1_model_name": "mixedbread-ai/mxbai-embed-large-v1", "1_prompt": "who is the highest paid baseball player in the major leagues", "1_output": [["who is the highest paid baseball player in the major leagues", "List of highest-paid Major League Baseball players\n\nAlex Rodriguez has signed two record-breaking contracts over the course of his career. First, he signed a $252 million, 10-year contract with the Texas Rangers in December 2000 ($ inflation-adjusted from 2000 dollars). Sandy Alderson called the deal \"stupefying\", while Sports Illustrated noted that Rodriguez's early salaries under the contract ($21 million) would be greater than the annual payroll of the entire Minnesota Twins team that year ($15.8 million). The deal was the largest sports contract in history, doubling the total value of Kevin Garnett's $126 million National Basketball Association contract (the previous record holder) and more than doubling Mike Hampton's $121 million contract, the previous MLB record which had been signed just days before. The Rangers later traded Rodriguez to the Yankees in exchange for Alfonso Soriano before the 2004 season, though they agreed to pay $67 million of the $179 million outstanding on the contract. Despite this, he opted out of the remainder of his deal after the 2007 season and renegotiated a new $275 million, 10-year agreement with the Yankees, breaking his own record for the largest sports contract. Under this deal, Rodriguez also received $6 million when he tied the career home run total of Willie Mays (660), and would have received $6 million more had he tied Babe Ruth (714), Hank Aaron (755), and Barry Bonds (762), along with another $6 million for breaking Bonds' mark.\nFive of the twenty highest-paid players in 2013 were members of the Yankees. Their team payroll for 2013 was $228,835,490, roughly $12 million above the second-largest Los Angeles Dodgers. The Yankees have drawn criticism for their payroll, with some claiming it undermines the parity of MLB. From 2003-2020, the Yankees' payroll exceeded the luxury tax threshold every year except 2018.\nKey\nHighest annual salaries in 2023\nThis table refers to the salary for 2023 alone, not the overall average value or amount of the contract.\nTop 10 Career earnings through 2023 season\nEarnings up to date as of the end of the 2023 season.\nSalary progression\nThis list documents the progression of the highest average annual value contracts/contract extensions."]], "1_corpus": "wikipedia"} {"tstamp": 1722465985.5653, "task_type": "retrieval", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "526c04430d6c4df0bc529414663a6f8a", "0_model_name": "Salesforce/SFR-Embedding-2_R", "0_prompt": "who is the highest paid baseball player in the major leagues", "0_output": [["who is the highest paid baseball player in the major leagues", "List of highest-paid Major League Baseball players\n\nMajor League Baseball (MLB) does not have a hard salary cap, instead employing a luxury tax which applies to teams whose total payroll exceeds certain set thresholds for a given season. Free agency did not exist in MLB prior to the end of the reserve clause in the 1970s, allowing owners before that time to wholly dictate the terms of player negotiations and resulting in significantly lower salaries.\nBabe Ruth, widely regarded as one of the greatest baseball players ever, earned an estimated $856,850 ($ inflation-adjusted from 1934 dollars) over his entire playing career. When asked whether he thought he deserved to earn $80,000 a year ($ inflation-adjusted), while the president, Herbert Hoover, had a $75,000 salary, Ruth famously remarked, \"What the hell has Hoover got to do with it? Besides, I had a better year than he did.\"\nPitcher Nolan Ryan was the first player to earn an annual salary above $1 million, signing a $4.5 million, 4-year contract with the Houston Astros in 1979. Kirby Puckett and Rickey Henderson signed the first contracts which paid an average of $3 million a year in November 1989. In 1990, Jose Canseco signed for 5 years and $23.5 million, making him the first player to earn an average of $4 million a year. It wasn't until 2010 when the MLB average salary rose above that same mark."]], "0_corpus": "wikipedia", "1_conv_id": "fa0130a0418348f0b92ac9405286a9ff", "1_model_name": "text-embedding-004", "1_prompt": "who is the highest paid baseball player in the major leagues", "1_output": [["who is the highest paid baseball player in the major leagues", "List of highest-paid Major League Baseball players\n\nAlex Rodriguez has signed two record-breaking contracts over the course of his career. First, he signed a $252 million, 10-year contract with the Texas Rangers in December 2000 ($ inflation-adjusted from 2000 dollars). Sandy Alderson called the deal \"stupefying\", while Sports Illustrated noted that Rodriguez's early salaries under the contract ($21 million) would be greater than the annual payroll of the entire Minnesota Twins team that year ($15.8 million). The deal was the largest sports contract in history, doubling the total value of Kevin Garnett's $126 million National Basketball Association contract (the previous record holder) and more than doubling Mike Hampton's $121 million contract, the previous MLB record which had been signed just days before. The Rangers later traded Rodriguez to the Yankees in exchange for Alfonso Soriano before the 2004 season, though they agreed to pay $67 million of the $179 million outstanding on the contract. Despite this, he opted out of the remainder of his deal after the 2007 season and renegotiated a new $275 million, 10-year agreement with the Yankees, breaking his own record for the largest sports contract. Under this deal, Rodriguez also received $6 million when he tied the career home run total of Willie Mays (660), and would have received $6 million more had he tied Babe Ruth (714), Hank Aaron (755), and Barry Bonds (762), along with another $6 million for breaking Bonds' mark.\nFive of the twenty highest-paid players in 2013 were members of the Yankees. Their team payroll for 2013 was $228,835,490, roughly $12 million above the second-largest Los Angeles Dodgers. The Yankees have drawn criticism for their payroll, with some claiming it undermines the parity of MLB. From 2003-2020, the Yankees' payroll exceeded the luxury tax threshold every year except 2018.\nKey\nHighest annual salaries in 2023\nThis table refers to the salary for 2023 alone, not the overall average value or amount of the contract.\nTop 10 Career earnings through 2023 season\nEarnings up to date as of the end of the 2023 season.\nSalary progression\nThis list documents the progression of the highest average annual value contracts/contract extensions."]], "1_corpus": "wikipedia"} {"tstamp": 1722465996.1415, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "2c14f9a9f37d4288aa699bb156d40d1e", "0_model_name": "mixedbread-ai/mxbai-embed-large-v1", "0_prompt": "who is the highest paid baseball player in the major leagues", "0_output": [["who is the highest paid baseball player in the major leagues", "List of highest-paid Major League Baseball players\n\nAlex Rodriguez has signed two record-breaking contracts over the course of his career. First, he signed a $252 million, 10-year contract with the Texas Rangers in December 2000 ($ inflation-adjusted from 2000 dollars). Sandy Alderson called the deal \"stupefying\", while Sports Illustrated noted that Rodriguez's early salaries under the contract ($21 million) would be greater than the annual payroll of the entire Minnesota Twins team that year ($15.8 million). The deal was the largest sports contract in history, doubling the total value of Kevin Garnett's $126 million National Basketball Association contract (the previous record holder) and more than doubling Mike Hampton's $121 million contract, the previous MLB record which had been signed just days before. The Rangers later traded Rodriguez to the Yankees in exchange for Alfonso Soriano before the 2004 season, though they agreed to pay $67 million of the $179 million outstanding on the contract. Despite this, he opted out of the remainder of his deal after the 2007 season and renegotiated a new $275 million, 10-year agreement with the Yankees, breaking his own record for the largest sports contract. Under this deal, Rodriguez also received $6 million when he tied the career home run total of Willie Mays (660), and would have received $6 million more had he tied Babe Ruth (714), Hank Aaron (755), and Barry Bonds (762), along with another $6 million for breaking Bonds' mark.\nFive of the twenty highest-paid players in 2013 were members of the Yankees. Their team payroll for 2013 was $228,835,490, roughly $12 million above the second-largest Los Angeles Dodgers. The Yankees have drawn criticism for their payroll, with some claiming it undermines the parity of MLB. From 2003-2020, the Yankees' payroll exceeded the luxury tax threshold every year except 2018.\nKey\nHighest annual salaries in 2023\nThis table refers to the salary for 2023 alone, not the overall average value or amount of the contract.\nTop 10 Career earnings through 2023 season\nEarnings up to date as of the end of the 2023 season.\nSalary progression\nThis list documents the progression of the highest average annual value contracts/contract extensions."]], "0_corpus": "wikipedia", "1_conv_id": "0d00c8ed50e543fdb694ea43820cd65d", "1_model_name": "embed-english-v3.0", "1_prompt": "who is the highest paid baseball player in the major leagues", "1_output": [["who is the highest paid baseball player in the major leagues", "List of highest-paid Major League Baseball players\n\nAlex Rodriguez has signed two record-breaking contracts over the course of his career. First, he signed a $252 million, 10-year contract with the Texas Rangers in December 2000 ($ inflation-adjusted from 2000 dollars). Sandy Alderson called the deal \"stupefying\", while Sports Illustrated noted that Rodriguez's early salaries under the contract ($21 million) would be greater than the annual payroll of the entire Minnesota Twins team that year ($15.8 million). The deal was the largest sports contract in history, doubling the total value of Kevin Garnett's $126 million National Basketball Association contract (the previous record holder) and more than doubling Mike Hampton's $121 million contract, the previous MLB record which had been signed just days before. The Rangers later traded Rodriguez to the Yankees in exchange for Alfonso Soriano before the 2004 season, though they agreed to pay $67 million of the $179 million outstanding on the contract. Despite this, he opted out of the remainder of his deal after the 2007 season and renegotiated a new $275 million, 10-year agreement with the Yankees, breaking his own record for the largest sports contract. Under this deal, Rodriguez also received $6 million when he tied the career home run total of Willie Mays (660), and would have received $6 million more had he tied Babe Ruth (714), Hank Aaron (755), and Barry Bonds (762), along with another $6 million for breaking Bonds' mark.\nFive of the twenty highest-paid players in 2013 were members of the Yankees. Their team payroll for 2013 was $228,835,490, roughly $12 million above the second-largest Los Angeles Dodgers. The Yankees have drawn criticism for their payroll, with some claiming it undermines the parity of MLB. From 2003-2020, the Yankees' payroll exceeded the luxury tax threshold every year except 2018.\nKey\nHighest annual salaries in 2023\nThis table refers to the salary for 2023 alone, not the overall average value or amount of the contract.\nTop 10 Career earnings through 2023 season\nEarnings up to date as of the end of the 2023 season.\nSalary progression\nThis list documents the progression of the highest average annual value contracts/contract extensions."]], "1_corpus": "wikipedia"} {"tstamp": 1722466011.571, "task_type": "retrieval", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "111066288c044dde8123b59dc7c3b174", "0_model_name": "sentence-transformers/all-MiniLM-L6-v2", "0_prompt": "who is the highest paid baseball player in the major leagues", "0_output": [["who is the highest paid baseball player in the major leagues", "List of highest-paid Major League Baseball players\n\nMajor League Baseball (MLB) does not have a hard salary cap, instead employing a luxury tax which applies to teams whose total payroll exceeds certain set thresholds for a given season. Free agency did not exist in MLB prior to the end of the reserve clause in the 1970s, allowing owners before that time to wholly dictate the terms of player negotiations and resulting in significantly lower salaries.\nBabe Ruth, widely regarded as one of the greatest baseball players ever, earned an estimated $856,850 ($ inflation-adjusted from 1934 dollars) over his entire playing career. When asked whether he thought he deserved to earn $80,000 a year ($ inflation-adjusted), while the president, Herbert Hoover, had a $75,000 salary, Ruth famously remarked, \"What the hell has Hoover got to do with it? Besides, I had a better year than he did.\"\nPitcher Nolan Ryan was the first player to earn an annual salary above $1 million, signing a $4.5 million, 4-year contract with the Houston Astros in 1979. Kirby Puckett and Rickey Henderson signed the first contracts which paid an average of $3 million a year in November 1989. In 1990, Jose Canseco signed for 5 years and $23.5 million, making him the first player to earn an average of $4 million a year. It wasn't until 2010 when the MLB average salary rose above that same mark."]], "0_corpus": "wikipedia", "1_conv_id": "188ccba203344ebaa48e61d2fb989714", "1_model_name": "voyage-multilingual-2", "1_prompt": "who is the highest paid baseball player in the major leagues", "1_output": [["who is the highest paid baseball player in the major leagues", "List of highest-paid Major League Baseball players\n\nAlex Rodriguez has signed two record-breaking contracts over the course of his career. First, he signed a $252 million, 10-year contract with the Texas Rangers in December 2000 ($ inflation-adjusted from 2000 dollars). Sandy Alderson called the deal \"stupefying\", while Sports Illustrated noted that Rodriguez's early salaries under the contract ($21 million) would be greater than the annual payroll of the entire Minnesota Twins team that year ($15.8 million). The deal was the largest sports contract in history, doubling the total value of Kevin Garnett's $126 million National Basketball Association contract (the previous record holder) and more than doubling Mike Hampton's $121 million contract, the previous MLB record which had been signed just days before. The Rangers later traded Rodriguez to the Yankees in exchange for Alfonso Soriano before the 2004 season, though they agreed to pay $67 million of the $179 million outstanding on the contract. Despite this, he opted out of the remainder of his deal after the 2007 season and renegotiated a new $275 million, 10-year agreement with the Yankees, breaking his own record for the largest sports contract. Under this deal, Rodriguez also received $6 million when he tied the career home run total of Willie Mays (660), and would have received $6 million more had he tied Babe Ruth (714), Hank Aaron (755), and Barry Bonds (762), along with another $6 million for breaking Bonds' mark.\nFive of the twenty highest-paid players in 2013 were members of the Yankees. Their team payroll for 2013 was $228,835,490, roughly $12 million above the second-largest Los Angeles Dodgers. The Yankees have drawn criticism for their payroll, with some claiming it undermines the parity of MLB. From 2003-2020, the Yankees' payroll exceeded the luxury tax threshold every year except 2018.\nKey\nHighest annual salaries in 2023\nThis table refers to the salary for 2023 alone, not the overall average value or amount of the contract.\nTop 10 Career earnings through 2023 season\nEarnings up to date as of the end of the 2023 season.\nSalary progression\nThis list documents the progression of the highest average annual value contracts/contract extensions."]], "1_corpus": "wikipedia"} {"tstamp": 1722466019.7909, "task_type": "retrieval", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "141ac0a7b48b4ab5a70e9e63bf889c50", "0_model_name": "text-embedding-004", "0_prompt": "who is the highest paid baseball player in the major leagues", "0_output": [["who is the highest paid baseball player in the major leagues", "List of highest-paid Major League Baseball players\n\nAlex Rodriguez has signed two record-breaking contracts over the course of his career. First, he signed a $252 million, 10-year contract with the Texas Rangers in December 2000 ($ inflation-adjusted from 2000 dollars). Sandy Alderson called the deal \"stupefying\", while Sports Illustrated noted that Rodriguez's early salaries under the contract ($21 million) would be greater than the annual payroll of the entire Minnesota Twins team that year ($15.8 million). The deal was the largest sports contract in history, doubling the total value of Kevin Garnett's $126 million National Basketball Association contract (the previous record holder) and more than doubling Mike Hampton's $121 million contract, the previous MLB record which had been signed just days before. The Rangers later traded Rodriguez to the Yankees in exchange for Alfonso Soriano before the 2004 season, though they agreed to pay $67 million of the $179 million outstanding on the contract. Despite this, he opted out of the remainder of his deal after the 2007 season and renegotiated a new $275 million, 10-year agreement with the Yankees, breaking his own record for the largest sports contract. Under this deal, Rodriguez also received $6 million when he tied the career home run total of Willie Mays (660), and would have received $6 million more had he tied Babe Ruth (714), Hank Aaron (755), and Barry Bonds (762), along with another $6 million for breaking Bonds' mark.\nFive of the twenty highest-paid players in 2013 were members of the Yankees. Their team payroll for 2013 was $228,835,490, roughly $12 million above the second-largest Los Angeles Dodgers. The Yankees have drawn criticism for their payroll, with some claiming it undermines the parity of MLB. From 2003-2020, the Yankees' payroll exceeded the luxury tax threshold every year except 2018.\nKey\nHighest annual salaries in 2023\nThis table refers to the salary for 2023 alone, not the overall average value or amount of the contract.\nTop 10 Career earnings through 2023 season\nEarnings up to date as of the end of the 2023 season.\nSalary progression\nThis list documents the progression of the highest average annual value contracts/contract extensions."]], "0_corpus": "wikipedia", "1_conv_id": "f832c6ca1ead47799e3188e3dcbfd071", "1_model_name": "jinaai/jina-embeddings-v2-base-en", "1_prompt": "who is the highest paid baseball player in the major leagues", "1_output": [["who is the highest paid baseball player in the major leagues", "List of highest-paid Major League Baseball players\n\nMajor League Baseball (MLB) does not have a hard salary cap, instead employing a luxury tax which applies to teams whose total payroll exceeds certain set thresholds for a given season. Free agency did not exist in MLB prior to the end of the reserve clause in the 1970s, allowing owners before that time to wholly dictate the terms of player negotiations and resulting in significantly lower salaries.\nBabe Ruth, widely regarded as one of the greatest baseball players ever, earned an estimated $856,850 ($ inflation-adjusted from 1934 dollars) over his entire playing career. When asked whether he thought he deserved to earn $80,000 a year ($ inflation-adjusted), while the president, Herbert Hoover, had a $75,000 salary, Ruth famously remarked, \"What the hell has Hoover got to do with it? Besides, I had a better year than he did.\"\nPitcher Nolan Ryan was the first player to earn an annual salary above $1 million, signing a $4.5 million, 4-year contract with the Houston Astros in 1979. Kirby Puckett and Rickey Henderson signed the first contracts which paid an average of $3 million a year in November 1989. In 1990, Jose Canseco signed for 5 years and $23.5 million, making him the first player to earn an average of $4 million a year. It wasn't until 2010 when the MLB average salary rose above that same mark."]], "1_corpus": "wikipedia"} {"tstamp": 1722466030.4076, "task_type": "retrieval", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "85e15c97671443178e213ec9a3759238", "0_model_name": "voyage-multilingual-2", "0_prompt": "who is the highest paid baseball player in the major leagues", "0_output": [["who is the highest paid baseball player in the major leagues", "List of highest-paid Major League Baseball players\n\nAlex Rodriguez has signed two record-breaking contracts over the course of his career. First, he signed a $252 million, 10-year contract with the Texas Rangers in December 2000 ($ inflation-adjusted from 2000 dollars). Sandy Alderson called the deal \"stupefying\", while Sports Illustrated noted that Rodriguez's early salaries under the contract ($21 million) would be greater than the annual payroll of the entire Minnesota Twins team that year ($15.8 million). The deal was the largest sports contract in history, doubling the total value of Kevin Garnett's $126 million National Basketball Association contract (the previous record holder) and more than doubling Mike Hampton's $121 million contract, the previous MLB record which had been signed just days before. The Rangers later traded Rodriguez to the Yankees in exchange for Alfonso Soriano before the 2004 season, though they agreed to pay $67 million of the $179 million outstanding on the contract. Despite this, he opted out of the remainder of his deal after the 2007 season and renegotiated a new $275 million, 10-year agreement with the Yankees, breaking his own record for the largest sports contract. Under this deal, Rodriguez also received $6 million when he tied the career home run total of Willie Mays (660), and would have received $6 million more had he tied Babe Ruth (714), Hank Aaron (755), and Barry Bonds (762), along with another $6 million for breaking Bonds' mark.\nFive of the twenty highest-paid players in 2013 were members of the Yankees. Their team payroll for 2013 was $228,835,490, roughly $12 million above the second-largest Los Angeles Dodgers. The Yankees have drawn criticism for their payroll, with some claiming it undermines the parity of MLB. From 2003-2020, the Yankees' payroll exceeded the luxury tax threshold every year except 2018.\nKey\nHighest annual salaries in 2023\nThis table refers to the salary for 2023 alone, not the overall average value or amount of the contract.\nTop 10 Career earnings through 2023 season\nEarnings up to date as of the end of the 2023 season.\nSalary progression\nThis list documents the progression of the highest average annual value contracts/contract extensions."]], "0_corpus": "wikipedia", "1_conv_id": "a65e6985e00a494cad4b80abbf0070d1", "1_model_name": "jinaai/jina-embeddings-v2-base-en", "1_prompt": "who is the highest paid baseball player in the major leagues", "1_output": [["who is the highest paid baseball player in the major leagues", "List of highest-paid Major League Baseball players\n\nMajor League Baseball (MLB) does not have a hard salary cap, instead employing a luxury tax which applies to teams whose total payroll exceeds certain set thresholds for a given season. Free agency did not exist in MLB prior to the end of the reserve clause in the 1970s, allowing owners before that time to wholly dictate the terms of player negotiations and resulting in significantly lower salaries.\nBabe Ruth, widely regarded as one of the greatest baseball players ever, earned an estimated $856,850 ($ inflation-adjusted from 1934 dollars) over his entire playing career. When asked whether he thought he deserved to earn $80,000 a year ($ inflation-adjusted), while the president, Herbert Hoover, had a $75,000 salary, Ruth famously remarked, \"What the hell has Hoover got to do with it? Besides, I had a better year than he did.\"\nPitcher Nolan Ryan was the first player to earn an annual salary above $1 million, signing a $4.5 million, 4-year contract with the Houston Astros in 1979. Kirby Puckett and Rickey Henderson signed the first contracts which paid an average of $3 million a year in November 1989. In 1990, Jose Canseco signed for 5 years and $23.5 million, making him the first player to earn an average of $4 million a year. It wasn't until 2010 when the MLB average salary rose above that same mark."]], "1_corpus": "wikipedia"} {"tstamp": 1722466044.8376, "task_type": "retrieval", "type": "bothbadvote", "models": ["", ""], "ip": "", "0_conv_id": "b852a5c6499546d1b4492aadd761eeee", "0_model_name": "intfloat/e5-mistral-7b-instruct", "0_prompt": "who is the highest paid baseball player in the major leagues", "0_output": [["who is the highest paid baseball player in the major leagues", "List of highest-paid Major League Baseball players\n\nMajor League Baseball (MLB) does not have a hard salary cap, instead employing a luxury tax which applies to teams whose total payroll exceeds certain set thresholds for a given season. Free agency did not exist in MLB prior to the end of the reserve clause in the 1970s, allowing owners before that time to wholly dictate the terms of player negotiations and resulting in significantly lower salaries.\nBabe Ruth, widely regarded as one of the greatest baseball players ever, earned an estimated $856,850 ($ inflation-adjusted from 1934 dollars) over his entire playing career. When asked whether he thought he deserved to earn $80,000 a year ($ inflation-adjusted), while the president, Herbert Hoover, had a $75,000 salary, Ruth famously remarked, \"What the hell has Hoover got to do with it? Besides, I had a better year than he did.\"\nPitcher Nolan Ryan was the first player to earn an annual salary above $1 million, signing a $4.5 million, 4-year contract with the Houston Astros in 1979. Kirby Puckett and Rickey Henderson signed the first contracts which paid an average of $3 million a year in November 1989. In 1990, Jose Canseco signed for 5 years and $23.5 million, making him the first player to earn an average of $4 million a year. It wasn't until 2010 when the MLB average salary rose above that same mark."]], "0_corpus": "wikipedia", "1_conv_id": "98bcc74e0ca94f7a91d39f8836e7cc48", "1_model_name": "jinaai/jina-embeddings-v2-base-en", "1_prompt": "who is the highest paid baseball player in the major leagues", "1_output": [["who is the highest paid baseball player in the major leagues", "List of highest-paid Major League Baseball players\n\nMajor League Baseball (MLB) does not have a hard salary cap, instead employing a luxury tax which applies to teams whose total payroll exceeds certain set thresholds for a given season. Free agency did not exist in MLB prior to the end of the reserve clause in the 1970s, allowing owners before that time to wholly dictate the terms of player negotiations and resulting in significantly lower salaries.\nBabe Ruth, widely regarded as one of the greatest baseball players ever, earned an estimated $856,850 ($ inflation-adjusted from 1934 dollars) over his entire playing career. When asked whether he thought he deserved to earn $80,000 a year ($ inflation-adjusted), while the president, Herbert Hoover, had a $75,000 salary, Ruth famously remarked, \"What the hell has Hoover got to do with it? Besides, I had a better year than he did.\"\nPitcher Nolan Ryan was the first player to earn an annual salary above $1 million, signing a $4.5 million, 4-year contract with the Houston Astros in 1979. Kirby Puckett and Rickey Henderson signed the first contracts which paid an average of $3 million a year in November 1989. In 1990, Jose Canseco signed for 5 years and $23.5 million, making him the first player to earn an average of $4 million a year. It wasn't until 2010 when the MLB average salary rose above that same mark."]], "1_corpus": "wikipedia"} {"tstamp": 1722466055.7444, "task_type": "retrieval", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "032953f6e1bd46488a49e6336457eabe", "0_model_name": "BM25", "0_prompt": "who is the highest paid baseball player in the major leagues", "0_output": [["who is the highest paid baseball player in the major leagues", "Farm team\n\nBaseball In the United States and Canada, Minor League Baseball teams operate under strict franchise contracts with their major league counterparts. Although the vast majority of such teams are privately owned and are therefore able to switch affiliation, those players under contract with the affiliated Major League Baseball team are under their exclusive control, and would move to the MLB club's new affiliate. Not all players on a minor league team are under contract with the MLB club; however, the parent club has the exclusive right to \"purchase\" the contract of a non-contract player at its affiliate.\nMinor league teams are usually based in smaller cities (although the New York Mets have a low-level minor-league affiliate actually based elsewhere within New York City), and players who are contracted to them, as opposed to major league players sent down to this level for rehabilitation or other professional-development assignments, are typically paid significantly less than their Major League counterparts.\nMost major league players start off their careers by working their way up the minor league system, from the lowest (rookie) to the highest (AAA) classification, with the rare exceptions usually being those players signed from Japan's Nippon Professional Baseball. Since the elimination of the Bonus Rule, only a very small number of amateur players have gone directly into MLB, including John Olerud, Jim Abbott, and Dave Winfield. The process of a player working his way up through the minor leagues is formally referred by most MLB teams as \"player development\". However, minor league affiliates are often informally referred to as \"farm teams\" and a major league player's misfortune of being sent back to the minors is sometimes described as being \"farmed out\"."]], "0_corpus": "wikipedia", "1_conv_id": "b51f6724f9cc4d2d831e8e239df67d99", "1_model_name": "text-embedding-004", "1_prompt": "who is the highest paid baseball player in the major leagues", "1_output": [["who is the highest paid baseball player in the major leagues", "List of highest-paid Major League Baseball players\n\nAlex Rodriguez has signed two record-breaking contracts over the course of his career. First, he signed a $252 million, 10-year contract with the Texas Rangers in December 2000 ($ inflation-adjusted from 2000 dollars). Sandy Alderson called the deal \"stupefying\", while Sports Illustrated noted that Rodriguez's early salaries under the contract ($21 million) would be greater than the annual payroll of the entire Minnesota Twins team that year ($15.8 million). The deal was the largest sports contract in history, doubling the total value of Kevin Garnett's $126 million National Basketball Association contract (the previous record holder) and more than doubling Mike Hampton's $121 million contract, the previous MLB record which had been signed just days before. The Rangers later traded Rodriguez to the Yankees in exchange for Alfonso Soriano before the 2004 season, though they agreed to pay $67 million of the $179 million outstanding on the contract. Despite this, he opted out of the remainder of his deal after the 2007 season and renegotiated a new $275 million, 10-year agreement with the Yankees, breaking his own record for the largest sports contract. Under this deal, Rodriguez also received $6 million when he tied the career home run total of Willie Mays (660), and would have received $6 million more had he tied Babe Ruth (714), Hank Aaron (755), and Barry Bonds (762), along with another $6 million for breaking Bonds' mark.\nFive of the twenty highest-paid players in 2013 were members of the Yankees. Their team payroll for 2013 was $228,835,490, roughly $12 million above the second-largest Los Angeles Dodgers. The Yankees have drawn criticism for their payroll, with some claiming it undermines the parity of MLB. From 2003-2020, the Yankees' payroll exceeded the luxury tax threshold every year except 2018.\nKey\nHighest annual salaries in 2023\nThis table refers to the salary for 2023 alone, not the overall average value or amount of the contract.\nTop 10 Career earnings through 2023 season\nEarnings up to date as of the end of the 2023 season.\nSalary progression\nThis list documents the progression of the highest average annual value contracts/contract extensions."]], "1_corpus": "wikipedia"} {"tstamp": 1722466065.2647, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "fc2f0a03fbb8491288ab8938470ddce0", "0_model_name": "mixedbread-ai/mxbai-embed-large-v1", "0_prompt": "who is the highest paid baseball player in the major leagues", "0_output": [["who is the highest paid baseball player in the major leagues", "List of highest-paid Major League Baseball players\n\nAlex Rodriguez has signed two record-breaking contracts over the course of his career. First, he signed a $252 million, 10-year contract with the Texas Rangers in December 2000 ($ inflation-adjusted from 2000 dollars). Sandy Alderson called the deal \"stupefying\", while Sports Illustrated noted that Rodriguez's early salaries under the contract ($21 million) would be greater than the annual payroll of the entire Minnesota Twins team that year ($15.8 million). The deal was the largest sports contract in history, doubling the total value of Kevin Garnett's $126 million National Basketball Association contract (the previous record holder) and more than doubling Mike Hampton's $121 million contract, the previous MLB record which had been signed just days before. The Rangers later traded Rodriguez to the Yankees in exchange for Alfonso Soriano before the 2004 season, though they agreed to pay $67 million of the $179 million outstanding on the contract. Despite this, he opted out of the remainder of his deal after the 2007 season and renegotiated a new $275 million, 10-year agreement with the Yankees, breaking his own record for the largest sports contract. Under this deal, Rodriguez also received $6 million when he tied the career home run total of Willie Mays (660), and would have received $6 million more had he tied Babe Ruth (714), Hank Aaron (755), and Barry Bonds (762), along with another $6 million for breaking Bonds' mark.\nFive of the twenty highest-paid players in 2013 were members of the Yankees. Their team payroll for 2013 was $228,835,490, roughly $12 million above the second-largest Los Angeles Dodgers. The Yankees have drawn criticism for their payroll, with some claiming it undermines the parity of MLB. From 2003-2020, the Yankees' payroll exceeded the luxury tax threshold every year except 2018.\nKey\nHighest annual salaries in 2023\nThis table refers to the salary for 2023 alone, not the overall average value or amount of the contract.\nTop 10 Career earnings through 2023 season\nEarnings up to date as of the end of the 2023 season.\nSalary progression\nThis list documents the progression of the highest average annual value contracts/contract extensions."]], "0_corpus": "wikipedia", "1_conv_id": "acb8f067e11a48629590472da37b44a3", "1_model_name": "embed-english-v3.0", "1_prompt": "who is the highest paid baseball player in the major leagues", "1_output": [["who is the highest paid baseball player in the major leagues", "List of highest-paid Major League Baseball players\n\nAlex Rodriguez has signed two record-breaking contracts over the course of his career. First, he signed a $252 million, 10-year contract with the Texas Rangers in December 2000 ($ inflation-adjusted from 2000 dollars). Sandy Alderson called the deal \"stupefying\", while Sports Illustrated noted that Rodriguez's early salaries under the contract ($21 million) would be greater than the annual payroll of the entire Minnesota Twins team that year ($15.8 million). The deal was the largest sports contract in history, doubling the total value of Kevin Garnett's $126 million National Basketball Association contract (the previous record holder) and more than doubling Mike Hampton's $121 million contract, the previous MLB record which had been signed just days before. The Rangers later traded Rodriguez to the Yankees in exchange for Alfonso Soriano before the 2004 season, though they agreed to pay $67 million of the $179 million outstanding on the contract. Despite this, he opted out of the remainder of his deal after the 2007 season and renegotiated a new $275 million, 10-year agreement with the Yankees, breaking his own record for the largest sports contract. Under this deal, Rodriguez also received $6 million when he tied the career home run total of Willie Mays (660), and would have received $6 million more had he tied Babe Ruth (714), Hank Aaron (755), and Barry Bonds (762), along with another $6 million for breaking Bonds' mark.\nFive of the twenty highest-paid players in 2013 were members of the Yankees. Their team payroll for 2013 was $228,835,490, roughly $12 million above the second-largest Los Angeles Dodgers. The Yankees have drawn criticism for their payroll, with some claiming it undermines the parity of MLB. From 2003-2020, the Yankees' payroll exceeded the luxury tax threshold every year except 2018.\nKey\nHighest annual salaries in 2023\nThis table refers to the salary for 2023 alone, not the overall average value or amount of the contract.\nTop 10 Career earnings through 2023 season\nEarnings up to date as of the end of the 2023 season.\nSalary progression\nThis list documents the progression of the highest average annual value contracts/contract extensions."]], "1_corpus": "wikipedia"} {"tstamp": 1722466079.4472, "task_type": "retrieval", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "cf085a4cb2b842de8421ae191020837b", "0_model_name": "jinaai/jina-embeddings-v2-base-en", "0_prompt": "who is the highest paid baseball player in the major leagues", "0_output": [["who is the highest paid baseball player in the major leagues", "List of highest-paid Major League Baseball players\n\nMajor League Baseball (MLB) does not have a hard salary cap, instead employing a luxury tax which applies to teams whose total payroll exceeds certain set thresholds for a given season. Free agency did not exist in MLB prior to the end of the reserve clause in the 1970s, allowing owners before that time to wholly dictate the terms of player negotiations and resulting in significantly lower salaries.\nBabe Ruth, widely regarded as one of the greatest baseball players ever, earned an estimated $856,850 ($ inflation-adjusted from 1934 dollars) over his entire playing career. When asked whether he thought he deserved to earn $80,000 a year ($ inflation-adjusted), while the president, Herbert Hoover, had a $75,000 salary, Ruth famously remarked, \"What the hell has Hoover got to do with it? Besides, I had a better year than he did.\"\nPitcher Nolan Ryan was the first player to earn an annual salary above $1 million, signing a $4.5 million, 4-year contract with the Houston Astros in 1979. Kirby Puckett and Rickey Henderson signed the first contracts which paid an average of $3 million a year in November 1989. In 1990, Jose Canseco signed for 5 years and $23.5 million, making him the first player to earn an average of $4 million a year. It wasn't until 2010 when the MLB average salary rose above that same mark."]], "0_corpus": "wikipedia", "1_conv_id": "473b20eb57c54927b6ce5145b6447f95", "1_model_name": "BAAI/bge-large-en-v1.5", "1_prompt": "who is the highest paid baseball player in the major leagues", "1_output": [["who is the highest paid baseball player in the major leagues", "List of highest-paid Major League Baseball players\n\nAlex Rodriguez has signed two record-breaking contracts over the course of his career. First, he signed a $252 million, 10-year contract with the Texas Rangers in December 2000 ($ inflation-adjusted from 2000 dollars). Sandy Alderson called the deal \"stupefying\", while Sports Illustrated noted that Rodriguez's early salaries under the contract ($21 million) would be greater than the annual payroll of the entire Minnesota Twins team that year ($15.8 million). The deal was the largest sports contract in history, doubling the total value of Kevin Garnett's $126 million National Basketball Association contract (the previous record holder) and more than doubling Mike Hampton's $121 million contract, the previous MLB record which had been signed just days before. The Rangers later traded Rodriguez to the Yankees in exchange for Alfonso Soriano before the 2004 season, though they agreed to pay $67 million of the $179 million outstanding on the contract. Despite this, he opted out of the remainder of his deal after the 2007 season and renegotiated a new $275 million, 10-year agreement with the Yankees, breaking his own record for the largest sports contract. Under this deal, Rodriguez also received $6 million when he tied the career home run total of Willie Mays (660), and would have received $6 million more had he tied Babe Ruth (714), Hank Aaron (755), and Barry Bonds (762), along with another $6 million for breaking Bonds' mark.\nFive of the twenty highest-paid players in 2013 were members of the Yankees. Their team payroll for 2013 was $228,835,490, roughly $12 million above the second-largest Los Angeles Dodgers. The Yankees have drawn criticism for their payroll, with some claiming it undermines the parity of MLB. From 2003-2020, the Yankees' payroll exceeded the luxury tax threshold every year except 2018.\nKey\nHighest annual salaries in 2023\nThis table refers to the salary for 2023 alone, not the overall average value or amount of the contract.\nTop 10 Career earnings through 2023 season\nEarnings up to date as of the end of the 2023 season.\nSalary progression\nThis list documents the progression of the highest average annual value contracts/contract extensions."]], "1_corpus": "wikipedia"} {"tstamp": 1722466087.6164, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "5f4664d4081a423095c9d3f2bbe86c6d", "0_model_name": "BAAI/bge-large-en-v1.5", "0_prompt": "who is the highest paid baseball player in the major leagues", "0_output": [["who is the highest paid baseball player in the major leagues", "List of highest-paid Major League Baseball players\n\nAlex Rodriguez has signed two record-breaking contracts over the course of his career. First, he signed a $252 million, 10-year contract with the Texas Rangers in December 2000 ($ inflation-adjusted from 2000 dollars). Sandy Alderson called the deal \"stupefying\", while Sports Illustrated noted that Rodriguez's early salaries under the contract ($21 million) would be greater than the annual payroll of the entire Minnesota Twins team that year ($15.8 million). The deal was the largest sports contract in history, doubling the total value of Kevin Garnett's $126 million National Basketball Association contract (the previous record holder) and more than doubling Mike Hampton's $121 million contract, the previous MLB record which had been signed just days before. The Rangers later traded Rodriguez to the Yankees in exchange for Alfonso Soriano before the 2004 season, though they agreed to pay $67 million of the $179 million outstanding on the contract. Despite this, he opted out of the remainder of his deal after the 2007 season and renegotiated a new $275 million, 10-year agreement with the Yankees, breaking his own record for the largest sports contract. Under this deal, Rodriguez also received $6 million when he tied the career home run total of Willie Mays (660), and would have received $6 million more had he tied Babe Ruth (714), Hank Aaron (755), and Barry Bonds (762), along with another $6 million for breaking Bonds' mark.\nFive of the twenty highest-paid players in 2013 were members of the Yankees. Their team payroll for 2013 was $228,835,490, roughly $12 million above the second-largest Los Angeles Dodgers. The Yankees have drawn criticism for their payroll, with some claiming it undermines the parity of MLB. From 2003-2020, the Yankees' payroll exceeded the luxury tax threshold every year except 2018.\nKey\nHighest annual salaries in 2023\nThis table refers to the salary for 2023 alone, not the overall average value or amount of the contract.\nTop 10 Career earnings through 2023 season\nEarnings up to date as of the end of the 2023 season.\nSalary progression\nThis list documents the progression of the highest average annual value contracts/contract extensions."]], "0_corpus": "wikipedia", "1_conv_id": "0d132d3e032c40b887091a11015bce23", "1_model_name": "mixedbread-ai/mxbai-embed-large-v1", "1_prompt": "who is the highest paid baseball player in the major leagues", "1_output": [["who is the highest paid baseball player in the major leagues", "List of highest-paid Major League Baseball players\n\nAlex Rodriguez has signed two record-breaking contracts over the course of his career. First, he signed a $252 million, 10-year contract with the Texas Rangers in December 2000 ($ inflation-adjusted from 2000 dollars). Sandy Alderson called the deal \"stupefying\", while Sports Illustrated noted that Rodriguez's early salaries under the contract ($21 million) would be greater than the annual payroll of the entire Minnesota Twins team that year ($15.8 million). The deal was the largest sports contract in history, doubling the total value of Kevin Garnett's $126 million National Basketball Association contract (the previous record holder) and more than doubling Mike Hampton's $121 million contract, the previous MLB record which had been signed just days before. The Rangers later traded Rodriguez to the Yankees in exchange for Alfonso Soriano before the 2004 season, though they agreed to pay $67 million of the $179 million outstanding on the contract. Despite this, he opted out of the remainder of his deal after the 2007 season and renegotiated a new $275 million, 10-year agreement with the Yankees, breaking his own record for the largest sports contract. Under this deal, Rodriguez also received $6 million when he tied the career home run total of Willie Mays (660), and would have received $6 million more had he tied Babe Ruth (714), Hank Aaron (755), and Barry Bonds (762), along with another $6 million for breaking Bonds' mark.\nFive of the twenty highest-paid players in 2013 were members of the Yankees. Their team payroll for 2013 was $228,835,490, roughly $12 million above the second-largest Los Angeles Dodgers. The Yankees have drawn criticism for their payroll, with some claiming it undermines the parity of MLB. From 2003-2020, the Yankees' payroll exceeded the luxury tax threshold every year except 2018.\nKey\nHighest annual salaries in 2023\nThis table refers to the salary for 2023 alone, not the overall average value or amount of the contract.\nTop 10 Career earnings through 2023 season\nEarnings up to date as of the end of the 2023 season.\nSalary progression\nThis list documents the progression of the highest average annual value contracts/contract extensions."]], "1_corpus": "wikipedia"} {"tstamp": 1722466096.0843, "task_type": "retrieval", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "44642285839243378ec873badff3d60c", "0_model_name": "BAAI/bge-large-en-v1.5", "0_prompt": "who is the highest paid baseball player in the major leagues", "0_output": [["who is the highest paid baseball player in the major leagues", "List of highest-paid Major League Baseball players\n\nAlex Rodriguez has signed two record-breaking contracts over the course of his career. First, he signed a $252 million, 10-year contract with the Texas Rangers in December 2000 ($ inflation-adjusted from 2000 dollars). Sandy Alderson called the deal \"stupefying\", while Sports Illustrated noted that Rodriguez's early salaries under the contract ($21 million) would be greater than the annual payroll of the entire Minnesota Twins team that year ($15.8 million). The deal was the largest sports contract in history, doubling the total value of Kevin Garnett's $126 million National Basketball Association contract (the previous record holder) and more than doubling Mike Hampton's $121 million contract, the previous MLB record which had been signed just days before. The Rangers later traded Rodriguez to the Yankees in exchange for Alfonso Soriano before the 2004 season, though they agreed to pay $67 million of the $179 million outstanding on the contract. Despite this, he opted out of the remainder of his deal after the 2007 season and renegotiated a new $275 million, 10-year agreement with the Yankees, breaking his own record for the largest sports contract. Under this deal, Rodriguez also received $6 million when he tied the career home run total of Willie Mays (660), and would have received $6 million more had he tied Babe Ruth (714), Hank Aaron (755), and Barry Bonds (762), along with another $6 million for breaking Bonds' mark.\nFive of the twenty highest-paid players in 2013 were members of the Yankees. Their team payroll for 2013 was $228,835,490, roughly $12 million above the second-largest Los Angeles Dodgers. The Yankees have drawn criticism for their payroll, with some claiming it undermines the parity of MLB. From 2003-2020, the Yankees' payroll exceeded the luxury tax threshold every year except 2018.\nKey\nHighest annual salaries in 2023\nThis table refers to the salary for 2023 alone, not the overall average value or amount of the contract.\nTop 10 Career earnings through 2023 season\nEarnings up to date as of the end of the 2023 season.\nSalary progression\nThis list documents the progression of the highest average annual value contracts/contract extensions."]], "0_corpus": "wikipedia", "1_conv_id": "e08c04106ecd42d9bc3b89c51042e94d", "1_model_name": "text-embedding-3-large", "1_prompt": "who is the highest paid baseball player in the major leagues", "1_output": [["who is the highest paid baseball player in the major leagues", "List of highest-paid Major League Baseball players\n\nMajor League Baseball (MLB) does not have a hard salary cap, instead employing a luxury tax which applies to teams whose total payroll exceeds certain set thresholds for a given season. Free agency did not exist in MLB prior to the end of the reserve clause in the 1970s, allowing owners before that time to wholly dictate the terms of player negotiations and resulting in significantly lower salaries.\nBabe Ruth, widely regarded as one of the greatest baseball players ever, earned an estimated $856,850 ($ inflation-adjusted from 1934 dollars) over his entire playing career. When asked whether he thought he deserved to earn $80,000 a year ($ inflation-adjusted), while the president, Herbert Hoover, had a $75,000 salary, Ruth famously remarked, \"What the hell has Hoover got to do with it? Besides, I had a better year than he did.\"\nPitcher Nolan Ryan was the first player to earn an annual salary above $1 million, signing a $4.5 million, 4-year contract with the Houston Astros in 1979. Kirby Puckett and Rickey Henderson signed the first contracts which paid an average of $3 million a year in November 1989. In 1990, Jose Canseco signed for 5 years and $23.5 million, making him the first player to earn an average of $4 million a year. It wasn't until 2010 when the MLB average salary rose above that same mark."]], "1_corpus": "wikipedia"} {"tstamp": 1722466104.9979, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "5dcc95b1c77941b09228570ed79bc39c", "0_model_name": "mixedbread-ai/mxbai-embed-large-v1", "0_prompt": "who is the highest paid baseball player in the major leagues", "0_output": [["who is the highest paid baseball player in the major leagues", "List of highest-paid Major League Baseball players\n\nAlex Rodriguez has signed two record-breaking contracts over the course of his career. First, he signed a $252 million, 10-year contract with the Texas Rangers in December 2000 ($ inflation-adjusted from 2000 dollars). Sandy Alderson called the deal \"stupefying\", while Sports Illustrated noted that Rodriguez's early salaries under the contract ($21 million) would be greater than the annual payroll of the entire Minnesota Twins team that year ($15.8 million). The deal was the largest sports contract in history, doubling the total value of Kevin Garnett's $126 million National Basketball Association contract (the previous record holder) and more than doubling Mike Hampton's $121 million contract, the previous MLB record which had been signed just days before. The Rangers later traded Rodriguez to the Yankees in exchange for Alfonso Soriano before the 2004 season, though they agreed to pay $67 million of the $179 million outstanding on the contract. Despite this, he opted out of the remainder of his deal after the 2007 season and renegotiated a new $275 million, 10-year agreement with the Yankees, breaking his own record for the largest sports contract. Under this deal, Rodriguez also received $6 million when he tied the career home run total of Willie Mays (660), and would have received $6 million more had he tied Babe Ruth (714), Hank Aaron (755), and Barry Bonds (762), along with another $6 million for breaking Bonds' mark.\nFive of the twenty highest-paid players in 2013 were members of the Yankees. Their team payroll for 2013 was $228,835,490, roughly $12 million above the second-largest Los Angeles Dodgers. The Yankees have drawn criticism for their payroll, with some claiming it undermines the parity of MLB. From 2003-2020, the Yankees' payroll exceeded the luxury tax threshold every year except 2018.\nKey\nHighest annual salaries in 2023\nThis table refers to the salary for 2023 alone, not the overall average value or amount of the contract.\nTop 10 Career earnings through 2023 season\nEarnings up to date as of the end of the 2023 season.\nSalary progression\nThis list documents the progression of the highest average annual value contracts/contract extensions."]], "0_corpus": "wikipedia", "1_conv_id": "4e4bf81490c3412abeda80df9f045a0b", "1_model_name": "BAAI/bge-large-en-v1.5", "1_prompt": "who is the highest paid baseball player in the major leagues", "1_output": [["who is the highest paid baseball player in the major leagues", "List of highest-paid Major League Baseball players\n\nAlex Rodriguez has signed two record-breaking contracts over the course of his career. First, he signed a $252 million, 10-year contract with the Texas Rangers in December 2000 ($ inflation-adjusted from 2000 dollars). Sandy Alderson called the deal \"stupefying\", while Sports Illustrated noted that Rodriguez's early salaries under the contract ($21 million) would be greater than the annual payroll of the entire Minnesota Twins team that year ($15.8 million). The deal was the largest sports contract in history, doubling the total value of Kevin Garnett's $126 million National Basketball Association contract (the previous record holder) and more than doubling Mike Hampton's $121 million contract, the previous MLB record which had been signed just days before. The Rangers later traded Rodriguez to the Yankees in exchange for Alfonso Soriano before the 2004 season, though they agreed to pay $67 million of the $179 million outstanding on the contract. Despite this, he opted out of the remainder of his deal after the 2007 season and renegotiated a new $275 million, 10-year agreement with the Yankees, breaking his own record for the largest sports contract. Under this deal, Rodriguez also received $6 million when he tied the career home run total of Willie Mays (660), and would have received $6 million more had he tied Babe Ruth (714), Hank Aaron (755), and Barry Bonds (762), along with another $6 million for breaking Bonds' mark.\nFive of the twenty highest-paid players in 2013 were members of the Yankees. Their team payroll for 2013 was $228,835,490, roughly $12 million above the second-largest Los Angeles Dodgers. The Yankees have drawn criticism for their payroll, with some claiming it undermines the parity of MLB. From 2003-2020, the Yankees' payroll exceeded the luxury tax threshold every year except 2018.\nKey\nHighest annual salaries in 2023\nThis table refers to the salary for 2023 alone, not the overall average value or amount of the contract.\nTop 10 Career earnings through 2023 season\nEarnings up to date as of the end of the 2023 season.\nSalary progression\nThis list documents the progression of the highest average annual value contracts/contract extensions."]], "1_corpus": "wikipedia"} {"tstamp": 1722466119.621, "task_type": "retrieval", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "2a61f102be614e23a4a090daa3b11310", "0_model_name": "text-embedding-004", "0_prompt": "who is the highest paid baseball player in the major leagues", "0_output": [["who is the highest paid baseball player in the major leagues", "List of highest-paid Major League Baseball players\n\nAlex Rodriguez has signed two record-breaking contracts over the course of his career. First, he signed a $252 million, 10-year contract with the Texas Rangers in December 2000 ($ inflation-adjusted from 2000 dollars). Sandy Alderson called the deal \"stupefying\", while Sports Illustrated noted that Rodriguez's early salaries under the contract ($21 million) would be greater than the annual payroll of the entire Minnesota Twins team that year ($15.8 million). The deal was the largest sports contract in history, doubling the total value of Kevin Garnett's $126 million National Basketball Association contract (the previous record holder) and more than doubling Mike Hampton's $121 million contract, the previous MLB record which had been signed just days before. The Rangers later traded Rodriguez to the Yankees in exchange for Alfonso Soriano before the 2004 season, though they agreed to pay $67 million of the $179 million outstanding on the contract. Despite this, he opted out of the remainder of his deal after the 2007 season and renegotiated a new $275 million, 10-year agreement with the Yankees, breaking his own record for the largest sports contract. Under this deal, Rodriguez also received $6 million when he tied the career home run total of Willie Mays (660), and would have received $6 million more had he tied Babe Ruth (714), Hank Aaron (755), and Barry Bonds (762), along with another $6 million for breaking Bonds' mark.\nFive of the twenty highest-paid players in 2013 were members of the Yankees. Their team payroll for 2013 was $228,835,490, roughly $12 million above the second-largest Los Angeles Dodgers. The Yankees have drawn criticism for their payroll, with some claiming it undermines the parity of MLB. From 2003-2020, the Yankees' payroll exceeded the luxury tax threshold every year except 2018.\nKey\nHighest annual salaries in 2023\nThis table refers to the salary for 2023 alone, not the overall average value or amount of the contract.\nTop 10 Career earnings through 2023 season\nEarnings up to date as of the end of the 2023 season.\nSalary progression\nThis list documents the progression of the highest average annual value contracts/contract extensions."]], "0_corpus": "wikipedia", "1_conv_id": "2bd1f2359fd640fc9ab7b66a7501ff69", "1_model_name": "nomic-ai/nomic-embed-text-v1.5", "1_prompt": "who is the highest paid baseball player in the major leagues", "1_output": [["who is the highest paid baseball player in the major leagues", "List of highest-paid Major League Baseball players\n\nMajor League Baseball (MLB) does not have a hard salary cap, instead employing a luxury tax which applies to teams whose total payroll exceeds certain set thresholds for a given season. Free agency did not exist in MLB prior to the end of the reserve clause in the 1970s, allowing owners before that time to wholly dictate the terms of player negotiations and resulting in significantly lower salaries.\nBabe Ruth, widely regarded as one of the greatest baseball players ever, earned an estimated $856,850 ($ inflation-adjusted from 1934 dollars) over his entire playing career. When asked whether he thought he deserved to earn $80,000 a year ($ inflation-adjusted), while the president, Herbert Hoover, had a $75,000 salary, Ruth famously remarked, \"What the hell has Hoover got to do with it? Besides, I had a better year than he did.\"\nPitcher Nolan Ryan was the first player to earn an annual salary above $1 million, signing a $4.5 million, 4-year contract with the Houston Astros in 1979. Kirby Puckett and Rickey Henderson signed the first contracts which paid an average of $3 million a year in November 1989. In 1990, Jose Canseco signed for 5 years and $23.5 million, making him the first player to earn an average of $4 million a year. It wasn't until 2010 when the MLB average salary rose above that same mark."]], "1_corpus": "wikipedia"} {"tstamp": 1722466134.8032, "task_type": "retrieval", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "2d4fb120669b4370b189aa625ebb7cec", "0_model_name": "voyage-multilingual-2", "0_prompt": "who is the highest paid baseball player in the major leagues", "0_output": [["who is the highest paid baseball player in the major leagues", "List of highest-paid Major League Baseball players\n\nAlex Rodriguez has signed two record-breaking contracts over the course of his career. First, he signed a $252 million, 10-year contract with the Texas Rangers in December 2000 ($ inflation-adjusted from 2000 dollars). Sandy Alderson called the deal \"stupefying\", while Sports Illustrated noted that Rodriguez's early salaries under the contract ($21 million) would be greater than the annual payroll of the entire Minnesota Twins team that year ($15.8 million). The deal was the largest sports contract in history, doubling the total value of Kevin Garnett's $126 million National Basketball Association contract (the previous record holder) and more than doubling Mike Hampton's $121 million contract, the previous MLB record which had been signed just days before. The Rangers later traded Rodriguez to the Yankees in exchange for Alfonso Soriano before the 2004 season, though they agreed to pay $67 million of the $179 million outstanding on the contract. Despite this, he opted out of the remainder of his deal after the 2007 season and renegotiated a new $275 million, 10-year agreement with the Yankees, breaking his own record for the largest sports contract. Under this deal, Rodriguez also received $6 million when he tied the career home run total of Willie Mays (660), and would have received $6 million more had he tied Babe Ruth (714), Hank Aaron (755), and Barry Bonds (762), along with another $6 million for breaking Bonds' mark.\nFive of the twenty highest-paid players in 2013 were members of the Yankees. Their team payroll for 2013 was $228,835,490, roughly $12 million above the second-largest Los Angeles Dodgers. The Yankees have drawn criticism for their payroll, with some claiming it undermines the parity of MLB. From 2003-2020, the Yankees' payroll exceeded the luxury tax threshold every year except 2018.\nKey\nHighest annual salaries in 2023\nThis table refers to the salary for 2023 alone, not the overall average value or amount of the contract.\nTop 10 Career earnings through 2023 season\nEarnings up to date as of the end of the 2023 season.\nSalary progression\nThis list documents the progression of the highest average annual value contracts/contract extensions."]], "0_corpus": "wikipedia", "1_conv_id": "abc670240e8246c4b8fe683b99beeea8", "1_model_name": "GritLM/GritLM-7B", "1_prompt": "who is the highest paid baseball player in the major leagues", "1_output": [["who is the highest paid baseball player in the major leagues", "Casey Close\n\nSports agent In 1992, Close became associated with IMG as part of its baseball division. In 1993, he began representing Derek Jeter and has been Jeter's agent throughout his Major League career. In 2006, Close left IMG and joined Creative Artists Agency (CAA). In January 2007, after winning the 2006 National League MVP award, Ryan Howard hired Close as his agent. Other baseball players who currently are or had been represented by Close include Clayton Kershaw, Zack Greinke, Derrek Lee, Ben Sheets, Michael Cuddyer, Josh Hamilton, Eric Milton, Kenny Lofton and Richie Sexson. Some of the larger deals negotiated by Close for his clients include: a five-year, $125 million contract extension for Ryan Howard in 2010; a 10-year, $189 million deal for Jeter in 2000 (at the time the second richest contract in baseball history); a three-year $51 million deal for Jeter in December 2010; a five-year $65 million deal for Derrek Lee in 2006; a one-year $10 million contract (with $2 million in performance bonuses) for Ben Sheets in 2010; and a six-year $17 million deal for Drew Henson in 2000.\nIn February 2011, Close announced he was leaving CAA. In April 2011, it was announced he would be starting and heading the baseball division of Excel Sports Management. In 2012, Close negotiated the largest contract for a pitcher at the time for Zack Greinke, worth $147 million over six years for the Los Angeles Dodgers. In December 2013, it was announced Close would represent Japanese pitcher Masahiro Tanaka.\nIn March 2022, Close negotiated a $162 million contract for first baseman Freddie Freeman with the Los Angeles Dodgers. In July 2022, Close filed a libel lawsuit against Fox Sports radio host Doug Gottlieb, who had claimed that Close did not present an offer from the Atlanta Braves to Freeman.\nFamily\nClose is married to Gretchen Carlson, who was selected as Miss America in 1989 and was the anchor of The Real Story with Gretchen Carlson, on the Fox News Channel. Close and Carlson live in Greenwich, Connecticut with their two children.\nClose is a Presbyterian and teaches Sunday school with his wife."]], "1_corpus": "wikipedia"} {"tstamp": 1722466143.4218, "task_type": "retrieval", "type": "bothbadvote", "models": ["", ""], "ip": "", "0_conv_id": "0206dc58a6704446847681425920dd9f", "0_model_name": "nomic-ai/nomic-embed-text-v1.5", "0_prompt": "who is the highest paid baseball player in the major leagues", "0_output": [["who is the highest paid baseball player in the major leagues", "List of highest-paid Major League Baseball players\n\nMajor League Baseball (MLB) does not have a hard salary cap, instead employing a luxury tax which applies to teams whose total payroll exceeds certain set thresholds for a given season. Free agency did not exist in MLB prior to the end of the reserve clause in the 1970s, allowing owners before that time to wholly dictate the terms of player negotiations and resulting in significantly lower salaries.\nBabe Ruth, widely regarded as one of the greatest baseball players ever, earned an estimated $856,850 ($ inflation-adjusted from 1934 dollars) over his entire playing career. When asked whether he thought he deserved to earn $80,000 a year ($ inflation-adjusted), while the president, Herbert Hoover, had a $75,000 salary, Ruth famously remarked, \"What the hell has Hoover got to do with it? Besides, I had a better year than he did.\"\nPitcher Nolan Ryan was the first player to earn an annual salary above $1 million, signing a $4.5 million, 4-year contract with the Houston Astros in 1979. Kirby Puckett and Rickey Henderson signed the first contracts which paid an average of $3 million a year in November 1989. In 1990, Jose Canseco signed for 5 years and $23.5 million, making him the first player to earn an average of $4 million a year. It wasn't until 2010 when the MLB average salary rose above that same mark."]], "0_corpus": "wikipedia", "1_conv_id": "41291d1ec9ae4c19a37bc8cbaa3ccd75", "1_model_name": "BM25", "1_prompt": "who is the highest paid baseball player in the major leagues", "1_output": [["who is the highest paid baseball player in the major leagues", "Farm team\n\nBaseball In the United States and Canada, Minor League Baseball teams operate under strict franchise contracts with their major league counterparts. Although the vast majority of such teams are privately owned and are therefore able to switch affiliation, those players under contract with the affiliated Major League Baseball team are under their exclusive control, and would move to the MLB club's new affiliate. Not all players on a minor league team are under contract with the MLB club; however, the parent club has the exclusive right to \"purchase\" the contract of a non-contract player at its affiliate.\nMinor league teams are usually based in smaller cities (although the New York Mets have a low-level minor-league affiliate actually based elsewhere within New York City), and players who are contracted to them, as opposed to major league players sent down to this level for rehabilitation or other professional-development assignments, are typically paid significantly less than their Major League counterparts.\nMost major league players start off their careers by working their way up the minor league system, from the lowest (rookie) to the highest (AAA) classification, with the rare exceptions usually being those players signed from Japan's Nippon Professional Baseball. Since the elimination of the Bonus Rule, only a very small number of amateur players have gone directly into MLB, including John Olerud, Jim Abbott, and Dave Winfield. The process of a player working his way up through the minor leagues is formally referred by most MLB teams as \"player development\". However, minor league affiliates are often informally referred to as \"farm teams\" and a major league player's misfortune of being sent back to the minors is sometimes described as being \"farmed out\"."]], "1_corpus": "wikipedia"} {"tstamp": 1722466152.4918, "task_type": "retrieval", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "4e947e0d4088411391b9751f2171c430", "0_model_name": "voyage-multilingual-2", "0_prompt": "who is the highest paid baseball player in the major leagues", "0_output": [["who is the highest paid baseball player in the major leagues", "List of highest-paid Major League Baseball players\n\nAlex Rodriguez has signed two record-breaking contracts over the course of his career. First, he signed a $252 million, 10-year contract with the Texas Rangers in December 2000 ($ inflation-adjusted from 2000 dollars). Sandy Alderson called the deal \"stupefying\", while Sports Illustrated noted that Rodriguez's early salaries under the contract ($21 million) would be greater than the annual payroll of the entire Minnesota Twins team that year ($15.8 million). The deal was the largest sports contract in history, doubling the total value of Kevin Garnett's $126 million National Basketball Association contract (the previous record holder) and more than doubling Mike Hampton's $121 million contract, the previous MLB record which had been signed just days before. The Rangers later traded Rodriguez to the Yankees in exchange for Alfonso Soriano before the 2004 season, though they agreed to pay $67 million of the $179 million outstanding on the contract. Despite this, he opted out of the remainder of his deal after the 2007 season and renegotiated a new $275 million, 10-year agreement with the Yankees, breaking his own record for the largest sports contract. Under this deal, Rodriguez also received $6 million when he tied the career home run total of Willie Mays (660), and would have received $6 million more had he tied Babe Ruth (714), Hank Aaron (755), and Barry Bonds (762), along with another $6 million for breaking Bonds' mark.\nFive of the twenty highest-paid players in 2013 were members of the Yankees. Their team payroll for 2013 was $228,835,490, roughly $12 million above the second-largest Los Angeles Dodgers. The Yankees have drawn criticism for their payroll, with some claiming it undermines the parity of MLB. From 2003-2020, the Yankees' payroll exceeded the luxury tax threshold every year except 2018.\nKey\nHighest annual salaries in 2023\nThis table refers to the salary for 2023 alone, not the overall average value or amount of the contract.\nTop 10 Career earnings through 2023 season\nEarnings up to date as of the end of the 2023 season.\nSalary progression\nThis list documents the progression of the highest average annual value contracts/contract extensions."]], "0_corpus": "wikipedia", "1_conv_id": "b8d90895760c41b0ba4e513f0998bfc1", "1_model_name": "sentence-transformers/all-MiniLM-L6-v2", "1_prompt": "who is the highest paid baseball player in the major leagues", "1_output": [["who is the highest paid baseball player in the major leagues", "List of highest-paid Major League Baseball players\n\nMajor League Baseball (MLB) does not have a hard salary cap, instead employing a luxury tax which applies to teams whose total payroll exceeds certain set thresholds for a given season. Free agency did not exist in MLB prior to the end of the reserve clause in the 1970s, allowing owners before that time to wholly dictate the terms of player negotiations and resulting in significantly lower salaries.\nBabe Ruth, widely regarded as one of the greatest baseball players ever, earned an estimated $856,850 ($ inflation-adjusted from 1934 dollars) over his entire playing career. When asked whether he thought he deserved to earn $80,000 a year ($ inflation-adjusted), while the president, Herbert Hoover, had a $75,000 salary, Ruth famously remarked, \"What the hell has Hoover got to do with it? Besides, I had a better year than he did.\"\nPitcher Nolan Ryan was the first player to earn an annual salary above $1 million, signing a $4.5 million, 4-year contract with the Houston Astros in 1979. Kirby Puckett and Rickey Henderson signed the first contracts which paid an average of $3 million a year in November 1989. In 1990, Jose Canseco signed for 5 years and $23.5 million, making him the first player to earn an average of $4 million a year. It wasn't until 2010 when the MLB average salary rose above that same mark."]], "1_corpus": "wikipedia"} {"tstamp": 1722466163.9678, "task_type": "retrieval", "type": "bothbadvote", "models": ["", ""], "ip": "", "0_conv_id": "a27a221845874b4da9d0c2fd8623a654", "0_model_name": "BM25", "0_prompt": "who is the highest paid baseball player in the major leagues", "0_output": [["who is the highest paid baseball player in the major leagues", "Farm team\n\nBaseball In the United States and Canada, Minor League Baseball teams operate under strict franchise contracts with their major league counterparts. Although the vast majority of such teams are privately owned and are therefore able to switch affiliation, those players under contract with the affiliated Major League Baseball team are under their exclusive control, and would move to the MLB club's new affiliate. Not all players on a minor league team are under contract with the MLB club; however, the parent club has the exclusive right to \"purchase\" the contract of a non-contract player at its affiliate.\nMinor league teams are usually based in smaller cities (although the New York Mets have a low-level minor-league affiliate actually based elsewhere within New York City), and players who are contracted to them, as opposed to major league players sent down to this level for rehabilitation or other professional-development assignments, are typically paid significantly less than their Major League counterparts.\nMost major league players start off their careers by working their way up the minor league system, from the lowest (rookie) to the highest (AAA) classification, with the rare exceptions usually being those players signed from Japan's Nippon Professional Baseball. Since the elimination of the Bonus Rule, only a very small number of amateur players have gone directly into MLB, including John Olerud, Jim Abbott, and Dave Winfield. The process of a player working his way up through the minor leagues is formally referred by most MLB teams as \"player development\". However, minor league affiliates are often informally referred to as \"farm teams\" and a major league player's misfortune of being sent back to the minors is sometimes described as being \"farmed out\"."]], "0_corpus": "wikipedia", "1_conv_id": "389d134a6c934c26bbe207018749646c", "1_model_name": "sentence-transformers/all-MiniLM-L6-v2", "1_prompt": "who is the highest paid baseball player in the major leagues", "1_output": [["who is the highest paid baseball player in the major leagues", "List of highest-paid Major League Baseball players\n\nMajor League Baseball (MLB) does not have a hard salary cap, instead employing a luxury tax which applies to teams whose total payroll exceeds certain set thresholds for a given season. Free agency did not exist in MLB prior to the end of the reserve clause in the 1970s, allowing owners before that time to wholly dictate the terms of player negotiations and resulting in significantly lower salaries.\nBabe Ruth, widely regarded as one of the greatest baseball players ever, earned an estimated $856,850 ($ inflation-adjusted from 1934 dollars) over his entire playing career. When asked whether he thought he deserved to earn $80,000 a year ($ inflation-adjusted), while the president, Herbert Hoover, had a $75,000 salary, Ruth famously remarked, \"What the hell has Hoover got to do with it? Besides, I had a better year than he did.\"\nPitcher Nolan Ryan was the first player to earn an annual salary above $1 million, signing a $4.5 million, 4-year contract with the Houston Astros in 1979. Kirby Puckett and Rickey Henderson signed the first contracts which paid an average of $3 million a year in November 1989. In 1990, Jose Canseco signed for 5 years and $23.5 million, making him the first player to earn an average of $4 million a year. It wasn't until 2010 when the MLB average salary rose above that same mark."]], "1_corpus": "wikipedia"} {"tstamp": 1722466176.6442, "task_type": "retrieval", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "a34cb0254c704380a4d9bf74a3ac06c4", "0_model_name": "voyage-multilingual-2", "0_prompt": "who is the highest paid baseball player in the major leagues", "0_output": [["who is the highest paid baseball player in the major leagues", "List of highest-paid Major League Baseball players\n\nAlex Rodriguez has signed two record-breaking contracts over the course of his career. First, he signed a $252 million, 10-year contract with the Texas Rangers in December 2000 ($ inflation-adjusted from 2000 dollars). Sandy Alderson called the deal \"stupefying\", while Sports Illustrated noted that Rodriguez's early salaries under the contract ($21 million) would be greater than the annual payroll of the entire Minnesota Twins team that year ($15.8 million). The deal was the largest sports contract in history, doubling the total value of Kevin Garnett's $126 million National Basketball Association contract (the previous record holder) and more than doubling Mike Hampton's $121 million contract, the previous MLB record which had been signed just days before. The Rangers later traded Rodriguez to the Yankees in exchange for Alfonso Soriano before the 2004 season, though they agreed to pay $67 million of the $179 million outstanding on the contract. Despite this, he opted out of the remainder of his deal after the 2007 season and renegotiated a new $275 million, 10-year agreement with the Yankees, breaking his own record for the largest sports contract. Under this deal, Rodriguez also received $6 million when he tied the career home run total of Willie Mays (660), and would have received $6 million more had he tied Babe Ruth (714), Hank Aaron (755), and Barry Bonds (762), along with another $6 million for breaking Bonds' mark.\nFive of the twenty highest-paid players in 2013 were members of the Yankees. Their team payroll for 2013 was $228,835,490, roughly $12 million above the second-largest Los Angeles Dodgers. The Yankees have drawn criticism for their payroll, with some claiming it undermines the parity of MLB. From 2003-2020, the Yankees' payroll exceeded the luxury tax threshold every year except 2018.\nKey\nHighest annual salaries in 2023\nThis table refers to the salary for 2023 alone, not the overall average value or amount of the contract.\nTop 10 Career earnings through 2023 season\nEarnings up to date as of the end of the 2023 season.\nSalary progression\nThis list documents the progression of the highest average annual value contracts/contract extensions."]], "0_corpus": "wikipedia", "1_conv_id": "7595462a810d46d3b592590f1846eeb1", "1_model_name": "text-embedding-3-large", "1_prompt": "who is the highest paid baseball player in the major leagues", "1_output": [["who is the highest paid baseball player in the major leagues", "List of highest-paid Major League Baseball players\n\nMajor League Baseball (MLB) does not have a hard salary cap, instead employing a luxury tax which applies to teams whose total payroll exceeds certain set thresholds for a given season. Free agency did not exist in MLB prior to the end of the reserve clause in the 1970s, allowing owners before that time to wholly dictate the terms of player negotiations and resulting in significantly lower salaries.\nBabe Ruth, widely regarded as one of the greatest baseball players ever, earned an estimated $856,850 ($ inflation-adjusted from 1934 dollars) over his entire playing career. When asked whether he thought he deserved to earn $80,000 a year ($ inflation-adjusted), while the president, Herbert Hoover, had a $75,000 salary, Ruth famously remarked, \"What the hell has Hoover got to do with it? Besides, I had a better year than he did.\"\nPitcher Nolan Ryan was the first player to earn an annual salary above $1 million, signing a $4.5 million, 4-year contract with the Houston Astros in 1979. Kirby Puckett and Rickey Henderson signed the first contracts which paid an average of $3 million a year in November 1989. In 1990, Jose Canseco signed for 5 years and $23.5 million, making him the first player to earn an average of $4 million a year. It wasn't until 2010 when the MLB average salary rose above that same mark."]], "1_corpus": "wikipedia"} {"tstamp": 1722466189.4773, "task_type": "retrieval", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "9dc302cdcab344aebf85e2c3cadf6c75", "0_model_name": "text-embedding-004", "0_prompt": "who is the highest paid baseball player in the major leagues", "0_output": [["who is the highest paid baseball player in the major leagues", "List of highest-paid Major League Baseball players\n\nAlex Rodriguez has signed two record-breaking contracts over the course of his career. First, he signed a $252 million, 10-year contract with the Texas Rangers in December 2000 ($ inflation-adjusted from 2000 dollars). Sandy Alderson called the deal \"stupefying\", while Sports Illustrated noted that Rodriguez's early salaries under the contract ($21 million) would be greater than the annual payroll of the entire Minnesota Twins team that year ($15.8 million). The deal was the largest sports contract in history, doubling the total value of Kevin Garnett's $126 million National Basketball Association contract (the previous record holder) and more than doubling Mike Hampton's $121 million contract, the previous MLB record which had been signed just days before. The Rangers later traded Rodriguez to the Yankees in exchange for Alfonso Soriano before the 2004 season, though they agreed to pay $67 million of the $179 million outstanding on the contract. Despite this, he opted out of the remainder of his deal after the 2007 season and renegotiated a new $275 million, 10-year agreement with the Yankees, breaking his own record for the largest sports contract. Under this deal, Rodriguez also received $6 million when he tied the career home run total of Willie Mays (660), and would have received $6 million more had he tied Babe Ruth (714), Hank Aaron (755), and Barry Bonds (762), along with another $6 million for breaking Bonds' mark.\nFive of the twenty highest-paid players in 2013 were members of the Yankees. Their team payroll for 2013 was $228,835,490, roughly $12 million above the second-largest Los Angeles Dodgers. The Yankees have drawn criticism for their payroll, with some claiming it undermines the parity of MLB. From 2003-2020, the Yankees' payroll exceeded the luxury tax threshold every year except 2018.\nKey\nHighest annual salaries in 2023\nThis table refers to the salary for 2023 alone, not the overall average value or amount of the contract.\nTop 10 Career earnings through 2023 season\nEarnings up to date as of the end of the 2023 season.\nSalary progression\nThis list documents the progression of the highest average annual value contracts/contract extensions."]], "0_corpus": "wikipedia", "1_conv_id": "f8ff59a4ddd24fe48360916d6e87043d", "1_model_name": "intfloat/multilingual-e5-large-instruct", "1_prompt": "who is the highest paid baseball player in the major leagues", "1_output": [["who is the highest paid baseball player in the major leagues", "List of highest-paid Major League Baseball players\n\nMajor League Baseball (MLB) does not have a hard salary cap, instead employing a luxury tax which applies to teams whose total payroll exceeds certain set thresholds for a given season. Free agency did not exist in MLB prior to the end of the reserve clause in the 1970s, allowing owners before that time to wholly dictate the terms of player negotiations and resulting in significantly lower salaries.\nBabe Ruth, widely regarded as one of the greatest baseball players ever, earned an estimated $856,850 ($ inflation-adjusted from 1934 dollars) over his entire playing career. When asked whether he thought he deserved to earn $80,000 a year ($ inflation-adjusted), while the president, Herbert Hoover, had a $75,000 salary, Ruth famously remarked, \"What the hell has Hoover got to do with it? Besides, I had a better year than he did.\"\nPitcher Nolan Ryan was the first player to earn an annual salary above $1 million, signing a $4.5 million, 4-year contract with the Houston Astros in 1979. Kirby Puckett and Rickey Henderson signed the first contracts which paid an average of $3 million a year in November 1989. In 1990, Jose Canseco signed for 5 years and $23.5 million, making him the first player to earn an average of $4 million a year. It wasn't until 2010 when the MLB average salary rose above that same mark."]], "1_corpus": "wikipedia"} {"tstamp": 1722466199.4437, "task_type": "retrieval", "type": "bothbadvote", "models": ["", ""], "ip": "", "0_conv_id": "4d30c5e05c4b4cd6927cbdf66a612790", "0_model_name": "jinaai/jina-embeddings-v2-base-en", "0_prompt": "who is the highest paid baseball player in the major leagues", "0_output": [["who is the highest paid baseball player in the major leagues", "List of highest-paid Major League Baseball players\n\nMajor League Baseball (MLB) does not have a hard salary cap, instead employing a luxury tax which applies to teams whose total payroll exceeds certain set thresholds for a given season. Free agency did not exist in MLB prior to the end of the reserve clause in the 1970s, allowing owners before that time to wholly dictate the terms of player negotiations and resulting in significantly lower salaries.\nBabe Ruth, widely regarded as one of the greatest baseball players ever, earned an estimated $856,850 ($ inflation-adjusted from 1934 dollars) over his entire playing career. When asked whether he thought he deserved to earn $80,000 a year ($ inflation-adjusted), while the president, Herbert Hoover, had a $75,000 salary, Ruth famously remarked, \"What the hell has Hoover got to do with it? Besides, I had a better year than he did.\"\nPitcher Nolan Ryan was the first player to earn an annual salary above $1 million, signing a $4.5 million, 4-year contract with the Houston Astros in 1979. Kirby Puckett and Rickey Henderson signed the first contracts which paid an average of $3 million a year in November 1989. In 1990, Jose Canseco signed for 5 years and $23.5 million, making him the first player to earn an average of $4 million a year. It wasn't until 2010 when the MLB average salary rose above that same mark."]], "0_corpus": "wikipedia", "1_conv_id": "3b21c3fdff6e4ea7a5bd6fc28dbdc8f2", "1_model_name": "intfloat/multilingual-e5-large-instruct", "1_prompt": "who is the highest paid baseball player in the major leagues", "1_output": [["who is the highest paid baseball player in the major leagues", "List of highest-paid Major League Baseball players\n\nMajor League Baseball (MLB) does not have a hard salary cap, instead employing a luxury tax which applies to teams whose total payroll exceeds certain set thresholds for a given season. Free agency did not exist in MLB prior to the end of the reserve clause in the 1970s, allowing owners before that time to wholly dictate the terms of player negotiations and resulting in significantly lower salaries.\nBabe Ruth, widely regarded as one of the greatest baseball players ever, earned an estimated $856,850 ($ inflation-adjusted from 1934 dollars) over his entire playing career. When asked whether he thought he deserved to earn $80,000 a year ($ inflation-adjusted), while the president, Herbert Hoover, had a $75,000 salary, Ruth famously remarked, \"What the hell has Hoover got to do with it? Besides, I had a better year than he did.\"\nPitcher Nolan Ryan was the first player to earn an annual salary above $1 million, signing a $4.5 million, 4-year contract with the Houston Astros in 1979. Kirby Puckett and Rickey Henderson signed the first contracts which paid an average of $3 million a year in November 1989. In 1990, Jose Canseco signed for 5 years and $23.5 million, making him the first player to earn an average of $4 million a year. It wasn't until 2010 when the MLB average salary rose above that same mark."]], "1_corpus": "wikipedia"} {"tstamp": 1722466207.0589, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "3e9be171d1e94eb0b5442eeb8933bd00", "0_model_name": "embed-english-v3.0", "0_prompt": "who is the highest paid baseball player in the major leagues", "0_output": [["who is the highest paid baseball player in the major leagues", "List of highest-paid Major League Baseball players\n\nAlex Rodriguez has signed two record-breaking contracts over the course of his career. First, he signed a $252 million, 10-year contract with the Texas Rangers in December 2000 ($ inflation-adjusted from 2000 dollars). Sandy Alderson called the deal \"stupefying\", while Sports Illustrated noted that Rodriguez's early salaries under the contract ($21 million) would be greater than the annual payroll of the entire Minnesota Twins team that year ($15.8 million). The deal was the largest sports contract in history, doubling the total value of Kevin Garnett's $126 million National Basketball Association contract (the previous record holder) and more than doubling Mike Hampton's $121 million contract, the previous MLB record which had been signed just days before. The Rangers later traded Rodriguez to the Yankees in exchange for Alfonso Soriano before the 2004 season, though they agreed to pay $67 million of the $179 million outstanding on the contract. Despite this, he opted out of the remainder of his deal after the 2007 season and renegotiated a new $275 million, 10-year agreement with the Yankees, breaking his own record for the largest sports contract. Under this deal, Rodriguez also received $6 million when he tied the career home run total of Willie Mays (660), and would have received $6 million more had he tied Babe Ruth (714), Hank Aaron (755), and Barry Bonds (762), along with another $6 million for breaking Bonds' mark.\nFive of the twenty highest-paid players in 2013 were members of the Yankees. Their team payroll for 2013 was $228,835,490, roughly $12 million above the second-largest Los Angeles Dodgers. The Yankees have drawn criticism for their payroll, with some claiming it undermines the parity of MLB. From 2003-2020, the Yankees' payroll exceeded the luxury tax threshold every year except 2018.\nKey\nHighest annual salaries in 2023\nThis table refers to the salary for 2023 alone, not the overall average value or amount of the contract.\nTop 10 Career earnings through 2023 season\nEarnings up to date as of the end of the 2023 season.\nSalary progression\nThis list documents the progression of the highest average annual value contracts/contract extensions."]], "0_corpus": "wikipedia", "1_conv_id": "ac79e82cffec45c786fb84dac3b00ba4", "1_model_name": "BAAI/bge-large-en-v1.5", "1_prompt": "who is the highest paid baseball player in the major leagues", "1_output": [["who is the highest paid baseball player in the major leagues", "List of highest-paid Major League Baseball players\n\nAlex Rodriguez has signed two record-breaking contracts over the course of his career. First, he signed a $252 million, 10-year contract with the Texas Rangers in December 2000 ($ inflation-adjusted from 2000 dollars). Sandy Alderson called the deal \"stupefying\", while Sports Illustrated noted that Rodriguez's early salaries under the contract ($21 million) would be greater than the annual payroll of the entire Minnesota Twins team that year ($15.8 million). The deal was the largest sports contract in history, doubling the total value of Kevin Garnett's $126 million National Basketball Association contract (the previous record holder) and more than doubling Mike Hampton's $121 million contract, the previous MLB record which had been signed just days before. The Rangers later traded Rodriguez to the Yankees in exchange for Alfonso Soriano before the 2004 season, though they agreed to pay $67 million of the $179 million outstanding on the contract. Despite this, he opted out of the remainder of his deal after the 2007 season and renegotiated a new $275 million, 10-year agreement with the Yankees, breaking his own record for the largest sports contract. Under this deal, Rodriguez also received $6 million when he tied the career home run total of Willie Mays (660), and would have received $6 million more had he tied Babe Ruth (714), Hank Aaron (755), and Barry Bonds (762), along with another $6 million for breaking Bonds' mark.\nFive of the twenty highest-paid players in 2013 were members of the Yankees. Their team payroll for 2013 was $228,835,490, roughly $12 million above the second-largest Los Angeles Dodgers. The Yankees have drawn criticism for their payroll, with some claiming it undermines the parity of MLB. From 2003-2020, the Yankees' payroll exceeded the luxury tax threshold every year except 2018.\nKey\nHighest annual salaries in 2023\nThis table refers to the salary for 2023 alone, not the overall average value or amount of the contract.\nTop 10 Career earnings through 2023 season\nEarnings up to date as of the end of the 2023 season.\nSalary progression\nThis list documents the progression of the highest average annual value contracts/contract extensions."]], "1_corpus": "wikipedia"} {"tstamp": 1722466217.8328, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "295a176aff914ba592010ea5ba51104b", "0_model_name": "Salesforce/SFR-Embedding-2_R", "0_prompt": "can hutts use the force?", "0_output": [["can hutts use the force?", "Scifi Stackexchange\n\nQ: Why was Jabba immune to Luke's powers of the Force in Return of the Jedi? Jabba the Hutt: \n\nYour mind powers will not work on me, boy.\n\nWhy was Jabba immune to Luke's powers of the Force in Return of the Jedi?\n\nA: It's been stated in a number of sources, including 3 different RPG's, plus several other expanded universe sources, that some species in the SW universe are categorically immune to force effects upon the mind.\nEven a weak willed Hutt is immune to the mental powers of the force. Jabba was a Hutt, this is why he's immune to Luke's efforts.\n"]], "0_corpus": "stackexchange", "1_conv_id": "e06a4194b24d4ca490b211053e49db60", "1_model_name": "BM25", "1_prompt": "can hutts use the force?", "1_output": [["can hutts use the force?", "Scifi Stackexchange\n\nQ: Why was Jabba immune to Luke's powers of the Force in Return of the Jedi? Jabba the Hutt: \n\nYour mind powers will not work on me, boy.\n\nWhy was Jabba immune to Luke's powers of the Force in Return of the Jedi?\n\nA: It's been stated in a number of sources, including 3 different RPG's, plus several other expanded universe sources, that some species in the SW universe are categorically immune to force effects upon the mind.\nEven a weak willed Hutt is immune to the mental powers of the force. Jabba was a Hutt, this is why he's immune to Luke's efforts.\n"]], "1_corpus": "stackexchange"} {"tstamp": 1722466231.6599, "task_type": "retrieval", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "22b61881dfef4ad7b85c03791a1d7af1", "0_model_name": "sentence-transformers/all-MiniLM-L6-v2", "0_prompt": "A method enabling domain adaptation and zero-shot translation in NMT via parameter generation.", "0_output": [["A method enabling domain adaptation and zero-shot translation in NMT via parameter generation.", "Title: The Information Loss Problem of Black Hole and the First Order Phase Transition in String Theory\n\nAbstract: In recent years, Susskind, Thorlacius and Uglum have proposed a model for strings near a black hole horizon in order to represent the quantum mechanical entropy of the black hole and to resolve the information loss problem. However, this model is insufficient because they did not consider the metric modification due to massive strings and did not explain how to carry information from inside of the horizon to the outside world. In this paper, we present a possible, intuitive model for the time development of a black hole in order to solve the information loss problem. In this model, we assume that a first order phase transition occurs near the Hagedorn temperature and the string gas changes to hypothetical matter with vanishing entropy and energy which we call `the Planck solid'. We also study the background geometry of black holes in this picture and find out that there is no singularity within the model."]], "0_corpus": "arxiv", "1_conv_id": "c95791b1917c4f9297bc8e7a7badf23a", "1_model_name": "BM25", "1_prompt": "A method enabling domain adaptation and zero-shot translation in NMT via parameter generation.", "1_output": [["A method enabling domain adaptation and zero-shot translation in NMT via parameter generation.", "Title: Generalised Unsupervised Domain Adaptation of Neural Machine Translation with Cross-Lingual Data Selection\n\nAbstract: This paper considers the unsupervised domain adaptation problem for neural machine translation (NMT), where we assume the access to only monolingual text in either the source or target language in the new domain. We propose a cross-lingual data selection method to extract in-domain sentences in the missing language side from a large generic monolingual corpus. Our proposed method trains an adaptive layer on top of multilingual BERT by contrastive learning to align the representation between the source and target language. This then enables the transferability of the domain classifier between the languages in a zero-shot manner. Once the in-domain data is detected by the classifier, the NMT model is then adapted to the new domain by jointly learning translation and domain discrimination tasks. We evaluate our cross-lingual data selection method on NMT across five diverse domains in three language pairs, as well as a real-world scenario of translation for COVID-19. The results show that our proposed method outperforms other selection baselines up to +1.5 BLEU score."]], "1_corpus": "arxiv"} {"tstamp": 1722466250.0909, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "2f9dc8a71eed4bf1b4f90ec52473cf84", "0_model_name": "nomic-ai/nomic-embed-text-v1.5", "0_prompt": "are moment and torque the same thing?", "0_output": [["are moment and torque the same thing?", "Physics Stackexchange\n\nQ: Torque vs Moment I was wondering, why in Newtonian physics torque is called \"torque\" while in static mechanics they call it \"moment\"? \nI prefer by far the term \"torque\", for not only it sounds strong, but also instead of moment, the correct synonym of torque is moment of force.\n\nA: Torque is the informal, practical man's way of calling this thing; the moment of force is the more quantitative, scientific term which is better at expressing the formula \n$$ \\vec \\tau = \\vec r \\times \\vec F $$\nThe position $\\vec r$ and the cross product, for this specific case, are responsible for the words \"moment of\" while $\\vec F$ is the force.\nA similar addition of \"moment\" to other terms is the way to express other quantities although the terminology isn't quite systematic. For example, the angular momentum $\\vec L = \\vec r \\times p$ is derived from the momentum $\\vec p$ (well, the word \"moment\" was already inside \"momentum\" so people added \"angular\" instead because \"moment of momentum\" sounds awkward). The moment of inertia is a quantity like $I = mr^2$ which differs from the (inertial) mass $m$ by powers of $r$, too.\n"]], "0_corpus": "stackexchange", "1_conv_id": "4b5de3d1609d44abb3c3ad8e44696c89", "1_model_name": "mixedbread-ai/mxbai-embed-large-v1", "1_prompt": "are moment and torque the same thing?", "1_output": [["are moment and torque the same thing?", "Physics Stackexchange\n\nQ: Difference between torque and moment What is the difference between torque and moment? I would like to see mathematical definitions for both quantities.\nI also do not prefer definitions like \"It is the tendancy..../It is a measure of ....\"\nTo make my question clearer: \nLet $D\\subseteq\\mathbb{R}^3$ be the volume occupied by a certain rigid body. If there are forces $F_1,F_2,....,F_n$ acting at position vectors $r_1,r_2,...,r_n$. Can you use these to define torque and moment ?\n\nA: While the formulas are similar, Torque relates to the axis of rotation driving the rotation, while moment relates to being driven by external force(s) to cause the rotation. Moment is a general term and when used in context of rotational motion is pretty much the same.\nTorque is $\\vec{r} \\times \\vec{F}$. As @Apurba said, $\\sum{\\vec{F}}$ may not be zero.\nMoment = Magnitude of Force x Perpendicular distance to the pivot.\n"]], "1_corpus": "stackexchange"} {"tstamp": 1722466281.254, "task_type": "retrieval", "type": "bothbadvote", "models": ["", ""], "ip": "", "0_conv_id": "be64c403874542f19f5117f9c4f79bed", "0_model_name": "mixedbread-ai/mxbai-embed-large-v1", "0_prompt": "what is the difference between c major and d major?", "0_output": [["what is the difference between c major and d major?", "Stackoverflow Stackexchange\n\nQ: The difference of 'in' and 'const' in D language Reading this tutorial: http://ddili.org/ders/d.en/function_parameters.html\nI cannot understand the difference between in and const: what is it?\ndchar lastLetter(const dchar[] str) {\n return str[$ - 1];\n}\n\ndchar lastLetter(in dchar[] str) {\n return str[$ - 1];\n}\n\n\nA: It is nicely explained in the D Language Reference ( http://dlang.org/function.html#parameters ) section which describes parameter storage classes (off-topic items are omitted):\n\n\n*\n\n*scope : references in the parameter cannot be escaped (e.g. assigned to a global variable)\n\n*in : equivalent to const scope\n\n*const : argument is implicitly converted to a const type\n\n*ref : parameter is passed by reference (implicit for reference types, see below)\n\n\nWhen they think about parameter storage class, D programmers should remember that D has value (structs, unions, static arrays and PODs) and reference (dynamic arrays, classes) types. The first group of types is always passed by value, unless you use the ref parameter storage class which is going to tell D compiler to explicitly pass by reference. Reference types will naturally be passed by reference, so ref is implicit in this case.\n"]], "0_corpus": "stackexchange", "1_conv_id": "444e5ef4847947c590aed6a55d33f773", "1_model_name": "BAAI/bge-large-en-v1.5", "1_prompt": "what is the difference between c major and d major?", "1_output": [["what is the difference between c major and d major?", "Stackoverflow Stackexchange\n\nQ: What's the difference between C and C++ I know that C++ has the concept of objects but C doesn't. I also know that pretty much all there is to know about C fits into K & R but the C++ library is vastly more complex. There have got to be other big differences though.\nWhat are the major differences between C and C++?\n\nA: In short, C aspires to be a \"portable assembler language\". It keeps things simple, lets you do things that map almost directly to the underlying hardware, and doesn't present a lot of high level abstractions (you've got functions and.... that's about it)\nC++ tries to be everything. A high level language, a low level language, an object oriented language, a multi-paradigm language, a systems programming language, an embedded programming language, and an application development language. \nThe two language really don't have much in common, other than some shared syntax. A C program might compile as C++ with only minor changes, but it'll have nothing in common with \"proper\" C++ code written for the language.\n"]], "1_corpus": "stackexchange"} {"tstamp": 1722466351.1955, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "ee239534ccc54e008cb95f86f653eec5", "0_model_name": "mixedbread-ai/mxbai-embed-large-v1", "0_prompt": "Techniques used for analyzing PII leakage in language models trained on sensitive domains", "0_output": [["Techniques used for analyzing PII leakage in language models trained on sensitive domains", "Title: Analyzing Leakage of Personally Identifiable Information in Language Models\n\nAbstract: Language Models (LMs) have been shown to leak information about training data through sentence-level membership inference and reconstruction attacks. Understanding the risk of LMs leaking Personally Identifiable Information (PII) has received less attention, which can be attributed to the false assumption that dataset curation techniques such as scrubbing are sufficient to prevent PII leakage. Scrubbing techniques reduce but do not prevent the risk of PII leakage: in practice scrubbing is imperfect and must balance the trade-off between minimizing disclosure and preserving the utility of the dataset. On the other hand, it is unclear to which extent algorithmic defenses such as differential privacy, designed to guarantee sentence- or user-level privacy, prevent PII disclosure. In this work, we introduce rigorous game-based definitions for three types of PII leakage via black-box extraction, inference, and reconstruction attacks with only API access to an LM. We empirically evaluate the attacks against GPT-2 models fine-tuned with and without defenses in three domains: case law, health care, and e-mails. Our main contributions are (i) novel attacks that can extract up to 10$\\times$ more PII sequences than existing attacks, (ii) showing that sentence-level differential privacy reduces the risk of PII disclosure but still leaks about 3% of PII sequences, and (iii) a subtle connection between record-level membership inference and PII reconstruction. Code to reproduce all experiments in the paper is available at https://github.com/microsoft/analysing_pii_leakage."]], "0_corpus": "arxiv", "1_conv_id": "3935996724a94c45b9f114041c2b272e", "1_model_name": "text-embedding-3-large", "1_prompt": "Techniques used for analyzing PII leakage in language models trained on sensitive domains", "1_output": [["Techniques used for analyzing PII leakage in language models trained on sensitive domains", "Title: Analyzing Leakage of Personally Identifiable Information in Language Models\n\nAbstract: Language Models (LMs) have been shown to leak information about training data through sentence-level membership inference and reconstruction attacks. Understanding the risk of LMs leaking Personally Identifiable Information (PII) has received less attention, which can be attributed to the false assumption that dataset curation techniques such as scrubbing are sufficient to prevent PII leakage. Scrubbing techniques reduce but do not prevent the risk of PII leakage: in practice scrubbing is imperfect and must balance the trade-off between minimizing disclosure and preserving the utility of the dataset. On the other hand, it is unclear to which extent algorithmic defenses such as differential privacy, designed to guarantee sentence- or user-level privacy, prevent PII disclosure. In this work, we introduce rigorous game-based definitions for three types of PII leakage via black-box extraction, inference, and reconstruction attacks with only API access to an LM. We empirically evaluate the attacks against GPT-2 models fine-tuned with and without defenses in three domains: case law, health care, and e-mails. Our main contributions are (i) novel attacks that can extract up to 10$\\times$ more PII sequences than existing attacks, (ii) showing that sentence-level differential privacy reduces the risk of PII disclosure but still leaks about 3% of PII sequences, and (iii) a subtle connection between record-level membership inference and PII reconstruction. Code to reproduce all experiments in the paper is available at https://github.com/microsoft/analysing_pii_leakage."]], "1_corpus": "arxiv"} {"tstamp": 1722466376.8527, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "fa02e06f1d1e42428bdae5bb0fbab11a", "0_model_name": "BM25", "0_prompt": "are baby stimulation videos good?", "0_output": [["are baby stimulation videos good?", "Ell Stackexchange\n\nQ: Is the begining of the sentence with the zero article correct? Can I use the zero article before Video in the following sentence? If yes, then why.\n\nVideo baby monitor is also great for prevention from sudden infant\n death syndrome (SIDS).\n\n\nA: No, you can't.\nIf you're talking about video baby monitors in general, you can say:\n\n\n*\n\n*A video baby monitor is also great for prevention of sudden infant death syndrome (SIDS), or\n\n*Video baby monitors are also great for prevention of sudden infant death syndrome (SIDS).\n\n\nIf you're talking about a specific video baby monitor or about a specific type or model of video baby monitor, you can say:\n\n\n*\n\n*The video baby monitor is also great for prevention of sudden infant death syndrome (SIDS), or\n\n*This video baby monitor is also great for prevention of sudden infant death syndrome (SIDS).\n\n\nIf it's a product sold as \"Video Baby Monitor\", you could write it without an article:\n\n\n*\n\n*Video Baby Monitor is also great for prevention of sudden infant death syndrome (SIDS).\n\n"]], "0_corpus": "stackexchange", "1_conv_id": "9bea32d4c6d34537a3c8eff5984dd8e0", "1_model_name": "Salesforce/SFR-Embedding-2_R", "1_prompt": "are baby stimulation videos good?", "1_output": [["are baby stimulation videos good?", "Apple Stackexchange\n\nQ: What Are The Best iPhone apps to keep a toddler amused in an 'emergency'? Preferably free - kids shows / films from iTunes are an obvious one.\n\nA: Bubble Wrap\n​​​​​​​​​​​​​​​​​​\n"]], "1_corpus": "stackexchange"} {"tstamp": 1722466415.9654, "task_type": "retrieval", "type": "bothbadvote", "models": ["", ""], "ip": "", "0_conv_id": "490fc2fa59554b2292f1e74e495d87ba", "0_model_name": "text-embedding-004", "0_prompt": "who plays mad eye moody in the harry potter movies", "0_output": [["who plays mad eye moody in the harry potter movies", "Harry Potter and the Goblet of Fire (film)\n\nMichael Gambon as Albus Dumbledore:The headmaster of Hogwarts and one of the greatest wizards of all time. Gambon commented on the state of the character in the film: \"Dumbledore is no longer in control and he's frightened.\" Newell compared Gambon's performance with Richard Harris' iteration in earlier films, showing the character as \"fallible and not omnipotent\" and \"inadequate rather than super-adequate.\"\nBrendan Gleeson as Alastor \"Mad-Eye\" Moody:A famous ex-Auror appointed by Dumbledore as the new Defence Against the Dark Arts teacher at Hogwarts. Gleeson referred to Moody as \"a gunslinger with a wand,\" whose \"great wounds have damaged him greatly.\" Heyman found Gleeson brought \"a great balance of ferociousness and humour\" to what he called a \"complex, challenging character.\"\nJason Isaacs as Lucius Malfoy: Draco's father and a former Hogwarts pupil of Slytherin House. He is also a member of the Death Eaters. Isaacs didn't initially expect to be back in the fourth Harry Potter film, but felt nonetheless grateful to be able to \"get the wig out of mothballs\" while preparing for the next film, where he was slated to have a bigger role.\nGary Oldman as Sirius Black: Harry's godfather, who had escaped from Azkaban after being wrongly imprisoned for twelve years and is now a fugitive.\nAlan Rickman as Severus Snape: The Potions teacher at Hogwarts and head of Slytherin.\nMaggie Smith as Minerva McGonagall: Deputy Headmistress of Hogwarts, the Transfiguration teacher at Hogwarts and head of Gryffindor.\nTimothy Spall as Peter Pettigrew / Wormtail: The Death Eater who betrayed Harry's parents to Voldemort."]], "0_corpus": "wikipedia", "1_conv_id": "a46c6214dd3b425b82c2f488fdc83eb1", "1_model_name": "nomic-ai/nomic-embed-text-v1.5", "1_prompt": "who plays mad eye moody in the harry potter movies", "1_output": [["who plays mad eye moody in the harry potter movies", "Daniel Radcliffe\n\nDaniel Jacob Radcliffe (born 23 July 1989) is an English actor. He rose to fame at age 12 when he began portraying Harry Potter in the film series of the same name. Radcliffe portrayed Potter in all eight films in the series, beginning with Harry Potter and the Philosopher's Stone (2001) and concluding with Harry Potter and the Deathly Hallows – Part 2 (2011)."]], "1_corpus": "wikipedia"} {"tstamp": 1722466481.609, "task_type": "retrieval", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "2850d55539df4aa2b83c5866f933867c", "0_model_name": "BAAI/bge-large-en-v1.5", "0_prompt": "when does jim propose to pam on the office", "0_output": [["when does jim propose to pam on the office", "Jim Halpert\n\nIn \"The Job,\" Jim, Karen, and Michael each interview for the corporate position. During the interview, he notices a caring note from Pam in his briefcase. After the interview he drives back to Scranton, leaving Karen without a ride. Back at the Scranton office, Pam is reflecting on her history with Jim, stating that they “never got the timing right” and were just “too similar”. Jim then suddenly interrupts the session to ask her out to dinner, much to her surprise. Flustered and overjoyed, Pam accepts the invitation.\nSeasons 4–6\nAt the beginning of the season, it is revealed that Jim and Pam are dating, and that Karen had left the Scranton branch shortly after Jim breaks up with her.\nIn the episodes \"Survivor Man\" and \"Night Out,\" Jim takes on his role as manager while Michael is out of the office. Both times, however, his attempts at making the office better go awry. Ryan, annoyed by Jim's popularity with his boss David Wallace, gives Jim a performance warning in \"Did I Stutter?\" citing \"goofing off with Dwight\" and \"spending time at reception\" as productivity problems, despite his high sale numbers.\nIn \"Goodbye, Toby,\" Jim shows his happiness and support for Pam getting into the Pratt Institute, where she will be for the next three months. He plans to propose at Toby's going away party until Andy proposes in front of everybody to Angela, who accepts. Jim puts his ring back in his pocket and postpones the engagement. Instead, he proposes during the season-five premiere, \"Weight Loss,\" during a rainy last-minute lunch date at an Interstate rest stop between Scranton and New York City, where Pam is attending Pratt."]], "0_corpus": "wikipedia", "1_conv_id": "de6b99cbcc334237ac5dc8698c4278db", "1_model_name": "jinaai/jina-embeddings-v2-base-en", "1_prompt": "when does jim propose to pam on the office", "1_output": [["when does jim propose to pam on the office", "The Thing About Pam\n\nJeff Ryan Baker as Louis Gumpenberger, a Missouri resident who is shot and killed by Pam.\nDateline journalist Keith Morrison provides the show's narration.\nEpisodes\nProduction\nDevelopment\nOn January 10, 2020, NBC announced its plans to shut down the unscripted production unit Peacock Productions. Variety reported that the decision was sparked by the rise of streaming services and a necessity for \"higher-quality productions\". In a statement, NBC said the company was \"shifting its documentary strategy to an entirely new model\" that would be \"consistent with industry trends\". Two weeks later, on January 23, NBC News Studios was launched. Liz Cole, executive producer of Dateline NBC and the then-president of Peacock Productions, announced she would also serve as president of the new company. The studio's intent is to produce content for emerging platforms, documentaries, docu-series, and select scripted programming. At the time of its announcement, NBC News Studios had already attained partnerships with Blumhouse Television and Focus Features, with the former revealing they were in negotiations to develop and produce scripted programs based on stories told on Dateline. In a statement, Cole said \"the documentary business is certainly more robust than it ever has been. More and more people are seeking out that content\"."]], "1_corpus": "wikipedia"} {"tstamp": 1722466501.9902, "task_type": "retrieval", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "220997c045d24e0e88ffd0737de3570d", "0_model_name": "intfloat/e5-mistral-7b-instruct", "0_prompt": "can use hkd in shenzhen?", "0_output": [["can use hkd in shenzhen?", "Stackoverflow Stackexchange\n\nQ: Website Payment Pro outside US My current online shop use PayPal express checkout (for credit card too) to charge users.\nOur surveys (and A/B testing) showed that they are willing to make am order in a fewer step and without going to Paypal website.\nWe are based in Hong Kong so Website Payment Pro with DirectPayment can't be used.\nDo you any other solution that could fit (i.e same level of pricing) our needs.\nSmall transactions (< 100 USD), need to fully integrate the solution within our shop for credit card (no redirection to another website)?\nWe will probably keep paypal as a backup solution for customers without credit cards.\n\nA: Since PayPal indeed does not offer WPP in Hong Kong, I see just three options:\n\n\n*\n\n*Open a business in US/UK/Canada where WPP is available;\n\n*Use a standard credit card payment provider, not PayPal;\n\n*Keep using WPS.\n\n\nI'm afraid that none of these are the same level of pricing and benefits though. :(\n"]], "0_corpus": "stackexchange", "1_conv_id": "5b3e7bf79aaf4fa680a7f289d945eade", "1_model_name": "BM25", "1_prompt": "can use hkd in shenzhen?", "1_output": [["can use hkd in shenzhen?", "Unix Stackexchange\n\nQ: Linux sort second last column I would like know how to sort the second last column ? It has the word \"days=\" in front of the number. I'm able to get the column with awk '{print $(NF-1)}', but sorting is wrong.\n 457000 (test2) && (SGD||RMB||HKD||YEN) days=5000 71\n 37622 (this is || test1)&&(SGD||HKD||RMB) days=630 40010 \n 43944 (this is)&&(SGD||HKD) days=80 102732 \n 79378 (this is||test2)&&(HKD||RMB) days=800 205425 \n\nThe result I'm looking for is \n 43944 (this is)&&(SGD||HKD) days=80 102732 \n 37622 (this is || test1)&&(SGD||HKD||RMB) days=630 40010 \n 79378 (this is||test2)&&(HKD||RMB) days=800 205425\n 457000 (test2) && (SGD||RMB||HKD||YEN) days=5000 71\n\n\nA: A bit hacky, but it ought to work:\nawk '{print substr($(NF-1), 6), $0}' file | sort -g | cut -d' ' -f2-\n\nIt duplicates the second-to-last column at the front (dropping the days=), sorts numerically, and then removes the first column (the duplicated second-to-last one). \n"]], "1_corpus": "stackexchange"} {"tstamp": 1722466516.1677, "task_type": "retrieval", "type": "bothbadvote", "models": ["", ""], "ip": "", "0_conv_id": "0cf2781daabf4d349062ebd03a963cbb", "0_model_name": "mixedbread-ai/mxbai-embed-large-v1", "0_prompt": "how do you measure 1 cup of spinach?", "0_output": [["how do you measure 1 cup of spinach?", "Stackoverflow Stackexchange\n\nQ: Cooking Measurements in C# / F# Do any of you know a library for the representation and calculation of cooking units (Cup, Tablespoon, Gallon...) in C# or F# (especially in regard to culture, metric/imperial)?\n\nA: Units of measure are built into the F# language:\nhttp://msdn.microsoft.com/en-us/library/dd233243.aspx\nThey can be easily extended with custom units, as long as you know conversion ratios.\nEdit: Of course, you might end up with some strange unit types to account between differences in weights and volumes (the ratio of 1 cup of flour to 1 cup of water is not the same as the ratio of 100g of flour to 100g of water...)\n"]], "0_corpus": "stackexchange", "1_conv_id": "d0146615e96b4076835aa5e7f6f41913", "1_model_name": "nomic-ai/nomic-embed-text-v1.5", "1_prompt": "how do you measure 1 cup of spinach?", "1_output": [["how do you measure 1 cup of spinach?", "Superuser Stackexchange\n\nQ: Measure object in a photo, without a smartphone I see a number of apps for measuring size of objects in photos -- if one has a smart phone. I don't. Are there any online services which can do same? Or program for Windows PC? \nNo 100mb trial ware or demo's please as I only need it for one job, namely getting the surface dimensions of a table:\n\n\nA: You can use KLONK Image Measurement for this task.\nYou first take a picture of table in a perpendicular angle on what you want to measure. On the image you must place an object which you know the size of.\nAnd then you aquire it into the application, calibrate according to the object and the measure what you need to measure.\n"]], "1_corpus": "stackexchange"} {"tstamp": 1722466542.8212, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "692fdeeeaa2f4b35b25a8aa30aa9ed82", "0_model_name": "BAAI/bge-large-en-v1.5", "0_prompt": "A paper that achieved human-level performance on the WikiSQL dataset using table-aware word contextualization.", "0_output": [["A paper that achieved human-level performance on the WikiSQL dataset using table-aware word contextualization.", "Title: A Comprehensive Exploration on WikiSQL with Table-Aware Word Contextualization\n\nAbstract: We present SQLova, the first Natural-language-to-SQL (NL2SQL) model to achieve human performance in WikiSQL dataset. We revisit and discuss diverse popular methods in NL2SQL literature, take a full advantage of BERT {Devlin et al., 2018) through an effective table contextualization method, and coherently combine them, outperforming the previous state of the art by 8.2% and 2.5% in logical form and execution accuracy, respectively. We particularly note that BERT with a seq2seq decoder leads to a poor performance in the task, indicating the importance of a careful design when using such large pretrained models. We also provide a comprehensive analysis on the dataset and our model, which can be helpful for designing future NL2SQL datsets and models. We especially show that our model's performance is near the upper bound in WikiSQL, where we observe that a large portion of the evaluation errors are due to wrong annotations, and our model is already exceeding human performance by 1.3% in execution accuracy."]], "0_corpus": "arxiv", "1_conv_id": "71282ce856914c6c8fb7fec33fface38", "1_model_name": "embed-english-v3.0", "1_prompt": "A paper that achieved human-level performance on the WikiSQL dataset using table-aware word contextualization.", "1_output": [["A paper that achieved human-level performance on the WikiSQL dataset using table-aware word contextualization.", "Title: A Comprehensive Exploration on WikiSQL with Table-Aware Word Contextualization\n\nAbstract: We present SQLova, the first Natural-language-to-SQL (NL2SQL) model to achieve human performance in WikiSQL dataset. We revisit and discuss diverse popular methods in NL2SQL literature, take a full advantage of BERT {Devlin et al., 2018) through an effective table contextualization method, and coherently combine them, outperforming the previous state of the art by 8.2% and 2.5% in logical form and execution accuracy, respectively. We particularly note that BERT with a seq2seq decoder leads to a poor performance in the task, indicating the importance of a careful design when using such large pretrained models. We also provide a comprehensive analysis on the dataset and our model, which can be helpful for designing future NL2SQL datsets and models. We especially show that our model's performance is near the upper bound in WikiSQL, where we observe that a large portion of the evaluation errors are due to wrong annotations, and our model is already exceeding human performance by 1.3% in execution accuracy."]], "1_corpus": "arxiv"} {"tstamp": 1722468812.3057, "task_type": "retrieval", "type": "bothbadvote", "models": ["", ""], "ip": "", "0_conv_id": "8443d654cd8f4b72b393aa59c76a5670", "0_model_name": "nomic-ai/nomic-embed-text-v1.5", "0_prompt": "attention is all you need", "0_output": [["attention is all you need", "Title: Pay Attention: a Call to Regulate the Attention Market and Prevent Algorithmic Emotional Governance\n\nAbstract: Over the last 70 years, we, humans, have created an economic market where attention is being captured and turned into money thanks to advertising. During the last two decades, leveraging research in psychology, sociology, neuroscience and other domains, Web platforms have brought the process of capturing attention to an unprecedented scale. With the initial commonplace goal of making targeted advertising more effective, the generalization of attention-capturing techniques and their use of cognitive biases and emotions have multiple detrimental side effects such as polarizing opinions, spreading false information and threatening public health, economies and democracies. This is clearly a case where the Web is not used for the common good and where, in fact, all its users become a vulnerable population. This paper brings together contributions from a wide range of disciplines to analyze current practices and consequences thereof. Through a set of propositions and principles that could be used do drive further works, it calls for actions against these practices competing to capture our attention on the Web, as it would be unsustainable for a civilization to allow attention to be wasted with impunity on a world-wide scale."]], "0_corpus": "arxiv", "1_conv_id": "b70bd0e73fc84f919f4708950da5f450", "1_model_name": "sentence-transformers/all-MiniLM-L6-v2", "1_prompt": "attention is all you need", "1_output": [["attention is all you need", "Title: Phenotypical Behavior and Evolutionary Slavery\n\nAbstract: A new evolutionary solution to Prisoner Dilemma situations is proposed in this paper. A specific genetic code may have different phenotypes, meaning different strategies for different individuals carrying that gene. This means that, under the right parameters, it is a good evolutionary solution to create two types of phenotypes with different strategies, here called as leaders and servants. In this solution, servants always cooperate with the leaders and leaders never do with the servants. Inside the same class, the usual strategies apply. Possible applications of this solution are discussed."]], "1_corpus": "arxiv"} {"tstamp": 1722468854.9428, "task_type": "retrieval", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "af0125c33fb74a25b275e34344846f48", "0_model_name": "BM25", "0_prompt": "neural speech quantization", "0_output": [["neural speech quantization", "Title: A study on speech enhancement using exponent-only floating point quantized neural network (EOFP-QNN)\n\nAbstract: Numerous studies have investigated the effectiveness of neural network quantization on pattern classification tasks. The present study, for the first time, investigated the performance of speech enhancement (a regression task in speech processing) using a novel exponent-only floating-point quantized neural network (EOFP-QNN). The proposed EOFP-QNN consists of two stages: mantissa-quantization and exponent-quantization. In the mantissa-quantization stage, EOFP-QNN learns how to quantize the mantissa bits of the model parameters while preserving the regression accuracy using the least mantissa precision. In the exponent-quantization stage, the exponent part of the parameters is further quantized without causing any additional performance degradation. We evaluated the proposed EOFP quantization technique on two types of neural networks, namely, bidirectional long short-term memory (BLSTM) and fully convolutional neural network (FCN), on a speech enhancement task. Experimental results showed that the model sizes can be significantly reduced (the model sizes of the quantized BLSTM and FCN models were only 18.75% and 21.89%, respectively, compared to those of the original models) while maintaining satisfactory speech-enhancement performance."]], "0_corpus": "arxiv", "1_conv_id": "fa1e032f73dc4a0a855c450abd335709", "1_model_name": "intfloat/multilingual-e5-large-instruct", "1_prompt": "neural speech quantization", "1_output": [["neural speech quantization", "Title: Simple and Efficient Quantization Techniques for Neural Speech Coding\n\nAbstract: Neural audio coding has emerged as a vivid research direction by promising good audio quality at very low bitrates unachievable by classical coding techniques. Here, end-to-end trainable autoencoder-like models represent the state of the art, where a discrete representation in the bottleneck of the autoencoder has to be learned that allows for efficient transmission of the input audio signal. This discrete representation is typically generated by applying a quantizer to the output of the neural encoder. In almost all state-of-the-art neural audio coding approaches, this quantizer is realized as a Vector Quantizer (VQ) and a lot of effort has been spent to alleviate drawbacks of this quantization technique when used together with a neural audio coder. In this paper, we propose simple alternatives to VQ, which are based on projected Scalar Quantization (SQ). These quantization techniques do not need any additional losses, scheduling parameters or codebook storage thereby simplifying the training of neural audio codecs. Furthermore, we propose a new causal network architecture for neural speech coding that shows good performance at very low computational complexity."]], "1_corpus": "arxiv"} {"tstamp": 1722468901.6746, "task_type": "retrieval", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "05acc0a987b94ed69362ee7878139c8e", "0_model_name": "mixedbread-ai/mxbai-embed-large-v1", "0_prompt": "post soviet deaths of despair", "0_output": [["post soviet deaths of despair", "Nostalgia for the Soviet Union\n\nMany of the ex-Soviet republics suffered economic collapse upon the dissolution, resulting in lowered living standards, increased mortality rates, devaluation of national currencies, and rising income inequality. Chaotic neoliberal market reforms, privatization, and austerity measures urged by Western economic advisers, including Lawrence Summers, and the International Monetary Fund (IMF) were often blamed by the populace of the former Soviet states for exacerbating the problem. Between 1991 and 1994, a third of Russia's population was plunged into poverty, and between 1994 and 1998 this figure increased to over half the population. Most of the Soviet state enterprises were acquired and liquidated by Russian business oligarchs as part of the privatization campaign, which rendered large segments of the ex-Soviet workforce unemployed and impoverished. Capital gains made in post-Soviet Russia during the 1990s were mostly concentrated in the hands of oligarchs who benefited from the acquisition of state assets, while the majority of the population suffered severe economic hardship.\nAccording to Kristen Ghodsee, a researcher on post-communist Eastern Europe:\nAmong the working poor, Soviet nostalgia is often directly linked to the guarantee of state employment and regular salaries. The collapse of Soviet state enterprises and contraction of the public sector after the dissolution resulted in widespread unemployment. With the disappearance of the Soviet industrial complex, as much as half the working class of the former USSR lost their jobs during the 1990s. One study of rural Georgians in the early 2000s found that the vast majority yearned for a return to the security of their public sector jobs, even those that did not favor a return to the centrally planned economy. They attributed their poverty to the demise of the Soviet state, which in turn resulted in the widespread association of stability with the Soviet era and lack of confidence in the post-Soviet governments. A related study of working class Kyrgyz women in the same time frame found that most remembered the Soviet era primarily for its low levels of unemployment."]], "0_corpus": "wikipedia", "1_conv_id": "427028bceea746e6962d4bb2e1acbfc9", "1_model_name": "text-embedding-004", "1_prompt": "post soviet deaths of despair", "1_output": [["post soviet deaths of despair", "Dissolution of the Soviet Union\n\nIn a similar poll held in February 2005, 50% of respondents in Ukraine stated they regretted the disintegration of the Soviet Union. In 2013, according to Gallup, 56% of Ukrainians said that the dissolution of the Soviet Union did more harm than good, with only 23% saying it did more good than harm. However, a similar poll conducted in 2016 by a Ukrainian group showed only 35% Ukrainians regretting the Soviet collapse and 50% not regretting it.\nThe breakdown of economic ties that followed the Soviet collapse led to a severe economic crisis and catastrophic fall in the standard of living in post-Soviet states and the former Eastern Bloc, which was even worse than the Great Depression. An estimated seven million premature deaths took place in the former USSR after it collapsed, with around four million in Russia alone. Poverty and economic inequality surged between 1988 and 1989 and between 1993 and 1995, with the Gini ratio increasing by an average of 9 points for all former socialist countries. Even before the 1998 Russian financial crisis, the Russian GDP was half of what it had been in the early 1990s. By 1999, around 191 million people in post-Soviet states and former Eastern Bloc countries were living on less than $5.50 a day."]], "1_corpus": "wikipedia"} {"tstamp": 1722474855.851, "task_type": "retrieval", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "c2811fe1275b4bb9a30015d6c49965f1", "0_model_name": "intfloat/multilingual-e5-large-instruct", "0_prompt": "how to connect two monitors to one thunderbolt?", "0_output": [["how to connect two monitors to one thunderbolt?", "Apple Stackexchange\n\nQ: does thunderbolt support connecting multiple computers to a monitor I'm planning to get a new Mac mini server plus a mac book pro. \nI would like information about Thunderbolt support for connecting two computers to a single display, i.e. in my case the Mac mini to the Thunderbolt display port and simultaneously the Mac Book pro with the Thunderbolt cable.\n\nA: Do you mean multiple inputs (like a TV)? In that case, no. The Thunderbolt display supports one input but allows you to chain additional displays or drives using the Thunderbolt port on the back of the display.\n"]], "0_corpus": "stackexchange", "1_conv_id": "c59688240b0a4242a2dbd6554d80dc65", "1_model_name": "voyage-multilingual-2", "1_prompt": "how to connect two monitors to one thunderbolt?", "1_output": [["how to connect two monitors to one thunderbolt?", "Apple Stackexchange\n\nQ: is it possible to connect two external monitors with mini displayport + thunderbolt to displayport or hdmi? I've heard that thunderbolt can be used as a displayport. That make me wonder if I can use two external monitors with mini displayport and thunderbolt to displayport or hdmi.\nIs it possible??\n\nA: The thunderbolt port and display port are the same port. So it's not two separate ports.\nThat said, due to the high bandwidth nature of thunderbolt, I suspect we will be able to daisy chain monitors in the future, as well as having thunderbolt \"hubs\" where multiple devices can be plugged in.\nBut for now, it's one port. So only one external monitor. \n"]], "1_corpus": "stackexchange"} {"tstamp": 1722477435.8176, "task_type": "retrieval", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "6b79bed1c32d410b8f9b6e0757601042", "0_model_name": "sentence-transformers/all-MiniLM-L6-v2", "0_prompt": "breakfast food", "0_output": [["breakfast food", "Breakfast\n\nBreakfast is the first meal of the day usually eaten in the morning. The word in English refers to breaking the fasting period of the previous night. Various \"typical\" or \"traditional\" breakfast menus exist, with food choices varying by regions and traditions worldwide.\nHistory\nIn Old English, a regular morning meal was called , and the word dinner, which originated from Gallo-Romance desjunare (\"to break one's fast\"), referred to a meal after fasting. Around mid-13 century, that meaning of dinner faded away, and around 15th century \"breakfast\" came into use in written English to describe a morning meal.\nAncient breakfast\nAncient Egypt\nIn Ancient Egypt, peasants ate a daily meal, most likely in the morning, consisting of soup, beer, bread, and onions before they left for work in the fields or work commanded by the pharaohs."]], "0_corpus": "wikipedia", "1_conv_id": "ca6ea03e90b442b9ba253f0752c63df5", "1_model_name": "nomic-ai/nomic-embed-text-v1.5", "1_prompt": "breakfast food", "1_output": [["breakfast food", "Meal\n\nBreakfast Breakfast is the first meal of a day, most often eaten in the early morning before undertaking the day's work. Some believe it to be the most important meal of the day. The word breakfast literally refers to breaking the fasting period of the prior night.\nBreakfast foods vary widely from place to place, but often include carbohydrates such as grains or cereals, fruit, vegetables, protein foods like eggs, meat or fish, and beverages such as tea, coffee, milk, or fruit juice, juices often taken first of all. Coffee, milk, tea, juice, breakfast cereals, pancakes, waffles, sausages, French toast, bacon, sweetened breads, fresh fruits, vegetables, eggs, baked beans, muffins, crumpets and toast with butter, margarine, jam or marmalade are common examples of Western breakfast foods, though a large range of preparations and ingredients are associated with breakfast globally.\nVariations of breakfast\nFull breakfast\nA full breakfast is a breakfast meal, usually including bacon, sausages, eggs, and a variety of other cooked foods, with hot beverages such as coffee or tea, or cold beverages such as juice or milk. It is especially popular in the UK and Ireland, to the extent that many cafés and pubs offer the meal at any time of day as an \"all-day breakfast\". It is also popular in other English-speaking countries."]], "1_corpus": "wikipedia"} {"tstamp": 1722477511.6738, "task_type": "retrieval", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "730bf69361074e0b81916cd891c04cfa", "0_model_name": "GritLM/GritLM-7B", "0_prompt": "history of the theorbo", "0_output": [["history of the theorbo", "Theorbo\n\nThe theorbo is a plucked string instrument of the lute family, with an extended neck that houses the second pegbox. Like a lute, a theorbo has a curved-back sound box with a flat top, typically with one or three sound holes decorated with rosettes. As with the lute, the player plucks or strums the strings with the right hand while \"fretting\" (pressing down) the strings with the left hand.\nThe theorbo is related to the liuto attiorbato, the French , the archlute, the German baroque lute, and the angélique (or angelica). A theorbo differs from a regular lute in its so-called re-entrant tuning in which the first two strings are tuned an octave lower. The theorbo was used during the Baroque music era (1600–1750) to play basso continuo accompaniment parts (as part of the basso continuo group, which often included harpsichord, pipe organ and bass instruments), and also as a solo instrument. It has a range similar to that of cello."]], "0_corpus": "wikipedia", "1_conv_id": "a718eef26b71428f88697ce84e7c4a7e", "1_model_name": "BAAI/bge-large-en-v1.5", "1_prompt": "history of the theorbo", "1_output": [["history of the theorbo", "Modulor\n\nHistory Le Corbusier developed the Modulor in the long tradition of Vitruvius, Leonardo da Vinci's Vitruvian Man, the work of Leon Battista Alberti, and other attempts to discover mathematical proportions in the human body and then to use that knowledge to improve both the appearance and function of architecture. The system is inspired by but does not exactly correspond to human measurements, and it also draws inspiration from the double unit, the Fibonacci numbers, and the golden ratio. Le Corbusier described it as a \"range of harmonious measurements to suit the human scale, universally applicable to architecture and to mechanical things\".\nWith the Modulor, Le Corbusier sought to introduce a scale of visual measures that would unite two virtually incompatible systems: the Anglo-Saxon foot and inch and the international metric system. Whilst he was intrigued by ancient civilisations who used measuring systems linked to the human body: elbow (cubit), finger (digit), thumb (inch) etc., he was troubled by the metre as a measure that was a forty-millionth part of the meridian of the earth.\nIn 1943, in response to the French National Organisation for Standardisation's (AFNOR) requirement for standardising all the objects involved in the construction process, Le Corbusier asked an apprentice to consider a scale based upon a man with his arm raised to 2.20 m in height. The result, in August 1943 was the first graphical representation of the derivation of the scale. This was refined after a visit to the Dean of the Faculty of Sciences in Sorbonne on 7 February 1945 which resulted in the inclusion of a golden section into the representation."]], "1_corpus": "wikipedia"} {"tstamp": 1722477555.8126, "task_type": "retrieval", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "922731a57c5e4024a463c2a6a77dd2a4", "0_model_name": "text-embedding-004", "0_prompt": "how much does the average bee weigh?", "0_output": [["how much does the average bee weigh?", "Bee\n\nThe thorax has three segments, each with a pair of robust legs, and a pair of membranous wings on the hind two segments. The front legs of corbiculate bees bear combs for cleaning the antennae, and in many species the hind legs bear pollen baskets, flattened sections with incurving hairs to secure the collected pollen. The wings are synchronised in flight, and the somewhat smaller hind wings connect to the forewings by a row of hooks along their margin which connect to a groove in the forewing.\nThe abdomen has nine segments, the hindermost three being modified into the sting.\nThe largest species of bee is thought to be Wallace's giant bee Megachile pluto, whose females can attain a length of . The smallest species may be dwarf stingless bees in the tribe Meliponini whose workers are less than in length.\nSociality\nHaplodiploid breeding system\nAccording to inclusive fitness theory, organisms can gain fitness not just through increasing their own reproductive output, but also that of close relatives. In evolutionary terms, individuals should help relatives when Cost < Relatedness * Benefit. The requirements for eusociality are more easily fulfilled by haplodiploid species such as bees because of their unusual relatedness structure."]], "0_corpus": "wikipedia", "1_conv_id": "efa98ce920f74f9ea5254183af61071c", "1_model_name": "Alibaba-NLP/gte-Qwen2-7B-instruct", "1_prompt": "how much does the average bee weigh?", "1_output": [["how much does the average bee weigh?", "Bee hummingbird\n\nThe bee hummingbird, zunzuncito or Helena hummingbird (Mellisuga helenae) is a species of hummingbird, native to the island of Cuba in the Caribbean. It is the smallest known bird. The bee hummingbird feeds on nectar of flowers and bugs found in Cuba.\nDescription\nThe bee hummingbird is the smallest living bird. Females weigh and are long, and are slightly larger than males, which have an average weight of and length of . Like all hummingbirds, it is a swift, strong flier."]], "1_corpus": "wikipedia"} {"tstamp": 1722477690.0361, "task_type": "retrieval", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "58a5907c3f6a4989be0d4192a732cf8c", "0_model_name": "Salesforce/SFR-Embedding-2_R", "0_prompt": "What's the purpose of `if __name__ == '__main__'`?", "0_output": [["What's the purpose of `if __name__ == '__main__'`?", "Stackoverflow Stackexchange\n\nQ: What does `if name == \"__main__\"` mean in Python? \nPossible Duplicate:\nWhat does do? \n\nI have wrote scripts in Python for quite a while now and I study more of Python as I need it. When reading other people's code I meet if name == \"__main__\": construct quite often. \nWhat is it good for?\n\nA: Basically, \nThere's a distinction between the \"main\" script file and external files which were imported or referenced in another way. If the script is the \"main\" script then the special variable __name__ will equal \"__main__\".\nYou can use this to protect the \"execution\" code from the classes and variables the script has. This enables you to import a script and use classes and variables without actually running that script's main code if it has any.\nSee also: What does if name == “main”: do?\n"]], "0_corpus": "stackexchange", "1_conv_id": "4c31df99242a49faa326a8ebb6f2d0b6", "1_model_name": "BAAI/bge-large-en-v1.5", "1_prompt": "What's the purpose of `if __name__ == '__main__'`?", "1_output": [["What's the purpose of `if __name__ == '__main__'`?", "Stackoverflow Stackexchange\n\nQ: Why does it do this ? if - __name__ == '__main__' \nDuplicate of:\nWhat does if __name__== \"__main__\" do? \n\nConsider this code:\nif __name__ == '__main__':\n import pdb\n pdb.run(\"interact()\\n\")\n\nWhat does the following line mean?\nif(__name__=='__main__')\n\nI fainted.\n\nA: That is a check to see if you are directly running the script or if it is included in a library.\nWhen you run a python script like this:\npython myScript.py\n\nIt sends a parameter, telling you to run the programs first method, which is widely called \"main\", so when __name__ is __main__ you know that the program was executed from a command line or double clicked.\n"]], "1_corpus": "stackexchange"} {"tstamp": 1722478667.864, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "e2873acf0420408786e8ddbb9dbfa6dc", "0_model_name": "Alibaba-NLP/gte-Qwen2-7B-instruct", "0_prompt": "Which test was devised to determine whether robots can think?", "0_output": [["Which test was devised to determine whether robots can think?", "Chinese room\n\nSearle does not disagree that AI research can create machines that are capable of highly intelligent behavior. The Chinese room argument leaves open the possibility that a digital machine could be built that acts more intelligently than a person, but does not have a mind or intentionality in the same way that brains do.\nSearle's \"strong AI hypothesis\" should not be confused with \"strong AI\" as defined by Ray Kurzweil and other futurists, who use the term to describe machine intelligence that rivals or exceeds human intelligence -- that is, artificial general intelligence, human level AI or superintelligence. Kurzweil is referring primarily to the amount of intelligence displayed by the machine, whereas Searle's argument sets no limit on this. Searle argues that a superintelligent machine would not necessarily have a mind and consciousness.\nTuring test\nThe Chinese room implements a version of the Turing test. Alan Turing introduced the test in 1950 to help answer the question \"can machines think?\" In the standard version, a human judge engages in a natural language conversation with a human and a machine designed to generate performance indistinguishable from that of a human being. All participants are separated from one another. If the judge cannot reliably tell the machine from the human, the machine is said to have passed the test."]], "0_corpus": "wikipedia", "1_conv_id": "3751d9c0c040481087277eabf6ec4237", "1_model_name": "nomic-ai/nomic-embed-text-v1.5", "1_prompt": "Which test was devised to determine whether robots can think?", "1_output": [["Which test was devised to determine whether robots can think?", "Turing test\n\nThe Turing test, originally called the imitation game by Alan Turing in 1950, is a test of a machine's ability to exhibit intelligent behaviour equivalent to, or indistinguishable from, that of a human. Turing proposed that a human evaluator would judge natural language conversations between a human and a machine designed to generate human-like responses. The evaluator would be aware that one of the two partners in conversation was a machine, and all participants would be separated from one another. The conversation would be limited to a text-only channel, such as a computer keyboard and screen, so the result would not depend on the machine's ability to render words as speech. If the evaluator could not reliably tell the machine from the human, the machine would be said to have passed the test. The test results would not depend on the machine's ability to give correct answers to questions, only on how closely its answers resembled those a human would give. Since the Turing test is a test of indistinguishability in performance capacity, the verbal version generalizes naturally to all of human performance capacity, verbal as well as nonverbal (robotic)."]], "1_corpus": "wikipedia"} {"tstamp": 1722478730.686, "task_type": "retrieval", "type": "bothbadvote", "models": ["", ""], "ip": "", "0_conv_id": "6c12834a0cc14f3e963f1164622a03d5", "0_model_name": "Alibaba-NLP/gte-Qwen2-7B-instruct", "0_prompt": "Find me a planet near α 23h 06m 29.368s and δ −05° 02′ 29.04″ that could be habitable.", "0_output": [["Find me a planet near α 23h 06m 29.368s and δ −05° 02′ 29.04″ that could be habitable.", "Eyeball planet\n\nAn eyeball planet is a hypothetical type of tidally locked planet, for which tidal locking induces spatial features (for example in the geography or composition of the planet) resembling an eyeball. They are terrestrial planets where liquids may be present, in which tidal locking will induce a spatially dependent temperature gradient (the planet will be hotter on the side facing the star and colder on the other side). This temperature gradient may therefore limit the places in which liquid may exist on the surface of the planet to ring-or disk-shaped areas.\nSuch planets are further divided into \"hot\" and \"cold\" eyeball planets, depending on which side of the planet the liquid is present. A \"hot\" eyeball planet is usually closer to its host star, and the centre of the \"eye\", facing the star (day side), is made of rock while liquid is present on the opposite side (night side). A \"cold\" eyeball planet, usually farther from the star, will have liquid on the side facing the host star while the rest of its surface is made of ice and rocks.\nBecause most planetary bodies have a natural tendency toward becoming tidally locked to their host body on a long enough timeline, eyeball planets may be common and could host life, particularly in planetary systems orbiting red and brown dwarf stars which have lifespans much longer than other main sequence stars.\nPotential candidates\nKepler-1652b is potentially an eyeball planet. The TRAPPIST-1 system may contain several such planets."]], "0_corpus": "wikipedia", "1_conv_id": "906ef9af1c504ff19afed88ee9af9a3a", "1_model_name": "text-embedding-3-large", "1_prompt": "Find me a planet near α 23h 06m 29.368s and δ −05° 02′ 29.04″ that could be habitable.", "1_output": [["Find me a planet near α 23h 06m 29.368s and δ −05° 02′ 29.04″ that could be habitable.", "Alpha Centauri\n\nIn 2009, computer simulations showed that a planet might have been able to form near the inner edge of Alpha Centauri B's habitable zone, which extends from from the star. Certain special assumptions, such as considering that the Alpha Centauri pair may have initially formed with a wider separation and later moved closer to each other (as might be possible if they formed in a dense star cluster), would permit an accretion-friendly environment farther from the star. Bodies around Alpha Centauri A would be able to orbit at slightly farther distances due to its stronger gravity. In addition, the lack of any brown dwarfs or gas giants in close orbits around Alpha Centauri make the likelihood of terrestrial planets greater than otherwise. A theoretical study indicates that a radial velocity analysis might detect a hypothetical planet of in Alpha Centauri B's habitable zone.\nRadial velocity measurements of Alpha Centauri B made with the High Accuracy Radial Velocity Planet Searcher spectrograph were sufficiently sensitive to detect a planet within the habitable zone of the star (i.e. with an orbital period P = 200 days), but no planets were detected.\nCurrent estimates place the probability of finding an Earth-like planet around Alpha Centauri at roughly 75%. The observational thresholds for planet detection in the habitable zones by the radial velocity method are currently (2017) estimated to be about for Alpha Centauri A, for Alpha Centauri B, and for Proxima Centauri.\nEarly computer-generated models of planetary formation predicted the existence of terrestrial planets around both Alpha Centauri A and B, but most recent numerical investigations have shown that the gravitational pull of the companion star renders the accretion of planets difficult. Despite these difficulties, given the similarities to the Sun in spectral types, star type, age and probable stability of the orbits, it has been suggested that this stellar system could hold one of the best possibilities for harbouring extraterrestrial life on a potential planet."]], "1_corpus": "wikipedia"} {"tstamp": 1722480736.3778, "task_type": "retrieval", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "ad92e4bdcc814763a39e4cb2f11da25f", "0_model_name": "sentence-transformers/all-MiniLM-L6-v2", "0_prompt": "Which test was devised to determine whether robots can think?", "0_output": [["Which test was devised to determine whether robots can think?", "History of robots\n\nIt features a female humanoid automaton standing by a basin filled with water.When the user pulls the lever, the water drains and the female automaton refills the basin. Furthermore, he created a robotic musical band. According to Mark Rosheim, unlike Greek designs Arab automata worked with dramatic illusion and manipulated the human perception for practical application. The segmental gears described in The Book of Knowledge of Ingenious Mechanical Devices, published by Al-Jazari shortly before his death in 1206, appeared 100 years later in the most advanced European clocks. Al-Jazari also published instructions on the construction of humanoid automata. The first water clocks modeled on Arabic designs were constructed in Europe about 1000 CE, possibly on the basis of the information that was transmitted during Muslim-Christian contact in Sicily and Spain. Among the first recorded European water clocks is that of Gerbert of Aurillac, built in 985 CE. Hero's works on automata were translated into Latin amid the 12th century Renaissance. The early 13th-century artist-engineer Villard de Honnecourt sketched plans for several automata. "]], "0_corpus": "wikipedia", "1_conv_id": "c8a7d5ffd188448b96f585e52f5ec1d3", "1_model_name": "voyage-multilingual-2", "1_prompt": "Which test was devised to determine whether robots can think?", "1_output": [["Which test was devised to determine whether robots can think?", "Turing test\n\nThe test was introduced by Turing in his 1950 paper \"Computing Machinery and Intelligence\" while working at the University of Manchester. It opens with the words: \"I propose to consider the question, 'Can machines think? Because \"thinking\" is difficult to define, Turing chooses to \"replace the question by another, which is closely related to it and is expressed in relatively unambiguous words.\" Turing describes the new form of the problem in terms of a three-person game called the \"imitation game\", in which an interrogator asks questions of a man and a woman in another room in order to determine the correct sex of the two players. Turing's new question is: \"Are there imaginable digital computers which would do well in the imitation game?\" This question, Turing believed, was one that could actually be answered. In the remainder of the paper, he argued against all the major objections to the proposition that \"machines can think\".\nSince Turing introduced his test, it has been both highly influential and widely criticized, and has become an important concept in the philosophy of artificial intelligence. Philosopher John Searle would comment on the Turing test in his Chinese room argument, a thought experiment that stipulates that a machine cannot have a \"mind\", \"understanding\", or \"consciousness\", regardless of how intelligently or human-like the program may make the computer behave. Searle criticizes Turing's test and claims it is insufficient to detect the presence of consciousness.\nHistory"]], "1_corpus": "wikipedia"} {"tstamp": 1722480769.1922, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "f3195e7d0926492eababccc04e0a9ed9", "0_model_name": "nomic-ai/nomic-embed-text-v1.5", "0_prompt": "A comprehensive study on introducing backdoors to pre-trained NLP models affecting multiple downstream tasks.", "0_output": [["A comprehensive study on introducing backdoors to pre-trained NLP models affecting multiple downstream tasks.", "Title: BadPre: Task-agnostic Backdoor Attacks to Pre-trained NLP Foundation Models\n\nAbstract: Pre-trained Natural Language Processing (NLP) models can be easily adapted to a variety of downstream language tasks. This significantly accelerates the development of language models. However, NLP models have been shown to be vulnerable to backdoor attacks, where a pre-defined trigger word in the input text causes model misprediction. Previous NLP backdoor attacks mainly focus on some specific tasks. This makes those attacks less general and applicable to other kinds of NLP models and tasks. In this work, we propose \\Name, the first task-agnostic backdoor attack against the pre-trained NLP models. The key feature of our attack is that the adversary does not need prior information about the downstream tasks when implanting the backdoor to the pre-trained model. When this malicious model is released, any downstream models transferred from it will also inherit the backdoor, even after the extensive transfer learning process. We further design a simple yet effective strategy to bypass a state-of-the-art defense. Experimental results indicate that our approach can compromise a wide range of downstream NLP tasks in an effective and stealthy way."]], "0_corpus": "arxiv", "1_conv_id": "c78018c0542f499dabcdfe0471b94e69", "1_model_name": "Alibaba-NLP/gte-Qwen2-7B-instruct", "1_prompt": "A comprehensive study on introducing backdoors to pre-trained NLP models affecting multiple downstream tasks.", "1_output": [["A comprehensive study on introducing backdoors to pre-trained NLP models affecting multiple downstream tasks.", "Title: Backdoor Learning for NLP: Recent Advances, Challenges, and Future Research Directions\n\nAbstract: Although backdoor learning is an active research topic in the NLP domain, the literature lacks studies that systematically categorize and summarize backdoor attacks and defenses. To bridge the gap, we present a comprehensive and unifying study of backdoor learning for NLP by summarizing the literature in a systematic manner. We first present and motivate the importance of backdoor learning for building robust NLP systems. Next, we provide a thorough account of backdoor attack techniques, their applications, defenses against backdoor attacks, and various mitigation techniques to remove backdoor attacks. We then provide a detailed review and analysis of evaluation metrics, benchmark datasets, threat models, and challenges related to backdoor learning in NLP. Ultimately, our work aims to crystallize and contextualize the landscape of existing literature in backdoor learning for the text domain and motivate further research in the field. To this end, we identify troubling gaps in the literature and offer insights and ideas into open challenges and future research directions. Finally, we provide a GitHub repository with a list of backdoor learning papers that will be continuously updated at https://github.com/marwanomar1/Backdoor-Learning-for-NLP."]], "1_corpus": "arxiv"} {"tstamp": 1722480835.5171, "task_type": "retrieval", "type": "bothbadvote", "models": ["", ""], "ip": "", "0_conv_id": "04b14bf9ac574a3b820861af7e0967f6", "0_model_name": "jinaai/jina-embeddings-v2-base-en", "0_prompt": "who has won the most united states championships", "0_output": [["who has won the most united states championships", "List of players who have won the most NFL championships\n\nSeven championships Tom Brady (quarterback) won Super Bowls XXXVI, XXXVIII, XXXIX, XLIX, LI, and LIII with the New England Patriots after the 2001, 2003, 2004, 2014, 2016, and 2018 seasons, respectively. He won Super Bowl LV with the Tampa Bay Buccaneers after the 2020 season.\nSix championships\nThree players have won six championships counting the pre-Super Bowl era. To avoid double counting from 1966 to 1969, only the NFL championships from 1920–1965 and the Super Bowls from 1966 onward are counted.\nFuzzy Thurston (offensive lineman) won the NFL championships with the Baltimore Colts in 1958, with the Green Bay Packers in 1961, 1962 and 1965, and won Super Bowls I and II with the Packers after the 1966 and 1967 seasons, respectively.\nForrest Gregg (offensive lineman) won the NFL championships with the Green Bay Packers in 1961, 1962 and 1965, Super Bowls I and II with the Packers after the 1966 and 1967 seasons, respectively, and Super Bowl VI with the Dallas Cowboys after the 1971 season.\nHerb Adderley (defensive back) won the NFL championships with the Green Bay Packers in 1961, 1962 and 1965, Super Bowls I and II with the Packers after the 1966 and 1967 seasons, respectively, and Super Bowl VI with the Dallas Cowboys after the 1971 season.\nFive championships\n13 players have won 5 championships counting the pre-Super Bowl era; with the exception of Charles Haley, all were from the 1960s Packers."]], "0_corpus": "wikipedia", "1_conv_id": "c0b6a931cfe44dce90edf9491b22c113", "1_model_name": "text-embedding-3-large", "1_prompt": "who has won the most united states championships", "1_output": [["who has won the most united states championships", "WWE United States Championship\n\nReigns The inaugural champion was Harley Race. There have been 102 different champions, with Ric Flair having the most reigns at six. The longest-reigning champion is Lex Luger, who held the title for 523 days from May 22, 1989, to October 27, 1990. \"Stunning\" Steve Austin's second reign was the shortest, lasting approximately five minutes. Dean Ambrose is the longest-reigning champion under the WWE banner at 351 days, lasting from May 19, 2013, to May 5, 2014. Booker T and Seth Rollins are the only two men to have held both the United States Championship and a world championship simultaneously; in Booker T's case, the world title was the WCW World Heavyweight Championship, while Rollins held the WWE World Heavyweight Championship (both Lex Luger and Goldberg were the United States Champion when they won their first world championship, but unlike Booker T and Rollins, they vacated the United States Championship after winning their world championships). Terry Funk is the oldest champion in the title's history, winning the title at the age of 56 on September 22, 2000, while David Flair is the youngest at the age of 20 on July 5, 1999. Between NWA/WCW and WWE, the title has been vacated 21 times.\nLogan Paul is the current champion in his first reign. He defeated Rey Mysterio at Crown Jewel on November 4, 2023, in Riyadh, Saudi Arabia."]], "1_corpus": "wikipedia"} {"tstamp": 1722480887.4306, "task_type": "retrieval", "type": "bothbadvote", "models": ["", ""], "ip": "", "0_conv_id": "6d084ebc68fa43d5bc03d994a57883b3", "0_model_name": "BM25", "0_prompt": "how did the sword of gryffindor get back to hogwarts?", "0_output": [["how did the sword of gryffindor get back to hogwarts?", "Scifi Stackexchange\n\nQ: Why didn't Voldemort create a Horcrux with a Gryffindor heirloom? Voldemort was said to be very interested in the four founders of Hogwarts. He created a Horcrux from the Ravenclaw diadem, the Hufflepuff cup, and the Slytherin locket. Did he try to find a Gryffindor relic to complete the set, or did he not bother? \nI can't see him giving up on such a task, but maybe there was insufficient time.\nGryffindor's sword was hiding 'inside' the Sorting Hat, but a famous family usually has some other heirlooms too.\nIf there are no canon answers I'd be interested in your own speculation!\n\nA: Even though he probably didn't realize it, he did have a Horcrux in each house.\n\n\n*\n\n*The Locket/Slytherin.\n\n*The Cup/Hufflepuff.\n\n*The Diadem/Ravenclaw.\n\n*Harry Potter/Gryffindor.\n\n"]], "0_corpus": "stackexchange", "1_conv_id": "00caee2bd8af4052bd5bbd6fcc442e99", "1_model_name": "voyage-multilingual-2", "1_prompt": "how did the sword of gryffindor get back to hogwarts?", "1_output": [["how did the sword of gryffindor get back to hogwarts?", "Scifi Stackexchange\n\nQ: How does Neville Longbottom get the Sword of Gryffindor? I recently read the final book of the series. At one point was the vault heist, where the goblin Griphook runs off with the Sword of Gryffindor. Yet near the end of the book, Neville Longbottom suddenly has the sword and uses it to defeat the snake Nagini.\nHow could this be possible? Griphook wanted the sword because it was goblin-made, so I doubt he would given it over to any non-goblin. How does Neville suddenly get the sword?\n\nA: In the movie the sword materialises (from the hat??), which backs up the \"it shows up just as a true Gryffindor needs it\" idea. In Pottermore [SPOILER] JKR writes about the Sorting Hat being very adamant about placing Neville in Gryffindor (despite his hesitations), which adds some credence to \"true Gryffindor\".\n"]], "1_corpus": "stackexchange"} {"tstamp": 1722480922.2026, "task_type": "retrieval", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "0e4399aeddca4d6f88f44635a9c35069", "0_model_name": "text-embedding-3-large", "0_prompt": "who took over the dutch colony in north america", "0_output": [["who took over the dutch colony in north america", "Dutch colonial empire\n\nOn the north-east coast of North America, the West India Company took over a settlement that had been established by the Company of New Netherland (1614–1618) at Fort Orange at Albany on the Hudson River, relocated from Fort Nassau which had been founded in 1614. The Dutch had been sending ships annually to the Hudson River to trade fur since Henry Hudson's voyage of 1609. To protect its precarious position at Albany from the nearby English and French, the Company founded the fortified town of New Amsterdam in 1625, at the mouth of the Hudson, encouraging settlement of the surrounding areas of Long Island and New Jersey. The fur trade ultimately proved impossible for the company to monopolize due to the massive illegal private trade in furs, and the settlement of New Netherland was unprofitable. In 1655, the nearby colony of New Sweden on the Delaware River was forcibly absorbed into New Netherland after ships and soldiers were sent to capture it by the Dutch governor, Pieter Stuyvesant.\nSince its inception, the Dutch East India Company had been in competition with its counterpart, the English East India Company, founded two years earlier but with a capital base eight times smaller, for the same goods and markets in the East. In 1619, the rivalry resulted in the Amboyna massacre, when several English Company men were executed by agents of the Dutch. The event remained a source of English resentment for several decades, and indeed was used as a cause célèbre as late as the Second Anglo-Dutch War in the 1660s; nevertheless, in the late 1620s the English Company shifted its focus from Indonesia to India."]], "0_corpus": "wikipedia", "1_conv_id": "20134d07436545838316ad723a9e3fc0", "1_model_name": "BAAI/bge-large-en-v1.5", "1_prompt": "who took over the dutch colony in north america", "1_output": [["who took over the dutch colony in north america", "European colonization of the Americas\n\nDutch The Netherlands had been part of the Spanish Empire, due to the inheritance of Charles V of Spain. Many Dutch people converted to Protestantism and sought their political independence from Spain. They were a seafaring nation and built a global empire in regions where the Portuguese had originally explored. In the Dutch Golden Age, it sought colonies. In the Americas, the Dutch conquered the northeast of Brazil in 1630, where the Portuguese had built sugar cane plantations worked by black slave labor from Africa. Prince Johan Maurits van Nassau-Siegen became the administrator of the colony (1637–43), building a capital city and royal palace, fully expecting the Dutch to retain control of this rich area. As the Dutch had in Europe, it tolerated the presence of Jews and other religious groups in the colony. After Maurits departed in 1643, the Dutch West India Company took over the colony, until it was lost to the Portuguese in 1654. The Dutch retained some territory in Dutch Guiana, now Suriname. The Dutch also seized islands in the Caribbean that Spain had originally claimed but had largely abandoned, including Sint Maarten in 1618, Bonaire in 1634, Curaçao in 1634, Sint Eustatius in 1636, Aruba in 1637, some of which remain in Dutch hands and retain Dutch cultural traditions."]], "1_corpus": "wikipedia"} {"tstamp": 1722484163.8474, "task_type": "retrieval", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "b25dd1760ab1490bb53f7ee7208756b3", "0_model_name": "sentence-transformers/all-MiniLM-L6-v2", "0_prompt": "vaporwave", "0_output": [["vaporwave", "Vaporwave\n\nVaporwave was subsumed under a larger \"Tumblr aesthetic\" that had become fashionable in underground digital music and art scenes of the 2010s. In 2010, Lopatin included several of the tracks from Memory Vague, as well as a few new ones, on his album Chuck Person's Eccojams Vol. 1, released in August under the alias \"Chuck Person\". With packaging that resembled the 1993 video game Ecco the Dolphin, the album inspired a host of suburban teens and young adults to formulate what would become vaporwave. Seapunk followed in mid-2011 as an aquatic-themed Tumblr subculture and Internet meme that presaged vaporwave in its concern for \"spacey\" electronic music and Geocities web graphics. Like vaporwave, it was defined by its engagement with the Internet, an approach that is sometimes described as post-Internet.\nThe musical template for vaporwave came from Eccojams and Ferraro's Far Side Virtual (October 2011). Eccojams featured chopped and screwed variations on popular 1980s pop songs, while Far Side Virtual drew primarily on \"the grainy and bombastic beeps\" of past media such as Skype and the Nintendo Wii. According to Stereogums Miles Bowe, vaporwave was a fusion between Lopatin's \"chopped and screwed plunderphonics\" and the \"nihilistic easy-listening of James Ferraro's Muzak-hellscapes\". A 2013 post on a music blog presented those albums, along with Skeleton's Holograms (November 2010), as \"proto vaporwave\"."]], "0_corpus": "wikipedia", "1_conv_id": "a257eeda0d344b8d8d8b69943e37116a", "1_model_name": "Salesforce/SFR-Embedding-2_R", "1_prompt": "vaporwave", "1_output": [["vaporwave", "Vaporwave\n\nVaporwave is a microgenre of electronic music and a subgenre of hauntology, a visual art style, and an Internet meme that emerged in the early 2010s, and became well-known in 2015. It is defined partly by its slowed-down, chopped and screwed samples of smooth jazz, 1970s elevator music, R&B, and lounge music from the 1980s and 1990s. The surrounding subculture is sometimes associated with an ambiguous or satirical take on consumer capitalism and pop culture, and tends to be characterized by a nostalgic or surrealist engagement with the popular entertainment, technology and advertising of previous decades. Visually, it incorporates early Internet imagery, late 1990s web design, glitch art, anime, stylized Greek sculptures, 3D-rendered objects, and cyberpunk tropes in its cover artwork and music videos.\nVaporwave originated as an ironic variant of chillwave, evolving from hypnagogic pop as well as similar retro-revivalist and post-Internet motifs that had become fashionable in underground digital music and art scenes of the era, such as Tumblr's seapunk. The style was pioneered by producers such as James Ferraro, Daniel Lopatin and Ramona Xavier, who each used various pseudonyms. After Xavier's album Floral Shoppe (2011) established a blueprint for the genre, the movement built an audience on sites Last.fm, Reddit and 4chan while a flood of new acts, also operating under online pseudonyms, turned to Bandcamp for distribution."]], "1_corpus": "wikipedia"} {"tstamp": 1722484226.0524, "task_type": "retrieval", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "59c84d9e453e49b29ed89f0f369afdfa", "0_model_name": "intfloat/multilingual-e5-large-instruct", "0_prompt": "persona", "0_output": [["persona", "Title: Toward Stance-based Personas for Opinionated Dialogues\n\nAbstract: In the context of chit-chat dialogues it has been shown that endowing systems with a persona profile is important to produce more coherent and meaningful conversations. Still, the representation of such personas has thus far been limited to a fact-based representation (e.g. \"I have two cats.\"). We argue that these representations remain superficial w.r.t. the complexity of human personality. In this work, we propose to make a step forward and investigate stance-based persona, trying to grasp more profound characteristics, such as opinions, values, and beliefs to drive language generation. To this end, we introduce a novel dataset allowing to explore different stance-based persona representations and their impact on claim generation, showing that they are able to grasp abstract and profound aspects of the author persona."]], "0_corpus": "arxiv", "1_conv_id": "80c24416ffbc41478e5152b02e86d0f4", "1_model_name": "GritLM/GritLM-7B", "1_prompt": "persona", "1_output": [["persona", "Title: A Persona-Based Neural Conversation Model\n\nAbstract: We present persona-based models for handling the issue of speaker consistency in neural response generation. A speaker model encodes personas in distributed embeddings that capture individual characteristics such as background information and speaking style. A dyadic speaker-addressee model captures properties of interactions between two interlocutors. Our models yield qualitative performance improvements in both perplexity and BLEU scores over baseline sequence-to-sequence models, with similar gains in speaker consistency as measured by human judges."]], "1_corpus": "arxiv"} {"tstamp": 1722486696.5674, "task_type": "retrieval", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "900497a87ae946f2b060df82b9851089", "0_model_name": "Alibaba-NLP/gte-Qwen2-7B-instruct", "0_prompt": "How fast can a wombat run?", "0_output": [["How fast can a wombat run?", "Aardvark\n\nHabitat and range Aardvarks are found in sub-Saharan Africa, where suitable habitat (savannas, grasslands, woodlands and bushland) and food (i.e., ants and termites) is available. They spend the daylight hours in dark burrows to avoid the heat of the day. The only major habitat that they are not present in is swamp forest, as the high water table precludes digging to a sufficient depth. They also avoid terrain rocky enough to cause problems with digging. They have been documented as high as in Ethiopia. They are present throughout sub-Saharan Africa all the way to South Africa with few exceptions including the coastal areas of Namibia, Ivory Coast, and Ghana. They are not found in Madagascar.\nEcology and behaviour\nAardvarks live for up to 23 years in captivity. Its keen hearing warns it of predators: lions, leopards, cheetahs, African wild dogs, hyenas, and pythons. Some humans also hunt aardvarks for meat. Aardvarks can dig fast or run in zigzag fashion to elude enemies, but if all else fails, they will strike with their claws, tail and shoulders, sometimes flipping onto their backs lying motionless except to lash out with all four feet. They are capable of causing substantial damage to unprotected areas of an attacker. They will also dig to escape as they can. Sometimes, when pressed, aardvarks can dig extremely quickly."]], "0_corpus": "wikipedia", "1_conv_id": "2b37bc7362e541d59eda9e49c49a7780", "1_model_name": "intfloat/e5-mistral-7b-instruct", "1_prompt": "How fast can a wombat run?", "1_output": [["How fast can a wombat run?", "Wombat\n\nWombats are short-legged, muscular quadrupedal marsupials of the family Vombatidae that are native to Australia. Living species are about in length with small, stubby tails and weigh between . They are adaptable and habitat tolerant, and are found in forested, mountainous, and heathland areas of southern and eastern Australia, including Tasmania, as well as an isolated patch of about in Epping Forest National Park in central Queensland."]], "1_corpus": "wikipedia"} {"tstamp": 1722486743.7104, "task_type": "retrieval", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "376d83968bd94f46b1efc326d1ad4b42", "0_model_name": "intfloat/multilingual-e5-large-instruct", "0_prompt": "What are some options for recsys architectures?", "0_output": [["What are some options for recsys architectures?", "ReFS\n\nResilient File System (ReFS), codenamed \"Protogon\", is a Microsoft proprietary file system introduced with Windows Server 2012 with the intent of becoming the \"next generation\" file system after NTFS.\nReFS was designed to overcome problems that had become significant over the years since NTFS was conceived, which are related to how data storage requirements have changed. These requirements arose from two major changes in storage systems and usage – the size of storage in use (large or massive arrays of multi-terabyte drives now being fairly common), and the need for continual reliability. As a result, the file system needs to be self-repairing (to prevent disk checking from being impractically slow or disruptive), along with abstraction or virtualization between physical disks and logical volumes.\nThe key design advantages of ReFS include automatic integrity checking and data scrubbing, elimination of the need for running chkdsk, protection against data degradation, built-in handling of hard disk drive failure and redundancy, integration of RAID functionality, a switch to copy/allocate on write for data and metadata updates, handling of very long paths and filenames, and storage virtualization and pooling, including almost arbitrarily sized logical volumes (unrelated to the physical sizes of the used drives).\nComparison with NTFS"]], "0_corpus": "wikipedia", "1_conv_id": "f0ef4dc777594fedaed202f309266d07", "1_model_name": "Salesforce/SFR-Embedding-2_R", "1_prompt": "What are some options for recsys architectures?", "1_output": [["What are some options for recsys architectures?", "Recommender system\n\nOverview Recommender systems usually make use of either or both collaborative filtering and content-based filtering (also known as the personality-based approach), as well as other systems such as knowledge-based systems. Collaborative filtering approaches build a model from a user's past behavior (items previously purchased or selected and/or numerical ratings given to those items) as well as similar decisions made by other users. This model is then used to predict items (or ratings for items) that the user may have an interest in. Content-based filtering approaches utilize a series of discrete, pre-tagged characteristics of an item in order to recommend additional items with similar properties.\nThe differences between collaborative and content-based filtering can be demonstrated by comparing two early music recommender systems, Last.fm and Pandora Radio.\nLast.fm creates a \"station\" of recommended songs by observing what bands and individual tracks the user has listened to on a regular basis and comparing those against the listening behavior of other users. Last.fm will play tracks that do not appear in the user's library, but are often played by other users with similar interests. As this approach leverages the behavior of users, it is an example of a collaborative filtering technique.\nPandora uses the properties of a song or artist (a subset of the 400 attributes provided by the Music Genome Project) to seed a \"station\" that plays music with similar properties. User feedback is used to refine the station's results, deemphasizing certain attributes when a user \"dislikes\" a particular song and emphasizing other attributes when a user \"likes\" a song. This is an example of a content-based approach."]], "1_corpus": "wikipedia"} {"tstamp": 1722495176.11, "task_type": "retrieval", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "5c79b101146f4ecd84bd69216e4e1c1b", "0_model_name": "text-embedding-3-large", "0_prompt": "what medical LLMs is out there?", "0_output": [["what medical LLMs is out there?", "Title: LLMs-Healthcare : Current Applications and Challenges of Large Language Models in various Medical Specialties\n\nAbstract: We aim to present a comprehensive overview of the latest advancements in utilizing Large Language Models (LLMs) within the healthcare sector, emphasizing their transformative impact across various medical domains. LLMs have become pivotal in supporting healthcare, including physicians, healthcare providers, and patients. Our review provides insight into the applications of Large Language Models (LLMs) in healthcare, specifically focusing on diagnostic and treatment-related functionalities. We shed light on how LLMs are applied in cancer care, dermatology, dental care, neurodegenerative disorders, and mental health, highlighting their innovative contributions to medical diagnostics and patient care. Throughout our analysis, we explore the challenges and opportunities associated with integrating LLMs in healthcare, recognizing their potential across various medical specialties despite existing limitations. Additionally, we offer an overview of handling diverse data types within the medical field."]], "0_corpus": "arxiv", "1_conv_id": "fb33411d7900485285f5fa5039d64941", "1_model_name": "text-embedding-004", "1_prompt": "what medical LLMs is out there?", "1_output": [["what medical LLMs is out there?", "Title: Large language models in medicine: the potentials and pitfalls\n\nAbstract: Large language models (LLMs) have been applied to tasks in healthcare, ranging from medical exam questions to responding to patient questions. With increasing institutional partnerships between companies producing LLMs and healthcare systems, real world clinical application is coming closer to reality. As these models gain traction, it is essential for healthcare practitioners to understand what LLMs are, their development, their current and potential applications, and the associated pitfalls when utilized in medicine. This review and accompanying tutorial aim to give an overview of these topics to aid healthcare practitioners in understanding the rapidly changing landscape of LLMs as applied to medicine."]], "1_corpus": "arxiv"} {"tstamp": 1722497076.256, "task_type": "retrieval", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "6cf2da5edcbe44f4a8d69338e28da46e", "0_model_name": "text-embedding-004", "0_prompt": "how many seasons are there for the good doctor", "0_output": [["how many seasons are there for the good doctor", "The Good Doctor (American TV series)\n\nDevelopment In May 2014, CBS Television Studios began development on an American remake of the hit South Korean medical drama Good Doctor with Daniel Dae Kim as producer. Kim explained the appeal of adapting the series as \"something that can fit into a recognizable world with a breadth of characters that can be explored in the long run\". The story of an autistic pediatric surgeon was to be set in Boston, and projected to air in August 2015, but CBS did not pick up the project, and it moved to Sony Pictures Television with a put pilot commitment from ABC in October 2016. The series was developed by David Shore who is credited as executive producer alongside Kim, Sebastian Lee and David Kim. ABC officially ordered the series to pilot in January 2017.\nOn May 11, 2017, ABC ordered to series as a co-production with Sony Pictures Television and ABC Studios, and it was officially picked up for a season of 18 episodes on October 3, 2017. On March 7, 2018, ABC renewed the series for a second season. On February 5, 2019, during the TCA press tour, ABC renewed the series for a third season which premiered on September 23, 2019. On February 10, 2020, ABC renewed the series for a fourth season which premiered on November 2, 2020. On August 6, 2020, it was reported that the fourth season opener is set to focus on the COVID-19 pandemic. On May 3, 2021, ABC renewed the series for a fifth season which premiered on September 27, 2021. On March 30, 2022, ABC renewed the series for a sixth season which premiered on October 3, 2022. On May 13, 2022, executive producer Liz Friedman was promoted to co-showrunner alongside Shore for the sixth season. On April 19, 2023, ABC renewed the series for a seventh season which premiered on February 20, 2024. On January 11, 2024, it was announced that the seventh season will be its final season."]], "0_corpus": "wikipedia", "1_conv_id": "a91e24086b6c47d598ea1e5b5da80416", "1_model_name": "sentence-transformers/all-MiniLM-L6-v2", "1_prompt": "how many seasons are there for the good doctor", "1_output": [["how many seasons are there for the good doctor", "The Good Doctor (American TV series)\n\nPaige Spara as Lea Dilallo-Murphy (seasons 2–7; recurring, season 1), Shaun's love interest until she left to pursue her dream. Later after she returned, they decide to be platonic close friends and roommates, but they finally became a couple in the season 3 finale. In season 4, she and Shaun were expecting a baby girl together before she has a miscarriage due to a medical problem. In the season 4 finale, Lea gets engaged to Shaun. In the season 5 finale, they get married. In season 6, she and Shaun are expecting a baby boy and she gives birth to Steven in the finale. In a flashforward in the series finale, Shaun and Lea have a daughter together as well. Lea worked as an automotive engineer in the first two seasons before becoming Glassman's assistant in season 3. In season 4, she has become the head of the hospital's IT department.\nJasika Nicole as Dr. Carly Lever (season 3; recurring seasons 1–2), the hospital's head and board certified pathologist introduced in season 1 who becomes Shaun's co-worker in season 2 and girlfriend in season 3. However, Carly breaks up with Shaun near the end of season 3 after realizing that he's in love with Lea."]], "1_corpus": "wikipedia"} {"tstamp": 1722497499.2227, "task_type": "retrieval", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "d407fb754a174d19b8610877eb5274ec", "0_model_name": "sentence-transformers/all-MiniLM-L6-v2", "0_prompt": "a paper which evaluates LLMs abilities to roleplay as a character", "0_output": [["a paper which evaluates LLMs abilities to roleplay as a character", "Title: Virtual signatures of dark sectors in Higgs couplings\n\nAbstract: Where collider searches for resonant invisible particles loose steam, dark sectors might leave their trace as virtual effects in precision observables. Here we explore this option in the framework of Higgs portal models, where a sector of dark fermions interacts with the standard model through a strong renormalizable coupling to the Higgs boson. We show that precise measurements of Higgs-gauge and triple Higgs interactions can probe dark fermions up to the TeV scale through virtual corrections. Observation prospects at the LHC and future lepton colliders are discussed for the so-called singlet-doublet model of Majorana fermions, a generalization of the bino-higgsino scenario in supersymmetry. We advocate a two-fold search strategy for dark sectors through direct and indirect observables."]], "0_corpus": "arxiv", "1_conv_id": "7f72633aeb9b4ed6b74dde06a6dbc22e", "1_model_name": "embed-english-v3.0", "1_prompt": "a paper which evaluates LLMs abilities to roleplay as a character", "1_output": [["a paper which evaluates LLMs abilities to roleplay as a character", "Title: Character-LLM: A Trainable Agent for Role-Playing\n\nAbstract: Large language models (LLMs) can be used to serve as agents to simulate human behaviors, given the powerful ability to understand human instructions and provide high-quality generated texts. Such ability stimulates us to wonder whether LLMs can simulate a person in a higher form than simple human behaviors. Therefore, we aim to train an agent with the profile, experience, and emotional states of a specific person instead of using limited prompts to instruct ChatGPT API. In this work, we introduce Character-LLM that teach LLMs to act as specific people such as Beethoven, Queen Cleopatra, Julius Caesar, etc. Our method focuses on editing profiles as experiences of a certain character and training models to be personal simulacra with these experiences. To assess the effectiveness of our approach, we build a test playground that interviews trained agents and evaluates whether the agents \\textit{memorize} their characters and experiences. Experimental results show interesting observations that help build future simulacra of humankind."]], "1_corpus": "arxiv"} {"tstamp": 1722500138.3172, "task_type": "retrieval", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "4b176b81cf88472caae1cfc0d81ce685", "0_model_name": "jinaai/jina-embeddings-v2-base-en", "0_prompt": "What's the purpose of `if __name__ == '__main__'`?", "0_output": [["What's the purpose of `if __name__ == '__main__'`?", "Stackoverflow Stackexchange\n\nQ: html dangerous tags to avoid while developing a chat application I am developing a chat application using PHP and jQuery... all messages sent by the chat pair are appended to a
. While doing this, I found that tags such as