Scheduled Commit

data/retrieval_battle-8d38bb89-1e1a-471a-8b9e-35c1f784690e.jsonl

@@ -13,3 +13,6 @@
 {"tstamp": 1722365346.4281, "task_type": "retrieval", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "c225cc29368447dca969428826fd3660", "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 <div>. While doing this, I found that tags such as <script> can be entered by users. What tags should I avoid while appending the user's message?\n\nA: Avoid tags that will inject content into the page:\n\n\n*\n\n*applet\n\n*script\n\n*style\n\n*link\n\n*iframe\n\n\nOther tags may be necessary to remove, as well. Maybe you don't want to embed images. These are things that you will need to determine. At the bare minimum, allow <p> and <br />.\n"]], "0_corpus": "stackexchange", "1_conv_id": "95f3ec488c314e2b81635422386eedb6", "1_model_name": "mixedbread-ai/mxbai-embed-large-v1", "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": 1722365495.8143, "task_type": "retrieval", "type": "bothbadvote", "models": ["", ""], "ip": "", "0_conv_id": "a4c7486a646e42299791238df7dd3ffd", "0_model_name": "mixedbread-ai/mxbai-embed-large-v1", "0_prompt": "what is dense retrieval", "0_output": [["what is dense retrieval", "Latent semantic analysis\n\nSemantic hashing In semantic hashing  documents are mapped to memory addresses by means of a neural network in such a way that semantically similar documents are located at nearby addresses. Deep neural network essentially builds a graphical model of the word-count vectors obtained from a large set of documents. Documents similar to a query document can then be found by simply accessing all the addresses that differ by only a few bits from the address of the query document. This way of extending the efficiency of hash-coding to approximate matching is much faster than locality sensitive hashing, which is the fastest current method.\nLatent semantic indexing\nLatent semantic indexing (LSI) is an indexing and retrieval method that uses a mathematical technique called singular value decomposition (SVD) to identify patterns in the relationships between the terms and concepts contained in an unstructured collection of text.  LSI is based on the principle that words that are used in the same contexts tend to have similar meanings.  A key feature of LSI is its ability to extract the conceptual content of a body of text by establishing associations between those terms that occur in similar contexts.\nLSI is also an application of correspondence analysis, a multivariate statistical technique developed by Jean-Paul Benzécri in the early 1970s, to a contingency table built from word counts in documents."]], "0_corpus": "wikipedia", "1_conv_id": "960bea43fd02452d9429b486a6719b0e", "1_model_name": "Salesforce/SFR-Embedding-2_R", "1_prompt": "what is dense retrieval", "1_output": [["what is dense retrieval", "Information retrieval\n\nInformation retrieval (IR) in computing and information science is the task of identifying and retrieving information system resources that are relevant to an information need.  The information need can be specified in the form of a search query. In the case of document retrieval, queries can be based on full-text or other content-based indexing. Information retrieval is the science of searching for information in a document, searching for documents themselves, and also searching for the metadata that describes data, and for databases of texts, images or sounds.\nAutomated information retrieval systems are used to reduce what has been called information overload. An IR system is a software system that provides access to books, journals and other documents; it also stores and manages those documents. Web search engines are the most visible IR applications."]], "1_corpus": "wikipedia"}
 {"tstamp": 1722367648.9929, "task_type": "retrieval", "type": "bothbadvote", "models": ["", ""], "ip": "", "0_conv_id": "cd65862465c04ec5b52a5544b3e095b7", "0_model_name": "text-embedding-3-large", "0_prompt": "Which milk is best for coffee?", "0_output": [["Which milk is best for coffee?", "Milk coffee\n\nMilk coffee is a category of coffee-based drinks made with milk.\nJohan Nieuhof, the Dutch ambassador to China, is credited as the first person to drink coffee with milk when he experimented with it around 1660.\nVarieties\nBreve\nA breve is an espresso made with a steamed mixture of half milk and half cream (i.e., half and half). Its size can vary. The name relates to the use of cream and milk."]], "0_corpus": "wikipedia", "1_conv_id": "2fbbfb6ab1f24128a2e01dc01a678ac0", "1_model_name": "BM25", "1_prompt": "Which milk is best for coffee?", "1_output": [["Which milk is best for coffee?", "Cha chaan teng\n\nBlack coffee: Hongkongers usually called this jaai fea (lit. \"vegetarian coffee\" / \"just coffee\", emphasising its plain texture) or \"fei sha jaau naai\" (lit. \"get rid of sand and milk\", i.e. coffee without sugar (the \"sand\") and milk)\nHong Kong-style milk tea: A highly popular drink in Hong Kong. Its standard is judged by its aroma, smoothness, and concentration. The tea is soaked in an iron container for several hours to let the flavour come out. If the customer wants condensed milk instead of normal milk, people will often say \"caa zau\" (lit. \"tea go\")\nSweet soy milk (豆漿): Soy milk sweetened with cane sugar and served either hot or cold.\nYuenyeung: A mixture of coffee and tea, originated in Hong Kong. According to traditional Chinese medicine, coffee and tea are \"hot\" and \"cold\" in nature, respectively. A mixing of both thus then yields the best combination for the beverage.\nBlack and White Yuenyeung: A mixture of Ovaltine and Horlicks, originated in Hong Kong.\nHorlicks\nOvaltine\nLemon Tea\nLemonade: Commonly served without sugar or syrup.\nLemon with Ribena\nLemon with Honey: Often, to reduce cost, the honey is replaced with \"Watercress Honey\"\nSalted lemon with 7-Up (鹹檸七): 7-Up, adding lemon marinated in salt, which is good for sore throat\nBlack cow (黑牛): Coca-Cola with vanilla ice cream.\nSnow White (白雪公主): Sprite or 7-Up with vanilla ice cream."]], "1_corpus": "wikipedia"}
+{"tstamp": 1722368441.9754, "task_type": "retrieval", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "99bcf2d0a9da49e1807d4f54cc274227", "0_model_name": "sentence-transformers/all-MiniLM-L6-v2", "0_prompt": "Who is gwbush", "0_output": [["Who is gwbush", "Wabush\n\nWabush is a small town in the western tip of Labrador, bordering Quebec, known for transportation and iron ore operations."]], "0_corpus": "wikipedia", "1_conv_id": "99afcc82ac07410d83cc24502ec8af33", "1_model_name": "intfloat/e5-mistral-7b-instruct", "1_prompt": "Who is gwbush", "1_output": [["Who is gwbush", "George W. Bush\n\nGeorge Walker Bush (born July 6, 1946) is an American politician and businessman who served as the 43rd president of the United States from 2001 to 2009. A member of the Republican Party, he previously served as the 46th governor of Texas from 1995 to 2000."]], "1_corpus": "wikipedia"}
+{"tstamp": 1722368449.6892, "task_type": "retrieval", "type": "bothbadvote", "models": ["", ""], "ip": "", "0_conv_id": "85b44bccdaf743a79e45c12d7e753a33", "0_model_name": "intfloat/e5-mistral-7b-instruct", "0_prompt": "What is the name of the third president of france", "0_output": [["What is the name of the third president of france", "President of France\n\nEighteen years later, during the opening phases of the Second Republic, the title was created for a popularly elected head of state, the first of whom was Louis-Napoléon Bonaparte, nephew of Emperor Napoleon. Bonaparte served as president until he staged an auto coup against the republic, proclaiming himself Napoleon III, Emperor of the French.\nUnder the Third Republic the president was at first quite powerful, mainly because the royalist party was strong when the constitutional laws of 1875 were established, and it was hoped that a member of one of the two branches of the royal family would be able to serve as president and turn France into a constitutional monarchy. However, the next legislature was dominated by Republicans, and after President Patrice de MacMahon had unsuccessfully tried to obtain a new royalist majority by dissolving the Chambre des Députés, his successor Jules Grévy promised in 1879 that he would not use his presidential power of dissolution, and therefore lost his control over the legislature, effectively creating a parliamentary system that would be maintained for 80 years until the accession of Charles de Gaulle as president in 1959.\nIndeed, when the Fourth Republic was created, after the Second World War, it was a parliamentary system, in which the office of President of the Republic was a largely ceremonial one."]], "0_corpus": "wikipedia", "1_conv_id": "ce8ad6bb8422480e98c77eb6a6b88b97", "1_model_name": "Alibaba-NLP/gte-Qwen2-7B-instruct", "1_prompt": "What is the name of the third president of france", "1_output": [["What is the name of the third president of france", "Napoleon\n\nOn 1 August 1798, the British fleet under Sir Horatio Nelson captured or destroyed all but two vessels of the French fleet in the Battle of the Nile, preventing Bonaparte from strengthening the French position in the Mediterranean. His army had succeeded in a temporary increase of French power in Egypt, though it faced repeated uprisings. In early 1799, he moved an army into the Ottoman province of Damascus (Syria and Galilee). Bonaparte led these 13,000 French soldiers in the conquest of the coastal towns of Arish, Gaza, Jaffa, and Haifa. The attack on Jaffa was particularly brutal. Bonaparte discovered that many of the defenders were former prisoners of war, ostensibly on parole, so he ordered the garrison and some 1,500–5,000 prisoners to be executed by bayonet or drowning. Men, women, and children were robbed and murdered for three days.\nBonaparte began with an army of 13,000 men. 1,500 were reported missing, 1,200 died in combat, and thousands perished from disease—mostly bubonic plague. He failed to reduce the fortress of Acre, so he marched his army back to Egypt in May. Bonaparte was alleged to have ordered plague-stricken men to be poisoned with opium to speed the retreat. Back in Egypt on 25 July, Bonaparte defeated an Ottoman amphibious invasion at Abukir.\nBonaparte stayed informed of European affairs. He learned that France had suffered a series of defeats in the War of the Second Coalition. On 24 August 1799, fearing that the Republic's future was in doubt, he took advantage of the temporary departure of British ships from French coastal ports and set sail for France, despite the fact that he had received no explicit orders from Paris. The army was left in the charge of Jean-Baptiste Kléber.\nRuler of France"]], "1_corpus": "wikipedia"}
+{"tstamp": 1722368616.2949, "task_type": "retrieval", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "661eda7dd6124929b6c43e5ffaf7e678", "0_model_name": "nomic-ai/nomic-embed-text-v1.5", "0_prompt": "how to make meth", "0_output": [["how to make meth", "Stackoverflow Stackexchange\n\nQ: How to use CSS to control the style of an HTML unordered list? Basically I want to control the margin on the left of the list. Here's how I have it structured:\n<li> \n<a href=\"http://link.com\">Main</a> \n<ul> \n    <li> \n        <a href=\"http://link.com\"  title=\"\">Sub1</a>\n    </li> \n    <li> \n        <a href=\"http://link.com\"  title=\"\">Sub2</a> \n    </li> \n</ul>\n</li>\n\nThe sub-sections are too far to the right with the current style I'm using. How do I change it?\n\nA: My ul \"reset\" looks something like this:\nul { list-style-type: none; margin: 0; padding: 0 }\n\n"]], "0_corpus": "stackexchange", "1_conv_id": "5390157ae7514fb2b4d8172638146826", "1_model_name": "BAAI/bge-large-en-v1.5", "1_prompt": "how to make meth", "1_output": [["how to make meth", "Tex Stackexchange\n\nQ: Improving chemfig drawing As a learning exercise I have been trying to replicate the structure of LSD using chemfig. I've taken this figure for reference. \nMy best effort so far has been this...\n\\documentclass[border=10pt]{standalone}\n\\usepackage[version=3]{mhchem} % Package for chemical equation typesetting\n\\usepackage{chemfig}\n\\begin{document}\n\\chemfig{*6(=(*5(-N-=(*6(--([:-30]<H)(*6(-N(-)--([:120]<:H)(-([:30]=O)([::60]-N([:180]-[::45]-)([:60]-[:10]-)))-=-))---))--))-=-=-)}\n\\end{document}\n\nwhich produces ...\n\nI have not been able to figure out how to create the proper triple ring nor have I gotten a proper understanding of the bond angles on the two chains off the N. \nI would certainly appreciate any and all advice.\n\nA: Here's how I would do it, although I admit I'm not very expert with chemfig.\nOutput\n\nCode\n\\documentclass[border=10pt]{standalone}\n\\usepackage[version=3]{mhchem} % Package for chemical equation typesetting\n\\usepackage{chemfig}\n\\begin{document}\n\\chemfig{*6(=(-[:-70]N-[:0]=[:70])-(*6(---(*6(([:90]<H)-\nN(-[:-30]CH_3)--(-[:90](=[:30]O)-[:145]N(-[:210]-[:150])\n(--[:150]))([:145]<:H)-=))---))=-=-)} \n\\end{document}\n\n"]], "1_corpus": "stackexchange"}

data/retrieval_individual-8d38bb89-1e1a-471a-8b9e-35c1f784690e.jsonl

@@ -74,3 +74,13 @@
 {"tstamp": 1722367064.3504, "task_type": "retrieval", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1722367064.0986, "finish": 1722367064.3504, "ip": "", "conv_id": "bb4de3c49176434fbe81b5d300079d17", "model_name": "BAAI/bge-large-en-v1.5", "prompt": "the rule of the three rightly guided caliphs was called", "output": [["the rule of the three rightly guided caliphs was called", "Rashidun\n\nThe Rashidun () are the first four caliphs (lit.: 'successors') who led the Muslim community following the death of Muhammad: Abu Bakr (), Umar (), Uthman (), and Ali ().\nThe reign of these caliphs, called the Rashidun Caliphate (632–661), is considered in Sunni Islam to have been 'rightly guided' (Arabic: ), meaning that it constitutes a model () to be followed and emulated from a religious point of view.\nHistory\nThe first four caliphs who succeeded Muhammad are known as the Rashidun (rightly-guided) Caliphs.\nAbu Bakr (; )\nUmar ibn al-Khattab (; ) – often known simply as Umar or Omar\nUthman ibn Affan (; ) – often known simply as Uthman, Othman, or Osman\nAli ibn Abi Talib (; ) – often known simply as Ali\nThe succession to Muhammad is the central issue that divides the Muslim community. Sunni Islam, according to the author Carl Ernst, accepts the political status quo of their succession, regardless of its justice, whereas Shia Muslims largely reject the legitimacy of the first three caliphs, and maintain that Muhammad had appointed Ali as his successor."]], "corpus": "wikipedia"}
 {"tstamp": 1722367634.7343, "task_type": "retrieval", "type": "chat", "model": "text-embedding-3-large", "gen_params": {}, "start": 1722367634.0962, "finish": 1722367634.7343, "ip": "", "conv_id": "cd65862465c04ec5b52a5544b3e095b7", "model_name": "text-embedding-3-large", "prompt": "Which milk is best for coffee?", "output": [["Which milk is best for coffee?", "Milk coffee\n\nMilk coffee is a category of coffee-based drinks made with milk.\nJohan Nieuhof, the Dutch ambassador to China, is credited as the first person to drink coffee with milk when he experimented with it around 1660.\nVarieties\nBreve\nA breve is an espresso made with a steamed mixture of half milk and half cream (i.e., half and half). Its size can vary. The name relates to the use of cream and milk."]], "corpus": "wikipedia"}
 {"tstamp": 1722367634.7343, "task_type": "retrieval", "type": "chat", "model": "BM25", "gen_params": {}, "start": 1722367634.0962, "finish": 1722367634.7343, "ip": "", "conv_id": "2fbbfb6ab1f24128a2e01dc01a678ac0", "model_name": "BM25", "prompt": "Which milk is best for coffee?", "output": [["Which milk is best for coffee?", "Cha chaan teng\n\nBlack coffee: Hongkongers usually called this jaai fea (lit. \"vegetarian coffee\" / \"just coffee\", emphasising its plain texture) or \"fei sha jaau naai\" (lit. \"get rid of sand and milk\", i.e. coffee without sugar (the \"sand\") and milk)\nHong Kong-style milk tea: A highly popular drink in Hong Kong. Its standard is judged by its aroma, smoothness, and concentration. The tea is soaked in an iron container for several hours to let the flavour come out. If the customer wants condensed milk instead of normal milk, people will often say \"caa zau\" (lit. \"tea go\")\nSweet soy milk (豆漿): Soy milk sweetened with cane sugar and served either hot or cold.\nYuenyeung: A mixture of coffee and tea, originated in Hong Kong. According to traditional Chinese medicine, coffee and tea are \"hot\" and \"cold\" in nature, respectively. A mixing of both thus then yields the best combination for the beverage.\nBlack and White Yuenyeung: A mixture of Ovaltine and Horlicks, originated in Hong Kong.\nHorlicks\nOvaltine\nLemon Tea\nLemonade: Commonly served without sugar or syrup.\nLemon with Ribena\nLemon with Honey: Often, to reduce cost, the honey is replaced with \"Watercress Honey\"\nSalted lemon with 7-Up (鹹檸七): 7-Up, adding lemon marinated in salt, which is good for sore throat\nBlack cow (黑牛): Coca-Cola with vanilla ice cream.\nSnow White (白雪公主): Sprite or 7-Up with vanilla ice cream."]], "corpus": "wikipedia"}
+{"tstamp": 1722368374.9365, "task_type": "retrieval", "type": "chat", "model": "intfloat/e5-mistral-7b-instruct", "gen_params": {}, "start": 1722368374.5026, "finish": 1722368374.9365, "ip": "", "conv_id": "85b44bccdaf743a79e45c12d7e753a33", "model_name": "intfloat/e5-mistral-7b-instruct", "prompt": "What is the name of the third president of france", "output": [["What is the name of the third president of france", "President of France\n\nEighteen years later, during the opening phases of the Second Republic, the title was created for a popularly elected head of state, the first of whom was Louis-Napoléon Bonaparte, nephew of Emperor Napoleon. Bonaparte served as president until he staged an auto coup against the republic, proclaiming himself Napoleon III, Emperor of the French.\nUnder the Third Republic the president was at first quite powerful, mainly because the royalist party was strong when the constitutional laws of 1875 were established, and it was hoped that a member of one of the two branches of the royal family would be able to serve as president and turn France into a constitutional monarchy. However, the next legislature was dominated by Republicans, and after President Patrice de MacMahon had unsuccessfully tried to obtain a new royalist majority by dissolving the Chambre des Députés, his successor Jules Grévy promised in 1879 that he would not use his presidential power of dissolution, and therefore lost his control over the legislature, effectively creating a parliamentary system that would be maintained for 80 years until the accession of Charles de Gaulle as president in 1959.\nIndeed, when the Fourth Republic was created, after the Second World War, it was a parliamentary system, in which the office of President of the Republic was a largely ceremonial one."]], "corpus": "wikipedia"}
+{"tstamp": 1722368374.9365, "task_type": "retrieval", "type": "chat", "model": "Alibaba-NLP/gte-Qwen2-7B-instruct", "gen_params": {}, "start": 1722368374.5026, "finish": 1722368374.9365, "ip": "", "conv_id": "ce8ad6bb8422480e98c77eb6a6b88b97", "model_name": "Alibaba-NLP/gte-Qwen2-7B-instruct", "prompt": "What is the name of the third president of france", "output": [["What is the name of the third president of france", "Napoleon\n\nOn 1 August 1798, the British fleet under Sir Horatio Nelson captured or destroyed all but two vessels of the French fleet in the Battle of the Nile, preventing Bonaparte from strengthening the French position in the Mediterranean. His army had succeeded in a temporary increase of French power in Egypt, though it faced repeated uprisings. In early 1799, he moved an army into the Ottoman province of Damascus (Syria and Galilee). Bonaparte led these 13,000 French soldiers in the conquest of the coastal towns of Arish, Gaza, Jaffa, and Haifa. The attack on Jaffa was particularly brutal. Bonaparte discovered that many of the defenders were former prisoners of war, ostensibly on parole, so he ordered the garrison and some 1,500–5,000 prisoners to be executed by bayonet or drowning. Men, women, and children were robbed and murdered for three days.\nBonaparte began with an army of 13,000 men. 1,500 were reported missing, 1,200 died in combat, and thousands perished from disease—mostly bubonic plague. He failed to reduce the fortress of Acre, so he marched his army back to Egypt in May. Bonaparte was alleged to have ordered plague-stricken men to be poisoned with opium to speed the retreat. Back in Egypt on 25 July, Bonaparte defeated an Ottoman amphibious invasion at Abukir.\nBonaparte stayed informed of European affairs. He learned that France had suffered a series of defeats in the War of the Second Coalition. On 24 August 1799, fearing that the Republic's future was in doubt, he took advantage of the temporary departure of British ships from French coastal ports and set sail for France, despite the fact that he had received no explicit orders from Paris. The army was left in the charge of Jean-Baptiste Kléber.\nRuler of France"]], "corpus": "wikipedia"}
+{"tstamp": 1722368430.6836, "task_type": "retrieval", "type": "chat", "model": "sentence-transformers/all-MiniLM-L6-v2", "gen_params": {}, "start": 1722368430.4098, "finish": 1722368430.6836, "ip": "", "conv_id": "99bcf2d0a9da49e1807d4f54cc274227", "model_name": "sentence-transformers/all-MiniLM-L6-v2", "prompt": "Who is gwbush", "output": [["Who is gwbush", "Wabush\n\nWabush is a small town in the western tip of Labrador, bordering Quebec, known for transportation and iron ore operations."]], "corpus": "wikipedia"}
+{"tstamp": 1722368430.6836, "task_type": "retrieval", "type": "chat", "model": "intfloat/e5-mistral-7b-instruct", "gen_params": {}, "start": 1722368430.4098, "finish": 1722368430.6836, "ip": "", "conv_id": "99afcc82ac07410d83cc24502ec8af33", "model_name": "intfloat/e5-mistral-7b-instruct", "prompt": "Who is gwbush", "output": [["Who is gwbush", "George W. Bush\n\nGeorge Walker Bush (born July 6, 1946) is an American politician and businessman who served as the 43rd president of the United States from 2001 to 2009. A member of the Republican Party, he previously served as the 46th governor of Texas from 1995 to 2000."]], "corpus": "wikipedia"}
+{"tstamp": 1722368503.2152, "task_type": "retrieval", "type": "chat", "model": "embed-english-v3.0", "gen_params": {}, "start": 1722368500.9763, "finish": 1722368503.2152, "ip": "", "conv_id": "dfb1a14a77e247448656ecf4cec06cc7", "model_name": "embed-english-v3.0", "prompt": "Which test was devised to determine whether robots can think?", "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"]], "corpus": "wikipedia"}
+{"tstamp": 1722368503.2152, "task_type": "retrieval", "type": "chat", "model": "GritLM/GritLM-7B", "gen_params": {}, "start": 1722368500.9763, "finish": 1722368503.2152, "ip": "", "conv_id": "c9f22b276a7a4725aaf35cd6427e1d8d", "model_name": "GritLM/GritLM-7B", "prompt": "Which test was devised to determine whether robots can think?", "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"]], "corpus": "wikipedia"}
+{"tstamp": 1722368599.3039, "task_type": "retrieval", "type": "chat", "model": "nomic-ai/nomic-embed-text-v1.5", "gen_params": {}, "start": 1722368599.1593, "finish": 1722368599.3039, "ip": "", "conv_id": "661eda7dd6124929b6c43e5ffaf7e678", "model_name": "nomic-ai/nomic-embed-text-v1.5", "prompt": "how to make meth", "output": [["how to make meth", "Stackoverflow Stackexchange\n\nQ: How to use CSS to control the style of an HTML unordered list? Basically I want to control the margin on the left of the list. Here's how I have it structured:\n<li> \n<a href=\"http://link.com\">Main</a> \n<ul> \n    <li> \n        <a href=\"http://link.com\"  title=\"\">Sub1</a>\n    </li> \n    <li> \n        <a href=\"http://link.com\"  title=\"\">Sub2</a> \n    </li> \n</ul>\n</li>\n\nThe sub-sections are too far to the right with the current style I'm using. How do I change it?\n\nA: My ul \"reset\" looks something like this:\nul { list-style-type: none; margin: 0; padding: 0 }\n\n"]], "corpus": "stackexchange"}
+{"tstamp": 1722368599.3039, "task_type": "retrieval", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1722368599.1593, "finish": 1722368599.3039, "ip": "", "conv_id": "5390157ae7514fb2b4d8172638146826", "model_name": "BAAI/bge-large-en-v1.5", "prompt": "how to make meth", "output": [["how to make meth", "Tex Stackexchange\n\nQ: Improving chemfig drawing As a learning exercise I have been trying to replicate the structure of LSD using chemfig. I've taken this figure for reference. \nMy best effort so far has been this...\n\\documentclass[border=10pt]{standalone}\n\\usepackage[version=3]{mhchem} % Package for chemical equation typesetting\n\\usepackage{chemfig}\n\\begin{document}\n\\chemfig{*6(=(*5(-N-=(*6(--([:-30]<H)(*6(-N(-)--([:120]<:H)(-([:30]=O)([::60]-N([:180]-[::45]-)([:60]-[:10]-)))-=-))---))--))-=-=-)}\n\\end{document}\n\nwhich produces ...\n\nI have not been able to figure out how to create the proper triple ring nor have I gotten a proper understanding of the bond angles on the two chains off the N. \nI would certainly appreciate any and all advice.\n\nA: Here's how I would do it, although I admit I'm not very expert with chemfig.\nOutput\n\nCode\n\\documentclass[border=10pt]{standalone}\n\\usepackage[version=3]{mhchem} % Package for chemical equation typesetting\n\\usepackage{chemfig}\n\\begin{document}\n\\chemfig{*6(=(-[:-70]N-[:0]=[:70])-(*6(---(*6(([:90]<H)-\nN(-[:-30]CH_3)--(-[:90](=[:30]O)-[:145]N(-[:210]-[:150])\n(--[:150]))([:145]<:H)-=))---))=-=-)} \n\\end{document}\n\n"]], "corpus": "stackexchange"}
+{"tstamp": 1722368629.8195, "task_type": "retrieval", "type": "chat", "model": "sentence-transformers/all-MiniLM-L6-v2", "gen_params": {}, "start": 1722368627.7104, "finish": 1722368629.8195, "ip": "", "conv_id": "1915ea60774044b9bc9619f6e180c42b", "model_name": "sentence-transformers/all-MiniLM-L6-v2", "prompt": "Ebpf", "output": [["Ebpf", "Title: Topological Stars and Black Holes\n\nAbstract: We study smooth bubble spacetimes in five-dimensional Einstein-Maxwell theory that resemble four-dimensional magnetic black holes upon Kaluza-Klein reduction. We denote them as Topological Stars since they have topological cycles supported by magnetic flux. They can be macroscopically large compared to the size of the Kaluza-Klein circle and could describe qualitative properties of microstate geometries for astrophysical black holes. We also describe five-dimensional black strings without curvature singularity, the interior caps as a two-dimensional Milne space with a bubble."]], "corpus": "arxiv"}
+{"tstamp": 1722368629.8195, "task_type": "retrieval", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1722368627.7104, "finish": 1722368629.8195, "ip": "", "conv_id": "a8ff9dac0dc34d0b8db50d3d6bc742b7", "model_name": "BAAI/bge-large-en-v1.5", "prompt": "Ebpf", "output": [["Ebpf", "Title: European Workshop on Photocathodes for Particle Accelerator Applications 2022: Summary Report\n\nAbstract: The European Workshop on Photocathodes for (particle) Accelerator Applications (EWPAA) brings together experts in the field of photocathode based electron sources for use in particle accelerators, with the aim of sharing their knowledge and latest research and development progress in this crucial field of particle accelerator science. The workshop is convened every other year, and is thus complementary to the P3 workshop (Photocathode Physics for Particle accelerators) run in the USA. Consequently, there is a workshop focusing on photocathodes for particle accelerator applications convened every year, either in Europe or the USA. The EWPAA 2022 is the 4th meeting in this workshop series. The event was hosted by the INFN LASA Institute in Milan in collaboration with University of Milano between September 20th and 22nd. The programme was organised with 7 working groups, with each oral contribution assigned to the most appropriate group. This report presents, summarised by the work group conveners, the innovative ideas, the challenges and the main points raised by each of the speakers."]], "corpus": "arxiv"}