Scheduled Commit

data/retrieval_battle-112c1ce1-fe57-41e6-8919-4f1859b89f91.jsonl

@@ -23,3 +23,6 @@
 {"tstamp": 1723857828.4685, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "2206a8dc418f46a8a7d69e93c0c48974", "0_model_name": "intfloat/multilingual-e5-large-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?", "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": "977facfb89fd45eb80d54bbd188f99d0", "1_model_name": "GritLM/GritLM-7B", "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": 1723883105.2367, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "01acfcb83f37454c88be307e88eb34b7", "0_model_name": "nomic-ai/nomic-embed-text-v1.5", "0_prompt": "I am looking for a paper to help me deal with data constraints as I scale up my language model.", "0_output": [["I am looking for a paper to help me deal with data constraints as I scale up my language model.", "Title: Scaling Data-Constrained Language Models\n\nAbstract: The current trend of scaling language models involves increasing both parameter count and training dataset size. Extrapolating this trend suggests that training dataset size may soon be limited by the amount of text data available on the internet. Motivated by this limit, we investigate scaling language models in data-constrained regimes. Specifically, we run a large set of experiments varying the extent of data repetition and compute budget, ranging up to 900 billion training tokens and 9 billion parameter models. We find that with constrained data for a fixed compute budget, training with up to 4 epochs of repeated data yields negligible changes to loss compared to having unique data. However, with more repetition, the value of adding compute eventually decays to zero. We propose and empirically validate a scaling law for compute optimality that accounts for the decreasing value of repeated tokens and excess parameters. Finally, we experiment with approaches mitigating data scarcity, including augmenting the training dataset with code data or removing commonly used filters. Models and datasets from our 400 training runs are freely available at https://github.com/huggingface/datablations."]], "0_corpus": "arxiv", "1_conv_id": "37fa0e0c6dd04f1a829e5a024beb4eab", "1_model_name": "voyage-multilingual-2", "1_prompt": "I am looking for a paper to help me deal with data constraints as I scale up my language model.", "1_output": [["I am looking for a paper to help me deal with data constraints as I scale up my language model.", "Title: Scaling Data-Constrained Language Models\n\nAbstract: The current trend of scaling language models involves increasing both parameter count and training dataset size. Extrapolating this trend suggests that training dataset size may soon be limited by the amount of text data available on the internet. Motivated by this limit, we investigate scaling language models in data-constrained regimes. Specifically, we run a large set of experiments varying the extent of data repetition and compute budget, ranging up to 900 billion training tokens and 9 billion parameter models. We find that with constrained data for a fixed compute budget, training with up to 4 epochs of repeated data yields negligible changes to loss compared to having unique data. However, with more repetition, the value of adding compute eventually decays to zero. We propose and empirically validate a scaling law for compute optimality that accounts for the decreasing value of repeated tokens and excess parameters. Finally, we experiment with approaches mitigating data scarcity, including augmenting the training dataset with code data or removing commonly used filters. Models and datasets from our 400 training runs are freely available at https://github.com/huggingface/datablations."]], "1_corpus": "arxiv"}
 {"tstamp": 1723915600.0064, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "0b5b80acc7ef4ab6b182ba7d4069bbc5", "0_model_name": "sentence-transformers/all-MiniLM-L6-v2", "0_prompt": "What is robot object system ? ", "0_output": [["What is robot object system ? ", "Robot\n\nFuture development and trends Various techniques have emerged to develop the science of robotics and robots. One method is evolutionary robotics, in which a number of differing robots are submitted to tests. Those which perform best are used as a model to create a subsequent \"generation\" of robots. Another method is developmental robotics, which tracks changes and development within a single robot in the areas of problem-solving and other functions. Another new type of robot is just recently introduced which acts both as a smartphone and robot and is named RoboHon.\nAs robots become more advanced, eventually there may be a standard computer operating system designed mainly for robots. Robot Operating System (ROS) is an open-source software set of programs being developed at Stanford University, the Massachusetts Institute of Technology, and the Technical University of Munich, Germany, among others. ROS provides ways to program a robot's navigation and limbs regardless of the specific hardware involved. It also provides high-level commands for items like image recognition and even opening doors. When ROS boots up on a robot's computer, it would obtain data on attributes such as the length and movement of robots' limbs. It would relay this data to higher-level algorithms. Microsoft is also developing a \"Windows for robots\" system with its Robotics Developer Studio, which has been available since 2007.\nJapan hopes to have full-scale commercialization of service robots by 2025. Much technological research in Japan is led by Japanese government agencies, particularly the Trade Ministry."]], "0_corpus": "wikipedia", "1_conv_id": "c2a0bc1e6ef94a1c9763d21ee6ff5092", "1_model_name": "BAAI/bge-large-en-v1.5", "1_prompt": "What is robot object system ? ", "1_output": [["What is robot object system ? ", "Robot Operating System\n\nRobot Operating System (ROS or ros) is an open-source robotics middleware suite. Although ROS is not an operating system (OS) but a set of software frameworks for robot software  development, it provides services designed for a heterogeneous computer cluster such as hardware abstraction, low-level device control, implementation of commonly used functionality, message-passing between processes, and package management. Running sets of ROS-based processes are represented in a graph architecture where processing takes place in nodes that may receive, post, and multiplex sensor data, control, state, planning, actuator, and other messages. Despite the importance of reactivity and low latency in robot control, ROS is not a real-time operating system (RTOS). However, it is possible to integrate ROS with real-time computing code. The lack of support for real-time systems has been addressed in the creation of ROS 2, a major revision of the ROS API which will take advantage of modern libraries and technologies for core ROS functions and add support for real-time code and embedded system hardware.\nSoftware in the ROS Ecosystem can be separated into three groups:\nlanguage-and platform-independent tools used for building and distributing ROS-based software;\nROS client library implementations such as , , and ;\npackages containing application-related code which uses one or more ROS client libraries.\nBoth the language-independent tools and the main client libraries (C++, Python, and Lisp) are released under the terms of the BSD license, and as such are open-source software and free for both commercial and research use. The majority of other packages are licensed under a variety of open-source licenses. These other packages implement commonly used functionality and applications such as hardware drivers, robot models, datatypes, planning, perception, simultaneous localization and mapping (SLAM), simulation tools, and other algorithms."]], "1_corpus": "wikipedia"}
+{"tstamp": 1723924504.7113, "task_type": "retrieval", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "e05cc86498d64757af0a57f142d3655f", "0_model_name": "mixedbread-ai/mxbai-embed-large-v1", "0_prompt": "Which test was devised to determine whether robots can think?", "0_output": [["Which test was devised to determine whether robots can think?", "Progress in artificial intelligence\n\nSub-human Optical character recognition for printed text (nearing par-human for Latin-script typewritten text)\nObject recognition\nVarious robotics tasks that may require advances in robot hardware as well as AI, including:\nStable bipedal locomotion: Bipedal robots can walk, but are less stable than human walkers (as of 2017)\nHumanoid soccer\nSpeech recognition: \"nearly equal to human performance\" (2017)\nExplainability. Current medical systems can diagnose certain medical conditions well, but cannot explain to users why they made the diagnosis.\nMany tests of fluid intelligence (2020)\nBongard visual cognition problems, such as the Bongard-LOGO benchmark (2020)\nVisual Commonsense Reasoning (VCR) benchmark (as of 2020)\nStock market prediction: Financial data collection and processing using Machine Learning algorithms\nAngry Birds video game, as of 2020\nVarious tasks that are difficult to solve without contextual knowledge, including:\nTranslation\nWord-sense disambiguation\nProposed tests of artificial intelligence\nIn his famous Turing test, Alan Turing picked language, the defining feature of human beings, for its basis. The Turing test is now considered too exploitable to be a meaningful benchmark.\nThe Feigenbaum test, proposed by the inventor of expert systems, tests a machine's knowledge and expertise about a specific subject. A paper by Jim Gray of Microsoft in 2003 suggested extending the Turing test to speech understanding, speaking and recognizing objects and behavior."]], "0_corpus": "wikipedia", "1_conv_id": "65112f2c8260480681e4a469b710c563", "1_model_name": "BAAI/bge-large-en-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": 1723924618.4111, "task_type": "retrieval", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "10ac4107f2f649c5914f893e36478bbd", "0_model_name": "Alibaba-NLP/gte-Qwen2-7B-instruct", "0_prompt": "When and where was einstein born", "0_output": [["When and where was einstein born", "Einstein family\n\nMarriage to Pauline Hermann married 18-year-old Pauline Koch in Cannstatt, Kingdom of Württemberg on 8 August 1876. After their wedding, the young couple lived in Ulm, where Hermann became joint partner in the feather bed shop of his cousins, Moses and Hermann Levi. In Ulm, their eldest son Albert was born on 14 March 1879. On the initiative of Hermann's brother Jakob, the family moved to Munich in the summer of 1880. There, the two brothers founded the electrical engineering company Einstein & Cie, with Hermann being the merchant and Jakob the technician. The second child of Hermann and Pauline, their daughter Maria (called Maja), was born in Munich on 18 November 1881.\nWork\nThe Einsteins' electrical firm manufactured dynamos and electrical meters based on direct current. They were instrumental in bringing electricity to Munich. In 1885, they won the contract that provided DC lights to illuminate the Oktoberfest for the first time.\nIn 1893 the Einstein brothers lost a bid on a contract for the electrification of Munich to Schukert; Hermann and Jakob's small company lacked the capital to convert their equipment over from the direct current (DC) standard to the more efficient alternating current (AC) standard being used by Schukert. Their fortunes took a downward turn from there. They were forced to sell their Munich factory and, in search of business, the two brothers moved their company to Pavia, Italy in 1894. Hermann, Pauline and Maja moved to Milan in the same year and one year later moved to Pavia. Albert stayed with relatives in Munich to continue his education there, though he spent time in Pavia as well."]], "0_corpus": "wikipedia", "1_conv_id": "ca9fb0f40d5240ccaa477775812eb6e2", "1_model_name": "voyage-multilingual-2", "1_prompt": "When and where was einstein born", "1_output": [["When and where was einstein born", "Albert Einstein\n\nBorn in the German Empire, Einstein moved to Switzerland in 1895, forsaking his German citizenship (as a subject of the Kingdom of Württemberg) the following year. In 1897, at the age of seventeen, he enrolled in the mathematics and physics teaching diploma program at the Swiss federal polytechnic school in Zürich, graduating in 1900. In 1901, he acquired Swiss citizenship, which he kept for the rest of his life. In 1903, he secured a permanent position at the Swiss Patent Office in Bern. In 1905, he submitted a successful PhD dissertation to the University of Zurich. In 1914, he moved to Berlin in order to join the Prussian Academy of Sciences and the Humboldt University of Berlin. In 1917, he became director of the Kaiser Wilhelm Institute for Physics; he also became a German citizen again, this time as a subject of the Kingdom of Prussia. In 1933, while he was visiting the United States, Adolf Hitler came to power in Germany. Horrified by the Nazi \"war of extermination\" against his fellow Jews, Einstein decided to remain in the US, and was granted American citizenship in 1940. On the eve of World War II, he endorsed a letter to President Franklin D. Roosevelt alerting him to the potential German nuclear weapons program and recommended that the US begin similar research. Einstein supported the Allies but generally viewed the idea of nuclear weapons with great dismay.\nEinstein's work is also known for its influence on the philosophy of science. In 1905, he published four groundbreaking papers, sometimes described as his annus mirabilis (miracle year). These papers outlined a theory of the photoelectric effect, explained brownian motion, introduced his special theory of relativity—a theory which addressed the inability of classical mechanics to account satisfactorily for the behavior of the electromagnetic field—and demonstrated that if the special theory is correct, mass and energy are equivalent to each other. In 1915, he proposed a general theory of relativity that extended his system of mechanics to incorporate gravitation. A cosmological paper that he published the following year laid out the implications of general relativity for the modeling of the structure and evolution of the universe as a whole."]], "1_corpus": "wikipedia"}
+{"tstamp": 1723924684.0239, "task_type": "retrieval", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "63d241e7284a4862b1f656526bfa1f96", "0_model_name": "intfloat/multilingual-e5-large-instruct", "0_prompt": "wer ist klaus voormann", "0_output": [["wer ist klaus voormann", "Benno Fürmann\n\nBenjamin \"Benno\" Fürmann (; born 17 January 1972) is a German film and television actor.  He is known for his lead role in the 2008 film The North Face, where he plays Toni Kurz based on the 1936 Eiger climbing disaster in Switzerland, the lead actor in Christian Petzold's Jerichow, Agnieszka Holland's In Darkness, and as the voice actor for Puss in Boots of the Shrek franchise in the German Dub.\nLife and work\nFürmann was born in Berlin-Kreuzberg. By the age of 15 he had lost both his parents. At 17, he had a serious accident while train surfing, and had to spend six weeks in the hospital as a result. Fürmann left school after his Mittlere Reife and after that worked as a waiter and a bouncer. In 1991 he went to New York City and studied acting at the Lee Strasberg Theatre Institute.\nFürmann has a daughter and lives in Berlin, in the neighborhood of Prenzlauer Berg.\nAwards\n1999 German Television Award Best Actor in a Leading Role for\n2000 Bavarian Film Awards, Best Actor\nFilmography\n1992: Die ungewisse Lage des Paradieses\n1993:  (TV Movie) (with Beate Abraham, Muriel Baumeister) - Little Joe\n1993:  - Schüler\n1993: Simply Love (with , Uwe Ochsenknecht) - Mamba\n1995: California Convertible\n1996: The First Time (TV Movie) (with Lavinia Wilson) - Ike\n1998:  (TV Movie) (with Götz George, Nicolette Krebitz) - Gustav 'Bubi' Scholz - jung\n1998: Kiss My Blood - John\n1998: Candy - Robert\n1998: The Polar Bear (with Til Schweiger, Karina Krawczyk) - Fabian\n1999: Annaluise & Anton - Carlos\n1999:  - Johnny\n1999: Ne günstige Gelegenheit - Gosbert Klee"]], "0_corpus": "wikipedia", "1_conv_id": "48cb245b11a7434ea25062c21e5b2f83", "1_model_name": "Salesforce/SFR-Embedding-2_R", "1_prompt": "wer ist klaus voormann", "1_output": [["wer ist klaus voormann", "Klaus Voormann\n\nKlaus Otto Wilhelm Voormann (born 29 April 1938) is a German artist, musician, and record producer.\nVoormann was the bassist for Manfred Mann from 1966 to 1969, and performed as a session musician on a host of recordings, including \"You're So Vain\" by Carly Simon, Lou Reed's Transformer album, and on many recordings of the former members of the Beatles. As a producer, Voormann worked with the band Trio on their worldwide hit \"Da Da Da\"."]], "1_corpus": "wikipedia"}

data/retrieval_individual-112c1ce1-fe57-41e6-8919-4f1859b89f91.jsonl

@@ -89,3 +89,9 @@
 {"tstamp": 1723915420.5693, "task_type": "retrieval", "type": "chat", "model": "intfloat/e5-mistral-7b-instruct", "gen_params": {}, "start": 1723915420.2341, "finish": 1723915420.5693, "ip": "", "conv_id": "9ada3d2715b9469397643e8bc71279bc", "model_name": "intfloat/e5-mistral-7b-instruct", "prompt": "What is ROS ? ", "output": [["What is ROS ? ", "Reactive oxygen species\n\nIn chemistry and biology, reactive oxygen species (ROS) are highly reactive chemicals formed from diatomic oxygen (), water, and hydrogen peroxide. Some prominent ROS are hydroperoxide (O2H), superoxide (O2-), hydroxyl radical (OH.), and singlet oxygen.  ROS are pervasive because they are readily produced from O2, which is abundant.  ROS are important in many ways, both beneficial and otherwise.  ROS function as signals, that turn on and off biological functions.  They are intermediates in the redox behavior of O2, which is central to fuel cells.  ROS are central to the photodegradation of organic pollutants in the atmosphere.  Most often however, ROS are discussed in a biological context, ranging from their effects on aging and their role in causing dangerous genetic mutations."]], "corpus": "wikipedia"}
 {"tstamp": 1723915546.863, "task_type": "retrieval", "type": "chat", "model": "sentence-transformers/all-MiniLM-L6-v2", "gen_params": {}, "start": 1723915546.7158, "finish": 1723915546.863, "ip": "", "conv_id": "0b5b80acc7ef4ab6b182ba7d4069bbc5", "model_name": "sentence-transformers/all-MiniLM-L6-v2", "prompt": "What is robot object system ? ", "output": [["What is robot object system ? ", "Robot\n\nFuture development and trends Various techniques have emerged to develop the science of robotics and robots. One method is evolutionary robotics, in which a number of differing robots are submitted to tests. Those which perform best are used as a model to create a subsequent \"generation\" of robots. Another method is developmental robotics, which tracks changes and development within a single robot in the areas of problem-solving and other functions. Another new type of robot is just recently introduced which acts both as a smartphone and robot and is named RoboHon.\nAs robots become more advanced, eventually there may be a standard computer operating system designed mainly for robots. Robot Operating System (ROS) is an open-source software set of programs being developed at Stanford University, the Massachusetts Institute of Technology, and the Technical University of Munich, Germany, among others. ROS provides ways to program a robot's navigation and limbs regardless of the specific hardware involved. It also provides high-level commands for items like image recognition and even opening doors. When ROS boots up on a robot's computer, it would obtain data on attributes such as the length and movement of robots' limbs. It would relay this data to higher-level algorithms. Microsoft is also developing a \"Windows for robots\" system with its Robotics Developer Studio, which has been available since 2007.\nJapan hopes to have full-scale commercialization of service robots by 2025. Much technological research in Japan is led by Japanese government agencies, particularly the Trade Ministry."]], "corpus": "wikipedia"}
 {"tstamp": 1723915546.863, "task_type": "retrieval", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1723915546.7158, "finish": 1723915546.863, "ip": "", "conv_id": "c2a0bc1e6ef94a1c9763d21ee6ff5092", "model_name": "BAAI/bge-large-en-v1.5", "prompt": "What is robot object system ? ", "output": [["What is robot object system ? ", "Robot Operating System\n\nRobot Operating System (ROS or ros) is an open-source robotics middleware suite. Although ROS is not an operating system (OS) but a set of software frameworks for robot software  development, it provides services designed for a heterogeneous computer cluster such as hardware abstraction, low-level device control, implementation of commonly used functionality, message-passing between processes, and package management. Running sets of ROS-based processes are represented in a graph architecture where processing takes place in nodes that may receive, post, and multiplex sensor data, control, state, planning, actuator, and other messages. Despite the importance of reactivity and low latency in robot control, ROS is not a real-time operating system (RTOS). However, it is possible to integrate ROS with real-time computing code. The lack of support for real-time systems has been addressed in the creation of ROS 2, a major revision of the ROS API which will take advantage of modern libraries and technologies for core ROS functions and add support for real-time code and embedded system hardware.\nSoftware in the ROS Ecosystem can be separated into three groups:\nlanguage-and platform-independent tools used for building and distributing ROS-based software;\nROS client library implementations such as , , and ;\npackages containing application-related code which uses one or more ROS client libraries.\nBoth the language-independent tools and the main client libraries (C++, Python, and Lisp) are released under the terms of the BSD license, and as such are open-source software and free for both commercial and research use. The majority of other packages are licensed under a variety of open-source licenses. These other packages implement commonly used functionality and applications such as hardware drivers, robot models, datatypes, planning, perception, simultaneous localization and mapping (SLAM), simulation tools, and other algorithms."]], "corpus": "wikipedia"}
+{"tstamp": 1723924466.1217, "task_type": "retrieval", "type": "chat", "model": "mixedbread-ai/mxbai-embed-large-v1", "gen_params": {}, "start": 1723924463.8973, "finish": 1723924466.1217, "ip": "", "conv_id": "e05cc86498d64757af0a57f142d3655f", "model_name": "mixedbread-ai/mxbai-embed-large-v1", "prompt": "Which test was devised to determine whether robots can think?", "output": [["Which test was devised to determine whether robots can think?", "Progress in artificial intelligence\n\nSub-human Optical character recognition for printed text (nearing par-human for Latin-script typewritten text)\nObject recognition\nVarious robotics tasks that may require advances in robot hardware as well as AI, including:\nStable bipedal locomotion: Bipedal robots can walk, but are less stable than human walkers (as of 2017)\nHumanoid soccer\nSpeech recognition: \"nearly equal to human performance\" (2017)\nExplainability. Current medical systems can diagnose certain medical conditions well, but cannot explain to users why they made the diagnosis.\nMany tests of fluid intelligence (2020)\nBongard visual cognition problems, such as the Bongard-LOGO benchmark (2020)\nVisual Commonsense Reasoning (VCR) benchmark (as of 2020)\nStock market prediction: Financial data collection and processing using Machine Learning algorithms\nAngry Birds video game, as of 2020\nVarious tasks that are difficult to solve without contextual knowledge, including:\nTranslation\nWord-sense disambiguation\nProposed tests of artificial intelligence\nIn his famous Turing test, Alan Turing picked language, the defining feature of human beings, for its basis. The Turing test is now considered too exploitable to be a meaningful benchmark.\nThe Feigenbaum test, proposed by the inventor of expert systems, tests a machine's knowledge and expertise about a specific subject. A paper by Jim Gray of Microsoft in 2003 suggested extending the Turing test to speech understanding, speaking and recognizing objects and behavior."]], "corpus": "wikipedia"}
+{"tstamp": 1723924466.1217, "task_type": "retrieval", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1723924463.8973, "finish": 1723924466.1217, "ip": "", "conv_id": "65112f2c8260480681e4a469b710c563", "model_name": "BAAI/bge-large-en-v1.5", "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 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)."]], "corpus": "wikipedia"}
+{"tstamp": 1723924554.1402, "task_type": "retrieval", "type": "chat", "model": "Alibaba-NLP/gte-Qwen2-7B-instruct", "gen_params": {}, "start": 1723924553.6988, "finish": 1723924554.1402, "ip": "", "conv_id": "10ac4107f2f649c5914f893e36478bbd", "model_name": "Alibaba-NLP/gte-Qwen2-7B-instruct", "prompt": "When and where was einstein born", "output": [["When and where was einstein born", "Einstein family\n\nMarriage to Pauline Hermann married 18-year-old Pauline Koch in Cannstatt, Kingdom of Württemberg on 8 August 1876. After their wedding, the young couple lived in Ulm, where Hermann became joint partner in the feather bed shop of his cousins, Moses and Hermann Levi. In Ulm, their eldest son Albert was born on 14 March 1879. On the initiative of Hermann's brother Jakob, the family moved to Munich in the summer of 1880. There, the two brothers founded the electrical engineering company Einstein & Cie, with Hermann being the merchant and Jakob the technician. The second child of Hermann and Pauline, their daughter Maria (called Maja), was born in Munich on 18 November 1881.\nWork\nThe Einsteins' electrical firm manufactured dynamos and electrical meters based on direct current. They were instrumental in bringing electricity to Munich. In 1885, they won the contract that provided DC lights to illuminate the Oktoberfest for the first time.\nIn 1893 the Einstein brothers lost a bid on a contract for the electrification of Munich to Schukert; Hermann and Jakob's small company lacked the capital to convert their equipment over from the direct current (DC) standard to the more efficient alternating current (AC) standard being used by Schukert. Their fortunes took a downward turn from there. They were forced to sell their Munich factory and, in search of business, the two brothers moved their company to Pavia, Italy in 1894. Hermann, Pauline and Maja moved to Milan in the same year and one year later moved to Pavia. Albert stayed with relatives in Munich to continue his education there, though he spent time in Pavia as well."]], "corpus": "wikipedia"}
+{"tstamp": 1723924554.1402, "task_type": "retrieval", "type": "chat", "model": "voyage-multilingual-2", "gen_params": {}, "start": 1723924553.6988, "finish": 1723924554.1402, "ip": "", "conv_id": "ca9fb0f40d5240ccaa477775812eb6e2", "model_name": "voyage-multilingual-2", "prompt": "When and where was einstein born", "output": [["When and where was einstein born", "Albert Einstein\n\nBorn in the German Empire, Einstein moved to Switzerland in 1895, forsaking his German citizenship (as a subject of the Kingdom of Württemberg) the following year. In 1897, at the age of seventeen, he enrolled in the mathematics and physics teaching diploma program at the Swiss federal polytechnic school in Zürich, graduating in 1900. In 1901, he acquired Swiss citizenship, which he kept for the rest of his life. In 1903, he secured a permanent position at the Swiss Patent Office in Bern. In 1905, he submitted a successful PhD dissertation to the University of Zurich. In 1914, he moved to Berlin in order to join the Prussian Academy of Sciences and the Humboldt University of Berlin. In 1917, he became director of the Kaiser Wilhelm Institute for Physics; he also became a German citizen again, this time as a subject of the Kingdom of Prussia. In 1933, while he was visiting the United States, Adolf Hitler came to power in Germany. Horrified by the Nazi \"war of extermination\" against his fellow Jews, Einstein decided to remain in the US, and was granted American citizenship in 1940. On the eve of World War II, he endorsed a letter to President Franklin D. Roosevelt alerting him to the potential German nuclear weapons program and recommended that the US begin similar research. Einstein supported the Allies but generally viewed the idea of nuclear weapons with great dismay.\nEinstein's work is also known for its influence on the philosophy of science. In 1905, he published four groundbreaking papers, sometimes described as his annus mirabilis (miracle year). These papers outlined a theory of the photoelectric effect, explained brownian motion, introduced his special theory of relativity—a theory which addressed the inability of classical mechanics to account satisfactorily for the behavior of the electromagnetic field—and demonstrated that if the special theory is correct, mass and energy are equivalent to each other. In 1915, he proposed a general theory of relativity that extended his system of mechanics to incorporate gravitation. A cosmological paper that he published the following year laid out the implications of general relativity for the modeling of the structure and evolution of the universe as a whole."]], "corpus": "wikipedia"}
+{"tstamp": 1723924659.7427, "task_type": "retrieval", "type": "chat", "model": "intfloat/multilingual-e5-large-instruct", "gen_params": {}, "start": 1723924659.4276, "finish": 1723924659.7427, "ip": "", "conv_id": "63d241e7284a4862b1f656526bfa1f96", "model_name": "intfloat/multilingual-e5-large-instruct", "prompt": "wer ist klaus voormann", "output": [["wer ist klaus voormann", "Benno Fürmann\n\nBenjamin \"Benno\" Fürmann (; born 17 January 1972) is a German film and television actor.  He is known for his lead role in the 2008 film The North Face, where he plays Toni Kurz based on the 1936 Eiger climbing disaster in Switzerland, the lead actor in Christian Petzold's Jerichow, Agnieszka Holland's In Darkness, and as the voice actor for Puss in Boots of the Shrek franchise in the German Dub.\nLife and work\nFürmann was born in Berlin-Kreuzberg. By the age of 15 he had lost both his parents. At 17, he had a serious accident while train surfing, and had to spend six weeks in the hospital as a result. Fürmann left school after his Mittlere Reife and after that worked as a waiter and a bouncer. In 1991 he went to New York City and studied acting at the Lee Strasberg Theatre Institute.\nFürmann has a daughter and lives in Berlin, in the neighborhood of Prenzlauer Berg.\nAwards\n1999 German Television Award Best Actor in a Leading Role for\n2000 Bavarian Film Awards, Best Actor\nFilmography\n1992: Die ungewisse Lage des Paradieses\n1993:  (TV Movie) (with Beate Abraham, Muriel Baumeister) - Little Joe\n1993:  - Schüler\n1993: Simply Love (with , Uwe Ochsenknecht) - Mamba\n1995: California Convertible\n1996: The First Time (TV Movie) (with Lavinia Wilson) - Ike\n1998:  (TV Movie) (with Götz George, Nicolette Krebitz) - Gustav 'Bubi' Scholz - jung\n1998: Kiss My Blood - John\n1998: Candy - Robert\n1998: The Polar Bear (with Til Schweiger, Karina Krawczyk) - Fabian\n1999: Annaluise & Anton - Carlos\n1999:  - Johnny\n1999: Ne günstige Gelegenheit - Gosbert Klee"]], "corpus": "wikipedia"}
+{"tstamp": 1723924659.7427, "task_type": "retrieval", "type": "chat", "model": "Salesforce/SFR-Embedding-2_R", "gen_params": {}, "start": 1723924659.4276, "finish": 1723924659.7427, "ip": "", "conv_id": "48cb245b11a7434ea25062c21e5b2f83", "model_name": "Salesforce/SFR-Embedding-2_R", "prompt": "wer ist klaus voormann", "output": [["wer ist klaus voormann", "Klaus Voormann\n\nKlaus Otto Wilhelm Voormann (born 29 April 1938) is a German artist, musician, and record producer.\nVoormann was the bassist for Manfred Mann from 1966 to 1969, and performed as a session musician on a host of recordings, including \"You're So Vain\" by Carly Simon, Lou Reed's Transformer album, and on many recordings of the former members of the Beatles. As a producer, Voormann worked with the band Trio on their worldwide hit \"Da Da Da\"."]], "corpus": "wikipedia"}