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Browse files- data/clustering_battle-274939d5-8d43-4477-a257-81d9d88422a5.jsonl +1 -0
- data/clustering_individual-274939d5-8d43-4477-a257-81d9d88422a5.jsonl +2 -0
- data/retrieval_battle-274939d5-8d43-4477-a257-81d9d88422a5.jsonl +1 -0
- data/retrieval_individual-274939d5-8d43-4477-a257-81d9d88422a5.jsonl +4 -0
- data/sts_individual-274939d5-8d43-4477-a257-81d9d88422a5.jsonl +2 -0
data/clustering_battle-274939d5-8d43-4477-a257-81d9d88422a5.jsonl
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{"tstamp": 1750699359.1795, "task_type": "clustering", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "f2ea5b85badb4ad386178e2e53cf5558", "0_model_name": "mixedbread-ai/mxbai-embed-large-v1", "0_prompt": ["carnation", "tulip", "lily", "daisy", "rose", "sunflower", "availability bias", "anchoring bias", "dunning-kruger effect", "confirmation bias", "hindsight bias", "GMC", "Tesla", "Mercedes-Benz", "hospital", "shortage"], "0_ncluster": 4, "0_output": "", "0_ndim": "3D (press for 2D)", "0_dim_method": "PCA", "0_clustering_method": "KMeans", "1_conv_id": "01c65afead484d0390e0ba9832065432", "1_model_name": "GritLM/GritLM-7B", "1_prompt": ["carnation", "tulip", "lily", "daisy", "rose", "sunflower", "availability bias", "anchoring bias", "dunning-kruger effect", "confirmation bias", "hindsight bias", "GMC", "Tesla", "Mercedes-Benz", "hospital", "shortage"], "1_ncluster": 4, "1_output": "", "1_ndim": "3D (press for 2D)", "1_dim_method": "PCA", "1_clustering_method": "KMeans"}
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{"tstamp": 1750699359.1795, "task_type": "clustering", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "f2ea5b85badb4ad386178e2e53cf5558", "0_model_name": "mixedbread-ai/mxbai-embed-large-v1", "0_prompt": ["carnation", "tulip", "lily", "daisy", "rose", "sunflower", "availability bias", "anchoring bias", "dunning-kruger effect", "confirmation bias", "hindsight bias", "GMC", "Tesla", "Mercedes-Benz", "hospital", "shortage"], "0_ncluster": 4, "0_output": "", "0_ndim": "3D (press for 2D)", "0_dim_method": "PCA", "0_clustering_method": "KMeans", "1_conv_id": "01c65afead484d0390e0ba9832065432", "1_model_name": "GritLM/GritLM-7B", "1_prompt": ["carnation", "tulip", "lily", "daisy", "rose", "sunflower", "availability bias", "anchoring bias", "dunning-kruger effect", "confirmation bias", "hindsight bias", "GMC", "Tesla", "Mercedes-Benz", "hospital", "shortage"], "1_ncluster": 4, "1_output": "", "1_ndim": "3D (press for 2D)", "1_dim_method": "PCA", "1_clustering_method": "KMeans"}
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{"tstamp": 1750838029.4887, "task_type": "clustering", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "a29b868d216a4b3398208dee819c0d4e", "0_model_name": "intfloat/e5-mistral-7b-instruct", "0_prompt": ["peach", "apple", "orange", "grape", "mango", "pear", "Aquarius", "Capricorn", "Leo", "Taurus", "Libra", "pumpernickel", "ciabatta", "Renaissance", "Surrealism"], "0_ncluster": 4, "0_output": "", "0_ndim": "3D (press for 2D)", "0_dim_method": "PCA", "0_clustering_method": "KMeans", "1_conv_id": "159baddd3c684575993e452a52b51a15", "1_model_name": "text-embedding-3-large", "1_prompt": ["peach", "apple", "orange", "grape", "mango", "pear", "Aquarius", "Capricorn", "Leo", "Taurus", "Libra", "pumpernickel", "ciabatta", "Renaissance", "Surrealism"], "1_ncluster": 4, "1_output": "", "1_ndim": "3D (press for 2D)", "1_dim_method": "PCA", "1_clustering_method": "KMeans"}
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data/clustering_individual-274939d5-8d43-4477-a257-81d9d88422a5.jsonl
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{"tstamp": 1750782293.7552, "task_type": "clustering", "type": "chat", "model": "Salesforce/SFR-Embedding-2_R", "gen_params": {}, "start": 1750782293.1666, "finish": 1750782293.7552, "ip": "", "conv_id": "ad594f8a661e43628a84f93c56d0f21f", "model_name": "Salesforce/SFR-Embedding-2_R", "prompt": ["sandals", "boots", "high heels", "sneakers", "baking", "steaming", "grilling", "boiling", "roasting", "frying", "sautéing", "tidal", "hydroelectric", "geothermal", "wind", "Wendy's", "Taco Bell", "KFC", "McDonald's", "Pizza Hut"], "ncluster": 4, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
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{"tstamp": 1750785897.6673, "task_type": "clustering", "type": "chat", "model": "text-embedding-004", "gen_params": {}, "start": 1750785897.3385, "finish": 1750785897.6673, "ip": "", "conv_id": "cbe636037b344788a5639f1031e848f1", "model_name": "text-embedding-004", "prompt": ["Spanish", "English", "pencil", "quill", "pen", "hydrogen", "sodium", "nitrogen", "iron", "carbon", "oxygen"], "ncluster": 3, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
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{"tstamp": 1750785897.6673, "task_type": "clustering", "type": "chat", "model": "intfloat/multilingual-e5-large-instruct", "gen_params": {}, "start": 1750785897.3385, "finish": 1750785897.6673, "ip": "", "conv_id": "63d0204f65004f029320901f97e2d54b", "model_name": "intfloat/multilingual-e5-large-instruct", "prompt": ["Spanish", "English", "pencil", "quill", "pen", "hydrogen", "sodium", "nitrogen", "iron", "carbon", "oxygen"], "ncluster": 3, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
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{"tstamp": 1750782293.7552, "task_type": "clustering", "type": "chat", "model": "Salesforce/SFR-Embedding-2_R", "gen_params": {}, "start": 1750782293.1666, "finish": 1750782293.7552, "ip": "", "conv_id": "ad594f8a661e43628a84f93c56d0f21f", "model_name": "Salesforce/SFR-Embedding-2_R", "prompt": ["sandals", "boots", "high heels", "sneakers", "baking", "steaming", "grilling", "boiling", "roasting", "frying", "sautéing", "tidal", "hydroelectric", "geothermal", "wind", "Wendy's", "Taco Bell", "KFC", "McDonald's", "Pizza Hut"], "ncluster": 4, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
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{"tstamp": 1750785897.6673, "task_type": "clustering", "type": "chat", "model": "text-embedding-004", "gen_params": {}, "start": 1750785897.3385, "finish": 1750785897.6673, "ip": "", "conv_id": "cbe636037b344788a5639f1031e848f1", "model_name": "text-embedding-004", "prompt": ["Spanish", "English", "pencil", "quill", "pen", "hydrogen", "sodium", "nitrogen", "iron", "carbon", "oxygen"], "ncluster": 3, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
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{"tstamp": 1750785897.6673, "task_type": "clustering", "type": "chat", "model": "intfloat/multilingual-e5-large-instruct", "gen_params": {}, "start": 1750785897.3385, "finish": 1750785897.6673, "ip": "", "conv_id": "63d0204f65004f029320901f97e2d54b", "model_name": "intfloat/multilingual-e5-large-instruct", "prompt": ["Spanish", "English", "pencil", "quill", "pen", "hydrogen", "sodium", "nitrogen", "iron", "carbon", "oxygen"], "ncluster": 3, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
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{"tstamp": 1750837989.6402, "task_type": "clustering", "type": "chat", "model": "intfloat/e5-mistral-7b-instruct", "gen_params": {}, "start": 1750837988.3766, "finish": 1750837989.6402, "ip": "", "conv_id": "a29b868d216a4b3398208dee819c0d4e", "model_name": "intfloat/e5-mistral-7b-instruct", "prompt": ["peach", "apple", "orange", "grape", "mango", "pear", "Aquarius", "Capricorn", "Leo", "Taurus", "Libra", "pumpernickel", "ciabatta", "Renaissance", "Surrealism"], "ncluster": 4, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
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{"tstamp": 1750837989.6402, "task_type": "clustering", "type": "chat", "model": "text-embedding-3-large", "gen_params": {}, "start": 1750837988.3766, "finish": 1750837989.6402, "ip": "", "conv_id": "159baddd3c684575993e452a52b51a15", "model_name": "text-embedding-3-large", "prompt": ["peach", "apple", "orange", "grape", "mango", "pear", "Aquarius", "Capricorn", "Leo", "Taurus", "Libra", "pumpernickel", "ciabatta", "Renaissance", "Surrealism"], "ncluster": 4, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
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data/retrieval_battle-274939d5-8d43-4477-a257-81d9d88422a5.jsonl
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{"tstamp": 1750821301.6147, "task_type": "retrieval", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "37e8d6d387aa4efc98008c7ca2cfa53f", "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\nA similar tale can be found in the near contemporary Indian Buddhist Jataka tales, but here the intricacy of the automation does not match that of Master Yan.Prior to the introduction of Buddhism in the Common Era, Chinese philosophers did not seriously consider the distinction between appearance and reality. The Liezi rebuts Buddhist philosophies and likens human creative powers to that of the Creator. The Indian Lokapannatti, a collection of cycles and lores produced in the 11th or 12th century AD, tells the story of how an army of automated soldiers (bhuta vahana yanta or \"Spirit movement machines\") were crafted to protect the relics of Buddha in a secret stupa. The plans for making such humanoid automatons were stolen from the kingdom of Rome, a generic term for the Greco-Roman-Byzantine culture. According to the Lokapannatti, the Yavanas (\"Greek-speakers\") used the automatons to carry out trade and farming, but also captured and executed criminals. Roman automation makers who left the kingdom were pursued and killed by the automatons. According to the Lokapannatti, the emperor Asoka hears the story of the secret stupa and sets out to find it. "]], "0_corpus": "wikipedia", "1_conv_id": "ccd1dfb31ac04722abb3718156234730", "1_model_name": "BM25", "1_prompt": "Which test was devised to determine whether robots can think?", "1_output": [["Which test was devised to determine whether robots can think?", "Artificial intelligence\n\nIn the late teens and early 2020s, AGI companies began to deliver programs that created enormous interest. In 2015, AlphaGo, developed by DeepMind, beat the world champion Go player. The program was taught only the rules of the game and developed strategy by itself. GPT-3 is a large language model that was released in 2020 by OpenAI and is capable of generating high-quality human-like text. These programs, and others, inspired an aggressive AI boom, where large companies began investing billions in AI research. According to AI Impacts, about $50 billion annually was invested in \"AI\" around 2022 in the U.S. alone and about 20% of the new U.S. Computer Science PhD graduates have specialized in \"AI\".\nAbout 800,000 \"AI\"-related U.S. job openings existed in 2022.\nPhilosophy\nDefining artificial intelligence\nAlan Turing wrote in 1950 \"I propose to consider the question 'can machines think'?\" He advised changing the question from whether a machine \"thinks\", to \"whether or not it is possible for machinery to show intelligent behaviour\". He devised the Turing test, which measures the ability of a machine to simulate human conversation. Since we can only observe the behavior of the machine, it does not matter if it is \"actually\" thinking or literally has a \"mind\". Turing notes that we can not determine these things about other people but \"it is usual to have a polite convention that everyone thinks.\""]], "1_corpus": "wikipedia"}
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{"tstamp": 1750821301.6147, "task_type": "retrieval", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "37e8d6d387aa4efc98008c7ca2cfa53f", "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\nA similar tale can be found in the near contemporary Indian Buddhist Jataka tales, but here the intricacy of the automation does not match that of Master Yan.Prior to the introduction of Buddhism in the Common Era, Chinese philosophers did not seriously consider the distinction between appearance and reality. The Liezi rebuts Buddhist philosophies and likens human creative powers to that of the Creator. The Indian Lokapannatti, a collection of cycles and lores produced in the 11th or 12th century AD, tells the story of how an army of automated soldiers (bhuta vahana yanta or \"Spirit movement machines\") were crafted to protect the relics of Buddha in a secret stupa. The plans for making such humanoid automatons were stolen from the kingdom of Rome, a generic term for the Greco-Roman-Byzantine culture. According to the Lokapannatti, the Yavanas (\"Greek-speakers\") used the automatons to carry out trade and farming, but also captured and executed criminals. Roman automation makers who left the kingdom were pursued and killed by the automatons. According to the Lokapannatti, the emperor Asoka hears the story of the secret stupa and sets out to find it. "]], "0_corpus": "wikipedia", "1_conv_id": "ccd1dfb31ac04722abb3718156234730", "1_model_name": "BM25", "1_prompt": "Which test was devised to determine whether robots can think?", "1_output": [["Which test was devised to determine whether robots can think?", "Artificial intelligence\n\nIn the late teens and early 2020s, AGI companies began to deliver programs that created enormous interest. In 2015, AlphaGo, developed by DeepMind, beat the world champion Go player. The program was taught only the rules of the game and developed strategy by itself. GPT-3 is a large language model that was released in 2020 by OpenAI and is capable of generating high-quality human-like text. These programs, and others, inspired an aggressive AI boom, where large companies began investing billions in AI research. According to AI Impacts, about $50 billion annually was invested in \"AI\" around 2022 in the U.S. alone and about 20% of the new U.S. Computer Science PhD graduates have specialized in \"AI\".\nAbout 800,000 \"AI\"-related U.S. job openings existed in 2022.\nPhilosophy\nDefining artificial intelligence\nAlan Turing wrote in 1950 \"I propose to consider the question 'can machines think'?\" He advised changing the question from whether a machine \"thinks\", to \"whether or not it is possible for machinery to show intelligent behaviour\". He devised the Turing test, which measures the ability of a machine to simulate human conversation. Since we can only observe the behavior of the machine, it does not matter if it is \"actually\" thinking or literally has a \"mind\". Turing notes that we can not determine these things about other people but \"it is usual to have a polite convention that everyone thinks.\""]], "1_corpus": "wikipedia"}
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{"tstamp": 1750837912.2628, "task_type": "retrieval", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "cf6beb111449427da861e3888e6c462f", "0_model_name": "intfloat/multilingual-e5-large-instruct", "0_prompt": "how to connect xbox 360 controller to bluetooth?", "0_output": [["how to connect xbox 360 controller to bluetooth?", "Gaming Stackexchange\n\nQ: How to connect wireless Xbox 360 controller with USB? I got non-rechargeable AA batteries in my pack with wireless controller. Now the batteries have drained out. I want to know can I connect the wireless controller to Xbox 360 via USB cable?\n\nA: The Xbox 360 controller has got a power cable, but unfortunately it's a proprietary one. \n\nYou will need the cable from a Plug and Charge kit (pictured above) for 360 controllers in order to use the controller without batteries.\n"]], "0_corpus": "stackexchange", "1_conv_id": "9478dd2a6b644e30b9e68ef322dbf89b", "1_model_name": "sentence-transformers/all-MiniLM-L6-v2", "1_prompt": "how to connect xbox 360 controller to bluetooth?", "1_output": [["how to connect xbox 360 controller to bluetooth?", "Stackoverflow Stackexchange\n\nQ: On what level can SPDY be used? I'm curious how SPDY should be implemented when using an ASP.NET MVC application. As far as I know it is not the case by now, but should I wait for an updated MVC (5), new IIS-server, upgraded .net-framework, or something else?\n\nA: My understanding of this question is \"can I use spdy with my IIS based server and .net application\". \nAs I understand it, IIS would need to implement the protocol, and/or a third party would need to offer a module for IIS that implements this. So far, I have not found either of these, but will update my answer if I do. \n"]], "1_corpus": "stackexchange"}
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data/retrieval_individual-274939d5-8d43-4477-a257-81d9d88422a5.jsonl
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{"tstamp": 1750791375.666, "task_type": "retrieval", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1750791375.4292, "finish": 1750791375.666, "ip": "", "conv_id": "4d5ae819066c47f7ba6a4f05058e2433", "model_name": "BAAI/bge-large-en-v1.5", "prompt": "Sickle Cell diseas", "output": [["Sickle Cell diseas", "Title: Flow-induced segregation and dynamics of red blood cells in sickle cell disease\n\nAbstract: Blood flow in sickle cell disease (SCD) can substantially differ from normal blood flow due to significant alterations in the physical properties of the red blood cells (RBCs). Chronic complications, such as inflammation of the endothelial cells lining blood vessel walls, are associated with SCD, for reasons that are unclear. Here, detailed boundary integral simulations are performed to investigate an idealized model flow flow in SCD, a binary suspension of flexible biconcave discoidal fluid-filled capsules and stiff curved prolate capsules that represent healthy and sickle RBCs, respectively, subjected to pressure-driven flow in a planar slit. The key observation is that, unlike healthy RBCs that concentrate around the center of the channel and form an RBC-depleted layer (i.e. cell-free layer) next to the walls, sickle cells are largely drained from the bulk of the suspension and aggregate inside the cell-free layer, displaying strong margination. These cells are found to undergo a rigid-body-like rolling orbit near the walls. Furthermore, the additional shear stress on the walls induced by the presence of marginated cells is computed. Compared to the small fluctuations in wall shear stress for a suspension of healthy RBCs, large local peaks in wall shear stress are observed for the binary suspensions, due to the proximity of the marginated stiff cells to the walls. As endothelial cells are known to mechanotransduce physical forces such as aberrations in shear stress and convert them to physiological processes such as activation of inflammatory signals, these results may aid in understanding mechanisms for endothelial dysfunction associated with SCD."]], "corpus": "arxiv"}
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{"tstamp": 1750821221.9309, "task_type": "retrieval", "type": "chat", "model": "sentence-transformers/all-MiniLM-L6-v2", "gen_params": {}, "start": 1750821215.3147, "finish": 1750821221.9309, "ip": "", "conv_id": "37e8d6d387aa4efc98008c7ca2cfa53f", "model_name": "sentence-transformers/all-MiniLM-L6-v2", "prompt": "Which test was devised to determine whether robots can think?", "output": [["Which test was devised to determine whether robots can think?", "History of robots\n\nA similar tale can be found in the near contemporary Indian Buddhist Jataka tales, but here the intricacy of the automation does not match that of Master Yan.Prior to the introduction of Buddhism in the Common Era, Chinese philosophers did not seriously consider the distinction between appearance and reality. The Liezi rebuts Buddhist philosophies and likens human creative powers to that of the Creator. The Indian Lokapannatti, a collection of cycles and lores produced in the 11th or 12th century AD, tells the story of how an army of automated soldiers (bhuta vahana yanta or \"Spirit movement machines\") were crafted to protect the relics of Buddha in a secret stupa. The plans for making such humanoid automatons were stolen from the kingdom of Rome, a generic term for the Greco-Roman-Byzantine culture. According to the Lokapannatti, the Yavanas (\"Greek-speakers\") used the automatons to carry out trade and farming, but also captured and executed criminals. Roman automation makers who left the kingdom were pursued and killed by the automatons. According to the Lokapannatti, the emperor Asoka hears the story of the secret stupa and sets out to find it. "]], "corpus": "wikipedia"}
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{"tstamp": 1750821221.9309, "task_type": "retrieval", "type": "chat", "model": "BM25", "gen_params": {}, "start": 1750821215.3147, "finish": 1750821221.9309, "ip": "", "conv_id": "ccd1dfb31ac04722abb3718156234730", "model_name": "BM25", "prompt": "Which test was devised to determine whether robots can think?", "output": [["Which test was devised to determine whether robots can think?", "Artificial intelligence\n\nIn the late teens and early 2020s, AGI companies began to deliver programs that created enormous interest. In 2015, AlphaGo, developed by DeepMind, beat the world champion Go player. The program was taught only the rules of the game and developed strategy by itself. GPT-3 is a large language model that was released in 2020 by OpenAI and is capable of generating high-quality human-like text. These programs, and others, inspired an aggressive AI boom, where large companies began investing billions in AI research. According to AI Impacts, about $50 billion annually was invested in \"AI\" around 2022 in the U.S. alone and about 20% of the new U.S. Computer Science PhD graduates have specialized in \"AI\".\nAbout 800,000 \"AI\"-related U.S. job openings existed in 2022.\nPhilosophy\nDefining artificial intelligence\nAlan Turing wrote in 1950 \"I propose to consider the question 'can machines think'?\" He advised changing the question from whether a machine \"thinks\", to \"whether or not it is possible for machinery to show intelligent behaviour\". He devised the Turing test, which measures the ability of a machine to simulate human conversation. Since we can only observe the behavior of the machine, it does not matter if it is \"actually\" thinking or literally has a \"mind\". Turing notes that we can not determine these things about other people but \"it is usual to have a polite convention that everyone thinks.\""]], "corpus": "wikipedia"}
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{"tstamp": 1750791375.666, "task_type": "retrieval", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1750791375.4292, "finish": 1750791375.666, "ip": "", "conv_id": "4d5ae819066c47f7ba6a4f05058e2433", "model_name": "BAAI/bge-large-en-v1.5", "prompt": "Sickle Cell diseas", "output": [["Sickle Cell diseas", "Title: Flow-induced segregation and dynamics of red blood cells in sickle cell disease\n\nAbstract: Blood flow in sickle cell disease (SCD) can substantially differ from normal blood flow due to significant alterations in the physical properties of the red blood cells (RBCs). Chronic complications, such as inflammation of the endothelial cells lining blood vessel walls, are associated with SCD, for reasons that are unclear. Here, detailed boundary integral simulations are performed to investigate an idealized model flow flow in SCD, a binary suspension of flexible biconcave discoidal fluid-filled capsules and stiff curved prolate capsules that represent healthy and sickle RBCs, respectively, subjected to pressure-driven flow in a planar slit. The key observation is that, unlike healthy RBCs that concentrate around the center of the channel and form an RBC-depleted layer (i.e. cell-free layer) next to the walls, sickle cells are largely drained from the bulk of the suspension and aggregate inside the cell-free layer, displaying strong margination. These cells are found to undergo a rigid-body-like rolling orbit near the walls. Furthermore, the additional shear stress on the walls induced by the presence of marginated cells is computed. Compared to the small fluctuations in wall shear stress for a suspension of healthy RBCs, large local peaks in wall shear stress are observed for the binary suspensions, due to the proximity of the marginated stiff cells to the walls. As endothelial cells are known to mechanotransduce physical forces such as aberrations in shear stress and convert them to physiological processes such as activation of inflammatory signals, these results may aid in understanding mechanisms for endothelial dysfunction associated with SCD."]], "corpus": "arxiv"}
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{"tstamp": 1750821221.9309, "task_type": "retrieval", "type": "chat", "model": "sentence-transformers/all-MiniLM-L6-v2", "gen_params": {}, "start": 1750821215.3147, "finish": 1750821221.9309, "ip": "", "conv_id": "37e8d6d387aa4efc98008c7ca2cfa53f", "model_name": "sentence-transformers/all-MiniLM-L6-v2", "prompt": "Which test was devised to determine whether robots can think?", "output": [["Which test was devised to determine whether robots can think?", "History of robots\n\nA similar tale can be found in the near contemporary Indian Buddhist Jataka tales, but here the intricacy of the automation does not match that of Master Yan.Prior to the introduction of Buddhism in the Common Era, Chinese philosophers did not seriously consider the distinction between appearance and reality. The Liezi rebuts Buddhist philosophies and likens human creative powers to that of the Creator. The Indian Lokapannatti, a collection of cycles and lores produced in the 11th or 12th century AD, tells the story of how an army of automated soldiers (bhuta vahana yanta or \"Spirit movement machines\") were crafted to protect the relics of Buddha in a secret stupa. The plans for making such humanoid automatons were stolen from the kingdom of Rome, a generic term for the Greco-Roman-Byzantine culture. According to the Lokapannatti, the Yavanas (\"Greek-speakers\") used the automatons to carry out trade and farming, but also captured and executed criminals. Roman automation makers who left the kingdom were pursued and killed by the automatons. According to the Lokapannatti, the emperor Asoka hears the story of the secret stupa and sets out to find it. "]], "corpus": "wikipedia"}
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{"tstamp": 1750821221.9309, "task_type": "retrieval", "type": "chat", "model": "BM25", "gen_params": {}, "start": 1750821215.3147, "finish": 1750821221.9309, "ip": "", "conv_id": "ccd1dfb31ac04722abb3718156234730", "model_name": "BM25", "prompt": "Which test was devised to determine whether robots can think?", "output": [["Which test was devised to determine whether robots can think?", "Artificial intelligence\n\nIn the late teens and early 2020s, AGI companies began to deliver programs that created enormous interest. In 2015, AlphaGo, developed by DeepMind, beat the world champion Go player. The program was taught only the rules of the game and developed strategy by itself. GPT-3 is a large language model that was released in 2020 by OpenAI and is capable of generating high-quality human-like text. These programs, and others, inspired an aggressive AI boom, where large companies began investing billions in AI research. According to AI Impacts, about $50 billion annually was invested in \"AI\" around 2022 in the U.S. alone and about 20% of the new U.S. Computer Science PhD graduates have specialized in \"AI\".\nAbout 800,000 \"AI\"-related U.S. job openings existed in 2022.\nPhilosophy\nDefining artificial intelligence\nAlan Turing wrote in 1950 \"I propose to consider the question 'can machines think'?\" He advised changing the question from whether a machine \"thinks\", to \"whether or not it is possible for machinery to show intelligent behaviour\". He devised the Turing test, which measures the ability of a machine to simulate human conversation. Since we can only observe the behavior of the machine, it does not matter if it is \"actually\" thinking or literally has a \"mind\". Turing notes that we can not determine these things about other people but \"it is usual to have a polite convention that everyone thinks.\""]], "corpus": "wikipedia"}
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{"tstamp": 1750837831.9726, "task_type": "retrieval", "type": "chat", "model": "Salesforce/SFR-Embedding-2_R", "gen_params": {}, "start": 1750837831.1245, "finish": 1750837831.9726, "ip": "", "conv_id": "6b3be5c374af4c5e86760fac5ff69b9b", "model_name": "Salesforce/SFR-Embedding-2_R", "prompt": "What's the purpose of `if __name__ == '__main__'`?", "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 <if name==“main”:> 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"]], "corpus": "stackexchange"}
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{"tstamp": 1750837831.9726, "task_type": "retrieval", "type": "chat", "model": "intfloat/multilingual-e5-large-instruct", "gen_params": {}, "start": 1750837831.1245, "finish": 1750837831.9726, "ip": "", "conv_id": "d1a6de5fe27b416490c036da364a7c6b", "model_name": "intfloat/multilingual-e5-large-instruct", "prompt": "What's the purpose of `if __name__ == '__main__'`?", "output": [["What's the purpose of `if __name__ == '__main__'`?", "Stackoverflow Stackexchange\n\nQ: What's the point of a main function and/or __name__ == \"__main__\" check in Python? I occasionally notice something like the following in Python scripts:\nif __name__ == \"__main__\":\n # do stuff like call main()\n\nWhat's the point of this?\n\nA: This allows a python script to be imported or run standalone is a sane way.\nIf you run a python file directly, the __name__ variable will contain __main__. If you import the script that will not be the case. Normally, if you import the script you want to call functions or reference classes from the file.\nIf you did not have this check, any code that was not in a class or function would run when you import.\n"]], "corpus": "stackexchange"}
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{"tstamp": 1750837894.7974, "task_type": "retrieval", "type": "chat", "model": "intfloat/multilingual-e5-large-instruct", "gen_params": {}, "start": 1750837894.6118, "finish": 1750837894.7974, "ip": "", "conv_id": "cf6beb111449427da861e3888e6c462f", "model_name": "intfloat/multilingual-e5-large-instruct", "prompt": "how to connect xbox 360 controller to bluetooth?", "output": [["how to connect xbox 360 controller to bluetooth?", "Gaming Stackexchange\n\nQ: How to connect wireless Xbox 360 controller with USB? I got non-rechargeable AA batteries in my pack with wireless controller. Now the batteries have drained out. I want to know can I connect the wireless controller to Xbox 360 via USB cable?\n\nA: The Xbox 360 controller has got a power cable, but unfortunately it's a proprietary one. \n\nYou will need the cable from a Plug and Charge kit (pictured above) for 360 controllers in order to use the controller without batteries.\n"]], "corpus": "stackexchange"}
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{"tstamp": 1750837894.7974, "task_type": "retrieval", "type": "chat", "model": "sentence-transformers/all-MiniLM-L6-v2", "gen_params": {}, "start": 1750837894.6118, "finish": 1750837894.7974, "ip": "", "conv_id": "9478dd2a6b644e30b9e68ef322dbf89b", "model_name": "sentence-transformers/all-MiniLM-L6-v2", "prompt": "how to connect xbox 360 controller to bluetooth?", "output": [["how to connect xbox 360 controller to bluetooth?", "Stackoverflow Stackexchange\n\nQ: On what level can SPDY be used? I'm curious how SPDY should be implemented when using an ASP.NET MVC application. As far as I know it is not the case by now, but should I wait for an updated MVC (5), new IIS-server, upgraded .net-framework, or something else?\n\nA: My understanding of this question is \"can I use spdy with my IIS based server and .net application\". \nAs I understand it, IIS would need to implement the protocol, and/or a third party would need to offer a module for IIS that implements this. So far, I have not found either of these, but will update my answer if I do. \n"]], "corpus": "stackexchange"}
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data/sts_individual-274939d5-8d43-4477-a257-81d9d88422a5.jsonl
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{"tstamp": 1750838092.5878, "task_type": "sts", "type": "chat", "model": "intfloat/multilingual-e5-large-instruct", "gen_params": {}, "start": 1750838088.6065, "finish": 1750838092.5878, "ip": "", "conv_id": "447a44643739425aa5cb2dc67b508be5", "model_name": "intfloat/multilingual-e5-large-instruct", "txt0": "I still had a curfew, even though I had freedom, when I was home.", "txt1": "Even though I had freedom when I was, you know, home, whatever, but I still had a curfew.", "txt2": "I had freedom when I was home, and there was no curfew, yahoo!", "output": ""}
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{"tstamp": 1750838092.5878, "task_type": "sts", "type": "chat", "model": "text-embedding-3-large", "gen_params": {}, "start": 1750838088.6065, "finish": 1750838092.5878, "ip": "", "conv_id": "bc74ac3ac89741d3a38c1ae96741253a", "model_name": "text-embedding-3-large", "txt0": "I still had a curfew, even though I had freedom, when I was home.", "txt1": "Even though I had freedom when I was, you know, home, whatever, but I still had a curfew.", "txt2": "I had freedom when I was home, and there was no curfew, yahoo!", "output": ""}
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