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data/clustering_individual-116890b2-b7ae-4b66-a1df-9e9343ff122e.jsonl
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{"tstamp": 1722303173.1092, "task_type": "clustering", "type": "chat", "model": "intfloat/multilingual-e5-large-instruct", "gen_params": {}, "start": 1722303162.0835, "finish": 1722303173.1092, "ip": "", "conv_id": "534aac58109b4cef87a05a222ae0171c", "model_name": "intfloat/multilingual-e5-large-instruct", "prompt": ["water filter", "sleeping bag", "backpack", "taekwondo", "muay thai", "jiu-jitsu", "judo", "kung fu", "willow", "maple", "cedar", "Orion", "Cygnus", "Scorpius", "South America", "Antarctica"], "ncluster": 5, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
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{"tstamp": 1722303173.1092, "task_type": "clustering", "type": "chat", "model": "voyage-multilingual-2", "gen_params": {}, "start": 1722303162.0835, "finish": 1722303173.1092, "ip": "", "conv_id": "7fabec6b0e294c778ff40086af1d6094", "model_name": "voyage-multilingual-2", "prompt": ["water filter", "sleeping bag", "backpack", "taekwondo", "muay thai", "jiu-jitsu", "judo", "kung fu", "willow", "maple", "cedar", "Orion", "Cygnus", "Scorpius", "South America", "Antarctica"], "ncluster": 5, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
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{"tstamp": 1722303247.7038, "task_type": "clustering", "type": "chat", "model": "GritLM/GritLM-7B", "gen_params": {}, "start": 1722303241.0206, "finish": 1722303247.7038, "ip": "", "conv_id": "2e07476311b340488f9e15b9da54aa0f", "model_name": "GritLM/GritLM-7B", "prompt": ["cinder cone", "caldera", "lava dome", "shield", "composite", "bistro", "sushi bar", "fine dining", "cafe", "steakhouse"], "ncluster": 2, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
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{"tstamp": 1722303247.7038, "task_type": "clustering", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1722303241.0206, "finish": 1722303247.7038, "ip": "", "conv_id": "c791c9cf6c0147f993f3280bbe0c0556", "model_name": "BAAI/bge-large-en-v1.5", "prompt": ["cinder cone", "caldera", "lava dome", "shield", "composite", "bistro", "sushi bar", "fine dining", "cafe", "steakhouse"], "ncluster": 2, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
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{"tstamp": 1722303269.2479, "task_type": "clustering", "type": "chat", "model": "GritLM/GritLM-7B", "gen_params": {}, "start": 1722303269.1351, "finish": 1722303269.2479, "ip": "", "conv_id": "cc26c4688c984d78a397034b5ee62203", "model_name": "GritLM/GritLM-7B", "prompt": ["It's official! 1 Bitcoin = $10,000 USD", "Everyone who's trading BTC right now", "Age reversal not only achievable but also possibly imminent: Retro Biosciences", "MicroRNA regrows 90% of lost hair, study finds", "Speech-to-speech translation for a real-world unwritten language", "Seeking the Best Embedding Model: Experiences with the MTEB Arena?"], "ncluster": 3, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
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{"tstamp": 1722303269.2479, "task_type": "clustering", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1722303269.1351, "finish": 1722303269.2479, "ip": "", "conv_id": "484d2dc780a8425c98b77c01d486f66c", "model_name": "BAAI/bge-large-en-v1.5", "prompt": ["It's official! 1 Bitcoin = $10,000 USD", "Everyone who's trading BTC right now", "Age reversal not only achievable but also possibly imminent: Retro Biosciences", "MicroRNA regrows 90% of lost hair, study finds", "Speech-to-speech translation for a real-world unwritten language", "Seeking the Best Embedding Model: Experiences with the MTEB Arena?"], "ncluster": 3, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
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{"tstamp": 1722303280.1608, "task_type": "clustering", "type": "chat", "model": "GritLM/GritLM-7B", "gen_params": {}, "start": 1722303280.068, "finish": 1722303280.1608, "ip": "", "conv_id": "d301d77762714ce0b9613626b5f1a8ab", "model_name": "GritLM/GritLM-7B", "prompt": ["MTEB: Massive text embedding benchmark", "BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval", "The Scandinavian Embedding Benchmarks: Comprehensive Assessment of Multilingual and Monolingual Text Embedding", "FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions", "Aya model: An instruction finetuned open-access multilingual language model", "Scaling Data-Constrained Language Models", "Bloom: A 176b-parameter open-access multilingual language model"], "ncluster": 2, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
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{"tstamp": 1722303280.1608, "task_type": "clustering", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1722303280.068, "finish": 1722303280.1608, "ip": "", "conv_id": "d2b312a28b92424692b3617f28264854", "model_name": "BAAI/bge-large-en-v1.5", "prompt": ["MTEB: Massive text embedding benchmark", "BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval", "The Scandinavian Embedding Benchmarks: Comprehensive Assessment of Multilingual and Monolingual Text Embedding", "FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions", "Aya model: An instruction finetuned open-access multilingual language model", "Scaling Data-Constrained Language Models", "Bloom: A 176b-parameter open-access multilingual language model"], "ncluster": 2, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
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{"tstamp": 1722303331.0019, "task_type": "clustering", "type": "chat", "model": "GritLM/GritLM-7B", "gen_params": {}, "start": 1722303330.9072, "finish": 1722303331.0019, "ip": "", "conv_id": "82fdb5a147bd424d96c722111ae5be19", "model_name": "GritLM/GritLM-7B", "prompt": ["Egyptian", "Roman", "Mayan", "IBM Cloud", "Azure", "AWS", "Google Cloud", "temperate", "mangrove", "boreal", "communism", "fascism", "liberalism", "conservatism", "socialism", "iron", "hydrogen", "carbon", "calcium", "nitrogen", "sodium", "oxygen"], "ncluster": 5, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
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{"tstamp": 1722303331.0019, "task_type": "clustering", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1722303330.9072, "finish": 1722303331.0019, "ip": "", "conv_id": "2aaf74b797df4b178d6c91560b3cf4ab", "model_name": "BAAI/bge-large-en-v1.5", "prompt": ["Egyptian", "Roman", "Mayan", "IBM Cloud", "Azure", "AWS", "Google Cloud", "temperate", "mangrove", "boreal", "communism", "fascism", "liberalism", "conservatism", "socialism", "iron", "hydrogen", "carbon", "calcium", "nitrogen", "sodium", "oxygen"], "ncluster": 5, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
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{"tstamp": 1722303366.6188, "task_type": "clustering", "type": "chat", "model": "GritLM/GritLM-7B", "gen_params": {}, "start": 1722303366.527, "finish": 1722303366.6188, "ip": "", "conv_id": "ff2c7f4fc7d34570b62eaf9f01c0412f", "model_name": "GritLM/GritLM-7B", "prompt": ["Chrome", "Edge", "Firefox", "canoe", "cruise ship", "Greek", "Norse", "Celtic", "Roman", "Chinese", "Egyptian", "Hindu", "winter", "fall", "spring", "tidal", "biomass", "solar"], "ncluster": 5, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
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{"tstamp": 1722303366.6188, "task_type": "clustering", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1722303366.527, "finish": 1722303366.6188, "ip": "", "conv_id": "dbef09925c76484dbbdd83da3d99131f", "model_name": "BAAI/bge-large-en-v1.5", "prompt": ["Chrome", "Edge", "Firefox", "canoe", "cruise ship", "Greek", "Norse", "Celtic", "Roman", "Chinese", "Egyptian", "Hindu", "winter", "fall", "spring", "tidal", "biomass", "solar"], "ncluster": 5, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
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{"tstamp": 1722303377.0703, "task_type": "clustering", "type": "chat", "model": "GritLM/GritLM-7B", "gen_params": {}, "start": 1722303376.9685, "finish": 1722303377.0703, "ip": "", "conv_id": "52c8694391094ea89500593e61b5e351", "model_name": "GritLM/GritLM-7B", "prompt": ["cod", "bass", "salmon", "tuna", "halibut", "confirmation bias", "availability bias", "anchoring bias", "hindsight bias", "dunning-kruger effect", "Hindu", "Norse", "Apple", "Samsung", "Huawei", "ballad", "epic", "free verse", "haiku"], "ncluster": 5, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
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{"tstamp": 1722303377.0703, "task_type": "clustering", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1722303376.9685, "finish": 1722303377.0703, "ip": "", "conv_id": "b955a0f10fe847d58eaf41724f10657f", "model_name": "BAAI/bge-large-en-v1.5", "prompt": ["cod", "bass", "salmon", "tuna", "halibut", "confirmation bias", "availability bias", "anchoring bias", "hindsight bias", "dunning-kruger effect", "Hindu", "Norse", "Apple", "Samsung", "Huawei", "ballad", "epic", "free verse", "haiku"], "ncluster": 5, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
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{"tstamp": 1722303397.4789, "task_type": "clustering", "type": "chat", "model": "GritLM/GritLM-7B", "gen_params": {}, "start": 1722303397.3826, "finish": 1722303397.4789, "ip": "", "conv_id": "64d39771c93748179481cbbcb2258a90", "model_name": "GritLM/GritLM-7B", "prompt": ["quill", "pencil", "crayon", "pen", "marker", "chalk", "fountain pen", "Ford", "Honda", "Mercedes-Benz", "Tesla", "Nissan", "BMW", "Kia", "GMC", "TikTok", "Twitter", "Facebook", "Snapchat", "LinkedIn", "drums", "guitar", "C", "D", "K"], "ncluster": 5, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
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{"tstamp": 1722303397.4789, "task_type": "clustering", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1722303397.3826, "finish": 1722303397.4789, "ip": "", "conv_id": "5da70e2bfd2c4832adfeeb8425006267", "model_name": "BAAI/bge-large-en-v1.5", "prompt": ["quill", "pencil", "crayon", "pen", "marker", "chalk", "fountain pen", "Ford", "Honda", "Mercedes-Benz", "Tesla", "Nissan", "BMW", "Kia", "GMC", "TikTok", "Twitter", "Facebook", "Snapchat", "LinkedIn", "drums", "guitar", "C", "D", "K"], "ncluster": 5, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
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{"tstamp": 1722303410.3643, "task_type": "clustering", "type": "chat", "model": "GritLM/GritLM-7B", "gen_params": {}, "start": 1722303410.2667, "finish": 1722303410.3643, "ip": "", "conv_id": "64961a42a35a48f792dcb8e546a3a46f", "model_name": "GritLM/GritLM-7B", "prompt": ["kidneys", "pancreas", "heart", "Chinese", "Indian", "Italian", "Japanese", "French", "Thai", "Mexican", "ballet", "ballroom", "tap", "jazz", "contemporary", "nylon", "polyethylene", "polystyrene", "polypropylene", "acrylic", "fold", "block", "volcanic", "plateau"], "ncluster": 5, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
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{"tstamp": 1722303410.3643, "task_type": "clustering", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1722303410.2667, "finish": 1722303410.3643, "ip": "", "conv_id": "5f31b0c1cff248089b6d588670ac2f4a", "model_name": "BAAI/bge-large-en-v1.5", "prompt": ["kidneys", "pancreas", "heart", "Chinese", "Indian", "Italian", "Japanese", "French", "Thai", "Mexican", "ballet", "ballroom", "tap", "jazz", "contemporary", "nylon", "polyethylene", "polystyrene", "polypropylene", "acrylic", "fold", "block", "volcanic", "plateau"], "ncluster": 5, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
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data/clustering_side_by_side-116890b2-b7ae-4b66-a1df-9e9343ff122e.jsonl
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{"tstamp": 1722303262.5381, "task_type": "clustering", "type": "leftvote", "models": ["GritLM/GritLM-7B", "BAAI/bge-large-en-v1.5"], "ip": "", "0_conv_id": "2e07476311b340488f9e15b9da54aa0f", "0_model_name": "GritLM/GritLM-7B", "0_prompt": ["cinder cone", "caldera", "lava dome", "shield", "composite", "bistro", "sushi bar", "fine dining", "cafe", "steakhouse"], "0_ncluster": 2, "0_output": "", "0_ndim": "3D (press for 2D)", "0_dim_method": "PCA", "0_clustering_method": "KMeans", "1_conv_id": "c791c9cf6c0147f993f3280bbe0c0556", "1_model_name": "BAAI/bge-large-en-v1.5", "1_prompt": ["cinder cone", "caldera", "lava dome", "shield", "composite", "bistro", "sushi bar", "fine dining", "cafe", "steakhouse"], "1_ncluster": 2, "1_output": "", "1_ndim": "3D (press for 2D)", "1_dim_method": "PCA", "1_clustering_method": "KMeans"}
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