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Muennighoff commited on
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data/clustering_individual-112c1ce1-fe57-41e6-8919-4f1859b89f91.jsonl CHANGED
@@ -12,3 +12,5 @@
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  {"tstamp": 1723791402.9895, "task_type": "clustering", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1723791402.5942, "finish": 1723791402.9895, "ip": "", "conv_id": "3f1a9b58bfff4fb38c727bdacaa7a7f9", "model_name": "BAAI/bge-large-en-v1.5", "prompt": ["PVC", "acrylic", "polypropylene", "polyethylene", "pruning shears", "wheelbarrow", "rake", "hoe", "trowel", "watering can", "Google Cloud", "IBM Cloud", "Azure", "DigitalOcean", "AWS", "penne", "ravioli", "anchoring bias", "hindsight bias", "confirmation bias", "dunning-kruger effect"], "ncluster": 5, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
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  {"tstamp": 1723791712.4243, "task_type": "clustering", "type": "chat", "model": "text-embedding-3-large", "gen_params": {}, "start": 1723791712.3778, "finish": 1723791712.4243, "ip": "", "conv_id": "94e9d945b9a846379b22fe5129e46ff6", "model_name": "text-embedding-3-large", "prompt": ["Which test was devised to determine whether robots can think?"], "ncluster": 1, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
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  {"tstamp": 1723791712.4243, "task_type": "clustering", "type": "chat", "model": "nomic-ai/nomic-embed-text-v1.5", "gen_params": {}, "start": 1723791712.3778, "finish": 1723791712.4243, "ip": "", "conv_id": "e94235b30d454e46aa7c8fa7dccc0969", "model_name": "nomic-ai/nomic-embed-text-v1.5", "prompt": ["Which test was devised to determine whether robots can think?"], "ncluster": 1, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
 
 
 
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  {"tstamp": 1723791402.9895, "task_type": "clustering", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1723791402.5942, "finish": 1723791402.9895, "ip": "", "conv_id": "3f1a9b58bfff4fb38c727bdacaa7a7f9", "model_name": "BAAI/bge-large-en-v1.5", "prompt": ["PVC", "acrylic", "polypropylene", "polyethylene", "pruning shears", "wheelbarrow", "rake", "hoe", "trowel", "watering can", "Google Cloud", "IBM Cloud", "Azure", "DigitalOcean", "AWS", "penne", "ravioli", "anchoring bias", "hindsight bias", "confirmation bias", "dunning-kruger effect"], "ncluster": 5, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
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  {"tstamp": 1723791712.4243, "task_type": "clustering", "type": "chat", "model": "text-embedding-3-large", "gen_params": {}, "start": 1723791712.3778, "finish": 1723791712.4243, "ip": "", "conv_id": "94e9d945b9a846379b22fe5129e46ff6", "model_name": "text-embedding-3-large", "prompt": ["Which test was devised to determine whether robots can think?"], "ncluster": 1, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
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  {"tstamp": 1723791712.4243, "task_type": "clustering", "type": "chat", "model": "nomic-ai/nomic-embed-text-v1.5", "gen_params": {}, "start": 1723791712.3778, "finish": 1723791712.4243, "ip": "", "conv_id": "e94235b30d454e46aa7c8fa7dccc0969", "model_name": "nomic-ai/nomic-embed-text-v1.5", "prompt": ["Which test was devised to determine whether robots can think?"], "ncluster": 1, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
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+ {"tstamp": 1723813892.1947, "task_type": "clustering", "type": "chat", "model": "GritLM/GritLM-7B", "gen_params": {}, "start": 1723813891.8415, "finish": 1723813892.1947, "ip": "", "conv_id": "9ea24c7d8d954660b1411999e1328c60", "model_name": "GritLM/GritLM-7B", "prompt": ["Shanghai", "Beijing", "Shenzhen", "Hangzhou", "Seattle", "Boston", "New York", "San Francisco"], "ncluster": 2, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
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+ {"tstamp": 1723813892.1947, "task_type": "clustering", "type": "chat", "model": "text-embedding-004", "gen_params": {}, "start": 1723813891.8415, "finish": 1723813892.1947, "ip": "", "conv_id": "48ed724bf4ce40e0aea8b6da154ffa65", "model_name": "text-embedding-004", "prompt": ["Shanghai", "Beijing", "Shenzhen", "Hangzhou", "Seattle", "Boston", "New York", "San Francisco"], "ncluster": 2, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}