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{"tstamp": 1722227741.7567, "task_type": "clustering", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "d123e52afd8d438fa8b5faf4b26d08cb", "0_model_name": "Salesforce/SFR-Embedding-2_R", "0_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", "Researchers have found that people who live beyond 105 years tend to have a unique genetic background that makes their bodies more efficient at repairing DNA, according to a new study.", "[D] A Demo from 1993 of 32-year-old Yann LeCun showing off the World's first Convolutional Network for Text Recognition", "Speech-to-speech translation for a real-world unwritten language", "Seeking the Best Embedding Model: Experiences with bge & GritLM?"], "0_ncluster": 3, "0_output": "", "0_ndim": "3D (press for 2D)", "0_dim_method": "PCA", "0_clustering_method": "KMeans", "1_conv_id": "21c611ea17824f28bfe9034d3d1a1c9e", "1_model_name": "intfloat/e5-mistral-7b-instruct", "1_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", "Researchers have found that people who live beyond 105 years tend to have a unique genetic background that makes their bodies more efficient at repairing DNA, according to a new study.", "[D] A Demo from 1993 of 32-year-old Yann LeCun showing off the World's first Convolutional Network for Text Recognition", "Speech-to-speech translation for a real-world unwritten language", "Seeking the Best Embedding Model: Experiences with bge & GritLM?"], "1_ncluster": 3, "1_output": "", "1_ndim": "3D (press for 2D)", "1_dim_method": "PCA", "1_clustering_method": "KMeans"}
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{"tstamp": 1722227812.5941, "task_type": "clustering", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "ea248b3d8e5647d086e0b9b56e750254", "0_model_name": "intfloat/e5-mistral-7b-instruct", "0_prompt": ["Shanghai", "Beijing", "Shenzhen", "Hangzhou", "Seattle", "Boston", "New York", "San Francisco", "Guangzhou"], "0_ncluster": 2, "0_output": "", "0_ndim": "3D (press for 2D)", "0_dim_method": "PCA", "0_clustering_method": "KMeans", "1_conv_id": "9ff50914343d465c9e50b69e0751fb62", "1_model_name": "jinaai/jina-embeddings-v2-base-en", "1_prompt": ["Shanghai", "Beijing", "Shenzhen", "Hangzhou", "Seattle", "Boston", "New York", "San Francisco", "Guangzhou"], "1_ncluster": 2, "1_output": "", "1_ndim": "3D (press for 2D)", "1_dim_method": "PCA", "1_clustering_method": "KMeans"}
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{"tstamp": 1722227877.3846, "task_type": "clustering", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "cee0a319f4d24250ae9dd47cb3f8e53d", "0_model_name": "text-embedding-3-large", "0_prompt": ["Shanghai", "Beijing", "Shenzhen", "Hangzhou", "Nara", "Yufuin", "Osaka", "Tokyo"], "0_ncluster": 2, "0_output": "", "0_ndim": "3D (press for 2D)", "0_dim_method": "PCA", "0_clustering_method": "KMeans", "1_conv_id": "6dd8b3850e3a4118b565ede33acf3d1a", "1_model_name": "Alibaba-NLP/gte-Qwen2-7B-instruct", "1_prompt": ["Shanghai", "Beijing", "Shenzhen", "Hangzhou", "Nara", "Yufuin", "Osaka", "Tokyo"], "1_ncluster": 2, "1_output": "", "1_ndim": "3D (press for 2D)", "1_dim_method": "PCA", "1_clustering_method": "KMeans"}
{"tstamp": 1722227897.4312, "task_type": "clustering", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "7545b064b0144acab0bddd5a3c0b2ab0", "0_model_name": "Salesforce/SFR-Embedding-2_R", "0_prompt": ["Shanghai", "Beijing", "Shenzhen", "Hangzhou", "Nara", "Kobe", "Osaka", "Tokyo"], "0_ncluster": 2, "0_output": "", "0_ndim": "3D (press for 2D)", "0_dim_method": "PCA", "0_clustering_method": "KMeans", "1_conv_id": "c9f21260d49f4944af49c8665bca8e03", "1_model_name": "BAAI/bge-large-en-v1.5", "1_prompt": ["Shanghai", "Beijing", "Shenzhen", "Hangzhou", "Nara", "Kobe", "Osaka", "Tokyo"], "1_ncluster": 2, "1_output": "", "1_ndim": "3D (press for 2D)", "1_dim_method": "PCA", "1_clustering_method": "KMeans"}
{"tstamp": 1722227917.1256, "task_type": "clustering", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "34a7e3b3a7e84c4b8ab1873a3daf5281", "0_model_name": "BAAI/bge-large-en-v1.5", "0_prompt": ["Shanghai", "Beijing", "Shenzhen", "Hangzhou", "Nara", "Kobe", "Osaka", "Tokyo"], "0_ncluster": 2, "0_output": "", "0_ndim": "3D (press for 2D)", "0_dim_method": "PCA", "0_clustering_method": "KMeans", "1_conv_id": "483ecac94530498d8f4545610ee2a3e9", "1_model_name": "voyage-multilingual-2", "1_prompt": ["Shanghai", "Beijing", "Shenzhen", "Hangzhou", "Nara", "Kobe", "Osaka", "Tokyo"], "1_ncluster": 2, "1_output": "", "1_ndim": "3D (press for 2D)", "1_dim_method": "PCA", "1_clustering_method": "KMeans"}
{"tstamp": 1722227929.0981, "task_type": "clustering", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "ab9133a5b5614b06aa8961bfd7e92aab", "0_model_name": "Salesforce/SFR-Embedding-2_R", "0_prompt": ["Shanghai", "Beijing", "Shenzhen", "Hangzhou", "Nara", "Kobe", "Osaka", "Tokyo"], "0_ncluster": 2, "0_output": "", "0_ndim": "3D (press for 2D)", "0_dim_method": "PCA", "0_clustering_method": "KMeans", "1_conv_id": "ac59731286f6456f9c55624d12d8d293", "1_model_name": "BAAI/bge-large-en-v1.5", "1_prompt": ["Shanghai", "Beijing", "Shenzhen", "Hangzhou", "Nara", "Kobe", "Osaka", "Tokyo"], "1_ncluster": 2, "1_output": "", "1_ndim": "3D (press for 2D)", "1_dim_method": "PCA", "1_clustering_method": "KMeans"}
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