Scheduled Commit

data/clustering_battle-b6937cbe-13fb-42d2-9ff1-500c63e96fa8.jsonl

@@ -1,2 +1,6 @@
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 {"tstamp": 1735182601.6123, "task_type": "clustering", "type": "bothbadvote", "models": ["", ""], "ip": "", "0_conv_id": "be35e5fe860f4bd4b9ef2a752e685f86", "0_model_name": "embed-english-v3.0", "0_prompt": ["Shanghai", "Beijing", "Shenzhen", "Hangzhou", "Seattle", "Boston", "New York", "San Francisco"], "0_ncluster": 2, "0_output": "", "0_ndim": "3D (press for 2D)", "0_dim_method": "PCA", "0_clustering_method": "KMeans", "1_conv_id": "0083ed5d623142fca7ac82486a8949b6", "1_model_name": "BAAI/bge-large-en-v1.5", "1_prompt": ["Shanghai", "Beijing", "Shenzhen", "Hangzhou", "Seattle", "Boston", "New York", "San Francisco"], "1_ncluster": 2, "1_output": "", "1_ndim": "3D (press for 2D)", "1_dim_method": "PCA", "1_clustering_method": "KMeans"}
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+{"tstamp": 1735182818.4729, "task_type": "clustering", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "9da23cc8845a47c59728af23ca75e953", "0_model_name": "voyage-multilingual-2", "0_prompt": ["Shanghai", "Beijing", "Shenzhen", "Hangzhou", "Seattle", "Boston", "New York", "San Francisco"], "0_ncluster": 2, "0_output": "", "0_ndim": "3D (press for 2D)", "0_dim_method": "PCA", "0_clustering_method": "KMeans", "1_conv_id": "c4eb791e65204150baf8468b854f86a7", "1_model_name": "text-embedding-004", "1_prompt": ["Shanghai", "Beijing", "Shenzhen", "Hangzhou", "Seattle", "Boston", "New York", "San Francisco"], "1_ncluster": 2, "1_output": "", "1_ndim": "3D (press for 2D)", "1_dim_method": "PCA", "1_clustering_method": "KMeans"}
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data/clustering_individual-b6937cbe-13fb-42d2-9ff1-500c63e96fa8.jsonl

@@ -18,3 +18,9 @@
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+{"tstamp": 1735182803.4438, "task_type": "clustering", "type": "chat", "model": "text-embedding-004", "gen_params": {}, "start": 1735182799.6686, "finish": 1735182803.4438, "ip": "", "conv_id": "c4eb791e65204150baf8468b854f86a7", "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"}
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