Scheduled Commit

data/clustering_individual-35e094d9-c3d4-447e-b2f4-7dd3f5d1d585.jsonl

@@ -86,3 +86,5 @@
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 {"tstamp": 1723439638.2939, "task_type": "clustering", "type": "chat", "model": "GritLM/GritLM-7B", "gen_params": {}, "start": 1723439638.1655, "finish": 1723439638.2939, "ip": "", "conv_id": "4fa05b3c0a454a8b8302517d97aefa21", "model_name": "GritLM/GritLM-7B", "prompt": ["placemat", "orange coat", "billygoat", "airplane", "ice cream", "king", "queen", "man", "woman", "travis went down to the store today and touched the hearts of all whom he spoke with.", "jimmy went to the store today and robbed everyone he talked to", "john went to the store today and told jokes to everyone he spoke to"], "ncluster": 1, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
 {"tstamp": 1723439638.2939, "task_type": "clustering", "type": "chat", "model": "Alibaba-NLP/gte-Qwen2-7B-instruct", "gen_params": {}, "start": 1723439638.1655, "finish": 1723439638.2939, "ip": "", "conv_id": "b13c7320c33c4fb1b3ade08ace59dfb2", "model_name": "Alibaba-NLP/gte-Qwen2-7B-instruct", "prompt": ["placemat", "orange coat", "billygoat", "airplane", "ice cream", "king", "queen", "man", "woman", "travis went down to the store today and touched the hearts of all whom he spoke with.", "jimmy went to the store today and robbed everyone he talked to", "john went to the store today and told jokes to everyone he spoke to"], "ncluster": 1, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
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+{"tstamp": 1723461724.9365, "task_type": "clustering", "type": "chat", "model": "jinaai/jina-embeddings-v2-base-en", "gen_params": {}, "start": 1723461724.8673, "finish": 1723461724.9365, "ip": "", "conv_id": "a58225438b69439c98129ebd92835cbb", "model_name": "jinaai/jina-embeddings-v2-base-en", "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"}