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arena-results / data /clustering_side_by_side-f0f24c65-6f65-4435-a1e5-20bb12a2b295.jsonl
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{"tstamp": 1722228581.4527, "task_type": "clustering", "type": "tievote", "models": ["### Model A: GritLM/GritLM-7B", "### Model B: BAAI/bge-large-en-v1.5"], "ip": "", "0_conv_id": "98eb1579858d4265ab4bf3f051c51797", "0_model_name": "GritLM/GritLM-7B", "0_prompt": ["Airsoft video in Japan (LVOA,MK18Mod1)", "Grumpy review of the late 2015 5k iMac", "My item has not been in stock for more than a week. What do?", "I figured while I was making my gun Commiefornia compatible, Id customize a little :D", "Pikachu", "Charmander", "Squirtle", "Chikorita", "Electabuzz", "Ponyta", "Poliwhirl", "Sunflora", "Mareep", "Slugma", "Staryu", "Grovyle", "Bellossom", "Voltorb", "Shanghai", "Beijing", "Shenzhen", "Hangzhou", "Seattle", "Boston", "New York", "San Francisco"], "0_ncluster": 2, "0_output": "", "0_ndim": "2D (press for 3D)", "0_dim_method": "PCA", "0_clustering_method": "KMeans", "1_conv_id": "24c2545ccdbb490cb29140185d8f0880", "1_model_name": "BAAI/bge-large-en-v1.5", "1_prompt": ["Airsoft video in Japan (LVOA,MK18Mod1)", "Grumpy review of the late 2015 5k iMac", "My item has not been in stock for more than a week. What do?", "I figured while I was making my gun Commiefornia compatible, Id customize a little :D", "Pikachu", "Charmander", "Squirtle", "Chikorita", "Electabuzz", "Ponyta", "Poliwhirl", "Sunflora", "Mareep", "Slugma", "Staryu", "Grovyle", "Bellossom", "Voltorb", "Shanghai", "Beijing", "Shenzhen", "Hangzhou", "Seattle", "Boston", "New York", "San Francisco"], "1_ncluster": 2, "1_output": "", "1_ndim": "2D (press for 3D)", "1_dim_method": "PCA", "1_clustering_method": "KMeans"}
{"tstamp": 1722228660.1137, "task_type": "clustering", "type": "leftvote", "models": ["### Model A: Salesforce/SFR-Embedding-2_R", "### Model B: embed-english-v3.0"], "ip": "", "0_conv_id": "28a1cb1675d14f6d89eb72d0a361efdb", "0_model_name": "Salesforce/SFR-Embedding-2_R", "0_prompt": ["Shanghai", "Beijing", "Shenzhen", "Hangzhou", "Seattle", "Boston", "New York", "San Francisco"], "0_ncluster": 2, "0_output": "", "0_ndim": "2D (press for 3D)", "0_dim_method": "PCA", "0_clustering_method": "KMeans", "1_conv_id": "7a63c532288c465abd7da7cb98ee7ba5", "1_model_name": "embed-english-v3.0", "1_prompt": ["Shanghai", "Beijing", "Shenzhen", "Hangzhou", "Seattle", "Boston", "New York", "San Francisco"], "1_ncluster": 2, "1_output": "", "1_ndim": "2D (press for 3D)", "1_dim_method": "PCA", "1_clustering_method": "KMeans"}
{"tstamp": 1722228705.2882, "task_type": "clustering", "type": "rightvote", "models": ["### Model A: intfloat/e5-mistral-7b-instruct", "### Model B: intfloat/multilingual-e5-large-instruct"], "ip": "", "0_conv_id": "b2f09ce4818c402eaefe87a2c69a004b", "0_model_name": "intfloat/e5-mistral-7b-instruct", "0_prompt": ["Shanghai", "Beijing", "Shenzhen", "Hangzhou", "Seattle", "Boston", "New York", "San Francisco"], "0_ncluster": 2, "0_output": "", "0_ndim": "2D (press for 3D)", "0_dim_method": "PCA", "0_clustering_method": "KMeans", "1_conv_id": "987bfd2913264d47a83287f17042c13f", "1_model_name": "intfloat/multilingual-e5-large-instruct", "1_prompt": ["Shanghai", "Beijing", "Shenzhen", "Hangzhou", "Seattle", "Boston", "New York", "San Francisco"], "1_ncluster": 2, "1_output": "", "1_ndim": "2D (press for 3D)", "1_dim_method": "PCA", "1_clustering_method": "KMeans"}
{"tstamp": 1722228727.7822, "task_type": "clustering", "type": "tievote", "models": ["### Model A: Salesforce/SFR-Embedding-2_R", "### Model B: intfloat/e5-mistral-7b-instruct"], "ip": "", "0_conv_id": "06049337a7c5475683e5a879a274dc71", "0_model_name": "Salesforce/SFR-Embedding-2_R", "0_prompt": ["Shanghai", "Beijing", "Shenzhen", "Hangzhou", "Seattle", "Boston", "New York", "San Francisco"], "0_ncluster": 2, "0_output": "", "0_ndim": "2D (press for 3D)", "0_dim_method": "PCA", "0_clustering_method": "KMeans", "1_conv_id": "ffd86641c34c432783c038b34bc180ea", "1_model_name": "intfloat/e5-mistral-7b-instruct", "1_prompt": ["Shanghai", "Beijing", "Shenzhen", "Hangzhou", "Seattle", "Boston", "New York", "San Francisco"], "1_ncluster": 2, "1_output": "", "1_ndim": "2D (press for 3D)", "1_dim_method": "PCA", "1_clustering_method": "KMeans"}