Datasets:
mteb
/

Modalities:
Tabular
Text
Formats:
json
Libraries:
Datasets
Dask
arena-results / data /clustering_battle-e1551d3d-8f3e-4765-a7e4-00a978151696.jsonl
Muennighoff's picture
Scheduled Commit
ed8857f verified
raw
history blame
5.85 kB
{"tstamp": 1724925515.6668, "task_type": "clustering", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "6bba4dd845d4477f8b31eba092d7fa1b", "0_model_name": "sentence-transformers/all-MiniLM-L6-v2", "0_prompt": ["Mercedes-Benz", "BMW", "GMC", "Tesla", "Toyota", "Honda", "Volkswagen", "polystyrene", "polypropylene", "nylon", "flashlight", "camping stove", "sleeping bag", "compass", "water filter"], "0_ncluster": 3, "0_output": "", "0_ndim": "3D (press for 2D)", "0_dim_method": "PCA", "0_clustering_method": "KMeans", "1_conv_id": "e31407ac540e4497a2c0ec97a1b11db6", "1_model_name": "text-embedding-3-large", "1_prompt": ["Mercedes-Benz", "BMW", "GMC", "Tesla", "Toyota", "Honda", "Volkswagen", "polystyrene", "polypropylene", "nylon", "flashlight", "camping stove", "sleeping bag", "compass", "water filter"], "1_ncluster": 3, "1_output": "", "1_ndim": "3D (press for 2D)", "1_dim_method": "PCA", "1_clustering_method": "KMeans"}
{"tstamp": 1724962299.5343, "task_type": "clustering", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "cfde24324d694c9888ae40439369a127", "0_model_name": "nomic-ai/nomic-embed-text-v1.5", "0_prompt": ["bistro", "fine dining", "cafe", "buffet", "sushi bar", "fast casual", "steakhouse", "Xbox", "Atari", "PlayStation", "Nintendo"], "0_ncluster": 2, "0_output": "", "0_ndim": "2D (press for 3D)", "0_dim_method": "PCA", "0_clustering_method": "KMeans", "1_conv_id": "2f8f0a609f5c4c0fba50927cc48674f8", "1_model_name": "GritLM/GritLM-7B", "1_prompt": ["bistro", "fine dining", "cafe", "buffet", "sushi bar", "fast casual", "steakhouse", "Xbox", "Atari", "PlayStation", "Nintendo"], "1_ncluster": 2, "1_output": "", "1_ndim": "2D (press for 3D)", "1_dim_method": "PCA", "1_clustering_method": "KMeans"}
{"tstamp": 1724962364.6261, "task_type": "clustering", "type": "bothbadvote", "models": ["", ""], "ip": "", "0_conv_id": "997d8b717b8c4f189ba32a18dd573da6", "0_model_name": "text-embedding-3-large", "0_prompt": ["shield", "composite", "cinder cone", "lava dome", "pumpernickel", "rye", "baguette", "ciabatta", "brioche", "focaccia", "sourdough", "Indian", "Arctic", "Southern", "Pacific", "Atlantic"], "0_ncluster": 3, "0_output": "", "0_ndim": "2D (press for 3D)", "0_dim_method": "PCA", "0_clustering_method": "KMeans", "1_conv_id": "3a02eb17dcea40c6993ae22c9bf0d490", "1_model_name": "sentence-transformers/all-MiniLM-L6-v2", "1_prompt": ["shield", "composite", "cinder cone", "lava dome", "pumpernickel", "rye", "baguette", "ciabatta", "brioche", "focaccia", "sourdough", "Indian", "Arctic", "Southern", "Pacific", "Atlantic"], "1_ncluster": 3, "1_output": "", "1_ndim": "2D (press for 3D)", "1_dim_method": "PCA", "1_clustering_method": "KMeans"}
{"tstamp": 1724962430.1922, "task_type": "clustering", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "615ebe92f37449cba5624e7c760e787a", "0_model_name": "intfloat/multilingual-e5-large-instruct", "0_prompt": ["hydroelectric", "biomass", "solar", "wind", "tidal", "geothermal", "chemistry", "mathematics", "biology", "physics", "history", "literature", "geography", "tennis", "basketball", "swimming", "soccer", "cricket", "volleyball", "baseball", "AWS", "DigitalOcean", "Google Cloud", "Oracle Cloud", "IBM Cloud", "calcium", "hydrogen"], "0_ncluster": 5, "0_output": "", "0_ndim": "2D (press for 3D)", "0_dim_method": "PCA", "0_clustering_method": "KMeans", "1_conv_id": "78dfda2d68d24c3aa7388629b5e481fd", "1_model_name": "nomic-ai/nomic-embed-text-v1.5", "1_prompt": ["hydroelectric", "biomass", "solar", "wind", "tidal", "geothermal", "chemistry", "mathematics", "biology", "physics", "history", "literature", "geography", "tennis", "basketball", "swimming", "soccer", "cricket", "volleyball", "baseball", "AWS", "DigitalOcean", "Google Cloud", "Oracle Cloud", "IBM Cloud", "calcium", "hydrogen"], "1_ncluster": 5, "1_output": "", "1_ndim": "2D (press for 3D)", "1_dim_method": "PCA", "1_clustering_method": "KMeans"}
{"tstamp": 1724962478.4863, "task_type": "clustering", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "dff68a60b5a340a79c69af537f24c32b", "0_model_name": "GritLM/GritLM-7B", "0_prompt": ["buffet", "sushi bar", "cafe", "steakhouse", "clarinet", "saxophone", "Lighthouse of Alexandria", "Colossus of Rhodes", "Pyramids of Giza", "Temple of Artemis", "Mausoleum at Halicarnassus", "linen", "wool", "silk", "denim", "leather"], "0_ncluster": 4, "0_output": "", "0_ndim": "2D (press for 3D)", "0_dim_method": "PCA", "0_clustering_method": "KMeans", "1_conv_id": "cd941f1dec6941c6a28032b28d94b781", "1_model_name": "mixedbread-ai/mxbai-embed-large-v1", "1_prompt": ["buffet", "sushi bar", "cafe", "steakhouse", "clarinet", "saxophone", "Lighthouse of Alexandria", "Colossus of Rhodes", "Pyramids of Giza", "Temple of Artemis", "Mausoleum at Halicarnassus", "linen", "wool", "silk", "denim", "leather"], "1_ncluster": 4, "1_output": "", "1_ndim": "2D (press for 3D)", "1_dim_method": "PCA", "1_clustering_method": "KMeans"}
{"tstamp": 1725108091.5591, "task_type": "clustering", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "130de3bce97e4a38a18b013b6a91b36d", "0_model_name": "Salesforce/SFR-Embedding-2_R", "0_prompt": ["flats", "high heels", "sandals", "boots", "Renaissance", "Abstract Expressionism", "Surrealism", "Impressionism", "Baroque", "marker", "pen"], "0_ncluster": 3, "0_output": "", "0_ndim": "3D (press for 2D)", "0_dim_method": "PCA", "0_clustering_method": "KMeans", "1_conv_id": "ed8b0c7c6695400fa23d7f1137ba91af", "1_model_name": "intfloat/multilingual-e5-large-instruct", "1_prompt": ["flats", "high heels", "sandals", "boots", "Renaissance", "Abstract Expressionism", "Surrealism", "Impressionism", "Baroque", "marker", "pen"], "1_ncluster": 3, "1_output": "", "1_ndim": "3D (press for 2D)", "1_dim_method": "PCA", "1_clustering_method": "KMeans"}