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data/clustering_battle-bf21cabf-e911-4688-b82f-7a6511b7478a.jsonl CHANGED
@@ -1,2 +1,3 @@
1
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  {"tstamp": 1736325253.1723, "task_type": "clustering", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "8c199774b8ba47a9bc3bb6abbae084eb", "0_model_name": "embed-english-v3.0", "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", "Speech-to-speech translation for a real-world unwritten language", "Seeking the Best Embedding Model: Experiences with the MTEB Arena?", "tent", "compass", "flashlight", "water filter", "mixed", "poultry", "dairy", "lily", "tulip", "daisy"], "0_ncluster": 3, "0_output": "", "0_ndim": "3D (press for 2D)", "0_dim_method": "PCA", "0_clustering_method": "KMeans", "1_conv_id": "bfaa6cbef4cc42d1bad1315d3ef0d21a", "1_model_name": "Salesforce/SFR-Embedding-2_R", "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", "Speech-to-speech translation for a real-world unwritten language", "Seeking the Best Embedding Model: Experiences with the MTEB Arena?", "tent", "compass", "flashlight", "water filter", "mixed", "poultry", "dairy", "lily", "tulip", "daisy"], "1_ncluster": 3, "1_output": "", "1_ndim": "3D (press for 2D)", "1_dim_method": "PCA", "1_clustering_method": "KMeans"}
 
 
1
  {"tstamp": 1736199218.9458, "task_type": "clustering", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "6b6e8cd96961491398b2c7a502b10de6", "0_model_name": "Alibaba-NLP/gte-Qwen2-7B-instruct", "0_prompt": ["IAHCS CIBO SOUTH BRIDG\nIAHCS CIBO SOUTH BRIDG\nSGS CANADA INC- MOTO\nSGS CANADA INC- MOTO\nLS SOUTHERN BELLE BOU\nIAH CS SOUTHERN BELLE\nIAH CS SOUTHERN BELLE\nIAH CS SOUTHERN BELLE\nTRAIL BAY HOME HARDWAR\nBEAVERLODGE HOME BUILD\nROYAL OAK #9\nROYAL OAK 13\nVERMEER HEARTLAND WASH\nBLUESTEM -D GRUENBACHE\nOXFORD WASH - LOCUST\nOXFORD WASH - LOCUST\nBROWNS\nBROWNS\nTHE PUBLIC SAFETY STOR\nTHE PUBLIC SAFETY STOR\nTHE PUBLIC SAFETY STOR\nGPS TULARE COUNTY AGRI\nGPS TULARE COUNTY ENVI\nSB Muzeum 05", "IAHCS CIBO SOUTH BRIDG", "IAHCS CIBO SOUTH BRIDG", "SGS CANADA INC- MOTO", "SGS CANADA INC- MOTO", "LS SOUTHERN BELLE BOU", "IAH CS SOUTHERN BELLE", "IAH CS SOUTHERN BELLE", "IAH CS SOUTHERN BELLE", "TRAIL BAY HOME HARDWAR", "BEAVERLODGE HOME BUILD", "ROYAL OAK #9", "ROYAL OAK 13", "VERMEER HEARTLAND WASH", "BLUESTEM -D GRUENBACHE", "OXFORD WASH - LOCUST", "OXFORD WASH - LOCUST", "BROWNS", "BROWNS", "THE PUBLIC SAFETY STOR", "THE PUBLIC SAFETY STOR", "THE PUBLIC SAFETY STOR", "GPS TULARE COUNTY AGRI", "GPS TULARE COUNTY ENVI", "SB Muzeum 05", ""], "0_ncluster": 13, "0_output": "", "0_ndim": "3D (press for 2D)", "0_dim_method": "PCA", "0_clustering_method": "KMeans", "1_conv_id": "40d7c06ad41c4ae0b72f197835697ebb", "1_model_name": "Salesforce/SFR-Embedding-2_R", "1_prompt": ["IAHCS CIBO SOUTH BRIDG\nIAHCS CIBO SOUTH BRIDG\nSGS CANADA INC- MOTO\nSGS CANADA INC- MOTO\nLS SOUTHERN BELLE BOU\nIAH CS SOUTHERN BELLE\nIAH CS SOUTHERN BELLE\nIAH CS SOUTHERN BELLE\nTRAIL BAY HOME HARDWAR\nBEAVERLODGE HOME BUILD\nROYAL OAK #9\nROYAL OAK 13\nVERMEER HEARTLAND WASH\nBLUESTEM -D GRUENBACHE\nOXFORD WASH - LOCUST\nOXFORD WASH - LOCUST\nBROWNS\nBROWNS\nTHE PUBLIC SAFETY STOR\nTHE PUBLIC SAFETY STOR\nTHE PUBLIC SAFETY STOR\nGPS TULARE COUNTY AGRI\nGPS TULARE COUNTY ENVI\nSB Muzeum 05", "IAHCS CIBO SOUTH BRIDG", "IAHCS CIBO SOUTH BRIDG", "SGS CANADA INC- MOTO", "SGS CANADA INC- MOTO", "LS SOUTHERN BELLE BOU", "IAH CS SOUTHERN BELLE", "IAH CS SOUTHERN BELLE", "IAH CS SOUTHERN BELLE", "TRAIL BAY HOME HARDWAR", "BEAVERLODGE HOME BUILD", "ROYAL OAK #9", "ROYAL OAK 13", "VERMEER HEARTLAND WASH", "BLUESTEM -D GRUENBACHE", "OXFORD WASH - LOCUST", "OXFORD WASH - LOCUST", "BROWNS", "BROWNS", "THE PUBLIC SAFETY STOR", "THE PUBLIC SAFETY STOR", "THE PUBLIC SAFETY STOR", "GPS TULARE COUNTY AGRI", "GPS TULARE COUNTY ENVI", "SB Muzeum 05", ""], "1_ncluster": 13, "1_output": "", "1_ndim": "3D (press for 2D)", "1_dim_method": "PCA", "1_clustering_method": "KMeans"}
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  {"tstamp": 1736325253.1723, "task_type": "clustering", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "8c199774b8ba47a9bc3bb6abbae084eb", "0_model_name": "embed-english-v3.0", "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", "Speech-to-speech translation for a real-world unwritten language", "Seeking the Best Embedding Model: Experiences with the MTEB Arena?", "tent", "compass", "flashlight", "water filter", "mixed", "poultry", "dairy", "lily", "tulip", "daisy"], "0_ncluster": 3, "0_output": "", "0_ndim": "3D (press for 2D)", "0_dim_method": "PCA", "0_clustering_method": "KMeans", "1_conv_id": "bfaa6cbef4cc42d1bad1315d3ef0d21a", "1_model_name": "Salesforce/SFR-Embedding-2_R", "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", "Speech-to-speech translation for a real-world unwritten language", "Seeking the Best Embedding Model: Experiences with the MTEB Arena?", "tent", "compass", "flashlight", "water filter", "mixed", "poultry", "dairy", "lily", "tulip", "daisy"], "1_ncluster": 3, "1_output": "", "1_ndim": "3D (press for 2D)", "1_dim_method": "PCA", "1_clustering_method": "KMeans"}
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data/clustering_individual-bf21cabf-e911-4688-b82f-7a6511b7478a.jsonl CHANGED
@@ -21,3 +21,7 @@
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  {"tstamp": 1736324923.9231, "task_type": "clustering", "type": "chat", "model": "Salesforce/SFR-Embedding-2_R", "gen_params": {}, "start": 1736324923.6943, "finish": 1736324923.9231, "ip": "", "conv_id": "bfaa6cbef4cc42d1bad1315d3ef0d21a", "model_name": "Salesforce/SFR-Embedding-2_R", "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", "Speech-to-speech translation for a real-world unwritten language", "Seeking the Best Embedding Model: Experiences with the MTEB Arena?"], "ncluster": 3, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
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  {"tstamp": 1736325156.8406, "task_type": "clustering", "type": "chat", "model": "Salesforce/SFR-Embedding-2_R", "gen_params": {}, "start": 1736325156.5878, "finish": 1736325156.8406, "ip": "", "conv_id": "bfaa6cbef4cc42d1bad1315d3ef0d21a", "model_name": "Salesforce/SFR-Embedding-2_R", "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", "Speech-to-speech translation for a real-world unwritten language", "Seeking the Best Embedding Model: Experiences with the MTEB Arena?", "tent", "compass", "flashlight", "water filter", "mixed", "poultry", "dairy", "lily", "tulip", "daisy"], "ncluster": 3, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
 
 
 
 
 
21
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  {"tstamp": 1736325156.8406, "task_type": "clustering", "type": "chat", "model": "Salesforce/SFR-Embedding-2_R", "gen_params": {}, "start": 1736325156.5878, "finish": 1736325156.8406, "ip": "", "conv_id": "bfaa6cbef4cc42d1bad1315d3ef0d21a", "model_name": "Salesforce/SFR-Embedding-2_R", "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", "Speech-to-speech translation for a real-world unwritten language", "Seeking the Best Embedding Model: Experiences with the MTEB Arena?", "tent", "compass", "flashlight", "water filter", "mixed", "poultry", "dairy", "lily", "tulip", "daisy"], "ncluster": 3, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
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data/sts_battle-bf21cabf-e911-4688-b82f-7a6511b7478a.jsonl CHANGED
@@ -1,2 +1,5 @@
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  {"tstamp": 1736315663.0472, "task_type": "sts", "type": "bothbadvote", "models": ["", ""], "ip": "", "0_conv_id": "281cf6ad725d40ce80aa9bf388656d94", "0_model_name": "sentence-transformers/all-MiniLM-L6-v2", "0_txt0": "I know you can't read.", "0_txt1": "And do you read a lot?", "0_txt2": "Do you read a lot?", "0_output": "", "1_conv_id": "c1c740103dd2432cb2a829b198d3ed67", "1_model_name": "jinaai/jina-embeddings-v2-base-en", "1_txt0": "I know you can't read.", "1_txt1": "And do you read a lot?", "1_txt2": "Do you read a lot?", "1_output": ""}
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  {"tstamp": 1736325560.0029, "task_type": "sts", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "fd4fb2f372a54aae9f3d9a25a25a1bc1", "0_model_name": "text-embedding-3-large", "0_txt0": "hello", "0_txt1": "good morning", "0_txt2": "早上好", "0_output": "", "1_conv_id": "eaca34ae7c7b4812a845f3dd33995f29", "1_model_name": "intfloat/multilingual-e5-large-instruct", "1_txt0": "hello", "1_txt1": "good morning", "1_txt2": "早上好", "1_output": ""}
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data/sts_individual-bf21cabf-e911-4688-b82f-7a6511b7478a.jsonl CHANGED
@@ -10,3 +10,9 @@
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  {"tstamp": 1736325574.4389, "task_type": "sts", "type": "chat", "model": "embed-english-v3.0", "gen_params": {}, "start": 1736325574.288, "finish": 1736325574.4389, "ip": "", "conv_id": "1df61671a4fa496184eb541ddaa01bfc", "model_name": "embed-english-v3.0", "txt0": "She saw a bright star in the sky.", "txt1": "She saw a bright star at the awards show.", "txt2": "She observed a luminous celestial object.", "output": ""}
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  {"tstamp": 1736325574.4389, "task_type": "sts", "type": "chat", "model": "embed-english-v3.0", "gen_params": {}, "start": 1736325574.288, "finish": 1736325574.4389, "ip": "", "conv_id": "1df61671a4fa496184eb541ddaa01bfc", "model_name": "embed-english-v3.0", "txt0": "She saw a bright star in the sky.", "txt1": "She saw a bright star at the awards show.", "txt2": "She observed a luminous celestial object.", "output": ""}
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