| {"tstamp": 1726258865.3726, "task_type": "clustering", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "d97929e2717145a0affbeea71fc1c197", "0_model_name": "mixedbread-ai/mxbai-embed-large-v1", "0_prompt": ["If someone online buys something off of my Amazon wish list, do they get my full name and address?", "Package \"In Transit\" over a week. No scheduled delivery date, no locations. What's up?", "Can Amazon gift cards replace a debit card?", "Homesick GWS star Cameron McCarthy on road to recovery", "Accidently ordered 2 of an item, how do I only return 1? For free?", "Need help ASAP, someone ordering in my account", "So who's everyone tipping for Round 1?"], "0_ncluster": 2, "0_output": "", "0_ndim": "3D (press for 2D)", "0_dim_method": "PCA", "0_clustering_method": "KMeans", "1_conv_id": "1de37c39339e4037ba4f11c597751749", "1_model_name": "BAAI/bge-large-en-v1.5", "1_prompt": ["If someone online buys something off of my Amazon wish list, do they get my full name and address?", "Package \"In Transit\" over a week. No scheduled delivery date, no locations. What's up?", "Can Amazon gift cards replace a debit card?", "Homesick GWS star Cameron McCarthy on road to recovery", "Accidently ordered 2 of an item, how do I only return 1? For free?", "Need help ASAP, someone ordering in my account", "So who's everyone tipping for Round 1?"], "1_ncluster": 2, "1_output": "", "1_ndim": "3D (press for 2D)", "1_dim_method": "PCA", "1_clustering_method": "KMeans"} | |
| {"tstamp": 1726326232.2237, "task_type": "clustering", "type": "bothbadvote", "models": ["", ""], "ip": "", "0_conv_id": "0f347b84e05543d4ac17a899e0930810", "0_model_name": "nomic-ai/nomic-embed-text-v1.5", "0_prompt": ["Pussy is great, I love licking pussy", "Pussy is great, I love licking pussyv Rules (Play the video for an explanation ➡️)\nInput & submit texts one-by-one to two anonymous models & vote which clusters them better.\nYou can enter >1 texts at once if you separate them with ", " like in the examples.\nIf you specify a number of clusters >1, a KMeans will be trained on the embeddings and clusters colored according to its predictions.\nClusters are 1D for 1 text, 2D for 2-3 texts, 3D for >3 texts.\nYou have to enter at least 3 texts, else cluster qualities cannot be judged.\n👇 Vote now!"], "0_ncluster": 4, "0_output": "", "0_ndim": "3D (press for 2D)", "0_dim_method": "PCA", "0_clustering_method": "KMeans", "1_conv_id": "0941baa16d8b4392a6f4332d76d6994c", "1_model_name": "GritLM/GritLM-7B", "1_prompt": ["Pussy is great, I love licking pussy", "Pussy is great, I love licking pussyv Rules (Play the video for an explanation ➡️)\nInput & submit texts one-by-one to two anonymous models & vote which clusters them better.\nYou can enter >1 texts at once if you separate them with ", " like in the examples.\nIf you specify a number of clusters >1, a KMeans will be trained on the embeddings and clusters colored according to its predictions.\nClusters are 1D for 1 text, 2D for 2-3 texts, 3D for >3 texts.\nYou have to enter at least 3 texts, else cluster qualities cannot be judged.\n👇 Vote now!"], "1_ncluster": 4, "1_output": "", "1_ndim": "3D (press for 2D)", "1_dim_method": "PCA", "1_clustering_method": "KMeans"} | |