Scheduled Commit

data/clustering_individual-1948e9c4-e613-4487-b12e-0e988013b994.jsonl

@@ -41,3 +41,5 @@
 {"tstamp": 1722717795.33, "task_type": "clustering", "type": "chat", "model": "mixedbread-ai/mxbai-embed-large-v1", "gen_params": {}, "start": 1722717794.5897, "finish": 1722717795.33, "ip": "", "conv_id": "8f2c26a27bb54af790a67e3bbed48277", "model_name": "mixedbread-ai/mxbai-embed-large-v1", "prompt": ["beer", "wine", "tequila", "vodka", "rum", "gin", "whiskey", "Google Cloud", "IBM Cloud", "Oracle Cloud", "AWS", "Azure", "OnePlus", "Xiaomi", "Huawei", "Apple", "LG", "Google"], "ncluster": 3, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
 {"tstamp": 1722731376.4675, "task_type": "clustering", "type": "chat", "model": "Alibaba-NLP/gte-Qwen2-7B-instruct", "gen_params": {}, "start": 1722731376.4176, "finish": 1722731376.4675, "ip": "", "conv_id": "05894cd7fdf746a2bcd1a266fbd55a36", "model_name": "Alibaba-NLP/gte-Qwen2-7B-instruct", "prompt": ["model = SentenceTransformer(\"sentence-transformers/all-mpnet-base-v2\")\nembeddings = model.encode(sentences)\nprint(embeddings)"], "ncluster": 1, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
 {"tstamp": 1722731376.4675, "task_type": "clustering", "type": "chat", "model": "embed-english-v3.0", "gen_params": {}, "start": 1722731376.4176, "finish": 1722731376.4675, "ip": "", "conv_id": "c406ceb24d0a4539a797e060d0258ec8", "model_name": "embed-english-v3.0", "prompt": ["model = SentenceTransformer(\"sentence-transformers/all-mpnet-base-v2\")\nembeddings = model.encode(sentences)\nprint(embeddings)"], "ncluster": 1, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
+{"tstamp": 1722732515.6198, "task_type": "clustering", "type": "chat", "model": "Alibaba-NLP/gte-Qwen2-7B-instruct", "gen_params": {}, "start": 1722732515.0585, "finish": 1722732515.6198, "ip": "", "conv_id": "05894cd7fdf746a2bcd1a266fbd55a36", "model_name": "Alibaba-NLP/gte-Qwen2-7B-instruct", "prompt": ["model = SentenceTransformer(\"sentence-transformers/all-mpnet-base-v2\")\nembeddings = model.encode(sentences)\nprint(embeddings)", "Pikachu", "Darth Vader", "Yoda", "Squirtle", "Gandalf", "Legolas", "Mickey Mouse", "Donald Duck", "Charizard"], "ncluster": 4, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
+{"tstamp": 1722732515.6198, "task_type": "clustering", "type": "chat", "model": "embed-english-v3.0", "gen_params": {}, "start": 1722732515.0585, "finish": 1722732515.6198, "ip": "", "conv_id": "c406ceb24d0a4539a797e060d0258ec8", "model_name": "embed-english-v3.0", "prompt": ["model = SentenceTransformer(\"sentence-transformers/all-mpnet-base-v2\")\nembeddings = model.encode(sentences)\nprint(embeddings)", "Pikachu", "Darth Vader", "Yoda", "Squirtle", "Gandalf", "Legolas", "Mickey Mouse", "Donald Duck", "Charizard"], "ncluster": 4, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}