File size: 36,344 Bytes
39ae149 186db14 7f25b2e bf0fe41 90cbad4 186db14 808b1fa d01c740 40c566f 01c712a 42475c0 066e4c8 05315df 625c407 47cbb1e |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 |
{"tstamp": 1722404039.6586, "task_type": "clustering", "type": "chat", "model": "sentence-transformers/all-MiniLM-L6-v2", "gen_params": {}, "start": 1722404030.4965, "finish": 1722404039.6586, "ip": "", "conv_id": "645bc99853634e95b1d3d7d38bf439e4", "model_name": "sentence-transformers/all-MiniLM-L6-v2", "prompt": ["canine", "wisdom tooth", "cricket", "tennis", "sneakers", "high heels", "loafers", "sandals", "boots", "hydroelectric", "biomass", "quill", "crayon", "fountain pen", "pencil", "chalk"], "ncluster": 5, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
{"tstamp": 1722404039.6586, "task_type": "clustering", "type": "chat", "model": "text-embedding-004", "gen_params": {}, "start": 1722404030.4965, "finish": 1722404039.6586, "ip": "", "conv_id": "8920ba375d3d4b5b8da667b39fb2aee1", "model_name": "text-embedding-004", "prompt": ["canine", "wisdom tooth", "cricket", "tennis", "sneakers", "high heels", "loafers", "sandals", "boots", "hydroelectric", "biomass", "quill", "crayon", "fountain pen", "pencil", "chalk"], "ncluster": 5, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
{"tstamp": 1722406142.1568, "task_type": "clustering", "type": "chat", "model": "GritLM/GritLM-7B", "gen_params": {}, "start": 1722406142.1303, "finish": 1722406142.1568, "ip": "", "conv_id": "65e94e06e60049a0b93f76e75f5f3795", "model_name": "GritLM/GritLM-7B", "prompt": ["T\u00fcrk\u00e7e biliyor musun "], "ncluster": 1, "output": "", "ndim": "3D", "dim_method": "PCA", "clustering_method": "KMeans"}
{"tstamp": 1722418842.482, "task_type": "clustering", "type": "chat", "model": "embed-english-v3.0", "gen_params": {}, "start": 1722418842.1963, "finish": 1722418842.482, "ip": "", "conv_id": "c1ac01c2f4384e999c782170c0e08531", "model_name": "embed-english-v3.0", "prompt": ["green", "red", "orange", "yellow", "blue", "purple", "pink", "banana", "mango", "pear", "apple", "kiwi", "hoe", "wheelbarrow", "shovel", "RAM", "power supply", "SSD", "motherboard", "CPU", "hard drive", "AWS", "Azure", "IBM Cloud", "Google Cloud"], "ncluster": 5, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
{"tstamp": 1722418849.5116, "task_type": "clustering", "type": "chat", "model": "embed-english-v3.0", "gen_params": {}, "start": 1722418849.2741, "finish": 1722418849.5116, "ip": "", "conv_id": "c1ac01c2f4384e999c782170c0e08531", "model_name": "embed-english-v3.0", "prompt": ["green", "red", "orange", "yellow", "blue", "purple", "pink", "banana", "mango", "pear", "apple", "kiwi", "hoe", "wheelbarrow", "shovel", "RAM", "power supply", "SSD", "motherboard", "CPU", "hard drive", "AWS", "Azure", "IBM Cloud", "Google Cloud"], "ncluster": 5, "output": "", "ndim": "2D (press for 3D)", "dim_method": "PCA", "clustering_method": "KMeans"}
{"tstamp": 1722419201.6559, "task_type": "clustering", "type": "chat", "model": "embed-english-v3.0", "gen_params": {}, "start": 1722419201.4263, "finish": 1722419201.6559, "ip": "", "conv_id": "1e7547b40a7247f798f92e91dba29f04", "model_name": "embed-english-v3.0", "prompt": ["LHR", "BER", "DUB", "SYD", "JFK", "LTN", "FRA", "SFO", "LTN", "SIN", "IST", "DBX"], "ncluster": 1, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
{"tstamp": 1722419250.4205, "task_type": "clustering", "type": "chat", "model": "mixedbread-ai/mxbai-embed-large-v1", "gen_params": {}, "start": 1722419250.3309, "finish": 1722419250.4205, "ip": "", "conv_id": "346e5cbb1f934cf6911d6ce7bfa3d236", "model_name": "mixedbread-ai/mxbai-embed-large-v1", "prompt": ["LHR", "BER", "DUB", "SYD", "JFK", "LTN", "FRA", "SFO", "LTN", "SIN", "IST", "DBX"], "ncluster": 3, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
{"tstamp": 1722419250.4205, "task_type": "clustering", "type": "chat", "model": "intfloat/e5-mistral-7b-instruct", "gen_params": {}, "start": 1722419250.3309, "finish": 1722419250.4205, "ip": "", "conv_id": "ba8218c6c5ce4b98ae2e8e4e97573696", "model_name": "intfloat/e5-mistral-7b-instruct", "prompt": ["LHR", "BER", "DUB", "SYD", "JFK", "LTN", "FRA", "SFO", "LTN", "SIN", "IST", "DBX"], "ncluster": 3, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
{"tstamp": 1722434299.6602, "task_type": "clustering", "type": "chat", "model": "GritLM/GritLM-7B", "gen_params": {}, "start": 1722434299.6151, "finish": 1722434299.6602, "ip": "", "conv_id": "938bf910e95f4eb393b20ba88e335007", "model_name": "GritLM/GritLM-7B", "prompt": ["Mexico"], "ncluster": 1, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
{"tstamp": 1722434299.6602, "task_type": "clustering", "type": "chat", "model": "text-embedding-004", "gen_params": {}, "start": 1722434299.6151, "finish": 1722434299.6602, "ip": "", "conv_id": "ebdaf08c76f649468390d3d01dbedc98", "model_name": "text-embedding-004", "prompt": ["Mexico"], "ncluster": 1, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
{"tstamp": 1722434304.705, "task_type": "clustering", "type": "chat", "model": "GritLM/GritLM-7B", "gen_params": {}, "start": 1722434304.4767, "finish": 1722434304.705, "ip": "", "conv_id": "938bf910e95f4eb393b20ba88e335007", "model_name": "GritLM/GritLM-7B", "prompt": ["Mexico", "Munich"], "ncluster": 1, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
{"tstamp": 1722434304.705, "task_type": "clustering", "type": "chat", "model": "text-embedding-004", "gen_params": {}, "start": 1722434304.4767, "finish": 1722434304.705, "ip": "", "conv_id": "ebdaf08c76f649468390d3d01dbedc98", "model_name": "text-embedding-004", "prompt": ["Mexico", "Munich"], "ncluster": 1, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
{"tstamp": 1722434315.3251, "task_type": "clustering", "type": "chat", "model": "GritLM/GritLM-7B", "gen_params": {}, "start": 1722434315.0532, "finish": 1722434315.3251, "ip": "", "conv_id": "938bf910e95f4eb393b20ba88e335007", "model_name": "GritLM/GritLM-7B", "prompt": ["Mexico", "Munich", "green"], "ncluster": 1, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
{"tstamp": 1722434315.3251, "task_type": "clustering", "type": "chat", "model": "text-embedding-004", "gen_params": {}, "start": 1722434315.0532, "finish": 1722434315.3251, "ip": "", "conv_id": "ebdaf08c76f649468390d3d01dbedc98", "model_name": "text-embedding-004", "prompt": ["Mexico", "Munich", "green"], "ncluster": 1, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
{"tstamp": 1722434360.303, "task_type": "clustering", "type": "chat", "model": "GritLM/GritLM-7B", "gen_params": {}, "start": 1722434360.0462, "finish": 1722434360.303, "ip": "", "conv_id": "938bf910e95f4eb393b20ba88e335007", "model_name": "GritLM/GritLM-7B", "prompt": ["Mexico", "Munich", "green", "pink"], "ncluster": 2, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
{"tstamp": 1722434360.303, "task_type": "clustering", "type": "chat", "model": "text-embedding-004", "gen_params": {}, "start": 1722434360.0462, "finish": 1722434360.303, "ip": "", "conv_id": "ebdaf08c76f649468390d3d01dbedc98", "model_name": "text-embedding-004", "prompt": ["Mexico", "Munich", "green", "pink"], "ncluster": 2, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
{"tstamp": 1722434443.3336, "task_type": "clustering", "type": "chat", "model": "jinaai/jina-embeddings-v2-base-en", "gen_params": {}, "start": 1722434443.2604, "finish": 1722434443.3336, "ip": "", "conv_id": "41a32e35270b49dfb313c0d81ca5f458", "model_name": "jinaai/jina-embeddings-v2-base-en", "prompt": ["", "Mexico ", "Tokyo ", " red ", "Munich ", "blue ", " green ", "Amsterdam"], "ncluster": 2, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
{"tstamp": 1722434443.3336, "task_type": "clustering", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1722434443.2604, "finish": 1722434443.3336, "ip": "", "conv_id": "9d368d073ffd4980a322406fbb248f34", "model_name": "BAAI/bge-large-en-v1.5", "prompt": ["", "Mexico ", "Tokyo ", " red ", "Munich ", "blue ", " green ", "Amsterdam"], "ncluster": 2, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
{"tstamp": 1722434480.4481, "task_type": "clustering", "type": "chat", "model": "jinaai/jina-embeddings-v2-base-en", "gen_params": {}, "start": 1722434480.3749, "finish": 1722434480.4481, "ip": "", "conv_id": "41a32e35270b49dfb313c0d81ca5f458", "model_name": "jinaai/jina-embeddings-v2-base-en", "prompt": ["", "Mexico ", "Tokyo ", " red ", "Munich ", "blue ", " green ", "Amsterdam", "", "Mexico ", "Tokyo ", " red ", "Munich ", "blue ", " green ", "Amsterdam"], "ncluster": 2, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
{"tstamp": 1722434480.4481, "task_type": "clustering", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1722434480.3749, "finish": 1722434480.4481, "ip": "", "conv_id": "9d368d073ffd4980a322406fbb248f34", "model_name": "BAAI/bge-large-en-v1.5", "prompt": ["", "Mexico ", "Tokyo ", " red ", "Munich ", "blue ", " green ", "Amsterdam", "", "Mexico ", "Tokyo ", " red ", "Munich ", "blue ", " green ", "Amsterdam"], "ncluster": 2, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
{"tstamp": 1722434626.2583, "task_type": "clustering", "type": "chat", "model": "jinaai/jina-embeddings-v2-base-en", "gen_params": {}, "start": 1722434626.173, "finish": 1722434626.2583, "ip": "", "conv_id": "ad61a18f39b34b538a916dd430904271", "model_name": "jinaai/jina-embeddings-v2-base-en", "prompt": ["I'd be happy to help you create some queries for testing embedding models. Let's start with clustering and retrieval examples.\nFor clustering, here's a list of words that can be clustered together or separately:\n", "apple", "banana", "carrot", "dog", "cat", "hamster", "Paris", "London", "Berlin", "violin", "piano", "guitar", "red", "blue", "green", "lawyer", "doctor", "engineer"], "ncluster": 7, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
{"tstamp": 1722434626.2583, "task_type": "clustering", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1722434626.173, "finish": 1722434626.2583, "ip": "", "conv_id": "244a8108008549ec96b42f6f351c56eb", "model_name": "BAAI/bge-large-en-v1.5", "prompt": ["I'd be happy to help you create some queries for testing embedding models. Let's start with clustering and retrieval examples.\nFor clustering, here's a list of words that can be clustered together or separately:\n", "apple", "banana", "carrot", "dog", "cat", "hamster", "Paris", "London", "Berlin", "violin", "piano", "guitar", "red", "blue", "green", "lawyer", "doctor", "engineer"], "ncluster": 7, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
{"tstamp": 1722434654.8367, "task_type": "clustering", "type": "chat", "model": "jinaai/jina-embeddings-v2-base-en", "gen_params": {}, "start": 1722434654.7296, "finish": 1722434654.8367, "ip": "", "conv_id": "ad61a18f39b34b538a916dd430904271", "model_name": "jinaai/jina-embeddings-v2-base-en", "prompt": ["I'd be happy to help you create some queries for testing embedding models. Let's start with clustering and retrieval examples.\nFor clustering, here's a list of words that can be clustered together or separately:\n", "apple", "banana", "carrot", "dog", "cat", "hamster", "Paris", "London", "Berlin", "violin", "piano", "guitar", "red", "blue", "green", "lawyer", "doctor", "engineer", "", "apple", "banana", "carrot", "dog", "cat", "hamster", "Paris", "London", "Berlin", "violin", "piano", "guitar", "red", "blue", "green", "lawyer", "doctor", "engineer"], "ncluster": 7, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
{"tstamp": 1722434654.8367, "task_type": "clustering", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1722434654.7296, "finish": 1722434654.8367, "ip": "", "conv_id": "244a8108008549ec96b42f6f351c56eb", "model_name": "BAAI/bge-large-en-v1.5", "prompt": ["I'd be happy to help you create some queries for testing embedding models. Let's start with clustering and retrieval examples.\nFor clustering, here's a list of words that can be clustered together or separately:\n", "apple", "banana", "carrot", "dog", "cat", "hamster", "Paris", "London", "Berlin", "violin", "piano", "guitar", "red", "blue", "green", "lawyer", "doctor", "engineer", "", "apple", "banana", "carrot", "dog", "cat", "hamster", "Paris", "London", "Berlin", "violin", "piano", "guitar", "red", "blue", "green", "lawyer", "doctor", "engineer"], "ncluster": 7, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
{"tstamp": 1722434692.6124, "task_type": "clustering", "type": "chat", "model": "jinaai/jina-embeddings-v2-base-en", "gen_params": {}, "start": 1722434692.5034, "finish": 1722434692.6124, "ip": "", "conv_id": "ad61a18f39b34b538a916dd430904271", "model_name": "jinaai/jina-embeddings-v2-base-en", "prompt": ["I'd be happy to help you create some queries for testing embedding models. Let's start with clustering and retrieval examples.\nFor clustering, here's a list of words that can be clustered together or separately:\n", "apple", "banana", "carrot", "dog", "cat", "hamster", "Paris", "London", "Berlin", "violin", "piano", "guitar", "red", "blue", "green", "lawyer", "doctor", "engineer", "", "apple", "banana", "carrot", "dog", "cat", "hamster", "Paris", "London", "Berlin", "violin", "piano", "guitar", "red", "blue", "green", "lawyer", "doctor", "engineer", "", "apple", "banana", "carrot", "dog", "cat", "hamster", "Paris", "London", "Berlin", "violin", "piano", "guitar", "red", "blue", "green", "lawyer", "doctor", "engineer"], "ncluster": 7, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
{"tstamp": 1722434692.6124, "task_type": "clustering", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1722434692.5034, "finish": 1722434692.6124, "ip": "", "conv_id": "244a8108008549ec96b42f6f351c56eb", "model_name": "BAAI/bge-large-en-v1.5", "prompt": ["I'd be happy to help you create some queries for testing embedding models. Let's start with clustering and retrieval examples.\nFor clustering, here's a list of words that can be clustered together or separately:\n", "apple", "banana", "carrot", "dog", "cat", "hamster", "Paris", "London", "Berlin", "violin", "piano", "guitar", "red", "blue", "green", "lawyer", "doctor", "engineer", "", "apple", "banana", "carrot", "dog", "cat", "hamster", "Paris", "London", "Berlin", "violin", "piano", "guitar", "red", "blue", "green", "lawyer", "doctor", "engineer", "", "apple", "banana", "carrot", "dog", "cat", "hamster", "Paris", "London", "Berlin", "violin", "piano", "guitar", "red", "blue", "green", "lawyer", "doctor", "engineer"], "ncluster": 7, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
{"tstamp": 1722434710.4181, "task_type": "clustering", "type": "chat", "model": "jinaai/jina-embeddings-v2-base-en", "gen_params": {}, "start": 1722434710.343, "finish": 1722434710.4181, "ip": "", "conv_id": "84e465ac0d8146469d04220067f5a378", "model_name": "jinaai/jina-embeddings-v2-base-en", "prompt": ["", "apple", "banana", "carrot", "dog", "cat", "hamster", "Paris", "London", "Berlin", "violin", "piano", "guitar", "red", "blue", "green", "lawyer", "doctor", "engineer"], "ncluster": 7, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
{"tstamp": 1722434710.4181, "task_type": "clustering", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1722434710.343, "finish": 1722434710.4181, "ip": "", "conv_id": "887dadbf87b145118d7e2e17bce65d98", "model_name": "BAAI/bge-large-en-v1.5", "prompt": ["", "apple", "banana", "carrot", "dog", "cat", "hamster", "Paris", "London", "Berlin", "violin", "piano", "guitar", "red", "blue", "green", "lawyer", "doctor", "engineer"], "ncluster": 7, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
{"tstamp": 1722434745.5092, "task_type": "clustering", "type": "chat", "model": "jinaai/jina-embeddings-v2-base-en", "gen_params": {}, "start": 1722434745.4071, "finish": 1722434745.5092, "ip": "", "conv_id": "84e465ac0d8146469d04220067f5a378", "model_name": "jinaai/jina-embeddings-v2-base-en", "prompt": ["", "apple", "banana", "carrot", "dog", "cat", "hamster", "Paris", "London", "Berlin", "violin", "piano", "guitar", "red", "blue", "green", "lawyer", "doctor", "engineer", "", "apple", "banana", "carrot", "dog", "cat", "hamster", "Paris", "London", "Berlin", "violin", "piano", "guitar", "red", "blue", "green", "lawyer", "doctor", "engineer"], "ncluster": 7, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
{"tstamp": 1722434745.5092, "task_type": "clustering", "type": "chat", "model": "Salesforce/SFR-Embedding-2_R", "gen_params": {}, "start": 1722434745.4071, "finish": 1722434745.5092, "ip": "", "conv_id": "887dadbf87b145118d7e2e17bce65d98", "model_name": "Salesforce/SFR-Embedding-2_R", "prompt": ["", "apple", "banana", "carrot", "dog", "cat", "hamster", "Paris", "London", "Berlin", "violin", "piano", "guitar", "red", "blue", "green", "lawyer", "doctor", "engineer", "", "apple", "banana", "carrot", "dog", "cat", "hamster", "Paris", "London", "Berlin", "violin", "piano", "guitar", "red", "blue", "green", "lawyer", "doctor", "engineer"], "ncluster": 7, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
{"tstamp": 1722434894.4043, "task_type": "clustering", "type": "chat", "model": "jinaai/jina-embeddings-v2-base-en", "gen_params": {}, "start": 1722434894.3002, "finish": 1722434894.4043, "ip": "", "conv_id": "84e465ac0d8146469d04220067f5a378", "model_name": "jinaai/jina-embeddings-v2-base-en", "prompt": ["", "apple", "banana", "carrot", "dog", "cat", "hamster", "Paris", "London", "Berlin", "violin", "piano", "guitar", "red", "blue", "green", "lawyer", "doctor", "engineer", "", "apple", "banana", "carrot", "dog", "cat", "hamster", "Paris", "London", "Berlin", "violin", "piano", "guitar", "red", "blue", "green", "lawyer", "doctor", "engineer", "", "apple", "banana", "carrot", "dog", "cat", "hamster", "Paris", "London", "Berlin", "violin", "piano", "guitar", "red", "blue", "green", "lawyer", "doctor", "engineer", "", "apple", "banana", "carrot", "dog", "cat", "hamster", "Paris", "London", "Berlin", "violin", "piano", "guitar", "red", "blue", "green", "lawyer", "doctor", "engineer"], "ncluster": 1, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
{"tstamp": 1722434894.4043, "task_type": "clustering", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1722434894.3002, "finish": 1722434894.4043, "ip": "", "conv_id": "887dadbf87b145118d7e2e17bce65d98", "model_name": "BAAI/bge-large-en-v1.5", "prompt": ["", "apple", "banana", "carrot", "dog", "cat", "hamster", "Paris", "London", "Berlin", "violin", "piano", "guitar", "red", "blue", "green", "lawyer", "doctor", "engineer", "", "apple", "banana", "carrot", "dog", "cat", "hamster", "Paris", "London", "Berlin", "violin", "piano", "guitar", "red", "blue", "green", "lawyer", "doctor", "engineer", "", "apple", "banana", "carrot", "dog", "cat", "hamster", "Paris", "London", "Berlin", "violin", "piano", "guitar", "red", "blue", "green", "lawyer", "doctor", "engineer", "", "apple", "banana", "carrot", "dog", "cat", "hamster", "Paris", "London", "Berlin", "violin", "piano", "guitar", "red", "blue", "green", "lawyer", "doctor", "engineer"], "ncluster": 1, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
{"tstamp": 1722434923.379, "task_type": "clustering", "type": "chat", "model": "jinaai/jina-embeddings-v2-base-en", "gen_params": {}, "start": 1722434923.2643, "finish": 1722434923.379, "ip": "", "conv_id": "84e465ac0d8146469d04220067f5a378", "model_name": "jinaai/jina-embeddings-v2-base-en", "prompt": ["", "apple", "banana", "carrot", "dog", "cat", "hamster", "Paris", "London", "Berlin", "violin", "piano", "guitar", "red", "blue", "green", "lawyer", "doctor", "engineer", "", "apple", "banana", "carrot", "dog", "cat", "hamster", "Paris", "London", "Berlin", "violin", "piano", "guitar", "red", "blue", "green", "lawyer", "doctor", "engineer", "", "apple", "banana", "carrot", "dog", "cat", "hamster", "Paris", "London", "Berlin", "violin", "piano", "guitar", "red", "blue", "green", "lawyer", "doctor", "engineer", "", "apple", "banana", "carrot", "dog", "cat", "hamster", "Paris", "London", "Berlin", "violin", "piano", "guitar", "red", "blue", "green", "lawyer", "doctor", "engineer", "", "apple", "banana", "carrot", "dog", "cat", "hamster", "Paris", "London", "Berlin", "violin", "piano", "guitar", "red", "blue", "green", "lawyer", "doctor", "engineer"], "ncluster": 6, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
{"tstamp": 1722434923.379, "task_type": "clustering", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1722434923.2643, "finish": 1722434923.379, "ip": "", "conv_id": "887dadbf87b145118d7e2e17bce65d98", "model_name": "BAAI/bge-large-en-v1.5", "prompt": ["", "apple", "banana", "carrot", "dog", "cat", "hamster", "Paris", "London", "Berlin", "violin", "piano", "guitar", "red", "blue", "green", "lawyer", "doctor", "engineer", "", "apple", "banana", "carrot", "dog", "cat", "hamster", "Paris", "London", "Berlin", "violin", "piano", "guitar", "red", "blue", "green", "lawyer", "doctor", "engineer", "", "apple", "banana", "carrot", "dog", "cat", "hamster", "Paris", "London", "Berlin", "violin", "piano", "guitar", "red", "blue", "green", "lawyer", "doctor", "engineer", "", "apple", "banana", "carrot", "dog", "cat", "hamster", "Paris", "London", "Berlin", "violin", "piano", "guitar", "red", "blue", "green", "lawyer", "doctor", "engineer", "", "apple", "banana", "carrot", "dog", "cat", "hamster", "Paris", "London", "Berlin", "violin", "piano", "guitar", "red", "blue", "green", "lawyer", "doctor", "engineer"], "ncluster": 6, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
{"tstamp": 1722435431.2089, "task_type": "clustering", "type": "chat", "model": "jinaai/jina-embeddings-v2-base-en", "gen_params": {}, "start": 1722435431.0839, "finish": 1722435431.2089, "ip": "", "conv_id": "84e465ac0d8146469d04220067f5a378", "model_name": "jinaai/jina-embeddings-v2-base-en", "prompt": ["", "apple", "banana", "carrot", "dog", "cat", "hamster", "Paris", "London", "Berlin", "violin", "piano", "guitar", "red", "blue", "green", "lawyer", "doctor", "engineer", "", "apple", "banana", "carrot", "dog", "cat", "hamster", "Paris", "London", "Berlin", "violin", "piano", "guitar", "red", "blue", "green", "lawyer", "doctor", "engineer", "", "apple", "banana", "carrot", "dog", "cat", "hamster", "Paris", "London", "Berlin", "violin", "piano", "guitar", "red", "blue", "green", "lawyer", "doctor", "engineer", "", "apple", "banana", "carrot", "dog", "cat", "hamster", "Paris", "London", "Berlin", "violin", "piano", "guitar", "red", "blue", "green", "lawyer", "doctor", "engineer", "", "apple", "banana", "carrot", "dog", "cat", "hamster", "Paris", "London", "Berlin", "violin", "piano", "guitar", "red", "blue", "green", "lawyer", "doctor", "engineer", "square", "circle", "pentagon", "triangle", "rectangle", "Egyptian", "Chinese", "Greek", "Norse"], "ncluster": 2, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
{"tstamp": 1722435431.2089, "task_type": "clustering", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1722435431.0839, "finish": 1722435431.2089, "ip": "", "conv_id": "887dadbf87b145118d7e2e17bce65d98", "model_name": "BAAI/bge-large-en-v1.5", "prompt": ["", "apple", "banana", "carrot", "dog", "cat", "hamster", "Paris", "London", "Berlin", "violin", "piano", "guitar", "red", "blue", "green", "lawyer", "doctor", "engineer", "", "apple", "banana", "carrot", "dog", "cat", "hamster", "Paris", "London", "Berlin", "violin", "piano", "guitar", "red", "blue", "green", "lawyer", "doctor", "engineer", "", "apple", "banana", "carrot", "dog", "cat", "hamster", "Paris", "London", "Berlin", "violin", "piano", "guitar", "red", "blue", "green", "lawyer", "doctor", "engineer", "", "apple", "banana", "carrot", "dog", "cat", "hamster", "Paris", "London", "Berlin", "violin", "piano", "guitar", "red", "blue", "green", "lawyer", "doctor", "engineer", "", "apple", "banana", "carrot", "dog", "cat", "hamster", "Paris", "London", "Berlin", "violin", "piano", "guitar", "red", "blue", "green", "lawyer", "doctor", "engineer", "square", "circle", "pentagon", "triangle", "rectangle", "Egyptian", "Chinese", "Greek", "Norse"], "ncluster": 2, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
{"tstamp": 1722435461.9802, "task_type": "clustering", "type": "chat", "model": "jinaai/jina-embeddings-v2-base-en", "gen_params": {}, "start": 1722435461.8869, "finish": 1722435461.9802, "ip": "", "conv_id": "7e2f54d2a71845dca8153583d6547a26", "model_name": "jinaai/jina-embeddings-v2-base-en", "prompt": ["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": 1722435461.9802, "task_type": "clustering", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1722435461.8869, "finish": 1722435461.9802, "ip": "", "conv_id": "a193d913382d432b92f44480ac090c70", "model_name": "BAAI/bge-large-en-v1.5", "prompt": ["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": 1722435490.0491, "task_type": "clustering", "type": "chat", "model": "jinaai/jina-embeddings-v2-base-en", "gen_params": {}, "start": 1722435489.9698, "finish": 1722435490.0491, "ip": "", "conv_id": "7e2f54d2a71845dca8153583d6547a26", "model_name": "jinaai/jina-embeddings-v2-base-en", "prompt": ["Pikachu", "Darth Vader", "Yoda", "Squirtle", "Gandalf", "Legolas", "Mickey Mouse", "Donald Duck", "Charizard", "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?"], "ncluster": 2, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
{"tstamp": 1722435490.0491, "task_type": "clustering", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1722435489.9698, "finish": 1722435490.0491, "ip": "", "conv_id": "a193d913382d432b92f44480ac090c70", "model_name": "BAAI/bge-large-en-v1.5", "prompt": ["Pikachu", "Darth Vader", "Yoda", "Squirtle", "Gandalf", "Legolas", "Mickey Mouse", "Donald Duck", "Charizard", "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?"], "ncluster": 2, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
{"tstamp": 1722435514.2423, "task_type": "clustering", "type": "chat", "model": "jinaai/jina-embeddings-v2-base-en", "gen_params": {}, "start": 1722435514.1428, "finish": 1722435514.2423, "ip": "", "conv_id": "7e2f54d2a71845dca8153583d6547a26", "model_name": "jinaai/jina-embeddings-v2-base-en", "prompt": ["Pikachu", "Darth Vader", "Yoda", "Squirtle", "Gandalf", "Legolas", "Mickey Mouse", "Donald Duck", "Charizard", "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?", "octagon", "rectangle", "Temple of Artemis", "Colossus of Rhodes", "Statue of Zeus", "Lighthouse of Alexandria", "Hanging Gardens of Babylon", "Pyramids of Giza", "brunette", "black", "blonde", "redhead", "gray", "auburn", "white", "soccer", "basketball", "tennis", "baseball", "cricket", "ruby", "topaz", "diamond"], "ncluster": 5, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
{"tstamp": 1722435514.2423, "task_type": "clustering", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1722435514.1428, "finish": 1722435514.2423, "ip": "", "conv_id": "a193d913382d432b92f44480ac090c70", "model_name": "BAAI/bge-large-en-v1.5", "prompt": ["Pikachu", "Darth Vader", "Yoda", "Squirtle", "Gandalf", "Legolas", "Mickey Mouse", "Donald Duck", "Charizard", "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?", "octagon", "rectangle", "Temple of Artemis", "Colossus of Rhodes", "Statue of Zeus", "Lighthouse of Alexandria", "Hanging Gardens of Babylon", "Pyramids of Giza", "brunette", "black", "blonde", "redhead", "gray", "auburn", "white", "soccer", "basketball", "tennis", "baseball", "cricket", "ruby", "topaz", "diamond"], "ncluster": 5, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
{"tstamp": 1722435539.6924, "task_type": "clustering", "type": "chat", "model": "jinaai/jina-embeddings-v2-base-en", "gen_params": {}, "start": 1722435539.6166, "finish": 1722435539.6924, "ip": "", "conv_id": "dac9a2a0b997486cb92dbd5feed1b831", "model_name": "jinaai/jina-embeddings-v2-base-en", "prompt": ["octagon", "rectangle", "Temple of Artemis", "Colossus of Rhodes", "Statue of Zeus", "Lighthouse of Alexandria", "Hanging Gardens of Babylon", "Pyramids of Giza", "brunette", "black", "blonde", "redhead", "gray", "auburn", "white", "soccer", "basketball", "tennis", "baseball", "cricket", "ruby", "topaz", "diamond"], "ncluster": 5, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
{"tstamp": 1722435539.6924, "task_type": "clustering", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1722435539.6166, "finish": 1722435539.6924, "ip": "", "conv_id": "2fd4247311744d0fade32bc19b4fc61f", "model_name": "BAAI/bge-large-en-v1.5", "prompt": ["octagon", "rectangle", "Temple of Artemis", "Colossus of Rhodes", "Statue of Zeus", "Lighthouse of Alexandria", "Hanging Gardens of Babylon", "Pyramids of Giza", "brunette", "black", "blonde", "redhead", "gray", "auburn", "white", "soccer", "basketball", "tennis", "baseball", "cricket", "ruby", "topaz", "diamond"], "ncluster": 5, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
{"tstamp": 1722435608.784, "task_type": "clustering", "type": "chat", "model": "jinaai/jina-embeddings-v2-base-en", "gen_params": {}, "start": 1722435608.675, "finish": 1722435608.784, "ip": "", "conv_id": "f2463c866c4a4d6197bf9db3b2d764c4", "model_name": "jinaai/jina-embeddings-v2-base-en", "prompt": ["octagon", "rectangle", "Temple of Artemis", "Colossus of Rhodes", "Statue of Zeus", "Lighthouse of Alexandria", "Hanging Gardens of Babylon", "Pyramids of Giza", "brunette", "black", "blonde", "redhead", "gray", "auburn", "white", "soccer", "basketball", "tennis", "baseball", "cricket", "ruby", "topaz", "diamond"], "ncluster": 5, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
{"tstamp": 1722435608.784, "task_type": "clustering", "type": "chat", "model": "Salesforce/SFR-Embedding-2_R", "gen_params": {}, "start": 1722435608.675, "finish": 1722435608.784, "ip": "", "conv_id": "38e5e9fa7659433fbeb0c586cb46bc6a", "model_name": "Salesforce/SFR-Embedding-2_R", "prompt": ["octagon", "rectangle", "Temple of Artemis", "Colossus of Rhodes", "Statue of Zeus", "Lighthouse of Alexandria", "Hanging Gardens of Babylon", "Pyramids of Giza", "brunette", "black", "blonde", "redhead", "gray", "auburn", "white", "soccer", "basketball", "tennis", "baseball", "cricket", "ruby", "topaz", "diamond"], "ncluster": 5, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
{"tstamp": 1722435687.9258, "task_type": "clustering", "type": "chat", "model": "jinaai/jina-embeddings-v2-base-en", "gen_params": {}, "start": 1722435687.8389, "finish": 1722435687.9258, "ip": "", "conv_id": "e2902d845c594bf59d5f3852bfbd708e", "model_name": "jinaai/jina-embeddings-v2-base-en", "prompt": ["", "pizza", "pasta", "sushi", "python", "java", "javascript", "car", "bus", "train", "violin", "cello", "bass", "oxygen", "hydrogen", "nitrogen"], "ncluster": 5, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
{"tstamp": 1722435687.9258, "task_type": "clustering", "type": "chat", "model": "Salesforce/SFR-Embedding-2_R", "gen_params": {}, "start": 1722435687.8389, "finish": 1722435687.9258, "ip": "", "conv_id": "00996270e0694fab99e948fd905189b8", "model_name": "Salesforce/SFR-Embedding-2_R", "prompt": ["", "pizza", "pasta", "sushi", "python", "java", "javascript", "car", "bus", "train", "violin", "cello", "bass", "oxygen", "hydrogen", "nitrogen"], "ncluster": 5, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
{"tstamp": 1722435730.246, "task_type": "clustering", "type": "chat", "model": "jinaai/jina-embeddings-v2-base-en", "gen_params": {}, "start": 1722435730.1698, "finish": 1722435730.246, "ip": "", "conv_id": "18e461e1e27e4a9d901369d43dedd17d", "model_name": "jinaai/jina-embeddings-v2-base-en", "prompt": ["", "pizza", "pasta", "sushi", "python", "java", "javascript", "car", "bus", "train", "violin", "cello", "bass", "oxygen", "hydrogen", "nitrogen"], "ncluster": 5, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
{"tstamp": 1722435730.246, "task_type": "clustering", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1722435730.1698, "finish": 1722435730.246, "ip": "", "conv_id": "e7bbc8d9e4ad49979ec4409c7dc1db10", "model_name": "BAAI/bge-large-en-v1.5", "prompt": ["", "pizza", "pasta", "sushi", "python", "java", "javascript", "car", "bus", "train", "violin", "cello", "bass", "oxygen", "hydrogen", "nitrogen"], "ncluster": 5, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
|