Hugging Face's logo

Datasets:
mteb
/
arena-results

Modalities:
Tabular
Text
Formats:
json
Size:
1K - 10K
Libraries:
Datasets
Dask
Dataset card Viewer Files Community
1
Muennighoff commited on
Commit
ad6ae78
•
1 Parent(s): c99db98

Scheduled Commit

Browse files
Files changed (1) hide show
  1. data/clustering_individual-030c828b-1146-493e-9ec8-e818276b89db.jsonl +2 -0
data/clustering_individual-030c828b-1146-493e-9ec8-e818276b89db.jsonl CHANGED
@@ -23,3 +23,5 @@
23
  {"tstamp": 1725462065.394, "task_type": "clustering", "type": "chat", "model": "GritLM/GritLM-7B", "gen_params": {}, "start": 1725462065.3394, "finish": 1725462065.394, "ip": "", "conv_id": "de8c2285773b4581a592f1982c41a59d", "model_name": "GritLM/GritLM-7B", "prompt": ["Shanghai", "Beijing", "Shenzhen", "Hangzhou", "Seattle", "Boston", "New York", "San Francisco"], "ncluster": 2, "output": "", "ndim": "3D", "dim_method": "PCA", "clustering_method": "KMeans"}
24
  {"tstamp": 1725462120.7577, "task_type": "clustering", "type": "chat", "model": "GritLM/GritLM-7B", "gen_params": {}, "start": 1725462120.706, "finish": 1725462120.7577, "ip": "", "conv_id": "de8c2285773b4581a592f1982c41a59d", "model_name": "GritLM/GritLM-7B", "prompt": ["Shanghai", "Beijing", "Shenzhen", "Hangzhou", "Seattle", "Boston", "New York", "San Francisco", "Shanghai", "Beijing", "Shenzhen", "Hangzhou", "Seattle", "Boston", "New York", "San Francisco", "Miami", "Montreal"], "ncluster": 2, "output": "", "ndim": "3D", "dim_method": "PCA", "clustering_method": "KMeans"}
25
  {"tstamp": 1725462170.4499, "task_type": "clustering", "type": "chat", "model": "GritLM/GritLM-7B", "gen_params": {}, "start": 1725462170.1462, "finish": 1725462170.4499, "ip": "", "conv_id": "de8c2285773b4581a592f1982c41a59d", "model_name": "GritLM/GritLM-7B", "prompt": ["Shanghai", "Beijing", "Shenzhen", "Hangzhou", "Seattle", "Boston", "New York", "San Francisco", "Shanghai", "Beijing", "Shenzhen", "Hangzhou", "Seattle", "Boston", "New York", "San Francisco", "Miami", "Montreal"], "ncluster": 2, "output": "", "ndim": "3D", "dim_method": "PCA", "clustering_method": "KMeans"}
 
 
 
23
  {"tstamp": 1725462065.394, "task_type": "clustering", "type": "chat", "model": "GritLM/GritLM-7B", "gen_params": {}, "start": 1725462065.3394, "finish": 1725462065.394, "ip": "", "conv_id": "de8c2285773b4581a592f1982c41a59d", "model_name": "GritLM/GritLM-7B", "prompt": ["Shanghai", "Beijing", "Shenzhen", "Hangzhou", "Seattle", "Boston", "New York", "San Francisco"], "ncluster": 2, "output": "", "ndim": "3D", "dim_method": "PCA", "clustering_method": "KMeans"}
24
  {"tstamp": 1725462120.7577, "task_type": "clustering", "type": "chat", "model": "GritLM/GritLM-7B", "gen_params": {}, "start": 1725462120.706, "finish": 1725462120.7577, "ip": "", "conv_id": "de8c2285773b4581a592f1982c41a59d", "model_name": "GritLM/GritLM-7B", "prompt": ["Shanghai", "Beijing", "Shenzhen", "Hangzhou", "Seattle", "Boston", "New York", "San Francisco", "Shanghai", "Beijing", "Shenzhen", "Hangzhou", "Seattle", "Boston", "New York", "San Francisco", "Miami", "Montreal"], "ncluster": 2, "output": "", "ndim": "3D", "dim_method": "PCA", "clustering_method": "KMeans"}
25
  {"tstamp": 1725462170.4499, "task_type": "clustering", "type": "chat", "model": "GritLM/GritLM-7B", "gen_params": {}, "start": 1725462170.1462, "finish": 1725462170.4499, "ip": "", "conv_id": "de8c2285773b4581a592f1982c41a59d", "model_name": "GritLM/GritLM-7B", "prompt": ["Shanghai", "Beijing", "Shenzhen", "Hangzhou", "Seattle", "Boston", "New York", "San Francisco", "Shanghai", "Beijing", "Shenzhen", "Hangzhou", "Seattle", "Boston", "New York", "San Francisco", "Miami", "Montreal"], "ncluster": 2, "output": "", "ndim": "3D", "dim_method": "PCA", "clustering_method": "KMeans"}
26
+ {"tstamp": 1725469628.3477, "task_type": "clustering", "type": "chat", "model": "GritLM/GritLM-7B", "gen_params": {}, "start": 1725469628.3167, "finish": 1725469628.3477, "ip": "", "conv_id": "2a97387838d04266a86347d5eda81ed6", "model_name": "GritLM/GritLM-7B", "prompt": ["каморник"], "ncluster": 1, "output": "", "ndim": "3D", "dim_method": "PCA", "clustering_method": "KMeans"}
27
+ {"tstamp": 1725469640.9111, "task_type": "clustering", "type": "chat", "model": "GritLM/GritLM-7B", "gen_params": {}, "start": 1725469640.8885, "finish": 1725469640.9111, "ip": "", "conv_id": "2a97387838d04266a86347d5eda81ed6", "model_name": "GritLM/GritLM-7B", "prompt": ["каморник"], "ncluster": 1, "output": "", "ndim": "3D", "dim_method": "PCA", "clustering_method": "KMeans"}