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README.md

@@ -4,27 +4,21 @@ dataset_summary: "Dataset automatically created during the evaluation run of mod
   \ [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1)\
   \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
   \nThe dataset is composed of 64 configuration, each one coresponding to one of the\
-  \ evaluated task.\n\nThe dataset has been created from 3 run(s). Each run can be\
+  \ evaluated task.\n\nThe dataset has been created from 4 run(s). Each run can be\
   \ found as a specific split in each configuration, the split being named using the\
   \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\
   \nAn additional configuration \"results\" store all the aggregated results of the\
-  \ run (and is used to compute and display the agregated metrics on the [Open LLM\
+  \ run (and is used to compute and display the aggregated metrics on the [Open LLM\
   \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\
   \nTo load the details from a run, you can for instance do the following:\n```python\n\
   from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_mistralai__Mistral-7B-v0.1\"\
-  ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
-  These are the [latest results from run 2023-10-26T01:29:53.089924](https://huggingface.co/datasets/open-llm-leaderboard/details_mistralai__Mistral-7B-v0.1/blob/main/results_2023-10-26T01-29-53.089924.json)(note\
+  ,\n\t\"harness_gsm8k_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\nThese\
+  \ are the [latest results from run 2023-12-01T11:13:53.246042](https://huggingface.co/datasets/open-llm-leaderboard/details_mistralai__Mistral-7B-v0.1/blob/main/results_2023-12-01T11-13-53.246042.json)(note\
   \ that their might be results for other tasks in the repos if successive evals didn't\
   \ cover the same tasks. You find each in the results and the \"latest\" split for\
-  \ each eval):\n\n```python\n{\n    \"all\": {\n        \"em\": 0.001572986577181208,\n\
-  \        \"em_stderr\": 0.00040584511324177333,\n        \"f1\": 0.06143666107382555,\n\
-  \        \"f1_stderr\": 0.0013713061256604275,\n        \"acc\": 0.4828952478289202,\n\
-  \        \"acc_stderr\": 0.011049793459166254\n    },\n    \"harness|drop|3\": {\n\
-  \        \"em\": 0.001572986577181208,\n        \"em_stderr\": 0.00040584511324177333,\n\
-  \        \"f1\": 0.06143666107382555,\n        \"f1_stderr\": 0.0013713061256604275\n\
-  \    },\n    \"harness|gsm8k|5\": {\n        \"acc\": 0.17968157695223655,\n   \
-  \     \"acc_stderr\": 0.010575119964242255\n    },\n    \"harness|winogrande|5\"\
-  : {\n        \"acc\": 0.7861089187056038,\n        \"acc_stderr\": 0.011524466954090254\n\
+  \ each eval):\n\n```python\n{\n    \"all\": {\n        \"acc\": 0.378316906747536,\n\
+  \        \"acc_stderr\": 0.013358407831777117\n    },\n    \"harness|gsm8k|5\":\
+  \ {\n        \"acc\": 0.378316906747536,\n        \"acc_stderr\": 0.013358407831777117\n\
   \    }\n}\n```"
 repo_url: https://huggingface.co/mistralai/Mistral-7B-v0.1
 leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
@@ -57,9 +51,12 @@ configs:
   - split: 2023_10_26T01_29_53.089924
     path:
     - '**/details_harness|gsm8k|5_2023-10-26T01-29-53.089924.parquet'
+  - split: 2023_12_01T11_13_53.246042
+    path:
+    - '**/details_harness|gsm8k|5_2023-12-01T11-13-53.246042.parquet'
   - split: latest
     path:
-    - '**/details_harness|gsm8k|5_2023-10-26T01-29-53.089924.parquet'
+    - '**/details_harness|gsm8k|5_2023-12-01T11-13-53.246042.parquet'
 - config_name: harness_hellaswag_10
   data_files:
   - split: 2023_09_27T15_30_59.039834
@@ -674,9 +671,12 @@ configs:
   - split: 2023_10_26T01_29_53.089924
     path:
     - results_2023-10-26T01-29-53.089924.parquet
+  - split: 2023_12_01T11_13_53.246042
+    path:
+    - results_2023-12-01T11-13-53.246042.parquet
   - split: latest
     path:
-    - results_2023-10-26T01-29-53.089924.parquet
+    - results_2023-12-01T11-13-53.246042.parquet
 ---
 
 # Dataset Card for Evaluation run of mistralai/Mistral-7B-v0.1
@@ -695,45 +695,31 @@ Dataset automatically created during the evaluation run of model [mistralai/Mist
 
 The dataset is composed of 64 configuration, each one coresponding to one of the evaluated task.
 
-The dataset has been created from 3 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
+The dataset has been created from 4 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
 
-An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the agregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).
+An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).
 
 To load the details from a run, you can for instance do the following:
 ```python
 from datasets import load_dataset
 data = load_dataset("open-llm-leaderboard/details_mistralai__Mistral-7B-v0.1",
-	"harness_winogrande_5",
+	"harness_gsm8k_5",
 	split="train")
 ```
 
 ## Latest results
 
-These are the [latest results from run 2023-10-26T01:29:53.089924](https://huggingface.co/datasets/open-llm-leaderboard/details_mistralai__Mistral-7B-v0.1/blob/main/results_2023-10-26T01-29-53.089924.json)(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval):
+These are the [latest results from run 2023-12-01T11:13:53.246042](https://huggingface.co/datasets/open-llm-leaderboard/details_mistralai__Mistral-7B-v0.1/blob/main/results_2023-12-01T11-13-53.246042.json)(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval):
 
 ```python
 {
     "all": {
-        "em": 0.001572986577181208,
-        "em_stderr": 0.00040584511324177333,
-        "f1": 0.06143666107382555,
-        "f1_stderr": 0.0013713061256604275,
-        "acc": 0.4828952478289202,
-        "acc_stderr": 0.011049793459166254
-    },
-    "harness|drop|3": {
-        "em": 0.001572986577181208,
-        "em_stderr": 0.00040584511324177333,
-        "f1": 0.06143666107382555,
-        "f1_stderr": 0.0013713061256604275
+        "acc": 0.378316906747536,
+        "acc_stderr": 0.013358407831777117
     },
     "harness|gsm8k|5": {
-        "acc": 0.17968157695223655,
-        "acc_stderr": 0.010575119964242255
-    },
-    "harness|winogrande|5": {
-        "acc": 0.7861089187056038,
-        "acc_stderr": 0.011524466954090254
+        "acc": 0.378316906747536,
+        "acc_stderr": 0.013358407831777117
     }
 }
 ```