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README.md

@@ -12,9 +12,11 @@ dataset_summary: "Dataset automatically created during the evaluation run of mod
   \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_Kiddyz__testlm-1\"\
   ,\n\t\"harness_truthfulqa_mc_0\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\
-  \nThese are the [latest results from run 2023-08-16T12:53:22.897812](https://huggingface.co/datasets/open-llm-leaderboard/details_Kiddyz__testlm-1/blob/main/results_2023-08-16T12%3A53%3A22.897812.json):\n\
-  \n```python\n{\n    \"all\": {\n        \"acc\": 0.5128834307003443,\n        \"\
-  acc_stderr\": 0.03501260490290392,\n        \"acc_norm\": 0.5166256154161327,\n\
+  \nThese are the [latest results from run 2023-08-16T12:53:22.897812](https://huggingface.co/datasets/open-llm-leaderboard/details_Kiddyz__testlm-1/blob/main/results_2023-08-16T12%3A53%3A22.897812.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        \"acc\": 0.5128834307003443,\n\
+  \        \"acc_stderr\": 0.03501260490290392,\n        \"acc_norm\": 0.5166256154161327,\n\
   \        \"acc_norm_stderr\": 0.03500071412093006,\n        \"mc1\": 0.32802937576499386,\n\
   \        \"mc1_stderr\": 0.01643563293281503,\n        \"mc2\": 0.48413168566081527,\n\
   \        \"mc2_stderr\": 0.015167638286466481\n    },\n    \"harness|arc:challenge|25\"\
@@ -196,7 +198,7 @@ configs:
   - split: latest
     path:
     - '**/details_harness|hellaswag|10_2023-08-16T12:53:22.897812.parquet'
-- config_name: harness_hendrycksTest
+- config_name: harness_hendrycksTest_5
   data_files:
   - split: 2023_08_16T12_53_22.897812
     path:
@@ -782,7 +784,7 @@ configs:
     - '**/details_harness|truthfulqa:mc|0_2023-08-16T12:53:22.897812.parquet'
 - config_name: results
   data_files:
-  - split: 2023_08_16T12_53_22.897812.parquet
+  - split: 2023_08_16T12_53_22.897812
     path:
     - results_2023-08-16T12:53:22.897812.parquet
   - split: latest
@@ -820,7 +822,7 @@ data = load_dataset("open-llm-leaderboard/details_Kiddyz__testlm-1",
 
 ## Latest results
 
-These are the [latest results from run 2023-08-16T12:53:22.897812](https://huggingface.co/datasets/open-llm-leaderboard/details_Kiddyz__testlm-1/blob/main/results_2023-08-16T12%3A53%3A22.897812.json):
+These are the [latest results from run 2023-08-16T12:53:22.897812](https://huggingface.co/datasets/open-llm-leaderboard/details_Kiddyz__testlm-1/blob/main/results_2023-08-16T12%3A53%3A22.897812.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
 {