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README.md

@@ -3,28 +3,28 @@ pretty_name: Evaluation run of Qwen/Qwen2.5-Coder-3B-Instruct
 dataset_summary: "Dataset automatically created during the evaluation run of model\
   \ [Qwen/Qwen2.5-Coder-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-3B-Instruct).\n\
   \nThe dataset is composed of 1 configuration, each one coresponding to one of the\
-  \ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\
+  \ evaluated task.\n\nThe dataset has been created from 2 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.\n\nTo load the details from a run, you can for instance do the following:\n\
   ```python\nfrom datasets import load_dataset\ndata = load_dataset(\"lewtun/details_Qwen__Qwen2.5-Coder-3B-Instruct\"\
   ,\n\t\"results\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\nThese are the\
-  \ [latest results from run 2025-02-20T22:05:18.665646](https://huggingface.co/datasets/lewtun/details_Qwen__Qwen2.5-Coder-3B-Instruct/blob/main/results_2025-02-20T22-05-18.665646.json)(note\
+  \ [latest results from run 2025-02-20T22:17:48.530293](https://huggingface.co/datasets/lewtun/details_Qwen__Qwen2.5-Coder-3B-Instruct/blob/main/results_2025-02-20T22-17-48.530293.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        \"prompt_level_strict_acc\"\
   : 0.2,\n        \"prompt_level_strict_acc_stderr\": 0.13333333333333333,\n     \
-  \   \"inst_level_strict_acc\": 0.26666666666666666,\n        \"inst_level_strict_acc_stderr\"\
-  : 0.0032001755304124366,\n        \"prompt_level_loose_acc\": 0.2,\n        \"prompt_level_loose_acc_stderr\"\
-  : 0.13333333333333333,\n        \"inst_level_loose_acc\": 0.26666666666666666,\n\
-  \        \"inst_level_loose_acc_stderr\": 0.0032001755304124366\n    },\n    \"\
+  \   \"inst_level_strict_acc\": 0.3333333333333333,\n        \"inst_level_strict_acc_stderr\"\
+  : 0.0030098753895152473,\n        \"prompt_level_loose_acc\": 0.2,\n        \"prompt_level_loose_acc_stderr\"\
+  : 0.13333333333333333,\n        \"inst_level_loose_acc\": 0.3333333333333333,\n\
+  \        \"inst_level_loose_acc_stderr\": 0.0030098753895152473\n    },\n    \"\
   extended|ifeval|0\": {\n        \"prompt_level_strict_acc\": 0.2,\n        \"prompt_level_strict_acc_stderr\"\
-  : 0.13333333333333333,\n        \"inst_level_strict_acc\": 0.26666666666666666,\n\
-  \        \"inst_level_strict_acc_stderr\": 0.0032001755304124366,\n        \"prompt_level_loose_acc\"\
+  : 0.13333333333333333,\n        \"inst_level_strict_acc\": 0.3333333333333333,\n\
+  \        \"inst_level_strict_acc_stderr\": 0.0030098753895152473,\n        \"prompt_level_loose_acc\"\
   : 0.2,\n        \"prompt_level_loose_acc_stderr\": 0.13333333333333333,\n      \
-  \  \"inst_level_loose_acc\": 0.26666666666666666,\n        \"inst_level_loose_acc_stderr\"\
-  : 0.0032001755304124366\n    }\n}\n```"
+  \  \"inst_level_loose_acc\": 0.3333333333333333,\n        \"inst_level_loose_acc_stderr\"\
+  : 0.0030098753895152473\n    }\n}\n```"
 repo_url: https://huggingface.co/Qwen/Qwen2.5-Coder-3B-Instruct
 configs:
 - config_name: extended_ifeval_0
@@ -32,17 +32,23 @@ configs:
   - split: 2025_02_20T22_05_18.665646
     path:
     - '**/details_extended|ifeval|0_2025-02-20T22-05-18.665646.parquet'
+  - split: 2025_02_20T22_17_48.530293
+    path:
+    - '**/details_extended|ifeval|0_2025-02-20T22-17-48.530293.parquet'
   - split: latest
     path:
-    - '**/details_extended|ifeval|0_2025-02-20T22-05-18.665646.parquet'
+    - '**/details_extended|ifeval|0_2025-02-20T22-17-48.530293.parquet'
 - config_name: results
   data_files:
   - split: 2025_02_20T22_05_18.665646
     path:
     - results_2025-02-20T22-05-18.665646.parquet
+  - split: 2025_02_20T22_17_48.530293
+    path:
+    - results_2025-02-20T22-17-48.530293.parquet
   - split: latest
     path:
-    - results_2025-02-20T22-05-18.665646.parquet
+    - results_2025-02-20T22-17-48.530293.parquet
 ---
 
 # Dataset Card for Evaluation run of Qwen/Qwen2.5-Coder-3B-Instruct
@@ -53,7 +59,7 @@ Dataset automatically created during the evaluation run of model [Qwen/Qwen2.5-C
 
 The dataset is composed of 1 configuration, each one coresponding to one of the evaluated task.
 
-The dataset has been created from 1 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 2 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.
 
@@ -67,29 +73,29 @@ data = load_dataset("lewtun/details_Qwen__Qwen2.5-Coder-3B-Instruct",
 
 ## Latest results
 
-These are the [latest results from run 2025-02-20T22:05:18.665646](https://huggingface.co/datasets/lewtun/details_Qwen__Qwen2.5-Coder-3B-Instruct/blob/main/results_2025-02-20T22-05-18.665646.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 2025-02-20T22:17:48.530293](https://huggingface.co/datasets/lewtun/details_Qwen__Qwen2.5-Coder-3B-Instruct/blob/main/results_2025-02-20T22-17-48.530293.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": {
         "prompt_level_strict_acc": 0.2,
         "prompt_level_strict_acc_stderr": 0.13333333333333333,
-        "inst_level_strict_acc": 0.26666666666666666,
-        "inst_level_strict_acc_stderr": 0.0032001755304124366,
+        "inst_level_strict_acc": 0.3333333333333333,
+        "inst_level_strict_acc_stderr": 0.0030098753895152473,
         "prompt_level_loose_acc": 0.2,
         "prompt_level_loose_acc_stderr": 0.13333333333333333,
-        "inst_level_loose_acc": 0.26666666666666666,
-        "inst_level_loose_acc_stderr": 0.0032001755304124366
+        "inst_level_loose_acc": 0.3333333333333333,
+        "inst_level_loose_acc_stderr": 0.0030098753895152473
     },
     "extended|ifeval|0": {
         "prompt_level_strict_acc": 0.2,
         "prompt_level_strict_acc_stderr": 0.13333333333333333,
-        "inst_level_strict_acc": 0.26666666666666666,
-        "inst_level_strict_acc_stderr": 0.0032001755304124366,
+        "inst_level_strict_acc": 0.3333333333333333,
+        "inst_level_strict_acc_stderr": 0.0030098753895152473,
         "prompt_level_loose_acc": 0.2,
         "prompt_level_loose_acc_stderr": 0.13333333333333333,
-        "inst_level_loose_acc": 0.26666666666666666,
-        "inst_level_loose_acc_stderr": 0.0032001755304124366
+        "inst_level_loose_acc": 0.3333333333333333,
+        "inst_level_loose_acc_stderr": 0.0030098753895152473
     }
 }
 ```