Upload README.md with huggingface_hub

README.md

@@ -1,34 +1,34 @@
 ---
-pretty_name: Evaluation run of meta-llama/Llama-3.2-1B-Instruct
+pretty_name: Evaluation run of Qwen/Qwen2.5-1.5B-Instruct
 dataset_summary: "Dataset automatically created during the evaluation run of model\
-  \ meta-llama/Llama-3.2-1B-Instruct\nThe dataset is composed of 12 configuration(s),\
-  \ each one corresponding to one of the evaluated task.\n\nThe dataset has been created\
-  \ from 128 run(s). Each run can be found as a specific split in each configuration,\
+  \ Qwen/Qwen2.5-1.5B-Instruct\nThe dataset is composed of 12 configuration(s), each\
+  \ one corresponding to one of the evaluated task.\n\nThe dataset has been created\
+  \ from 130 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## Latest results\n\nThese are the [latest\
-  \ results from run 2025-11-18T17-05-16.673032](https://huggingface.co/datasets/YanAdjeNole/eppc-2shot/blob/main/meta-llama/Llama-3.2-1B-Instruct/results_2025-11-18T17-05-16.673032.json)\
+  \ results from run 2025-11-18T17-11-48.768867](https://huggingface.co/datasets/YanAdjeNole/eppc-2shot/blob/main/Qwen/Qwen2.5-1.5B-Instruct/results_2025-11-18T17-11-48.768867.json)\
   \ (note that there 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        \"EppcExtraction\": {\n\
   \            \"alias\": \"EppcExtraction\",\n            \"evaluate_eppc,none\"\
-  : {\n                \"code\": {\n                    \"P\": 0.1858,\n         \
-  \           \"R\": 0.3801,\n                    \"f1\": 0.2496\n               \
-  \ },\n                \"sub-code\": {\n                    \"P\": 0.0548,\n    \
-  \                \"R\": 0.1679,\n                    \"f1\": 0.0826\n          \
-  \      },\n                \"span\": {\n                    \"P\": 0.037,\n    \
-  \                \"R\": 0.444,\n                    \"f1\": 0.0684\n           \
-  \     }\n            },\n            \"evaluate_eppc_stderr,none\": \"N/A\"\n  \
-  \      }\n    },\n    \"EppcExtraction\": {\n        \"alias\": \"EppcExtraction\"\
-  ,\n        \"evaluate_eppc,none\": {\n            \"code\": {\n                \"\
-  P\": 0.1858,\n                \"R\": 0.3801,\n                \"f1\": 0.2496\n \
-  \           },\n            \"sub-code\": {\n                \"P\": 0.0548,\n  \
-  \              \"R\": 0.1679,\n                \"f1\": 0.0826\n            },\n\
-  \            \"span\": {\n                \"P\": 0.037,\n                \"R\":\
-  \ 0.444,\n                \"f1\": 0.0684\n            }\n        },\n        \"\
-  evaluate_eppc_stderr,none\": \"N/A\"\n    }\n}\n```"
-repo_url: https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct
+  : {\n                \"code\": {\n                    \"P\": 0.424,\n          \
+  \          \"R\": 0.345,\n                    \"f1\": 0.3805\n                },\n\
+  \                \"sub-code\": {\n                    \"P\": 0.1527,\n         \
+  \           \"R\": 0.1376,\n                    \"f1\": 0.1447\n               \
+  \ },\n                \"span\": {\n                    \"P\": 0.4398,\n        \
+  \            \"R\": 0.5821,\n                    \"f1\": 0.501\n               \
+  \ }\n            },\n            \"evaluate_eppc_stderr,none\": \"N/A\"\n      \
+  \  }\n    },\n    \"EppcExtraction\": {\n        \"alias\": \"EppcExtraction\",\n\
+  \        \"evaluate_eppc,none\": {\n            \"code\": {\n                \"\
+  P\": 0.424,\n                \"R\": 0.345,\n                \"f1\": 0.3805\n   \
+  \         },\n            \"sub-code\": {\n                \"P\": 0.1527,\n    \
+  \            \"R\": 0.1376,\n                \"f1\": 0.1447\n            },\n  \
+  \          \"span\": {\n                \"P\": 0.4398,\n                \"R\": 0.5821,\n\
+  \                \"f1\": 0.501\n            }\n        },\n        \"evaluate_eppc_stderr,none\"\
+  : \"N/A\"\n    }\n}\n```"
+repo_url: https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct
 leaderboard_url: ''
 point_of_contact: ''
 configs:
@@ -42,12 +42,12 @@ configs:
     - '**/samples_EppcExtraction_2025-11-14T14-57-47.537887.jsonl'
 - config_name: Qwen__Qwen2.5-1.5B-Instruct__EppcExtraction
   data_files:
-  - split: 2025_11_18T15_41_00.825261
+  - split: 2025_11_18T17_11_48.768867
     path:
-    - '**/samples_EppcExtraction_2025-11-18T15-41-00.825261.jsonl'
+    - '**/samples_EppcExtraction_2025-11-18T17-11-48.768867.jsonl'
   - split: latest
     path:
-    - '**/samples_EppcExtraction_2025-11-18T15-41-00.825261.jsonl'
+    - '**/samples_EppcExtraction_2025-11-18T17-11-48.768867.jsonl'
 - config_name: Qwen__Qwen2.5-14B-Instruct__EppcExtraction
   data_files:
   - split: 2025_11_18T16_29_09.098283
@@ -138,21 +138,21 @@ configs:
     - '**/samples_EppcExtraction_2025-11-16T04-06-26.242886.jsonl'
 ---
 
-# Dataset Card for Evaluation run of meta-llama/Llama-3.2-1B-Instruct
+# Dataset Card for Evaluation run of Qwen/Qwen2.5-1.5B-Instruct
 
 <!-- Provide a quick summary of the dataset. -->
 
-Dataset automatically created during the evaluation run of model meta-llama/Llama-3.2-1B-Instruct
+Dataset automatically created during the evaluation run of model Qwen/Qwen2.5-1.5B-Instruct
 The dataset is composed of 12 configuration(s), each one corresponding to one of the evaluated task.
 
-The dataset has been created from 128 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 130 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.
 
 To load the details from a run, you can for instance do the following:
 ## Latest results
 
-These are the [latest results from run 2025-11-18T17-05-16.673032](https://huggingface.co/datasets/YanAdjeNole/eppc-2shot/blob/main/meta-llama/Llama-3.2-1B-Instruct/results_2025-11-18T17-05-16.673032.json) (note that there 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 2025-11-18T17-11-48.768867](https://huggingface.co/datasets/YanAdjeNole/eppc-2shot/blob/main/Qwen/Qwen2.5-1.5B-Instruct/results_2025-11-18T17-11-48.768867.json) (note that there 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
 {
@@ -161,19 +161,19 @@ These are the [latest results from run 2025-11-18T17-05-16.673032](https://huggi
             "alias": "EppcExtraction",
             "evaluate_eppc,none": {
                 "code": {
-                    "P": 0.1858,
-                    "R": 0.3801,
-                    "f1": 0.2496
+                    "P": 0.424,
+                    "R": 0.345,
+                    "f1": 0.3805
                 },
                 "sub-code": {
-                    "P": 0.0548,
-                    "R": 0.1679,
-                    "f1": 0.0826
+                    "P": 0.1527,
+                    "R": 0.1376,
+                    "f1": 0.1447
                 },
                 "span": {
-                    "P": 0.037,
-                    "R": 0.444,
-                    "f1": 0.0684
+                    "P": 0.4398,
+                    "R": 0.5821,
+                    "f1": 0.501
                 }
             },
             "evaluate_eppc_stderr,none": "N/A"
@@ -183,19 +183,19 @@ These are the [latest results from run 2025-11-18T17-05-16.673032](https://huggi
         "alias": "EppcExtraction",
         "evaluate_eppc,none": {
             "code": {
-                "P": 0.1858,
-                "R": 0.3801,
-                "f1": 0.2496
+                "P": 0.424,
+                "R": 0.345,
+                "f1": 0.3805
             },
             "sub-code": {
-                "P": 0.0548,
-                "R": 0.1679,
-                "f1": 0.0826
+                "P": 0.1527,
+                "R": 0.1376,
+                "f1": 0.1447
             },
             "span": {
-                "P": 0.037,
-                "R": 0.444,
-                "f1": 0.0684
+                "P": 0.4398,
+                "R": 0.5821,
+                "f1": 0.501
             }
         },
         "evaluate_eppc_stderr,none": "N/A"