--- pretty_name: Evaluation run of Lansechen/Qwen2.5-7B-Open-R1-GRPO-math-lighteval dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [Lansechen/Qwen2.5-7B-Open-R1-GRPO-math-lighteval](https://huggingface.co/Lansechen/Qwen2.5-7B-Open-R1-GRPO-math-lighteval).\n\ \nThe dataset is composed of 5 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 23 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(\"Lansechen/details_Lansechen__Qwen2.5-7B-Open-R1-GRPO-math-lighteval\"\ ,\n\t\"results\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\nThese are the\ \ [latest results from run 2025-04-10T14:54:30.856264](https://huggingface.co/datasets/Lansechen/details_Lansechen__Qwen2.5-7B-Open-R1-GRPO-math-lighteval/blob/main/results_2025-04-10T14-54-30.856264.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 \"math_pass@1:32_samples\"\ : 0.08958333333333333,\n \"math_pass@1:32_samples_stderr\": 0.04723243353647764,\n\ \ \"extractive_match\": 0.06666666666666667,\n \"extractive_match_stderr\"\ : 0.046320555585310084\n },\n \"lighteval|aime24|0\": {\n \"math_pass@1:32_samples\"\ : 0.08958333333333333,\n \"math_pass@1:32_samples_stderr\": 0.04723243353647764,\n\ \ \"extractive_match\": 0.06666666666666667,\n \"extractive_match_stderr\"\ : 0.046320555585310084\n }\n}\n```" repo_url: https://huggingface.co/Lansechen/Qwen2.5-7B-Open-R1-GRPO-math-lighteval configs: - config_name: custom_aime24_0 data_files: - split: 2025_03_28T10_37_38.629459 path: - '**/details_custom|aime24|0_2025-03-28T10-37-38.629459.parquet' - split: 2025_03_28T13_14_43.186255 path: - '**/details_custom|aime24|0_2025-03-28T13-14-43.186255.parquet' - split: 2025_03_28T13_26_12.267780 path: - '**/details_custom|aime24|0_2025-03-28T13-26-12.267780.parquet' - split: 2025_03_28T14_11_29.038302 path: - '**/details_custom|aime24|0_2025-03-28T14-11-29.038302.parquet' - split: 2025_03_28T14_32_22.819138 path: - '**/details_custom|aime24|0_2025-03-28T14-32-22.819138.parquet' - split: 2025_03_28T14_54_09.501999 path: - '**/details_custom|aime24|0_2025-03-28T14-54-09.501999.parquet' - split: latest path: - '**/details_custom|aime24|0_2025-03-28T14-54-09.501999.parquet' - config_name: custom_gpqa_diamond_0 data_files: - split: 2025_03_28T10_58_06.563520 path: - '**/details_custom|gpqa:diamond|0_2025-03-28T10-58-06.563520.parquet' - split: 2025_03_28T12_58_55.375766 path: - '**/details_custom|gpqa:diamond|0_2025-03-28T12-58-55.375766.parquet' - split: 2025_03_28T14_06_27.227839 path: - '**/details_custom|gpqa:diamond|0_2025-03-28T14-06-27.227839.parquet' - split: 2025_03_28T14_28_02.099788 path: - '**/details_custom|gpqa:diamond|0_2025-03-28T14-28-02.099788.parquet' - split: 2025_03_28T14_47_41.924017 path: - '**/details_custom|gpqa:diamond|0_2025-03-28T14-47-41.924017.parquet' - split: 2025_03_28T15_04_39.073716 path: - '**/details_custom|gpqa:diamond|0_2025-03-28T15-04-39.073716.parquet' - split: latest path: - '**/details_custom|gpqa:diamond|0_2025-03-28T15-04-39.073716.parquet' - config_name: custom_math_500_0 data_files: - split: 2025_03_28T10_51_04.001603 path: - '**/details_custom|math_500|0_2025-03-28T10-51-04.001603.parquet' - split: 2025_03_28T12_50_43.534145 path: - '**/details_custom|math_500|0_2025-03-28T12-50-43.534145.parquet' - split: 2025_03_28T14_01_21.051144 path: - '**/details_custom|math_500|0_2025-03-28T14-01-21.051144.parquet' - split: 2025_03_28T14_25_51.758403 path: - '**/details_custom|math_500|0_2025-03-28T14-25-51.758403.parquet' - split: 2025_03_28T14_39_21.338412 path: - '**/details_custom|math_500|0_2025-03-28T14-39-21.338412.parquet' - split: 2025_03_28T14_58_06.646651 path: - '**/details_custom|math_500|0_2025-03-28T14-58-06.646651.parquet' - split: latest path: - '**/details_custom|math_500|0_2025-03-28T14-58-06.646651.parquet' - config_name: lighteval_aime24_0 data_files: - split: 2025_04_10T13_35_17.256536 path: - '**/details_lighteval|aime24|0_2025-04-10T13-35-17.256536.parquet' - split: 2025_04_10T14_54_30.856264 path: - '**/details_lighteval|aime24|0_2025-04-10T14-54-30.856264.parquet' - split: latest path: - '**/details_lighteval|aime24|0_2025-04-10T14-54-30.856264.parquet' - config_name: lighteval_math_500_0 data_files: - split: 2025_04_10T13_44_24.027857 path: - '**/details_lighteval|math_500|0_2025-04-10T13-44-24.027857.parquet' - split: 2025_04_10T13_52_18.720528 path: - '**/details_lighteval|math_500|0_2025-04-10T13-52-18.720528.parquet' - split: 2025_04_10T14_12_32.328576 path: - '**/details_lighteval|math_500|0_2025-04-10T14-12-32.328576.parquet' - split: latest path: - '**/details_lighteval|math_500|0_2025-04-10T14-12-32.328576.parquet' - config_name: results data_files: - split: 2025_03_28T10_37_38.629459 path: - results_2025-03-28T10-37-38.629459.parquet - split: 2025_03_28T10_51_04.001603 path: - results_2025-03-28T10-51-04.001603.parquet - split: 2025_03_28T10_58_06.563520 path: - results_2025-03-28T10-58-06.563520.parquet - split: 2025_03_28T12_50_43.534145 path: - results_2025-03-28T12-50-43.534145.parquet - split: 2025_03_28T12_58_55.375766 path: - results_2025-03-28T12-58-55.375766.parquet - split: 2025_03_28T13_14_43.186255 path: - results_2025-03-28T13-14-43.186255.parquet - split: 2025_03_28T13_26_12.267780 path: - results_2025-03-28T13-26-12.267780.parquet - split: 2025_03_28T14_01_21.051144 path: - results_2025-03-28T14-01-21.051144.parquet - split: 2025_03_28T14_06_27.227839 path: - results_2025-03-28T14-06-27.227839.parquet - split: 2025_03_28T14_11_29.038302 path: - results_2025-03-28T14-11-29.038302.parquet - split: 2025_03_28T14_25_51.758403 path: - results_2025-03-28T14-25-51.758403.parquet - split: 2025_03_28T14_28_02.099788 path: - results_2025-03-28T14-28-02.099788.parquet - split: 2025_03_28T14_32_22.819138 path: - results_2025-03-28T14-32-22.819138.parquet - split: 2025_03_28T14_39_21.338412 path: - results_2025-03-28T14-39-21.338412.parquet - split: 2025_03_28T14_47_41.924017 path: - results_2025-03-28T14-47-41.924017.parquet - split: 2025_03_28T14_54_09.501999 path: - results_2025-03-28T14-54-09.501999.parquet - split: 2025_03_28T14_58_06.646651 path: - results_2025-03-28T14-58-06.646651.parquet - split: 2025_03_28T15_04_39.073716 path: - results_2025-03-28T15-04-39.073716.parquet - split: 2025_04_10T13_35_17.256536 path: - results_2025-04-10T13-35-17.256536.parquet - split: 2025_04_10T13_44_24.027857 path: - results_2025-04-10T13-44-24.027857.parquet - split: 2025_04_10T13_52_18.720528 path: - results_2025-04-10T13-52-18.720528.parquet - split: 2025_04_10T14_12_32.328576 path: - results_2025-04-10T14-12-32.328576.parquet - split: 2025_04_10T14_54_30.856264 path: - results_2025-04-10T14-54-30.856264.parquet - split: latest path: - results_2025-04-10T14-54-30.856264.parquet --- # Dataset Card for Evaluation run of Lansechen/Qwen2.5-7B-Open-R1-GRPO-math-lighteval Dataset automatically created during the evaluation run of model [Lansechen/Qwen2.5-7B-Open-R1-GRPO-math-lighteval](https://huggingface.co/Lansechen/Qwen2.5-7B-Open-R1-GRPO-math-lighteval). The dataset is composed of 5 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 23 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: ```python from datasets import load_dataset data = load_dataset("Lansechen/details_Lansechen__Qwen2.5-7B-Open-R1-GRPO-math-lighteval", "results", split="train") ``` ## Latest results These are the [latest results from run 2025-04-10T14:54:30.856264](https://huggingface.co/datasets/Lansechen/details_Lansechen__Qwen2.5-7B-Open-R1-GRPO-math-lighteval/blob/main/results_2025-04-10T14-54-30.856264.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": { "math_pass@1:32_samples": 0.08958333333333333, "math_pass@1:32_samples_stderr": 0.04723243353647764, "extractive_match": 0.06666666666666667, "extractive_match_stderr": 0.046320555585310084 }, "lighteval|aime24|0": { "math_pass@1:32_samples": 0.08958333333333333, "math_pass@1:32_samples_stderr": 0.04723243353647764, "extractive_match": 0.06666666666666667, "extractive_match_stderr": 0.046320555585310084 } } ``` ## Dataset Details ### Dataset Description - **Curated by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] ### Dataset Sources [optional] - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses ### Direct Use [More Information Needed] ### Out-of-Scope Use [More Information Needed] ## Dataset Structure [More Information Needed] ## Dataset Creation ### Curation Rationale [More Information Needed] ### Source Data #### Data Collection and Processing [More Information Needed] #### Who are the source data producers? 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