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| license: mit | |
| task_categories: [text-generation] | |
| language: [en] | |
| tags: [rl, confidence-estimation, calibration, math, numina, aime] | |
| size_categories: [1K<n<10K] | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: test | |
| path: data/test-*.parquet | |
| # rl-value-eval-math | |
| **Math-domain** evaluation set (~5.1K) for confidence / correctness estimation. Pairs with | |
| [`YangyiYY/rl-value-confidence-train-math`](https://huggingface.co/datasets/YangyiYY/rl-value-confidence-train-math) | |
| (confidence-train) and a 50K RL-training split (disjoint). | |
| Bulk of the set is sampled ~uniformly across the 6 **numina** sub-sources (from | |
| [PRIME-RL/Eurus-2-RL-Data](https://huggingface.co/datasets/PRIME-RL/Eurus-2-RL-Data)), | |
| deduplicated by problem text and disjoint from the RL-train / confidence-train splits. It also | |
| includes two held-out competition sets: | |
| - **AIME 2024** (30 problems, [math-ai/aime24](https://huggingface.co/datasets/math-ai/aime24)) | |
| - **AIME 2025** (30 problems, [math-ai/aime25](https://huggingface.co/datasets/math-ai/aime25)) | |
| ## Composition (`sub_source`, 5058 rows) | |
| | sub_source | n | source | | |
| |---|---|---| | |
| | synthetic_math / cn_k12 / olympiads / synthetic_amc | 965 each | numina | | |
| | aops_forum | 949 | numina | | |
| | amc_aime | 189 | numina | | |
| | **aime24** | 30 | math-ai/aime24 | | |
| | **aime25** | 30 | math-ai/aime25 | | |
| ## Schema (our recipe) | |
| `data_source="math_box"` for all rows (routes to the shared math grader) · `prompt=[{system: "Please | |
| reason step by step, and put your final answer within \boxed{}."}, {user: <problem>}]` · | |
| `ability="math"` · `reward_model.ground_truth` (numina answer / AIME integer) · `sub_source` | |
| (numina origin or `aime24`/`aime25`) · `extra_info` (id, sub_source, split). | |