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README.md

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+---
+license: mit
+task_categories: [text-generation]
+language: [en]
+tags: [rl, confidence-estimation, calibration, math, numina]
+size_categories: [1K<n<100K]
+configs:
+- config_name: default
+  data_files:
+  - split: test
+    path: data/test-*.parquet
+---
+
+# rl-value-eval-math
+
+**Math-domain** evaluation set (~5K) for confidence / correctness estimation, sampled from the
+**numina** portion of [PRIME-RL/Eurus-2-RL-Data](https://huggingface.co/datasets/PRIME-RL/Eurus-2-RL-Data).
+Pairs with [`YangyiYY/rl-value-eval-math`](https://huggingface.co/datasets/YangyiYY/rl-value-eval-math)
+(confidence-train) and a 50K RL-training split from the same pool (disjoint).
+
+Sampled **~uniformly across the 6 numina sub-sources** (cn_k12, synthetic_math, olympiads,
+synthetic_amc, aops_forum, amc_aime), **deduplicated by problem text**, and **disjoint** from the
+RL-train and eval splits (0 problem-text overlap).
+
+## Schema (our recipe)
+`data_source="math_box"` · `prompt=[{system: "Please reason step by step, and put your final answer
+within \boxed{}."}, {user: <problem>}]` · `ability="math"` · `reward_model.ground_truth` (numina
+answer) · `sub_source` (numina origin: cn_k12/synthetic_math/olympiads/synthetic_amc/aops_forum/amc_aime)
+· `extra_info` (id, sub_source, split).