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README.md

@@ -2,8 +2,8 @@
 license: mit
 task_categories: [text-generation]
 language: [en]
-tags: [rl, confidence-estimation, calibration, math, numina]
-size_categories: [1K<n<100K]
+tags: [rl, confidence-estimation, calibration, math, numina, aime]
+size_categories: [1K<n<10K]
 configs:
 - config_name: default
   data_files:
@@ -13,17 +13,29 @@ configs:
 
 # 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).
+**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).
 
-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).
+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"` · `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).
+`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).