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README.md

@@ -1,42 +1,54 @@
 ---
-dataset_info:
-  features:
-  - name: data_source
-    dtype: string
-  - name: prompt
-    list:
-    - name: content
-      dtype: string
-    - name: role
-      dtype: string
-  - name: ability
-    dtype: string
-  - name: reward_model
-    struct:
-    - name: ground_truth
-      dtype: string
-    - name: style
-      dtype: string
-  - name: extra_info
-    struct:
-    - name: id
-      dtype: string
-    - name: rating
-      dtype: int64
-  splits:
-  - name: validation
-    num_bytes: 48654421
-    num_examples: 387
-  - name: test
-    num_bytes: 163173604
-    num_examples: 387
-  download_size: 126905984
-  dataset_size: 211828025
+license: mit
+task_categories:
+- text-generation
+language:
+- en
+tags:
+- rl
+- confidence-estimation
+- calibration
+- math
+- code
+size_categories:
+- n<1K
 configs:
 - config_name: default
   data_files:
-  - split: validation
-    path: data/validation-*
   - split: test
-    path: data/test-*
+    path: data/test-*.parquet
 ---
+
+# rl-value-eval
+
+Held-out **evaluation set** (774 prompts) for the Block-3 confidence / correctness-estimation
+comparison. Pairs with [`YangyiYY/rl-value-confidence-train`](https://huggingface.co/datasets/YangyiYY/rl-value-confidence-train)
+(training) and the nct-ppo actor/critic models. Each row is in the verl RL schema so the shared
+grader scores it directly.
+
+**Single `test` split** (the former `validation`+`test` splits are merged into one).
+
+## Composition & subset annotation
+
+Every row carries a fine-grained subset label in both `extra_info.sub_source` and a top-level
+`sub_source` column:
+
+| data_source | n | `sub_source` = |
+|---|---|---|
+| `taco` | 300 | TACO difficulty — EASY / MEDIUM / MEDIUM_HARD / HARD / VERY_HARD |
+| `codeforces` | 300 | `rating_1300`, `rating_1400` |
+| `math_box` (numina) | 98 | NuminaMath origin — cn_k12 / synthetic_math / orca_math / olympiads / gsm8k / synthetic_amc / aops_forum / amc_aime / math |
+| `codecontests` | 76 | `rating_800` … `rating_1200` |
+
+## Grader / ground_truth
+
+`reward_model.ground_truth` is built for the **shared reference grader** (`reference/` in the
+project repo): math → `{"answer": …}`; code → `input_output` JSON with the **full** hidden test
+suites (CodeContests public+**private**+**generated**, Codeforces full suite, TACO raw
+`input_output` incl. call-based `fn_name`), **no per-problem test-case cap**. Correctness =
+last `\boxed{}` match (math) or all stdio/functional cases pass (code, 6s/case · 60s/problem).
+
+## Schema
+
+`data_source` · `prompt` (chat messages) · `ability` · `reward_model.ground_truth` · `sub_source` ·
+`extra_info` (`id`, `rating`, `sub_source`).