| --- |
| license: mit |
| task_categories: |
| - text-generation |
| language: |
| - en |
| tags: |
| - math |
| - reasoning |
| - reinforcement-learning |
| - verl |
| - deepscaler |
| - grpo |
| size_categories: |
| - n<1K |
| --- |
| |
| # DeepScaleR-Preview-Curated |
|
|
| **DeepScaleR-Preview-Curated** is a curated revision of the |
| [agentica-org/DeepScaleR-Preview-Dataset](https://huggingface.co/datasets/agentica-org/DeepScaleR-Preview-Dataset) |
| snapshot used for our Verl (GRPO) math-RL runs. |
|
|
| The published snapshot (`226` entries, `220` unique problems) was |
| reconciled against the maintainer's revision sheet for the next release: retracted problems were dropped, duplicate |
| uploads were collapsed onto their first occurrence, corrected answers were taken as the authoritative ground truth, and |
| the maintainer's new problems were appended. The result is `223` training rows. |
|
|
| ## Reconciliation statistics |
|
|
| published_entries: 226 |
| published_unique: 220 |
| final_rows: 223 |
| answer_corrected: 11 |
| no_change_corrections: 3 |
| orphan_corrections: 2 |
| retracted: 5 |
| duplicate_removed: 6 |
| added: 8 |
|
|
| ## How the reconciliation was applied |
|
|
| - **Retractions** (`retracted`) are dropped entirely. |
| - **Duplicate uploads** (`duplicate_removed`) keep only the first occurrence in published file order, together with that |
| first occurrence's solution text; the later copies' write-ups are discarded. |
| - **Answer corrections** (`answer_corrected`) replace the published answer with the maintainer's answer as ground truth. |
| The solution text still comes from the published snapshot, since the revision sheet does not ship solutions. |
| - **No-op corrections** (`no_change_corrections`) supply an answer that already matches the published answer, so nothing |
| is changed and they are counted here only. |
| - **Orphan corrections** (`orphan_corrections`) point at problems that do not exist in the published snapshot; no row is |
| fabricated for them, they are only flagged in the report. |
| - **Additions** (`added`) are appended at the end in the maintainer's file order. |
|
|
| Final row order is the published order after the removals above, followed by the additions, with a fresh 0-based `index` |
| over that order. |
|
|
| ## Files |
|
|
| - `reconciliation_report.json` — the changelog: the `summary` block above plus one entry per affected problem in |
| `conflicts` (`answer_corrected`, `orphan_correction`, `retracted`, `duplicate_removed`, `added`), sorted by `problem` |
| then `type`. |
| - `verl_deepscaler_v2.parquet` — the training file in Verl row format. **Not hosted here**: it stays on the training |
| machine and goes straight into the Verl training run. |
|
|
| ## Verl row format |
|
|
| Each row carries `data_source`, `prompt` (a single `user` message holding the problem text), `ability`, `reward_model` |
| (`style: rule`, `ground_truth: <answer after reconciliation>`), and `extra_info` (`index`, `solution`). |
|
|
| ## Intended use |
|
|
| Reward-model-style rule verification for GRPO/PPO math reasoning training with |
| [Verl](https://github.com/volcengine/verl) — the same setup used to reproduce DeepSeek-R1's "aha moment" on a small |
| model. |
|
|
| ## Source |
|
|
| Derived from [agentica-org/DeepScaleR-Preview-Dataset](https://huggingface.co/datasets/agentica-org/DeepScaleR-Preview-Dataset) |
| (approximately 40,000 AIME/AMC/Omni-MATH/STILL problem-answer pairs), which is distributed under the MIT license. |
|
|
