| --- |
| pretty_name: FineProofs PRM Context v2 - Solution |
| task_categories: |
| - text-classification |
| tags: |
| - process-reward-model |
| - theorem-proving |
| - fineproofs |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: train.parquet |
| - split: validation |
| path: validation.parquet |
| --- |
| |
| # FineProofs PRM Context v2: Solution |
|
|
| This arm uses `solution` context from `same_problem` rollouts with packing policy `whole_solutions_no_truncation`. |
|
|
| This is one of nine row-matched context variants built from the verified FineProofs rollout collection. Partial-prefix and complete-response targets both use canonical normalized rubric credit derived from clamped points divided by max points. The `correct` column is only a legacy boolean projection at reward >= 0.5; training uses the dense `reward` target. |
|
|
| ## Contract |
|
|
| - Run ID: `fineproofs_all_qwen35_9b_direct2phase_m32_20260730` |
| - Collection model: `Qwen/Qwen3.5-9B` |
| - Collection model revision: `c202236235762e1c871ad0ccb60c8ee5ba337b9a` |
| - Context arm: `solution` |
| - Context mode: `solution` |
| - Context scope: `same_problem` |
| - Correctness labels in context: `no` |
| - Verification SHA-256: `c5a3b92bd6196d4a33cded2c1a01870d1963d323351d573b369b7f97f3b7f648` |
|
|
| The nine arms have identical row keys, labels, rewards, train/validation problem split, and hard endpoint coverage. Held-out problems are removed before splitting and context selection. |
|
|
| ## Splits |
|
|
| | Split | Rows | Problems | |
| | --- | ---: | ---: | |
| | train | 53,457 | 2,542 | |
| | validation | 2,602 | 128 | |
|
|
| The local `val.parquet` is published as `validation.parquet`. `dataset_provenance.json`, `verification.json`, and `_SUCCESS.json` contain the live-input provenance, cross-arm checks, and exact published file fingerprints. |
|
|
