Datasets:
Stage verified FineProofs v2 context data: solution
Browse filesRun ID: fineproofs_all_qwen35_9b_direct2phase_m32_20260730
Nine-arm verification SHA-256: 27a48c97c56141ee7cc668d543031a38e65c80d00fbdb5f79a07e9da017b66d2
- README.md +44 -0
- dataset_provenance.json +1298 -0
- train.parquet +3 -0
- validation.parquet +3 -0
- verification.json +1056 -0
README.md
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---
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pretty_name: FineProofs PRM Context v2 - Solution
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task_categories:
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- text-classification
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tags:
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- process-reward-model
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- theorem-proving
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- fineproofs
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configs:
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- config_name: default
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data_files:
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- split: train
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path: train.parquet
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- split: validation
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path: validation.parquet
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---
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# FineProofs PRM Context v2: Solution
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This arm uses `solution` context from `same_problem` rollouts with packing policy `whole_solutions_no_truncation`.
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This is one of nine row-matched context variants built from the verified FineProofs rollout collection. Targets estimate eventual branch-rollout correctness for a partial proof prefix. Hard terminal rows use the separately graded correctness of every collected base rollout.
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## Contract
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- Run ID: `fineproofs_all_qwen35_9b_direct2phase_m32_20260730`
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- Collection model: `Qwen/Qwen3.5-9B`
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- Collection model revision: `c202236235762e1c871ad0ccb60c8ee5ba337b9a`
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- Context arm: `solution`
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- Context mode: `solution`
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- Context scope: `same_problem`
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- Correctness labels in context: `no`
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- Verification SHA-256: `27a48c97c56141ee7cc668d543031a38e65c80d00fbdb5f79a07e9da017b66d2`
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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.
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## Splits
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| Split | Rows | Problems |
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| --- | ---: | ---: |
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| train | 68,310 | 5,092 |
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| validation | 2,287 | 128 |
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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.
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dataset_provenance.json
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{
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| 2 |
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| 18 |
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| 47 |
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| 50 |
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| 73 |
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| 74 |
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| 76 |
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| 86 |
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|
| 1 |
+
{
|
| 2 |
+
"arms": {
|
| 3 |
+
"cot_pbudget": {
|
| 4 |
+
"directory": "/checkpoint/scientific-reasoning/anikaitsingh/compressed_value_functions/datasets/prm/prm_sft_fineproofs_mc_ctx_cot_pbudget_fineproofs_all_qwen35_9b_direct2phase_m32_20260730_trajectory_v2",
|
| 5 |
+
"provenance_sha256": "11a30daacc0cbe94f16913b8764f58109f4bba6350dc5a5859e2f118a0055884",
|
| 6 |
+
"splits": {
|
| 7 |
+
"train": {
|
| 8 |
+
"partial_rows_with_context": 25778,
|
| 9 |
+
"problem_ids_sha256": "391a0b3e31283675cddba7d51dfd6db783dae0dfd6c74b3cacef791274008716",
|
| 10 |
+
"problems": 5092,
|
| 11 |
+
"row_contract_sha256": "ed16304b7972b2cec488c355ffa28b02ec7cabb7e25571c5bd1a48c043a7fae5",
|
| 12 |
+
"row_keys_sha256": "fd9d70c2f5885c02ab932b560705a320a17ffedab8751ba0cc9e786985dd3891",
|
| 13 |
+
"rows": 68310
|
| 14 |
+
},
|
| 15 |
+
"val": {
|
| 16 |
+
"partial_rows_with_context": 1156,
|
| 17 |
+
"problem_ids_sha256": "5886df0d77fedeb7d1b333b85e558fc4ff40cc0a6333a19fd21d1e7f417d8f22",
|
| 18 |
+
"problems": 128,
|
| 19 |
+
"row_contract_sha256": "fa5010faf0185a5f40805964cf7ece20b12be1acd1c7cf318c13cb955a913fc6",
|
| 20 |
+
"row_keys_sha256": "aac32e6321ba597932a30eb4289b4631f11db781e506bcf43016acfe6907e37c",
|
| 21 |
+
"rows": 2287
|
| 22 |
+
}
|
| 23 |
+
}
|
| 24 |
+
},
|
| 25 |
+
"cot_pbudget_xprob": {
|
| 26 |
+
"directory": "/checkpoint/scientific-reasoning/anikaitsingh/compressed_value_functions/datasets/prm/prm_sft_fineproofs_mc_ctx_cot_pbudget_xprob_fineproofs_all_qwen35_9b_direct2phase_m32_20260730_trajectory_v2",
|
| 27 |
+
"provenance_sha256": "10ec6f904d4036478b6c55b6cdaa0b55dbdca416919a3360ec5f18982c025373",
|
| 28 |
+
"splits": {
|
| 29 |
+
"train": {
|
| 30 |
+
"partial_rows_with_context": 25605,
|
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