Datasets:
Tasks:
Text Classification
Formats:
parquet
Languages:
English
Size:
10K - 100K
Tags:
process-reward-model
value-model
mathematical-reasoning
theorem-proving
monte-carlo
tree-search
License:
Stage verified TCS direction value data: solution_label
Browse filesRun ID: tcs_qwen36_27b_direction_beam_full1801_mc8_20260815
Verification SHA-256: 7ddab749f98b251aea5d3ebcdb4137fd579a6858854f756f60ea4043dd032e38
- README.md +49 -0
- dataset_provenance.json +364 -0
- train.parquet +3 -0
- validation.parquet +3 -0
- verification.json +522 -0
README.md
ADDED
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@@ -0,0 +1,49 @@
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---
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pretty_name: TCS Direction MC Value - Solution Label
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license: apache-2.0
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language:
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- en
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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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- value-model
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- mathematical-reasoning
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- theorem-proving
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- monte-carlo
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- tree-search
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- ablation
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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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# TCS Direction MC Value: Solution Label
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Partial rows include 3 same-problem endpoint solution references; reference reward labels are included. Endpoint rows use the explicit no-context sentinel.
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Each row is a two-message conversation ending in the literal assistant target `yes`. Training uses the dense `reward` column as the soft target P(correct); `correct` is only the legacy boolean projection. Hidden model reasoning is not included in endpoint state.
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## Identity
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- Source: [asingh15/tcs-qwen36-27b-direction-rollouts-partial-1017-mc8](https://huggingface.co/datasets/asingh15/tcs-qwen36-27b-direction-rollouts-partial-1017-mc8/tree/685b614552d9ba5e2f27d6aeee1ff9d6e83c9635)
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- Source revision: `685b614552d9ba5e2f27d6aeee1ff9d6e83c9635`
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- Run ID: `tcs_qwen36_27b_direction_beam_full1801_mc8_20260815`
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- Arm: `solution_label`
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- Verification file SHA-256: `7ddab749f98b251aea5d3ebcdb4137fd579a6858854f756f60ea4043dd032e38`
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| 38 |
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- Verification contract SHA-256: `329c0fc6e175e3baf139214bee239fe956ef4158a598ee50d21bbcdb21c77279`
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- Maximum observed tokens: `29650`
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- Validated token cap: `49152`
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## Splits
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| Split | Rows | Bytes | SHA-256 |
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| --- | ---: | ---: | --- |
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| train | 32,004 | 65,906,540 | `8f3d221bdebbbb861990705b6afaf855912a087d7e39ebae74ba34f59a6660a0` |
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| 47 |
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| validation | 4,608 | 9,403,527 | `ad28e83723245a3ead1f4cb87aeb4a86efec4c689f39effaea8324b170f690ee` |
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| 48 |
+
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| 49 |
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`dataset_provenance.json`, `verification.json`, and `_SUCCESS.json` pin the builder contract, source artifacts, cross-arm row alignment, and published file identities.
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dataset_provenance.json
ADDED
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@@ -0,0 +1,364 @@
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|
| 1 |
+
{
|
| 2 |
+
"arm": "solution_label",
|
| 3 |
+
"base": {
|
| 4 |
+
"builder": {
|
| 5 |
+
"path": "/storage/home/anikaitsingh/compressed_value_functions/data/build_direction_values.py",
|
| 6 |
+
"sha256": "7ab8a8e4bf520dc460093ae3f2491c8d5138fc732b1f2efb0dcb8e7aba7e8ec0"
|
| 7 |
+
},
|
| 8 |
+
"dataset_dir": "/checkpoint/scientific-reasoning/anikaitsingh/compressed_value_functions/datasets/prm/tcs_direction_partial1017_mc8_value_v1",
|
| 9 |
+
"kind": "tcs_direction_value_dataset",
|
| 10 |
+
"outputs": {
|
| 11 |
+
"train": {
|
| 12 |
+
"base_prompts_sha256": "000071798ebb9b0aee61b1294250c87fdd9f1adeb0c7122b37b5cb83fd5e6554",
|
| 13 |
+
"non_message_contract_sha256": "1f95fa82f9c16cffecd03fd1aaa5b1618e9867b3413a8dc256d84c7e7b75137c",
|
| 14 |
+
"path": "/checkpoint/scientific-reasoning/anikaitsingh/compressed_value_functions/datasets/prm/tcs_direction_partial1017_mc8_value_v1/train.parquet",
|
| 15 |
+
"row_content_sha256": "db387a4454ccfe070f81d7b4ba281c31f690cb04ce0647354df347fb1372b59b",
|
| 16 |
+
"row_keys_sha256": "88b920a1c387fbc9b1c2914d48849a2f54525a9c0fded8ff018880b14e156acd",
|
| 17 |
+
"rows": 32004,
|
| 18 |
+
"schema_sha256": "389aba22a65f47177e05c706f3328420df78a7a4b8b593088dcbef087447d4ee",
|
| 19 |
+
"sha256": "3a711ad1e80a244c9d22d00d36c5950dc2b788f6282c3628c69dcd3f4fe6b5e6"
|
| 20 |
+
},
|
| 21 |
+
"val": {
|
| 22 |
+
"base_prompts_sha256": "d9a954bf1ac69099cd27ae7cb504fdac9b9478a37a358a5d58c80d0f294337bd",
|
| 23 |
+
"non_message_contract_sha256": "dbde86fa1303fa04ae5b92e5e4eb59a14dc20fd36e68fcf6be0c5ad2f7e7e23f",
|
| 24 |
+
"path": "/checkpoint/scientific-reasoning/anikaitsingh/compressed_value_functions/datasets/prm/tcs_direction_partial1017_mc8_value_v1/val.parquet",
|
| 25 |
+
"row_content_sha256": "3a649a1906109e913664bc250a24867167dc423b61fa5826e59b0909c5305d13",
|
| 26 |
+
"row_keys_sha256": "0c10064dbfb634e84226bd01aecec15ac34964aa0527ddfdfbc829151b265847",
|
| 27 |
+
"rows": 4608,
|
| 28 |
+
"schema_sha256": "389aba22a65f47177e05c706f3328420df78a7a4b8b593088dcbef087447d4ee",
|
| 29 |
+
"sha256": "20e1f65b35da30d33d13052ac8b17c10cfc7474734bd74117575f130814f8fbc"
|
| 30 |
+
}
|
| 31 |
+
},
|
| 32 |
+
"pins": {
|
| 33 |
+
"compact_manifest_sha256": "6e0f05452d2412717e9c33c38122cd69381707b47e0d0d39f80c84572bc098c8",
|
| 34 |
+
"protocol_sha256": "67e7734ff891a2bd9770936aa208c4397aeda96ef19294374972730c9e5c13e8",
|
| 35 |
+
"run_id": "tcs_qwen36_27b_direction_beam_full1801_mc8_20260815",
|
| 36 |
+
"selection_sha256": "70ef48e044a38871bb19aafc4bca01336619805cdb37fde23fd8af8f1ec67b5f",
|
| 37 |
+
"snapshot_sha256": "768ebb0d485afa1db5c8b1ae40ab4bf262f2c6cfb89d80b96b3983d973d1002d"
|
| 38 |
+
},
|
| 39 |
+
"prompt_template": {
|
| 40 |
+
"path": "/storage/home/anikaitsingh/compressed_value_functions/configs/prompts/policy_prompt_tcs_direction_mc_value.md",
|
| 41 |
+
"sha256": "cf9118844b488caf39146a639adb8097a95770b86c07f020b57f3904f2047299"
|
| 42 |
+
},
|
| 43 |
+
"provenance": {
|
| 44 |
+
"path": "/checkpoint/scientific-reasoning/anikaitsingh/compressed_value_functions/datasets/prm/tcs_direction_partial1017_mc8_value_v1/dataset_provenance.json",
|
| 45 |
+
"sha256": "28def409cc107074b5f384b5feb9505e9c10f9172fbe2347ffd6c6d7031dc2a6"
|
| 46 |
+
},
|
| 47 |
+
"schema_version": 1
|
| 48 |
+
},
|
| 49 |
+
"builder": {
|
| 50 |
+
"path": "/storage/home/anikaitsingh/compressed_value_functions/data/build_direction_context_values.py",
|
| 51 |
+
"sha256": "0da18bc65b477ea1f5f1573d373bb925461f837d0bd1d9547f5cf792a7f6bcb5"
|
| 52 |
+
},
|
| 53 |
+
"context": {
|
| 54 |
+
"cross_problem_identity_violations": 0,
|
| 55 |
+
"cross_problem_map": {
|
| 56 |
+
"train": {
|
| 57 |
+
"count": 0,
|
| 58 |
+
"sha256": "4f53cda18c2baa0c0354bb5f9a3ecbe5ed12ab4d8e11ba873c2f11161202b945"
|
| 59 |
+
},
|
| 60 |
+
"val": {
|
| 61 |
+
"count": 0,
|
| 62 |
+
"sha256": "4f53cda18c2baa0c0354bb5f9a3ecbe5ed12ab4d8e11ba873c2f11161202b945"
|
| 63 |
+
}
|
| 64 |
+
},
|
| 65 |
+
"cross_split_violations": 0,
|
| 66 |
+
"endpoint_context": "none/sentinel_no_context",
|
| 67 |
+
"endpoint_rows_with_context": 0,
|
| 68 |
+
"labels": true,
|
| 69 |
+
"partial_rows_with_context": 32544,
|
| 70 |
+
"per_split": {
|
| 71 |
+
"train": {
|
| 72 |
+
"context_chars": {
|
| 73 |
+
"count": 28448,
|
| 74 |
+
"max": 60138,
|
| 75 |
+
"mean": 14138.726940382452,
|
| 76 |
+
"min": 6453,
|
| 77 |
+
"p50": 13576,
|
| 78 |
+
"p95": 21513
|
| 79 |
+
},
|
| 80 |
+
"context_payloads_sha256": "9ea8bd1aeda20cfd392d893347f1ef673ce63357b1646926bac764614656ea4a",
|
| 81 |
+
"cross_problem_identity_violations": 0,
|
| 82 |
+
"cross_split_violations": 0,
|
| 83 |
+
"endpoint_rows": 3556,
|
| 84 |
+
"endpoint_rows_with_context": 0,
|
| 85 |
+
"partial_rows": 28448,
|
| 86 |
+
"partial_rows_with_context": 28448,
|
| 87 |
+
"reference_edge_count": 85344,
|
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