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:
metadata
pretty_name: TCS Direction MC Value - Solution Xprob
license: apache-2.0
language:
- en
task_categories:
- text-classification
tags:
- process-reward-model
- value-model
- mathematical-reasoning
- theorem-proving
- monte-carlo
- tree-search
- ablation
configs:
- config_name: default
data_files:
- split: train
path: train.parquet
- split: validation
path: validation.parquet
TCS Direction MC Value: Solution Xprob
Partial rows include 4 cross-problem endpoint solution references; reference reward labels are omitted. Endpoint rows use the explicit no-context sentinel.
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.
Identity
- Source: asingh15/tcs-qwen36-27b-direction-rollouts-partial-1017-mc8
- Source revision:
685b614552d9ba5e2f27d6aeee1ff9d6e83c9635 - Run ID:
tcs_qwen36_27b_direction_beam_full1801_mc8_20260815 - Arm:
solution_xprob - Verification file SHA-256:
7ddab749f98b251aea5d3ebcdb4137fd579a6858854f756f60ea4043dd032e38 - Verification contract SHA-256:
329c0fc6e175e3baf139214bee239fe956ef4158a598ee50d21bbcdb21c77279 - Maximum observed tokens:
39522 - Validated token cap:
49152
Splits
| Split | Rows | Bytes | SHA-256 |
|---|---|---|---|
| train | 32,004 | 70,519,652 | 2b53090486bf6c17cdca47de21bb244e8a50154fbccd89acf880d1ef178d46ae |
| validation | 4,608 | 10,041,872 | ddb3c6d7a1d980997ad678f90965631aa4b2a83cd71f7434d7b11b3bf47b1731 |
dataset_provenance.json, verification.json, and _SUCCESS.json pin the builder contract, source artifacts, cross-arm row alignment, and published file identities.