README.md

---
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](https://huggingface.co/datasets/asingh15/tcs-qwen36-27b-direction-rollouts-partial-1017-mc8/tree/685b614552d9ba5e2f27d6aeee1ff9d6e83c9635)
- 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.