trl-lib/math_shepherd
Math-Shepherd Dataset Summary The Math-Shepherd dataset is a processed version of Math-Shepherd dataset, designed to train models using the TRL library for stepwise supervision tasks. It provides step-by-step solutions to mathematical problems, enabling models to learn and verify each step of a solution, thereby enhancing their reasoning capabilities. Data Structure Format: Standard Type: Stepwise supervision Columns: "pompt": The problem statement.… See the full description on the dataset page: https://huggingface.co/datasets/trl-lib/math_shepherd.
| Author / organization | trl-lib |
|---|---|
| Downloads | 2.6K (as reported by Hugging Face) |
| Likes | 12 |
| Created | 28 November 2024 |
| Last updated at source | 8 January 2025 |
More from trl-lib
- trl-lib/documentation-imagesDataset
- trl-lib/trackio-datasetDataset
- trl-lib/CapybaraDataset
- trl-lib/ultrafeedback_binarizedDataset
- trl-lib/tldrDataset
- trl-lib/DeepMath-103KDataset
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.