declare-lab/PathFinder-600K
PathFinder-600K This dataset provides step-level training labels for approximately 600K reasoning traces, of which 400K were used in training the PathFinder-PRM-7B model. It is constructed by augmenting two existing datasets—PRM800K and RLHFlow Mistral—with fine-grained, three-dimensional annotations for each reasoning step: Whether the step is mathematically correct, Whether it is logically consistent, and Whether it ultimately leads to a correct final solution. The dataset… See the full description on the dataset page: https://huggingface.co/datasets/declare-lab/PathFinder-600K.
| Author / organization | declare-lab |
|---|---|
| License (as declared) | mit |
| Downloads | 393 (as reported by Hugging Face) |
| Likes | 6 |
| Created | 26 May 2025 |
| Last updated at source | 28 May 2025 |
Recent changes
- 16 Oct 2026 Description: PathFinder-600K This dataset provides step-level training labels for approximately 600K reasoning traces, of which 400K were used in training the PathFinder-PRM-7B model. It is constructed by augmenting two existing datasets—PRM800K and RLH → PathFinder-600K This dataset provides step-level training labels for approximately 600K reasoning traces, of which 400K were used in training the PathFinder-PRM-7B model. It is constructed by augmenting two existing datasets—PRM800K and RLH
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