facebook/principia-collection
Principia Collection Principia Collection is a large-scale dataset designed to enhance language models’ ability to derive mathematical objects from STEM-related problem statements. Each instance contains a problem statement, a ground truth answer, an answer type, and a topic label. The topics are drawn from Physics Subject Headings (PhySH) and Mathematical Subject Classification (MSC 2020). Both problem statements and ground truth labels were generated using our synthetic data… See the full description on the dataset page: https://huggingface.co/datasets/facebook/principia-collection.
| Author / organization | |
|---|---|
| License (as declared) | cc-by-nc-sa-4.0 |
| Downloads | 224 (as reported by Hugging Face) |
| Likes | 48 |
| Created | 4 November 2025 |
| Last updated at source | 19 December 2025 |
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224 now (-6 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
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