principia-collection
- Type
- dataset
- Venue
- Year
- 2026
- Source
- huggingface
- Access
- free
- Language
- en
- Added
- 2026-07-17T19:59:09.498900+00:00
- Verified
- 2026-07-17T19:59:09.498900+00:00
Summary
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)*](https://physh.org/) and [*Mathematical Subject Classification (MSC 2020)*](https://zbmath.org/static/msc2020.pdf).
Keywords
hf-dataset reasoning · -math parquet text datasets pandas polars mlcroissant reasoning math hard
Topics
Reasoning, Math
Research notes
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