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Table · dataset · 2025

principia-collection

Listed in Hugging Face Datasets

Principia Collection Principia Collection is a large-scale dataset designed to enhance language models’ ability to derive mathematical objects from STEM-related problem statements.

Description

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: huggingface.co/datasets/facebook/principia-collection.

Links

Catalogue records · 1

Topics

Stated by source
text
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsfacebook/principia-collection15 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:textsource · Hugging Faceconnector:huggingface@1.0.0
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
licensesource · Hugging Faceconnector:huggingface@1.0.0/tags[license:*]
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0