TheorIA – An Open Curated Physics Dataset (Equations,Explanations,JSON)
We’re building TheorIA— an open, high quality dataset of theoretical physics results: equations, derivations, definitions, and explanations — all in structured, machine- and human-readable JSON. Why? Physics is rich with beautiful, formal results — but most of them are trapped in PDFs, LaTeX, or lecture notes. That makes it hard to: - train symbolic/physics-aware ML models, - build derivation-checking tools, - or even just teach physics interactively. THEORIA fills that gap. Each entry includes: A result name (e.g., Lorentz transformations) Clean equations (AsciiMath) Straightforward…
TheorIA – An Open Curated Physics Dataset (Equations,Explanations,JSON) launched on May 11, 2025 with 9 votes, #2,448 of 7,905 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 1 year on.
What it does
A comprehensive, structured dataset of theoretical physics derivations. Aspiring to be complete, exact, and open-source for the global physics community. If you want to contribute to an open source project at the intersection of physics and AI, this is your place! There is a lack of structured physiscs datasets that systematically captures all physics results. TheorIA aims to serve both as a useful reference for researchers and as training data for next-generation AI models and LLMs in physics. Current Status: We have many entries generated by AI that require expert curation and validation to meet our quality standards. We are also working on having a better structure for the dataset. We…from theoria-dataset.github.io
In the maker’s words, at launch
We’re building TheorIA— an open, high quality dataset of theoretical physics results: equations, derivations, definitions, and explanations — all in structured, machine- and human-readable JSON. Why? Physics is rich with beautiful, formal results — but most of them are trapped in PDFs, LaTeX, or lecture notes. That…
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