--- annotations_creators: - no-annotation language: - en language_creators: - found license: [] multilinguality: - monolingual pretty_name: proof-pile size_categories: [] source_datasets: [] tags: - math - mathematics - formal-mathematics task_categories: - text-generation task_ids: - language-modeling --- Note: this repo is a WIP and does not yet implement all features described below. It is certainly not ready to be used to train a model. # Dataset Card for Proof-pile # Dataset Description The `proof-pile` is a 45GB pre-training dataset of mathematical text. The dataset is composed of diverse sources of both informal and formal mathematics, namely - ArXiv.math (40GB) - Open-source math textbooks (50MB) - Formal mathematics libraries (500MB) - Lean mathlib and other Lean repositories - Isabelle AFP - Coq mathematical components and other Coq repositories - HOL Light - set.mm - Mizar Mathematical Library - Math Overflow and Math Stack Exchange (500MB) - Wiki-style sources (50MB) - ProofWiki - Wikipedia math articles - MATH dataset (6MB) # Supported Tasks This dataset is intended to be used for pre-training language models. We envision models pre-trained on the `proof-pile` will have many downstream applications, including informal quantitative reasoning, formal theorem proving, semantic search for formal mathematics, and autoformalization. # Languages All informal mathematics in the `proof-pile` is written in English and LaTeX (arXiv articles in other languages are filtered out using [languagedetect](https://github.com/shuyo/language-detection/blob/wiki/ProjectHome.md)). Formal theorem proving languages represented in this dataset are Lean 3, Isabelle, Coq, HOL Light, Metamath, and Mizar. # Splits The data is sorted into `"arxiv", "books", "formal", "stack-exchange", "wiki",` and `"math-dataset"` configurations. This is so that it is easy to upsample particular configurations during pre-training with the `datasets.interleave_datasets()` function. Note that in the `"stack-exchange"`, `"wiki"`, and `"stack-exchange"` configurations, multiple documents are included in them same instance separated by the string `"<|endoftext|>"`. # Contributions: Authors: Zhangir Azerbayev, Edward Ayers, Bartosz Piotrowski. We would like to thank Jeremy Avigad for his invaluable perspective and guidance, and the Hoskinson Center for Formal Mathematics for its support.