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Table · dataset · 2023

open-web-math/open-web-math

Listed in Hugging Face Datasets

Keiran Paster*, Marco Dos Santos*, Zhangir Azerbayev, Jimmy Ba GitHub | ArXiv | PDF OpenWebMath is a dataset containing the majority of the high-quality, mathematical text from the internet.

Description

It is filtered and extracted from over 200B HTML files on Common Crawl down to a set of 6.3 million documents containing a total of 14.7B tokens. OpenWebMath is intended for use in pretraining and finetuninglarge language models.

You can download the dataset using Hugging Face: from datasets import… See the full description on the dataset page: huggingface.co/datasets/open-web-math/open-web-math.

Links

Where it is published

Documentation and papers

Catalogue records · 1

Topics

Stated by source
text
Inferred from text
Text 75%
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsopen-web-math/open-web-math12 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
concepts[modality].local:modality:textenrichment · Hugging Facekeyword-concept-rules@1.0.0title+description (75%)
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0