GlotCC: An Open Broad-Coverage CommonCrawl Corpus and Pipeline for
  Minority Languages
The need for large text corpora has increased with the advent of pretrained
language models and, in particular, the discovery of scaling laws for these
models. Most available corpora have sufficient data only for languages with
large dominant communities. However, there is no corpus available that (i)
covers a wide range of minority languages; (ii) is generated by an open-source
reproducible pipeline; and (iii) is rigorously cleaned from noise, making it
trustworthy to use. We present GlotCC, a clean, document-level, 2TB general
domain corpus derived from CommonCrawl, covering more than 1000 languages. We
make GlotCC and the system used to generate it - including the pipeline,
language identification model, and filters - available to the research
community. Corpus v. 1.0 https://huggingface.co/datasets/cis-lmu/GlotCC-v1,
Pipeline v. 3.0 https://github.com/cisnlp/GlotCC.
67248f1a708f76fcb928a405
Amir Hossein Kargaran
claimed_verified
2024-11-03T14:21:50.418Z
61bf84c8ca59d6d196a1b4e8
https://cdn-avatars.huggingface.co/v1/production/uploads/61bf84c8ca59d6d196a1b4e8/L_NvUwlMYcye9X35z6f7e.jpeg
Amir Hossein Kargaran
user
kargaranamir
67248f1a708f76fcb928a406
François Yvon
67248f1a708f76fcb928a407
Hinrich Schütze
GlotCC: An Open Broad-Coverage CommonCrawl Corpus and Pipeline for
  Minority Languages
The need for large text corpora has increased with the advent of pretrained
language models and, in particular, the discovery of scaling laws for these
models. Most available corpora have sufficient data only for languages with
large dominant communities. However, there is no corpus available that (i)
covers a wide range of minority languages; (ii) is generated by an open-source
reproducible pipeline; and (iii) is rigorously cleaned from noise, making it
trustworthy to use. We present GlotCC, a clean, document-level, 2TB general
domain corpus derived from CommonCrawl, covering more than 1000 languages. We
make GlotCC and the system used to generate it - including the pipeline,
language identification model, and filters - available to the research
community. Corpus v. 1.0 https://huggingface.co/datasets/cis-lmu/GlotCC-v1,
Pipeline v. 3.0 https://github.com/cisnlp/GlotCC.
GlotCC is a comprehensive, high-quality corpus covering over 1000 languages, derived from CommonCrawl, and includes reproducible pipelines for generation, language identification, and cleaning.
language identification model document-level corpus reproducible pipeline CommonCrawl corpus cleaning