GlotCC: An Open Broad-Coverage CommonCrawl Corpus and Pipeline for
  Minority Languages
Authors: name: Amir Hossein Kargaran, name: François Yvon, name: Hinrich Schütze
Organization: CIS, LMU Munich

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.