metadata

dataset_info:
  features:
    - name: content
      dtype: string
  splits:
    - name: train
      num_bytes: 17882150544
      num_examples: 12328228
  download_size: 12940914691
  dataset_size: 17882150544

CC-100 zh-Hant (Traditional Chinese)

From https://data.statmt.org/cc-100/, only zh-Hant - Chinese (Traditional). Broken into paragraphs, with each paragraphs as a row.

Estimated to have around 4B tokens when tokenized with the bigscience/bloom tokenizer.

There's another version that the text is split by lines instead of paragraphs: zetavg/CC-100-zh-Hant.

References

Please cite the following if you found the resources in the CC-100 corpus useful.

Unsupervised Cross-lingual Representation Learning at Scale, Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, Veselin Stoyanov, Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL), p. 8440-8451, July 2020, pdf, bib .
CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data, Guillaume Wenzek, Marie-Anne Lachaux, Alexis Conneau, Vishrav Chaudhary, Francisco Guzmán, Armand Joulin, Edouard Grave, Proceedings of the 12th Language Resources and Evaluation Conference (LREC), p. 4003-4012, May 2020, pdf, bib.