README.md

Colossal Clean Crawled Corpus(C4)

Paper

Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

A colossal, cleaned version of Common Crawl's web crawl corpus. Based on Common Crawl dataset.

This is the processed version of Google's C4 dataset.

Homepage

Citation

@misc{raffel2023exploringlimitstransferlearning,
      title={Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer},
      author={Colin Raffel and Noam Shazeer and Adam Roberts and Katherine Lee and Sharan Narang and Michael Matena and Yanqi Zhou and Wei Li and Peter J. Liu},
      year={2023},
      eprint={1910.10683},
      archivePrefix={arXiv},
      primaryClass={cs.LG},
      url={https://arxiv.org/abs/1910.10683},
}

Groups, Tags, and Tasks

Groups

• Not part of a group yet.

Tasks

• c4: measure perplexity on the C4 dataset, via rolling loglikelihoods.

Checklist

For adding novel benchmarks/datasets to the library:

• Is the task an existing benchmark in the literature?
  • Have you referenced the original paper that introduced the task?
  • If yes, does the original paper provide a reference implementation? If so, have you checked against the reference implementation and documented how to run such a test?

If other tasks on this dataset are already supported:

• Is the "Main" variant of this task clearly denoted?
• Have you provided a short sentence in a README on what each new variant adds / evaluates?
• Have you noted which, if any, published evaluation setups are matched by this variant?

Changelog