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metadata
pretty_name: Filtered-mC4
annotations_creators:
  - no-annotation
language_creators:
  - found
language:
  - af
  - am
  - ar
  - az
  - be
  - bg
  - bn
  - ca
  - ceb
  - co
  - cs
  - cy
  - da
  - de
  - el
  - en
  - eo
  - es
  - et
  - eu
  - fa
  - fi
  - fil
  - fr
  - fy
  - ga
  - gd
  - gl
  - gu
  - ha
  - haw
  - he
  - hi
  - hmn
  - ht
  - hu
  - hy
  - id
  - ig
  - is
  - it
  - iw
  - ja
  - jv
  - ka
  - kk
  - km
  - kn
  - ko
  - ku
  - ky
  - la
  - lb
  - lo
  - lt
  - lv
  - mg
  - mi
  - mk
  - ml
  - mn
  - mr
  - ms
  - mt
  - my
  - ne
  - nl
  - 'no'
  - ny
  - pa
  - pl
  - ps
  - pt
  - ro
  - ru
  - sd
  - si
  - sk
  - sl
  - sm
  - sn
  - so
  - sq
  - sr
  - st
  - su
  - sv
  - sw
  - ta
  - te
  - tg
  - th
  - tr
  - uk
  - und
  - ur
  - uz
  - vi
  - xh
  - yi
  - yo
  - zh
  - zu
language_bcp47:
  - bg-Latn
  - el-Latn
  - hi-Latn
  - ja-Latn
  - ru-Latn
  - zh-Latn
license:
  - odc-by
multilinguality:
  - multilingual
size_categories:
  - n<1K
  - 1K<n<10K
  - 10K<n<100K
  - 100K<n<1M
  - 1M<n<10M
  - 10M<n<100M
  - 100M<n<1B
  - 1B<n<10B
source_datasets:
  - original
task_categories:
  - text-generation
  - fill-mask
task_ids:
  - language-modeling
  - masked-language-modeling
paperswithcode_id: mc4

Dataset Card for Filtered-mC4

See original mC4 dataset descriptions.

You can apply any regular expression to the mC4 dataset like this:

from datasets import load_dataset

dataset = load_dataset('hiroshi-matsuda-rit/filtered_mc4', 'ja', split='train', reject_patterns=[r"(セフレ|出会い?系|(?<!ユニ)セックス|ソープガイド)", r"[^\s]\ [^\s]+\ [^\s]"], max_reject_pattern_occurence=3, streaming=True)

Citation Information

@article{2019t5,
    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},
    title = {Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer},
    journal = {arXiv e-prints},
    year = {2019},
    archivePrefix = {arXiv},
    eprint = {1910.10683},
}