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README.md
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---
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| 1 |
---
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+
pretty_name: Filtered-mC4
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annotations_creators:
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- no-annotation
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language_creators:
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- found
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language:
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- af
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- am
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- ar
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- az
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- be
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- bg
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- bn
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- ca
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- ceb
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- co
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- cs
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- cy
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- da
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- de
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- el
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- en
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- eo
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- es
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- et
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- eu
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- fa
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- fi
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- fil
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- fr
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- fy
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- ga
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- gd
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- gl
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- gu
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- ha
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- haw
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- he
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- hi
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- hmn
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- ht
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- hu
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- hy
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- id
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- ig
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- is
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- it
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- iw
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- ja
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- jv
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- ka
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- kk
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- km
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- kn
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- ko
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- ku
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- ky
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- la
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- lb
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- lo
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- lt
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- lv
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- mg
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- mi
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- mk
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- ml
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- mn
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- mr
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- ms
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- mt
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- my
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- ne
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- nl
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- 'no'
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- ny
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- pa
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- pl
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- ps
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- pt
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- ro
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- ru
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- sd
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- si
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- sk
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- sl
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- sm
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- sn
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- so
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- sq
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- sr
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- st
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- su
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- sv
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- sw
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- ta
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- te
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- tg
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- th
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- tr
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- uk
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- und
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- ur
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- uz
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- vi
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- xh
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- yi
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- yo
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- zh
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- zu
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language_bcp47:
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- bg-Latn
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- el-Latn
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- hi-Latn
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- ja-Latn
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- ru-Latn
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- zh-Latn
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license:
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- odc-by
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multilinguality:
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- multilingual
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size_categories:
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- n<1K
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- 1K<n<10K
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- 10K<n<100K
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- 100K<n<1M
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- 1M<n<10M
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- 10M<n<100M
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- 100M<n<1B
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- 1B<n<10B
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source_datasets:
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- original
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task_categories:
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- text-generation
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- fill-mask
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task_ids:
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- language-modeling
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- masked-language-modeling
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paperswithcode_id: mc4
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---
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# Dataset Card for Filtered-mC4
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See original [mC4 dataset](https://huggingface.co/datasets/mc4) descriptions.
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You can apply any regular expression to the mC4 dataset like this:
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```python
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from datasets import load_dataset
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dataset = load_dataset('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)
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```
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### Citation Information
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```
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@article{2019t5,
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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},
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title = {Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer},
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journal = {arXiv e-prints},
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year = {2019},
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archivePrefix = {arXiv},
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eprint = {1910.10683},
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}
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```
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