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This is the processed version of [Google's C4 dataset](https://www.tensorflow.org/datasets/catalog/c4). |
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We prepared five variants of the data: `en`, `en.noclean`, `en.noblocklist`, `realnewslike`, and `multilingual`. |
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For reference, these are the sizes of the variants: |
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- `en`: 305GB |
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- `en.noclean`: 2.3TB |
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- `en.noblocklist`: 380GB |
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- `realnewslike`: 15GB |
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- `multilingual`: 9.7TB |
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The `en.noblocklist` variant is exactly the same as the `en` variant, except we turned off the so-called "badwords filter", which removes all documents that contain words from the lists at https://github.com/LDNOOBW/List-of-Dirty-Naughty-Obscene-and-Otherwise-Bad-Words. |
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# How do I download this? |
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Unfortunately we ran out of time making this into a proper Huggingface dataset, accessible through the `datasets` Python package. Until we get that ready, please use git to do the download. First, make sure you have [Git Large File Storage](https://git-lfs.github.com) installed. Once that is done, downloading the whole dataset, all three variants, is easy: |
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```bash |
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git clone https://huggingface.co./datasets/allenai/c4 |
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``` |
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This will download 13TB to your local drive. If you want to be more precise with what you are downloading, follow these commands instead: |
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```bash |
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GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co./datasets/allenai/c4 |
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cd c4 |
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git lfs pull --include "en/*" |
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``` |
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The `git clone` command in this variant will download a bunch of stub files that Git LFS uses, so you can see all the filenames that exist that way. You can then convert the stubs into their real files with `git lfs pull --include "..."`. For example, if you wanted all the Dutch documents from the multilingual set, you would run |
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```bash |
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git lfs pull --include "multilingual/c4-nl.*.json.gz" |
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``` |
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# Acknowledgements |
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Big ups to the good folks at [Common Crawl](https://commoncrawl.org) whose data made this possible ([consider donating](http://commoncrawl.org/donate/)!), to Google for creating the code that curates and filters the data, and to Huggingface, who had no issue with hosting these 3TB of data for public download! |
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### License |
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We are releasing this dataset under the terms of [ODC-BY](https://opendatacommons.org/licenses/by/1-0/). By using this, you are also bound by the [Common Crawl terms of use](https://commoncrawl.org/terms-of-use/) in respect of the content contained in the dataset. |
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