Datasets:
Multilinguality:
multilingual
Language Creators:
found
Annotations Creators:
no-annotation
Source Datasets:
original
ArXiv:
License:
Added docs for the `noblocklist` data.
Browse files
README.md
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@@ -6,8 +6,11 @@ For reference, these are the sizes of the variants:
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- `en`: 300GB
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- `en.noclean`: 2.3TB
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- `realnewslike`: 15GB
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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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- `en`: 300GB
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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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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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