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dirkgr commited on
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Update readme to temporarily point to the 3.1.0 branch

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  1. README.md +17 -14
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@@ -4,40 +4,43 @@ We prepared five variants of the data: `en`, `en.noclean`, `en.noblocklist`, `re
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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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  For reference, these are the sizes of the variants:
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+ - `en`: 305 GB
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+ - `en.noclean`: 2.3 TB
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+ - `en.noblocklist`: 380 GB
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+ - `realnewslike`: 15 GB
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+ - `multilingual`: 14 TB
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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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+ 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 --depth 1 --branch mC4_3.1.0 https://huggingface.co/datasets/allenai/c4
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  ```
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+ This will download 18 TB to your local drive.
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+ If you want to be more precise with what you are downloading, download the repo like this:
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  ```bash
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+ GIT_LFS_SKIP_SMUDGE=1 git clone --depth 1 --branch -mC4_3.1.0 https://huggingface.co/datasets/allenai/c4
 
 
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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.
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+ You can then convert the stubs into their real files with `git lfs pull --include "..."`.
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+ 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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+ cd c4
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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 18 TB 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/).
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+ 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.