Delete data file

process.txt

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-
-# this is a small derivative from 8M-big openwebtext dataset for testing
-
-# how this build script and dataset_infos.json were generated
-
-#
-
-mkdir openwebtext-10k
-cd openwebtext-10k
-
-# data
-wget https://zenodo.org/record/3834942/files/openwebtext.tar.xz
-tar xf openwebtext.tar.xz
-cd openwebtext
-rename.pl 's|-|-00|; s|-00(\d\d\d)|-$1|; s|-00(\d\d)|-0$1|;' *xz
-
-# now open the first 30 archives
-mkdir subset
-cp urlsf_subset00-0[0-2]*_data.xz subset
-cd subset
-find . -name "*xz" -exec tar xf {} \;
-mkdir 10k
-find . -name "*txt" | sort | head -10000 | xargs mv -t 10k
-tar cfJ 10k.xz -C 10k .
-mkdir openwebtext-10k
-mv 10k.xz openwebtext-10k
-tar cfJ openwebtext-10k.tar.xz openwebtext-10k
-# the openwebtext subdir gets created on the fly
-aws s3 cp openwebtext-10k.tar.xz s3://datasets.huggingface.co/nlp/datasets/openwebtext/
-
-# script
-wget https://raw.githubusercontent.com/huggingface/datasets/master/datasets/openwebtext/openwebtext.py
-mv openwebtext.py openwebtext-10k.py
-perl -pi -e 's|openwebtext|openwebtext-10k|g' openwebtext-10k.py
-perl -pi -e 's|https://zenodo.org/record/3834942/files/|https://cdn-datasets.huggingface.co/nlp/datasets/openwebtext/|g' openwebtext-10k.py
-perl -pi -e 's|Openwebtext|Openwebtext10k|g' openwebtext-10k.py
-
-
-
-# manually check that the script is correct - edit the descriptions
-
-# create a new dataset entry on the hub
-https://huggingface.co/new-dataset
-
-# once created clone it
-git clone https://huggingface.co/datasets/stas/openwebtext-10k
-cp openwebtext-10k.py process.txt openwebtext-10k
-cd openwebtext-10k
-
-git add openwebtext-10k.py process.txt
-git commit -m "build script" openwebtext-10k.py process.txt
-git push
-
-# test and generate config file
-cd ..
-datasets-cli test ./openwebtext-10k --save_infos --all_configs
-
-# add and push the generated config
-cd openwebtext-10k
-git add dataset_infos.json
-git commit -m "add dataset_infos.json" dataset_infos.json
-git push
-
-# test that the dataset is working
-python -c "from datasets import load_dataset; ds=load_dataset('stas/openwebtext-10k'); print(ds)"