The dataset script is more or less ready and one file has correctly been converted so far: https://opendata.iisys.de/systemintegration/Datasets/CommonCrawl/head/de_head_0000_2015-48.tar.gz
You can try downloading the file as follows:
from datasets import load_dataset
ds = load_dataset("flax-community/german_common_crawl", "first")
This can be done on your local computer and should only take around 2GB of disk space.
This however only loads the first of >100 files.
We now need to add all other files to this repo. This can be done as follows:
Clone this repo (assuming
git lfsis installed):git clone https://huggingface.co/datasets/flax-community/german_common_crawlFor each file:
https://opendata.iisys.de/systemintegration/Datasets/CommonCrawl/head/de_head_0000_2016-18.tar.gz-https://opendata.iisys.de/systemintegration/Datasets/CommonCrawl/middle/de_middle_0009_2019-47.tar.gz
run the command ./convert_file.sh <file_name> This command will download the file via wget, filter out all text that is below a threshold as explained here: https://opendata.iisys.de/systemintegration/Datasets/CommonCrawl/middle/de_middle_0009_2019-47.tar.gz and then converts the file into the correct format.
- Upload the file to this repo: `git add . && git commit -m "add file x" && git push
Ideally this can be done in a loop on a computer that has enough CPU memory (Note that if this is done on a TPU VM, make sure to disable the TPU via export JAX_PLATFORM_NAME=cpu.
Also some description and file names have to be added correctly to the dataset.py script