I want to download a HuggingFace dataset, e.g. uonlp/CulturaX
:
from datasets import load_dataset
ds = load_dataset("uonlp/CulturaX", "en")
However, it downloads on one thread at 50 MB/s, while my network is 10 Gbps. Since this dataset is 16 TB, I'd prefer to download it faster so that I don't have to wait for a few days. How can I multithreadedly download a HuggingFace dataset?
One can use the num_proc
attribute (thanks Quentin Lhoest for pointing me to it):
from datasets import load_dataset
ds = load_dataset("uonlp/CulturaX", "en", num_proc=8)
Note that uonlp/CulturaX
has been gated since the question was posted. One must therefore first run in a terminal:
huggingface-cli login --token $HUGGINGFACE_TOKEN
where $HUGGINGFACE_TOKEN
can be found on https://huggingface.co/settings/tokens
and go to uonlp/CulturaX
to accept the dataset access agreement.