Use parallelism when streaming datasets
New in [2.4.0](https://github.com/huggingface/datasets/releases/tag/2.4.0)

https://huggingface.co/docs/datasets/v2.4.0/en/use_with_pytorch#use-multiple-workers

Related to https://github.com/huggingface/datasets-server/issues/416: we will need to adapt the number of cpus allocated to every pod to the number of workers assigned to the data loader.
Use parallelism when streaming datasets: New in [2.4.0](https://github.com/huggingface/datasets/releases/tag/2.4.0)

https://huggingface.co/docs/datasets/v2.4.0/en/use_with_pytorch#use-multiple-workers

Related to https://github.com/huggingface/datasets-server/issues/416: we will need to adapt the number of cpus allocated to every pod to the number of workers assigned to the data loader.