num_proc parallelization works only for first ~10s.
Hi, can you check if the processes are still alive ? It's a bit weird because `datasets` does check if processes crash and return an error in that case Thank you for reverting quickly. I digged a bit, and realized my disk's IOPS is also limited - which is causing this. will check further and report if it's an issue of hf datasets' side or mine. 
### Describe the bug

When I try to load an already downloaded dataset with num_proc=64, the speed is very high for the first 10-20 seconds acheiving 30-40K samples / s, and 100% utilization for all cores but it soon drops to <= 1000 with almost 0% utilization for most cores. 

### Steps to reproduce the bug

```
// download dataset with cli
!huggingface-cli download --repo-type dataset timm/imagenet-1k-wds --max-workers 32

from datasets import load_dataset
ds = load_dataset("timm/imagenet-1k-wds", num_proc=64)
```


### Expected behavior

100% core utilization throughout. 

### Environment info

Azure A100-80GB, 16 cores VM

![Image](https://github.com/user-attachments/assets/69d00fe3-d720-4474-9439-21e046d85034)