resume_download with streaming=True
Currently, it's not possible to efficiently resume streaming after an error. Eventually, we plan to support this for Parquet (see https://github.com/huggingface/datasets/issues/5380).  Ok thank you for your answer I'm closing this as a duplicate of #5380
### Describe the bug

I used:
```
dataset = load_dataset(
    "oscar-corpus/OSCAR-2201",
    token=True,
    language="fr",
    streaming=True,
    split="train"
)
```
Unfortunately, the server had a problem during the training process. I saved the step my training stopped at.
But how can I resume download from step 1_000_´000 without re-streaming all the first 1 million docs of the dataset?

`download_config=DownloadConfig(resume_download=True)` seems to not work with streaming=True.

### Steps to reproduce the bug

```
from datasets import load_dataset, DownloadConfig
dataset = load_dataset(
    "oscar-corpus/OSCAR-2201",
    token=True,
    language="fr",
    streaming=True,  # optional
    split="train",
    download_config=DownloadConfig(resume_download=True)
)
# interupt the run and try to relaunch it => this restart from scratch
```

### Expected behavior

I would expect a parameter to start streaming from a given index in the dataset.

### Environment info

- `datasets` version: 2.14.0
- Platform: Linux-5.19.0-45-generic-x86_64-with-glibc2.29
- Python version: 3.8.10
- Huggingface_hub version: 0.15.1
- PyArrow version: 12.0.1
- Pandas version: 2.0.0