Load private data files + use glob on ZIP archives for json/csv/etc. module inference
I have an error on windows:
```python
aiohttp.client_exceptions.ClientConnectorCertificateError: Cannot connect to host moon-staging.huggingface.co:443 ssl:True [SSLCertVerificationError: (1, '[SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: certificate has expired (_ssl.c:1131)')]
```
at the `fsspec` call in `xglob`:
```python
fs, *_ = fsspec.get_fs_token_paths(urlpath, storage_options=storage_options)
```

Looks like the windows CI has an SSL issue...  I can reproduce it on my windows machine. On linux it works fine though I'm just skipping the windows test for now The Windows CI failure seems unrelated to this PR
```python
ERROR tests/test_arrow_dataset.py::test_dummy_dataset_serialize_s3
```
As mentioned in https://github.com/huggingface/datasets/issues/3032 loading data files from private repository isn't working correctly because of the data files resolved.

#2986 did a refactor of the data files resolver. I added authentication to it.

I also improved it to glob inside ZIP archives to look for json/csv/etc. files and infer which dataset builder (json/csv/etc.) to use.

Fix https://github.com/huggingface/datasets/issues/3032

Note that #2986 needs to get merged first