Datasets 2.10.0 does not reuse the dataset cache
### Describe the bug

download_mode="reuse_dataset_if_exists" will always consider that a dataset doesn't exist.

Specifically, upon losing an internet connection trying to load a dataset for a second time in ten seconds, a connection error results, showing a breakpoint of:

```
File ~/jupyterlab/.direnv/python-3.9.6/lib/python3.9/site-packages/datasets/load.py:1174, in dataset_module_factory(path, revision, download_config, download_mode, dynamic_modules_path, data_dir, data_files, **download_kwargs)
   1165 except Exception as e:  # noqa: catch any exception of hf_hub and consider that the dataset doesn't exist
   1166     if isinstance(
   1167         e,
   1168         (
   (...)
   1172         ),
   1173     ):
-> 1174         raise ConnectionError(f"Couldn't reach '{path}' on the Hub ({type(e).__name__})")
   1175     elif "404" in str(e):
   1176         msg = f"Dataset '{path}' doesn't exist on the Hub"

ConnectionError: Couldn't reach 'lsb/tenk' on the Hub (ConnectionError)
```

This has been around since at least v2.0.


### Steps to reproduce the bug

```
from datasets import load_dataset
import numpy as np

tenk = load_dataset("lsb/tenk") # ten thousand integers
print(np.average(tenk['train']['a'])) # prints 4999.5

### now disconnect your internet

tenk_too = load_dataset("lsb/tenk", download_mode="reuse_dataset_if_exists") 
# Raises ConnectionError: Couldn't reach 'lsb/tenk' on the Hub (ConnectionError)
```

### Expected behavior

I expected that I would be able to reuse the dataset I just downloaded.

### Environment info


- `datasets` version: 2.10.0
- Platform: macOS-13.1-arm64-arm-64bit
- Python version: 3.9.6
- PyArrow version: 7.0.0
- Pandas version: 1.5.2