Loading a dataset from the hub fails if you happen to have a folder of the same name

### Describe the bug

I'm not 100% sure this should be considered a bug, but it was certainly annoying to figure out the cause of. And perhaps I am just missing a specific argument needed to avoid this conflict. Basically I had a situation where multiple workers were downloading different parts of the glue dataset and then training on them. Additionally, they were writing their checkpoints to a folder called `glue`. This meant that once one worker had created the `glue` folder to write checkpoints to, the next worker to try to load a glue dataset would fail as shown in the minimal repro below. I'm not sure what the solution would be since I'm not super familiar with the `datasets` code, but I would expect `load_dataset` to not crash just because i have a local folder with the same name as a dataset from the hub.

### Steps to reproduce the bug

```
In [1]: import datasets

In [2]: rte = datasets.load_dataset('glue', 'rte')
Downloading and preparing dataset glue/rte to /Users/danielking/.cache/huggingface/datasets/glue/rte/1.0.0/dacbe3125aa31d7f70367a07a8a9e72a5a0bfeb5fc42e75c9db75b96da6053ad...
Downloading data: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 697k/697k [00:00<00:00, 6.08MB/s]
Dataset glue downloaded and prepared to /Users/danielking/.cache/huggingface/datasets/glue/rte/1.0.0/dacbe3125aa31d7f70367a07a8a9e72a5a0bfeb5fc42e75c9db75b96da6053ad. Subsequent calls will reuse this data.
100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 773.81it/s]

In [3]: import os

In [4]: os.mkdir('glue')

In [5]: rte = datasets.load_dataset('glue', 'rte')
---------------------------------------------------------------------------
EmptyDatasetError                         Traceback (most recent call last)
<ipython-input-5-0d6b9ad8bbd0> in <cell line: 1>()
----> 1 rte = datasets.load_dataset('glue', 'rte')

~/miniconda3/envs/composer/lib/python3.9/site-packages/datasets/load.py in load_dataset(path, name, data_dir, data_files, split, cache_dir, features, download_config, download_mode, ignore_verifications, keep_in_memory, save_infos, revision, use_auth_token, task, streaming, **config_kwargs)
   1717 
   1718     # Create a dataset builder
-> 1719     builder_instance = load_dataset_builder(
   1720         path=path,
   1721         name=name,

~/miniconda3/envs/composer/lib/python3.9/site-packages/datasets/load.py in load_dataset_builder(path, name, data_dir, data_files, cache_dir, features, download_config, download_mode, revision, use_auth_token, **config_kwargs)
   1495         download_config = download_config.copy() if download_config else DownloadConfig()
   1496         download_config.use_auth_token = use_auth_token
-> 1497     dataset_module = dataset_module_factory(
   1498         path,
   1499         revision=revision,

~/miniconda3/envs/composer/lib/python3.9/site-packages/datasets/load.py in dataset_module_factory(path, revision, download_config, download_mode, dynamic_modules_path, data_dir, data_files, **download_kwargs)
   1152         ).get_module()
   1153     elif os.path.isdir(path):
-> 1154         return LocalDatasetModuleFactoryWithoutScript(
   1155             path, data_dir=data_dir, data_files=data_files, download_mode=download_mode
   1156         ).get_module()

~/miniconda3/envs/composer/lib/python3.9/site-packages/datasets/load.py in get_module(self)
    624         base_path = os.path.join(self.path, self.data_dir) if self.data_dir else self.path
    625         patterns = (
--> 626             sanitize_patterns(self.data_files) if self.data_files is not None else get_data_patterns_locally(base_path)
    627         )
    628         data_files = DataFilesDict.from_local_or_remote(

~/miniconda3/envs/composer/lib/python3.9/site-packages/datasets/data_files.py in get_data_patterns_locally(base_path)
    458         return _get_data_files_patterns(resolver)
    459     except FileNotFoundError:
--> 460         raise EmptyDatasetError(f"The directory at {base_path} doesn't contain any data files") from None
    461 
    462 

EmptyDatasetError: The directory at glue doesn't contain any data files
```

### Expected behavior

Dataset is still able to be loaded from the hub even if I have a local folder with the same name.

### Environment info

datasets version: 2.6.1

`load_dataset` first checks for a local directory before checking for the Hub.

To make it explicit that it has to fetch the Hub, we could support the `hffs` syntax:
```python
load_dataset("hf://datasets/glue")
```

would that work for you ? Also cc @mariosasko who's leading the `hffs` project

yeah, that would be a fine solution.

This still has no proper solution in 2.11

perhaps have a `download_config="force_remote"` or just backtrack once you reach `EmptyDatasetError` locally and then try to load it from the hub (or a local cache, as that only gets checked if there is no local folder...?)