fsspec 2022.8.2 breaks xopen in streaming mode
loading `fsspec==2022.7.1` fixes this issue, setup.py would need to be changed to prevent users from using the latest version of fsspec. Opened [PR](https://github.com/huggingface/datasets/pull/4962) to address this. Hi @DCNemesis, thanks for reporting.

That was a temporary issue in `fsspec` releases 2022.8.0 and 2022.8.1. But they fixed it in their patch release 2022.8.2 (and yanked both previous versions). See:
- https://github.com/huggingface/transformers/pull/18846

Are you sure you have version 2022.8.2 installed?
```shell
pip install -U fsspec
```
 @albertvillanova I was using a temporary Google Colab instance, but checking it again today it seems it was loading 2022.8.1 rather than 2022.8.2. It's surprising that colab is using the version that was replaced the same day it was released. Testing with 2022.8.2 did work. It appears Colab [will be fixing it](https://github.com/googlecolab/colabtools/issues/3055) on their end too.  Thanks for the additional information.

Once we know 2022.8.2 works, I'm closing this issue. Feel free to reopen it if necessary. Colab just upgraded their default `fsspec` version to 2022.8.2:
- https://github.com/googlecolab/colabtools/issues/3055#issuecomment-1244019010
## Describe the bug
When fsspec 2022.8.2 is installed in your environment, xopen will prematurely close files, making streaming mode inoperable.

## Steps to reproduce the bug
```python

import datasets

data = datasets.load_dataset('MLCommons/ml_spoken_words', 'id_wav', split='train', streaming=True)

```

## Expected results
Dataset should load as iterator.

## Actual results
```
[/usr/local/lib/python3.7/dist-packages/datasets/load.py](https://localhost:8080/#) 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)
   1737     # Return iterable dataset in case of streaming
   1738     if streaming:
-> 1739         return builder_instance.as_streaming_dataset(split=split)
   1740 
   1741     # Some datasets are already processed on the HF google storage

[/usr/local/lib/python3.7/dist-packages/datasets/builder.py](https://localhost:8080/#) in as_streaming_dataset(self, split, base_path)
   1023         )
   1024         self._check_manual_download(dl_manager)
-> 1025         splits_generators = {sg.name: sg for sg in self._split_generators(dl_manager)}
   1026         # By default, return all splits
   1027         if split is None:

[~/.cache/huggingface/modules/datasets_modules/datasets/MLCommons--ml_spoken_words/321ea853cf0a05abb7a2d7efea900692a3d8622af65a2f3ce98adb7800a5d57b/ml_spoken_words.py](https://localhost:8080/#) in _split_generators(self, dl_manager)
    182                 name=datasets.Split.TRAIN,
    183                 gen_kwargs={
--> 184                     "audio_archives": [download_audio(split="train", lang=lang) for lang in self.config.languages],
    185                     "local_audio_archives_paths": [download_extract_audio(split="train", lang=lang) for lang in
    186                                                    self.config.languages] if not dl_manager.is_streaming else None,

[~/.cache/huggingface/modules/datasets_modules/datasets/MLCommons--ml_spoken_words/321ea853cf0a05abb7a2d7efea900692a3d8622af65a2f3ce98adb7800a5d57b/ml_spoken_words.py](https://localhost:8080/#) in <listcomp>(.0)
    182                 name=datasets.Split.TRAIN,
    183                 gen_kwargs={
--> 184                     "audio_archives": [download_audio(split="train", lang=lang) for lang in self.config.languages],
    185                     "local_audio_archives_paths": [download_extract_audio(split="train", lang=lang) for lang in
    186                                                    self.config.languages] if not dl_manager.is_streaming else None,

[~/.cache/huggingface/modules/datasets_modules/datasets/MLCommons--ml_spoken_words/321ea853cf0a05abb7a2d7efea900692a3d8622af65a2f3ce98adb7800a5d57b/ml_spoken_words.py](https://localhost:8080/#) in _download_audio_archives(dl_manager, lang, format, split)
    267 # for streaming case
    268 def _download_audio_archives(dl_manager, lang, format, split):
--> 269     archives_paths = _download_audio_archives_paths(dl_manager, lang, format, split)
    270     return [dl_manager.iter_archive(archive_path) for archive_path in archives_paths]

[~/.cache/huggingface/modules/datasets_modules/datasets/MLCommons--ml_spoken_words/321ea853cf0a05abb7a2d7efea900692a3d8622af65a2f3ce98adb7800a5d57b/ml_spoken_words.py](https://localhost:8080/#) in _download_audio_archives_paths(dl_manager, lang, format, split)
    251     n_files_path = dl_manager.download(n_files_url)
    252 
--> 253     with open(n_files_path, "r", encoding="utf-8") as file:
    254         n_files = int(file.read().strip())  # the file contains a number of archives
    255 

ValueError: I/O operation on closed file.
```


## Environment info
- `datasets` version: 2.4.0
- Platform: Linux-5.10.133+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.13
- PyArrow version: 6.0.1
- Pandas version: 1.3.5
