Installing `datasets` on M1 computers
MEMBER
Thanks for reporting, @david1542.
2022-10-17T08:42:34Z
https://github.com/huggingface/datasets/issues/5118#issuecomment-1280498800
https://api.github.com/repos/huggingface/datasets/issues/5118
IC_kwDODunzps5MUtxw
https://api.github.com/repos/huggingface/datasets/issues/comments/1280498800/reactions
2022-10-17T08:42:34Z
https://api.github.com/repos/huggingface/datasets/issues/comments/1280498800
https://avatars.githubusercontent.com/u/8515462?v=4
https://api.github.com/users/albertvillanova/events{/privacy}
https://api.github.com/users/albertvillanova/followers
https://api.github.com/users/albertvillanova/following{/other_user}
https://api.github.com/users/albertvillanova/gists{/gist_id}
https://github.com/albertvillanova
albertvillanova
MDQ6VXNlcjg1MTU0NjI=
https://api.github.com/users/albertvillanova/orgs
https://api.github.com/users/albertvillanova/received_events
https://api.github.com/users/albertvillanova/repos
https://api.github.com/users/albertvillanova/starred{/owner}{/repo}
https://api.github.com/users/albertvillanova/subscriptions
User
https://api.github.com/users/albertvillanova
public
## Describe the bug
I wanted to install `datasets` dependencies on my M1 (in order to start contributing to the project). However, I got an error regarding `tensorflow`.

On M1, `tensorflow-macos` needs to be installed instead. Can we add a conditional requirement, so that `tensorflow-macos` would be installed on M1?

## Steps to reproduce the bug
Fresh clone this project (on m1), create a virtualenv and run this:
```python
pip install -e ".[dev]"
```

## Expected results
Installation should be smooth, and all the dependencies should be installed on M1.

## Actual results
You should receive an error, saying pip couldn't find a version that matches this pattern:
```
tensorflow>=2.3,!=2.6.0,!=2.6.1
```

## Environment info
<!-- You can run the command `datasets-cli env` and copy-and-paste its output below. -->
- `datasets` version: 2.6.2.dev0
- Platform: macOS-12.6-arm64-arm-64bit
- Python version: 3.9.6
- PyArrow version: 7.0.0
- Pandas version: 1.5.0

