Zenodo.org download is not responding
[Off topic but related: Is the uptime of S3 provably better than Zenodo's?] Hi @dkajtoch, please note that at HuggingFace we are not hosting this dataset: we are just using a script to download their data file and create a dataset from it.

It was the dataset owners decision to host their data at Zenodo. You can see this on their website: https://marcobaroni.org/composes/sick.html

And yes, you are right: Zenodo is currently having some incidents and people are reporting problems from it.

On the other hand, we could contact the data owners and propose them to host their data at our Hugging Face Hub.

@julien-c I guess so.
 Thanks @albertvillanova. I know that the problem lies in the source data. I just wanted to point out that these kind of problems are unavoidable without having one place where data sources are cached. Websites may go down or data sources may move. Having a copy in Hugging Face Hub would be a great solution.  Definitely, @dkajtoch! But we have to ask permission to the data owners. And many dataset licenses directly forbid data redistribution: in those cases we are not allowed to host their data on our Hub. Ahhh good point! License is the problem :(
## Describe the bug
Source download_url from zenodo.org does not respond. 
`_DOWNLOAD_URL = "https://zenodo.org/record/2787612/files/SICK.zip?download=1"`
Other datasets also use zenodo.org to store data and they cannot be downloaded as well.

It would be better to actually use more reliable way to store original data like s3 bucket.

## Steps to reproduce the bug
```python
load_dataset("sick")
```

## Expected results
Dataset should be downloaded.

## Actual results
ConnectionError: Couldn't reach https://zenodo.org/record/2787612/files/SICK.zip?download=1 (ReadTimeout(ReadTimeoutError("HTTPSConnectionPool(host='zenodo.org', port=443): Read timed out. (read timeout=100)")))

## Environment info
- `datasets` version: 2.1.0
- Platform: Darwin-21.4.0-x86_64-i386-64bit
- Python version: 3.7.11
- PyArrow version: 7.0.0
- Pandas version: 1.3.5
