NonMatchingChecksumError in xcopa dataset

## Describe the bug
Loading the xcopa dataset doesn't work, it fails due to a mismatch in the checksum.

## Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset("xcopa", "it")
```

## Expected results
The dataset should be loaded correctly.

## Actual results
Fails with:
```python
in verify_checksums(expected_checksums, recorded_checksums, verification_name)
     38     if len(bad_urls) > 0:
     39         error_msg = "Checksums didn't match" + for_verification_name + ":\n"
---> 40         raise NonMatchingChecksumError(error_msg + str(bad_urls))
     41     logger.info("All the checksums matched successfully" + for_verification_name)
     42 

NonMatchingChecksumError: Checksums didn't match for dataset source files:
['https://github.com/cambridgeltl/xcopa/archive/master.zip']
```

## Environment info
<!-- You can run the command `datasets-cli env` and copy-and-paste its output below. -->
- `datasets` version: 1.18.3, and 1.18.4.dev0
- Platform:
- Python version: 3.8
- PyArrow version:



Comments:
@albertvillanova here's a separate issue for a bug similar to #3792

Hi @afcruzs-ms, thanks for opening this separate issue for your problem.

The root problem in the other issue (#3792) was a change in the service of Google Drive.

But in your case, the `xcopa` dataset is not hosted on Google Drive. Therefore, the root cause should be a different one.

Let me look at it... 

@afcruzs-ms, I'm not able to reproduce the issue you reported:
```python
In [1]: from datasets import load_dataset
   ...: dataset = load_dataset("xcopa", "it")
Downloading builder script: 5.21kB [00:00, 2.75MB/s]                                                                                                                                                       
Downloading metadata: 28.6kB [00:00, 14.5MB/s]                                                                                                                                                             
Downloading and preparing dataset xcopa/it (download: 627.09 KiB, generated: 76.43 KiB, post-processed: Unknown size, total: 703.52 KiB) to .../.cache/huggingface/datasets/xcopa/it/1.0.0/e1fab65f984b24c8b66bcf7ac27a26a1182f84adfb2e74035861be65e214b9e6...
Downloading data: 642kB [00:00, 5.42MB/s]
Dataset xcopa downloaded and prepared to .../.cache/huggingface/datasets/xcopa/it/1.0.0/e1fab65f984b24c8b66bcf7ac27a26a1182f84adfb2e74035861be65e214b9e6. Subsequent calls will reuse this data.  
100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:00<00:00, 733.27it/s]

In [2]: dataset
Out[2]: 
DatasetDict({
    test: Dataset({
        features: ['premise', 'choice1', 'choice2', 'question', 'label', 'idx', 'changed'],
        num_rows: 500
    })
    validation: Dataset({
        features: ['premise', 'choice1', 'choice2', 'question', 'label', 'idx', 'changed'],
        num_rows: 100
    })
})
```

Maybe you have some issue with your cached data... Could you please try to force the redownload of the data?
```python
dataset = load_dataset("xcopa", "it", download_mode="force_redownload")
```

It works indeed, thanks! 

unfortunately, i am having a similar problem with the irc_disentaglement dataset :/
my code:
```
from datasets import load_dataset

dataset = load_dataset("irc_disentangle", download_mode="force_redownload")
```

however, it produces the same error as @afcruzs-ms 
```
[38](file:///Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/datasets/utils/info_utils.py?line=37) if len(bad_urls) > 0:
     [39](file:///Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/datasets/utils/info_utils.py?line=38)     error_msg = "Checksums didn't match" + for_verification_name + ":\n"
---> [40](file:///Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/datasets/utils/info_utils.py?line=39)     raise NonMatchingChecksumError(error_msg + str(bad_urls))
     [41](file:///Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/datasets/utils/info_utils.py?line=40) logger.info("All the checksums matched successfully" + for_verification_name)

NonMatchingChecksumError: Checksums didn't match for dataset source files:
['https://github.com/jkkummerfeld/irc-disentanglement/tarball/master']
```

I attempted to use the `ignore_verifications' as such:
```
ds = datasets.load_dataset('irc_disentangle', download_mode="force_redownload", ignore_verifications=True)

```
```
Downloading builder script: 12.0kB [00:00, 5.92MB/s]                   
Downloading metadata: 7.58kB [00:00, 3.48MB/s]                   
No config specified, defaulting to: irc_disentangle/ubuntu
Downloading and preparing dataset irc_disentangle/ubuntu (download: 112.98 MiB, generated: 60.05 MiB, post-processed: Unknown size, total: 173.03 MiB) to /Users/laylabouzoubaa/.cache/huggingface/datasets/irc_disentangle/ubuntu/1.0.0/0f24ab262a21d8c1d989fa53ed20caa928f5880be26c162bfbc02445dbade7e5...
Downloading data: 118MB [00:09, 12.1MB/s] 
                                                                             
Dataset irc_disentangle downloaded and prepared to /Users/laylabouzoubaa/.cache/huggingface/datasets/irc_disentangle/ubuntu/1.0.0/0f24ab262a21d8c1d989fa53ed20caa928f5880be26c162bfbc02445dbade7e5. Subsequent calls will reuse this data.
100%|██████████| 3/3 [00:00<00:00, 675.38it/s]
```
but, this returns an empty set?

```
DatasetDict({
    train: Dataset({
        features: ['id', 'raw', 'ascii', 'tokenized', 'date', 'connections'],
        num_rows: 0
    })
    test: Dataset({
        features: ['id', 'raw', 'ascii', 'tokenized', 'date', 'connections'],
        num_rows: 0
    })
    validation: Dataset({
        features: ['id', 'raw', 'ascii', 'tokenized', 'date', 'connections'],
        num_rows: 0
    })
})
```

not sure what else to try at this point?
Thanks in advanced🤗

Thanks @labouz for reporting: yes, better opening a new GitHub issue as you did. I'm addressing it:
- #4376