NonMatchingChecksumError in xcopa dataset
@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")
```
## 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:


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:

 
 @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")
```