[Dataset] RACE dataset Checksums error
`NonMatchingChecksumError` means that the checksum of the downloaded file is not the expected one.
Either the file you downloaded was corrupted along the way, or the host updated the file.
Could you try to clear your cache and run `load_dataset` again ? If the error is still there, it means that there was an update in the data, and we may have to update the expected checksum value.
Hi there, I just would like to use this awesome lib to perform a dataset fine-tuning on RACE dataset. I have performed the following steps:

```
dataset = nlp.load_dataset("race")
len(dataset["train"]), len(dataset["validation"])
```

But then I got the following error:

```
---------------------------------------------------------------------------
NonMatchingChecksumError                  Traceback (most recent call last)
<ipython-input-15-8bf7603ce0ed> in <module>
----> 1 dataset = nlp.load_dataset("race")
      2 len(dataset["train"]), len(dataset["validation"])

~/miniconda3/envs/masters/lib/python3.8/site-packages/nlp/load.py in load_dataset(path, name, version, data_dir, data_files, split, cache_dir, features, download_config, download_mode, ignore_verifications, save_infos, **config_kwargs)
    546 
    547     # Download and prepare data
--> 548     builder_instance.download_and_prepare(
    549         download_config=download_config, download_mode=download_mode, ignore_verifications=ignore_verifications,
    550     )

~/miniconda3/envs/masters/lib/python3.8/site-packages/nlp/builder.py in download_and_prepare(self, download_config, download_mode, ignore_verifications, try_from_hf_gcs, dl_manager, **download_and_prepare_kwargs)
    460                         logger.info("Dataset not on Hf google storage. Downloading and preparing it from source")
    461                 if not downloaded_from_gcs:
--> 462                     self._download_and_prepare(
    463                         dl_manager=dl_manager, verify_infos=verify_infos, **download_and_prepare_kwargs
    464                     )

~/miniconda3/envs/masters/lib/python3.8/site-packages/nlp/builder.py in _download_and_prepare(self, dl_manager, verify_infos, **prepare_split_kwargs)
    519         # Checksums verification
    520         if verify_infos:
--> 521             verify_checksums(
    522                 self.info.download_checksums, dl_manager.get_recorded_sizes_checksums(), "dataset source files"
    523             )

~/miniconda3/envs/masters/lib/python3.8/site-packages/nlp/utils/info_utils.py in verify_checksums(expected_checksums, recorded_checksums, verification_name)
     36     if len(bad_urls) > 0:
     37         error_msg = "Checksums didn't match" + for_verification_name + ":\n"
---> 38         raise NonMatchingChecksumError(error_msg + str(bad_urls))
     39     logger.info("All the checksums matched successfully" + for_verification_name)
     40 

NonMatchingChecksumError: Checksums didn't match for dataset source files:
['http://www.cs.cmu.edu/~glai1/data/race/RACE.tar.gz']
```
[Dataset] RACE dataset Checksums error 
 Hi there, I just would like to use this awesome lib to perform a dataset fine-tuning on RACE dataset. I have performed the following steps:

```
dataset = nlp.load_dataset("race")
len(dataset["train"]), len(dataset["validation"])
```

But then I got the following error:

```
---------------------------------------------------------------------------
NonMatchingChecksumError                  Traceback (most recent call last)
<ipython-input-15-8bf7603ce0ed> in <module>
----> 1 dataset = nlp.load_dataset("race")
      2 len(dataset["train"]), len(dataset["validation"])

~/miniconda3/envs/masters/lib/python3.8/site-packages/nlp/load.py in load_dataset(path, name, version, data_dir, data_files, split, cache_dir, features, download_config, download_mode, ignore_verifications, save_infos, **config_kwargs)
    546 
    547     # Download and prepare data
--> 548     builder_instance.download_and_prepare(
    549         download_config=download_config, download_mode=download_mode, ignore_verifications=ignore_verifications,
    550     )

~/miniconda3/envs/masters/lib/python3.8/site-packages/nlp/builder.py in download_and_prepare(self, download_config, download_mode, ignore_verifications, try_from_hf_gcs, dl_manager, **download_and_prepare_kwargs)
    460                         logger.info("Dataset not on Hf google storage. Downloading and preparing it from source")
    461                 if not downloaded_from_gcs:
--> 462                     self._download_and_prepare(
    463                         dl_manager=dl_manager, verify_infos=verify_infos, **download_and_prepare_kwargs
    464                     )

~/miniconda3/envs/masters/lib/python3.8/site-packages/nlp/builder.py in _download_and_prepare(self, dl_manager, verify_infos, **prepare_split_kwargs)
    519         # Checksums verification
    520         if verify_infos:
--> 521             verify_checksums(
    522                 self.info.download_checksums, dl_manager.get_recorded_sizes_checksums(), "dataset source files"
    523             )

~/miniconda3/envs/masters/lib/python3.8/site-packages/nlp/utils/info_utils.py in verify_checksums(expected_checksums, recorded_checksums, verification_name)
     36     if len(bad_urls) > 0:
     37         error_msg = "Checksums didn't match" + for_verification_name + ":\n"
---> 38         raise NonMatchingChecksumError(error_msg + str(bad_urls))
     39     logger.info("All the checksums matched successfully" + for_verification_name)
     40 

NonMatchingChecksumError: Checksums didn't match for dataset source files:
['http://www.cs.cmu.edu/~glai1/data/race/RACE.tar.gz']
``` 
 `NonMatchingChecksumError` means that the checksum of the downloaded file is not the expected one.
Either the file you downloaded was corrupted along the way, or the host updated the file.
Could you try to clear your cache and run `load_dataset` again ? If the error is still there, it means that there was an update in the data, and we may have to update the expected checksum value.