Issue: `load_dataset('docred')` results in a `NonMatchingChecksumError` 
State: closed
Author: tmpr

## Describe the bug
I get consistent `NonMatchingChecksumError: Checksums didn't match for dataset source files` errors when trying to execute `datasets.load_dataset('docred')`.

## Steps to reproduce the bug
It is quasi only this code:
```python
import datasets
data = datasets.load_dataset('docred')
```

## Expected results
The DocRED dataset should be loaded without any problems.

## Actual results
```
NonMatchingChecksumError                  Traceback (most recent call last)
<ipython-input-4-b1b83f25a16c> in <module>
----> 1 d = datasets.load_dataset('docred')

~/anaconda3/lib/python3.8/site-packages/datasets/load.py in load_dataset(path, name, data_dir, data_files, split, cache_dir, features, download_config, download_mode, ignore_verifications, keep_in_memory, save_infos, script_version, use_auth_token, task, streaming, **config_kwargs)
    845 
    846     # Download and prepare data
--> 847     builder_instance.download_and_prepare(
    848         download_config=download_config,
    849         download_mode=download_mode,

~/anaconda3/lib/python3.8/site-packages/datasets/builder.py in download_and_prepare(self, download_config, download_mode, ignore_verifications, try_from_hf_gcs, dl_manager, base_path, use_auth_token, **download_and_prepare_kwargs)
    613                             logger.warning("HF google storage unreachable. Downloading and preparing it from source")
    614                     if not downloaded_from_gcs:
--> 615                         self._download_and_prepare(
    616                             dl_manager=dl_manager, verify_infos=verify_infos, **download_and_prepare_kwargs
    617                         )

~/anaconda3/lib/python3.8/site-packages/datasets/builder.py in _download_and_prepare(self, dl_manager, verify_infos, **prepare_split_kwargs)
    673         # Checksums verification
    674         if verify_infos:
--> 675             verify_checksums(
    676                 self.info.download_checksums, dl_manager.get_recorded_sizes_checksums(), "dataset source files"
    677             )

~/anaconda3/lib/python3.8/site-packages/datasets/utils/info_utils.py 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://drive.google.com/uc?export=download&id=1fDmfUUo5G7gfaoqWWvK81u08m71TK2g7']
```

## Environment info
- `datasets` version: 1.11.0
- Platform: Linux-5.11.0-7633-generic-x86_64-with-glibc2.10
- Python version: 3.8.5
- PyArrow version: 5.0.0

This error also happened on my Windows-partition, after freshly installing python 3.9 and `datasets`.

## Remarks

- I have already called `rm -rf /home/<user>/.cache/huggingface`, i.e., I have tried clearing the cache.
- The problem does not exist for other datasets, i.e., it seems to be DocRED-specific.

Comments:
Hi @tmpr, thanks for reporting.

Two weeks ago (23th Aug), the host of the source `docred` dataset updated one of the files (`dev.json`): you can see it [here](https://drive.google.com/drive/folders/1c5-0YwnoJx8NS6CV2f-NoTHR__BdkNqw).

Therefore, the checksum needs to be updated.

Normally, in the meantime, you could avoid the error by passing `ignore_verifications=True` to `load_dataset`. However, as the old link points to a non-existing file, the link must be updated too.

I'm fixing all this.