Checksums didn't match for dataset source
@albertvillanova  by running:
```
pip install git+https://github.com/huggingface/datasets#egg=datasets
data = datasets.load_dataset("wiki_lingua", name=language, split="train[:2000]", download_mode="force_redownload", ignore_verifications=True)
```

I had a pickle error **UnpicklingError: invalid load key, '<'** in this part of code  both `locally and on google colab`:

```
"""Yields examples."""
with open(filepath, "rb") as f:
         data = pickle.load(f)
for id_, row in enumerate(data.items()):
         yield id_, {"url": row[0], "article": self._process_article(row[1])}
```

## Dataset viewer issue for 'wiki_lingua*'

**Link:** *link to the dataset viewer page*

`data = datasets.load_dataset("wiki_lingua", name=language, split="train[:2000]")
`
*short description of the issue*
```
[NonMatchingChecksumError: Checksums didn't match for dataset source files:
['https://drive.google.com/uc?export=download&id=11wMGqNVSwwk6zUnDaJEgm3qT71kAHeff']]()
```
Am I the one who added this dataset ? No

Checksums didn't match for dataset source 
 ## Dataset viewer issue for 'wiki_lingua*'

**Link:** *link to the dataset viewer page*

`data = datasets.load_dataset("wiki_lingua", name=language, split="train[:2000]")
`
*short description of the issue*
```
[NonMatchingChecksumError: Checksums didn't match for dataset source files:
['https://drive.google.com/uc?export=download&id=11wMGqNVSwwk6zUnDaJEgm3qT71kAHeff']]()
```
Am I the one who added this dataset ? No
 
 @albertvillanova  by running:
```
pip install git+https://github.com/huggingface/datasets#egg=datasets
data = datasets.load_dataset("wiki_lingua", name=language, split="train[:2000]", download_mode="force_redownload", ignore_verifications=True)
```

I had a pickle error **UnpicklingError: invalid load key, '<'** in this part of code  both `locally and on google colab`:

```
"""Yields examples."""
with open(filepath, "rb") as f:
         data = pickle.load(f)
for id_, row in enumerate(data.items()):
         yield id_, {"url": row[0], "article": self._process_article(row[1])}
```
