NonMatchingSplitsSizesError when loading blog_authorship_corpus
I'm getting this same issue when loading the `imdb` corpus via `dataset = load_dataset("imdb")`. When I try `ignore_verifications=True`, no examples are read into the `train` portion of the dataset. 
Getting this error when i run `nlp.load_dataset('blog_authorship_corpus')`. 

```
raise NonMatchingSplitsSizesError(str(bad_splits))
nlp.utils.info_utils.NonMatchingSplitsSizesError: [{'expected': SplitInfo(name='train', 
num_bytes=610252351, num_examples=532812, dataset_name='blog_authorship_corpus'), 
'recorded': SplitInfo(name='train', num_bytes=616473500, num_examples=536323, 
dataset_name='blog_authorship_corpus')}, {'expected': SplitInfo(name='validation', 
num_bytes=37500394, num_examples=31277, dataset_name='blog_authorship_corpus'), 
'recorded': SplitInfo(name='validation', num_bytes=30786661, num_examples=27766, 
dataset_name='blog_authorship_corpus')}]
```

Upon checking it seems like there is a disparity between the information in `datasets/blog_authorship_corpus/dataset_infos.json` and what was downloaded. Although I can get away with this by passing `ignore_verifications=True` in `load_dataset`, I'm thinking doing so might give problems later on.
NonMatchingSplitsSizesError when loading blog_authorship_corpus 
 Getting this error when i run `nlp.load_dataset('blog_authorship_corpus')`. 

```
raise NonMatchingSplitsSizesError(str(bad_splits))
nlp.utils.info_utils.NonMatchingSplitsSizesError: [{'expected': SplitInfo(name='train', 
num_bytes=610252351, num_examples=532812, dataset_name='blog_authorship_corpus'), 
'recorded': SplitInfo(name='train', num_bytes=616473500, num_examples=536323, 
dataset_name='blog_authorship_corpus')}, {'expected': SplitInfo(name='validation', 
num_bytes=37500394, num_examples=31277, dataset_name='blog_authorship_corpus'), 
'recorded': SplitInfo(name='validation', num_bytes=30786661, num_examples=27766, 
dataset_name='blog_authorship_corpus')}]
```

Upon checking it seems like there is a disparity between the information in `datasets/blog_authorship_corpus/dataset_infos.json` and what was downloaded. Although I can get away with this by passing `ignore_verifications=True` in `load_dataset`, I'm thinking doing so might give problems later on. 
 I'm getting this same issue when loading the `imdb` corpus via `dataset = load_dataset("imdb")`. When I try `ignore_verifications=True`, no examples are read into the `train` portion of the dataset. 