When trying to load the dataset with the split "microphone-single", I
get following error:
```
RuntimeError: Sharding is ambiguous for this dataset: we found several data sources lists of different lengths, and we don't know over which list we should parallelize:
- key samples_paths has length 134
- key ids has length 136
- key verification_ids has length 134
To fix this, check the 'gen_kwargs' and make sure to use lists only for data sources, and use tuples otherwise. In the end there should only be one single list, or several lists with the same length.
```
This is due to `ids` still containing the missing files for that split.
* language(s) and license(s) for consistency
* `licenses:` => `license:`
* `languages:` => `language:`
* backward-compat
* make style
* set default values for deprecated languages and licenses
Co-authored-by: Quentin Lhoest <lhoest.q@gmail.com>
Commit from https://github.com/huggingface/datasets/commit/a5192964dc4b76ee5c03593c11ee56f29bbd688d
* validate YAML part
* fix bad YAML keys
* don't have config names as yaml keys
* style
* Remove hacking license tags when mirroring datasets on the Hub
* fix test
* fix style
* more fixes
* remove dots in QA column mapping keys
Commit from https://github.com/huggingface/datasets/commit/3f3013441e4af9bf4efa752b5e6e184a588b7a80
Update datasets task tags to align tags with models (#4067)
* update tasks list
* update tags in dataset cards
* more cards updates
* update dataset tags parser
* fix multi-choice-qa
* style
* small improvements in some dataset cards
* allow certain tag fields to be empty
* update vision datasets tags
* use multi-class-image-classification and remove other tags
Commit from https://github.com/huggingface/datasets/commit/edb4411d4e884690b8b328dba4360dbda6b3cbc8
