Allow downloading just some columns of a dataset
In the general case you can’t always reduce the quantity of data to download, since you can’t parse CSV or JSON data without downloading the whole files right ? ^^ However we could explore this case-by-case I guess Actually for csv pandas has `usecols` which allows loading a subset of columns in a more efficient way afaik, but yes, you're right this might be more complex than I thought. Bumping the visibility of this :) Is there a recommended way of doing this? Passing `columns=[...]` to `load_dataset()` in streaming mode does work if the dataset is in Parquet format, but for other formats it's either not possible or not implemented I tried using the `columns=['bambara']` on this dataset `oza75/bambara-tts` which is in parquet, but it does not work. This feature is really useful because sometimes you don't want to download the whole dataset but just a few columns. It doesn't work for the dataset with `parquet` format. Are we missing something? It only works for `streaming=True`. When not streaming it does download the full files locally before reading the data Hi @lhoestq, I have an audio dataset of 250GB on the huggingface hub in parquet format. I only wanted to load the text column. It is taking a lot of time. It seems like it is downloading audio as well even in streaming mode. 
**Is your feature request related to a problem? Please describe.**
Some people are interested in doing label analysis of a CV dataset without downloading all the images. Downloading the whole dataset does not always makes sense for this kind of use case

**Describe the solution you'd like**
Be able to just download some columns of a dataset, such as doing
```python
load_dataset("huggan/wikiart",columns=["artist", "genre"])
```

Although this might make things a bit complicated in terms of local caching of datasets.