Loading partial dataset when debugging
Thanks all for responding.

Hey @albertvillanova 

Thanks. Yes, I would be interested.

@lhoestq I think even if a small split is specified it loads up the full dataset from the disk (please correct me if this is not the case). Because it does seem to be slow to me even on subsequent calls. There is no repeated downloading so it seems that the cache is working.

I am not aware of the streaming feature @thomwolf mentioned. So I might need to read up on it.
I am using PyTorch Lightning along with datasets (thanks for so many datasets already prepared and the great splits). 

Every time I execute load_dataset  for the imdb dataset it takes some time even if I specify a split involving very few samples. I guess this due to hashing as per the other issues.

Is there a way to only load part of the dataset on load_dataset? This would really speed up my workflow.
Something like a debug mode would really help. Thanks!
Loading partial dataset when debugging 
 I am using PyTorch Lightning along with datasets (thanks for so many datasets already prepared and the great splits). 

Every time I execute load_dataset  for the imdb dataset it takes some time even if I specify a split involving very few samples. I guess this due to hashing as per the other issues.

Is there a way to only load part of the dataset on load_dataset? This would really speed up my workflow.
Something like a debug mode would really help. Thanks! 
 Thanks all for responding.

Hey @albertvillanova 

Thanks. Yes, I would be interested.

@lhoestq I think even if a small split is specified it loads up the full dataset from the disk (please correct me if this is not the case). Because it does seem to be slow to me even on subsequent calls. There is no repeated downloading so it seems that the cache is working.

I am not aware of the streaming feature @thomwolf mentioned. So I might need to read up on it.