Hi, I want to evaluate my model with Librespeech dataset 





Train.500
Train.360
Train.100
Valid
Test




clean
-
104014
28539
2703
2620


other
148688
-
-
2864
2939



I don’t need train.500, train.360, train.100 and valid set. Is there any way to load only test set from librispeech_asr?
I can load all data and only keep test set later but it takes too long to load all data :(( So I want to load only test set.
from datasets import load_dataset, DatasetDict

# It takes forever to load everything here... 
libre_dataset = load_dataset("librispeech_asr", 'clean')

keep = ["test"]
libre_dataset = DatasetDict({k: dataset for k, dataset in libre_dataset .items() if k in keep})

Thanks for reading!