README.md

metadata

license: mit

Multilingual e-SNLI (MLe-SNLI)

We provide the train, dev, and test sets. For more details, find our report here.

Dataset details

Download Instructions

To access MLe-SNLI, you can use the HuggingFace Datasets API to load the dataset:

from datasets import load_dataset

mle_snli = load_dataset("rish16/MLe-SNLI") # loads a DatasetDict object
train_data = mle_snli['train'] # 500K samples (100K per lang)
dev_data = mle_snli['dev'] # 49120 samples (9824 per lang)
test_data = mle_snli['test'] # 49120 samples (9824 per lang)


print (mle_snli)
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