jcblaise/newsph_nli download history

jcblaise/newsph_nli is a text classification dataset on the Hugging Face Hub. In the last 30 days it was downloaded 204 times (50 in the last 7 days), and 31,574 times in total. It ranks #66,511 among datasets by monthly downloads.

First benchmark dataset for sentence entailment in the low-resource Filipino language. Constructed through exploting the structure of news articles. Contains 600,000 premise-hypothesis pairs, in 70-15-15 split for training, validation, and testing.

Models trained on newsph_nli

1 models list it as training data.

Open jcblaise/newsph_nli on Hugging Face