nyu-mll/multi_nli_mismatch download history
nyu-mll/multi_nli_mismatch is a text classification dataset on the Hugging Face Hub. In the last 30 days it was downloaded 191 times (49 in the last 7 days), and 77,268 times in total. It ranks #70,088 among datasets by monthly downloads.
The Multi-Genre Natural Language Inference (MultiNLI) corpus is a crowd-sourced collection of 433k sentence pairs annotated with textual entailment information. The corpus is modeled on the SNLI corpus, but differs in that covers a range of genres of spoken and written text, and supports a distincti
Models trained on multi_nli_mismatch
1 models list it as training data.
- davidschulte/ESM_multi_nli_mismatch_plain_text 7 downloads in 30 days