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Dataset: multi_nli 🏷
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How to load this dataset directly with the πŸ€—/datasets library:

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from datasets import load_dataset dataset = load_dataset("multi_nli")


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 distinctive cross-genre generalization evaluation. The corpus served as the basis for the shared task of the RepEval 2017 Workshop at EMNLP in Copenhagen.


  author = {Williams, Adina
            and Nangia, Nikita
            and Bowman, Samuel},
  title = {A Broad-Coverage Challenge Corpus for
           Sentence Understanding through Inference},
  booktitle = {Proceedings of the 2018 Conference of
               the North American Chapter of the
               Association for Computational Linguistics:
               Human Language Technologies, Volume 1 (Long
  year = {2018},
  publisher = {Association for Computational Linguistics},
  pages = {1112--1122},
  location = {New Orleans, Louisiana},
  url = {}

Models trained or fine-tuned on multi_nli