# The Multi-Genre Natural Language Inference

[[Original Paper](https://arxiv.org/abs/1704.05426)] [[Original Dataset](https://cims.nyu.edu/~sbowman/multinli)] [[Dataset Download](https://storage.depia.wiki/idmultinli/)]


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.

## Citation

```bibtex
@misc{williams2018broadcoverage,
      title={A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference}, 
      author={Adina Williams and Nikita Nangia and Samuel R. Bowman},
      year={2018},
      eprint={1704.05426},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}
```