multi_nli_mismatch

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.

多类型自然语言推理（MultiNLI）语料库系一项由众包产生的包含43.3万句子对的集合，这些句子对均标注了文本蕴涵信息。该语料库以SNLI语料库为原型，然而，它涵盖了口语和书面文本的多种类型，并支持独特的跨类型泛化评估。该语料库构成了在哥本哈根举办的EMNLP 2017研讨会RepEval 2017联合任务的基石。