Dataset · Hugging Face

nyu-mll/multi_nli_mismatch

Name: multi_nli_mismatch
Creator: nyu-mll
License: cc-by-3.0
Keywords: task_categories:text-classification, task_ids:natural-language-inference, task_ids:multi-input-text-classification, annotations_creators:crowdsourced, language_creators:crowdsourced, language_creators:found, multilinguality:monolingual, source_datasets:original, language:en, license:cc-by-3.0, license:cc-by-sa-3.0, license:mit, license:other, size_categories:100K<n<1M, region:us

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.

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Author / organization	nyu-mll
License (as declared)	cc-by-3.0
Downloads	195 (as reported by Hugging Face)
Likes	8
Created	2 March 2022
Last updated at source	18 January 2024

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