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{
"citation": "@inproceedings{snli:emnlp2015,\n\tAuthor = {Bowman, Samuel R. and Angeli, Gabor and Potts, Christopher, and Manning, Christopher D.},\n\tBooktitle = {Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP)},\n\tPublisher = {Association for Computational Linguistics},\n\tTitle = {A large annotated corpus for learning natural language inference},\n\tYear = {2015}\n}",
"description": "The SNLI corpus (version 1.0) is a collection of 570k human-written English\nsentence pairs manually labeled for balanced classification with the labels\nentailment, contradiction, and neutral, supporting the task of natural language\ninference (NLI), also known as recognizing textual entailment (RTE).",
"features": {
"sentence1": {
"dtype": "string",
"_type": "Value"
},
"sentence2": {
"dtype": "string",
"_type": "Value"
},
"label": {
"dtype": "string",
"_type": "Value"
}
},
"homepage": "https://nlp.stanford.edu/projects/snli/",
"license": ""
} |