{
  "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": ""
}