A large annotated corpus for learning natural language inference
Bowman et al., 2015, A large annotated corpus for learning natural language inference (Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP))
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2.3 The distributed corpus
- How is SNLI split and distributed?Prespecified train/development/test splits with 10k validated examples each in development and test; each Flickr30k caption appears in only one split. It includes Stanford PCFG parses and is licensed CC BY-SA, like Flickr30k.
- Bowman et al., 2015, A large annotated corpus for learning natural language inference (Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP)), §2.3, p. 636
Source
- Samuel R. Bowman, Gabor Angeli, Christopher Potts and Christopher D. Manning. 2015. A large annotated corpus for learning natural language inference. In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 632–642. doi:10.18653/v1/D15-1075 https://aclanthology.org/D15-1075/