Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
csv
Sub-tasks:
natural-language-inference
Languages:
English
Size:
10K - 100K
License:
| license: mit | |
| task_ids: | |
| - natural-language-inference | |
| task_categories: | |
| - text-classification | |
| language: | |
| - en | |
| https://github.com/Aatlantise/syntactic-augmentation-nli/tree/master/datasets | |
| ``` | |
| @inproceedings{min-etal-2020-syntactic, | |
| title = "Syntactic Data Augmentation Increases Robustness to Inference Heuristics", | |
| author = "Min, Junghyun and | |
| McCoy, R. Thomas and | |
| Das, Dipanjan and | |
| Pitler, Emily and | |
| Linzen, Tal", | |
| booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics", | |
| month = jul, | |
| year = "2020", | |
| address = "Online", | |
| publisher = "Association for Computational Linguistics", | |
| url = "https://aclanthology.org/2020.acl-main.212", | |
| doi = "10.18653/v1/2020.acl-main.212", | |
| pages = "2339--2352", | |
| } | |
| ``` |