Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
csv
Sub-tasks:
natural-language-inference
Languages:
English
Size:
10K - 100K
License:
|
Download README.md from tasksource/syntactic-augmentation-nli: direct link, hf CLI and curl.
- Browser
- Download file 813 Bytes
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https://huggingface.co/datasets/tasksource/syntactic-augmentation-nli/resolve/main/README.md
- Command line
-
hf download hf://datasets/tasksource/syntactic-augmentation-nli/README.md
-
curl -L -o README.md https://huggingface.co/datasets/tasksource/syntactic-augmentation-nli/resolve/main/README.md
813 Bytes
metadata
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",
}