title = "{PAWS}-{X}: A Cross-lingual Adversarial Dataset for Paraphrase Identification",
author = "Yang, Yinfei and
Zhang, Yuan and
Tar, Chris and
Baldridge, Jason",
booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)",
month = nov,
year = "2019",
address = "Hong Kong, China",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/D19-1382",
doi = "10.18653/v1/D19-1382",
pages = "3687--3692",
}
```
### Groups and Tasks
#### Groups
*`pawsx`
#### Tasks
*`paws_de`: German
*`paws_en`: English
*`paws_es`: Spanish
*`paws_fr`: French
*`paws_ja`: Japanese
*`paws_ko`: Korean
*`paws_zh`: Chinese
### Checklist
For adding novel benchmarks/datasets to the library:
* [ ] Is the task an existing benchmark in the literature?
* [ ] Have you referenced the original paper that introduced the task?
* [ ] If yes, does the original paper provide a reference implementation? If so, have you checked against the reference implementation and documented how to run such a test?
If other tasks on this dataset are already supported:
* [ ] Is the "Main" variant of this task clearly denoted?
* [ ] Have you provided a short sentence in a README on what each new variant adds / evaluates?
* [ ] Have you noted which, if any, published evaluation setups are matched by this variant?
