Title: XNLIeu: a dataset for cross-lingual NLI in Basque
Abstract: https://arxiv.org/abs/2404.06996
XNLI is a popular Natural Language Inference (NLI) benchmark widely used to evaluate cross-lingual Natural Language Understanding (NLU) capabilities across languages. In this paper, we expand XNLI to include Basque, a low-resource language that can greatly benefit from transfer-learning approaches. The new dataset, dubbed XNLIeu, has been developed by first machine-translating the English XNLI corpus into Basque, followed by a manual post-edition step. We have conducted a series of experiments using mono- and multilingual LLMs to assess a) the effect of professional post-edition on the MT system; b) the best cross-lingual strategy for NLI in Basque; and c) whether the choice of the best cross-lingual strategy is influenced by the fact that the dataset is built by translation. The results show that post-edition is necessary and that the translate-train cross-lingual strategy obtains better results overall, although the gain is lower when tested in a dataset that has been built natively from scratch. Our code and datasets are publicly available under open licenses at https://github.com/hitz-zentroa/xnli-eu.
Homepage: https://github.com/hitz-zentroa/xnli-eu
### Citation
```bibtex
@misc{heredia2024xnlieu,
title={XNLIeu: a dataset for cross-lingual NLI in Basque},
author={Maite Heredia and Julen Etxaniz and Muitze Zulaika and Xabier Saralegi and Jeremy Barnes and Aitor Soroa},
year={2024},
eprint={2404.06996},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
```
### Groups and Tasks
#### Groups
*`xnli_eu_mt_native`: Includes MT and Native variants of the XNLIeu dataset.
#### Tasks
*`xnli_eu`: XNLI in Basque postedited from MT.
*`xnli_eu_mt`: XNLI in Basque machine translated from English.
*`xnli_eu_native`: XNLI in Basque natively created.
### Checklist
For adding novel benchmarks/datasets to the library:
* [x] Is the task an existing benchmark in the literature?
* [x] Have you referenced the original paper that introduced the task?
* [x] 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?
