| dataset_info: | |
| features: | |
| - name: Utterance | |
| dtype: string | |
| - name: politeness | |
| dtype: float64 | |
| - name: language | |
| dtype: string | |
| - name: __index_level_0__ | |
| dtype: int64 | |
| splits: | |
| - name: train | |
| num_bytes: 4954742 | |
| num_examples: 18238 | |
| - name: validation | |
| num_bytes: 619659 | |
| num_examples: 2280 | |
| - name: test | |
| num_bytes: 619627 | |
| num_examples: 2280 | |
| download_size: 3919716 | |
| dataset_size: 6194028 | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: data/train-* | |
| - split: validation | |
| path: data/validation-* | |
| - split: test | |
| path: data/test-* | |
| # Dataset Card for "multilingual_politeness" | |
| Please cite the following paper if you use our dataset :) | |
| ``` | |
| @inproceedings{havaldar-etal-2023-comparing, | |
| title = "Comparing Styles across Languages", | |
| author = "Havaldar, Shreya and Pressimone, Matthew and Wong, Eric and Ungar, Lyle", | |
| booktitle = "Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing", | |
| year = "2023", | |
| publisher = "Association for Computational Linguistics", | |
| url = "https://aclanthology.org/2023.emnlp-main.419" | |
| } | |
| ``` |