|
--- |
|
dataset_info: |
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features: |
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- name: Utterance |
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dtype: string |
|
- name: politeness |
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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" |
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|
|
|
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This dataset has the following attributes: |
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- Utterance: a 2-3 sentence excerpt from Wikipedia editor talk pages. |
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- language: English, Spanish, Chinese, or Japanese |
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- politeness: An annotated politeness label ranging from -2 (very rude) to 2 (very polite). Each utterance was annotated by 3 native speakers. |
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|
|
|
|
|
|
Please cite the following paper if you use our dataset :) |
|
|
|
``` |
|
@inproceedings{havaldar-etal-2023-comparing, |
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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", |
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year = "2023", |
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publisher = "Association for Computational Linguistics", |
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url = "https://aclanthology.org/2023.emnlp-main.419" |
|
} |
|
``` |
