Datasets:
Modalities:
Text
Formats:
json
Sub-tasks:
conversational
Languages:
Korean
Size:
10K - 100K
Tags:
social dialogue
License:
metadata
license: cc-by-4.0
language:
- ko
pretty_name: KorEmpatheticDialogues
tags:
- social dialogue
task_ids:
- conversational
size_categories:
- 10K<n<100K
source_datasets:
- EmpatheticDialogues
splits:
- name: train
num_examples: 19531
- name: valid
num_examples: 2769
- name: test
num_examples: 2547
dataset_size: 24,847
Dataset Card for 💗 KorEmpatheticDialogues
Dataset Description
- Repository: Code
- Paper: TBD
- Point of Contact: Young-Jun Lee
Dataset Summary
KorEmpatheticDialogues is a publicly available Korean empathetic dialogue dataset translated from the original EmpatheticDialogues dataset using the DeepL translator API.
Languages
Korean
Dataset Structure
field | type | description |
---|---|---|
dialogue_id |
int | the identifier for the dialogue |
dialogue |
list of dict | the dialogue where each dict entry includes {utter_idx, utter, user_id} |
situation |
str | the emotional situation sentence |
emotion |
str | the emotion category (e.g., guilty, caring, etc) |
Citation
Please cite our work if you find the resources in this repository useful:
@inproceedings{lee2023language,
title={Language Model Evaluation Based on Korean-English Empathetic Dialogue Datasets and Personality},
author={Lee, Young-Jun and Hyeon, JongHwan and Lee, DoKyong and Sung, Joo-Won and Choi, Ho-Jin},
booktitle={Annual Conference on Human and Language Technology},
pages={312--318},
year={2023},
organization={Human and Language Technology}
}