| | --- |
| | language: |
| | - ko |
| | license: cc-by-nc-sa-4.0 |
| | tags: |
| | - dialogue |
| | - conversation |
| | - evaluation |
| | annotations_creators: |
| | - found |
| | - machine-generated |
| | pretty_name: KoDialogBench |
| | size_categories: |
| | - 10K<n<100K |
| | source_datasets: |
| | - daily_dialog |
| | - empathetic_dialogues |
| | - bavard/personachat_truecased |
| | - socialdial |
| | - aihub/k-sns |
| | - aihub/k-tdd |
| | - aihub/k-ed |
| | - aihub/k-ds |
| | task_categories: |
| | - multiple-choice |
| | configs: |
| | - config_name: dc_topic_k-sns |
| | data_files: |
| | - split: test |
| | path: dialogue_comprehension/topic/k-sns/test.jsonl |
| | - config_name: dc_topic_k-tdd |
| | data_files: |
| | - split: test |
| | path: dialogue_comprehension/topic/k-tdd/test.jsonl |
| | - config_name: dc_topic_socialdial |
| | data_files: |
| | - split: test |
| | path: dialogue_comprehension/topic/socialdial/test.jsonl |
| | - config_name: dc_emotion_k-ed |
| | data_files: |
| | - split: test |
| | path: dialogue_comprehension/emotion/k-ed/test.jsonl |
| | - config_name: dc_emotion_dailydialog |
| | data_files: |
| | - split: test |
| | path: dialogue_comprehension/emotion/dailydialog/test.jsonl |
| | - config_name: dc_emotion_empathetic |
| | data_files: |
| | - split: test |
| | path: dialogue_comprehension/emotion/empathetic_dialogues/test.jsonl |
| | - config_name: dc_relation_socialdial-distance |
| | data_files: |
| | - split: test |
| | path: dialogue_comprehension/relation/socialdial_distance/test.jsonl |
| | - config_name: dc_relation_socialdial-relation |
| | data_files: |
| | - split: test |
| | path: dialogue_comprehension/relation/socialdial_relation/test.jsonl |
| | - config_name: dc_location_socialdial |
| | data_files: |
| | - split: test |
| | path: dialogue_comprehension/location/socialdial/test.jsonl |
| | - config_name: dc_dialog_act_k-tdd |
| | data_files: |
| | - split: test |
| | path: dialogue_comprehension/dialog_act/k-tdd/test.jsonl |
| | - config_name: dc_dialog_act_dailydialog |
| | data_files: |
| | - split: test |
| | path: dialogue_comprehension/dialog_act/dailydialog/test.jsonl |
| | - config_name: dc_fact_k-ds |
| | data_files: |
| | - split: test |
| | path: dialogue_comprehension/fact/k-ds/test.jsonl |
| | - config_name: dc_fact_personachat |
| | data_files: |
| | - split: test |
| | path: dialogue_comprehension/fact/personachat/test.jsonl |
| | - config_name: dc_fact_empathetic |
| | data_files: |
| | - split: test |
| | path: dialogue_comprehension/fact/empathetic_dialogues/test.jsonl |
| | - config_name: rs_k-sns |
| | data_files: |
| | - split: test |
| | path: response_selection/k-sns/test.jsonl |
| | - config_name: rs_k-tdd |
| | data_files: |
| | - split: test |
| | path: response_selection/k-tdd/test.jsonl |
| | - config_name: rs_k-ed |
| | data_files: |
| | - split: test |
| | path: response_selection/k-ed/test.jsonl |
| | - config_name: rs_personachat |
| | data_files: |
| | - split: test |
| | path: response_selection/personachat/test.jsonl |
| | - config_name: rs_dailydialog |
| | data_files: |
| | - split: test |
| | path: response_selection/dailydialog/test.jsonl |
| | - config_name: rs_empathetic |
| | data_files: |
| | - split: test |
| | path: response_selection/empathetic_dialogues/test.jsonl |
| | - config_name: rs_socialdial |
| | data_files: |
| | - split: test |
| | path: response_selection/socialdial/test.jsonl |
| | --- |
| | |
| | ⚠️NOTE: We can't release the datasets originated from AI Hub (K-SNS, K-TDD, K-ED, K-DS) for now, according to the [Terms of Use](https://www.aihub.or.kr/intrcn/guid/usagepolicy.do?currMenu=151&topMenu=105). |
| | We're in consultation with the relevant organizations and will make these public in the appropriate form soon. |
| |
|
| | # Dataset Card for KoDialogBench |
| |
|
| | For most of detailed information, please refer to the following: |
| | - **Paper:** [KoDialogBench: Evaluating Conversational Understanding of |
| | Language Models with Korean Dialogue Benchmark](https://arxiv.org/abs/2402.17377) |
| | - **Repository:** [GitHub](https://github.com/sb-jang/kodialogbench) |
| |
|
| | ## Dataset Details |
| |
|
| | ### Dataset Description |
| |
|
| | KoDialogBench is a benchmark designed to assess the conversational capabilities of language models in Korean language. |
| | To this end, we collected native Korean dialogues on daily topics from public sources (e.g., AI Hub), or translated dialogues from other languages such as English and Chinese. |
| | We then structured these conversations into diverse test datasets, spanning from dialogue comprehension to response selection tasks. |
| | This benchmark consists of 21 test sets, encompassing various aspects of open-domain colloquial dialogues (e.g., topic, emotion, dialog act). |
| |
|
| | ### Data Sources |
| |
|
| | We collected native Korean dialogues from AI Hub: |
| | - [K-SNS](https://www.aihub.or.kr/aihubdata/data/view.do?currMenu=&topMenu=&aihubDataSe=data&dataSetSn=114) stands for Korean SNS (한국어 SNS) |
| | - [K-TDD](https://www.aihub.or.kr/aihubdata/data/view.do?currMenu=&topMenu=&aihubDataSe=data&dataSetSn=543) stands for Thematic Daily Dialogues (주제별 텍스트 일상 대화 데이터) |
| | - [K-ED](https://www.aihub.or.kr/aihubdata/data/view.do?currMenu=&topMenu=&aihubDataSe=data&dataSetSn=86) stands for Emotional Dialogues (감성 대화 말뭉치) |
| | - [K-DS](https://www.aihub.or.kr/aihubdata/data/view.do?currMenu=&topMenu=&aihubDataSe=data&dataSetSn=117) stands for Dialogue Summary (한국어 대화 요약) |
| |
|
| | We translated public datasets from other languages: |
| | - [DailyDialog](https://huggingface.co/datasets/daily_dialog) from "[DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset](https://aclanthology.org/I17-1099/)" |
| | - [Empathetic Dialogues](https://huggingface.co/datasets/empathetic_dialogues) from "[Towards Empathetic Open-domain Conversation Models: A New Benchmark and Dataset](https://aclanthology.org/P19-1534/)" |
| | - [PersonaChat](https://huggingface.co/datasets/bavard/personachat_truecased) from "[Personalizing Dialogue Agents: I have a dog, do you have pets too?](https://aclanthology.org/P18-1205/)" |
| | - [SocialDial](https://github.com/zhanhl316/SocialDial/blob/main/human_dialogue_data.json) from "[SocialDial: A Benchmark for Socially-Aware Dialogue Systems](https://dl.acm.org/doi/10.1145/3539618.3591877)" |
| |
|
| | ### Data Creation |
| |
|
| | We utilized diverse meta information such as dialogue topic and speaker's emotion which was already annotated in the original datasets to formulate dialogue-related multiple-choice questions. |
| | To prevent label imbalance, we sampled the equal number of examples from each class. |
| |
|
| | ### Statistics |
| |
|
| | The dataset has 82,962 examples in total. |
| |
|
| | | Task | Subtask | Source | # Options | # Examples | |
| | |------------------------|---------------------------|-----------------------|-----------|------------| |
| | | Dialogue Comprehension | Topic Classification | K-SNS | 6 | 1200 | |
| | | Dialogue Comprehension | Topic Classification | K-TDD | 19 | 1900 | |
| | | Dialogue Comprehension | Topic Classification | SocialDial | 4 | 400 | |
| | | Dialogue Comprehension | Emotion Recognition | K-ED | 6 | 1200 | |
| | | Dialogue Comprehension | Emotion Recognition | DailyDialog | 5 | 470 | |
| | | Dialogue Comprehension | Emotion Recognition | Empathetic Dialogues | 2 | 2000 | |
| | | Dialogue Comprehension | Relation Classification | SocialDial (Distance) | 4 | 524 | |
| | | Dialogue Comprehension | Relation Classification | SocialDial (Relation) | 3 | 330 | |
| | | Dialogue Comprehension | Location Classification | SocialDial | 4 | 376 | |
| | | Dialogue Comprehension | Dialog Act Classification | K-TDD | 4 | 520 | |
| | | Dialogue Comprehension | Dialog Act Classification | DailyDialog | 4 | 1000 | |
| | | Dialogue Comprehension | Fact Identification | K-DS | 4 | 1200 | |
| | | Dialogue Comprehension | Fact Identification | PersonaChat | 4 | 1000 | |
| | | Dialogue Comprehension | Fact Identification | Empathetic Dialogues | 4 | 2394 | |
| | | Response Selection | | K-SNS | 5 | 10295 | |
| | | Response Selection | | K-TDD | 5 | 10616 | |
| | | Response Selection | | K-ED | 5 | 17818 | |
| | | Response Selection | | PersonaChat | 5 | 7801 | |
| | | Response Selection | | DailyDialog | 5 | 6740 | |
| | | Response Selection | | Empathetic Dialogues | 5 | 7941 | |
| | | Response Selection | | SocialDial | 5 | 7237 | |
| |
|
| |
|
| |
|
| | ## Limitations |
| |
|
| | Our benchmark may suffer from a chronic problem of benchmark contamination. |
| | Due to the scarcity of Korean language resources, there is a possibility that the held-out sources utilized to construct the benchmark might overlap with training data used for some language models. |
| |
|
| | ## Ethics Statement |
| |
|
| | Our benchmark dataset is designed to assess capabilities related to various situations and aspects of conversations in Korean language. |
| | To achieve this, we utilized conversational content from publicly available datasets from various sources, either without modification or with translation if necessary. |
| | During this process, there is a possibility that harmful content or inappropriate biases existing in the original data may have been conveyed, or may have arisen due to limitations of translation tools. |
| | We reject any form of violence, discrimination, or offensive language, and our benchmark dataset and experimental results does not represent such values. |
| | If any harmful content or privacy infringement is identified within the dataset, we kindly request immediate notification to the authors. |
| | In the event of such cases being reported, we will apply the highest ethical standards and take appropriate actions. |
| |
|
| | ## Citation |
| |
|
| | **BibTeX:** |
| |
|
| | ```bibtex |
| | @misc{jang2024kodialogbench, |
| | title={KoDialogBench: Evaluating Conversational Understanding of Language Models with Korean Dialogue Benchmark}, |
| | author={Seongbo Jang and Seonghyeon Lee and Hwanjo Yu}, |
| | year={2024}, |
| | eprint={2402.17377}, |
| | archivePrefix={arXiv}, |
| | primaryClass={cs.CL} |
| | } |
| | ``` |
| |
|
| | ## Point of Contact |
| |
|
| | [Seongbo Jang](mailto:jang.sb@postech.ac.kr) |
