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--- |
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task_categories: |
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- multiple-choice |
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language: |
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- ko |
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tags: |
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- Culture |
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- Language |
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size_categories: |
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- 1K<n<10K |
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configs: |
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- config_name: KL_Grammar |
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data_files: |
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- path: |
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- Dataset/Language/Grammar/Grammar_CSAT.json |
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- Dataset/Language/Grammar/Grammar_TOPIK.json |
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- Dataset/Language/Grammar/Grammar_Kedu.json |
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split: test |
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- config_name: KL_Textual |
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data_files: |
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- path: |
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- Dataset/Language/Textual/Textual_TOPIK.json |
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- Dataset/Language/Textual/Textual_CSAT.json |
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split: test |
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- config_name: KL_Functional |
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data_files: |
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- path: |
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- Dataset/Language/Functional/Functional_Kedu.json |
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- Dataset/Language/Functional/Functional_PSE.json |
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- Dataset/Language/Functional/Functional_CSAT.json |
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split: test |
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- config_name: KC_Law |
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data_files: |
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- path: |
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- Dataset/Culture/Korean Law/Law_KIIP.json |
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- Dataset/Culture/Korean Law/Law_PSAT.json |
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split: test |
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- config_name: KC_Popular |
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data_files: |
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- path: |
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- Dataset/Culture/Korean Popular/Popular_Kedu.json |
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- Dataset/Culture/Korean Popular/Popular_KIIP.json |
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split: test |
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- config_name: KC_Politics |
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data_files: |
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- path: |
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- Dataset/Culture/Korean Politics/Politics_Kedu.json |
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- Dataset/Culture/Korean Politics/Politics_KIIP.json |
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split: test |
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- config_name: KC_Geography |
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data_files: |
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- path: |
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- Dataset/Culture/Korean Geography/Geography_KIIP.json |
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- Dataset/Culture/Korean Geography/Geography_Kedu.json |
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- Dataset/Culture/Korean Geography/Geography_CSAT.json |
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split: test |
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- config_name: KC_Economy |
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data_files: |
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- path: |
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- Dataset/Culture/Korean Economy/Economy_KIIP.json |
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- Dataset/Culture/Korean Economy/Economy_Kedu.json |
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split: test |
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- config_name: KC_History |
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data_files: |
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- path: |
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- Dataset/Culture/Korean History/History_Kedu.json |
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- Dataset/Culture/Korean History/History_PSE.json |
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- Dataset/Culture/Korean History/History_KHB.json |
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split: test |
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- config_name: KC_Society |
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data_files: |
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- path: |
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- Dataset/Culture/Korean Society/Society_Kedu.json |
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- Dataset/Culture/Korean Society/Society_KIIP.json |
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split: test |
|
- config_name: KC_Tradition |
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data_files: |
|
- path: |
|
- Dataset/Culture/Korean Tradition/Tradition_Kedu.json |
|
- Dataset/Culture/Korean Tradition/Tradition_KIIP.json |
|
split: test |
|
--- |
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|
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## This dataset is the same as https://huggingface.co/datasets/EunsuKim/CLIcK. This dataset has been subdivided for simplified viewing and evaluation. |
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|
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|
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<div align="center"> |
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<h1>CLIcK 🇰🇷🧠</h1> |
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<p>Evaluation of Cultural and Linguistic Intelligence in Korean</p> |
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<p> |
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<a href="https://huggingface.co/datasets/your_username/CLIcK"><img src="https://img.shields.io/badge/Dataset-CLIcK-blue" alt="Dataset"></a> |
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<a href="https://arxiv.org/abs/2403.06412"><img src="https://img.shields.io/badge/Paper-LREC--COLING-green" alt="Paper"></a> |
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</p> |
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</div> |
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|
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## Introduction 🎉 |
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|
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CLIcK (Cultural and Linguistic Intelligence in Korean) is a comprehensive dataset designed to evaluate cultural and linguistic intelligence in the context of Korean language models. In an era where diverse language models are continually emerging, there is a pressing need for robust evaluation datasets, especially for non-English languages like Korean. CLIcK fills this gap by providing a rich, well-categorized dataset focusing on both cultural and linguistic aspects, enabling a nuanced assessment of Korean language models. |
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|
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## News 📰 |
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- **[LREC-COLING]** Our paper introducing CLIcK has been accepted to LREC-COLING 2024!🎉 |
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## Dataset Description 📊 |
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The CLIcK benchmark comprises two broad categories: Culture and Language, which are further divided into 11 fine-grained subcategories. |
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|
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### Categories 📂 |
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|
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- **Language** 🗣️ |
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- Textual Knowledge |
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- Grammatical Knowledge |
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- Functional Knowledge |
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|
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- **Culture** 🌍 |
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- Korean Society |
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- Korean Tradition |
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- Korean Politics |
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- Korean Economy |
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- Korean Law |
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- Korean History |
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- Korean Geography |
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- Korean Popular Culture (K-Pop) |
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### Construction 🏗️ |
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CLIcK was developed using two human-centric approaches: |
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1. Reclassification of **official and well-designed exam data** into our defined categories. |
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2. Generation of questions using ChatGPT, based on **official educational materials** from the Korean Ministry of Justice, followed by our own validation process. |
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|
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### Structure 🏛️ |
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The dataset is organized as follows, with each subcategory containing relevant JSON files: |
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|
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``` |
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📦CLIcK |
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└─ Dataset |
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├─ Culture |
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│ ├─ [Each cultural subcategory with associated JSON files] |
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└─ Language |
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├─ [Each language subcategory with associated JSON files] |
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``` |
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|
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### Exam Code Descriptions 📜 |
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- KIIP: Korea Immigration & Integration Program ([Website](www.immigration.go.kr)) |
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- CSAT: College Scholastic Ability Test for Korean ([Website](https://www.suneung.re.kr/)) |
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- Kedu: Test of Teaching Korean as a Foreign Language exams ([Website](https://www.q-net.or.kr/man001.do?gSite=L&gId=36)) |
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- PSE: Public Service Exam for 9th grade |
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- TOPIK: Test of Proficiency in Korean ([Website](https://www.topik.go.kr/)) |
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- KHB: Korean History Exam Basic ([Website](https://www.historyexam.go.kr/)) |
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- PSAT: Public Service Aptitude Test in Korea |
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|
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## Results |
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|
|
| Models | Average Accuracy (Korean Culture) | Average Accuracy (Korean Language) | |
|
|-------------------|-----------------------------------|------------------------------------| |
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| Polyglot-Ko 1.3B | 32.71% | 22.88% | |
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| Polyglot-Ko 3.8B | 32.90% | 22.38% | |
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| Polyglot-Ko 5.8B | 33.14% | 23.27% | |
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| Polyglot-Ko 12.8B | 33.40% | 22.24% | |
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| KULLM 5.8B | 33.79% | 23.50% | |
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| KULLM 12.8B | 33.51% | 23.78% | |
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| KoAlpaca 5.8B | 32.33% | 23.87% | |
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| KoAlpaca 12.8B | 33.80% | 22.42% | |
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| LLaMA-Ko 7B | 33.26% | 25.69% | |
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| LLaMA 7B | 35.44% | 27.17% | |
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| LLaMA 13B | **36.22%** | **26.71%** | |
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| GPT-3.5 | 49.30% | 42.32% | |
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| Claude2 | **51.72%** | **45.39%** | |
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|
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## Dataset Link 🔗 |
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|
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The CLIcK dataset is available on the Hugging Face Hub: [CLIcK Dataset](https://huggingface.co/datasets/your_username/CLIcK) |
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|
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## Citation 📝 |
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|
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If you use CLIcK in your research, please cite our paper: |
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|
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```bibtex |
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@misc{kim2024click, |
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title={CLIcK: A Benchmark Dataset of Cultural and Linguistic Intelligence in Korean}, |
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author={Eunsu Kim and Juyoung Suk and Philhoon Oh and Haneul Yoo and James Thorne and Alice Oh}, |
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year={2024}, |
|
eprint={2403.06412}, |
|
archivePrefix={arXiv}, |
|
primaryClass={cs.CL} |
|
} |
|
``` |
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|
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## Contact 📧 |
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|
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For any questions or inquiries, please contact [[email protected]](mailto:[email protected]). |
