--- task_categories: - multiple-choice language: - ko tags: - Culture - Language size_categories: - 1K

CLIcK πŸ‡°πŸ‡·πŸ§ 

Evaluation of Cultural and Linguistic Intelligence in Korean

Dataset Paper

## Introduction πŸŽ‰ 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. ## News πŸ“° - **[LREC-COLING]** Our paper introducing CLIcK has been accepted to LREC-COLING 2024!πŸŽ‰ ## Dataset Description πŸ“Š The CLIcK benchmark comprises two broad categories: Culture and Language, which are further divided into 11 fine-grained subcategories. ### Categories πŸ“‚ - **Language** πŸ—£οΈ - Textual Knowledge - Grammatical Knowledge - Functional Knowledge - **Culture** 🌍 - Korean Society - Korean Tradition - Korean Politics - Korean Economy - Korean Law - Korean History - Korean Geography - Korean Popular Culture (K-Pop) ### Construction πŸ—οΈ CLIcK was developed using two human-centric approaches: 1. Reclassification of **official and well-designed exam data** into our defined categories. 2. Generation of questions using ChatGPT, based on **official educational materials** from the Korean Ministry of Justice, followed by our own validation process. ### Structure πŸ›οΈ The dataset is organized as follows, with each subcategory containing relevant JSON files: ``` πŸ“¦CLIcK └─ Dataset β”œβ”€ Culture β”‚ β”œβ”€ [Each cultural subcategory with associated JSON files] └─ Language β”œβ”€ [Each language subcategory with associated JSON files] ``` ### Exam Code Descriptions πŸ“œ - KIIP: Korea Immigration & Integration Program ([Website](www.immigration.go.kr)) - CSAT: College Scholastic Ability Test for Korean ([Website](https://www.suneung.re.kr/)) - Kedu: Test of Teaching Korean as a Foreign Language exams ([Website](https://www.q-net.or.kr/man001.do?gSite=L&gId=36)) - PSE: Public Service Exam for 9th grade - TOPIK: Test of Proficiency in Korean ([Website](https://www.topik.go.kr/)) - KHB: Korean History Exam Basic ([Website](https://www.historyexam.go.kr/)) - PSAT: Public Service Aptitude Test in Korea ## Results | Models | Average Accuracy (Korean Culture) | Average Accuracy (Korean Language) | |-------------------|-----------------------------------|------------------------------------| | Polyglot-Ko 1.3B | 32.71% | 22.88% | | Polyglot-Ko 3.8B | 32.90% | 22.38% | | Polyglot-Ko 5.8B | 33.14% | 23.27% | | Polyglot-Ko 12.8B | 33.40% | 22.24% | | KULLM 5.8B | 33.79% | 23.50% | | KULLM 12.8B | 33.51% | 23.78% | | KoAlpaca 5.8B | 32.33% | 23.87% | | KoAlpaca 12.8B | 33.80% | 22.42% | | LLaMA-Ko 7B | 33.26% | 25.69% | | LLaMA 7B | 35.44% | 27.17% | | LLaMA 13B | **36.22%** | **26.71%** | | GPT-3.5 | 49.30% | 42.32% | | Claude2 | **51.72%** | **45.39%** | ## Dataset Link πŸ”— The CLIcK dataset is available on the Hugging Face Hub: [CLIcK Dataset](https://huggingface.co/datasets/your_username/CLIcK) ## Citation πŸ“ If you use CLIcK in your research, please cite our paper: ```bibtex @misc{kim2024click, title={CLIcK: A Benchmark Dataset of Cultural and Linguistic Intelligence in Korean}, author={Eunsu Kim and Juyoung Suk and Philhoon Oh and Haneul Yoo and James Thorne and Alice Oh}, year={2024}, eprint={2403.06412}, archivePrefix={arXiv}, primaryClass={cs.CL} } ``` ## Contact πŸ“§ For any questions or inquiries, please contact [kes0317@kaist.ac.kr](mailto:kes0317@kaist.ac.kr).