# Open Korean Corpora: A Practical Report

arXiv: https://arxiv.org/abs/2012.15621 · HTML: https://mlsanity.com/paper/2012.15621/

## Key facts

- Cited by 6 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 31 Dec 2020.

## Built on by (most cited first, 6 of 6)

- [KLUE: Korean Language Understanding Evaluation](https://mlsanity.com/paper/2105.09680/) (2021)
- [Kosp2e: Korean Speech to English Translation Corpus](https://mlsanity.com/paper/2107.02875/) (2021)
- [A Survey on Awesome Korean NLP Datasets](https://mlsanity.com/paper/2112.01624/) (2021)
- [Open Korean Historical Corpus: A Millennia-Scale Diachronic Collection of Public Domain Texts](https://mlsanity.com/paper/2510.24541/) (2025)
- [Korean Tokenization for Beam Search Rescoring in Speech Recognition](https://mlsanity.com/paper/2203.03583/) (2022)
- [No Language Data Left Behind: A Comparative Study of CJK Language Datasets in the Hugging Face Ecosystem](https://mlsanity.com/paper/2507.04329/) (2025)

## Abstract (arXiv)

Korean is often referred to as a low-resource language in the research community. While this claim is partially true, it is also because the availability of resources is inadequately advertised and curated. This work curates and reviews a list of Korean corpora, first describing institution-level resource development, then further iterate through a list of current open datasets for different types of tasks. We then propose a direction on how open-source dataset construction and releases should be done for less-resourced languages to promote research.