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Korean datasets
archive 2025-07-28
68 datasets carry the language tag "Korean", ordered by the archive's paper count. Page 2 of 2: 20 shown of 68. Facet routes are this site's own (the archive records the tag string, not a page).
The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.
Filter 50 language tags shown of 367, by dataset count; the full filter by modality, task and language is on /datasets
Korean datasets 49–68 of 68
Kor-Learner is a Korean grammatical error correction (GEC) dataset made from the NIKL learner corpus containing essays written by Korean learners and their grammatical error correction annotations by their tutors in an morpheme-level XML…
1 paper · 0 benchmarks
Kor-Learner is a Korean grammatical error correction (GEC) dataset collected grammatically from two sources, and the correct sentences were read using Google Text-to-Speech(TTS) system.
1 paper · 0 benchmarks
APEACH is the first crowd-generated Korean evaluation dataset for hate speech detection.
1 paper · 0 benchmarks
1.9K Korean Online Hate Speech Comments for Multilabel Classification (Annotated by Three Independent Labelers per Data)
1 paper · 0 benchmarks
LEMONADE is a large, expert-annotated dataset for event extraction from news articles in 20 languages: English, Spanish, Arabic, French, Italian, Russian, German, Turkish, Burmese, Indonesian, Ukrainian, Korean, Portuguese, Dutch, Somali,…
1 paper · 0 benchmarks
MVALUE (Multilingual human VALUE dataset)
Multilingual human VALUE(MVALUE) is a multilingual dataset covering 7 concepts of human values: morality, deontology, utilitarianism, fairness, truthfulness, toxicity and harmfulness, each concept subset of it includes positive and…
1 paper · 0 benchmarks
Mega-COV is a billion-scale dataset from Twitter for studying COVID-19.
1 paper · 0 benchmarks
Mint (Multilingual Intimacy analysis)
Mint is a new Multilingual intimacy analysis dataset covering 13,384 tweets in 10 languages including English, French, Spanish, Italian, Portuguese, Korean, Dutch, Chinese, Hindi, and Arabic.
1 paper · 0 benchmarks
This dataset contains orthographic samples of words in 19 languages (ar, br, de, en, eno, ent, eo, es, fi, fr, fro, it, ko, nl, pt, ru, sh, tr, zh).
1 paper · 0 benchmarks
Poly-FEVER is a multilingual fact verification benchmark designed to evaluate hallucination detection in large language models (LLMs).
1 paper · 0 benchmarks
PolyNews is a multilingual dataset containing news titles in 77 languages and 19 scripts.
1 paper · 0 benchmarks
PolyNews is a multilingual parallel dataset containing news titles 833 language pairs, spanning in 64 languages and 17 scripts.
1 paper · 0 benchmarks
533 parallel examples sampled from TACRED, translated into Russian and Korean (and 3 additional examples in Russian), accompanied with tranlsation of a list of trigger words collected for the different relations.
1 paper · 0 benchmarks
WEATHub is a dataset containing 24 languages.
1 paper · 0 benchmarks
WiTA (Writing in The Air)
WiTA (Writing in The Air) is a dataset for the challenging writing in the air (WiTA) task -- an elaborate task bridging vision and NLP.
1 paper · 0 benchmarks
Vision Language Models (VLMs) often struggle with culture-specific knowledge, particularly in languages other than English and in underrepresented cultural contexts.
1 paper · 0 benchmarks
Deeply Korean read speech corpus contains pairs of Korean speakers reading a script with 3 distinct text sentiments (negative, neutral, positive), with 3 distinct voice sentiments (negative, neutral, positive), are recorded.
0 papers · 0 benchmarks
Deeply Parent-Child Vocal Interaction contains the interaction of 24 pairs of parent and child(total 48 speakers), such as reading fairy tales, singing children’s songs, conversing, and others, is recorded.
0 papers · 0 benchmarks
NSMC (Naver Sentiment Movie Corpus)
This is a movie review dataset in the Korean language.
0 papers · 0 benchmarks
THVD (Talking Head Video Dataset)
About We provide a comprehensive talking-head video dataset with over 50,000 videos, totaling more than 500+ hours of footage and featuring 20,841 unique identities from around the world.
0 papers · 0 benchmarks
Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.