Datasets › KorSTS

KorSTS

Introduced by Jiyeon Ham et al. in KorNLI and KorSTS: New Benchmark Datasets for Korean Natural Language Understanding archive 2025-07-28

KorSTS is a dataset for semantic textural similarity (STS) in Korean. The dataset is constructed by automatically the STS-B dataset. To ensure translation quality, two professional translators with at least seven years of experience who specialize in academic papers/books as well as business contracts post-edited a half of the dataset each and cross-checked each other’s translation afterward. The KorSTS dataset comprises 5,749 training examples translated automatically and 2,879 evaluation examples translated manually.

Source: https://github.com/kakaobrain/KorNLUDatasets Image Source: https://github.com/kakaobrain/KorNLUDatasets

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 13 papers for it but never published that list.

Dataset loaders archive 2025-07-28

1 loader as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • KorSTS

1 variant name, as the archive lists them.

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections