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metadata
license: cc-by-sa-4.0
dataset_info:
  features:
    - name: id
      dtype: int64
    - name: genre
      dtype: string
    - name: sentence1
      dtype: string
    - name: sentence2
      dtype: string
    - name: score
      dtype: float64
    - name: __index_level_0__
      dtype: int64
  splits:
    - name: train
      num_bytes: 1080343
      num_examples: 5691
    - name: valid
      num_bytes: 308974
      num_examples: 1465
    - name: test
      num_bytes: 258417
      num_examples: 1376
  download_size: 886150
  dataset_size: 1647734

Korean Semantic Textual Similarity (KorSTS) Dataset

For a better dataset description, please visit this GitHub repository prepared by the authors of the article: LINK
This dataset was prepared by converting tsv files from this repository. The idea was to share the dataset for broader audience. I am not an original author of it.
Because of the specifity of read_csv method from Pandas library, there are couple of observations, which had to be deleted because of the formatting (54 in train, 35 in valid, and 1 in test)

How to download

from datasets import load_dataset
data = load_dataset("dkoterwa/kor-sts")

If you use this dataset for research, please cite this paper:

@article{ham2020kornli,
  title={KorNLI and KorSTS: New Benchmark Datasets for Korean Natural Language Understanding},
  author={Ham, Jiyeon and Choe, Yo Joong and Park, Kyubyong and Choi, Ilji and Soh, Hyungjoon},
  journal={arXiv preprint arXiv:2004.03289},
  year={2020}
}