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}
}