| 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 | |
| splits: | |
| - name: train | |
| num_bytes: 1034815 | |
| num_examples: 5691 | |
| - name: valid | |
| num_bytes: 297254 | |
| num_examples: 1465 | |
| - name: test | |
| num_bytes: 247409 | |
| num_examples: 1376 | |
| download_size: 837346 | |
| dataset_size: 1579478 | |
| # Korean Semantic Textual Similarity (KorSTS) Dataset | |
| For a better dataset description, please visit this GitHub repository prepared by the authors of the article: [LINK](https://github.com/kakaobrain/kor-nlu-datasets) <br> | |
| <br> | |
| **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. <br> | |
| 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) | |
| Additionaly, **None values have been removed from the dataset** (5 from train, 1 from eval, and 3 from 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} | |
| } | |
| ``` |