|
--- |
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license: cc-by-sa-4.0 |
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dataset_info: |
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features: |
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- name: id |
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dtype: int64 |
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- name: genre |
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dtype: string |
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- name: sentence1 |
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dtype: string |
|
- name: sentence2 |
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dtype: string |
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- name: score |
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dtype: float64 |
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splits: |
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- name: train |
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num_bytes: 1034815 |
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num_examples: 5691 |
|
- name: valid |
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num_bytes: 297254 |
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num_examples: 1465 |
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- name: test |
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num_bytes: 247409 |
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num_examples: 1376 |
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download_size: 837346 |
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dataset_size: 1579478 |
|
--- |
|
|
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# Korean Semantic Textual Similarity (KorSTS) Dataset |
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|
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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> |
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<br> |
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**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> |
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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) |
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|
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Additionaly, **None values have been removed from the dataset** (5 from train, 1 from eval, and 3 from test) |
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|
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**How to download** |
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|
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``` |
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from datasets import load_dataset |
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data = load_dataset("dkoterwa/kor-sts") |
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``` |
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|
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**If you use this dataset for research, please cite this paper:** |
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|
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``` |
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@article{ham2020kornli, |
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title={KorNLI and KorSTS: New Benchmark Datasets for Korean Natural Language Understanding}, |
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author={Ham, Jiyeon and Choe, Yo Joong and Park, Kyubyong and Choi, Ilji and Soh, Hyungjoon}, |
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journal={arXiv preprint arXiv:2004.03289}, |
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year={2020} |
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} |
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``` |
