
# 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}
}
```
license:cc-by-sa-4.0 region:us
{"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}}
TAGS
#license-cc-by-sa-4.0 #region-us 


# Korean Semantic Textual Similarity (KorSTS) Dataset

For a better dataset description, please visit this GitHub repository prepared by the authors of the article: LINK <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




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


# Korean Semantic Textual Similarity (KorSTS) Dataset

For a better dataset description, please visit this GitHub repository prepared by the authors of the article: LINK <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




If you use this dataset for research, please cite this paper:
TAGS
#license-cc-by-sa-4.0 #region-us 
 # Korean Semantic Textual Similarity (KorSTS) Dataset

For a better dataset description, please visit this GitHub repository prepared by the authors of the article: LINK <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




If you use this dataset for research, please cite this paper:
passage: TAGS
#license-cc-by-sa-4.0 #region-us 
# Korean Semantic Textual Similarity (KorSTS) Dataset

For a better dataset description, please visit this GitHub repository prepared by the authors of the article: LINK <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




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