Dataset Card for "kor_nli"

Dataset Summary

Korean Natural Language Inference datasets.

Supported Tasks and Leaderboards

More Information Needed

Languages

More Information Needed

Dataset Structure

Data Instances

multi_nli

• Size of downloaded dataset files: 42.11 MB
• Size of the generated dataset: 84.72 MB
• Total amount of disk used: 126.85 MB

An example of 'train' looks as follows.

snli

• Size of downloaded dataset files: 42.11 MB
• Size of the generated dataset: 80.13 MB
• Total amount of disk used: 122.25 MB

An example of 'train' looks as follows.

xnli

• Size of downloaded dataset files: 42.11 MB
• Size of the generated dataset: 1.56 MB
• Total amount of disk used: 43.68 MB

An example of 'validation' looks as follows.

Data Fields

The data fields are the same among all splits.

multi_nli

• premise : a string feature.
• hypothesis : a string feature.
• label : a classification label, with possible values including entailment (0), neutral (1), contradiction (2).

snli

• premise : a string feature.
• hypothesis : a string feature.
• label : a classification label, with possible values including entailment (0), neutral (1), contradiction (2).

xnli

• premise : a string feature.
• hypothesis : a string feature.
• label : a classification label, with possible values including entailment (0), neutral (1), contradiction (2).

Data Splits

multi_nli

train
multi_nli	392702

snli

train
snli	550152

xnli

validation	test
xnli	2490	5010

Dataset Creation

Curation Rationale

More Information Needed

Source Data

Initial Data Collection and Normalization

More Information Needed

Who are the source language producers?

More Information Needed

Annotations

Annotation process

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Who are the annotators?

More Information Needed

Personal and Sensitive Information

More Information Needed

Considerations for Using the Data

Social Impact of Dataset

More Information Needed

Discussion of Biases

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Other Known Limitations

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Additional Information

Dataset Curators

More Information Needed

Licensing Information

The dataset is licensed under Creative Commons Attribution-ShareAlike license (CC BY-SA 4.0) .

Citation Information

@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}
}

Contributions

Thanks to @thomwolf , @lhoestq , @lewtun , @patrickvonplaten for adding this dataset.