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+---
+pretty_name: KoBEST
+annotations_creators:
+- expert-generated
+language_creators:
+- expert-generated
+language:
+- ko
+license:
+- cc-by-sa-4.0
+multilinguality:
+- monolingual
+size_categories:
+- 10K<n<100K
+source_datasets:
+- original
+configs:
+  - config_name: boolq
+    data_files:
+    - split: train
+      path: "boolq/train.jsonl"
+    - split: test
+      path: "boolq/test.jsonl"
+    - split: validation
+      path: "boolq/validation.jsonl"
+
+  - config_name: copa
+    data_files:
+    - split: train
+      path: "copa/train.jsonl"
+    - split: test
+      path: "copa/test.jsonl"
+    - split: validation
+      path: "copa/validation.jsonl"
+
+  - config_name: hellaswag
+    data_files:
+    - split: train
+      path: "hellaswag/train.jsonl"
+    - split: test
+      path: "hellaswag/test.jsonl"
+    - split: validation
+      path: "hellaswag/validation.jsonl"
+
+  - config_name: sentineg
+    data_files:
+    - split: train
+      path: "sentineg/train.jsonl"
+    - split: test
+      path: "sentineg/test.jsonl"
+    - split: test_originated
+      path: "sentineg/test_originated.jsonl"
+    - split: validation
+      path: "sentineg/validation.jsonl"
+
+  - config_name: wic
+    data_files:
+    - split: train
+      path: "wic/train.jsonl"
+    - split: test
+      path: "wic/test.jsonl"
+    - split: validation
+      path: "wic/validation.jsonl"
+---
+
+# Dataset Card for KoBEST
+
+## Table of Contents
+- [Table of Contents](#table-of-contents)
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-fields)
+  - [Data Splits](#data-splits)
+- [Dataset Creation](#dataset-creation)
+  - [Curation Rationale](#curation-rationale)
+  - [Source Data](#source-data)
+  - [Annotations](#annotations)
+  - [Personal and Sensitive Information](#personal-and-sensitive-information)
+- [Considerations for Using the Data](#considerations-for-using-the-data)
+  - [Social Impact of Dataset](#social-impact-of-dataset)
+  - [Discussion of Biases](#discussion-of-biases)
+  - [Other Known Limitations](#other-known-limitations)
+- [Additional Information](#additional-information)
+  - [Dataset Curators](#dataset-curators)
+  - [Licensing Information](#licensing-information)
+  - [Citation Information](#citation-information)
+  - [Contributions](#contributions)
+
+## Dataset Description
+
+- **Repository:** https://github.com/SKT-LSL/KoBEST_datarepo
+- **Paper:**
+- **Point of Contact:** https://github.com/SKT-LSL/KoBEST_datarepo/issues
+
+### Dataset Summary
+
+KoBEST is a Korean benchmark suite consists of 5 natural language understanding tasks that requires advanced knowledge in Korean.
+
+### Supported Tasks and Leaderboards
+
+Boolean Question Answering, Choice of Plausible Alternatives, Words-in-Context, HellaSwag, Sentiment Negation Recognition
+
+### Languages
+
+`ko-KR`
+
+## Dataset Structure
+
+### Data Instances
+
+#### KB-BoolQ
+An example of a data point looks as follows.
+```
+{'paragraph': '두아 리파(Dua Lipa, 1995년 8월 22일 ~ )는 잉글랜드의 싱어송라이터, 모델이다. BBC 사운드 오브 2016 명단에 노미닛되었다. 싱글 "Be the One"가 영국 싱글 차트 9위까지 오르는 등 성과를 보여주었다.',
+ 'question': '두아 리파는 영국인인가?',
+ 'label': 1}
+```
+
+#### KB-COPA
+An example of a data point looks as follows.
+```
+{'premise': '물을 오래 끓였다.',
+ 'question': '결과',
+ 'alternative_1': '물의 양이 늘어났다.',
+ 'alternative_2': '물의 양이 줄어들었다.',
+ 'label': 1}
+```
+
+#### KB-WiC
+An example of a data point looks as follows.
+```
+{'word': '양분',
+ 'context_1': '토양에 [양분]이 풍부하여 나무가 잘 자란다.	',
+ 'context_2': '태아는 모체로부터 [양분]과 산소를 공급받게 된다.',
+ 'label': 1}
+```
+
+#### KB-HellaSwag
+An example of a data point looks as follows.
+```
+{'context': '모자를 쓴 투수가 타자에게 온 힘을 다해 공을 던진다. 공이 타자에게 빠른 속도로 다가온다. 타자가 공을 배트로 친다. 배트에서 깡 소리가 난다. 공이 하늘 위로 날아간다.',
+ 'ending_1': '외야수가 떨어지는 공을 글러브로 잡는다.',
+ 'ending_2': '외야수가 공이 떨어질 위치에 자리를 잡는다.',
+ 'ending_3': '심판이 아웃을 외친다.',
+ 'ending_4': '외야수가 공을 따라 뛰기 시작한다.',
+ 'label': 3}
+```
+
+#### KB-SentiNeg
+An example of a data point looks as follows.
+```
+{'sentence': '택배사 정말 마음에 듬',
+ 'label': 1}
+```
+
+### Data Fields
+
+### KB-BoolQ
++ `paragraph`: a `string` feature
++ `question`: a `string` feature
++ `label`: a classification label, with possible values `False`(0) and `True`(1)
+
+
+### KB-COPA
++ `premise`: a `string` feature
++ `question`: a `string` feature
++ `alternative_1`: a `string` feature
++ `alternative_2`: a `string` feature
++ `label`: an answer candidate label, with possible values `alternative_1`(0) and `alternative_2`(1)
+
+
+### KB-WiC
++ `target_word`: a `string` feature
++ `context_1`: a `string` feature
++ `context_2`: a `string` feature
++ `label`: a classification label, with possible values `False`(0) and `True`(1)
+
+### KB-HellaSwag
++ `target_word`: a `string` feature
++ `context_1`: a `string` feature
++ `context_2`: a `string` feature
++ `label`: a classification label, with possible values `False`(0) and `True`(1)
+
+### KB-SentiNeg
++ `sentence`: a `string` feature
++ `label`: a classification label, with possible values `Negative`(0) and `Positive`(1)
+
+
+### Data Splits
+
+#### KB-BoolQ
+
++ train: 3,665
++ dev: 700
++ test: 1,404
+
+#### KB-COPA
+
++ train: 3,076
++ dev: 1,000
++ test: 1,000
+
+#### KB-WiC
+
++ train: 3,318
++ dev: 1,260
++ test: 1,260
+
+#### KB-HellaSwag
+
++ train: 3,665
++ dev: 700
++ test: 1,404
+
+#### KB-SentiNeg
+
++ train: 3,649
++ dev: 400
++ test: 397
++ test_originated: 397 (Corresponding training data where the test set is originated from.)
+
+## 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
+
+[More Information Needed]
+
+#### 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
+
+[More Information Needed]
+
+### Other Known Limitations
+
+[More Information Needed]
+
+## Additional Information
+
+### Dataset Curators
+
+[More Information Needed]
+
+### Licensing Information
+
+```
+@misc{https://doi.org/10.48550/arxiv.2204.04541,
+  doi = {10.48550/ARXIV.2204.04541},
+  url = {https://arxiv.org/abs/2204.04541},
+  author = {Kim, Dohyeong and Jang, Myeongjun and Kwon, Deuk Sin and Davis, Eric},
+  title = {KOBEST: Korean Balanced Evaluation of Significant Tasks},
+  publisher = {arXiv},
+  year = {2022},
+}
+```
+
+[More Information Needed]
+
+### Contributions
+
+Thanks to [@MJ-Jang](https://github.com/MJ-Jang) for adding this dataset.
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