Update README.md

README.md

@@ -1,4 +1,13 @@
 ---
+pretty_name: race
+language:
+- ko
+size_categories:
+- 1K<n<10K
+task_categories:
+- multiple-choice
+task_ids:
+- multiple-choice-qa
 license: other
 license_name: race
 license_link: https://www.cs.cmu.edu/~glai1/data/race/
@@ -27,3 +36,56 @@ dataset_info:
   download_size: 46954865
   dataset_size: 212305667
 ---
+
+# Dataset Card for race
+
+## Licensing Information
+
+http://www.cs.cmu.edu/~glai1/data/race/
+
+1. RACE dataset is available for non-commercial research purpose only.
+
+2. All passages are obtained from the Internet which is not property of Carnegie Mellon University. We are not responsible for the content nor the meaning of these passages.
+
+3. You agree not to reproduce, duplicate, copy, sell, trade, resell or exploit for any commercial purpose, any portion of the contexts and any portion of derived data.
+
+4. We reserve the right to terminate your access to the RACE dataset at any time.
+
+## Source Data Citation INformation
+
+```
+@inproceedings{lai-etal-2017-race,
+    title = "{RACE}: Large-scale {R}e{A}ding Comprehension Dataset From Examinations",
+    author = "Lai, Guokun  and
+      Xie, Qizhe  and
+      Liu, Hanxiao  and
+      Yang, Yiming  and
+      Hovy, Eduard",
+    booktitle = "Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing",
+    month = sep,
+    year = "2017",
+    address = "Copenhagen, Denmark",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/D17-1082",
+    doi = "10.18653/v1/D17-1082",
+    pages = "785--794",
+}
+```
+## Citation Information
+
+```
+@inproceedings{KITD,
+  title={언어 번역 모델을 통한 한국어 지시 학습 데이터 세트 구축},
+  author={임영서, 추현창, 김산, 장진예, 정민영, 신사임},
+  booktitle={제 35회 한글 및 한국어 정보처리 학술대회},
+  pages={591--595},
+  year={2023}
+}
+@inproceedings{KITD,
+  title={Korean Instruction Tuning Dataset},
+  author={Yeongseo Lim, HyeonChang Chu, San Kim, Jin Yea Jang, Minyoung Jung, Saim Shin},
+  booktitle={Proceedings of the 35th Annual Conference on Human and Cognitive Language Technology},
+  pages={591--595},
+  year={2023}
+}
+```