Update README.md

README.md

@@ -1,5 +1,14 @@
 ---
+language:
+- ko
 license: cc-by-4.0
+size_categories:
+- 100K<n<1M
+task_categories:
+- text-classification
+task_ids:
+- natural-language-inference
+- multi-input-text-classification
 dataset_info:
   features:
   - name: premise
@@ -28,3 +37,40 @@ dataset_info:
   download_size: 27268480
   dataset_size: 89213271
 ---
+
+# Dataset Card for QASC
+
+## Licensing Information
+
+The data is distributed under the [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) license.
+
+## Source Data Citation INformation
+
+```
+@inproceedings{snli:emnlp2015,
+	Author = {Bowman, Samuel R. and Angeli, Gabor and Potts, Christopher, and Manning, Christopher D.},
+	Booktitle = {Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
+	Publisher = {Association for Computational Linguistics},
+	Title = {A large annotated corpus for learning natural language inference},
+	Year = {2015}
+}
+```
+
+## 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}
+}
+```