Update README.md

README.md

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 [![ACL2020 2020.acl-main.419](https://img.shields.io/badge/LREC2022-2022.lrec--1.317-red)](https://aclanthology.org/2022.lrec-1.317)
 
-JGLUE is a benchmark to measure the ability of natural language understanding in Japanese. For further details please refer to [the original repository](https://github.com/yahoojapan/JGLUE).
+書籍『大規模言語モデル入門』で使用する、JGLUEのデータセットです。 
+[オリジナルのリポジトリ](https://github.com/yahoojapan/JGLUE)で公開されているデータセットを利用しています。
 
 
-### Licensing Information
+### Licence
+Creative Commons Attribution-ShareAlike 4.0 International License.
 
-> This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
-
-### Citation Information
+### Citation
 
 ```bibtex
 @inproceedings{kurihara-etal-2022-jglue,
@@ -74,8 +74,5 @@ JGLUE is a benchmark to measure the ability of natural language understanding in
 ```
 
 ### Contributions
-
-Thanks to [Kentaro Kurihara](https://twitter.com/kkurihara_cs), [Daisuke Kawahara](https://twitter.com/daisukekawahar1), and [Tomohide Shibata](https://twitter.com/stomohide) for creating this dataset.
-
-
-The code for integration with Hugging Face `datasets` is originally written by [Shunsuke Kitada](https://twitter.com/shunk031) and adapted from [this repository](https://huggingface.co/datasets/shunk031/JGLUE). 
+データセット作成者である [Kentaro Kurihara](https://twitter.com/kkurihara_cs), [Daisuke Kawahara](https://twitter.com/daisukekawahar1), [Tomohide Shibata](https://twitter.com/stomohide) に感謝を申し上げます。
+また本リポジトリのコードは [Shunsuke Kitada](https://twitter.com/shunk031)の[こちらのリポジトリ](https://huggingface.co/datasets/shunk031/JGLUE)を基に作成されたものです。