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Dataset Card for Douban Dushu (豆瓣读书).
Dataset Description
This dataset contains book reviews from DouBan Dushu.
DouBan DuShu is a Chinese website where users can share their reviews about various kinds of books. Most of the users in this website are unprofessional book reviewers. Therefore, the comments are usually spoken Chinese or even Internet slang.
- Repository: https://github.com/JaniceZhao/Douban-Dushu-Dataset
- Paper: LSICC: A Large Scale Informal Chinese Corpus
Dataset Summary
[More Information Needed]
Supported Tasks and Leaderboards
[More Information Needed]
Languages
Chinese
Dataset Structure
Data Instances
{
'tag': '日本文学',
'book_name': '厨房',
'user_name': '林大东',
'date': '2013-03-12',
'comment': '满月没有另外两篇好看',
'star': 5,
'vote_count': 0
}
Data Fields
{
"tag": datasets.Value("string"),
"book_name": datasets.Value("string"),
"user_name": datasets.Value("string"),
"date": datasets.Value("string"),
"comment": datasets.Value("string"),
"star": datasets.Value("int32"),
"vote_count": datasets.Value("int32"),
}
Data Splits
[More Information Needed]
Dataset Creation
Curation Rationale
[More Information Needed]
Source Data
https://drive.google.com/drive/folders/1Me0aswzCCMtJt3clWiA39J5i-tbREgze
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
[More Information Needed]
Citation Information
@article{zhao2018lsicc, title={LSICC: A Large Scale Informal Chinese Corpus}, author={Zhao, Jianyu and Ji, Zhuoran}, journal={arXiv preprint arXiv:1811.10167}, year={2018} }
Contributions
Thanks to @larrylawl for adding this dataset.
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