Datasets:
text stringlengths 42 10.8M | meta dict |
|---|---|
------------
全部章节
------------
第一章 她肯定做梦呢!
HT国际大酒店总统套房。
清晨的第一缕阳光照射进圣地亚哥地板上,洒落在凌乱的床单上,突然地,床上睡的正熟的人睁开眼睛,猛然惊醒!
头疼欲裂,昨晚发生了什么?怎么她在这里?
她使劲回忆,昨晚秦老太太寿宴,秦家包下了辉煌酒店举办寿宴,父母在受邀名单里,她跟着父母一起来参加秦老太太的寿宴,在宴会上她好奇偷喝酒,怕被人发现一紧张不小心把酒洒在裙子上,母亲走不开身就让在附近的秦潋带她去换衣服……然后就来到了房间里,剩下的她就不记得了!
她接下来都做什么了?
“醒了。”
突然地,一... | {
"subset": "cnnovel.ibiquw",
"id": "100067",
"q": 0.9,
"lang": "zh_cn",
"title": "为爱入局:嫁给秦先生",
"author": "奥德萨"
} |
"\n------------\n\n全部章节\n\n\n------------\n\n第1章:出狱就大婚\n\n 凉城第一(...TRUNCATED) | {"subset":"cnnovel.ibiquw","id":"100059","q":0.9,"lang":"zh_cn","title":"绝世弃婿","author":"绷(...TRUNCATED) |
"\n------------\n\n第一章 野蛮娇妻带球跑\n\n 茂盛的丛林间,一个奔跑的倩影(...TRUNCATED) | {"subset":"cnnovel.ibiquw","id":"100008","q":0.9,"lang":"zh_cn","title":"原始社会小神妻","aut(...TRUNCATED) |
"\n------------\n\n第一章 风起\n\n 庆平十六年,三月初六,春。\n\n 丰国驼(...TRUNCATED) | {"subset":"cnnovel.ibiquw","id":"100070","q":0.9,"lang":"zh_cn","title":"蒲草行","author":"九楼(...TRUNCATED) |
"\n------------\n\n全部章节\n\n\n------------\n\n001.相遇\n\n和初恋再次见面,是时隔(...TRUNCATED) | {"subset":"cnnovel.ibiquw","id":"100027","q":0.9,"lang":"zh_cn","title":"我用新婚忘记你","aut(...TRUNCATED) |
"\n------------\n\n第1章 梦开始的地方\n\n\n------------\n\n第2章 你看够了没有\n\n\n-(...TRUNCATED) | {"subset":"cnnovel.ibiquw","id":"100403","q":0.9,"lang":"zh_cn","title":"爱上旅游博主","author(...TRUNCATED) |
"\n------------\n\n第1章 逃婚替嫁\n\n 夜半三更,聂绥绥睡得迷糊,恍惚间摸(...TRUNCATED) | {"subset":"cnnovel.ibiquw","id":"100036","q":0.9,"lang":"zh_cn","title":"捡个王妃来当当","aut(...TRUNCATED) |
"\n------------\n\n(1)我还真穿了\n\n 睁开沉重的三眼皮,下意识的抬手准备(...TRUNCATED) | {"subset":"cnnovel.ibiquw","id":"10095","q":0.9,"lang":"zh_cn","title":"极品逃妃","author":"莫(...TRUNCATED) |
"\n------------\n\n第一章 灵力测试\n\n “哈哈哈哈哈,灵力是零。”\n\n “(...TRUNCATED) | {"subset":"cnnovel.ibiquw","id":"100074","q":0.9,"lang":"zh_cn","title":"器灵异陆","author":"奔(...TRUNCATED) |
"\n------------\n\n作品正文卷\n\n\n------------\n\n第一章 神秘男子\n\n 是夜,秋(...TRUNCATED) | {"subset":"cnnovel.ibiquw","id":"100005","q":0.9,"lang":"zh_cn","title":"启冥","author":"萧毅凡(...TRUNCATED) |
Dataset Card for CNNovel125K
The BigKnow2022 dataset and its subsets are not yet complete. Not all information here may be accurate or accessible.
Dataset Summary
CNNovel125K is a dataset composed of approximately 125,000 novels downloaded from the Chinese novel hosting site http://ibiquw.com.
Supported Tasks and Leaderboards
This dataset is primarily intended for unsupervised training of text generation models; however, it may be useful for other purposes.
- text-classification
- text-generation
Languages
- Simplified Chinese
Dataset Structure
Data Instances
{
"text": "\n------------\n\n全部章节\n\n\n------------\n\n第一章 她肯定做梦呢!\n\n HT国际大酒店总统套房。\n\n 清晨的第一缕阳光照射进圣地亚哥地板上,洒落在凌乱的床单上,突然地,床上睡的正熟的人睁开眼睛,
猛然惊醒!\n\n ...",
"meta": {
"subset": "cnnovel.ibiquw",
"id": "100067",
"q": 0.9,
"lang": "zh_cn",
"title": "为爱入局:嫁给秦先生",
"author": "奥德萨"
}
}
{
"text": "\n------------\n\n全部章节\n\n\n------------\n\n第1章:出狱就大婚\n\n 凉城第一监狱,大门缓缓打开,秦峰仰起头,贪婪的呼吸了一口空气。\n\n 三年了,终于又闻到了自由的味道。\n\n 他回过头,看着目
送他出来的那群人道:...",
"meta": {
"subset": "cnnovel.ibiquw",
"id": "100059",
"q": 0.9,
"lang": "zh_cn",
"title": "绝世弃婿",
"author": "绷带怪"
}
}
Data Fields
text: the actual novel text, all chaptersmeta: entry metadatasubset: dataset tag:cnnovel.ibiquwid: novel IDq: quality score, fixed at 0.9lang: alwayszh_cn(Simplified Chinese)title: novel titleauthor: novel author
Data Splits
No splitting of the data was performed.
Dataset Creation
Curation Rationale
TODO
Source Data
Initial Data Collection and Normalization
TODO
Who are the source language producers?
The authors of each novel.
Annotations
Annotation process
Titles were collected alongside the novel text and IDs.
Who are the annotators?
There were no human annotators.
Personal and Sensitive Information
The dataset contains only works of fiction, and we do not believe it contains any PII.
Considerations for Using the Data
Social Impact of Dataset
This dataset is intended to be useful for anyone who wishes to train a model to generate "more entertaining" content in Chinese. It may also be useful for other languages depending on your language model.
Discussion of Biases
This dataset is composed of fictional works by various authors. Because of this fact, the contents of this dataset will reflect the biases of those authors. Beware of stereotypes.
Other Known Limitations
N/A
Additional Information
Dataset Curators
Ronsor Labs
Licensing Information
Apache 2.0, for all parts of which Ronsor Labs or the Ryoko AI Production Committee may be considered authors. All other material is distributed under fair use principles.
Citation Information
@misc{ryokoai2023-bigknow2022,
title = {BigKnow2022: Bringing Language Models Up to Speed},
author = {Ronsor},
year = {2023},
howpublished = {\url{https://github.com/RyokoAI/BigKnow2022}},
}
Contributions
Thanks to @ronsor (GH) for gathering this dataset.
- Downloads last month
- 21