book_title
stringlengths
1
28
book_author
stringlengths
1
24
book_tag
sequencelengths
1
5
book_intro
stringlengths
0
977
collect
int64
0
192k
popularity
int64
907
130M
book_chapter
listlengths
1
2.62k
庞博文:你喜欢我吗
李李李李李李李李
[ "现代", "庞博文", "刘佳梁", "抖音网红", "马建博" ]
简介:意外爆火的新晋主播安然与抖音网红庞博文的相识相恋
632
417,220
[{"chapter_title":"介绍","content":[{"content_tag":"narration","role":"","content":"⚠️一切(...TRUNCATED)
宋亚轩:厚爱
zzhs
[ "明星同人" ]
简介:自己看吧
15
59,814
[{"chapter_title":"“你叫什么”","content":[{"content_tag":"narration","role":"","content":"(...TRUNCATED)
梅赛德斯:我来保护你
王予柒
[ "现代" ]
"简介:【已签约】自创作品,勿上真人,不得抄袭,不得拿图,抄袭会追究(...TRUNCATED)
2,156
2,052,362
[{"chapter_title":"直播1","content":[{"content_tag":"narration","role":"","content":"小黑粉:今(...TRUNCATED)
燃烧吧青春之恋
晓君茶后谈人生
[ "校园", "学校的纯情爱情" ]
简介:他把爱隐藏于内心深处,他为爱奉献他的全部。最终……
57
95,414
[{"chapter_title":"001 写情书","content":[{"content_tag":"dialog","role":"郭甜","content":"(...TRUNCATED)
WX:先婚后爱
_挽筝_
[ "现代" ]
简介:简介正在更新
2,258
835,573
[{"chapter_title":".1","content":[{"content_tag":"dialog","role":"作者自己","content":"哈喽"},(...TRUNCATED)
与君落山川
꯭请꯭爱꯭祝꯭小꯭姐_221769992
[ "古代" ]
简介:那一年我哥灭你满门 这一生让我护你一世
4
6,248
[{"chapter_title":"第一章","content":[{"content_tag":"narration","role":"","content":"顾家被(...TRUNCATED)
雨爱救赎
151***623_1830252234
[ "现代" ]
简介:十六岁那年对小叔叔表白被拒 十八岁那年被他圈在办公桌深情告白
5
6,240
[{"chapter_title":"再次相遇","content":[{"content_tag":"narration","role":"","content":"十六(...TRUNCATED)
冷漠的两位少女
宁荣雪
[ "幻想", "青梅", "白染", "武茉", "柒白染" ]
"简介:很简单两位少女互相救赎,还有获得爱人的故事,主讲柒白染三个人(...TRUNCATED)
59
346,010
[{"chapter_title":"彻底的失望","content":[{"content_tag":"dialog","role":"染(音雪)","con(...TRUNCATED)
审判者观察录
在下北冥不周
[ "穿越" ]
简介:一个闲着的魔神观察人间的记录
12
24,093
[{"chapter_title":"1,开幕","content":[{"content_tag":"dialog","role":"北冥不周","content":"(...TRUNCATED)
小师妹重生后开始脚踹女主
菠萝不是凤梨哟
[ "穿越" ]
"简介:       姜文穿书了,穿成了《我在宗门里当小娇妻》里面的炮灰(...TRUNCATED)
15
16,481
[{"chapter_title":"这破炮灰老子不当了","content":[{"content_tag":"dialog","role":"秦霄云(...TRUNCATED)

中文互动小说结构化语料

This dataset contains uncleaned (!) 3534 structured Chinese interactive novels (中文互动小说), accounting for around 0.25B (gpt-3.5) tokens in total.

All contents are parsed from certain online sources.

Usage

This dataset can be potentially used for LLM training. But be aware that you'd better clean the data yourself to remove undesired low-quality contents.

Each novel is a dict structured as follows:

class Novel:
    book_title: str
    book_author: str
    book_tag: list[str]
    book_intro: str
    collect: int    # 收藏
    popularity: int # 热度
    book_chapter: list[Chapter]  # Main content

class Chapter:
    chapter_title: str
    content: list[Content]

class Content:
    content_tag: str    # can be dialog, img, or narration
    role: str
    content: str
  • Example snippet

Corresponding visual screenshot:

screenshot-20240712-090932.png

{
    "book_title": "庞博文:你喜欢我吗",
    "book_author": "李李李李李李李李",
    "book_tag": [
        "现代",
        "庞博文",
        "刘佳梁",
        "抖音网红",
        "马建博"
    ],
    "book_intro": "简介:意外爆火的新晋主播安然与抖音网红庞博文的相识相恋",
    "collect": 632,
    "popularity": 417220,
    "book_chapter": [
        ...
        {
            "chapter_title": "喝多了",
            "content": [
                ...
                {
                    "content_tag": "dialog",
                    "role": "庞博文",
                    "content": "拜拜"
                },
                {
                    "content_tag": "dialog",
                    "role": "安然",
                    "content": "拜拜"
                },
                {
                    "content_tag": "narration",
                    "role": "",
                    "content": "安然跟粉丝唠了一会儿磕后,屏幕上又出现了另一个人的面孔"
                },
                {
                    "content_tag": "dialog",
                    "role": "安然",
                    "content": "你好呀"
                },
                {
                    "content_tag": "dialog",
                    "role": "安然",
                    "content": "王子"
                },
                {
                    "content_tag": "dialog",
                    "role": "刘佳梁",
                    "content": "晚上好啊"
                },
                {
                    "content_tag": "dialog",
                    "role": "刘佳梁",
                    "content": "怎么着来一局吗"
                },
                {
                    "content_tag": "dialog",
                    "role": "安然",
                    "content": "再叫两个人吧"
                },
                ...
            ]
        },
        ...
    ]
}

Limitations

  • As depicted, this is an uncleaned dataset. There might be null values (parser failure) throughout novels. There are content noises as well (e.g., author saying thanks or asking for likes and subscriptions)
  • Not all pieces of work are of excellent quality. However, you can always refer to the popularity and collect meta info as a quality indicator.
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