Datasets:
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---
license: apache-2.0
task_categories:
- text-generation
language:
- zh
tags:
- novel
- structured
- multimodal
size_categories:
- 1K<n<10K
---
# 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:
```json
{
"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. |