Duplicate from RyokoAI/CNNovel125K
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---
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2 |
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license: apache-2.0
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3 |
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language:
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- zh
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tags:
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- novel
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- training
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task_categories:
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- text-classification
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- text-generation
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pretty_name: CNNovel125K
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size_categories:
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- 100K<n<1M
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duplicated_from: RyokoAI/CNNovel125K
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---
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+
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17 |
+
# Dataset Card for CNNovel125K
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18 |
+
|
19 |
+
*The BigKnow2022 dataset and its subsets are not yet complete. Not all information here may be accurate or accessible.*
|
20 |
+
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21 |
+
## Dataset Description
|
22 |
+
|
23 |
+
- **Homepage:** (TODO)
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+
- **Repository:** <https://github.com/RyokoAI/BigKnow2022>
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- **Paper:** N/A
|
26 |
+
- **Leaderboard:** N/A
|
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- **Point of Contact:** Ronsor/undeleted <[email protected]>
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+
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29 |
+
### Dataset Summary
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30 |
+
|
31 |
+
CNNovel125K is a dataset composed of approximately 125,000 novels downloaded from the Chinese novel hosting site <http://ibiquw.com>.
|
32 |
+
|
33 |
+
### Supported Tasks and Leaderboards
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34 |
+
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35 |
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This dataset is primarily intended for unsupervised training of text generation models; however, it may be useful for other purposes.
|
36 |
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* text-classification
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* text-generation
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+
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### Languages
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* Simplified Chinese
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43 |
+
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## Dataset Structure
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45 |
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### Data Instances
|
47 |
+
|
48 |
+
```json
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49 |
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{
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"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,
|
51 |
+
猛然惊醒!\n\n ...",
|
52 |
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"meta": {
|
53 |
+
"subset": "cnnovel.ibiquw",
|
54 |
+
"id": "100067",
|
55 |
+
"q": 0.9,
|
56 |
+
"lang": "zh_cn",
|
57 |
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"title": "为爱入局:嫁给秦先生",
|
58 |
+
"author": "奥德萨"
|
59 |
+
}
|
60 |
+
}
|
61 |
+
{
|
62 |
+
"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
|
63 |
+
送他出来的那群人道:...",
|
64 |
+
"meta": {
|
65 |
+
"subset": "cnnovel.ibiquw",
|
66 |
+
"id": "100059",
|
67 |
+
"q": 0.9,
|
68 |
+
"lang": "zh_cn",
|
69 |
+
"title": "绝世弃婿",
|
70 |
+
"author": "绷带怪"
|
71 |
+
}
|
72 |
+
}
|
73 |
+
```
|
74 |
+
|
75 |
+
### Data Fields
|
76 |
+
|
77 |
+
* `text`: the actual novel text, all chapters
|
78 |
+
* `meta`: entry metadata
|
79 |
+
* `subset`: dataset tag: `cnnovel.ibiquw`
|
80 |
+
* `id`: novel ID
|
81 |
+
* `q`: quality score, fixed at 0.9
|
82 |
+
* `lang`: always `zh_cn` (Simplified Chinese)
|
83 |
+
* `title`: novel title
|
84 |
+
* `author`: novel author
|
85 |
+
|
86 |
+
### Data Splits
|
87 |
+
|
88 |
+
No splitting of the data was performed.
|
89 |
+
|
90 |
+
## Dataset Creation
|
91 |
+
|
92 |
+
### Curation Rationale
|
93 |
+
|
94 |
+
TODO
|
95 |
+
|
96 |
+
### Source Data
|
97 |
+
|
98 |
+
#### Initial Data Collection and Normalization
|
99 |
+
|
100 |
+
TODO
|
101 |
+
|
102 |
+
#### Who are the source language producers?
|
103 |
+
|
104 |
+
The authors of each novel.
|
105 |
+
|
106 |
+
### Annotations
|
107 |
+
|
108 |
+
#### Annotation process
|
109 |
+
|
110 |
+
Titles were collected alongside the novel text and IDs.
|
111 |
+
|
112 |
+
#### Who are the annotators?
|
113 |
+
|
114 |
+
There were no human annotators.
|
115 |
+
|
116 |
+
### Personal and Sensitive Information
|
117 |
+
|
118 |
+
The dataset contains only works of fiction, and we do not believe it contains any PII.
|
119 |
+
|
120 |
+
## Considerations for Using the Data
|
121 |
+
|
122 |
+
### Social Impact of Dataset
|
123 |
+
|
124 |
+
This dataset is intended to be useful for anyone who wishes to train a model to generate "more entertaining" content in Chinese.
|
125 |
+
It may also be useful for other languages depending on your language model.
|
126 |
+
|
127 |
+
### Discussion of Biases
|
128 |
+
|
129 |
+
This dataset is composed of fictional works by various authors. Because of this fact, the contents of this dataset will reflect
|
130 |
+
the biases of those authors. Beware of stereotypes.
|
131 |
+
|
132 |
+
### Other Known Limitations
|
133 |
+
|
134 |
+
N/A
|
135 |
+
|
136 |
+
## Additional Information
|
137 |
+
|
138 |
+
### Dataset Curators
|
139 |
+
|
140 |
+
Ronsor Labs
|
141 |
+
|
142 |
+
### Licensing Information
|
143 |
+
|
144 |
+
Apache 2.0, for all parts of which Ronsor Labs or the Ryoko AI Production Committee may be considered authors. All other material is
|
145 |
+
distributed under fair use principles.
|
146 |
+
|
147 |
+
### Citation Information
|
148 |
+
|
149 |
+
```
|
150 |
+
@misc{ryokoai2023-bigknow2022,
|
151 |
+
title = {BigKnow2022: Bringing Language Models Up to Speed},
|
152 |
+
author = {Ronsor},
|
153 |
+
year = {2023},
|
154 |
+
howpublished = {\url{https://github.com/RyokoAI/BigKnow2022}},
|
155 |
+
}
|
156 |
+
```
|
157 |
+
|
158 |
+
### Contributions
|
159 |
+
|
160 |
+
Thanks to @ronsor (GH) for gathering this dataset.
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