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--- |
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license: apache-2.0 |
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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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--- |
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# Dataset Card for CNNovel125K |
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*The BigKnow2022 dataset and its subsets are not yet complete. Not all information here may be accurate or accessible.* |
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## Dataset Description |
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- **Homepage:** (TODO) |
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- **Repository:** <https://github.com/RyokoAI/BigKnow2022> |
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- **Paper:** N/A |
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- **Leaderboard:** N/A |
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- **Point of Contact:** Ronsor/undeleted <ronsor@ronsor.com> |
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### Dataset Summary |
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CNNovel125K is a dataset composed of approximately 125,000 novels downloaded from the Chinese novel hosting site <http://ibiquw.com>. |
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### Supported Tasks and Leaderboards |
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This dataset is primarily intended for unsupervised training of text generation models; however, it may be useful for other purposes. |
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* text-classification |
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* text-generation |
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### Languages |
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* Simplified Chinese |
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## Dataset Structure |
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### Data Instances |
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```json |
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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， |
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猛然惊醒！\n\n ...", |
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"meta": { |
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"subset": "cnnovel.ibiquw", |
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"id": "100067", |
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"q": 0.9, |
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"lang": "zh_cn", |
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"title": "为爱入局：嫁给秦先生", |
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"author": "奥德萨" |
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} |
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} |
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{ |
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"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 |
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送他出来的那群人道：...", |
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"meta": { |
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"subset": "cnnovel.ibiquw", |
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"id": "100059", |
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"q": 0.9, |
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"lang": "zh_cn", |
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"title": "绝世弃婿", |
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"author": "绷带怪" |
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} |
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} |
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``` |
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### Data Fields |
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* `text`: the actual novel text, all chapters |
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* `meta`: entry metadata |
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* `subset`: dataset tag: `cnnovel.ibiquw` |
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* `id`: novel ID |
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* `q`: quality score, fixed at 0.9 |
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* `lang`: always `zh_cn` (Simplified Chinese) |
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* `title`: novel title |
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* `author`: novel author |
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### Data Splits |
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No splitting of the data was performed. |
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## Dataset Creation |
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### Curation Rationale |
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TODO |
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### Source Data |
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#### Initial Data Collection and Normalization |
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TODO |
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#### Who are the source language producers? |
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The authors of each novel. |
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### Annotations |
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#### Annotation process |
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Titles were collected alongside the novel text and IDs. |
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#### Who are the annotators? |
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There were no human annotators. |
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### Personal and Sensitive Information |
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The dataset contains only works of fiction, and we do not believe it contains any PII. |
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## Considerations for Using the Data |
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### Social Impact of Dataset |
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This dataset is intended to be useful for anyone who wishes to train a model to generate "more entertaining" content in Chinese. |
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It may also be useful for other languages depending on your language model. |
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### Discussion of Biases |
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This dataset is composed of fictional works by various authors. Because of this fact, the contents of this dataset will reflect |
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the biases of those authors. Beware of stereotypes. |
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### Other Known Limitations |
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N/A |
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## Additional Information |
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### Dataset Curators |
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Ronsor Labs |
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### Licensing Information |
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Apache 2.0, for all parts of which Ronsor Labs or the Ryoko AI Production Committee may be considered authors. All other material is |
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distributed under fair use principles. |
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### Citation Information |
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``` |
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@misc{ryokoai2023-bigknow2022, |
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title = {BigKnow2022: Bringing Language Models Up to Speed}, |
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author = {Ronsor}, |
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year = {2023}, |
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howpublished = {\url{https://github.com/RyokoAI/BigKnow2022}}, |
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} |
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``` |
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### Contributions |
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Thanks to @ronsor (GH) for gathering this dataset. |
