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README.md
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license: apache-2.0
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---
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---
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license: apache-2.0
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language:
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- en
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tags:
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- novel
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- training
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- story
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task_categories:
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- text-classification
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- text-generation
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pretty_name: ScribbleHub Stories
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size_categories:
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- 100K<n<1M
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---
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# Dataset Card for ScribbleHub Stories
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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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ScribbleHub Stories is a dataset consisting of text from over 373,000 chapters across approximately 17,500 series posted on the
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original story sharing site [Scribble Hub](https://scribblehub.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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* English
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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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### Data Fields
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* **text**: the actual chapter text
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* **title**: the series chapter title
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* **tag**: source-identifier tag: "scribblehub"
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* **id**: an ID in the format `scribblehub.<series>.<chapter>` where <series> and <chapter> are
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both numeric IDs.
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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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TODO
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#### Who are the annotators?
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TODO
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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.
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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. **Additionally, this dataset contains NSFW material and was not filtered. 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.
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