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README.md
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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: ScribbleHub17K
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size_categories:
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- 100K<n<1M
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---
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# Dataset Card for ScribbleHub17K
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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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ScribbleHub17K 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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"text": " \n2082 Planet Earth the Fracture War, after a sudden fracture in our dimension unidentified beings with advance technology and u...",
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"meta": {
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"subset": "scribblehub",
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"series": "3811",
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"id": "3812",
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"q": 0.91,
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"title": "The First - Prologue- The Fracture War",
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"author": "RobotLove",
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"chapters": 1,
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"rating": 5,
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"rating_ct": 1,
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"genre": [
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"Action",
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"Martial Arts",
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"Romance"
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],
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"tags": [
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"Kingdom Building",
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"Loyal Subordinates",
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"Male Protagonist",
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"Organized Crime",
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"Scheming"
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]
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}
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}
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{
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"text": " For anyone that may see this, thanks for reading. I'm just here to see if a story can spill out of my mind if just start writin...",
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"meta": {
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"subset": "scribblehub",
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"series": "586090",
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"id": "586099",
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"q": 0.82,
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"title": "Just writing to write…i guess? - I’m here now",
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"author": "BigOofStudios",
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"chapters": 1,
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"rating": 4.5,
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"rating_ct": 2,
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"genre": [
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"Action",
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"Comedy"
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],
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"tags": []
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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 chapter text
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* `meta`: metadata for chapter and series
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* `subset`: data source tag: `scribblehub`
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* `series`: series ID
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* `id`: chapter ID
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* `lang`: always `en` (English)
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* `q`: quality score between (0.0) terrible and 1.0 (perfect); anything with a score `> 0.5` is generally good enough
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* `title`: chapter and series title in the format `<chapter title> - <series title>`
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* `chapters`: total number of chapters in the series
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* `rating`: Scribble Hub rating between 0 and 5 stars
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* `rating_ct`: number of ratings
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* `author`: author name
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* `genre`: array of Scribble Hub genres for the series
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* `tags`: array of tags for the series
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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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Scribble Hub is a home for original web stories, effectively a smaller, English version of Japan's Syosetuka ni Narou. As a
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result, it is a good source for reasonably well written creative content.
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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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Title, ratings, and other metadata were parsed out using scripts that will be provided in the BigKnow2022 GitHub repository.
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#### Who are the annotators?
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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.
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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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