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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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-
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- # Dataset Card for ScribbleHub17K
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-
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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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-
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- ## Dataset Description
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-
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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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-
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- ### Dataset Summary
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-
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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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-
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- ### Supported Tasks and Leaderboards
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-
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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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-
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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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-
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- * English
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-
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- ## Dataset Structure
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-
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- ### Data Instances
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-
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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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-
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- ### Data Fields
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-
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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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-
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- ### Data Splits
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-
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- No splitting of the data was performed.
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-
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- ## Dataset Creation
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-
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- ### Curation Rationale
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-
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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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-
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- ### Source Data
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-
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- #### Initial Data Collection and Normalization
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-
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- TODO
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-
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- #### Who are the source language producers?
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-
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- The authors of each novel.
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-
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- ### Annotations
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-
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- #### Annotation process
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-
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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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-
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- #### Who are the annotators?
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-
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- No human annotators.
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-
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- ### Personal and Sensitive Information
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-
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- The dataset contains only works of fiction, and we do not believe it contains any PII.
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-
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- ## Considerations for Using the Data
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-
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- ### Social Impact of Dataset
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-
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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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-
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- ### Discussion of Biases
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-
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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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-
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- ### Other Known Limitations
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-
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- N/A
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-
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- ## Additional Information
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-
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- ### Dataset Curators
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-
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- Ronsor Labs
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-
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- ### Licensing Information
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-
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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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-
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- ### Citation Information
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-
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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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-
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- ### Contributions
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-
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- Thanks to @ronsor (GH) for gathering this dataset.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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