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README.md
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```json
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```
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### Data Fields
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### Data Splits
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### Curation Rationale
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### Source Data
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#### Annotation process
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#### Who are the annotators?
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### Personal and Sensitive Information
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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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"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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### 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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#### 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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