metadata

license: apache-2.0
language:
  - en
tags:
  - novel
  - training
  - story
task_categories:
  - text-classification
  - text-generation
pretty_name: ScribbleHub17K
size_categories:
  - 100K<n<1M
duplicated_from: RyokoAI/ScribbleHub17K

Dataset Card for ScribbleHub17K

The BigKnow2022 dataset and its subsets are not yet complete. Not all information here may be accurate or accessible.

Dataset Description

Homepage: (TODO)
Repository: https://github.com/RyokoAI/BigKnow2022
Paper: N/A
Leaderboard: N/A
Point of Contact: Ronsor/undeleted ronsor@ronsor.com

Dataset Summary

ScribbleHub17K is a dataset consisting of text from over 373,000 chapters across approximately 17,500 series posted on the original story sharing site Scribble Hub.

Supported Tasks and Leaderboards

This dataset is primarily intended for unsupervised training of text generation models; however, it may be useful for other purposes.

text-classification
text-generation

Languages

English

Dataset Structure

Data Instances

{
  "text": " \n2082 Planet Earth the Fracture War, after a sudden fracture in our dimension unidentified beings with advance technology and u...",
  "meta": {
    "subset": "scribblehub",
    "series": "3811",
    "id": "3812",
    "q": 0.91,
    "title": "The First - Prologue- The Fracture War",
    "author": "RobotLove",
    "chapters": 1,
    "rating": 5,
    "rating_ct": 1,
    "genre": [
      "Action",
      "Martial Arts",
      "Romance"
    ],
    "tags": [
      "Kingdom Building",
      "Loyal Subordinates",
      "Male Protagonist",
      "Organized Crime",
      "Scheming"
    ]
  }
}
{
  "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...",
  "meta": {
    "subset": "scribblehub",
    "series": "586090",
    "id": "586099",
    "q": 0.82,
    "title": "Just writing to write…i guess? - I’m here now",
    "author": "BigOofStudios",
    "chapters": 1,
    "rating": 4.5,
    "rating_ct": 2,
    "genre": [
      "Action",
      "Comedy"
    ],
    "tags": []
  }
}

Data Fields

text: the actual chapter text
meta: metadata for chapter and series
- subset: data source tag: scribblehub
- series: series ID
- id: chapter ID
- lang: always en (English)
- q: quality score (q-score) between (0.0) terrible and 1.0 (perfect); anything with a score > 0.5 is generally good enough
- title: chapter and series title in the format <chapter title> - <series title>
- chapters: total number of chapters in the series
- rating: Scribble Hub rating between 0 and 5 stars
- rating_ct: number of ratings
- author: author name
- genre: array of Scribble Hub genres for the series
- tags: array of tags for the series

Q-Score Distribution

0.00: 0
0.10: 0
0.20: 0
0.30: 84
0.40: 718
0.50: 3775
0.60: 22300
0.70: 72581
0.80: 137982
0.90: 135800
1.00: 59

Data Splits

No splitting of the data was performed.

Dataset Creation

Curation Rationale

Scribble Hub is a home for original web stories, effectively a smaller, English version of Japan's Syosetuka ni Narou. As a result, it is a good source for reasonably well written creative content.

Source Data

Initial Data Collection and Normalization

TODO

Who are the source language producers?

The authors of each novel.

Annotations

Annotation process

Title, ratings, and other metadata were parsed out using scripts that will be provided in the BigKnow2022 GitHub repository.

Who are the annotators?

No human annotators.

Personal and Sensitive Information

The dataset contains only works of fiction, and we do not believe it contains any PII.

Considerations for Using the Data

Social Impact of Dataset

This dataset is intended to be useful for anyone who wishes to train a model to generate "more entertaining" content. It may also be useful for other languages depending on your language model.

Discussion of Biases

This dataset is composed of fictional works by various authors. Because of this fact, the contents of this dataset will reflect the biases of those authors. Additionally, this dataset contains NSFW material and was not filtered. Beware of stereotypes.

Other Known Limitations

N/A

Additional Information

Dataset Curators

Ronsor Labs

Licensing Information

Apache 2.0, for all parts of which Ronsor Labs or the Ryoko AI Production Committee may be considered authors. All other material is distributed under fair use principles.

Citation Information

@misc{ryokoai2023-bigknow2022,
  title         = {BigKnow2022: Bringing Language Models Up to Speed},
  author        = {Ronsor},
  year          = {2023},
  howpublished  = {\url{https://github.com/RyokoAI/BigKnow2022}},
}

Contributions

Thanks to @ronsor (GH) for gathering this dataset.