metadata

license: apache-2.0
language:
  - en
tags:
  - novel
  - training
  - story
task_categories:
  - text-classification
  - text-generation
pretty_name: Honeyfeed3600
size_categories:
  - 1K<n<10K

Dataset Card for Honeyfeed3600

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

Honeyfeed3600 is a dataset consisting of text from over 38,000 chapters across approximately 3,600 series posted on the English-language web novel site Honeyfeed.

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": "Dark, black, nothingness. There are so many ways to describe that hole, but nothing would get me down there...","
  "meta": {
    "subset": "honeyfeed",
    "themes": [],
    "my_themes": [],
    "prompt": "",
    "author": "Lucianael",
    "novel": "10009",
    "id": "55686",
    "title": "13 Steps - 13 Steps",
    "likes": 4,
    "views": 21,
    "q": 0.5999999999999999
  }
}

Data Fields

text: the actual chapter text
meta: novel and chapter metadata
- subset: dataset tag: honeyfeed
- lang: dataset language: en (English)
- themes: array of novel themes
- my_themes: array of additional novel themes
- prompt: writing prompt
- author: author name
- novel: novel ID
- id: chapter ID
- title: novel and chapter title in the form <chapter title> - <novel title>
- likes: novel like count
- views: novel view count
- q: q-score (quality score)

Q-Score Distribution

0.00: 499
0.10: 420
0.20: 2562
0.30: 0
0.40: 0
0.50: 13344
0.60: 9021
0.70: 5997
0.80: 4217
0.90: 1931
1.00: 801

Data Splits

No splitting of the data was performed.

Dataset Creation

Curation Rationale

TODO

Source Data

Initial Data Collection and Normalization

TODO

Who are the source language producers?

The authors of each novel.

Annotations

Annotation process

Chapter and novel titles were scraped alongside chapter text.

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. 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.