README.md

---
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](https://scribblehub.com).

### 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

```json
{
  "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.