---
license: apache-2.0
language:
- en
tags:
- novel
- training
- story
task_categories:
- text-classification
- text-generation
pretty_name: ScribbleHub Stories
size_categories:
- 100K<n<1M
---

# Dataset Card for ScribbleHub Stories

*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

ScribbleHub Stories 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

```

### Data Fields

* **text**: the actual chapter text
* **title**: the series chapter title
* **tag**: source-identifier tag: "scribblehub"
* **id**: an ID in the format `scribblehub.<series>.<chapter>` where <series> and <chapter> are
  both numeric IDs.

### 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

TODO

#### Who are the annotators?

TODO

### 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.