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--- |
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license: apache-2.0 |
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language: |
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- en |
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tags: |
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- novel |
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- training |
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- story |
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task_categories: |
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- text-classification |
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- text-generation |
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pretty_name: ScribbleHub17K |
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size_categories: |
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- 100K<n<1M |
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duplicated_from: RyokoAI/ScribbleHub17K |
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--- |
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# Dataset Card for ScribbleHub17K |
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*The BigKnow2022 dataset and its subsets are not yet complete. Not all information here may be accurate or accessible.* |
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## Dataset Description |
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- **Homepage:** (TODO) |
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- **Repository:** <https://github.com/RyokoAI/BigKnow2022> |
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- **Paper:** N/A |
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- **Leaderboard:** N/A |
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- **Point of Contact:** Ronsor/undeleted <[email protected]> |
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### Dataset Summary |
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ScribbleHub17K is a dataset consisting of text from over 373,000 chapters across approximately 17,500 series posted on the |
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original story sharing site [Scribble Hub](https://scribblehub.com). |
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### Supported Tasks and Leaderboards |
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This dataset is primarily intended for unsupervised training of text generation models; however, it may be useful for other purposes. |
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* text-classification |
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* text-generation |
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### Languages |
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* English |
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## Dataset Structure |
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### Data Instances |
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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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{ |
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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 (q-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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#### Q-Score Distribution |
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``` |
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0.00: 0 |
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0.10: 0 |
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0.20: 0 |
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0.30: 84 |
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0.40: 718 |
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0.50: 3775 |
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0.60: 22300 |
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0.70: 72581 |
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0.80: 137982 |
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0.90: 135800 |
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1.00: 59 |
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``` |
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### Data Splits |
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No splitting of the data was performed. |
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## Dataset Creation |
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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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#### Initial Data Collection and Normalization |
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TODO |
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#### Who are the source language producers? |
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The authors of each novel. |
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### Annotations |
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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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The dataset contains only works of fiction, and we do not believe it contains any PII. |
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## Considerations for Using the Data |
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### Social Impact of Dataset |
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This dataset is intended to be useful for anyone who wishes to train a model to generate "more entertaining" content. |
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It may also be useful for other languages depending on your language model. |
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### Discussion of Biases |
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This dataset is composed of fictional works by various authors. Because of this fact, the contents of this dataset will reflect |
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the biases of those authors. **Additionally, this dataset contains NSFW material and was not filtered. Beware of stereotypes.** |
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### Other Known Limitations |
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N/A |
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## Additional Information |
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### Dataset Curators |
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Ronsor Labs |
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### Licensing Information |
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Apache 2.0, for all parts of which Ronsor Labs or the Ryoko AI Production Committee may be considered authors. All other material is |
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distributed under fair use principles. |
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### Citation Information |
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``` |
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@misc{ryokoai2023-bigknow2022, |
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title = {BigKnow2022: Bringing Language Models Up to Speed}, |
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author = {Ronsor}, |
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year = {2023}, |
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howpublished = {\url{https://github.com/RyokoAI/BigKnow2022}}, |
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} |
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``` |
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### Contributions |
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Thanks to @ronsor (GH) for gathering this dataset. |
