| | --- |
| | 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](https://www.honeyfeed.fm). |
| |
|
| | ### 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": "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. |
