| --- |
| license: cc-by-sa-3.0 |
| language: |
| - en |
| tags: |
| - wiki |
| - training |
| task_categories: |
| - text-classification |
| - text-generation |
| pretty_name: Fandom23K Wikis |
| size_categories: |
| - 10M<n<100M |
| --- |
| |
| # Dataset Card for Fandom23K |
|
|
| *The BigKnow2022 dataset and its subsets are not yet complete. Not all information here may be accurate or accessible.* |
|
|
| ## Dataset Description |
|
|
| - **Homepage:** (TODO) https://docs.ryokoai.com/docs/training/dataset#Fandom22K |
| - **Repository:** <https://github.com/RyokoAI/BigKnow2022> |
| - **Paper:** N/A |
| - **Leaderboard:** N/A |
| - **Point of Contact:** Ronsor/undeleted <ronsor@ronsor.com> |
|
|
| ### Dataset Summary |
|
|
| Fandom23K is a dataset composed of 15,616,749 articles scraped from approximately 23,665 Fandom.com wikis between March 14 and March 18, 2023. |
| It is a subset of the upcoming BigKnow2022 dataset. |
|
|
| ### 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 |
|
|
| ### Languages |
|
|
| * English |
| * Potentially other languages in much smaller quantities. |
|
|
| ## Dataset Structure |
|
|
| ### Data Instances |
|
|
| ```json |
| { |
| "tag": "fandom.wikia2011", |
| "text": "# Add Your Wiki's Highlights\n\nWrite the text of your article here!-_-\n\n", |
| "title": "Add Your Wiki's Highlights" |
| } |
| { |
| "tag": "fandom.wikia2011", |
| "text": "# Add Your Wiki's Highlights!\n\nWikia wants to hear from you! What significant milestones did your wiki experience in 2011? What cool things did the community try out?\nCreate a page for the wiki you're most active on! Be sure to add it to the Entertainment, Gaming, or Lifestyle categories so it shows up in the right place!\n\n", |
| "title": "Add Your Wiki's Highlights!" |
| } |
| { |
| "tag": "fandom.wikia2011", |
| "text": "# Assassins Creed Wiki 2011\n\nIn 2011, Assassin's Creed Wiki tested new Wikia features such as Message Wall, Chat, and New Layouts.\n\n", |
| "title": "Assassins Creed Wiki 2011" |
| } |
| ``` |
|
|
| ### Data Fields |
|
|
| * **text**: the actual article text |
| * **title**: the article title |
| * **tag**: text source tag, in the following format: `fandom.<wiki name>` |
|
|
| ### Data Splits |
|
|
| No splitting of the data was performed. |
|
|
| ## Dataset Creation |
|
|
| ### Curation Rationale |
|
|
| Fandom23K provides an up-to-date corpus containing pop culture and media information spanning a variety of interests and |
| hobbies. Previous datasets containing such information are either part of a large and harder-to-handle whole, such as |
| Common Crawl, do not provide enough variety, or are simply outdated. |
|
|
| ### Source Data |
|
|
| #### Initial Data Collection and Normalization |
|
|
| *More information about any referenced scripts, commands, or programs used may be found in the BigKnow2022 GitHub repository.* |
|
|
| First, a list of active Fandom wikis was gathered into a text file. Active is defined as "having at least 250 images on the wiki." |
| This list was gathered in early January 2023, despite the actual wiki content being more recent. |
|
|
| Second, the `scrape_fandom.py` script was used to generate and download an up to date dump for each of the wikis. |
|
|
| Third, `wikiextractor` was used to process these dumps into single XML files containing each article stripped of all formatting |
| besides links. |
|
|
| Fourth, `dump2jsonl` was used to convert the XML files into JSONL files with an article per line. Light markdown formatting was |
| applied, converting the HTML links to markdown-formatted links, and automatically making the article's title a header. |
|
|
| Finally, the JSONL files were concatenated into the Fandom23K dataset. The version uploaded to this repository, however, is split |
| into multiple files, numbered 00 through 04 inclusive. |
|
|
| #### Who are the source language producers? |
|
|
| The contributors of each wiki. |
|
|
| ### Annotations |
|
|
| #### Annotation process |
|
|
| Wiki names and article titles were collected alongside the article text. Other than that automated process, no annotation was performed. |
|
|
| #### Who are the annotators? |
|
|
| There were no human annotators. |
|
|
| ### Personal and Sensitive Information |
|
|
| The dataset was collected from public wiki data. As a result, we do not believe |
| it should contain any PII and did not inspect it further. |
|
|
| ## 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 requiring |
| knowledge of popular culture or a particular niche. |
|
|
| ### Discussion of Biases |
|
|
| This dataset contains text from random Internet users and generally should not be used as an authoritative source of information. |
| Additionally, this dataset was not filtered at all. We recommmend its usage for research purposes only. |
|
|
| ### Other Known Limitations |
|
|
| This dataset is based on a list of active wikis from January 2023, even though the actual wiki content may be more recent. Additionally, |
| smaller yet still active wikis may have been excluded. |
|
|
| ## Additional Information |
|
|
| ### Dataset Curators |
|
|
| Ronsor Labs |
|
|
| ### Licensing Information |
|
|
| CC-BY-SA 3.0, except for any portions which state otherwise. |
|
|
| ### 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 for gathering this dataset. |
|
|
