https://github.com/shaido987/novel-dataset

Dataset with 10k+ novels.
https://github.com/shaido987/novel-dataset

dataset dataset-generation hacktoberfest novels novelupdates translated-novels

Last synced: about 1 month ago
JSON representation

Dataset with 10k+ novels.

• Host: GitHub
• URL: https://github.com/shaido987/novel-dataset
• Owner: shaido987
• Created: 2017-09-24T08:35:36.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2024-07-18T06:43:38.000Z (5 months ago)
• Last Synced: 2024-07-18T08:14:50.333Z (5 months ago)
• Topics: dataset, dataset-generation, hacktoberfest, novels, novelupdates, translated-novels
• Language: Jupyter Notebook
• Homepage:
• Size: 13.6 MB
• Stars: 30
• Watchers: 3
• Forks: 4
• Open Issues: 2
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        


  



---

Creates a dataset from novelupdates (https://www.novelupdates.com) containing information about translated novels.

The dataset contains translated English novels from eight original languages (Chinese, Japanese, Korean, Malaysian, Filipino, Indonesian, Khmer, and Thai). There is currently a total of **21,831** novels.  

Both individual novel statistics such as the number of chapters and ranking as well as relations to other novels are available.

Current Version: 0.1.4  

Updated on 2024-07-10

Dataset columns:

* General Information

  * Novel ID

  * Name

  * Associated Names

  * Original Langauge	

  * Author / Authors

  * Genres

  * Tags

* Publishing Information

  * Start Year

  * Licensed

  * Original Publisher

  * English Publisher

* Chapter Information

  * Number of Chapters (original language)

  * Completed (original language)

  * Number of Chapters (translation)

  * Completed (translation)

* Release Information (translation)

  * Release Frequency

  * Activity Weekly Rank

  * Activity Monthly Rank

  * Activity All-time Rank

* Community Information (translation)

  * On Number of Reading Lists

  * Reading List Monthly Rank

  * Reading List All-time Rank

  * Rating

  * Rating Votes

* Related Series Information

  * Related Series IDs

  * Recommended Series IDs

  * Recommendation List IDs