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Manga Details Dataset
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About
This dataset provides detailed information on a vast collection of manga titles from various genres and authors. It includes a wide range of attributes such as title, author, status, genre, chapter count, and summary. The data was collected using the Mangaverse API, offering researchers, data enthusiasts, and manga fans a rich resource for analysis, recommendation systems, and trend studies in the world of Japanese comics. Key features of this dataset include multiple attributes for each manga, including id, title, status, and genre; detailed summaries providing insight into each manga's plot and themes; information on ongoing and completed series; author information for tracking prolific creators; and genre classifications for analysing manga categories.
Columns
- id: Unique identifier for each manga entry. This column can likely be ignored for analysis.
- title: The main title of the manga.
- sub_title: Subtitle or alternative title of the manga.
- status: The current publication status of the manga, such as 'ongoing' or 'completed'.
- poster_path: URL or file path to the manga's cover image.
- summary: A brief description or plot summary of the manga.
- authors: The name(s) of the manga's author(s).
- type: The category or format of the manga.
- genres: A list of genres associated with the manga.
Distribution
The dataset is typically provided as a data file in CSV format, specifically named
manga.csv. It contains 700 rows and 12 columns, with a file size of 767.23 kB. A sample file will be updated separately to the platform.Usage
This dataset is ideal for:
- Analysing trends in manga themes and genres.
- Developing recommendation systems for manga readers.
- Studying the productivity and popularity of manga authors.
- Creating visualisations of the manga landscape.
- Conducting text analysis on manga titles and summaries.
- Exploring the relationship between manga length and status.
Coverage
The data collection covers hundreds of manga titles globally, with a notable presence from Korea (39%) and Japan (37%). The dataset was listed on 11/06/2025, indicating its recency. Specific demographic scope or detailed historical time ranges beyond the listing date are not specified.
License
CC-BY-SA
Who Can Use It
This dataset is suitable for a wide range of users including:
- Researchers and data scientists for in-depth analysis and model development.
- Data enthusiasts and literary researchers exploring trends and patterns in Japanese comics.
- Manga fans interested in detailed information and classifications for their favourite titles.
- Users looking to develop recommendation systems or conduct text analysis on manga content.
Dataset Name Suggestions
- Manga Titles Database
- Japanese Comics Collection
- MangaVerse Data
- Manga Details Dataset
- Manga Genre Explorer
Attributes
Original Data Source: MangaVerse
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