Nhentai Dataset

A collection of Japanese manga in CBZ format from Nhentai, containing adult content manga with associated metadata.

Content Warning

This dataset contains adult content (NSFW) and is intended for research purposes only. Users must be of legal age and comply with all applicable laws and regulations.

Key Applications

• Image Analysis: Suitable for manga page segmentation, panel detection, and art style analysis
• Text Recognition: Useful for Japanese text detection and translation in manga contexts
• Content Classification: Applicable for genre classification and content tagging systems

Dataset Structure

The dataset is organized as a collection of CBZ files, each representing a complete manga volume with associated metadata.

Data Instances

Each instance represents a manga volume containing:

• Sequential manga pages as images
• Associated metadata (title, tags, etc.)
• Text content (if available)

Data Fields

• comic: List of images from the CBZ file
• title: Full title of the work
• media_id: Unique identifier
• num_favorites: Number of user favorites
• tag: List of content tags and themes
• language: List of available languages
• artist: List of credited artists
• category: Content category (e.g., "manga")
• num_pages: Total number of pages
• scanlator: Translation group (if any)
• group: List of publishing groups
• parody: List of source materials
• character: List of featured characters
• epos: Epoch timestamp of upload
• file_name: Original archive filename

Dataset Creation

Source Data

The data is sourced from publicly available manga on Nhentai, processed and stored in CBZ format for efficient access and preservation of image quality.

Preprocessing

• Images are preserved in their original resolution
• Metadata is extracted and standardized
• Files are organized in CBZ format for efficient storage and access

Considerations

Social Impact and Biases

This dataset contains adult content and may reflect various biases. Users should be aware of and account for these aspects in their applications.

Legal & Ethical Considerations

• Users must comply with age restrictions and local regulations
• The dataset should be used responsibly and in accordance with applicable laws
• Proper content filtering and access controls should be implemented in applications