Anime Art Multicaptions With Over 6 Million High-Quality Descriptions

Anime Art Multicaptions V5.0 is a collection of over 6 million captions for anime and game artworks. The dataset features original character names and captions generated by top-tier vision-language models like Claude, GPT, and Gemini, covering a wide thematic range. About 20% of the most complex multi-character cases have been rechecked and corrected in a second pass.

Use Cases

• Train a text-to-image model using the over 6 million high-quality captions as conditioning prompts.
• Fine-tune a vision-language model to generate detailed descriptions of anime art, leveraging the structured caption formats.
• Analyze caption themes and complexity, utilizing the subset of multi-character cases that have been rechecked.
• Build a content filtering system by classifying captions across the dataset's wide thematic range from simple to NSFW.

Strengths

• Contains over 6 million captions, providing a large-scale resource for training.
• Captions are generated by top-tier vision-language models (Claude, GPT, Gemini), aiming for high accuracy and detail.
• Approximately 20% of the most complex multi-character captions have undergone a second review and correction pass.

Limitations

• The dataset is tagged 'Not For All Audiences', indicating the presence of NSFW content which may require careful filtering.
• Specific column structure, file formats, and exact sample data are not provided in the input, limiting initial assessment.
• The dataset's geographic and temporal coverage is not specified, which may affect generalizability for certain applications.

Provenance

Source

Hugging Face dataset by author Minthy.

Collection Method

Captions generated by AI vision-language models (Claude, GPT, Gemini) for anime/game artworks.

Freshness

Last updated on 2025-10-16.