A comprehensive dataset of over 28,000 anime titles from MyAnimeList.
Dataset Description
Context
This dataset represents a comprehensive snapshot of the MyAnimeList.net database as of July 16, 2025. It is designed to be a rich, clean, and accessible resource for data scientists, machine learning engineers, and anime enthusiasts. The data captures a wide array of information for over 28,000 unique anime titles, providing a deep look into the trends, metadata, and community ratings of the anime world.
Inspiration
The inspiration behind creating this dataset was to provide a robust foundation for a variety of data-driven projects. While other MyAnimeList datasets exist, they often become outdated. This project was inspired by the need for an up-to-date, meticulously documented dataset that could power:
- Advanced Recommendation Systems: Moving beyond simple genre matching to include studios, themes, and popularity metrics.
- In-depth Industry Analysis: Answering questions about how the anime industry has evolved over time.
- Natural Language Processing (NLP) on Synopses: Exploring narrative structures and themes within anime plot summaries.
- Engaging Data Visualizations: Creating interactive dashboards to help users explore the vast world of anime.
Related Datasets
-
NEOLAiA Degree Programs Ay 2024-2025
@euneolaia
-
AI Index Report (2022)
@owid