Developer Releases 5.94 Billion TikTok Videos Dataset for Free on Hugging Face
By Mr.Xu
Published: · 2 views
Summary:A developer has released a dataset containing 5.94 billion TikTok videos, along with user profiles, comments, hashtags, and audio data, on Hugging Face. The dataset was collected using a reverse-engineering method, and while the data is publicly accessible, accessing it in this manner may violate TikTok's terms of service. The release includes a step-by-step tutorial and code, providing AI researchers with a valuable resource for analysis and model training.
Open-Sourcing 5.94 Billion TikTok Videos: A New Resource for AI Research
A developer known as Kuben Developer has announced the release of a dataset containing 5.94 billion TikTok videos, along with user profiles, comments, hashtags, and audio data, on Hugging Face. The dataset was collected using a reverse-engineering method, providing AI researchers with a rich resource for analysis and model training.
Key Features
- Data Scale: 5.94 billion videos
- Data Content: Videos, user profiles, comments, hashtags, audio, etc.
- Release Platform: Hugging Face
- Data Collection Method: The developer used a self-developed reverse-engineering method to extract data from the TikTok app
Technical Highlights
- Reverse Engineering: The developer successfully extracted data from multiple endpoints of the TikTok app, including videos, user profiles, and comments.
- Data Diversity: The dataset includes not only video data but also user interaction data (such as comments and replies) and metadata (such as hashtags and audio), enabling multi-modal AI research.
- Open Source Release: The dataset is released on Hugging Face, with detailed tutorials and code provided to facilitate researchers' use.
Industry Impact
- AI Research: The dataset offers new data resources for AI research, particularly in the fields of multi-modal learning and social media analysis.
- Data Privacy and Compliance: While the data is publicly accessible, the method of access may violate TikTok's terms of service, raising concerns about data privacy and compliance.
- Developer Tools: The tutorials and code provided by the developer offer practical tools for researchers, promoting the application and development of AI technology.
Recommendations for Developers
- Compliance: Researchers should be mindful of the compliance of data access methods and avoid violating TikTok's terms of service.
- Multi-Modal Research: It is recommended that researchers utilize the dataset for multi-modal AI research, exploring the fusion of video, audio, and text data.
Conclusion
Kuben Developer's open-source release provides valuable data resources for AI research while also sparking discussions about data privacy and compliance. Developers should use the dataset cautiously and stay informed about relevant legal and regulatory changes.
— END —Source: Reddit r/MachineLearning (2026-09-02)
Tags: #TikTok #Open Source Dataset #Reverse Engineering #Multi-Modal AI #Hugging Face
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