A dataset from a Web3 news platform containing user interaction data. It includes news articles about cryptocurrency, blockchain, and DeFi, along with user actions like likes, collects, and comments, and anonymized user profiles. The dataset was authored by Neon-Jing and last updated on Hugging Face in January 2026.
Use Cases
- Train news recommendation models based on user interaction data like likes and collects.
- Analyze user engagement patterns in Web3 news content based on comment and bookmarking behavior.
- Build user profile models for personalization based on anonymized user information.
- Conduct content analysis on cryptocurrency and blockchain news articles.
Strengths
- Includes multiple data types: articles, user interactions, and user profiles.
- Covers key Web3 topics like cryptocurrency, blockchain, and DeFi.
- Supports multilingual content, including Chinese (Simplified) and English.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
- Source
- Hugging Face dataset by author Neon-Jing.
- Collection Method
- Likely collected from user interactions on a Web3 news platform.
- Time Range
- null
- Freshness
- Last updated 2026-01 09 15:47:32; freshness should be verified.
- Geography
- null