Year: 2025
Type: preprint
Abstract: This paper introduces 3MEthTaskforce (https://3meth.github.io), a multi-source, multi-level, and multi-token Ethereum dataset addressing the limitations of single-source datasets. Integrating over 300 million transaction records, 3,880 token profiles, global market indicators, and Reddit sentiment data from 2014-2024, it enables comprehensive studies on user behavior, market sentiment, and token performance. 3MEthTaskforce defines benchmarks for user behavior prediction and token price prediction tasks, using 6 dynamic graph networks and 19 time-series models to evaluate performance. Its multimodal design supports risk analysis and market fluctuation modeling, providing a valuable resource for advancing blockchain analytics and decentralized finance research.
Source: arXiv (Cornell University)
Authors: Li, Haoyuan, Zhang, Mengxiao, Li, Maoyuan, Li, Jianzheng, Yang, Junyi, Deng, Shuangyan, Zhang, Zijian, Liu, Jiamou
Institutions: University of Auckland, Beijing Institute of Technology
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4406745308