Multi-source Multi-level Multi-token Ethereum Dataset and Benchmark Platform

TL;DR

The paper presents 3MEthTaskforce, a comprehensive multi-source Ethereum dataset with benchmarks for user behavior and token price prediction, supporting advanced blockchain analytics and DeFi research.

Contribution

It introduces a large-scale, multi-level, multi-token Ethereum dataset with benchmark tasks and evaluation models, addressing limitations of existing datasets.

Findings

Over 300 million transaction records included

Benchmark performance established for prediction tasks

Supports multimodal analysis for risk and market fluctuation

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.