TY - GEN
T1 - Multi-source Multi-level Multi-token Ethereum Dataset and Benchmark Platform
AU - Li, Haoyuan
AU - Zhang, Mengxiao
AU - Li, Maoyuan
AU - Li, Jianzheng
AU - Zhang, Zijian
AU - Yang, Junyi
AU - Deng, Shuangyan
AU - Liu, Jiamou
N1 - Publisher Copyright:
© 2026 Owner/Author.
PY - 2026/4/12
Y1 - 2026/4/12
N2 - The rapid growth of the cryptocurrency ecosystem has intensified the need for multimodal data that captures the interplay among user behavior, market dynamics, and public sentiment. Existing public datasets remain fragmented and cannot support such integrated analysis. We present 3MEthTaskforce1, a large-scale multimodal Ethereum dataset that integrates 303 million transactions across 3,880 tokens, token histories, global market indicators, and LLM-annotated Reddit sentiment from 2014-2024, all aligned on a daily timeline. The dataset enables tasks such as user behavior prediction and market trend modeling. This paper reports benchmark results for user behavior prediction, while the project website provides additional evaluations. The dataset is publicly available via Figshare2, where it has been downloaded more than four hundred times, and the codebase is released at https://github.com/Haoyuan-Li-UoA/3MEthTaskforce.
AB - The rapid growth of the cryptocurrency ecosystem has intensified the need for multimodal data that captures the interplay among user behavior, market dynamics, and public sentiment. Existing public datasets remain fragmented and cannot support such integrated analysis. We present 3MEthTaskforce1, a large-scale multimodal Ethereum dataset that integrates 303 million transactions across 3,880 tokens, token histories, global market indicators, and LLM-annotated Reddit sentiment from 2014-2024, all aligned on a daily timeline. The dataset enables tasks such as user behavior prediction and market trend modeling. This paper reports benchmark results for user behavior prediction, while the project website provides additional evaluations. The dataset is publicly available via Figshare2, where it has been downloaded more than four hundred times, and the codebase is released at https://github.com/Haoyuan-Li-UoA/3MEthTaskforce.
KW - benchmark
KW - ethereum dataset
KW - user behavior modeling
UR - https://www.scopus.com/pages/publications/105038592263
U2 - 10.1145/3774904.3792899
DO - 10.1145/3774904.3792899
M3 - Conference contribution
AN - SCOPUS:105038592263
T3 - WWW 2026 - Proceedings of the ACM Web Conference 2026
SP - 8517
EP - 8520
BT - WWW 2026 - Proceedings of the ACM Web Conference 2026
PB - Association for Computing Machinery, Inc
T2 - 35th ACM Web Conference, WWW 2026
Y2 - 29 June 2026 through 3 July 2026
ER -