Bots-in-Web3-P2E-Games/Dataset-for-Detecting-Bots-in-Web3-P2E-Games

Jeong, Woncheol; Choi, Sohee; Yoon, Jiwon

doi:10.4230/artifacts.28075

Artifact

Bots-in-Web3-P2E-Games/Dataset-for-Detecting-Bots-in-Web3-P2E-Games Dataset

Authors Woncheol Jeong , Sohee Choi, Jiwon Yoon

Part of: Collection: Supplementary Materials
License: Creative Commons Zero v1.0 Universal
Publication Date: 2026-10-02

Document Identifiers

DOI: 10.4230/artifacts.28075
URN: urn:nbn:de:0030-drops-280750

Author Details

Woncheol Jeong

Korea University, Seoul, Republic of Korea

Sohee Choi

Korea University, Seoul, Republic of Korea

Jiwon Yoon

Korea University, Seoul, Republic of Korea

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Version/Status

Content created at: 2026-05-25

Cite As Get BibTex

Woncheol Jeong, Sohee Choi, Jiwon Yoon. Bots-in-Web3-P2E-Games/Dataset-for-Detecting-Bots-in-Web3-P2E-Games (Dataset). Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2026) https://doi.org/10.4230/artifacts.28075

Description

Dataset accompanying the paper "Who Plays to Earn? Detecting Bots in Web3 Games via On-Chain Transactions Analysis". The labeling dataset computed for all 57,879 accounts across three Play-to-Earn games — Alien Worlds (WAX), DeFi Kingdoms (DFK Chain), and Splinterlands (Hive).

Subject Classification

Keywords

Detection
Bots
Web3-P2E-Games

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