PowerBench: EVCS Cyber Attack Datasets for Power Distribution Networks This dataset is part of the PowerBench benchmark suite designed to support machine learning research in resilient and secure power distribution networks. It includes one out of the three types of cyberattacks modeled on IEEE 34-bus, 123-bus, and 8500-node test feeders: EVCS Attacks Adversarial manipulation of the charging behavior of grid-connected electric vehicle charging stations (EVCS). Suitable for learning-based intrusion detection and localization of compromised EVCSs. Each attack dataset contains .pkl simulation files, .gml grid topology, and scenario metadata. All simulations were generated using OpenDSS via OpenDSSDirect.py. Please refer to the included README.md for detailed task guidance and loading instructions.