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ETFD is a comprehensive, high‑quality dataset designed to advance research and development in fraud transaction detection on the Ethereum blockchain. Generated by ETDG, it addresses common challenges in public Ethereum fraud detection datasets such as single‑cardinality, high‑cardinality, missing values, and data encoding issues, thereby reducing model over‑fitting risk and improving performance.

This dataset contains 5,521 samples, each with five features: id, instruction, input, accepted, and rejected. The dataset size is 33,552,694.3497 bytes, download size 9,308,116 bytes. It includes only a training split located at data/train‑*.