10,000 synthetic clinical records paired with token-level PHI spans, masking decisions, cryptographic audit hashes, RL reward signals, and leakage scores. Five configs covering text, ASR, imaging, waveform, and audio modalities. The only public dataset pairing PHI masking decisions with FHIR R4 audit trails, RL reward signals, and a formally modeled adversarial evasion scenario.
from datasets import load_dataset
