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Description
Ai4Privacy's dataset contains 426,660 entries of personal financial information annotated for Personally Identifiable Information (PII). It includes 2,587,698 PII annotations across 38 label types, 30 languages, and 37 regions. The dataset is part of the larger PII-Masking-3M corpus and was last updated on June 3, 2026.
Use Cases
Train PII detection models based on the 38 distinct PII labels mentioned in the description.
Benchmark multilingual NER systems using text in 30 different languages.
Develop financial text anonymization tools using the annotated personal financial information.
Study geographic variations in PII formats across the 37 covered regions.
Strengths
426,660 text entries provide a substantial corpus for model training.