EPII PFI Masking Preview: 400 Samples for Personal Financial Information Detection

EPII Personal Financial Information (PFI) Masking Preview Dataset provides 400 text samples demonstrating the structure and label taxonomy of a larger commercial dataset for identifying and masking sensitive financial data. The preview is representative of the full 100,000+ entry dataset created by ai4privacy. The dataset page was last updated on 2026-04 04.

Use Cases

• Training named entity recognition models to detect personal financial information based on the described label taxonomy.
• Benchmarking text anonymization and masking algorithms for privacy compliance.
• Developing synthetic data generation pipelines for financial text that excludes sensitive PFI.
• Studying the distribution and context of sensitive financial entities within text corpora.

Strengths

• Preview of 400 samples allows for initial assessment of the full 100,000+ entry dataset's structure and quality.
• Specialized focus on personal financial information (PFI) masking, a niche privacy task.
• Label taxonomy is explicitly mentioned, suggesting structured annotations.

Limitations

• Row count for the full dataset is only an estimate ('100,000+'); exact size is unknown.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

ai4privacy

Collection Method

Likely annotated text data, method unspecified.

Time Range

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Freshness

Last updated 2026-04-04 16:18:10; freshness should be verified.

Geography

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