Distribution of Extracted Personal Information in Annotated Data

5.5 KB of tabular data in XLS format describes the distribution of extracted personal information within an annotated dataset. Authored by Pegah Safari and last updated on May 11, 2026, the dataset is shared under a CC-BY-4.0 license on figshare.

Use Cases

• Analyze the prevalence of different personal information types based on the described distribution.
• Benchmark personal information extraction models against the annotated data mentioned.
• Study annotation patterns and potential biases in personal data labeling tasks.

Strengths

• Dataset is small (5.5 KB), facilitating quick download and inspection.
• Explicitly licensed as CC-BY-4.0, allowing for broad reuse and sharing.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection.

Provenance

Source

figshare

Freshness

Last updated 2026-05-11 17:27:37.