Personal Dataset: Publicly Available Personal Information for Information Extraction

A manually curated dataset of publicly available personal information collected from open web sources. It is designed for research and development in information extraction, entity recognition, and structured data analysis. The dataset was created by LIghtJUNction and was last updated on 2026-05-29.

Use Cases

• Train named entity recognition models based on publicly available personal information.
• Develop information extraction pipelines for structured data analysis from web sources.
• Benchmark entity linking systems using manually curated personal data.
• Research privacy-preserving data processing techniques on public personal records.

Strengths

• Manually curated by the author LIghtJUNction.
• Explicitly designed for information extraction and entity recognition research.
• Contains only information that is publicly accessible according to the description.

Limitations

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

Provenance

Source

Open web sources.

Collection Method

Manually curated.

Freshness

Last updated 2026-05-29 16:19:37; freshness should be verified.