IndiaID-Bench: A PINCODE-Resolution UIDAI–Census–RGI Compilation for Identity-Infrastructure Anomaly Detection

IndiaID-Bench v1.0.0 PINCODE-resolution compilation of India's UIDAI (Aadhaar) public enrolment and update statistics, joined to Census 2011 district populations projected to 2026 via official RGI growth rates, with derived integrity/capacity metrics and unsupervised anomaly-detection outputs. Author: Mohammed Saad Shareef (ORCID: 0009-0004-1341-3557) · Independent Researcher, Hyderabad, India Version: 1.0.0 · License (this dataset): CC BY 4.0 Code: https://github.com/saad-research/aadhaar-sentinel (MIT) Companion paper: "Aadhaar-Sentinel: Dual-Metric Anomaly Detection for India's Identity Infrastructure" (submitted, IEEE BigData 2026). Files File Description indiaid_bench_v1.0.0.csv 32,898 PINCODE rows × 28 columns (schema in the README.md) district_name_map_v1.0.0.csv UIDAI→Census district reconciliation crosswalk with per-match provenance checksums.txt SHA-256 of both CSVs Row semantics (read first) Counts are row-level: pincode is NOT a unique key (a small number of PINCODEs span multiple districts and appear as multiple rows), and (pincode, district, state) is also not guaranteed unique. Do not deduplicate by pincode or join on it as a key; use boolean masks.