{
 "id": "mindweave/parking-violations",
 "owner": "mindweave",
 "name": "parking-violations",
 "downloads": 40,
 "likes": 1,
 "last_modified": "2026-04-12T04:06:08.000Z",
 "stated_licence": "cc-by-nc-4.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "tabular-classification",
  "tabular-regression"
 ],
 "citation": "> **This is a free sample** with 2,070 rows. The full dataset has **14,825 rows** across 3 tables.\n\nParking citation records for a simulated mid-size US city (population ~350K)\nover 2 years. 25,000 citations across 50 zones, with officer assignments,\nviolation types, fine amounts, and payment status tracking.\n\nFeatures location clustering (downtown hotspots), time-of-day patterns\n(meter violations peak 9-11 AM), repeat offenders, and two anomalies —\na parking meter system failure causing a citation surge and a holiday\nenforcement blitz in December.\n\nIdeal for: civic tech apps, GovTech dashboards, urban planning analytics,\nfine collection systems, and open data portal demos.",
 "signal": "restrictive",
 "reason": "The declared licence (cc-by-nc-4.0) is classified as having use restrictions.",
 "revision": "3a542e5af376e1fb64f1544ba9cb456a1e18f390",
 "stated_evidence": "https://huggingface.co/datasets/mindweave/parking-violations/blob/3a542e5af376e1fb64f1544ba9cb456a1e18f390/README.md",
 "file_evidence": "https://huggingface.co/datasets/mindweave/parking-violations/tree/3a542e5af376e1fb64f1544ba9cb456a1e18f390",
 "card_nc": false
}