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README.md

@@ -6,24 +6,24 @@ task_categories:
 language:
 - en
 tags:
-- law-enforcement
-- open-data
-- parking
-- mindweave
-- citations
-- govtech
-- municipal
-- test-data
+- city-data
 - violations
-- transportation
-- urban-planning
+- municipal
+- citations
 - synthetic-data
+- mindweave
+- govtech
 - fines
+- law-enforcement
+- test-data
 - civic-data
-- city-data
-pretty_name: City Parking Violations & Citations Dataset
+- parking
+- urban-planning
+- open-data
+- transportation
+pretty_name: City Parking Violations & Citations Dataset (Free Sample)
 size_categories:
-- 10K<n<100K
+- 1K<n<10K
 configs:
 - config_name: citations
   data_files: data/citations.csv
@@ -34,7 +34,9 @@ configs:
   data_files: data/zones.csv
 ---
 
-# City Parking Violations & Citations Dataset
+# City Parking Violations & Citations Dataset (Free Sample)
+
+> **This is a free sample** with 2,070 rows. The full dataset has **14,825 rows** across 3 tables.
 
 Parking citation records for a simulated mid-size US city (population ~350K)
 over 2 years. 25,000 citations across 50 zones, with officer assignments,
@@ -49,23 +51,39 @@ Ideal for: civic tech apps, GovTech dashboards, urban planning analytics,
 fine collection systems, and open data portal demos.
 
 
-## Tables
+## Sample tables
+
+| Table | Sample Rows |
+|-------|------------|
+| citations | 2,000 |
+| officers | 20 |
+| zones | 50 |
+| **Total** | **2,070** |
 
-| Table | Rows |
-|-------|------|
+## Full dataset
+
+The complete dataset includes all tables with full row counts:
+
+| Table | Full Rows |
+|-------|----------|
 | citations | 14,755 |
 | officers | 20 |
 | zones | 50 |
 | **Total** | **14,825** |
 
-## Formats
+**Formats included:** CSV, Parquet, SQLite
 
-- CSV (in `data/` directory)
-- Parquet (available in full version)
-- SQLite (available in full version)
+**[Get the full dataset on Gumroad](https://mindweavetech.gumroad.com)**
 
 ## About
 
-Generated by [Mindweave Technologies](https://mindweave.tech) — realistic synthetic datasets for developers, QA teams, and data engineers.
+Generated by [Mindweave Technologies](https://mindweave.tech) -- realistic synthetic datasets for developers, QA teams, and data engineers.
+
+Every dataset features:
+- Enforced foreign key relationships across all tables
+- Realistic statistical distributions (not uniform random)
+- Temporal patterns (seasonal, time-of-day, day-of-week)
+- Injected anomalies for ML training and anomaly detection
+- Deterministic generation (same seed = same output)
 
-Browse all datasets: [mindweavetech.gumroad.com](https://mindweavetech.gumroad.com)
+Browse all datasets: [https://mindweavetech.gumroad.com](https://mindweavetech.gumroad.com)