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README.md

@@ -6,24 +6,24 @@ task_categories:
 language:
 - en
 tags:
-- lodging
+- seasonal-pricing
+- revenue-management
 - pms
 - occupancy
-- rooms
-- mindweave
-- test-data
-- travel
+- synthetic-data
+- booking
 - tourism
-- hospitality
+- lodging
+- mindweave
+- rooms
 - reservations
+- travel
+- test-data
 - hotel
-- seasonal-pricing
-- booking
-- revenue-management
-- synthetic-data
-pretty_name: Hotel Reservations & Booking Dataset
+- hospitality
+pretty_name: Hotel Reservations & Booking Dataset (Free Sample)
 size_categories:
-- 10K<n<100K
+- 1K<n<10K
 configs:
 - config_name: guests
   data_files: data/guests.csv
@@ -36,7 +36,9 @@ configs:
   data_files: data/rooms.csv
 ---
 
-# Hotel Reservations & Booking Dataset
+# Hotel Reservations & Booking Dataset (Free Sample)
+
+> **This is a free sample** with 2,180 rows. The full dataset has **21,808 rows** across 4 tables.
 
 Reservation records for a simulated boutique hotel chain (3 properties, 180 rooms)
 over 2 years. Includes guest profiles, room inventory, reservations with check-in/out,
@@ -50,24 +52,41 @@ Ideal for: hospitality PMS development, revenue management systems, demand forec
 booking engine testing, and hotel analytics dashboards.
 
 
-## Tables
+## Sample tables
 
-| Table | Rows |
-|-------|------|
+| Table | Sample Rows |
+|-------|------------|
+| guests | 500 |
+| properties | 3 |
+| reservations | 1,500 |
+| rooms | 177 |
+| **Total** | **2,180** |
+
+## Full dataset
+
+The complete dataset includes all tables with full row counts:
+
+| Table | Full Rows |
+|-------|----------|
 | guests | 8,000 |
 | properties | 3 |
 | reservations | 13,628 |
 | rooms | 177 |
 | **Total** | **21,808** |
 
-## 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)