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README.md

@@ -6,25 +6,25 @@ task_categories:
 language:
 - en
 tags:
-- synthetic-data
-- web-server
-- siem
+- nginx
 - access-logs
-- devops
+- synthetic-data
 - observability
 - http
-- server-logs
-- monitoring
+- apache
 - log-analysis
-- api-logs
 - mindweave
+- web-server
+- server-logs
+- monitoring
 - test-data
+- api-logs
+- siem
 - anomaly-detection
-- nginx
-- apache
-pretty_name: Web Server Access Logs (Synthetic)
+- devops
+pretty_name: Web Server Access Logs (Synthetic) (Free Sample)
 size_categories:
-- 10K<n<100K
+- 1K<n<10K
 configs:
 - config_name: access_logs
   data_files: data/access_logs.csv
@@ -33,7 +33,9 @@ configs:
   data_files: data/servers.csv
 ---
 
-# Web Server Access Logs (Synthetic)
+# Web Server Access Logs (Synthetic) (Free Sample)
+
+> **This is a free sample** with 5,003 rows. The full dataset has **50,048 rows** across 2 tables.
 
 Realistic HTTP access logs from a simulated SaaS company running an
 e-commerce API and marketing website. 50,000 requests across 3 servers
@@ -50,22 +52,37 @@ Ideal for: DevOps monitoring dashboards, log analysis pipelines, anomaly
 detection ML models, SIEM testing, and observability tool development.
 
 
-## Tables
+## Sample tables
+
+| Table | Sample Rows |
+|-------|------------|
+| access_logs | 5,000 |
+| servers | 3 |
+| **Total** | **5,003** |
+
+## Full dataset
+
+The complete dataset includes all tables with full row counts:
 
-| Table | Rows |
-|-------|------|
-| access_logs | 50,000 |
+| Table | Full Rows |
+|-------|----------|
+| access_logs | 50,045 |
 | servers | 3 |
-| **Total** | **50,003** |
+| **Total** | **50,048** |
 
-## 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)