| --- |
| license: cc-by-nc-4.0 |
| task_categories: |
| - tabular-classification |
| - tabular-regression |
| language: |
| - en |
| tags: |
| - nginx |
| - access-logs |
| - synthetic-data |
| - observability |
| - http |
| - apache |
| - log-analysis |
| - mindweave |
| - web-server |
| - server-logs |
| - monitoring |
| - test-data |
| - api-logs |
| - siem |
| - anomaly-detection |
| - devops |
| pretty_name: Web Server Access Logs (Synthetic) (Free Sample) |
| size_categories: |
| - 1K<n<10K |
| configs: |
| - config_name: access_logs |
| data_files: data/access_logs.csv |
| default: true |
| - config_name: servers |
| data_files: data/servers.csv |
| --- |
| |
| # 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 |
| over 12 months. |
|
|
| Includes realistic patterns: weekday/weekend traffic variation, peak hours, |
| seasonal trends, bot traffic, and two injected anomalies (DDoS attempt and |
| database outage) for anomaly detection training. |
|
|
| Each log entry includes: timestamp, server, HTTP method, path, status code, |
| response time, bytes sent, user agent, IP address, and referrer. |
|
|
| Ideal for: DevOps monitoring dashboards, log analysis pipelines, anomaly |
| detection ML models, SIEM testing, and observability tool development. |
|
|
|
|
| ## 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 | Full Rows | |
| |-------|----------| |
| | access_logs | 50,045 | |
| | servers | 3 | |
| | **Total** | **50,048** | |
|
|
| **Formats included:** CSV, Parquet, SQLite |
|
|
| **[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. |
|
|
| 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: [https://mindweavetech.gumroad.com](https://mindweavetech.gumroad.com) |
|
|
