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README.md

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-license: mit
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+# Codium Windurf System Monitoring Dataset
+
+## Overview
+This dataset contains system monitoring metrics collected from macOS systems. The data is collected at 1-second intervals and includes various system metrics useful for AI fine-tuning, time-series forecasting, anomaly detection, and predictive maintenance.
+
+## Dataset Details
+- **Dataset Name**: Codium Windurf System Monitoring Dataset
+- **Storage Limit**: 4GB
+- **Data Formats**: CSV & Parquet
+- **Collection Interval**: 1 second
+- **Programming Language**: Python (macOS)
+
+## Metrics Collected
+- `timestamp`: Date and time of collection
+- `cpu_usage`: CPU usage per core (%)
+- `memory_used_mb`: RAM usage (MB)
+- `disk_read_mb`: Disk read (MB)
+- `disk_write_mb`: Disk write (MB)
+- `net_sent_mb`: Network upload (MB)
+- `net_recv_mb`: Network download (MB)
+- `battery_status`: Battery percentage
+- `cpu_temp`: CPU temperature (°C)
+
+## Target Use Cases
+- AI Fine-Tuning (System Monitoring Models)
+- Time-Series Forecasting (CPU & Memory Usage)
+- Anomaly Detection (Overheating & Failures)
+- Predictive Maintenance (System Optimization)
+
+## Dataset Structure
+The dataset is available in two formats:
+1. `system_monitoring_dataset.csv`
+2. `system_monitoring_dataset.parquet`
+
+## Usage
+To use this dataset, simply download the files and load them using your preferred data analysis tools. The Parquet format is recommended for efficient storage and processing.
+
+## License
+MIT License
+
+## Contact
+For questions or feedback, please contact bniladridas@gmail.com