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README.md

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+---
+dataset_info:
+  features:
+  - name: "raw-request"
+    dtype: string
+  - name: "label"
+    dtype: string
+  - name: "attack_type"
+    dtype: string
+  config_name: web-attack-detection-dataset
+---
+
+# web-attack-detection-dataset
+
+
+A comprehensive dataset for web attack detection and classification, containing balanced HTTP traffic data with various attack types.
+
+This dataset includes:
+- Normal HTTP requests for benign traffic
+- Anomalous HTTP requests representing different attack vectors
+- 16 different attack types including SQL injection, XSS, LFI, etc.
+- Balanced distribution to prevent overfitting
+
+
+## Dataset Information
+
+
+- **Training set**: 105,757 records (11.5 MB)
+- **Validation set**: 15,855 records (1.7 MB)
+- **Total records**: 121,612
+- **Attack types**: 16 categories
+- **Format**: Apache Parquet (compressed)
+
+
+## Data Format
+
+- **raw-request**: Raw HTTP request string
+- **label**: Classification label ("normal" or "anomalous")
+- **attack_type**: Specific attack type (empty for normal requests)
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+# Load the dataset
+dataset = load_dataset("web-attack-detection-dataset")
+
+# Access train and test splits
+train_data = dataset['train']
+test_data = dataset['test']
+
+# Dataset info
+print(f"Training samples: {len(train_data)}")
+print(f"Test samples: {len(test_data)}")
+```
+
+## Statistics
+
+
+- **Training set**: 105,757 records (11.5 MB)
+- **Validation set**: 15,855 records (1.7 MB)
+- **Total records**: 121,612
+- **Attack types**: 16 categories
+- **Format**: Apache Parquet (compressed)
+
+
+## License
+
+Please check the original dataset license and usage terms.