---
license: apache-2.0
configs:
  - config_name: default
    data_files:
      - split: train
        path: dataset_statistics.csv
---
# Anomaly Detection Datasets

Collection of 20 preprocessed datasets for anomaly detection research.

## Structure

Each dataset directory contains:
- `{dataset}.csv` - cleaned datapoints ready for analysis
- `{dataset}.json` - dataset description and metadata  
- `preprocess.py` - data preparation script (filtering NA, normalization, etc.)

## Datasets

25 datasets with varying characteristics:
- **Size**: 80 to 50,000 datapoints
- **Features**: 6 to 42 columns
- **Anomaly ratio**: 0.4% to 33.3%

See `dataset_statistics.csv` for complete overview.

## Usage

```python
import pandas as pd
data = pd.read_csv('final_data/{dataset_name}/{dataset_name}.csv')
```