| 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') | |
| ``` |