| | --- |
| | license: mit |
| | configs: |
| | - config_name: anomaly |
| | data_files: |
| | - split: train |
| | path: anomaly/train-* |
| | - config_name: autocorrelation_long_dependency |
| | data_files: |
| | - split: train |
| | path: autocorrelation_long_dependency/train-* |
| | - config_name: complex_multivariate_struct0 |
| | data_files: |
| | - split: train |
| | path: complex_multivariate_struct0/train-* |
| | - config_name: complex_multivariate_struct1 |
| | data_files: |
| | - split: train |
| | path: |
| | - SynTS_Dataset/Dataset_generated_complex_multivariate/dataset1_Macro-Economy_raw_length5000.csv |
| | description: 'Synthetic time series data from Dataset_generated_complex_multivariate |
| | with columns: consumer_spending, date, gdp_growth, inflation, interest_rate, unemployment_rate' |
| | - config_name: complex_multivariate_struct2 |
| | data_files: |
| | - split: train |
| | path: |
| | - SynTS_Dataset/Dataset_generated_complex_multivariate/dataset1_Weather-Sales_raw_length5000.csv |
| | description: 'Synthetic time series data from Dataset_generated_complex_multivariate |
| | with columns: beverage_sales, date, ice_cream_sales, rainfall, temperature, umbrella_sales' |
| | - config_name: complex_multivariate_struct3 |
| | data_files: |
| | - split: train |
| | path: |
| | - SynTS_Dataset/Dataset_generated_complex_multivariate/dataset1_SIR-Model_raw_length5000.csv |
| | description: 'Synthetic time series data from Dataset_generated_complex_multivariate |
| | with columns: Feature1, Feature2, Feature3, date' |
| | - config_name: complex_multivariate_struct4 |
| | data_files: |
| | - split: train |
| | path: |
| | - SynTS_Dataset/Dataset_generated_complex_multivariate/dataset1_Intervention-Effect_raw_length5000.csv |
| | description: 'Synthetic time series data from Dataset_generated_complex_multivariate |
| | with columns: date, economic_growth, employment_rate, market_confidence, negative_indicator' |
| | - config_name: complex_multivariate_struct5 |
| | data_files: |
| | - split: train |
| | path: |
| | - SynTS_Dataset/Dataset_generated_complex_multivariate/dataset1_Ad-Sales_raw_length5000.csv |
| | description: 'Synthetic time series data from Dataset_generated_complex_multivariate |
| | with columns: ad_spend, date, sales' |
| | - config_name: complex_multivariate_struct6 |
| | data_files: |
| | - split: train |
| | path: |
| | - SynTS_Dataset/Dataset_generated_complex_multivariate/dataset1_Supply-Demand-Price_raw_length5000.csv |
| | description: 'Synthetic time series data from Dataset_generated_complex_multivariate |
| | with columns: date, demand, price, supply' |
| | - config_name: complex_univariate |
| | data_files: |
| | - split: train |
| | path: |
| | - SynTS_Dataset/Dataset_generated_complex_univariate/dataset1_Network-Traffic_raw_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_complex_univariate/dataset1_Economic-Indicator_raw_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_complex_univariate/dataset1_Temperature-Sensor_raw_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_complex_univariate/dataset1_Website-Traffic_raw_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_complex_univariate/dataset1_Industrial-Sensor_raw_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_complex_univariate/dataset1_Industrial-Sensor-Normal_raw_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_complex_univariate/dataset1_Electricity-Consumption_raw_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_complex_univariate/dataset1_Stock-Price_raw_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_complex_univariate/dataset1_IoT-Sensor-Battery_raw_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_complex_univariate/dataset1_Retail-Sales_raw_length5000.csv |
| | description: 'Synthetic time series data from Dataset_generated_complex_univariate |
| | with columns: Feature1, date' |
| | - config_name: cross_variable_learning_struct0 |
| | data_files: |
| | - split: train |
| | path: |
| | - SynTS_Dataset/Dataset_generated_cross-variable-learning/dataset1_Lag48_raw_length5000.csv |
| | description: 'Synthetic time series data from Dataset_generated_cross-variable-learning |
| | with columns: FeatureA_WhiteNoise, FeatureB_Lag48, date' |
| | - config_name: cross_variable_learning_struct1 |
| | data_files: |
| | - split: train |
| | path: |
| | - SynTS_Dataset/Dataset_generated_cross-variable-learning/dataset1_Lag10_raw_length5000.csv |
| | description: 'Synthetic time series data from Dataset_generated_cross-variable-learning |
| | with columns: FeatureA_WhiteNoise, FeatureB_Lag10, date' |
| | - config_name: cross_variable_learning_struct2 |
| | data_files: |
| | - split: train |
| | path: |
| | - SynTS_Dataset/Dataset_generated_cross-variable-learning/dataset1_SinNoiseComposite_raw_length5000.csv |
| | description: 'Synthetic time series data from Dataset_generated_cross-variable-learning |
| | with columns: FeatureA_Sin, FeatureB_Noise_0dB, FeatureC_Sum, date' |
| | - config_name: cross_variable_learning_struct3 |
| | data_files: |
| | - split: train |
| | path: |
| | - SynTS_Dataset/Dataset_generated_cross-variable-learning/dataset1_Lag5_raw_length5000.csv |
| | description: 'Synthetic time series data from Dataset_generated_cross-variable-learning |
| | with columns: FeatureA_WhiteNoise, FeatureB_Lag5, date' |
| | - config_name: cross_variable_learning_struct4 |
| | data_files: |
| | - split: train |
| | path: |
| | - SynTS_Dataset/Dataset_generated_cross-variable-learning/dataset1_Lag24_raw_length5000.csv |
| | description: 'Synthetic time series data from Dataset_generated_cross-variable-learning |
| | with columns: FeatureA_WhiteNoise, FeatureB_Lag24, date' |
| | - config_name: datasetlength |
| | data_files: |
| | - split: train |
| | path: |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Exponential-Trend_SNR0dB_length20000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Exponential-Trend_raw_length50000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Linear-Trend_SNR0dB_length20000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Double-Sin_SNR0dB_length1000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Five-Sin_SNR-10dB_length50000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Quadratic-Function_SNR20dB_length20000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Quadratic-Function_SNR0dB_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Exponential-Trend_SNR0dB_length10000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Five-Sin_raw_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Exponential-Trend_SNR20dB_length50000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Sin0.005_SNR-10dB_length10000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Quadratic-Function_SNR20dB_length50000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Exponential-Trend_raw_length10000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Linear-Trend_SNR-10dB_length20000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Exponential-Trend_raw_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Five-Sin_SNR0dB_length10000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Double-Sin_raw_length10000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Linear-Trend_SNR0dB_length10000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Double-Sin_SNR0dB_length10000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Linear-Trend_raw_length20000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Linear-Trend_SNR20dB_length10000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Sin0.005_raw_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Five-Sin_SNR20dB_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Exponential-Trend_SNR-10dB_length10000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Quadratic-Function_SNR20dB_length10000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Exponential-Trend_SNR20dB_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Sin0.005_SNR20dB_length1000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Linear-Trend_SNR-10dB_length50000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Exponential-Trend_raw_length1000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Exponential-Trend_SNR-10dB_length1000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Quadratic-Function_SNR20dB_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Five-Sin_SNR20dB_length10000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Quadratic-Function_SNR-10dB_length10000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Five-Sin_raw_length10000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Sin0.005_SNR-10dB_length20000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Quadratic-Function_SNR0dB_length50000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Five-Sin_SNR20dB_length20000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Linear-Trend_SNR20dB_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Quadratic-Function_SNR-10dB_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Sin0.005_SNR20dB_length50000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Sin0.005_SNR-10dB_length50000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Sin0.005_SNR0dB_length1000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Quadratic-Function_raw_length10000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Sin0.005_SNR20dB_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Five-Sin_raw_length50000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Linear-Trend_raw_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Double-Sin_SNR20dB_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Exponential-Trend_SNR20dB_length20000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Exponential-Trend_SNR0dB_length50000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Exponential-Trend_SNR-10dB_length20000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Sin0.005_raw_length1000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Five-Sin_SNR20dB_length50000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Five-Sin_raw_length20000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Double-Sin_SNR20dB_length1000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Sin0.005_SNR20dB_length10000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Sin0.005_SNR20dB_length20000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Double-Sin_SNR0dB_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Linear-Trend_SNR0dB_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Double-Sin_SNR-10dB_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Sin0.005_SNR0dB_length50000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Five-Sin_SNR-10dB_length20000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Linear-Trend_SNR20dB_length1000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Sin0.005_SNR0dB_length20000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Double-Sin_SNR-10dB_length1000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Double-Sin_SNR20dB_length20000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Double-Sin_raw_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Quadratic-Function_SNR-10dB_length1000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Sin0.005_SNR0dB_length10000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Quadratic-Function_SNR0dB_length1000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Quadratic-Function_raw_length1000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Quadratic-Function_SNR-10dB_length50000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Sin0.005_SNR0dB_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Quadratic-Function_raw_length50000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Quadratic-Function_SNR0dB_length20000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Linear-Trend_SNR-10dB_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Linear-Trend_raw_length10000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Quadratic-Function_SNR-10dB_length20000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Five-Sin_SNR0dB_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Double-Sin_SNR-10dB_length50000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Exponential-Trend_SNR0dB_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Exponential-Trend_SNR-10dB_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Exponential-Trend_raw_length20000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Quadratic-Function_SNR0dB_length10000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Sin0.005_raw_length20000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Double-Sin_SNR-10dB_length10000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Double-Sin_SNR-10dB_length20000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Double-Sin_SNR20dB_length10000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Five-Sin_SNR-10dB_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Double-Sin_raw_length50000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Sin0.005_raw_length10000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Double-Sin_SNR0dB_length20000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Double-Sin_SNR0dB_length50000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Five-Sin_raw_length1000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Exponential-Trend_SNR20dB_length10000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Exponential-Trend_SNR20dB_length1000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Linear-Trend_raw_length50000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Linear-Trend_SNR20dB_length50000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Five-Sin_SNR0dB_length50000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Five-Sin_SNR0dB_length20000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Sin0.005_SNR-10dB_length1000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Linear-Trend_SNR0dB_length1000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Five-Sin_SNR20dB_length1000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Exponential-Trend_SNR0dB_length1000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Five-Sin_SNR-10dB_length1000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Sin0.005_raw_length50000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Quadratic-Function_raw_length20000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Five-Sin_SNR-10dB_length10000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Linear-Trend_SNR-10dB_length1000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Quadratic-Function_SNR20dB_length1000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Quadratic-Function_raw_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Linear-Trend_SNR-10dB_length10000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Linear-Trend_SNR0dB_length50000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Linear-Trend_SNR20dB_length20000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Double-Sin_raw_length20000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Sin0.005_SNR-10dB_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Five-Sin_SNR0dB_length1000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Double-Sin_SNR20dB_length50000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Exponential-Trend_SNR-10dB_length50000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Linear-Trend_raw_length1000.csv |
| | - SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Double-Sin_raw_length1000.csv |
| | description: 'Synthetic time series data from Dataset_generated_datasetlength with |
| | columns: Feature1, date' |
| | - config_name: longdistance |
| | data_files: |
| | - split: train |
| | path: |
| | - SynTS_Dataset/Dataset_generated_longdistance/dataset1_twopulse-triangles_raw_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_longdistance/dataset1_Triangle-Wave0.0025_raw_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_longdistance/dataset1_Triangle-Wave0.005_raw_length5000.csv |
| | description: 'Synthetic time series data from Dataset_generated_longdistance with |
| | columns: Feature1, date' |
| | - config_name: noise |
| | data_files: |
| | - split: train |
| | path: |
| | - SynTS_Dataset/Dataset_generated_noise/dataset1_Sin0.05_SNR0dB_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_noise/dataset1_Sin0.05_SNR20dB_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_noise/dataset1_Double-Sin_SNR10dB_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_noise/dataset1_Quadratic-Function_SNR0dB_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_noise/dataset1_Five-Sin_raw_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_noise/dataset1_Logistic-Trend_SNR10dB_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_noise/dataset1_Quadratic-Function_SNR30dB_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_noise/dataset1_Logistic-Trend_point-anomaly_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_noise/dataset1_Linear-Trend_SNR30dB_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_noise/dataset1_Linear-Trend_point-anomaly_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_noise/dataset1_Sin0.05_raw_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_noise/dataset1_Logistic-Trend_SNR20dB_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_noise/dataset1_Double-Sin_pulse-anomaly_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_noise/dataset1_Five-Sin_SNR20dB_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_noise/dataset1_Quadratic-Function_SNR20dB_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_noise/dataset1_Logistic-Trend_SNR30dB_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_noise/dataset1_Linear-Trend_SNR20dB_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_noise/dataset1_Quadratic-Function_SNR-10dB_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_noise/dataset1_Logistic-Trend_pulse-anomaly_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_noise/dataset1_Quadratic-Function_pulse-anomaly_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_noise/dataset1_Quadratic-Function_point-anomaly_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_noise/dataset1_Five-Sin_point-anomaly_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_noise/dataset1_Linear-Trend_raw_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_noise/dataset1_Double-Sin_SNR20dB_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_noise/dataset1_Logistic-Trend_SNR0dB_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_noise/dataset1_Double-Sin_SNR0dB_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_noise/dataset1_Linear-Trend_SNR0dB_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_noise/dataset1_Double-Sin_SNR-10dB_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_noise/dataset1_Linear-Trend_SNR10dB_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_noise/dataset1_Double-Sin_raw_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_noise/dataset1_Sin0.05_SNR10dB_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_noise/dataset1_Five-Sin_SNR10dB_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_noise/dataset1_Five-Sin_pulse-anomaly_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_noise/dataset1_Quadratic-Function_SNR10dB_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_noise/dataset1_Sin0.05_SNR-10dB_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_noise/dataset1_Linear-Trend_SNR-10dB_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_noise/dataset1_Five-Sin_SNR0dB_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_noise/dataset1_Double-Sin_point-anomaly_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_noise/dataset1_Linear-Trend_pulse-anomaly_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_noise/dataset1_Double-Sin_SNR30dB_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_noise/dataset1_Five-Sin_SNR-10dB_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_noise/dataset1_Sin0.05_SNR30dB_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_noise/dataset1_Five-Sin_SNR30dB_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_noise/dataset1_Logistic-Trend_raw_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_noise/dataset1_Quadratic-Function_raw_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_noise/dataset1_Sin0.05_pulse-anomaly_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_noise/dataset1_Sin0.05_point-anomaly_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_noise/dataset1_Logistic-Trend_SNR-10dB_length5000.csv |
| | description: 'Synthetic time series data from Dataset_generated_noise with columns: |
| | Feature1, date' |
| | - config_name: period |
| | data_files: |
| | - split: train |
| | path: |
| | - SynTS_Dataset/Dataset_generated_period/dataset1_Triple-Sin_raw_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_period/dataset1_Five-Sin_raw_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_period/dataset1_Sin0.05_raw_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_period/dataset1_Sin0.005_raw_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_period/dataset1_Ten-Sin_raw_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_period/dataset1_Double-Sin_raw_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_period/dataset1_Sawtooth-Wave_raw_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_period/dataset1_Triangle-Wave_raw_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_period/dataset1_Square-Wave_raw_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_period/dataset1_Exp-Sine-Wave_raw_length5000.csv |
| | description: 'Synthetic time series data from Dataset_generated_period with columns: |
| | Feature1, date' |
| | - config_name: trend |
| | data_files: |
| | - split: train |
| | path: |
| | - SynTS_Dataset/Dataset_generated_trend/dataset1_Gompertz-Trend_raw_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_trend/dataset1_Step-Function_raw_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_trend/dataset1_Power-Law-Trend_raw_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_trend/dataset1_Exponential-Trend_raw_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_trend/dataset1_Negative-Exponential-Trend_raw_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_trend/dataset1_Linear-Trend_raw_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_trend/dataset1_Logarithmic-Function_raw_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_trend/dataset1_Piecewise-Linear_raw_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_trend/dataset1_Logistic-Trend_raw_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_trend/dataset1_Gaussian-Trend_raw_length5000.csv |
| | - SynTS_Dataset/Dataset_generated_trend/dataset1_Quadratic-Function_raw_length5000.csv |
| | description: 'Synthetic time series data from Dataset_generated_trend with columns: |
| | Feature1, date' |
| | task_categories: |
| | - time-series-forecasting |
| | dataset_info: |
| | - config_name: anomaly |
| | features: |
| | - name: date |
| | dtype: int64 |
| | - name: Feature1 |
| | dtype: float64 |
| | splits: |
| | - name: train |
| | num_bytes: 5760000 |
| | num_examples: 360000 |
| | download_size: 5378809 |
| | dataset_size: 5760000 |
| | - config_name: autocorrelation_long_dependency |
| | features: |
| | - name: date |
| | dtype: int64 |
| | - name: Feature1 |
| | dtype: float64 |
| | splits: |
| | - name: train |
| | num_bytes: 4000000 |
| | num_examples: 250000 |
| | download_size: 3735387 |
| | dataset_size: 4000000 |
| | - config_name: complex_multivariate_struct0 |
| | features: |
| | - name: date |
| | dtype: string |
| | - name: Feature1 |
| | dtype: float64 |
| | - name: Feature2 |
| | dtype: float64 |
| | splits: |
| | - name: train |
| | num_bytes: 150000 |
| | num_examples: 5000 |
| | download_size: 123368 |
| | dataset_size: 150000 |
| | --- |
| | |
| | # SynTSBench: A Synthetic Time Series Benchmark |
| |
|
| | SynTSBench is a comprehensive synthetic time series benchmark dataset designed for evaluating machine learning models on various time series tasks. |
| |
|
| | ## Dataset Structure |
| |
|
| | The dataset is organized into distinct configurations based on different time series characteristics and column structures: |
| |
|
| | - **anomaly**: Synthetic time series data from Dataset_generated_anomaly with columns: Feature1, date |
| | - **autocorrelation_long_dependency**: Synthetic time series data from Dataset_generated_autocorrelation-long-dependency with columns: Feature1, date |
| | - **complex_multivariate_struct0**: Synthetic time series data from Dataset_generated_complex_multivariate with columns: Feature1, Feature2, date |
| | - **complex_multivariate_struct1**: Synthetic time series data from Dataset_generated_complex_multivariate with columns: consumer_spending, date, gdp_growth, inflation, interest_rate, unemployment_rate |
| | - **complex_multivariate_struct2**: Synthetic time series data from Dataset_generated_complex_multivariate with columns: beverage_sales, date, ice_cream_sales, rainfall, temperature, umbrella_sales |
| | - **complex_multivariate_struct3**: Synthetic time series data from Dataset_generated_complex_multivariate with columns: Feature1, Feature2, Feature3, date |
| | - **complex_multivariate_struct4**: Synthetic time series data from Dataset_generated_complex_multivariate with columns: date, economic_growth, employment_rate, market_confidence, negative_indicator |
| | - **complex_multivariate_struct5**: Synthetic time series data from Dataset_generated_complex_multivariate with columns: ad_spend, date, sales |
| | - **complex_multivariate_struct6**: Synthetic time series data from Dataset_generated_complex_multivariate with columns: date, demand, price, supply |
| | - **complex_univariate**: Synthetic time series data from Dataset_generated_complex_univariate with columns: Feature1, date |
| | - **cross_variable_learning_struct0**: Synthetic time series data from Dataset_generated_cross-variable-learning with columns: FeatureA_WhiteNoise, FeatureB_Lag48, date |
| | - **cross_variable_learning_struct1**: Synthetic time series data from Dataset_generated_cross-variable-learning with columns: FeatureA_WhiteNoise, FeatureB_Lag10, date |
| | - **cross_variable_learning_struct2**: Synthetic time series data from Dataset_generated_cross-variable-learning with columns: FeatureA_Sin, FeatureB_Noise_0dB, FeatureC_Sum, date |
| | - **cross_variable_learning_struct3**: Synthetic time series data from Dataset_generated_cross-variable-learning with columns: FeatureA_WhiteNoise, FeatureB_Lag5, date |
| | - **cross_variable_learning_struct4**: Synthetic time series data from Dataset_generated_cross-variable-learning with columns: FeatureA_WhiteNoise, FeatureB_Lag24, date |
| | - **datasetlength**: Synthetic time series data from Dataset_generated_datasetlength with columns: Feature1, date |
| | - **longdistance**: Synthetic time series data from Dataset_generated_longdistance with columns: Feature1, date |
| | - **noise**: Synthetic time series data from Dataset_generated_noise with columns: Feature1, date |
| | - **period**: Synthetic time series data from Dataset_generated_period with columns: Feature1, date |
| | - **trend**: Synthetic time series data from Dataset_generated_trend with columns: Feature1, date |
