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- README.md +307 -396
- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Double-Sin_SNR20dB_length5000.csv +0 -0
- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Double-Sin_point-anomaly-0pct_length5000.csv +0 -0
- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Double-Sin_point-anomaly-10pct_length5000.csv +0 -0
- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Double-Sin_point-anomaly-15pct_length5000.csv +0 -0
- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Double-Sin_point-anomaly-1pct_length5000.csv +0 -0
- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Double-Sin_point-anomaly-20pct_length5000.csv +0 -0
- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Double-Sin_point-anomaly-5pct_length5000.csv +0 -0
- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Double-Sin_pulse-anomaly-10_length5000.csv +0 -0
- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Double-Sin_pulse-anomaly-1_length5000.csv +0 -0
- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Double-Sin_pulse-anomaly-20_length5000.csv +0 -0
- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Double-Sin_pulse-anomaly-3_length5000.csv +0 -0
- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Double-Sin_pulse-anomaly-5_length5000.csv +0 -0
- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Five-Sin_SNR20dB_length5000.csv +0 -0
- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Five-Sin_point-anomaly-0pct_length5000.csv +0 -0
- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Five-Sin_point-anomaly-10pct_length5000.csv +0 -0
- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Five-Sin_point-anomaly-15pct_length5000.csv +0 -0
- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Five-Sin_point-anomaly-1pct_length5000.csv +0 -0
- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Five-Sin_point-anomaly-20pct_length5000.csv +0 -0
- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Five-Sin_point-anomaly-5pct_length5000.csv +0 -0
- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Five-Sin_pulse-anomaly-10_length5000.csv +0 -0
- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Five-Sin_pulse-anomaly-1_length5000.csv +0 -0
- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Five-Sin_pulse-anomaly-20_length5000.csv +0 -0
- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Five-Sin_pulse-anomaly-3_length5000.csv +0 -0
- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Five-Sin_pulse-anomaly-5_length5000.csv +0 -0
- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Linear-Trend_SNR20dB_length5000.csv +0 -0
- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Linear-Trend_point-anomaly-0pct_length5000.csv +0 -0
- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Linear-Trend_point-anomaly-10pct_length5000.csv +0 -0
- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Linear-Trend_point-anomaly-15pct_length5000.csv +0 -0
- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Linear-Trend_point-anomaly-1pct_length5000.csv +0 -0
- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Linear-Trend_point-anomaly-20pct_length5000.csv +0 -0
- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Linear-Trend_point-anomaly-5pct_length5000.csv +0 -0
- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Linear-Trend_pulse-anomaly-10_length5000.csv +0 -0
- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Linear-Trend_pulse-anomaly-1_length5000.csv +0 -0
- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Linear-Trend_pulse-anomaly-20_length5000.csv +0 -0
- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Linear-Trend_pulse-anomaly-3_length5000.csv +0 -0
- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Linear-Trend_pulse-anomaly-5_length5000.csv +0 -0
- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Logistic-Trend_SNR20dB_length5000.csv +0 -0
- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Logistic-Trend_point-anomaly-0pct_length5000.csv +0 -0
- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Logistic-Trend_point-anomaly-10pct_length5000.csv +0 -0
- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Logistic-Trend_point-anomaly-15pct_length5000.csv +0 -0
- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Logistic-Trend_point-anomaly-1pct_length5000.csv +0 -0
- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Logistic-Trend_point-anomaly-20pct_length5000.csv +0 -0
- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Logistic-Trend_point-anomaly-5pct_length5000.csv +0 -0
- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Logistic-Trend_pulse-anomaly-10_length5000.csv +0 -0
- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Logistic-Trend_pulse-anomaly-1_length5000.csv +0 -0
- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Logistic-Trend_pulse-anomaly-20_length5000.csv +0 -0
- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Logistic-Trend_pulse-anomaly-3_length5000.csv +0 -0
- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Logistic-Trend_pulse-anomaly-5_length5000.csv +0 -0
- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Quadratic-Function_SNR20dB_length5000.csv +0 -0
README.md
CHANGED
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@@ -4,461 +4,372 @@ configs:
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- config_name: anomaly
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data_files:
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- split: train
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path:
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Logistic-Trend_point-anomaly-5pct_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Sin0.05_SNR20dB_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Sin0.05_point-anomaly-5pct_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Quadratic-Function_pulse-anomaly-1_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Sin0.05_pulse-anomaly-5_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Double-Sin_pulse-anomaly-1_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Linear-Trend_pulse-anomaly-10_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Double-Sin_pulse-anomaly-5_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Double-Sin_point-anomaly-0pct_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Linear-Trend_point-anomaly-20pct_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Five-Sin_point-anomaly-10pct_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Logistic-Trend_point-anomaly-0pct_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Logistic-Trend_SNR20dB_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Sin0.05_pulse-anomaly-3_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Logistic-Trend_pulse-anomaly-3_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Quadratic-Function_point-anomaly-5pct_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Logistic-Trend_pulse-anomaly-20_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Five-Sin_point-anomaly-15pct_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Five-Sin_SNR20dB_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Quadratic-Function_SNR20dB_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Double-Sin_point-anomaly-20pct_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Quadratic-Function_point-anomaly-20pct_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Double-Sin_point-anomaly-1pct_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Logistic-Trend_point-anomaly-1pct_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Five-Sin_point-anomaly-5pct_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Linear-Trend_SNR20dB_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Double-Sin_point-anomaly-5pct_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Logistic-Trend_pulse-anomaly-1_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Double-Sin_point-anomaly-15pct_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Quadratic-Function_point-anomaly-15pct_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Quadratic-Function_point-anomaly-10pct_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Sin0.05_point-anomaly-10pct_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Five-Sin_pulse-anomaly-3_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Five-Sin_pulse-anomaly-5_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Quadratic-Function_pulse-anomaly-20_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Sin0.05_point-anomaly-20pct_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Double-Sin_SNR20dB_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Linear-Trend_point-anomaly-10pct_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Logistic-Trend_point-anomaly-10pct_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Five-Sin_pulse-anomaly-20_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Linear-Trend_pulse-anomaly-5_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Sin0.05_pulse-anomaly-20_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Sin0.05_point-anomaly-15pct_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Five-Sin_pulse-anomaly-10_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Quadratic-Function_point-anomaly-1pct_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Quadratic-Function_pulse-anomaly-3_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Quadratic-Function_pulse-anomaly-5_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Logistic-Trend_point-anomaly-20pct_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Double-Sin_point-anomaly-10pct_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Sin0.05_point-anomaly-1pct_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Quadratic-Function_pulse-anomaly-10_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Five-Sin_pulse-anomaly-1_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Double-Sin_pulse-anomaly-20_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Linear-Trend_point-anomaly-5pct_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Linear-Trend_point-anomaly-15pct_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Logistic-Trend_point-anomaly-15pct_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Linear-Trend_pulse-anomaly-1_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Five-Sin_point-anomaly-1pct_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Linear-Trend_point-anomaly-1pct_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Sin0.05_pulse-anomaly-1_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Linear-Trend_point-anomaly-0pct_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Logistic-Trend_pulse-anomaly-5_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Logistic-Trend_pulse-anomaly-10_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Double-Sin_pulse-anomaly-3_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Linear-Trend_pulse-anomaly-20_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Five-Sin_point-anomaly-20pct_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Linear-Trend_pulse-anomaly-3_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Quadratic-Function_point-anomaly-0pct_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Double-Sin_pulse-anomaly-10_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Sin0.05_pulse-anomaly-10_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Five-Sin_point-anomaly-0pct_length5000.csv
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- SynTS_Dataset/Dataset_generated_anomaly/dataset1_Sin0.05_point-anomaly-0pct_length5000.csv
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description: 'Synthetic time series data from Dataset_generated_anomaly with columns:
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Feature1, date'
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- config_name: autocorrelation_long_dependency
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data_files:
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- split: train
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path:
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- SynTS_Dataset/Dataset_generated_autocorrelation-long-dependency/dataset9_White-Noise_raw_length5000.csv
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- SynTS_Dataset/Dataset_generated_autocorrelation-long-dependency/dataset1_ARMA(2,2)_raw_length5000.csv
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- SynTS_Dataset/Dataset_generated_autocorrelation-long-dependency/dataset4_ARMA-Long-Dependency_raw_length5000.csv
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- SynTS_Dataset/Dataset_generated_autocorrelation-long-dependency/dataset10_Random-Walk_raw_length5000.csv
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- SynTS_Dataset/Dataset_generated_autocorrelation-long-dependency/dataset5_Random-Walk_raw_length5000.csv
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- SynTS_Dataset/Dataset_generated_autocorrelation-long-dependency/dataset2_White-Noise_raw_length5000.csv
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- SynTS_Dataset/Dataset_generated_autocorrelation-long-dependency/dataset6_Random-Walk_raw_length5000.csv
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- SynTS_Dataset/Dataset_generated_autocorrelation-long-dependency/dataset3_White-Noise_raw_length5000.csv
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- SynTS_Dataset/Dataset_generated_autocorrelation-long-dependency/dataset9_ARMA(1,1)_raw_length5000.csv
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- SynTS_Dataset/Dataset_generated_autocorrelation-long-dependency/dataset10_ARMA(2,2)_raw_length5000.csv
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- SynTS_Dataset/Dataset_generated_autocorrelation-long-dependency/dataset4_White-Noise_raw_length5000.csv
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- SynTS_Dataset/Dataset_generated_autocorrelation-long-dependency/dataset7_ARMA(2,2)_raw_length5000.csv
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- SynTS_Dataset/Dataset_generated_autocorrelation-long-dependency/dataset9_Random-Walk_raw_length5000.csv
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- SynTS_Dataset/Dataset_generated_autocorrelation-long-dependency/dataset2_ARMA-Long-Dependency_raw_length5000.csv
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- SynTS_Dataset/Dataset_generated_autocorrelation-long-dependency/dataset1_White-Noise_raw_length5000.csv
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- SynTS_Dataset/Dataset_generated_autocorrelation-long-dependency/dataset4_Random-Walk_raw_length5000.csv
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- SynTS_Dataset/Dataset_generated_autocorrelation-long-dependency/dataset8_ARMA(1,1)_raw_length5000.csv
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- SynTS_Dataset/Dataset_generated_autocorrelation-long-dependency/dataset4_ARMA(2,2)_raw_length5000.csv
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- SynTS_Dataset/Dataset_generated_autocorrelation-long-dependency/dataset3_ARMA(2,2)_raw_length5000.csv
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- SynTS_Dataset/Dataset_generated_autocorrelation-long-dependency/dataset2_ARMA(2,2)_raw_length5000.csv
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- SynTS_Dataset/Dataset_generated_autocorrelation-long-dependency/dataset8_ARMA-Long-Dependency_raw_length5000.csv
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- SynTS_Dataset/Dataset_generated_autocorrelation-long-dependency/dataset2_ARMA(1,1)_raw_length5000.csv
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- SynTS_Dataset/Dataset_generated_autocorrelation-long-dependency/dataset5_ARMA(2,2)_raw_length5000.csv
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- SynTS_Dataset/Dataset_generated_autocorrelation-long-dependency/dataset1_Random-Walk_raw_length5000.csv
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- SynTS_Dataset/Dataset_generated_autocorrelation-long-dependency/dataset9_ARMA-Long-Dependency_raw_length5000.csv
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- SynTS_Dataset/Dataset_generated_autocorrelation-long-dependency/dataset7_ARMA(1,1)_raw_length5000.csv
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- SynTS_Dataset/Dataset_generated_autocorrelation-long-dependency/dataset4_ARMA(1,1)_raw_length5000.csv
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- SynTS_Dataset/Dataset_generated_autocorrelation-long-dependency/dataset5_ARMA(1,1)_raw_length5000.csv
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- SynTS_Dataset/Dataset_generated_autocorrelation-long-dependency/dataset5_ARMA-Long-Dependency_raw_length5000.csv
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- SynTS_Dataset/Dataset_generated_autocorrelation-long-dependency/dataset6_ARMA(1,1)_raw_length5000.csv
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- SynTS_Dataset/Dataset_generated_autocorrelation-long-dependency/dataset6_ARMA(2,2)_raw_length5000.csv
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- SynTS_Dataset/Dataset_generated_autocorrelation-long-dependency/dataset8_White-Noise_raw_length5000.csv
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- SynTS_Dataset/Dataset_generated_autocorrelation-long-dependency/dataset9_ARMA(2,2)_raw_length5000.csv
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- SynTS_Dataset/Dataset_generated_autocorrelation-long-dependency/dataset10_ARMA-Long-Dependency_raw_length5000.csv
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- SynTS_Dataset/Dataset_generated_autocorrelation-long-dependency/dataset7_Random-Walk_raw_length5000.csv
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- SynTS_Dataset/Dataset_generated_autocorrelation-long-dependency/dataset6_White-Noise_raw_length5000.csv
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- SynTS_Dataset/Dataset_generated_autocorrelation-long-dependency/dataset10_ARMA(1,1)_raw_length5000.csv
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- SynTS_Dataset/Dataset_generated_autocorrelation-long-dependency/dataset1_ARMA(1,1)_raw_length5000.csv
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- SynTS_Dataset/Dataset_generated_autocorrelation-long-dependency/dataset1_ARMA-Long-Dependency_raw_length5000.csv
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- SynTS_Dataset/Dataset_generated_autocorrelation-long-dependency/dataset8_ARMA(2,2)_raw_length5000.csv
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- SynTS_Dataset/Dataset_generated_autocorrelation-long-dependency/dataset10_White-Noise_raw_length5000.csv
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- SynTS_Dataset/Dataset_generated_autocorrelation-long-dependency/dataset3_ARMA-Long-Dependency_raw_length5000.csv
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- SynTS_Dataset/Dataset_generated_autocorrelation-long-dependency/dataset2_Random-Walk_raw_length5000.csv
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- SynTS_Dataset/Dataset_generated_autocorrelation-long-dependency/dataset7_White-Noise_raw_length5000.csv
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- SynTS_Dataset/Dataset_generated_autocorrelation-long-dependency/dataset6_ARMA-Long-Dependency_raw_length5000.csv
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- SynTS_Dataset/Dataset_generated_autocorrelation-long-dependency/dataset3_Random-Walk_raw_length5000.csv
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- SynTS_Dataset/Dataset_generated_autocorrelation-long-dependency/dataset3_ARMA(1,1)_raw_length5000.csv
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- SynTS_Dataset/Dataset_generated_autocorrelation-long-dependency/dataset5_White-Noise_raw_length5000.csv
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- SynTS_Dataset/Dataset_generated_autocorrelation-long-dependency/dataset8_Random-Walk_raw_length5000.csv
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- SynTS_Dataset/Dataset_generated_autocorrelation-long-dependency/dataset7_ARMA-Long-Dependency_raw_length5000.csv
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description: 'Synthetic time series data from Dataset_generated_autocorrelation-long-dependency
|
| 137 |
-
with columns: Feature1, date'
|
| 138 |
- config_name: complex_multivariate_struct0
|
| 139 |
data_files:
|
| 140 |
- split: train
|
| 141 |
-
path:
|
| 142 |
-
- SynTS_Dataset/Dataset_generated_complex_multivariate/dataset1_Lotka-Volterra_raw_length5000.csv
|
| 143 |
-
description: 'Synthetic time series data from Dataset_generated_complex_multivariate
|
| 144 |
-
with columns: Feature1, Feature2, date'
|
| 145 |
- config_name: complex_multivariate_struct1
|
| 146 |
data_files:
|
| 147 |
- split: train
|
| 148 |
-
path:
|
| 149 |
-
- SynTS_Dataset/Dataset_generated_complex_multivariate/dataset1_Macro-Economy_raw_length5000.csv
|
| 150 |
-
description: 'Synthetic time series data from Dataset_generated_complex_multivariate
|
| 151 |
-
with columns: consumer_spending, date, gdp_growth, inflation, interest_rate, unemployment_rate'
|
| 152 |
- config_name: complex_multivariate_struct2
|
| 153 |
data_files:
|
| 154 |
- split: train
|
| 155 |
-
path:
|
| 156 |
-
- SynTS_Dataset/Dataset_generated_complex_multivariate/dataset1_Weather-Sales_raw_length5000.csv
|
| 157 |
-
description: 'Synthetic time series data from Dataset_generated_complex_multivariate
|
| 158 |
-
with columns: beverage_sales, date, ice_cream_sales, rainfall, temperature, umbrella_sales'
|
| 159 |
- config_name: complex_multivariate_struct3
|
| 160 |
data_files:
|
| 161 |
- split: train
|
| 162 |
-
path:
|
| 163 |
-
- SynTS_Dataset/Dataset_generated_complex_multivariate/dataset1_SIR-Model_raw_length5000.csv
|
| 164 |
-
description: 'Synthetic time series data from Dataset_generated_complex_multivariate
|
| 165 |
-
with columns: Feature1, Feature2, Feature3, date'
|
| 166 |
- config_name: complex_multivariate_struct4
|
| 167 |
data_files:
|
| 168 |
- split: train
|
| 169 |
-
path:
|
| 170 |
-
- SynTS_Dataset/Dataset_generated_complex_multivariate/dataset1_Intervention-Effect_raw_length5000.csv
|
| 171 |
-
description: 'Synthetic time series data from Dataset_generated_complex_multivariate
|
| 172 |
-
with columns: date, economic_growth, employment_rate, market_confidence, negative_indicator'
|
| 173 |
- config_name: complex_multivariate_struct5
|
| 174 |
data_files:
|
| 175 |
- split: train
|
| 176 |
-
path:
|
| 177 |
-
- SynTS_Dataset/Dataset_generated_complex_multivariate/dataset1_Ad-Sales_raw_length5000.csv
|
| 178 |
-
description: 'Synthetic time series data from Dataset_generated_complex_multivariate
|
| 179 |
-
with columns: ad_spend, date, sales'
|
| 180 |
- config_name: complex_multivariate_struct6
|
| 181 |
data_files:
|
| 182 |
- split: train
|
| 183 |
-
path:
|
| 184 |
-
- SynTS_Dataset/Dataset_generated_complex_multivariate/dataset1_Supply-Demand-Price_raw_length5000.csv
|
| 185 |
-
description: 'Synthetic time series data from Dataset_generated_complex_multivariate
|
| 186 |
-
with columns: date, demand, price, supply'
|
| 187 |
- config_name: complex_univariate
|
| 188 |
data_files:
|
| 189 |
- split: train
|
| 190 |
-
path:
|
| 191 |
-
- SynTS_Dataset/Dataset_generated_complex_univariate/dataset1_Network-Traffic_raw_length5000.csv
|
| 192 |
-
- SynTS_Dataset/Dataset_generated_complex_univariate/dataset1_Economic-Indicator_raw_length5000.csv
|
| 193 |
-
- SynTS_Dataset/Dataset_generated_complex_univariate/dataset1_Temperature-Sensor_raw_length5000.csv
|
| 194 |
-
- SynTS_Dataset/Dataset_generated_complex_univariate/dataset1_Website-Traffic_raw_length5000.csv
|
| 195 |
-
- SynTS_Dataset/Dataset_generated_complex_univariate/dataset1_Industrial-Sensor_raw_length5000.csv
|
| 196 |
-
- SynTS_Dataset/Dataset_generated_complex_univariate/dataset1_Industrial-Sensor-Normal_raw_length5000.csv
|
| 197 |
-
- SynTS_Dataset/Dataset_generated_complex_univariate/dataset1_Electricity-Consumption_raw_length5000.csv
|
| 198 |
-
- SynTS_Dataset/Dataset_generated_complex_univariate/dataset1_Stock-Price_raw_length5000.csv
|
| 199 |
-
- SynTS_Dataset/Dataset_generated_complex_univariate/dataset1_IoT-Sensor-Battery_raw_length5000.csv
|
| 200 |
-
- SynTS_Dataset/Dataset_generated_complex_univariate/dataset1_Retail-Sales_raw_length5000.csv
|
| 201 |
-
description: 'Synthetic time series data from Dataset_generated_complex_univariate
|
| 202 |
-
with columns: Feature1, date'
|
| 203 |
- config_name: cross_variable_learning_struct0
|
| 204 |
data_files:
|
| 205 |
- split: train
|
| 206 |
-
path:
|
| 207 |
-
- SynTS_Dataset/Dataset_generated_cross-variable-learning/dataset1_Lag48_raw_length5000.csv
|
| 208 |
-
description: 'Synthetic time series data from Dataset_generated_cross-variable-learning
|
| 209 |
-
with columns: FeatureA_WhiteNoise, FeatureB_Lag48, date'
|
| 210 |
- config_name: cross_variable_learning_struct1
|
| 211 |
data_files:
|
| 212 |
- split: train
|
| 213 |
-
path:
|
| 214 |
-
- SynTS_Dataset/Dataset_generated_cross-variable-learning/dataset1_Lag10_raw_length5000.csv
|
| 215 |
-
description: 'Synthetic time series data from Dataset_generated_cross-variable-learning
|
| 216 |
-
with columns: FeatureA_WhiteNoise, FeatureB_Lag10, date'
|
| 217 |
- config_name: cross_variable_learning_struct2
|
| 218 |
data_files:
|
| 219 |
- split: train
|
| 220 |
-
path:
|
| 221 |
-
- SynTS_Dataset/Dataset_generated_cross-variable-learning/dataset1_SinNoiseComposite_raw_length5000.csv
|
| 222 |
-
description: 'Synthetic time series data from Dataset_generated_cross-variable-learning
|
| 223 |
-
with columns: FeatureA_Sin, FeatureB_Noise_0dB, FeatureC_Sum, date'
|
| 224 |
- config_name: cross_variable_learning_struct3
|
| 225 |
data_files:
|
| 226 |
- split: train
|
| 227 |
-
path:
|
| 228 |
-
- SynTS_Dataset/Dataset_generated_cross-variable-learning/dataset1_Lag5_raw_length5000.csv
|
| 229 |
-
description: 'Synthetic time series data from Dataset_generated_cross-variable-learning
|
| 230 |
-
with columns: FeatureA_WhiteNoise, FeatureB_Lag5, date'
|
| 231 |
- config_name: cross_variable_learning_struct4
|
| 232 |
data_files:
|
| 233 |
- split: train
|
| 234 |
-
path:
|
| 235 |
-
- SynTS_Dataset/Dataset_generated_cross-variable-learning/dataset1_Lag24_raw_length5000.csv
|
| 236 |
-
description: 'Synthetic time series data from Dataset_generated_cross-variable-learning
|
| 237 |
-
with columns: FeatureA_WhiteNoise, FeatureB_Lag24, date'
|
| 238 |
- config_name: datasetlength
|
| 239 |
data_files:
|
| 240 |
- split: train
|
| 241 |
-
path:
|
| 242 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Exponential-Trend_SNR0dB_length20000.csv
|
| 243 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Exponential-Trend_raw_length50000.csv
|
| 244 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Linear-Trend_SNR0dB_length20000.csv
|
| 245 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Double-Sin_SNR0dB_length1000.csv
|
| 246 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Five-Sin_SNR-10dB_length50000.csv
|
| 247 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Quadratic-Function_SNR20dB_length20000.csv
|
| 248 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Quadratic-Function_SNR0dB_length5000.csv
|
| 249 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Exponential-Trend_SNR0dB_length10000.csv
|
| 250 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Five-Sin_raw_length5000.csv
|
| 251 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Exponential-Trend_SNR20dB_length50000.csv
|
| 252 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Sin0.005_SNR-10dB_length10000.csv
|
| 253 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Quadratic-Function_SNR20dB_length50000.csv
|
| 254 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Exponential-Trend_raw_length10000.csv
|
| 255 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Linear-Trend_SNR-10dB_length20000.csv
|
| 256 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Exponential-Trend_raw_length5000.csv
|
| 257 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Five-Sin_SNR0dB_length10000.csv
|
| 258 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Double-Sin_raw_length10000.csv
|
| 259 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Linear-Trend_SNR0dB_length10000.csv
|
| 260 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Double-Sin_SNR0dB_length10000.csv
|
| 261 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Linear-Trend_raw_length20000.csv
|
| 262 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Linear-Trend_SNR20dB_length10000.csv
|
| 263 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Sin0.005_raw_length5000.csv
|
| 264 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Five-Sin_SNR20dB_length5000.csv
|
| 265 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Exponential-Trend_SNR-10dB_length10000.csv
|
| 266 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Quadratic-Function_SNR20dB_length10000.csv
|
| 267 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Exponential-Trend_SNR20dB_length5000.csv
|
| 268 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Sin0.005_SNR20dB_length1000.csv
|
| 269 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Linear-Trend_SNR-10dB_length50000.csv
|
| 270 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Exponential-Trend_raw_length1000.csv
|
| 271 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Exponential-Trend_SNR-10dB_length1000.csv
|
| 272 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Quadratic-Function_SNR20dB_length5000.csv
|
| 273 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Five-Sin_SNR20dB_length10000.csv
|
| 274 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Quadratic-Function_SNR-10dB_length10000.csv
|
| 275 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Five-Sin_raw_length10000.csv
|
| 276 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Sin0.005_SNR-10dB_length20000.csv
|
| 277 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Quadratic-Function_SNR0dB_length50000.csv
|
| 278 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Five-Sin_SNR20dB_length20000.csv
|
| 279 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Linear-Trend_SNR20dB_length5000.csv
|
| 280 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Quadratic-Function_SNR-10dB_length5000.csv
|
| 281 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Sin0.005_SNR20dB_length50000.csv
|
| 282 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Sin0.005_SNR-10dB_length50000.csv
|
| 283 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Sin0.005_SNR0dB_length1000.csv
|
| 284 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Quadratic-Function_raw_length10000.csv
|
| 285 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Sin0.005_SNR20dB_length5000.csv
|
| 286 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Five-Sin_raw_length50000.csv
|
| 287 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Linear-Trend_raw_length5000.csv
|
| 288 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Double-Sin_SNR20dB_length5000.csv
|
| 289 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Exponential-Trend_SNR20dB_length20000.csv
|
| 290 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Exponential-Trend_SNR0dB_length50000.csv
|
| 291 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Exponential-Trend_SNR-10dB_length20000.csv
|
| 292 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Sin0.005_raw_length1000.csv
|
| 293 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Five-Sin_SNR20dB_length50000.csv
|
| 294 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Five-Sin_raw_length20000.csv
|
| 295 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Double-Sin_SNR20dB_length1000.csv
|
| 296 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Sin0.005_SNR20dB_length10000.csv
|
| 297 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Sin0.005_SNR20dB_length20000.csv
|
| 298 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Double-Sin_SNR0dB_length5000.csv
|
| 299 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Linear-Trend_SNR0dB_length5000.csv
|
| 300 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Double-Sin_SNR-10dB_length5000.csv
|
| 301 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Sin0.005_SNR0dB_length50000.csv
|
| 302 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Five-Sin_SNR-10dB_length20000.csv
|
| 303 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Linear-Trend_SNR20dB_length1000.csv
|
| 304 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Sin0.005_SNR0dB_length20000.csv
|
| 305 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Double-Sin_SNR-10dB_length1000.csv
|
| 306 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Double-Sin_SNR20dB_length20000.csv
|
| 307 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Double-Sin_raw_length5000.csv
|
| 308 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Quadratic-Function_SNR-10dB_length1000.csv
|
| 309 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Sin0.005_SNR0dB_length10000.csv
|
| 310 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Quadratic-Function_SNR0dB_length1000.csv
|
| 311 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Quadratic-Function_raw_length1000.csv
|
| 312 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Quadratic-Function_SNR-10dB_length50000.csv
|
| 313 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Sin0.005_SNR0dB_length5000.csv
|
| 314 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Quadratic-Function_raw_length50000.csv
|
| 315 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Quadratic-Function_SNR0dB_length20000.csv
|
| 316 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Linear-Trend_SNR-10dB_length5000.csv
|
| 317 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Linear-Trend_raw_length10000.csv
|
| 318 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Quadratic-Function_SNR-10dB_length20000.csv
|
| 319 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Five-Sin_SNR0dB_length5000.csv
|
| 320 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Double-Sin_SNR-10dB_length50000.csv
|
| 321 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Exponential-Trend_SNR0dB_length5000.csv
|
| 322 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Exponential-Trend_SNR-10dB_length5000.csv
|
| 323 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Exponential-Trend_raw_length20000.csv
|
| 324 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Quadratic-Function_SNR0dB_length10000.csv
|
| 325 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Sin0.005_raw_length20000.csv
|
| 326 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Double-Sin_SNR-10dB_length10000.csv
|
| 327 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Double-Sin_SNR-10dB_length20000.csv
|
| 328 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Double-Sin_SNR20dB_length10000.csv
|
| 329 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Five-Sin_SNR-10dB_length5000.csv
|
| 330 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Double-Sin_raw_length50000.csv
|
| 331 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Sin0.005_raw_length10000.csv
|
| 332 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Double-Sin_SNR0dB_length20000.csv
|
| 333 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Double-Sin_SNR0dB_length50000.csv
|
| 334 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Five-Sin_raw_length1000.csv
|
| 335 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Exponential-Trend_SNR20dB_length10000.csv
|
| 336 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Exponential-Trend_SNR20dB_length1000.csv
|
| 337 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Linear-Trend_raw_length50000.csv
|
| 338 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Linear-Trend_SNR20dB_length50000.csv
|
| 339 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Five-Sin_SNR0dB_length50000.csv
|
| 340 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Five-Sin_SNR0dB_length20000.csv
|
| 341 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Sin0.005_SNR-10dB_length1000.csv
|
| 342 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Linear-Trend_SNR0dB_length1000.csv
|
| 343 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Five-Sin_SNR20dB_length1000.csv
|
| 344 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Exponential-Trend_SNR0dB_length1000.csv
|
| 345 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Five-Sin_SNR-10dB_length1000.csv
|
| 346 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Sin0.005_raw_length50000.csv
|
| 347 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Quadratic-Function_raw_length20000.csv
|
| 348 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Five-Sin_SNR-10dB_length10000.csv
|
| 349 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Linear-Trend_SNR-10dB_length1000.csv
|
| 350 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Quadratic-Function_SNR20dB_length1000.csv
|
| 351 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Quadratic-Function_raw_length5000.csv
|
| 352 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Linear-Trend_SNR-10dB_length10000.csv
|
| 353 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Linear-Trend_SNR0dB_length50000.csv
|
| 354 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Linear-Trend_SNR20dB_length20000.csv
|
| 355 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Double-Sin_raw_length20000.csv
|
| 356 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Sin0.005_SNR-10dB_length5000.csv
|
| 357 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Five-Sin_SNR0dB_length1000.csv
|
| 358 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Double-Sin_SNR20dB_length50000.csv
|
| 359 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Exponential-Trend_SNR-10dB_length50000.csv
|
| 360 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Linear-Trend_raw_length1000.csv
|
| 361 |
-
- SynTS_Dataset/Dataset_generated_datasetlength/dataset1_Double-Sin_raw_length1000.csv
|
| 362 |
-
description: 'Synthetic time series data from Dataset_generated_datasetlength with
|
| 363 |
-
columns: Feature1, date'
|
| 364 |
- config_name: longdistance
|
| 365 |
data_files:
|
| 366 |
- split: train
|
| 367 |
-
path:
|
| 368 |
-
- SynTS_Dataset/Dataset_generated_longdistance/dataset1_twopulse-triangles_raw_length5000.csv
|
| 369 |
-
- SynTS_Dataset/Dataset_generated_longdistance/dataset1_Triangle-Wave0.0025_raw_length5000.csv
|
| 370 |
-
- SynTS_Dataset/Dataset_generated_longdistance/dataset1_Triangle-Wave0.005_raw_length5000.csv
|
| 371 |
-
description: 'Synthetic time series data from Dataset_generated_longdistance with
|
| 372 |
-
columns: Feature1, date'
|
| 373 |
- config_name: noise
|
| 374 |
data_files:
|
| 375 |
- split: train
|
| 376 |
-
path:
|
| 377 |
-
- SynTS_Dataset/Dataset_generated_noise/dataset1_Sin0.05_SNR0dB_length5000.csv
|
| 378 |
-
- SynTS_Dataset/Dataset_generated_noise/dataset1_Sin0.05_SNR20dB_length5000.csv
|
| 379 |
-
- SynTS_Dataset/Dataset_generated_noise/dataset1_Double-Sin_SNR10dB_length5000.csv
|
| 380 |
-
- SynTS_Dataset/Dataset_generated_noise/dataset1_Quadratic-Function_SNR0dB_length5000.csv
|
| 381 |
-
- SynTS_Dataset/Dataset_generated_noise/dataset1_Five-Sin_raw_length5000.csv
|
| 382 |
-
- SynTS_Dataset/Dataset_generated_noise/dataset1_Logistic-Trend_SNR10dB_length5000.csv
|
| 383 |
-
- SynTS_Dataset/Dataset_generated_noise/dataset1_Quadratic-Function_SNR30dB_length5000.csv
|
| 384 |
-
- SynTS_Dataset/Dataset_generated_noise/dataset1_Logistic-Trend_point-anomaly_length5000.csv
|
| 385 |
-
- SynTS_Dataset/Dataset_generated_noise/dataset1_Linear-Trend_SNR30dB_length5000.csv
|
| 386 |
-
- SynTS_Dataset/Dataset_generated_noise/dataset1_Linear-Trend_point-anomaly_length5000.csv
|
| 387 |
-
- SynTS_Dataset/Dataset_generated_noise/dataset1_Sin0.05_raw_length5000.csv
|
| 388 |
-
- SynTS_Dataset/Dataset_generated_noise/dataset1_Logistic-Trend_SNR20dB_length5000.csv
|
| 389 |
-
- SynTS_Dataset/Dataset_generated_noise/dataset1_Double-Sin_pulse-anomaly_length5000.csv
|
| 390 |
-
- SynTS_Dataset/Dataset_generated_noise/dataset1_Five-Sin_SNR20dB_length5000.csv
|
| 391 |
-
- SynTS_Dataset/Dataset_generated_noise/dataset1_Quadratic-Function_SNR20dB_length5000.csv
|
| 392 |
-
- SynTS_Dataset/Dataset_generated_noise/dataset1_Logistic-Trend_SNR30dB_length5000.csv
|
| 393 |
-
- SynTS_Dataset/Dataset_generated_noise/dataset1_Linear-Trend_SNR20dB_length5000.csv
|
| 394 |
-
- SynTS_Dataset/Dataset_generated_noise/dataset1_Quadratic-Function_SNR-10dB_length5000.csv
|
| 395 |
-
- SynTS_Dataset/Dataset_generated_noise/dataset1_Logistic-Trend_pulse-anomaly_length5000.csv
|
| 396 |
-
- SynTS_Dataset/Dataset_generated_noise/dataset1_Quadratic-Function_pulse-anomaly_length5000.csv
|
| 397 |
-
- SynTS_Dataset/Dataset_generated_noise/dataset1_Quadratic-Function_point-anomaly_length5000.csv
|
| 398 |
-
- SynTS_Dataset/Dataset_generated_noise/dataset1_Five-Sin_point-anomaly_length5000.csv
|
| 399 |
-
- SynTS_Dataset/Dataset_generated_noise/dataset1_Linear-Trend_raw_length5000.csv
|
| 400 |
-
- SynTS_Dataset/Dataset_generated_noise/dataset1_Double-Sin_SNR20dB_length5000.csv
|
| 401 |
-
- SynTS_Dataset/Dataset_generated_noise/dataset1_Logistic-Trend_SNR0dB_length5000.csv
|
| 402 |
-
- SynTS_Dataset/Dataset_generated_noise/dataset1_Double-Sin_SNR0dB_length5000.csv
|
| 403 |
-
- SynTS_Dataset/Dataset_generated_noise/dataset1_Linear-Trend_SNR0dB_length5000.csv
|
| 404 |
-
- SynTS_Dataset/Dataset_generated_noise/dataset1_Double-Sin_SNR-10dB_length5000.csv
|
| 405 |
-
- SynTS_Dataset/Dataset_generated_noise/dataset1_Linear-Trend_SNR10dB_length5000.csv
|
| 406 |
-
- SynTS_Dataset/Dataset_generated_noise/dataset1_Double-Sin_raw_length5000.csv
|
| 407 |
-
- SynTS_Dataset/Dataset_generated_noise/dataset1_Sin0.05_SNR10dB_length5000.csv
|
| 408 |
-
- SynTS_Dataset/Dataset_generated_noise/dataset1_Five-Sin_SNR10dB_length5000.csv
|
| 409 |
-
- SynTS_Dataset/Dataset_generated_noise/dataset1_Five-Sin_pulse-anomaly_length5000.csv
|
| 410 |
-
- SynTS_Dataset/Dataset_generated_noise/dataset1_Quadratic-Function_SNR10dB_length5000.csv
|
| 411 |
-
- SynTS_Dataset/Dataset_generated_noise/dataset1_Sin0.05_SNR-10dB_length5000.csv
|
| 412 |
-
- SynTS_Dataset/Dataset_generated_noise/dataset1_Linear-Trend_SNR-10dB_length5000.csv
|
| 413 |
-
- SynTS_Dataset/Dataset_generated_noise/dataset1_Five-Sin_SNR0dB_length5000.csv
|
| 414 |
-
- SynTS_Dataset/Dataset_generated_noise/dataset1_Double-Sin_point-anomaly_length5000.csv
|
| 415 |
-
- SynTS_Dataset/Dataset_generated_noise/dataset1_Linear-Trend_pulse-anomaly_length5000.csv
|
| 416 |
-
- SynTS_Dataset/Dataset_generated_noise/dataset1_Double-Sin_SNR30dB_length5000.csv
|
| 417 |
-
- SynTS_Dataset/Dataset_generated_noise/dataset1_Five-Sin_SNR-10dB_length5000.csv
|
| 418 |
-
- SynTS_Dataset/Dataset_generated_noise/dataset1_Sin0.05_SNR30dB_length5000.csv
|
| 419 |
-
- SynTS_Dataset/Dataset_generated_noise/dataset1_Five-Sin_SNR30dB_length5000.csv
|
| 420 |
-
- SynTS_Dataset/Dataset_generated_noise/dataset1_Logistic-Trend_raw_length5000.csv
|
| 421 |
-
- SynTS_Dataset/Dataset_generated_noise/dataset1_Quadratic-Function_raw_length5000.csv
|
| 422 |
-
- SynTS_Dataset/Dataset_generated_noise/dataset1_Sin0.05_pulse-anomaly_length5000.csv
|
| 423 |
-
- SynTS_Dataset/Dataset_generated_noise/dataset1_Sin0.05_point-anomaly_length5000.csv
|
| 424 |
-
- SynTS_Dataset/Dataset_generated_noise/dataset1_Logistic-Trend_SNR-10dB_length5000.csv
|
| 425 |
-
description: 'Synthetic time series data from Dataset_generated_noise with columns:
|
| 426 |
-
Feature1, date'
|
| 427 |
- config_name: period
|
| 428 |
data_files:
|
| 429 |
- split: train
|
| 430 |
-
path:
|
| 431 |
-
- SynTS_Dataset/Dataset_generated_period/dataset1_Triple-Sin_raw_length5000.csv
|
| 432 |
-
- SynTS_Dataset/Dataset_generated_period/dataset1_Five-Sin_raw_length5000.csv
|
| 433 |
-
- SynTS_Dataset/Dataset_generated_period/dataset1_Sin0.05_raw_length5000.csv
|
| 434 |
-
- SynTS_Dataset/Dataset_generated_period/dataset1_Sin0.005_raw_length5000.csv
|
| 435 |
-
- SynTS_Dataset/Dataset_generated_period/dataset1_Ten-Sin_raw_length5000.csv
|
| 436 |
-
- SynTS_Dataset/Dataset_generated_period/dataset1_Double-Sin_raw_length5000.csv
|
| 437 |
-
- SynTS_Dataset/Dataset_generated_period/dataset1_Sawtooth-Wave_raw_length5000.csv
|
| 438 |
-
- SynTS_Dataset/Dataset_generated_period/dataset1_Triangle-Wave_raw_length5000.csv
|
| 439 |
-
- SynTS_Dataset/Dataset_generated_period/dataset1_Square-Wave_raw_length5000.csv
|
| 440 |
-
- SynTS_Dataset/Dataset_generated_period/dataset1_Exp-Sine-Wave_raw_length5000.csv
|
| 441 |
-
description: 'Synthetic time series data from Dataset_generated_period with columns:
|
| 442 |
-
Feature1, date'
|
| 443 |
- config_name: trend
|
| 444 |
data_files:
|
| 445 |
- split: train
|
| 446 |
-
path:
|
| 447 |
-
- SynTS_Dataset/Dataset_generated_trend/dataset1_Gompertz-Trend_raw_length5000.csv
|
| 448 |
-
- SynTS_Dataset/Dataset_generated_trend/dataset1_Step-Function_raw_length5000.csv
|
| 449 |
-
- SynTS_Dataset/Dataset_generated_trend/dataset1_Power-Law-Trend_raw_length5000.csv
|
| 450 |
-
- SynTS_Dataset/Dataset_generated_trend/dataset1_Exponential-Trend_raw_length5000.csv
|
| 451 |
-
- SynTS_Dataset/Dataset_generated_trend/dataset1_Negative-Exponential-Trend_raw_length5000.csv
|
| 452 |
-
- SynTS_Dataset/Dataset_generated_trend/dataset1_Linear-Trend_raw_length5000.csv
|
| 453 |
-
- SynTS_Dataset/Dataset_generated_trend/dataset1_Logarithmic-Function_raw_length5000.csv
|
| 454 |
-
- SynTS_Dataset/Dataset_generated_trend/dataset1_Piecewise-Linear_raw_length5000.csv
|
| 455 |
-
- SynTS_Dataset/Dataset_generated_trend/dataset1_Logistic-Trend_raw_length5000.csv
|
| 456 |
-
- SynTS_Dataset/Dataset_generated_trend/dataset1_Gaussian-Trend_raw_length5000.csv
|
| 457 |
-
- SynTS_Dataset/Dataset_generated_trend/dataset1_Quadratic-Function_raw_length5000.csv
|
| 458 |
-
description: 'Synthetic time series data from Dataset_generated_trend with columns:
|
| 459 |
-
Feature1, date'
|
| 460 |
task_categories:
|
| 461 |
- time-series-forecasting
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|
| 462 |
---
|
| 463 |
|
| 464 |
# SynTSBench: A Synthetic Time Series Benchmark
|
|
|
|
| 4 |
- config_name: anomaly
|
| 5 |
data_files:
|
| 6 |
- split: train
|
| 7 |
+
path: anomaly/train-*
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|
| 8 |
- config_name: autocorrelation_long_dependency
|
| 9 |
data_files:
|
| 10 |
- split: train
|
| 11 |
+
path: autocorrelation_long_dependency/train-*
|
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|
| 12 |
- config_name: complex_multivariate_struct0
|
| 13 |
data_files:
|
| 14 |
- split: train
|
| 15 |
+
path: complex_multivariate_struct0/train-*
|
|
|
|
|
|
|
|
|
|
| 16 |
- config_name: complex_multivariate_struct1
|
| 17 |
data_files:
|
| 18 |
- split: train
|
| 19 |
+
path: complex_multivariate_struct1/train-*
|
|
|
|
|
|
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|
|
|
| 20 |
- config_name: complex_multivariate_struct2
|
| 21 |
data_files:
|
| 22 |
- split: train
|
| 23 |
+
path: complex_multivariate_struct2/train-*
|
|
|
|
|
|
|
|
|
|
| 24 |
- config_name: complex_multivariate_struct3
|
| 25 |
data_files:
|
| 26 |
- split: train
|
| 27 |
+
path: complex_multivariate_struct3/train-*
|
|
|
|
|
|
|
|
|
|
| 28 |
- config_name: complex_multivariate_struct4
|
| 29 |
data_files:
|
| 30 |
- split: train
|
| 31 |
+
path: complex_multivariate_struct4/train-*
|
|
|
|
|
|
|
|
|
|
| 32 |
- config_name: complex_multivariate_struct5
|
| 33 |
data_files:
|
| 34 |
- split: train
|
| 35 |
+
path: complex_multivariate_struct5/train-*
|
|
|
|
|
|
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|
|
| 36 |
- config_name: complex_multivariate_struct6
|
| 37 |
data_files:
|
| 38 |
- split: train
|
| 39 |
+
path: complex_multivariate_struct6/train-*
|
|
|
|
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|
|
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|
|
| 40 |
- config_name: complex_univariate
|
| 41 |
data_files:
|
| 42 |
- split: train
|
| 43 |
+
path: complex_univariate/train-*
|
|
|
|
|
|
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|
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|
| 44 |
- config_name: cross_variable_learning_struct0
|
| 45 |
data_files:
|
| 46 |
- split: train
|
| 47 |
+
path: cross_variable_learning_struct0/train-*
|
|
|
|
|
|
|
|
|
|
| 48 |
- config_name: cross_variable_learning_struct1
|
| 49 |
data_files:
|
| 50 |
- split: train
|
| 51 |
+
path: cross_variable_learning_struct1/train-*
|
|
|
|
|
|
|
|
|
|
| 52 |
- config_name: cross_variable_learning_struct2
|
| 53 |
data_files:
|
| 54 |
- split: train
|
| 55 |
+
path: cross_variable_learning_struct2/train-*
|
|
|
|
|
|
|
|
|
|
| 56 |
- config_name: cross_variable_learning_struct3
|
| 57 |
data_files:
|
| 58 |
- split: train
|
| 59 |
+
path: cross_variable_learning_struct3/train-*
|
|
|
|
|
|
|
|
|
|
| 60 |
- config_name: cross_variable_learning_struct4
|
| 61 |
data_files:
|
| 62 |
- split: train
|
| 63 |
+
path: cross_variable_learning_struct4/train-*
|
|
|
|
|
|
|
|
|
|
| 64 |
- config_name: datasetlength
|
| 65 |
data_files:
|
| 66 |
- split: train
|
| 67 |
+
path: datasetlength/train-*
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
| 68 |
- config_name: longdistance
|
| 69 |
data_files:
|
| 70 |
- split: train
|
| 71 |
+
path: longdistance/train-*
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 72 |
- config_name: noise
|
| 73 |
data_files:
|
| 74 |
- split: train
|
| 75 |
+
path: noise/train-*
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 76 |
- config_name: period
|
| 77 |
data_files:
|
| 78 |
- split: train
|
| 79 |
+
path: period/train-*
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 80 |
- config_name: trend
|
| 81 |
data_files:
|
| 82 |
- split: train
|
| 83 |
+
path: trend/train-*
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 84 |
task_categories:
|
| 85 |
- time-series-forecasting
|
| 86 |
+
dataset_info:
|
| 87 |
+
- config_name: anomaly
|
| 88 |
+
features:
|
| 89 |
+
- name: date
|
| 90 |
+
dtype: int64
|
| 91 |
+
- name: Feature1
|
| 92 |
+
dtype: float64
|
| 93 |
+
splits:
|
| 94 |
+
- name: train
|
| 95 |
+
num_bytes: 5760000
|
| 96 |
+
num_examples: 360000
|
| 97 |
+
download_size: 5378809
|
| 98 |
+
dataset_size: 5760000
|
| 99 |
+
- config_name: autocorrelation_long_dependency
|
| 100 |
+
features:
|
| 101 |
+
- name: date
|
| 102 |
+
dtype: int64
|
| 103 |
+
- name: Feature1
|
| 104 |
+
dtype: float64
|
| 105 |
+
splits:
|
| 106 |
+
- name: train
|
| 107 |
+
num_bytes: 4000000
|
| 108 |
+
num_examples: 250000
|
| 109 |
+
download_size: 3735387
|
| 110 |
+
dataset_size: 4000000
|
| 111 |
+
- config_name: complex_multivariate_struct0
|
| 112 |
+
features:
|
| 113 |
+
- name: date
|
| 114 |
+
dtype: string
|
| 115 |
+
- name: Feature1
|
| 116 |
+
dtype: float64
|
| 117 |
+
- name: Feature2
|
| 118 |
+
dtype: float64
|
| 119 |
+
splits:
|
| 120 |
+
- name: train
|
| 121 |
+
num_bytes: 150000
|
| 122 |
+
num_examples: 5000
|
| 123 |
+
download_size: 123368
|
| 124 |
+
dataset_size: 150000
|
| 125 |
+
- config_name: complex_multivariate_struct1
|
| 126 |
+
features:
|
| 127 |
+
- name: date
|
| 128 |
+
dtype: string
|
| 129 |
+
- name: interest_rate
|
| 130 |
+
dtype: float64
|
| 131 |
+
- name: inflation
|
| 132 |
+
dtype: float64
|
| 133 |
+
- name: gdp_growth
|
| 134 |
+
dtype: float64
|
| 135 |
+
- name: unemployment_rate
|
| 136 |
+
dtype: float64
|
| 137 |
+
- name: consumer_spending
|
| 138 |
+
dtype: float64
|
| 139 |
+
splits:
|
| 140 |
+
- name: train
|
| 141 |
+
num_bytes: 270000
|
| 142 |
+
num_examples: 5000
|
| 143 |
+
download_size: 266065
|
| 144 |
+
dataset_size: 270000
|
| 145 |
+
- config_name: complex_multivariate_struct2
|
| 146 |
+
features:
|
| 147 |
+
- name: date
|
| 148 |
+
dtype: string
|
| 149 |
+
- name: temperature
|
| 150 |
+
dtype: float64
|
| 151 |
+
- name: rainfall
|
| 152 |
+
dtype: float64
|
| 153 |
+
- name: ice_cream_sales
|
| 154 |
+
dtype: float64
|
| 155 |
+
- name: umbrella_sales
|
| 156 |
+
dtype: float64
|
| 157 |
+
- name: beverage_sales
|
| 158 |
+
dtype: float64
|
| 159 |
+
splits:
|
| 160 |
+
- name: train
|
| 161 |
+
num_bytes: 270000
|
| 162 |
+
num_examples: 5000
|
| 163 |
+
download_size: 258007
|
| 164 |
+
dataset_size: 270000
|
| 165 |
+
- config_name: complex_multivariate_struct3
|
| 166 |
+
features:
|
| 167 |
+
- name: date
|
| 168 |
+
dtype: string
|
| 169 |
+
- name: Feature1
|
| 170 |
+
dtype: float64
|
| 171 |
+
- name: Feature2
|
| 172 |
+
dtype: float64
|
| 173 |
+
- name: Feature3
|
| 174 |
+
dtype: float64
|
| 175 |
+
splits:
|
| 176 |
+
- name: train
|
| 177 |
+
num_bytes: 190000
|
| 178 |
+
num_examples: 5000
|
| 179 |
+
download_size: 165048
|
| 180 |
+
dataset_size: 190000
|
| 181 |
+
- config_name: complex_multivariate_struct4
|
| 182 |
+
features:
|
| 183 |
+
- name: date
|
| 184 |
+
dtype: string
|
| 185 |
+
- name: economic_growth
|
| 186 |
+
dtype: float64
|
| 187 |
+
- name: employment_rate
|
| 188 |
+
dtype: float64
|
| 189 |
+
- name: market_confidence
|
| 190 |
+
dtype: float64
|
| 191 |
+
- name: negative_indicator
|
| 192 |
+
dtype: float64
|
| 193 |
+
splits:
|
| 194 |
+
- name: train
|
| 195 |
+
num_bytes: 230000
|
| 196 |
+
num_examples: 5000
|
| 197 |
+
download_size: 218653
|
| 198 |
+
dataset_size: 230000
|
| 199 |
+
- config_name: complex_multivariate_struct5
|
| 200 |
+
features:
|
| 201 |
+
- name: date
|
| 202 |
+
dtype: string
|
| 203 |
+
- name: ad_spend
|
| 204 |
+
dtype: float64
|
| 205 |
+
- name: sales
|
| 206 |
+
dtype: float64
|
| 207 |
+
splits:
|
| 208 |
+
- name: train
|
| 209 |
+
num_bytes: 150000
|
| 210 |
+
num_examples: 5000
|
| 211 |
+
download_size: 123335
|
| 212 |
+
dataset_size: 150000
|
| 213 |
+
- config_name: complex_multivariate_struct6
|
| 214 |
+
features:
|
| 215 |
+
- name: date
|
| 216 |
+
dtype: string
|
| 217 |
+
- name: supply
|
| 218 |
+
dtype: float64
|
| 219 |
+
- name: demand
|
| 220 |
+
dtype: float64
|
| 221 |
+
- name: price
|
| 222 |
+
dtype: float64
|
| 223 |
+
splits:
|
| 224 |
+
- name: train
|
| 225 |
+
num_bytes: 190000
|
| 226 |
+
num_examples: 5000
|
| 227 |
+
download_size: 145033
|
| 228 |
+
dataset_size: 190000
|
| 229 |
+
- config_name: complex_univariate
|
| 230 |
+
features:
|
| 231 |
+
- name: date
|
| 232 |
+
dtype: int64
|
| 233 |
+
- name: Feature1
|
| 234 |
+
dtype: float64
|
| 235 |
+
splits:
|
| 236 |
+
- name: train
|
| 237 |
+
num_bytes: 800000
|
| 238 |
+
num_examples: 50000
|
| 239 |
+
download_size: 747380
|
| 240 |
+
dataset_size: 800000
|
| 241 |
+
- config_name: cross_variable_learning_struct0
|
| 242 |
+
features:
|
| 243 |
+
- name: date
|
| 244 |
+
dtype: int64
|
| 245 |
+
- name: FeatureA_WhiteNoise
|
| 246 |
+
dtype: float64
|
| 247 |
+
- name: FeatureB_Lag48
|
| 248 |
+
dtype: float64
|
| 249 |
+
splits:
|
| 250 |
+
- name: train
|
| 251 |
+
num_bytes: 120000
|
| 252 |
+
num_examples: 5000
|
| 253 |
+
download_size: 122635
|
| 254 |
+
dataset_size: 120000
|
| 255 |
+
- config_name: cross_variable_learning_struct1
|
| 256 |
+
features:
|
| 257 |
+
- name: date
|
| 258 |
+
dtype: int64
|
| 259 |
+
- name: FeatureA_WhiteNoise
|
| 260 |
+
dtype: float64
|
| 261 |
+
- name: FeatureB_Lag10
|
| 262 |
+
dtype: float64
|
| 263 |
+
splits:
|
| 264 |
+
- name: train
|
| 265 |
+
num_bytes: 120000
|
| 266 |
+
num_examples: 5000
|
| 267 |
+
download_size: 122989
|
| 268 |
+
dataset_size: 120000
|
| 269 |
+
- config_name: cross_variable_learning_struct2
|
| 270 |
+
features:
|
| 271 |
+
- name: date
|
| 272 |
+
dtype: int64
|
| 273 |
+
- name: FeatureA_Sin
|
| 274 |
+
dtype: float64
|
| 275 |
+
- name: FeatureB_Noise_0dB
|
| 276 |
+
dtype: float64
|
| 277 |
+
- name: FeatureC_Sum
|
| 278 |
+
dtype: float64
|
| 279 |
+
splits:
|
| 280 |
+
- name: train
|
| 281 |
+
num_bytes: 160000
|
| 282 |
+
num_examples: 5000
|
| 283 |
+
download_size: 150800
|
| 284 |
+
dataset_size: 160000
|
| 285 |
+
- config_name: cross_variable_learning_struct3
|
| 286 |
+
features:
|
| 287 |
+
- name: date
|
| 288 |
+
dtype: int64
|
| 289 |
+
- name: FeatureA_WhiteNoise
|
| 290 |
+
dtype: float64
|
| 291 |
+
- name: FeatureB_Lag5
|
| 292 |
+
dtype: float64
|
| 293 |
+
splits:
|
| 294 |
+
- name: train
|
| 295 |
+
num_bytes: 120000
|
| 296 |
+
num_examples: 5000
|
| 297 |
+
download_size: 123027
|
| 298 |
+
dataset_size: 120000
|
| 299 |
+
- config_name: cross_variable_learning_struct4
|
| 300 |
+
features:
|
| 301 |
+
- name: date
|
| 302 |
+
dtype: int64
|
| 303 |
+
- name: FeatureA_WhiteNoise
|
| 304 |
+
dtype: float64
|
| 305 |
+
- name: FeatureB_Lag24
|
| 306 |
+
dtype: float64
|
| 307 |
+
splits:
|
| 308 |
+
- name: train
|
| 309 |
+
num_bytes: 120000
|
| 310 |
+
num_examples: 5000
|
| 311 |
+
download_size: 122857
|
| 312 |
+
dataset_size: 120000
|
| 313 |
+
- config_name: datasetlength
|
| 314 |
+
features:
|
| 315 |
+
- name: date
|
| 316 |
+
dtype: int64
|
| 317 |
+
- name: Feature1
|
| 318 |
+
dtype: float64
|
| 319 |
+
splits:
|
| 320 |
+
- name: train
|
| 321 |
+
num_bytes: 33024000
|
| 322 |
+
num_examples: 2064000
|
| 323 |
+
download_size: 30150682
|
| 324 |
+
dataset_size: 33024000
|
| 325 |
+
- config_name: longdistance
|
| 326 |
+
features:
|
| 327 |
+
- name: date
|
| 328 |
+
dtype: int64
|
| 329 |
+
- name: Feature1
|
| 330 |
+
dtype: float64
|
| 331 |
+
splits:
|
| 332 |
+
- name: train
|
| 333 |
+
num_bytes: 240000
|
| 334 |
+
num_examples: 15000
|
| 335 |
+
download_size: 127490
|
| 336 |
+
dataset_size: 240000
|
| 337 |
+
- config_name: noise
|
| 338 |
+
features:
|
| 339 |
+
- name: date
|
| 340 |
+
dtype: int64
|
| 341 |
+
- name: Feature1
|
| 342 |
+
dtype: float64
|
| 343 |
+
splits:
|
| 344 |
+
- name: train
|
| 345 |
+
num_bytes: 3840000
|
| 346 |
+
num_examples: 240000
|
| 347 |
+
download_size: 3509672
|
| 348 |
+
dataset_size: 3840000
|
| 349 |
+
- config_name: period
|
| 350 |
+
features:
|
| 351 |
+
- name: date
|
| 352 |
+
dtype: int64
|
| 353 |
+
- name: Feature1
|
| 354 |
+
dtype: float64
|
| 355 |
+
splits:
|
| 356 |
+
- name: train
|
| 357 |
+
num_bytes: 800000
|
| 358 |
+
num_examples: 50000
|
| 359 |
+
download_size: 514654
|
| 360 |
+
dataset_size: 800000
|
| 361 |
+
- config_name: trend
|
| 362 |
+
features:
|
| 363 |
+
- name: date
|
| 364 |
+
dtype: int64
|
| 365 |
+
- name: Feature1
|
| 366 |
+
dtype: float64
|
| 367 |
+
splits:
|
| 368 |
+
- name: train
|
| 369 |
+
num_bytes: 880000
|
| 370 |
+
num_examples: 55000
|
| 371 |
+
download_size: 742881
|
| 372 |
+
dataset_size: 880000
|
| 373 |
---
|
| 374 |
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| 375 |
# SynTSBench: A Synthetic Time Series Benchmark
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Double-Sin_SNR20dB_length5000.csv
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Double-Sin_point-anomaly-0pct_length5000.csv
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Double-Sin_point-anomaly-10pct_length5000.csv
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Double-Sin_point-anomaly-15pct_length5000.csv
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Double-Sin_point-anomaly-1pct_length5000.csv
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Double-Sin_point-anomaly-20pct_length5000.csv
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Double-Sin_point-anomaly-5pct_length5000.csv
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Double-Sin_pulse-anomaly-10_length5000.csv
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Double-Sin_pulse-anomaly-1_length5000.csv
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Double-Sin_pulse-anomaly-20_length5000.csv
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Double-Sin_pulse-anomaly-3_length5000.csv
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Double-Sin_pulse-anomaly-5_length5000.csv
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Five-Sin_SNR20dB_length5000.csv
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Five-Sin_point-anomaly-0pct_length5000.csv
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Five-Sin_point-anomaly-10pct_length5000.csv
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Five-Sin_point-anomaly-15pct_length5000.csv
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Five-Sin_point-anomaly-1pct_length5000.csv
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Five-Sin_point-anomaly-20pct_length5000.csv
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Five-Sin_point-anomaly-5pct_length5000.csv
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Five-Sin_pulse-anomaly-10_length5000.csv
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Five-Sin_pulse-anomaly-1_length5000.csv
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Five-Sin_pulse-anomaly-20_length5000.csv
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Five-Sin_pulse-anomaly-3_length5000.csv
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Five-Sin_pulse-anomaly-5_length5000.csv
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Linear-Trend_SNR20dB_length5000.csv
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Linear-Trend_point-anomaly-0pct_length5000.csv
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Linear-Trend_point-anomaly-10pct_length5000.csv
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Linear-Trend_point-anomaly-15pct_length5000.csv
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Linear-Trend_point-anomaly-1pct_length5000.csv
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Linear-Trend_point-anomaly-20pct_length5000.csv
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Linear-Trend_point-anomaly-5pct_length5000.csv
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Linear-Trend_pulse-anomaly-10_length5000.csv
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Linear-Trend_pulse-anomaly-1_length5000.csv
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Linear-Trend_pulse-anomaly-20_length5000.csv
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Linear-Trend_pulse-anomaly-3_length5000.csv
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Linear-Trend_pulse-anomaly-5_length5000.csv
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Logistic-Trend_SNR20dB_length5000.csv
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Logistic-Trend_point-anomaly-0pct_length5000.csv
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Logistic-Trend_point-anomaly-10pct_length5000.csv
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Logistic-Trend_point-anomaly-15pct_length5000.csv
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Logistic-Trend_point-anomaly-1pct_length5000.csv
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Logistic-Trend_point-anomaly-20pct_length5000.csv
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Logistic-Trend_point-anomaly-5pct_length5000.csv
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Logistic-Trend_pulse-anomaly-10_length5000.csv
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Logistic-Trend_pulse-anomaly-1_length5000.csv
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Logistic-Trend_pulse-anomaly-20_length5000.csv
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Logistic-Trend_pulse-anomaly-3_length5000.csv
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Logistic-Trend_pulse-anomaly-5_length5000.csv
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Quadratic-Function_SNR20dB_length5000.csv
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