Convert dataset to Parquet

#2
by TanQT24 - opened
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  1. README.md +307 -396
  2. SynTS_Dataset/Dataset_generated_anomaly/dataset1_Double-Sin_SNR20dB_length5000.csv +0 -0
  3. SynTS_Dataset/Dataset_generated_anomaly/dataset1_Double-Sin_point-anomaly-0pct_length5000.csv +0 -0
  4. SynTS_Dataset/Dataset_generated_anomaly/dataset1_Double-Sin_point-anomaly-10pct_length5000.csv +0 -0
  5. SynTS_Dataset/Dataset_generated_anomaly/dataset1_Double-Sin_point-anomaly-15pct_length5000.csv +0 -0
  6. SynTS_Dataset/Dataset_generated_anomaly/dataset1_Double-Sin_point-anomaly-1pct_length5000.csv +0 -0
  7. SynTS_Dataset/Dataset_generated_anomaly/dataset1_Double-Sin_point-anomaly-20pct_length5000.csv +0 -0
  8. SynTS_Dataset/Dataset_generated_anomaly/dataset1_Double-Sin_point-anomaly-5pct_length5000.csv +0 -0
  9. SynTS_Dataset/Dataset_generated_anomaly/dataset1_Double-Sin_pulse-anomaly-10_length5000.csv +0 -0
  10. SynTS_Dataset/Dataset_generated_anomaly/dataset1_Double-Sin_pulse-anomaly-1_length5000.csv +0 -0
  11. SynTS_Dataset/Dataset_generated_anomaly/dataset1_Double-Sin_pulse-anomaly-20_length5000.csv +0 -0
  12. SynTS_Dataset/Dataset_generated_anomaly/dataset1_Double-Sin_pulse-anomaly-3_length5000.csv +0 -0
  13. SynTS_Dataset/Dataset_generated_anomaly/dataset1_Double-Sin_pulse-anomaly-5_length5000.csv +0 -0
  14. SynTS_Dataset/Dataset_generated_anomaly/dataset1_Five-Sin_SNR20dB_length5000.csv +0 -0
  15. SynTS_Dataset/Dataset_generated_anomaly/dataset1_Five-Sin_point-anomaly-0pct_length5000.csv +0 -0
  16. SynTS_Dataset/Dataset_generated_anomaly/dataset1_Five-Sin_point-anomaly-10pct_length5000.csv +0 -0
  17. SynTS_Dataset/Dataset_generated_anomaly/dataset1_Five-Sin_point-anomaly-15pct_length5000.csv +0 -0
  18. SynTS_Dataset/Dataset_generated_anomaly/dataset1_Five-Sin_point-anomaly-1pct_length5000.csv +0 -0
  19. SynTS_Dataset/Dataset_generated_anomaly/dataset1_Five-Sin_point-anomaly-20pct_length5000.csv +0 -0
  20. SynTS_Dataset/Dataset_generated_anomaly/dataset1_Five-Sin_point-anomaly-5pct_length5000.csv +0 -0
  21. SynTS_Dataset/Dataset_generated_anomaly/dataset1_Five-Sin_pulse-anomaly-10_length5000.csv +0 -0
  22. SynTS_Dataset/Dataset_generated_anomaly/dataset1_Five-Sin_pulse-anomaly-1_length5000.csv +0 -0
  23. SynTS_Dataset/Dataset_generated_anomaly/dataset1_Five-Sin_pulse-anomaly-20_length5000.csv +0 -0
  24. SynTS_Dataset/Dataset_generated_anomaly/dataset1_Five-Sin_pulse-anomaly-3_length5000.csv +0 -0
  25. SynTS_Dataset/Dataset_generated_anomaly/dataset1_Five-Sin_pulse-anomaly-5_length5000.csv +0 -0
  26. SynTS_Dataset/Dataset_generated_anomaly/dataset1_Linear-Trend_SNR20dB_length5000.csv +0 -0
  27. SynTS_Dataset/Dataset_generated_anomaly/dataset1_Linear-Trend_point-anomaly-0pct_length5000.csv +0 -0
  28. SynTS_Dataset/Dataset_generated_anomaly/dataset1_Linear-Trend_point-anomaly-10pct_length5000.csv +0 -0
  29. SynTS_Dataset/Dataset_generated_anomaly/dataset1_Linear-Trend_point-anomaly-15pct_length5000.csv +0 -0
  30. SynTS_Dataset/Dataset_generated_anomaly/dataset1_Linear-Trend_point-anomaly-1pct_length5000.csv +0 -0
  31. SynTS_Dataset/Dataset_generated_anomaly/dataset1_Linear-Trend_point-anomaly-20pct_length5000.csv +0 -0
  32. SynTS_Dataset/Dataset_generated_anomaly/dataset1_Linear-Trend_point-anomaly-5pct_length5000.csv +0 -0
  33. SynTS_Dataset/Dataset_generated_anomaly/dataset1_Linear-Trend_pulse-anomaly-10_length5000.csv +0 -0
  34. SynTS_Dataset/Dataset_generated_anomaly/dataset1_Linear-Trend_pulse-anomaly-1_length5000.csv +0 -0
  35. SynTS_Dataset/Dataset_generated_anomaly/dataset1_Linear-Trend_pulse-anomaly-20_length5000.csv +0 -0
  36. SynTS_Dataset/Dataset_generated_anomaly/dataset1_Linear-Trend_pulse-anomaly-3_length5000.csv +0 -0
  37. SynTS_Dataset/Dataset_generated_anomaly/dataset1_Linear-Trend_pulse-anomaly-5_length5000.csv +0 -0
  38. SynTS_Dataset/Dataset_generated_anomaly/dataset1_Logistic-Trend_SNR20dB_length5000.csv +0 -0
  39. SynTS_Dataset/Dataset_generated_anomaly/dataset1_Logistic-Trend_point-anomaly-0pct_length5000.csv +0 -0
  40. SynTS_Dataset/Dataset_generated_anomaly/dataset1_Logistic-Trend_point-anomaly-10pct_length5000.csv +0 -0
  41. SynTS_Dataset/Dataset_generated_anomaly/dataset1_Logistic-Trend_point-anomaly-15pct_length5000.csv +0 -0
  42. SynTS_Dataset/Dataset_generated_anomaly/dataset1_Logistic-Trend_point-anomaly-1pct_length5000.csv +0 -0
  43. SynTS_Dataset/Dataset_generated_anomaly/dataset1_Logistic-Trend_point-anomaly-20pct_length5000.csv +0 -0
  44. SynTS_Dataset/Dataset_generated_anomaly/dataset1_Logistic-Trend_point-anomaly-5pct_length5000.csv +0 -0
  45. SynTS_Dataset/Dataset_generated_anomaly/dataset1_Logistic-Trend_pulse-anomaly-10_length5000.csv +0 -0
  46. SynTS_Dataset/Dataset_generated_anomaly/dataset1_Logistic-Trend_pulse-anomaly-1_length5000.csv +0 -0
  47. SynTS_Dataset/Dataset_generated_anomaly/dataset1_Logistic-Trend_pulse-anomaly-20_length5000.csv +0 -0
  48. SynTS_Dataset/Dataset_generated_anomaly/dataset1_Logistic-Trend_pulse-anomaly-3_length5000.csv +0 -0
  49. SynTS_Dataset/Dataset_generated_anomaly/dataset1_Logistic-Trend_pulse-anomaly-5_length5000.csv +0 -0
  50. SynTS_Dataset/Dataset_generated_anomaly/dataset1_Quadratic-Function_SNR20dB_length5000.csv +0 -0
README.md CHANGED
@@ -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
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- with columns: Feature1, date'
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  - config_name: complex_multivariate_struct0
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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_complex_multivariate/dataset1_Lotka-Volterra_raw_length5000.csv
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- description: 'Synthetic time series data from Dataset_generated_complex_multivariate
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- with columns: Feature1, Feature2, date'
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  - config_name: complex_multivariate_struct1
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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_complex_multivariate/dataset1_Macro-Economy_raw_length5000.csv
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- description: 'Synthetic time series data from Dataset_generated_complex_multivariate
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- with columns: consumer_spending, date, gdp_growth, inflation, interest_rate, unemployment_rate'
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  - config_name: complex_multivariate_struct2
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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_complex_multivariate/dataset1_Weather-Sales_raw_length5000.csv
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- description: 'Synthetic time series data from Dataset_generated_complex_multivariate
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- with columns: beverage_sales, date, ice_cream_sales, rainfall, temperature, umbrella_sales'
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  - config_name: complex_multivariate_struct3
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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_complex_multivariate/dataset1_SIR-Model_raw_length5000.csv
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- description: 'Synthetic time series data from Dataset_generated_complex_multivariate
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- with columns: Feature1, Feature2, Feature3, date'
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  - config_name: complex_multivariate_struct4
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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_complex_multivariate/dataset1_Intervention-Effect_raw_length5000.csv
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- description: 'Synthetic time series data from Dataset_generated_complex_multivariate
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- with columns: date, economic_growth, employment_rate, market_confidence, negative_indicator'
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  - config_name: complex_multivariate_struct5
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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_complex_multivariate/dataset1_Ad-Sales_raw_length5000.csv
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- description: 'Synthetic time series data from Dataset_generated_complex_multivariate
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- with columns: ad_spend, date, sales'
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  - 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
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
462
  ---
463
 
464
  # SynTSBench: A Synthetic Time Series Benchmark
 
4
  - config_name: anomaly
5
  data_files:
6
  - split: train
7
+ path: anomaly/train-*
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
8
  - config_name: autocorrelation_long_dependency
9
  data_files:
10
  - split: train
11
+ path: autocorrelation_long_dependency/train-*
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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-*
 
 
 
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-*
 
 
 
36
  - config_name: complex_multivariate_struct6
37
  data_files:
38
  - split: train
39
+ path: complex_multivariate_struct6/train-*
 
 
 
40
  - config_name: complex_univariate
41
  data_files:
42
  - split: train
43
+ path: complex_univariate/train-*
 
 
 
 
 
 
 
 
 
 
 
 
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-*
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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-*
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
375
  # SynTSBench: A Synthetic Time Series Benchmark
SynTS_Dataset/Dataset_generated_anomaly/dataset1_Double-Sin_SNR20dB_length5000.csv DELETED
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Double-Sin_point-anomaly-0pct_length5000.csv DELETED
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Double-Sin_point-anomaly-10pct_length5000.csv DELETED
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Double-Sin_point-anomaly-15pct_length5000.csv DELETED
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Double-Sin_point-anomaly-1pct_length5000.csv DELETED
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Double-Sin_point-anomaly-20pct_length5000.csv DELETED
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Double-Sin_point-anomaly-5pct_length5000.csv DELETED
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Double-Sin_pulse-anomaly-10_length5000.csv DELETED
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Double-Sin_pulse-anomaly-1_length5000.csv DELETED
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Double-Sin_pulse-anomaly-20_length5000.csv DELETED
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Double-Sin_pulse-anomaly-3_length5000.csv DELETED
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Double-Sin_pulse-anomaly-5_length5000.csv DELETED
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Five-Sin_SNR20dB_length5000.csv DELETED
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Five-Sin_point-anomaly-0pct_length5000.csv DELETED
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Five-Sin_point-anomaly-10pct_length5000.csv DELETED
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Five-Sin_point-anomaly-15pct_length5000.csv DELETED
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Five-Sin_point-anomaly-1pct_length5000.csv DELETED
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Five-Sin_point-anomaly-20pct_length5000.csv DELETED
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Five-Sin_point-anomaly-5pct_length5000.csv DELETED
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Five-Sin_pulse-anomaly-10_length5000.csv DELETED
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Five-Sin_pulse-anomaly-1_length5000.csv DELETED
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Five-Sin_pulse-anomaly-20_length5000.csv DELETED
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Five-Sin_pulse-anomaly-3_length5000.csv DELETED
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Five-Sin_pulse-anomaly-5_length5000.csv DELETED
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Linear-Trend_SNR20dB_length5000.csv DELETED
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Linear-Trend_point-anomaly-0pct_length5000.csv DELETED
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Linear-Trend_point-anomaly-10pct_length5000.csv DELETED
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Linear-Trend_point-anomaly-15pct_length5000.csv DELETED
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Linear-Trend_point-anomaly-1pct_length5000.csv DELETED
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Linear-Trend_point-anomaly-20pct_length5000.csv DELETED
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Linear-Trend_point-anomaly-5pct_length5000.csv DELETED
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Linear-Trend_pulse-anomaly-10_length5000.csv DELETED
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Linear-Trend_pulse-anomaly-1_length5000.csv DELETED
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Linear-Trend_pulse-anomaly-20_length5000.csv DELETED
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Linear-Trend_pulse-anomaly-3_length5000.csv DELETED
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Linear-Trend_pulse-anomaly-5_length5000.csv DELETED
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Logistic-Trend_SNR20dB_length5000.csv DELETED
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Logistic-Trend_point-anomaly-0pct_length5000.csv DELETED
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Logistic-Trend_point-anomaly-10pct_length5000.csv DELETED
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Logistic-Trend_point-anomaly-15pct_length5000.csv DELETED
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Logistic-Trend_point-anomaly-1pct_length5000.csv DELETED
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Logistic-Trend_point-anomaly-20pct_length5000.csv DELETED
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Logistic-Trend_point-anomaly-5pct_length5000.csv DELETED
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Logistic-Trend_pulse-anomaly-10_length5000.csv DELETED
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SynTS_Dataset/Dataset_generated_anomaly/dataset1_Logistic-Trend_pulse-anomaly-1_length5000.csv DELETED
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