Nn3.zip (2027)

Includes a wide range of real-world business patterns (e.g., industry data), making it a robust test for model generalization.

The "masked" nature of the data (anonymized origin) ensures that models must rely on time series patterns rather than domain-specific knowledge. Practical Considerations nn3.zip

The series vary in length (68 to 144 observations) and include seasonal, non-seasonal, and "difficult" patterns with outliers and structural breaks. Key Strengths Includes a wide range of real-world business patterns (e