Nn3.zip May 2026

It is a standard historical benchmark in the forecasting community and is often included in modern research packages like the tscompdata R package on GitHub.

111 monthly time series, including the 11 from the reduced set. 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 It is a standard historical benchmark in the

Contestants were traditionally required to forecast 18 points into the future. The "masked" nature of the data (anonymized origin)

For modern use, researchers often access these files through the NN3 Official Website or data science repositories like Kaggle . Critical Reception

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