Nn3.zip Page

11 monthly time series used as a small-scale pilot.

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

The historical data is typically provided in vertical columns of varying lengths. nn3.zip

A review of typically refers to the dataset from the NN3 Forecasting Competition (2006–2007), a seminal event in neural networks and computational intelligence for time series forecasting. This file usually contains a collection of 111 monthly time series drawn from empirical business data. Dataset Overview

111 monthly time series, including the 11 from the reduced set. 11 monthly time series used as a small-scale pilot

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.

The series vary in length (68 to 144 observations) and include seasonal, non-seasonal, and "difficult" patterns with outliers and structural breaks. Key Strengths A review of typically refers to the dataset

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