The historical data is typically provided in vertical columns of varying lengths.
Contestants were traditionally required to forecast 18 points into the future. nn3.zip
11 monthly time series used as a small-scale pilot. The historical data is typically provided in vertical
111 monthly time series, including the 11 from the reduced set. 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
The NN3 competition was designed to evaluate how modern neural network (NN) and computational intelligence (CI) methods compare to traditional statistical benchmarks like those used in the M3 competition. Composition: