5 datasets found

UCR Time Series Archive is a collection of time series datasets from various domains. It is used for training and testing deep neural networks for time series classification tasks.

Time series clustering dataset

Store Sales competition dataset contains 1729 time series of 1684 steps clustering daily sales of thousands of products sold by different stores in the main cities of Ecuador...

M5 competition dataset contains 30490 time series with 1913 time steps recording daily sales of items of different categories at Walmart in various stores, departments, and...

Long-sequence time series clustering (LSTC) datasets from UCR Time Series Archive and real-world retail forecasting datasets