30 datasets found

The M4 dataset consists of human-written texts from several data sources, including Wikipedia, Reddit, and arXiv in the English subset of the dataset. It pairs the human-written...

The dataset used in the paper is a forecasting competition dataset, where each forecaster predicts the probability of some future events occurring, then observes those events...

Electricity2, Traffic3, and Wikipedia4, preprocessed exactly as in (Salinas et al., 2019a), with their properties listed in Table 3.

Electricity2, Traffic3, and Wikipedia4, preprocessed exactly as in (Salinas et al., 2019a), with their properties listed in Table 3.

The dataset used for forecasting the energy consumption in public buildings.

A benchmark for temporal question answering and forecasting over temporal knowledge graphs.

The M4 competition dataset is a collection of time series data from six domains: micro, industry, macro, finance, demographic, and other.

The dataset used in this paper is the electricity load data from two cities in China, covering monthly real load data and 12 features corresponding to load consumption.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used it for time series forecasting tasks.

The dataset used for ILI prediction.

Temperature dataset for time series forecasting

The UEA archive is a collection of multivariate time series datasets where classification is of importance.

The UCR archive is a collection of univariate time series datasets where classification is of importance.

The Argoverse 2 motion forecasting dataset contains 250,000 driving scenarios, each 11 seconds long. These scenarios cover 6 geographical regions and represent 763 total hours...

Multivariate time series forecasting is an important machine learning problem across many domains, including predictions of solar plant energy output, electricity consumption,...

The dataset used in the paper is a real-world dataset for time series forecasting, which is used to evaluate the performance of the proposed MG-TSD model.

The dataset used in the paper is a real-world dataset for time series forecasting, which is used to evaluate the performance of the proposed Multi-Granularity Time Series...

Rainfall forecasting dataset used in the paper to evaluate the proposed Two-stage Rainfall-Forecasting Diffusion Model (TRDM)

Rainfall forecasting dataset used in the paper to evaluate the proposed Two-stage Rainfall-Forecasting Diffusion Model (TRDM)

This dataset contains the pickup, drop-off timestamps and pickup, drop-off locations of taxis in New York city from 1st Jan 2019 to 28th Feb 2019.