datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
surya-bench-flare-forecasting
Full-disk Solar Flare Forecasting Dataset
Dataset Summary
This dataset provides labels for solar flare forecasting derived from NOAA GOES flare events from May 2010 to December 2024. Labels are constructed using a 24h rolling prediction window sampled at an hourly cadence. Each window is annotated with both max GOES class (based on peak X-ray flux) and cumulative flare index.
Two derived binary labels are included for forecasting tasks:
label_max: 1 if the maximum… See the full description on the dataset page: https://huggingface.co/datasets/nasa-ibm-ai4science/surya-bench-flare-forecasting.store-sales-time-series-forecasting
taken from this Kaggle competition:
Dataset Description
In this competition, you will predict sales for the thousands of product families sold at Favorita stores located in Ecuador. The training data includes dates, store and product information, whether that item was being promoted, as well as the sales numbers. Additional files include supplementary information that may be useful in building your models.
File Descriptions and Data Field Information… See the full description on the dataset page: https://huggingface.co/datasets/mrcksggcfc/store-sales-time-series-forecasting.multimodal-time-series-forecastingsales-forecasting-dataenergy-forecasting-filesweather-forecasting-challenge
Dataset Description
Data Overview
The WiDS Datathon 2023 focuses on a prediction task involving forecasting sub-seasonal temperatures (temperatures over a two-week period, in our case) within the United States. We are using a pre-prepared dataset consisting of weather and climate information for a number of US locations, for a number of start dates for the two-week observation, as well as the forecasted temperature and precipitation from a number of weather… See the full description on the dataset page: https://huggingface.co/datasets/serenia-science/weather-forecasting-challenge.grocery-sales-forecastingcip-forecasting-Macroeconomic_Indicators_datasetIN5000-MB-TUD-Forecasting
A Framework for Identifying Evolution Patterns of Open-Source Software Projects
IN5000 TU Delft - MSc Computer Science
This repository contains the multivariate time series forecasting datasets related to the following repository:
https://github.com/IN5000-MB-TUD/data-analysis
Contributors
Project developed for the course IN5000 - Master's thesis of the 2023/2024 academic year at TU Delft.
Author:
Mattia Bonfanti
m.bonfanti@student.tudelft.nl
Master's in Computer… See the full description on the dataset page: https://huggingface.co/datasets/MattiaBonfanti-CS/IN5000-MB-TUD-Forecasting.forecastingalessandrolobello_agri-food-co2-emission-dataset-forecasting-ml
Agri-food CO2 emission dataset - Forecasting ML
Leveraging Machine Learning for Forecasting Agricultural CO2 Emissions, IPCC/FAO
Dataset Info
Source: Kaggle
Original Size: 0.69 MB
Kaggle Downloads: 7,081
Files: 1
Files
Agrofood_co2_emission.csv
Mirrored from Kaggle
synthetic_eu_energy_demand_forecasting_2025
synthetic_eu_energy_demand_forecasting_2025
Dataset sintético para análisis energético europeo 2025.
Ideal para:
Modelos de predicción energética
Cumplimiento AI Act (datos no personales, sintéticos 100%)
Investigación científica
Proyectos energéticos sin riesgo legal
Campos:
timestamp
country
temperature_c
wind_speed_kmh
solar_radiation
energy_demand_mwh
synthetic_label
power_forecasting_project_datasetUber-Demand-Forecastingforecasting_test_3smart-greenhouse-forecastingpower_forecasting_projectStore-Sales-Time-Series-Forecasting-result-0.45607