datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
liander2024-energy-forecasting-benchmark
Dataset Card for Liander 2024 Short Term Energy Forecasting Benchmark
This dataset provides a benchmark for short term energy forecasting models, combining electrical load measurements from Dutch DSO Liander with predictors like corresponding weather data from OpenMeteo, day-ahead electricity prices from ENTSO-E, and profiles of electricity consumption from Energiedatawijzer. The dataset covers the full year 2024 (2024-01-01 to 2025-01-01 UTC) and includes 55 different points in… See the full description on the dataset page: https://huggingface.co/datasets/OpenSTEF/liander2024-energy-forecasting-benchmark.Multimodal-Dataset-Image_Text_Table_TimeSeries-for-Financial-Time-Series-ForecastingThe sp500stock_data_description.csv file provides detailed information on the existence of four modalities (text, image, time series, and table) for 4,213 S&P 500 stocks.
The hs300stock_data_description.csv file provides detailed information on the existence of four modalities (text, image, time series, and table) for 858 HS 300 stocks.
If you find our research helpful, please cite our paper:
@article{xu2025finmultitime,
title={FinMultiTime: A Four-Modal Bilingual Dataset for… See the full description on the dataset page: https://huggingface.co/datasets/Wenyan0110/Multimodal-Dataset-Image_Text_Table_TimeSeries-for-Financial-Time-Series-Forecasting.forecastbench-datasets
ForecastBench Datasets
This repository contains the datasets produced by ForecastBench, a forecasting benchmark for
LLMs.
More info at https://www.forecastbench.org.
Code available at https://github.com/forecastingresearch/forecastbench.
License
The datasets in this repository are distributed under the CC BY-SA 4.0 license.
Citation
@inproceedings{karger2025forecastbench,
title={ForecastBench: A Dynamic Benchmark of AI Forecasting… See the full description on the dataset page: https://huggingface.co/datasets/forecastingresearch/forecastbench-datasets.Time-Series-Forecasting-Benchmark-Datasets
Time Series Forecasting Benchmark Datasets
Documentation Language
简体中文 | English | Tiếng Việt
Dataset Download
https://huggingface.co/datasets/Duyu/Time-Series-Forecasting-Benchmark-Datasets/tree/main
https://github.com/duyu09/TimeSeries-Forecasting-Dataset/releases/download/v1.0.0/dataset.7z
Dataset Desc.
ETT The Electricity Transformer Temperature (ETT) dataset serves as a critical benchmark for evaluating electric power forecasting. It… See the full description on the dataset page: https://huggingface.co/datasets/Duyu/Time-Series-Forecasting-Benchmark-Datasets.time-series-forecasting-datasetsmkdir -p dataset/ETT-small
mkdir -p dataset/electricity
mkdir -p dataset/traffic
mkdir -p dataset/weather
(
cd dataset
# -t 5: Retry up to 5 times on failure
# -nc: Skip download if file already exists (no-clobber)
# -q: Run quietly to suppress long logs (remove if not needed)
COMMON_ARGS="-t 5 -nc"
URL_PREFIX="https://huggingface.co/datasets/pkr7098/time-series-forecasting-datasets/blob/main"
wget $COMMON_ARGS $URL_PREFIX/ETTh1.csv &
wget $COMMON_ARGS… See the full description on the dataset page: https://huggingface.co/datasets/pkr7098/time-series-forecasting-datasets.liander2024-energy-forecasting-benchmark
Dataset Card for Liander 2024 Short Term Energy Forecasting Benchmark
This dataset provides a benchmark for short term energy forecasting models, combining electrical load measurements from Dutch DSO Liander with predictors like corresponding weather data from OpenMeteo, day-ahead electricity prices from ENTSO-E, and profiles of electricity consumption from Energiedatawijzer. The dataset covers the full year 2024 (2024-01-01 to 2025-01-01 UTC) and includes 55 different points in… See the full description on the dataset page: https://huggingface.co/datasets/cat1233211/liander2024-energy-forecasting-benchmark.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
train.csv… See the full description on the dataset page: https://huggingface.co/datasets/t4tiana/store-sales-time-series-forecasting.forecasting_rawRaw Dataset from "Approaching Human-Level Forecasting with Language Models"
This documentation provides an overview of the raw dataset utilized in our research paper, Approaching Human-Level Forecasting with Language Models, authored by Danny Halawi, Fred Zhang, Chen Yueh-Han, and Jacob Steinhardt.
Data Source and Format
The dataset originates from forecasting platforms such as Metaculus, Good Judgment Open, INFER, Polymarket, and Manifold. These platforms engage users in predicting the… See the full description on the dataset page: https://huggingface.co/datasets/YuehHanChen/forecasting_raw.goes_omni_electron_flux_forecasting
GOES–OMNI >2 MeV Electron Flux Forecasting
This dataset combines cross-calibrated NOAA GOES-14/GOES-16 >2 MeV electron
flux with NASA/GSFC OMNI solar-wind and geomagnetic drivers on a uniform
five-minute UTC grid.
It provides two configurations:
ml-ready (default): scaled causal features, validity flags, unscaled
30-minute/6-hour/12-hour targets, and leakage-safe chronological splits.
scientific-master: unscaled source measurements, instrument context,
calibration factors, and… See the full description on the dataset page: https://huggingface.co/datasets/THULab/goes_omni_electron_flux_forecasting.M5_ForecastingMultimodal-Dataset-Image_Text_Table_TimeSeries-for-Financial-Time-Series-ForecastingThe sp500stock_data_description.csv file provides detailed information on the existence of four modalities (text, image, time series, and table) for 4,213 S&P 500 stocks.
The hs300stock_data_description.csv file provides detailed information on the existence of four modalities (text, image, time series, and table) for 858 HS 300 stocks.
If you find our research helpful, please cite our paper:
@article{xu2025finmultitime,
title={FinMultiTime: A Four-Modal Bilingual Dataset for… See the full description on the dataset page: https://huggingface.co/datasets/Y123-wed/Multimodal-Dataset-Image_Text_Table_TimeSeries-for-Financial-Time-Series-Forecasting.inductive-forecasting-data
Inductive Forecasting Study — Anonymous Data Release
This repository is the anonymous data companion to a paper studying behavioral
signatures of inductive reasoning in language-model forecasts. It packages the
frozen inputs, model responses, row-level scores, and aggregate result artifacts
used by the paper's four main experiments, together with synthetic appendix
transfer studies.
The release is organized as Hugging Face dataset configurations so each study can
be loaded… See the full description on the dataset page: https://huggingface.co/datasets/od2961/inductive-forecasting-data.forecastingDataset from "Approaching Human-Level Forecasting with Language Models"
This document details the curated dataset developed for our research paper, Approaching Human-Level Forecasting with Language Models, authored by Danny Halawi, Fred Zhang, Chen Yueh-Han, and Jacob Steinhardt.
Data Source and Format
The dataset is compiled from forecasting platforms including Metaculus, Good Judgment Open, INFER, Polymarket, and Manifold. These platforms enable users to predict future events by assigning… See the full description on the dataset page: https://huggingface.co/datasets/YuehHanChen/forecasting.goes-omni-electron-flux-forecasting
GOES–OMNI >2 MeV Electron Flux Forecasting
This dataset combines cross-calibrated NOAA GOES-14/GOES-16 >2 MeV electron
flux with NASA/GSFC OMNI solar-wind and geomagnetic drivers on a uniform
five-minute UTC grid.
It provides two configurations:
ml-ready (default): scaled causal features, validity flags, unscaled
30-minute/6-hour/12-hour targets, and leakage-safe chronological splits.
scientific-master: unscaled source measurements, instrument context,
calibration factors, and… See the full description on the dataset page: https://huggingface.co/datasets/snowsadh/goes-omni-electron-flux-forecasting.Multimodal-Stock-Forecasting-Datasetsurya-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.m5-retail-demand-forecasting-benchmarks
M5 Retail Demand Forecasting & Inventory Risk Benchmarks
This dataset contains the heavily processed artifacts, extracted time-series features, baseline benchmarks, and model artifacts for the M5 Retail Demand Forecasting dataset.
It includes:
Over 1GB of highly engineered temporal, pricing, and calendar features.
Volatility and shortfall risk metrics for 42,840 time series.
XGBoost, Prophet, and SARIMA predictions (point + 95% intervals).
Isolation Forest anomaly detection… See the full description on the dataset page: https://huggingface.co/datasets/snchakri/m5-retail-demand-forecasting-benchmarks.time-series-forecasting-datasets-preprocessedtime_series_forecastingMultimodal-Dataset-Image_Text_Table_TimeSeries-for-Financial-Time-Series-ForecastingThe sp500stock_data_description.csv file provides detailed information on the existence of four modalities (text, image, time series, and table) for 4,213 S&P 500 stocks.
The hs300stock_data_description.csv file provides detailed information on the existence of four modalities (text, image, time series, and table) for 858 HS 300 stocks.
If you find our research helpful, please cite our paper:
@article{xu2025finmultitime,
title={FinMultiTime: A Four-Modal Bilingual Dataset for… See the full description on the dataset page: https://huggingface.co/datasets/tishtakalita/Multimodal-Dataset-Image_Text_Table_TimeSeries-for-Financial-Time-Series-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.Time-Series-Forecasting-Benchmark-Datasets
Time Series Forecasting Benchmark Datasets
Documentation Language
简体中文 | English | Tiếng Việt
Dataset Download
https://huggingface.co/datasets/Duyu/Time-Series-Forecasting-Benchmark-Datasets/tree/main
https://github.com/duyu09/TimeSeries-Forecasting-Dataset/releases/download/v1.0.0/dataset.7z
Dataset Desc.
ETT The Electricity Transformer Temperature (ETT) dataset serves as a critical benchmark for evaluating electric power… See the full description on the dataset page: https://huggingface.co/datasets/hiwe0305/Time-Series-Forecasting-Benchmark-Datasets.pm25-forecasting-data
PM2.5 Forecasting Demo Data
This dataset stores the lightweight artifacts used by the Hugging Face Space demo:
https://huggingface.co/spaces/sumit1703/pm25-forecasting
The files are precomputed outputs from the ANRF AISEHack Phase 2 Theme 2 Pollution Forecasting project. The Space uses these artifacts only for visualization. It does not run live model inference, training, or torch at runtime.
Files
File
Description
demo_preds.npy
Precomputed PM2.5… See the full description on the dataset page: https://huggingface.co/datasets/sumit1703/pm25-forecasting-data.eea-pm25-forecasting
EEA PM2.5 Air Quality Dataset
Hourly air quality measurements from the European Environment Agency (EEA) for PM2.5 forecasting research.
Dataset Description
This dataset contains hourly air pollutant concentrations and meteorological data from monitoring stations across 5 European cities, prepared for machine learning forecasting tasks.
Data Sources
Air Quality: European Environment Agency (EEA) Air Quality Portal
Weather: Open-Meteo Archive API… See the full description on the dataset page: https://huggingface.co/datasets/cosuleabianca/eea-pm25-forecasting.repro-beyond-model-ranking-predictability-aligned-evaluation-for-time-series-forecasting-results
Beyond Model Ranking reproduction results
This dataset repository contains scripts, tests, raw tables, figures, and intermediate predictions for an independent reproduction of Beyond Model Ranking: Predictability-Aligned Evaluation for Time Series Forecasting.
The reproduction follows the algorithms in the authors official repository and uses the four public ETT datasets from the official ETT repository. The original ETT CSVs are not duplicated here; rerun commands fetch them… See the full description on the dataset page: https://huggingface.co/datasets/apararti/repro-beyond-model-ranking-predictability-aligned-evaluation-for-time-series-forecasting-results.wids2023_competition_weather_forecasting
WiDS 2023 Weather Forecasting (TsFile format)
Apache TsFile conversion of mirai-ml/wids2023_competition_weather_forecasting. The repository contains both source splits from the same Hugging Face dataset.
Modalities: Time-series.
Overview
The WiDS Datathon 2023 task forecasts the arithmetic mean of the maximum and minimum temperature over the following 14 days for each US location and start date. The source combines weather, climate, forecast-model, and oscillation… See the full description on the dataset page: https://huggingface.co/datasets/THULab/wids2023_competition_weather_forecasting.en-forecasting-bigdata
Dataset Card for "flare-sm-bigdata"
More Information needed
academic-electric-forecasting-r
Academic Building Electricity Forecasting (R)
Project phân tích khám phá dữ liệu và dự báo điện năng cho tòa nhà Academic.
Toàn bộ EDA, feature engineering và training được viết bằng R; dữ liệu nguồn và
kết quả tái lập được lưu cùng repository.
Nội dung repository
academic_electric_forecasting_R/
├── data/ # energy, occupancy và calendar dùng chung
├── eda/ # script và notebook EDA
├── train/ # feature engineering… See the full description on the dataset page: https://huggingface.co/datasets/HoangTrungNguyen/academic-electric-forecasting-r.reg_forecasting
REG-Forecasting (TsFile)
Apache TsFile version of
wachawich/REG-Forecasting.
Overview
Renewable Energy Generation (REG) forecasting data at hourly granularity, spanning
2020-01-01 to 2025-11-19 (UTC). Each record pairs the power generation of a given hour
(value) with the meteorological and solar-geometry features for that same hour, for use in
generation-forecasting models.
Two generation types: type_name = Solar / Wind (fueltype 1 / 2).
Forecast target: value —… See the full description on the dataset page: https://huggingface.co/datasets/THULab/reg_forecasting.unlp-ukraine-forecasting
UNLP Ukraine Forecasting Dataset
A prediction-market forecasting benchmark with 111 resolved Ukraine-related Polymarket markets, 672 frozen cutoff points, 7 fixed prediction horizons (6h, 12h, 1d, 2d, 3d, 5d, 7d), and ~660K model predictions from 5 LLMs (GPT-5, GPT-5-mini, Gemini 2.5 Flash, Gemini 2.5 Pro, Gemini 3.1 Pro Preview) under 4 information conditions (A/C/D/D_UA).
Built by walking the same code path as the UNLP 2026 evaluation harness (eval/harness.py:build_prompt()) —… See the full description on the dataset page: https://huggingface.co/datasets/OpenBabylon/unlp-ukraine-forecasting.