datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.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.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.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.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.time-series-forecasting-datasets-preprocessedstore-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.M5_Forecastingtime_series_forecastingforecastingDataset 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/THULab/goes_omni_electron_flux_forecasting.Multimodal-Stock-Forecasting-Datasetstore-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.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.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.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.multimodal-time-series-forecastinglaliga-football-match-forecasting
LaLiga Football Match Forecasting Dataset
Version 0.2.0 is a reproducible, match-level starting point for
time-aware LaLiga forecasting. It contains historical full-time results and
basic match statistics from Football-Data.co.uk, plus features calculated only
from matches that occurred before each target match.
Contents
pre_match_forecasting.parquet — the main Hugging Face dataset with
chronological train, validation, and test splits.… See the full description on the dataset page: https://huggingface.co/datasets/NewSonnet/laliga-football-match-forecasting.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.khoa-forecasting-du-lieu
Tony2202/khoa-forecasting-du-lieu
Bản sao nguyên byte (không sửa đổi) của các bộ dữ liệu có giấy phép cho phân phối lại, dùng cho
khoá Forecasting in AI. Mỗi thư mục một bộ; giấy phép của TỪNG bộ ghi dưới đây và là giấy phép áp dụng.
sha256 của mỗi tệp trùng với tệp tải từ nguồn gốc.
bea-nipa-danh-muc-chuoi/SeriesRegister.txt — BEA NIPA SeriesRegister — nhãn, đơn vị, thang, bảng:dòng của mọi mã chuỗi
Nguồn gốc: https://apps.bea.gov/national/Release/TXT/
Giấy… See the full description on the dataset page: https://huggingface.co/datasets/Tony2202/khoa-forecasting-du-lieu.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/Y123-wed/Multimodal-Dataset-Image_Text_Table_TimeSeries-for-Financial-Time-Series-Forecasting.Electricity_Load_Forecasting_using_LLMSTime-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.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.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/tishtakalita/Multimodal-Dataset-Image_Text_Table_TimeSeries-for-Financial-Time-Series-Forecasting.m5-sales-forecasting-datasetseea_pm25_forecasting
EEA PM2.5 Air Quality Dataset - Europe (TsFile)
Apache TsFile version of
cosuleabianca/eea-pm25-forecasting.
Overview
Hourly air-quality and meteorology measurements from European Environment
Agency (EEA) monitoring sites prepared for PM2.5 forecasting research:
1,945,152 hourly rows (one per country + site + UTC hour) with PM2.5, NO2 and
PM10 concentrations, ERA5-style meteorology (temperature, humidity, dew
point, precipitation, pressure, wind components) and… See the full description on the dataset page: https://huggingface.co/datasets/THULab/eea_pm25_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.