datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
cbb26-timeseries-db
CBB26 Timescale market data (cbb26-timeseries-db)
Public Timescale/Postgres replay shards for the cbb26 monorepo: canonical Coinbase Advanced Trade level-2 order book history stored in the market_data schema, packaged as restorable pg_dump files for research, corpus materialization, and reproducibility.
Canonical Hub repo: deusmos/cbb26-timeseries-db
Source-of-truth for this card (edit here, then publish): docs/datasets/cbb26-timeseries-db/README.md in the cbb26 git repo.… See the full description on the dataset page: https://huggingface.co/datasets/deusmos/cbb26-timeseries-db.Time-Series-Library
Time-Series-Library (TSLib)
TSLib is an open-source library for deep learning researchers, especially for deep time series analysis.
We provide a neat code base to evaluate advanced deep time series models or develop your model, which covers five mainstream tasks: long- and short-term forecasting, imputation, anomaly detection, and classification.
This benchmark collection is designed to evaluate and develop advanced deep time-series models. For an in-depth exploration of current… See the full description on the dataset page: https://huggingface.co/datasets/thuml/Time-Series-Library.Timeseries-PILE
Time Series PILE
The Time-series Pile is a large collection of publicly available data from diverse domains, ranging from healthcare to engineering and finance. It comprises of over 5
public time-series databases, from several diverse domains for time series foundation model pre-training and evaluation.
Time Series PILE Description
We compiled a large collection of publicly available datasets from diverse domains into the Time Series Pile. It has 13 unique domains of data… See the full description on the dataset page: https://huggingface.co/datasets/AutonLab/Timeseries-PILE.splitted_PretrainGiftEvaltime-series-datasetMultimodal-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.TreeSatAI-Time-Series
TreeSatAI-Time-Series
This dataset was introduced in the ECCV24 paper OmniSat.
Ahlswede et al. (https://essd.copernicus.org/articles/15/681/2023/) introduced the TreeSatAI Benchmark Archive, a new dataset for tree species classification in Central Europe based on multi-sensor data from aerial,
Sentinel-1 and Sentinel-2. The dataset contains labels of 20 European tree species (i.e., 15 tree genera) derived from forest administration data of the federal state of Lower Saxony… See the full description on the dataset page: https://huggingface.co/datasets/IGNF/TreeSatAI-Time-Series.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.timeseries_datasynthetic-timeseries-data
cruscy data — evaluation sample
Three full days of real crypto market microstructure (Binance spot), prepared
for public evaluation: absolute prices, dates, and the instrument are withheld —
the shape of the day (tick-by-tick relative price, normalized volumes, trade
side, book imbalance) is fully preserved.
The full feed — 27+ streams (raw L2 depth, 1-second trade tape, order-book
metrics, derived features, regime labels) with SQL console, backtest runner and
MCP access for AI… See the full description on the dataset page: https://huggingface.co/datasets/GOD111111111/synthetic-timeseries-data.timeseries-daily-stocks
Dataset Card for "timeseries-daily-stocks"
More Information needed
wikimedia-pageview-timeseries-raw
Wikimedia Pageview Time Series — full raw (wide format)
Full, unsampled Wikipedia pageview time series for every Wikimedia
project (Wikipedia, Wiktionary, Commons, etc.), stored as raw wide
parquet files: one row per article, one column per timestamp.
This is the complete derived output of the upstream pipeline —
the companion repo
jeremycochoy/wikimedia-pageview-timeseries
holds a sampled, reshaped version (3.7 M rows in HF long format
for training). Use this repo if you need the… See the full description on the dataset page: https://huggingface.co/datasets/jeremycochoy/wikimedia-pageview-timeseries-raw.africa-world-bank-economics-time-series
Africa World Bank Economics Labeled Time Series Data
This repository is part of the Africa Temporal Intelligence Corpus (ATIC). It contains sector-specific temporal corpus packages for African countries.
ATIC sector repositories are designed for machine consumption first: Parquet tables, stable IDs, reproducible metadata, explicit provenance, review status, and separable semantic layers.
Sector Scope
Temporal economic observations, proposed state labels, anomaly… See the full description on the dataset page: https://huggingface.co/datasets/africatic/africa-world-bank-economics-time-series.africa-world-bank-governance-public-sector-time-series
Africa World Bank Governance and Public Sector Labeled Time Series Data
This repository is part of the Africa Temporal Intelligence Corpus (ATIC). It contains sector-specific temporal corpus packages for African countries.
ATIC sector repositories are designed for machine consumption first: Parquet tables, stable IDs, reproducible metadata, explicit provenance, review status, and separable semantic layers.
Sector Scope
Temporal governance, fragility, conflict, and… See the full description on the dataset page: https://huggingface.co/datasets/africatic/africa-world-bank-governance-public-sector-time-series.africa-world-bank-climate-environment-time-series
Africa World Bank Climate and Environment Labeled Time Series Data
This repository is part of the Africa Temporal Intelligence Corpus (ATIC). It contains sector-specific temporal corpus packages for African countries.
ATIC sector repositories are designed for machine consumption first: Parquet tables, stable IDs, reproducible metadata, explicit provenance, review status, and separable semantic layers.
Sector Scope
Temporal climate and environmental indicators for… See the full description on the dataset page: https://huggingface.co/datasets/africatic/africa-world-bank-climate-environment-time-series.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.us-layoffs-monthly-time-series-warn-act
US layoffs, month by month — 455 months of WARN notices, 1988-11 → 2026-09, rebuilt daily
Last rebuilt: 2026-09-25. One row per calendar month: how many US WARN Act layoff
notices were filed, how many workers they named, and how many states contributed —
as a regular series with every month present (zeros included), ready for pandas,
a chart or a forecasting model. A second table gives the same series per state.
455
consecutive months, 1988-11 → 2026-09, no gaps… See the full description on the dataset page: https://huggingface.co/datasets/APProjects/us-layoffs-monthly-time-series-warn-act.timeseries-1m-QQQ-5yHigh_Dimensional_Time_Series
Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Dataset Details
Dataset Description
Curated by: [More Information Needed]
Funded by [optional]: [More Information Needed]
Shared by [optional]: [More Information Needed]
Language(s) (NLP): [More Information Needed]
License: [More Information Needed]
Dataset Sources [optional]
Repository: [More… See the full description on the dataset page: https://huggingface.co/datasets/Time-HD-Anonymous/High_Dimensional_Time_Series.africa-world-bank-energy-mining-time-series
Africa World Bank Energy and Mining Labeled Time Series Data
This repository is part of the Africa Temporal Intelligence Corpus (ATIC). It contains sector-specific temporal corpus packages for African countries.
ATIC sector repositories are designed for machine consumption first: Parquet tables, stable IDs, reproducible metadata, explicit provenance, review status, and separable semantic layers.
Sector Scope
Temporal energy indicators for African countries… See the full description on the dataset page: https://huggingface.co/datasets/africatic/africa-world-bank-energy-mining-time-series.africa-world-bank-agriculture-rural-time-series
Africa World Bank Agriculture and Rural Development Labeled Time Series Data
This repository is part of the Africa Temporal Intelligence Corpus (ATIC). It contains sector-specific temporal corpus packages for African countries.
ATIC sector repositories are designed for machine consumption first: Parquet tables, stable IDs, reproducible metadata, explicit provenance, review status, and separable semantic layers.
Sector Scope
Temporal agricultural indicators for… See the full description on the dataset page: https://huggingface.co/datasets/africatic/africa-world-bank-agriculture-rural-time-series.timeseries-daily-sp500africa-world-bank-health-population-time-series
Africa World Bank Health and Population Labeled Time Series Data
This repository is part of the Africa Temporal Intelligence Corpus (ATIC). It contains sector-specific temporal corpus packages for African countries.
ATIC sector repositories are designed for machine consumption first: Parquet tables, stable IDs, reproducible metadata, explicit provenance, review status, and separable semantic layers.
Sector Scope
Temporal health, nutrition, and population… See the full description on the dataset page: https://huggingface.co/datasets/africatic/africa-world-bank-health-population-time-series.NeuraxonLife2.5-100K-TimeSeries
NeuraxonLife2.5-100K-DeepTimeSeries: Artificial Life Neuraxon Neural Network Simulation Deep Time Series Dataset
Dataset Description
The NeuraxonLife 2.5 Deep Time Series Dataset is a massive, comprehensive collection of simulation data from the Neuraxon Game of Life environment. It tracks the evolution of over 100,000 autonomous agents ("NxErs") evolving biologically-plausible neural networks under survival pressures.
This dataset represents a significant expansion over… See the full description on the dataset page: https://huggingface.co/datasets/DavidVivancos/NeuraxonLife2.5-100K-TimeSeries.SP500-Financial-News-Articles-Time-SeriesTextual Time Series Dataset for finetuning / pretraining.
Json version of original dataset.
Original Dataset : https://www.kaggle.com/datasets/skywalker290/financial-news-article-and-stock-trend-dataset?select=stock_data_articles.csv
timeseries-QQQ-1d-25yrTime-Series-Library
Time-Series-Library (TSLib)
TSLib is an open-source library for deep learning researchers, especially for deep time series analysis.
We provide a neat code base to evaluate advanced deep time series models or develop your model, which covers five mainstream tasks: long- and short-term forecasting, imputation, anomaly detection, and classification.
This benchmark collection is designed to evaluate and develop advanced deep time-series models. For an in-depth exploration of… See the full description on the dataset page: https://huggingface.co/datasets/fluxae/Time-Series-Library.Time-Series-Library
Time-Series-Library (TSLib)
TSLib is an open-source library for deep learning researchers, especially for deep time series analysis.
We provide a neat code base to evaluate advanced deep time series models or develop your model, which covers five mainstream tasks: long- and short-term forecasting, imputation, anomaly detection, and classification.
This benchmark collection is designed to evaluate and develop advanced deep time-series models. For an in-depth exploration of current… See the full description on the dataset page: https://huggingface.co/datasets/Geenn2026/Time-Series-Library.controlled-anomalies-time-series-dataset
CATS — Controlled Anomalies Time Series (TsFile)
This dataset is a lossless conversion to the Apache TsFile
format of the HuggingFace dataset
patrickfleith/controlled-anomalies-time-series-dataset
(CATS), a multivariate time-series anomaly-detection benchmark.
Original dataset
Source dataset: patrickfleith/controlled-anomalies-time-series-dataset
Author: Patrick Fleith / Solenix Engineering GmbH
Cite: Patrick Fleith (2023). Controlled Anomalies Time Series (CATS)… See the full description on the dataset page: https://huggingface.co/datasets/THULab/controlled-anomalies-time-series-dataset.faang-engineered-time-series-features-2013-2025
FAANG Stocks Historical Raw and Engineered Time-Series Dataset (2013-2025)
Since this is a comprehensive ReadMe file with multiple sections and crosslinks to other documents and images, I wanted to start by providing a ToC with hyperlinks to simplify navigation for the readers. (special thanks to @csavur for this very helpful suggestion!)
DOCUMENT NAVIGATION GUIDE (ToC)
1 - Summary2 - Usage & Reproducability3 - Practical Uses of this Dataset
3.1 - A real-world ML… See the full description on the dataset page: https://huggingface.co/datasets/ML-Owl/faang-engineered-time-series-features-2013-2025.