datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.time-series-datasettimeseries_datatimeseries-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.timeseries-daily-sp500timeseries-QQQ-1d-25yrtimeseries-1m-QQQ-10yTimeSeriesExam1
Dataset Card for TimeSeriesExam-1
This dataset provides Question-Answer (QA) pairs for the paper TimeSeriesExam: A Time Series Understanding Exam. Example inference code can be found here.
📖Introduction
Large Language Models (LLMs) have recently demonstrated a remarkable ability to model time series data. These capabilities can be partly explained if LLMs understand basic time series concepts. However, our knowledge of what these models understand about time series data… See the full description on the dataset page: https://huggingface.co/datasets/AutonLab/TimeSeriesExam1.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/lalababa/Time-Series-Library.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.time-series-benchmark
Four-Domain Real-World Forecasting Benchmark
Release r2026_10, schema 1.0, data version 2026-09-26.4, evaluator 0.5. What changed since
r2026_09 is listed under "Changes in r2026_10" below.
This is a small evaluation corpus for general-purpose time-series forecasting models.
It contains real observations in four domains: electricity load, road traffic, river
discharge and near-surface weather. There are 13 datasets, 1,049 entities, 23.0M rows
and 43.2M measurement slots (41.5M… See the full description on the dataset page: https://huggingface.co/datasets/alinurdin/time-series-benchmark.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… See the full description on the dataset page: https://huggingface.co/datasets/fluxae/Time-Series-Library.timeseries-1m-QQQ-5yTime-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/Leopegasus/Time-Series-Library.Timeseries-QA
Timeseries-QA
This is a dataset for Timeseries Instruction Tuning.
It was created using the following steps:
Extracted features from time series data in AutonLab/Timeseries-PILE
microsoft/Phi-3-medium-4k-instruct generated the QA pairs
Timeseries Instruction Tuning用のデータセットです。
以下の手順で作成しました。
AutonLab/Timeseries-PILE の時系列データの特徴を抽出
microsoft/Phi-3-medium-4k-instruct がQAを作成
Dataset Details
Dataset Description
Curated by: HachiMLLanguage(s) (NLP): English… See the full description on the dataset page: https://huggingface.co/datasets/HachiML/Timeseries-QA.timeseries-1mn-sp500timeseries-1m-QQQ-10yTime-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.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/zxyang7/Time-Series-Library.timeseries_trending_youtube_videos_2019-04-15_to_2020-04-15Timeseries Trending YouTube Videos: 2019-04-15 to 2020-04-15
This dataset is a csv of one of the archived historical database tables queried from my non public database that contains time series data for period of 2019-04-15 to 2020-04-15. Video data was captured from the time they first appeared on trending list, and TSD exists until the video is removed from trending list.
This snapshot contains data for the 11,369 videos that appeared on trending within the timeframe, with 1,541,128 records… See the full description on the dataset page: https://huggingface.co/datasets/jettisonthenet/timeseries_trending_youtube_videos_2019-04-15_to_2020-04-15.TimeSeriesDatatest
supernova-timeseries
Dataset Structure
Data Fields
object_id: unique object identifier
times_wv: 2D array of shape (N, 2) containing the observation times (modified Julian days, MJD) and filter (wavelength) for each observation, N=number of observations
target: 2D array of shape (N, 2) containing the flux (arbitrary units) and flux error for each observation
label: integer representing the class of the object
redshift: true redshift of the object
Data Splits
train
validation… See the full description on the dataset page: https://huggingface.co/datasets/BrachioLab/supernova-timeseries.timeseries-1mn-stocks
Dataset Card for "timeseries-1mn-stocks"
More Information needed
time_series_datasets
Tourism Monthly Time Series Dataset with Economic and Static Covariates
This dataset, originally sourced from Athanasopoulos et al. (2011), focuses on the tourism industry with a monthly frequency and has been enhanced with economic covariates (e.g., CPI, Inflation Rate, GDP) from official Australian government sources. We also perform some preprocessing to further increase the usability of the dataset with dynamic start dates for each series and static covariates for in-depth time… See the full description on the dataset page: https://huggingface.co/datasets/zaai-ai/time_series_datasets.ncdc_lassa_fever_timeseries
NCDC Lassa Fever Weekly Timeseries Dataset (Nigeria, 2020–2025)
Version: 1.0
Maintainer: Emmanuel Niyi-Oriolowo
License: CC BY 4.0
Last Updated: 01-12-2025
1. Overview
This repository provides a consolidated and standardized dataset of weekly Lassa fever surveillance data in Nigeria from 2020 to 2025. The dataset is derived from the Nigeria Centre for Disease Control (NCDC) Weekly Epidemiological Reports, which are published as PDF documents.
The primary objective of… See the full description on the dataset page: https://huggingface.co/datasets/EmanuelN/ncdc_lassa_fever_timeseries.time-series-foundation-models-papers
Time Series Foundation Models Papers — FineSet
A research-paper dataset on Time Series Foundation Models Papers, assembled, deduplicated, and quality-scored by
FineSet from arXiv and Semantic Scholar.
📸 This is a dated snapshot — generated 2026-06-19.
It is not auto-updated. Research on Time Series Foundation Models Papers moves fast — new papers land on arXiv every
week. Want this same dataset refreshed daily, on a topic you choose? See the bottom. ↓
Why this… See the full description on the dataset page: https://huggingface.co/datasets/fineset-io/time-series-foundation-models-papers.Time_Seriesbitcoin_price_timeseries
Bitcoin Price Time Series — 1-minute OHLCV (TsFile)
This dataset is a lossless conversion to the Apache TsFile
format of the HuggingFace dataset
Farmaanaa/bitcoin_price_timeseries:
minute-by-minute Bitcoin price and volume data.
Original dataset
Source dataset: Farmaanaa/bitcoin_price_timeseries
Preparation: data cleaned and prepared by farmaanaa.ir
License: CC-BY-4.0
Content: minute-by-minute Open / High / Low / Close / Volume for Bitcoin (BTC).… See the full description on the dataset page: https://huggingface.co/datasets/THULab/bitcoin_price_timeseries.evm-pv-ev-ac-bac-timeseries
EVM PV/EV/AC/BAC Time-Series (Synthetic)
This dataset contains synthetic Earned Value Management (EVM) project time-series records.
Files
evm_train.csv
evm_test.csv
Columns
IDs: project_id, project, project_type, period
Core EVM: BAC, PV, EV, AC
Variances: SV, CV
Indices: SPI, CPI
Forecasts: EAC, ETC, VAC
Use
Supports calculating SPI/CPI/EAC and training ML models for cost and schedule forecasting.