datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
timeseries-1m-QQQ-5ytimeseries-QQQ-1d-25yrtimeseries_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
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.drc_zones_timeseries-zonalncdc_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-Instruct-V1
Time Series Instruct
Синтетический датасет временных рядов с текстовыми описаниями паттернов
Synthetic dataset of time series with textual pattern descriptions
Описание / Description
Time Series Instruct — это крупный синтетический датасет, содержащий 500 000 уникальных временных рядов длиной ровно 50 точек каждый, с подробными текстовыми описаниями их паттернов.
Time Series Instruct is a large synthetic dataset containing 500,000 unique time series of exactly 50… See the full description on the dataset page: https://huggingface.co/datasets/Kostya165/Time-Series-Instruct-V1.Time-Series-Donations
Time-Series Donations Dataset
Overview
This repository provides a time-series dataset of donation dynamics over time.It is intended for experiments in:
Time-series forecasting
Trend and seasonality analysis
Anomaly detection on donation flows
Benchmarking classical and deep time-series models
The data are organized in a tabular time-series format, with each row representing a time step and each column representing a numerical or categorical feature related to donations.… See the full description on the dataset page: https://huggingface.co/datasets/VillanovaAI/Time-Series-Donations.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.
time_series_dataset_residuals
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_dataset_residuals.onion_timeseries_datatimeseries_max1000_len10_sample100000_split0.8Time-Series-Toolkittime-series-ratingThis is the dataset used in the paper TSRating: Selecting High-Quality Time Series Data by Prompting LLMs
The datasets used in this project have been integrated from various sources for convenience. These datasets are not original to this project but are included to facilitate usage. If you wish to cite them, please refer to the corresponding sources listed in the paper.
license: apache-2.0