timeseries
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.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.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_PretrainGiftEvalMultimodal-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.time-series-dataset