THULab/LOOP_SEATTLE
LOOP_SEATTLE (TsFile) Apache TsFile version of the LOOP_SEATTLE subset of GIFT-Eval. Overview GIFT-Eval is a benchmark for general time-series forecasting, covering 23 datasets (≈144,000 series and 177M data points) across seven domains, ten frequencies, and a range of forecast horizons. This repository contains a single subset of that benchmark. LOOP_SEATTLE — Loop-detector traffic data from the Seattle freeway network. The .tsfile files are organized by the… See the full description on the dataset page: https://huggingface.co/datasets/THULab/LOOP_SEATTLE.
LOOP_SEATTLE (TsFile)
Apache TsFile version of the `LOOP_SEATTLE` subset of GIFT-Eval.
Overview
GIFT-Eval is a benchmark for general time-series forecasting, covering 23 datasets (≈144,000 series and 177M data points) across seven domains, ten frequencies, and a range of forecast horizons. This repository contains a single subset of that benchmark.
`LOOP_SEATTLE` — Loop-detector traffic data from the Seattle freeway network.
The .tsfile files are organized by the original GIFT-Eval frequency under data/:
data/5T/: 65.tsfilefilesdata/D/: 1.tsfilefilesdata/H/: 3.tsfilefiles
Schema (TsFile structure)
- Time (INT64, milliseconds) — the timestamp of each observation.
- Each series is stored as a TsFile device; per-series identifiers from GIFT-Eval are carried as TAG columns, and the observed values are FIELD columns.
Usage
Read the .tsfile files with the Apache TsFile Java or Python SDK.
Source & license
- Original dataset: `Salesforce/GiftEval` — subset
LOOP_SEATTLE - Paper: GIFT-Eval (arXiv:2410.10393)
- Code: https://github.com/SalesforceAIResearch/gift-eval
- License: apache-2.0
If you use this data, please cite GIFT-Eval:
@article{aksu2024giftevalbenchmarkgeneraltime,
title={GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation},
author={Taha Aksu and Gerald Woo and Juncheng Liu and Xu Liu and Chenghao Liu and Silvio Savarese and Caiming Xiong and Doyen Sahoo},
journal={arXiv preprint arXiv:2410.10393},
year={2024}
}