Salesforce/GiftEval
收藏Hugging Face2025-01-21 更新2024-12-14 收录
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https://hf-mirror.com/datasets/Salesforce/GiftEval
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资源简介：
GIFT-Eval是一个旨在推动零样本时间序列预测的基准测试，通过促进跨多样化数据集的评估。该基准测试包含23个数据集，覆盖144,000个时间序列和1.77亿个数据点，数据涵盖七个领域、10种频率和一系列预测长度。该基准测试旨在设定新标准，指导时间序列基础模型的未来创新。为了有效预训练和评估基础模型，还提供了一个非泄露的预训练数据集GiftEvalPretrain。
We present GIFT-Eval, a benchmark designed to advance zero-shot time series forecasting by facilitating evaluation across diverse datasets. GIFT-Eval includes 23 datasets covering 144,000 time series and 177 million data points, with data spanning seven domains, 10 frequencies, and a range of forecast lengths. This benchmark aims to set a new standard, guiding future innovations in time series foundation models.
提供机构：
Salesforce
