- h
GiftEval
- huggingface.co
Updated May 11, 2025
Share
Facebook
Twitter
EmailClick to copy linkLink copiedCiteLiam Shi Bin Hoo (2025). GiftEval [Dataset]. https://huggingface.co/datasets/liamsbhoo/GiftEvalDataset updatedMay 11, 2025AuthorsLiam Shi Bin HooLicenseApache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automaticallyDescriptionGIFT-Eval
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. To facilitate the effective pretraining and evaluation of… See the full description on the dataset page: https://huggingface.co/datasets/liamsbhoo/GiftEval.
GiftEval
- huggingface.co
Updated Jan 1, 2015ShareFacebookTwitterEmailClick to copy linkLink copiedCiteSalesforce (2015). GiftEval [Dataset]. https://huggingface.co/datasets/Salesforce/GiftEvalCroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedJan 1, 2015AuthorsSalesforceLicenseApache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automaticallyDescriptionGIFT-Eval
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. To facilitate the effective pretraining and evaluation of… See the full description on the dataset page: https://huggingface.co/datasets/Salesforce/GiftEval.
Not seeing a result you expected?
Learn how you can add new datasets to our index.
FacebookTwitterEmailApache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically
GIFT-Eval
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. To facilitate the effective pretraining and evaluation of… See the full description on the dataset page: https://huggingface.co/datasets/liamsbhoo/GiftEval.