GiftEval
- huggingface.co
Updated Jan 1, 2015+ more versions
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EmailClick 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.
GiftEvalPretrain
- huggingface.co
Updated Feb 29, 2016+ more versionsShareFacebookTwitterEmailClick to copy linkLink copiedCiteSalesforce (2016). GiftEvalPretrain [Dataset]. https://huggingface.co/datasets/Salesforce/GiftEvalPretrainCroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedFeb 29, 2016AuthorsSalesforceLicenseApache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automaticallyDescriptionGIFT-Eval Pre-training Datasets
Pretraining dataset aligned with GIFT-Eval that has 71 univariate and 17 multivariate datasets, spanning seven domains and 13 frequencies, totaling 4.5 million time series and 230 billion data points. Notably this collection of data has no leakage issue with the train/test split and can be used to pretrain foundation models that can be fairly evaluated on GIFT-Eval. 📄 Paper 🖥️ Code 📔 Blog Post 🏎️ Leader Board
Ethical Considerations… See the full description on the dataset page: https://huggingface.co/datasets/Salesforce/GiftEvalPretrain.
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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/Salesforce/GiftEval.