AnonymousGM/MultiSetTransformerData

Permissive or share-alike

The declared licence (mit) is classified as permissive.

Licence facts reported by the dataset and its declared sources. Not legal advice, and not a grant of permission to use the dataset.

Evidence

• Declared licence: mit (from the tag)
• Licence files: no licence file at the top level of the repository
• Access gated on Hugging Face: no

Declared sources

No source datasets listed in the card metadata.

Signal

See all datasets marked Permissive or share-alike.

Citation text from the card

@INPROCEEDINGS{MultiSetSR,
author="Morales, Giorgio
and Sheppard, John W.",
editor="Bifet, Albert
and Daniu{\v{s}}is, Povilas
and Davis, Jesse
and Krilavi{\v{c}}ius, Tomas
and Kull, Meelis
and Ntoutsi, Eirini
and Puolam{\"a}ki, Kai
and {\v{Z}}liobait{\.{e}}, Indr{\.{e}}",
title="Univariate Skeleton Prediction in Multivariate Systems Using Transformers",
booktitle="Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track",
year="2024",
publisher="Springer Nature Switzerland",
address="Cham",
pages="107--125",
isbn="978-3-031-70371-3"
}

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View AnonymousGM/MultiSetTransformerData on Hugging Face | JSON