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foundry-ml/dataset_exfoliatione

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Unclear

The checks could not identify a recognised licence ID in the dataset's metadata.

Declared licence
other, from the tagEvidence: README.md at e4b78e8
Licence files
No licence file at the top level of the repositoryEvidence: file list at e4b78e8
Declared sources
None listed in the card metadata
Access gated on Hugging Face
No
Each cell links to what was checked: a file, a file list or a Hub record.

Tasks

Citation text from the card

@misc{https://doi.org/10.18126/yx4h-ny59
doi = {10.18126/yx4h-ny59}
url = {https://doi.org/10.18126/yx4h-ny59}
author = {Choudhary, Kamal and Garrity, Kevin F. and Reid, Andrew C. E. and DeCost, Brian and Biacchi, Adam J. and Walker, Angela R. Hight and Trautt, Zachary and Hattrick-Simpers, Jason and Kusne, A. Gilad and Centrone, Andrea and Davydov, Albert and Jiang, Jie and Pachter, Ruth and Cheon, Gowoon and Reed, Evan and Agrawal, Ankit and Qian, Xiaofeng and Sharma, Vinit and Zhuang, Houlong and Kalinin, Sergei V. and Sumpter, Bobby G. and Pilania, Ghanshyam and Acar, Pinar and Mandal, Subhasish and Haule, Kristjan and Vanderbilt, David and Rabe, Karin and Tavazza, Francesca}
title = {The joint automated repository for various integrated simulations (JARVIS) for data-driven materials design}
keywords = {machine learning, foundry}
publisher = {Materials Data Facility}
year = {root=2020}}

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dataset_licence({ "id": "foundry-ml/dataset_exfoliatione" })
signal: "unclear"
stated_licence: "other"
sources: 0