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MolClassifier Training and Validation Datasets

<div> <div>The dataset contains 18626 chemical images (15720 for training and 2906 for validation) with annotated classes: `Molecular Structure`, `Markush Structure` and `Background`.&nbsp; <div> <div>Selected chemical images are randomly selected from the outputs of a segmentation module applied to documents from the United States Patent and Trademark Office.</div> <div>This dataset is part of&nbsp;<a href="https://github.com/DS4SD/PatCID">PatCID: an open-access dataset of chemical structures in patent documents</a>.</div> </div> </div> </div>

ShareScore

28/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
8
Reuse readiness
8
Engagement
0

Topics

Dataset details

Repository
zenodo
Published
May 16, 2024
License
cdla-sharing-1.0
DOI
10.5281/zenodo.10978563

Scored with release 0.9.0

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