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Summary<\/h1>In this study, 200 digital whole-slide images are published which were collected via hematoxylin-eosin stained colorectal biopsy. This dataset contains the raw MIRAX (mrxs) formatted data. The samples were selected from the archives of the 2nd Department of Pathology of Semmelweis University, Budapest and were scanned with a 3DHistech Pannoramic 1000 Digital Slide Scanner at the highest available, 40x magnification. This is a single center dataset ensuring consequent and homogeneous data processing and patient handling. The related publication shows, how these data can be utilized for training an artificial neural network in order to detect pathological conditions.

Acknowledgements<\/span><\/h3>

The research was financed by the Thematic Excellence Programme (T\u00e9mater\u00fcleti Kiv\u00e1l\u00f3s\u00e1gi Program, 2020-4.1.1.-TKP2020) of the Ministry for Innovation and Technology in Hungary, within the framework of the DigitalBiomarker thematic programme of the Semmelweis University. This work was supported by the National Research, Development and Innovation Office of Hungary grants OTKA 128881 and K128780, the National Quantum Technologies Program and the Hungarian Artificial Intelligence National Laboratory.<\/p>

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