CT-OCR-2022 dataset CT-OCR-2022 dataset contains optically scanned images for source paper document, 400 X-ray projections, 2687 CT-reconstructed cross-sections and segmentation markups for 6 model objects. Description of the data for each model object is presented in the table. Files Data description [package].proj_src/proj_s_.log X-ray measurement log file [package].proj_src/*.tif preprocessed projections before rotation axe correction [package].proj_norm/proj_s_.log X-ray measurement and geometry correction log file [package].proj_norm/*.tif preprocessed projections after rotation axe correction [package].rec_XXXX/metadata.json reconstruction metadata [package].rec_XXXX/*.tif CT-reconstructed volume, slices with size XXXX×XXXX [package].seg_XXXX/*.tif.seg.png segmentation markup [package].blank.png sample croped from pdf [package].scan.png sample croped from scanned image Due to the large amount of data, folders were packed into multi-volume zip-archives. Dataset published in Zenodo service in several linked repositories. Any questions, complaints, etc. can be directed to: polevoy@smartengines.com (Dmitry Polevoy) The article about this dataset is currently under review. When the article is published, the full reference will be added.