AlexandreSheva/rukopys-curated-mvp

RUKOPYS Curated MVP

Curated derivative of UkrainianCatholicUniversity/rukopys for Ukrainian handwriting recognition training.

Contents

• metadata.jsonl: normalized page records.
• regions.jsonl: one row per region.
• vlm_sft.jsonl: crop-level transcription examples.
• page_sft.jsonl: full-page image to structured JSON examples.
• yolo/: YOLO-format layout detection dataset.
• crops/: region crops for transcription fine-tuning, if exported.
• _pack_manifest.json: tar-shard manifest when the dataset is uploaded in packed form.

Use rukopys download-curated to download and automatically unpack tar shards.

Stats

• Pages: 2715
• Regions: 39420
• Crop SFT examples: 38832
• Page SFT examples: 2330

Sources

• archive: 178
• dictation: 509
• school: 1782
• university: 246

Region Types

• annotation: 1145
• formula: 6174
• graph: 61
• handwritten: 31193
• image: 130
• printed: 477
• table: 240

Notes

Quality weights are assigned by annotation source:

• annotator: 1.0
• volunteer: 0.75
• auto: 0.35

Source Dataset

This dataset is derived from UkrainianCatholicUniversity/rukopys.

@dataset{rukopys_2026,
  title        = {RUKOPYS}: Ukrainian Handwritten Text Recognition Dataset,
  author       = {Dmytro Voitekh and Volodymyr Zmiivskyyi and Oleksii Molchanovskyi},
  organization = {Ukrainian Catholic University},
  year         = {2026},
  license      = {CC BY-NC-SA 4.0},
  url          = {https://huggingface.co/datasets/UkrainianCatholicUniversity/rukopys},
  note         = {First large-scale Ukrainian HTR dataset; from 1920s archival documents to 2025 school homework and exams}
}