cloudaocr/clouda-ocr-canonical-v1

Clouda OCR canonical v1 The cleanup-approved training corpus contains 28,691 procedural synthetic pages with stable IDs, unchanged images and GT, source provenance, and hashes. Use manifests/train_approved.parquet and the three canonical_v1/shards/train_approved/train-*.tar shards. Each page has <id>.meta.json, <id>.gt.txt, and <id>.img.png members. The shards are deterministic and range from approximately 1.38 to 2.08 GB. manifests/sources.parquet, licenses.parquet… See the full description on the dataset page: https://huggingface.co/datasets/cloudaocr/clouda-ocr-canonical-v1.

<iframe src="https://silytics.si/embed/item/bd4f4d18-ca0c-4863-a514-8e56a0a083c5" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.