license:wtfpl region:us
    The OCR-IDL Dataset contains the OCR annotations of 26M pages of theIndustry Document Library (IDL).    It is specially intended to be used for text-layout self-supervised tasks such as Masked Language Modeling or Text De-noising.    However, we also include the url to the documents so that can be downloaded for image-text alignment tasks.
    @article{biten2022ocr,
      title         = {OCR-IDL: Ocr annotations for industry document library dataset},
      author        = {{Biten}, Ali Furkan and {Tito}, Ruben and {Gomez}, Lluis and {Valveny}, Ernest and {Karatzas}, Dimosthenis},
      journal       = {arXiv preprint arXiv:2202.12985},
      year          = 2022,
      eid           = {arXiv:2202.12985},
      pages         = {arXiv:2202.12985},
      archivePrefix = {arXiv},
      eprint        = {2202.12985},
    }
---
license: wtfpl
---

annotations_creators:
- machine-generated
language:
- en
language_creators: []
license:
- wtfpl
multilinguality:
- monolingual
pretty_name: OCR-IDL
size_categories:
- 10M<n<100M
source_datasets:
- original
tags:
- pretraining
- documents
- idl
- ''
task_categories: []
task_ids: []
