upanzi/Fidel-synthetic

Fidel: A Large-Scale Sentence Level Amharic OCR Dataset

Overview

Fidel is a comprehensive dataset for Amharic Optical Character Recognition (OCR) at the sentence level. It contains a diverse collection of Amharic text images spanning handwritten, typed, and synthetic sources. This dataset aims to advance language technology for Amharic, serving critical applications such as digital ID initiatives, document digitization, and automated form processing in Ethiopia.

Citation

If you use the Fidel: A Large-Scale Sentence Level Amharic OCR Dataset in your work, please cite the associated pre-print using the following BibTeX entry:

@article{Fidel2025,
  author = {Chamisso, Tunga Tessema and Guda, Blessed and Adego, Bereket Retta and Sagbo, Carmel Prosper and Ashungafac, Gabrial Zencha and Gueye, Assane},
  title = {{Fidel: A Large-Scale Sentence Level Amharic OCR Dataset}},
  journal = {Research Square},
  year = {2025},
  doi = {10.21203/rs.3.rs-8118465/v1},
  url = {[https://doi.org/10.21203/rs.3.rs-8118465/v1](https://doi.org/10.21203/rs.3.rs-8118465/v1)}
}

Dataset Statistics

By Source Type

• Synthetic: 297,810 samples

License

This dataset is released under: MIT License

Acknowledgments

We thank all contributors who provided handwritten samples and the organizations that supported this data collection effort.