| --- |
| license: cc-by-nc-sa-4.0 |
| task_categories: |
| - image-to-text |
| language: |
| - or |
| tags: |
| - ocr |
| - odia |
| - oriya |
| - indic |
| - benchmark |
| size_categories: |
| - n<1K |
| --- |
| |
| # Odia OCR Benchmark Dataset |
|
|
| ## Description |
|
|
| A curated benchmark dataset for evaluating OCR models on Odia (Oriya) text recognition. |
| Contains handwritten, printed, scene text, newspaper, books, and digital categories, |
| including both short samples and long-text examples for OCR evaluation. |
|
|
| ## Dataset Structure |
|
|
| - **id**: Unique identifier for each sample |
| - **image**: The input image (PIL Image) |
| - **ground_truth**: The correct Odia text transcription |
| - **category**: Type of text (handwritten, printed, scene_text, newspaper, books, digital) |
| |
| |
| |
| ## Usage |
| |
| ```python |
| from datasets import load_dataset |
| |
| dataset = load_dataset("OdiaGenAIOCR/odia_ocr_benchmark_data") |
| |
| # Access a sample |
| sample = dataset["train"][0] |
| sample_id = sample["id"] |
| image = sample["image"] |
| text = sample["ground_truth"] |
| ``` |
| |
| ## Categories |
| |
| | Category | Description | |
| | ------------- | ----------------------------------------------------- | |
| | handwritten | Handwritten Odia text (word/short phrase level) | |
| | printed | Printed/typed Odia text | |
| | scene_text | Text in natural scenes (signboards, posters, etc.) | |
| | newspaper | Odia newspaper clippings (including long text) | |
| | books | Scanned Odia book pages (including long text) | |
| | digital | Screenshots from Odia digital content | |
| |
| ## Sources |
| |
| - `OdiaGenAIOCR/odia-ocr-merged` (handwritten) |
| - `darknight054/indic-mozhi-ocr` with config `oriya` (printed) |
| - `darknight054/indicstr12-crops` with config `odia` (scene_text) |
| - `newspaper`: Odia newspaper scans/clippings |
| - `books`: Odia book page images |
| - `digital`: odia digital content |
| |
| ## Citation |
| |
| If you find this repository useful, please consider giving 👏 and citing: |
| |
| ```bibtex |
| @misc{odia_lipi_ocr_2026, |
| author = { |
| Iftesha Najnin |
| Sk Shahid |
| Shantipriya Parida |
| }, |
| title = {Odia Lipi: An Open-Source OCR Dataset for the Odia Language}, |
| year = {2026}, |
| publisher = {Hugging Face}, |
| journal = {Hugging Face Datasets}, |
| howpublished = {\url{https://huggingface.co/OdiaGenAI}}, |
| } |
| ``` |
| |
| ## Notes |
| |
| - Includes long-text samples for paragraph-level OCR evaluation. |
| - The `source` field records origin for each sample. |
| |
| ## License |
| |
| This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. |
| |
