--- license: cc-by-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 - **image**: The input image (PIL Image) - **ground_truth**: The correct Odia text transcription - **category**: Type of text (handwritten, printed, scene_text, newspaper, books, digital) - **text_length**: short (1-3 words), medium (4-10 words), long (10+ words) - **source**: Original dataset source or "manual" ## Usage ```python from datasets import load_dataset dataset = load_dataset("Iftesha/odia-ocr-benchmark") # Access a sample sample = dataset["train"][0] 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 ## Notes - Includes long-text samples for paragraph-level OCR evaluation. - The `source` field records origin for each sample. ## License CC-BY-4.0