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arobin79/bangla-ocr-validation_data_printed

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Hugging Face2026-04-19 更新2026-04-26 收录
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https://hf-mirror.com/datasets/arobin79/bangla-ocr-validation_data_printed
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--- language: - bn task_categories: - image-to-text tags: - ocr - bangla - document-understanding - vision-language --- # Bangla OCR Validation Dataset (Printed + Scanned) ## 📌 Description This dataset is a Bangla OCR validation dataset containing a mix of printed document images and their corresponding text annotations. It is designed to evaluate OCR and vision-language models on both clean digital text and scanned document images. ## 📊 Dataset Composition - 1507 **line-level images** with text annotations - 50 **full-page document images** with text - Data includes: - Printed/typed Bangla text (clean) - Scanned document images (noisy, real-world) ## 🧾 Features Each sample contains: - `image`: Input image (line or page) - `text`: Ground-truth Bangla transcription - `type`: Indicates data type (`line` or `page`) ## 🎯 Use Cases - Bangla OCR evaluation - Document understanding - Vision-language model validation - Robustness testing (clean vs scanned) ## 🚀 Usage ```python from datasets import load_dataset dataset = load_dataset("arobin79/bangla-ocr-validation_data_printed") sample = dataset["train"][0] print(sample["text"]) sample["image"].show()
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