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  - 1K<n<10K
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+ # Openpdf-MultiReceipt-1K
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+ **Openpdf-MultiReceipt-1K** is a dataset consisting of over 1,000 receipt documents in **PDF format**. This dataset is designed for use in image-to-text and document understanding tasks, particularly Optical Character Recognition (OCR), receipt parsing, and layout analysis.
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+ ## Notes
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+ * No text annotations or metadata are provided — only the raw PDFs.
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+ * Ideal for tasks requiring raw document inputs like PDF-to-Text pipelines.
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+ ## Dataset Summary
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+ * **Size:** 1,249 receipts
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+ * **Format:** PDF only (no extracted text)
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+ * **Split:**
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+ * `train`: 1.25k files
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+ * **Languages:** Primarily English and German
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+ * **License:** Apache 2.0
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+ ## How to Use
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+ You can load the dataset using the `datasets` library:
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+ ```python
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+ from datasets import load_dataset
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+ dataset = load_dataset("prithivMLmods/Openpdf-MultiReceipt-1K")
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+ ```
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+ Each entry in the dataset contains:
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+ ```json
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+ {
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+ "file": <PDF file object>
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+ }
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+ ```
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+ ## Use Cases
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+ * OCR model training
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+ * Document layout detection
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+ * Multi-lingual receipt understanding
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+ * Data extraction from scanned documents