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--- |
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license: apache-2.0 |
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task_categories: |
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- image-to-text |
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language: |
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- en |
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- de |
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tags: |
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- pdf |
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- receipt |
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- 1000+ |
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- image |
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- document |
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size_categories: |
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- 1K<n<10K |
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--- |
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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 |
