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Openpdf-MultiReceipt-1K
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.
Notes
- No text annotations or metadata are provided — only the raw PDFs.
- Ideal for tasks requiring raw document inputs like PDF-to-Text pipelines.
Dataset Summary
Size: 1,249 receipts
Format: PDF only (no extracted text)
Split:
train: 1.25k files
Languages: Primarily English and German
License: Apache 2.0
How to Use
You can load the dataset using the datasets library:
from datasets import load_dataset
dataset = load_dataset("prithivMLmods/Openpdf-MultiReceipt-1K")
Each entry in the dataset contains:
{
"file": <PDF file object>
}
Use Cases
- OCR model training
- Document layout detection
- Multi-lingual receipt understanding
- Data extraction from scanned documents
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