prithivMLmods/Openpdf-MultiReceipt-1K
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… See the full description on the dataset page: https://huggingface.co/datasets/prithivMLmods/Openpdf-MultiReceipt-1K.
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
