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Datasets:
HuggingFaceFW
/
ocr-annotations

Modalities:
Document
Text
Formats:
parquet
Languages:
English
Size:
1K - 10K
Libraries:
Datasets
Dask
Polars
License:
Dataset card Data Studio Files
xet
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PDF OCR Classification Dataset

This dataset contains PDF documents with annotations for OCR classification tasks.

Dataset Structure

Each row contains:

  • filename: Original PDF filename
  • pdf: PDF file as binary data (using Pdf feature type)
  • class: Binary classification label (OCR/NOCR)
  • truncation_type: Whether the PDF is truncated or non-truncated
  • pdf_size_bytes: Size of the PDF file in bytes

Class Distribution

class NOCR 1393 OCR 227

Usage 

from datasets import load_dataset

# Load the dataset
dataset = load_dataset("HuggingFaceFW/ocr-annotations")

# Access train split
train_data = dataset['train']

# Access a sample
sample = train_data[0]
pdf_bytes = sample['pdf']  # This will be bytes
label = sample['class']

License

Please check the original data source for licensing information.
Downloads last month
83
Total samples
: 1620
Classes
: OCR (requires OCR processing), NOCR (no OCR needed)
Total file size:
1.41 GB

Collection including HuggingFaceFW/ocr-annotations