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prithivMLmods/Openpdf-Analysis-Recognition

Openpdf-Analysis-Recognition The Openpdf-Analysis-Recognition dataset is curated for tasks related to image-to-text recognition, particularly for scanned document images and OCR (Optical Character Recognition) use cases. It contains over 6,900 images in a structured imagefolder format suitable for training models on document parsing, PDF image understanding, and layout/text extraction tasks. Attribute Value Task Image-to-Text Modality Image Format ImageFolder… See the full description on the dataset page: https://huggingface.co/datasets/prithivMLmods/Openpdf-Analysis-Recognition.

sourceHugging Faceapache-2.0updated 1y agoView on Hugging Face
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Dataset Card

Openpdf-Analysis-Recognition

The Openpdf-Analysis-Recognition dataset is curated for tasks related to image-to-text recognition, particularly for scanned document images and OCR (Optical Character Recognition) use cases. It contains over 6,900 images in a structured imagefolder format suitable for training models on document parsing, PDF image understanding, and layout/text extraction tasks.

**Attribute****Value**
TaskImage-to-Text
ModalityImage
FormatImageFolder
LanguageEnglish
LicenseApache 2.0
Size1K - 10K samples
Splittrain (6,910 samples)

Key Features

  • —Contains 6.91k training samples of document-style images.
  • —Each sample is an image, with no associated text or label (raw OCR input).
  • —Dataset is auto-converted to Parquet format by Hugging Face for efficient streaming and processing.
  • —Suitable for OCR research, PDF document parsing, and code/text recognition tasks.

Usage

You can load the dataset using the Hugging Face datasets library:

python
from datasets import load_dataset

dataset = load_dataset("prithivMLmods/Openpdf-Analysis-Recognition")

File Size

  • —Total download size: \~2.72 GB
  • —Auto-converted Parquet size: \~2.71 GB

License

This dataset is released under the Apache 2.0 License.