metadata

license: apache-2.0
task_categories:
  - image-to-text
language:
  - en
tags:
  - pdf
  - ocr
  - document
  - code
size_categories:
  - 1K<n<10K

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
Language	English
License	Apache 2.0
Size	1K - 10K samples
Split	train (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:

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.