Datasetpublic

prithivMLmods/OpenDoc-Pdf-Preview

OpenDoc-Pdf-Preview OpenDoc-Pdf-Preview is a compact visual preview dataset containing 6,000 high-resolution document images extracted from PDFs. This dataset is designed for Image-to-Text tasks such as document OCR pretraining, layout understanding, and multimodal document analysis. Dataset Summary Modality: Image-to-Text Content Type: PDF-based document previews Number of Samples: 6,000 Language: English Format: Parquet Split: train only Size: 606 MB License:… See the full description on the dataset page: https://huggingface.co/datasets/prithivMLmods/OpenDoc-Pdf-Preview.

sourceHugging Faceapache-2.0updated 1y agoView on Hugging Face

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Dataset Card

OpenDoc-Pdf-Preview

OpenDoc-Pdf-Preview is a compact visual preview dataset containing 6,000 high-resolution document images extracted from PDFs. This dataset is designed for Image-to-Text tasks such as document OCR pretraining, layout understanding, and multimodal document analysis.

Dataset Summary

—Modality: Image-to-Text
—Content Type: PDF-based document previews
—Number of Samples: 6,000
—Language: English
—Format: Parquet
—Split: train only
—Size: 606 MB
—License: Apache 2.0

Each entry consists of:

—A preview image of a PDF page
—A placeholder column named pdf (currently appears empty or reserved for future metadata)

Use Cases

—Pretraining OCR or Document Layout models
—PDF snapshot-based search indexing
—Few-shot document vision evaluation
—Visual prompt tuning for vision-language models (VLMs)

How to Use

python

from datasets import load_dataset

dataset = load_dataset("prithivMLmods/OpenDoc-Pdf-Preview", split="train")

Notes

—The column pdf may be extended in future versions with associated metadata or textual content.
—Each sample preview is rendered from the original PDF file, representing various real-world layouts and formats.