Datasets:
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---
license: apache-2.0
task_categories:
- image-to-text
language:
- en
tags:
- image
- pdf
- document
- text
size_categories:
- 1K<n<10K
---
# **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](https://www.apache.org/licenses/LICENSE-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. |