| | --- |
| | license: apache-2.0 |
| | task_categories: |
| | - image-to-text |
| | language: |
| | - en |
| | tags: |
| | - image |
| | - text |
| | - document |
| | - pdf |
| | 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. |
