Datasets:
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# **OpenDoc-Pdf-Preview**
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**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.
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## Dataset Summary
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* **Modality:** Image-to-Text
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* **Content Type:** PDF-based document previews
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* **Number of Samples:** 6,000
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* **Language:** English
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* **Format:** Parquet
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* **Split:** `train` only
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* **Size:** 606 MB
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* **License:** [Apache 2.0](https://www.apache.org/licenses/LICENSE-2.0)
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Each entry consists of:
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* A **preview image** of a PDF page
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* A placeholder column named `pdf` (currently appears empty or reserved for future metadata)
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## Use Cases
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* Pretraining OCR or Document Layout models
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* PDF snapshot-based search indexing
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* Few-shot document vision evaluation
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* Visual prompt tuning for vision-language models (VLMs)
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## How to Use
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```python
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from datasets import load_dataset
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dataset = load_dataset("prithivMLmods/OpenDoc-Pdf-Preview", split="train")
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```
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## Notes
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* The column `pdf` may be extended in future versions with associated metadata or textual content.
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* Each sample preview is rendered from the original PDF file, representing various real-world layouts and formats.
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