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  - document
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  - 1K<n<10K
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  size_categories:
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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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+
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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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+
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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.