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- ---
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- license: apache-2.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: apache-2.0
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+ task_categories:
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+ - image-to-text
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+ language:
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+ - en
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+ tags:
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+ - document
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+ - code
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+ - RAW-PDFs
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+ - ocr
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+ - pdf
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+ - text
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+ - doc
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+ - finance
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+ - docvl
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+ size_categories:
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+ - 1K<n<10K
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+ ---
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+
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+ # OpenDoc-Null-6K
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+
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+ The **OpenDoc-Null-6K** dataset is curated for tasks related to image-to-text recognition, particularly for scanned document images and OCR (Optical Character Recognition) use cases. It contains over 6,900 images in a structured `imagefolder` format suitable for training models on document parsing, PDF image understanding, and layout/text extraction tasks.
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+
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+ | **Attribute** | **Value** |
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+ |---------------|------------------------|
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+ | Task | Image-to-Text |
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+ | Modality | Image |
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+ | Format | ImageFolder |
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+ | Language | English |
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+ | License | Apache 2.0 |
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+ | Size | 1K - 10K samples |
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+ | Split | train (6,910 samples) |
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+
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+
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+ ### Key Features
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+
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+ * Contains **6.91k** training samples of document-style images.
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+ * Each sample is an **image**, with no associated text or label (raw OCR input).
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+ * Dataset is auto-converted to **Parquet** format by Hugging Face for efficient streaming and processing.
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+ * Suitable for OCR research, PDF document parsing, and code/text recognition tasks.
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+
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+ ## Usage
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+
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+ You can load the dataset using the Hugging Face `datasets` library:
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ dataset = load_dataset("prithivMLmods/OpenDoc-Null-6K")
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+ ```
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+
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+ ## File Size
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+
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+ * **Total download size**: \~2.72 GB
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+ * **Auto-converted Parquet size**: \~2.71 GB
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+
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+ ## License
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+
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+ This dataset is released under the [Apache 2.0 License](https://www.apache.org/licenses/LICENSE-2.0).