Datasets:
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license: apache-2.0
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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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# OpenDoc-Null-6K
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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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| **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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### Key Features
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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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## Usage
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You can load the dataset using the Hugging Face `datasets` library:
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```python
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from datasets import load_dataset
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dataset = load_dataset("prithivMLmods/OpenDoc-Null-6K")
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```
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## File Size
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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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## License
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This dataset is released under the [Apache 2.0 License](https://www.apache.org/licenses/LICENSE-2.0).
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