Update README.md

README.md

@@ -11,4 +11,52 @@ tags:
 - code
 size_categories:
 - 1K<n<10K
----
+---
+
+# Openpdf-Analysis-Recognition
+
+The **Openpdf-Analysis-Recognition** 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.
+
+| **Attribute** | **Value**              |
+|---------------|------------------------|
+| Task          | Image-to-Text          |
+| Modality      | Image                  |
+| Format        | ImageFolder            |
+| Language      | English                |
+| License       | Apache 2.0             |
+| Size          | 1K - 10K samples       |
+| Split         | train (6,910 samples)  |
+
+
+### Key Features
+
+* Contains **6.91k** training samples of document-style images.
+* Each sample is an **image**, with no associated text or label (raw OCR input).
+* Dataset is auto-converted to **Parquet** format by Hugging Face for efficient streaming and processing.
+* Suitable for OCR research, PDF document parsing, and code/text recognition tasks.
+
+## Tags
+
+* pdf
+* ocr
+* document
+* code
+
+## Usage
+
+You can load the dataset using the Hugging Face `datasets` library:
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("prithivMLmods/Openpdf-Analysis-Recognition")
+```
+
+## File Size
+
+* **Total download size**: \~2.72 GB
+* **Auto-converted Parquet size**: \~2.71 GB
+
+## License
+
+This dataset is released under the [Apache 2.0 License](https://www.apache.org/licenses/LICENSE-2.0).