add credit to khob benchmark dataset

README.md

@@ -21,3 +21,118 @@ configs:
   - split: train
     path: data/train-*
 ---
+
+
+# KHOB‑LEVEL2 (Scene Text OCR Subset)
+
+## Important Attribution (Full Credit)
+
+This dataset is a cropped/simplified subset of Level 2: Scene Text Images from the original open‑source project:
+
+Khmer OCR Benchmark Dataset — created and maintained by EKYC Solutions and collaborators.
+
+- Original GitHub repository: https://github.com/EKYCSolutions/khmer-ocr-benchmark-dataset?tab=readme-ov-file
+- Official full dataset download (Google Drive): https://drive.google.com/drive/folders/1YczKEIha64Qpjk9Wsbp0-r7PFoYrgvga
+
+All credit goes to EKYC Solutions and the original authors. This Hugging Face version is only shared as a convenient subset for quick OCR testing.
+
+---
+
+## Background
+
+In Cambodia, Khmer Optical Character Recognition (OCR) is an active area of AI development. However, evaluating Khmer OCR engines is difficult because:
+
+1. Many OCR systems benchmark only on internal datasets (biased results).
+2. Some benchmarks rely on synthetic computer‑generated datasets, which do not reflect real‑world images.
+
+The Khmer OCR Benchmark Dataset addresses this by providing a standardized benchmark with increasing difficulty levels.
+
+---
+
+## Dataset Description
+
+This subset is derived from:
+
+### Level 2: Scene Text Images
+
+Level 2 focuses on Khmer printed text appearing in real‑world scenes. Images were captured using mobile devices (e.g., iPhone 13) and include:
+
+- Curved Khmer printed text
+- Occlusions and noise
+- Reflections
+- Varied lighting (bright and low light)
+- Real‑world backgrounds
+
+### What does Level 2 evaluate?
+
+OCR models that perform well here can recognize Khmer printed text in uncontrolled real‑world environments.
+
+---
+
+## Dataset Format
+
+This subset is provided in a simple structure that maps each cropped image to a single text label.
+
+| Column      | Description                                   |
+|-------------|-----------------------------------------------|
+| `image`     | Scene text image (Level 2 subset)             |
+| `text`      | Ground‑truth transcription                     |
+| `file_name` | Original image filename                        |
+| `id`        | Unique identifier                              |
+
+Example entry:
+
+```json
+{
+  "image": "LS_10_img_01.png",
+  "text": "ហាមចោលសំរាម"
+}
+```
+
+---
+
+## Usage Example
+
+```python
+from datasets import load_dataset
+
+# Replace with your dataset repo ID on Hugging Face
+ds = load_dataset("SoyVitou/KHOB-LEVEL2")
+
+print(ds["train"][0])
+```
+
+---
+
+## Original Source & License
+
+This subset is released in the same open‑source spirit as the original benchmark. For the complete dataset, license details, and full acknowledgments, please refer to the official repository:
+
+- https://github.com/EKYCSolutions/khmer-ocr-benchmark-dataset
+
+---
+
+## Acknowledgment
+
+This benchmark dataset was initiated in collaboration with institutions in Cambodia, including:
+
+- EKYC Solutions
+- Prudential Life Assurance PLC
+- Paragon International University
+
+We are grateful for their contribution to improving Khmer OCR research.
+
+Note: This Hugging Face dataset is only a small cropped subset for convenience. For serious benchmarking, please download and use the complete dataset from the original authors.
+
+---
+
+## Next Steps
+
+If helpful, we can extend this dataset card with:
+
+- A BibTeX citation
+- Additional tags (e.g., `ocr`, `scene-text`, `khmer`)
+- Train/test split description and data curation notes
+
+
+