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README.md

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 title: README
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-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+<p align="center">
+  <img src="https://huggingface.co/spaces/Netra-Lab/README/resolve/main/assets/header.png" width="260" alt="Netra Lab" />
+</p>
+
+**Make Khmer a first-class language for AI.** Netra Lab is an independent, non-commercial research lab. We build
+small open models, datasets and tools for Khmer, sized for the devices people already own, and publish the code,
+weights and data so no one working on Khmer has to start from zero.
+
+Every model here ships as ONNX with a pip package that runs it on a CPU, without PyTorch.
+
+**Models**
+
+| Model | What it does | Use it |
+| --- | --- | --- |
+| [Netra OCR](https://huggingface.co/Netra-Lab/Netra-OCR) | Khmer and English OCR: text-line detection and a 19M-parameter line recognizer | [`pip install netra-ocr`](https://pypi.org/project/netra-ocr/) · [GitHub](https://github.com/netra-ai-lab/Netra-OCR) |
+| [Netra NMT](https://huggingface.co/Netra-Lab/Netra-NMT) | English↔Khmer translation, 77M parameters, both directions in one model | [`pip install netra-nmt`](https://pypi.org/project/netra-nmt/) · [GitHub](https://github.com/netra-ai-lab/Netra-NMT) · [Demo](https://huggingface.co/spaces/Darayut/Netra-NMT) |
+
+**Datasets**
+
+| Dataset | Contents |
+| --- | --- |
+| [bilingual-en-km](https://huggingface.co/datasets/Netra-Lab/bilingual-en-km) | 4.26M English↔Khmer translation examples, both directions: Netra NMT's training corpus |
+| [khmer-english-pairs-raw](https://huggingface.co/datasets/Netra-Lab/khmer-english-pairs-raw) | 200K synthetic Khmer-English sentence pairs (legal, literary, governmental), MIT |
+| [khob-eval](https://huggingface.co/datasets/Netra-Lab/khob-eval) | 325 Khmer text lines from scanned government documents: an OCR test set |
+| [khmer-printed-words](https://huggingface.co/datasets/Netra-Lab/khmer-printed-words) | 5,000 images of short Khmer words in 10 fonts: an OCR test set for short input |
+| [khmer-document-synthetic-low-res](https://huggingface.co/datasets/Netra-Lab/khmer-document-synthetic-low-res) | 100,000 synthetic Khmer document text-line images with their text |
+| [khmer-scene-text-synthetic-contrast](https://huggingface.co/datasets/Netra-Lab/khmer-scene-text-synthetic-contrast) | 102,500 synthetic Khmer scene-text images with their text |
+
+Code, training recipes and results: [github.com/netra-ai-lab](https://github.com/netra-ai-lab).