Org card: evergreen redesign (no model or dataset lists)

README.md

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-<img src="https://huggingface.co/spaces/Netra-Lab/README/resolve/main/assets/hero.png" width="100%" alt="Netra Lab. Open AI for the Khmer language, built in the open. Netra Lab is an independent, non-commercial research lab. We build small open models, datasets and tools for Khmer, and publish the code, weights and a full write-up for each one, free." />
+<p align="center">
+  <img src="https://huggingface.co/spaces/Netra-Lab/README/resolve/main/assets/header.png" width="260" alt="Netra Lab" />
+</p>
+
+<p align="center"><b>Open AI for the Khmer language, built in the open.</b></p>
 
 <p align="center">
   <a href="https://netra-lab.netlify.app/"><b>Website</b></a> ·
   <a href="https://netra-lab.netlify.app/research"><b>Research</b></a> ·
-  <a href="https://netra-lab.netlify.app/playground"><b>Playground</b></a> ·
-  <a href="https://github.com/netra-ai-lab"><b>GitHub</b></a>
+  <a href="https://github.com/netra-ai-lab"><b>GitHub</b></a> ·
+  <a href="https://netra-lab.netlify.app/contact"><b>Get involved</b></a>
 </p>
 
-## Latest research
-
-<a href="https://netra-lab.netlify.app/research"><img src="https://huggingface.co/spaces/Netra-Lab/README/resolve/main/assets/research.png" width="100%" alt="Four research papers. Sota (Oct 25, 2026): Khmer and English speech recognition, pruned to a fifth of its size; 73M / 204M parameters, 1.77% CER, Apache-2.0. Netra OCR 1 (Jul 25, 2026): a 17M-parameter model for reading printed Khmer and English text; 1.3M training images, MIT. Netra MT 1 (Jul 11, 2026): a compact bidirectional encoder-decoder transformer for English–Khmer translation; 77M parameters, 220M training tokens, MIT. AkaraAlpha (Jun 15, 2026): a small model that turns romanized Khmer into Khmer script; 78.7K parameters, 15.07% CER, MIT." /></a>
+<hr>
 
-Read the write-ups: [Sota](https://netra-lab.netlify.app/research/sota) · [Netra OCR 1](https://netra-lab.netlify.app/research/netra-ocr) · [Netra MT 1](https://netra-lab.netlify.app/research/netra-mt) · [AkaraAlpha](https://netra-lab.netlify.app/research/akara-alpha)
+Netra Lab is an independent, non-commercial research lab. We build small open models, datasets and tools for Khmer,
+and publish the code, weights, data and a full write-up for each one, free.
 
-## Open releases
+More than 16 million people speak Khmer, yet most AI still treats it as an afterthought: there is little public data
+to train on, and tools built for English stumble on a script where consonants stack and words run together without
+spaces. Our goal is to make Khmer a first-class language for AI.
 
-Small open models for Khmer, sized to run on an ordinary laptop, with the weights free to download and fine-tune.
+## What we work on
 
-| Model | Task | Get it |
-| --- | --- | --- |
-| [**Netra OCR**](https://huggingface.co/Netra-Lab/Netra-OCR) | Printed Khmer and English text: line detection and recognition | [`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, both directions in one 77M 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) |
-| **Sota** | Khmer and English speech recognition | [sota-large](https://huggingface.co/Darayut/sota-large) · [sota-base](https://huggingface.co/Darayut/sota-base) · [GitHub](https://github.com/netra-ai-lab/SOTA) |
-| **AkaraAlpha** | Romanized Khmer to Khmer script | [GitHub](https://github.com/netra-ai-lab/Romanized-Khmer-to-Khmer-Transliteration) |
+- **Models:** small open models for Khmer, sized to run on an ordinary laptop, with the weights free to download and fine-tune.
+- **Datasets:** the Khmer data we build to train and test them, published so the next project doesn't have to start from zero.
+- **Benchmarks:** test sets and scores that show where each model stands against the strongest alternative, including where it falls short.
+- **Tools:** apps that put the models to work on your own computer, offline, with no account and nothing uploaded.
 
-The Khmer data we build to train and test them, published so the next project doesn't have to start from zero.
-
-| Dataset | Contents |
-| --- | --- |
-| [bilingual-en-km](https://huggingface.co/datasets/Netra-Lab/bilingual-en-km) | 4.26M English↔Khmer translation examples: 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) |
-| [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 |
-
-<img src="https://huggingface.co/spaces/Netra-Lab/README/resolve/main/assets/band.png" width="100%" alt="More than 16 million people speak Khmer. Most AI still treats it as an afterthought. There's little public data to train on, and tools built for English stumble on a script where consonants stack and words run together without spaces. Make Khmer a first-class language for AI: we build the models and test sets Khmer speakers need, sized for the devices they already own, and publish all of it so no one working on Khmer has to start from zero." />
+Our models and datasets are listed below. Each card links to its code, write-up and demo.
 
 ## How we work
 
-- **Free and open.** Every model, dataset and line of code is open source, under licenses that allow commercial use. No account, API key or credit card needed.
-- **Khmer first.** Every model is designed around how Khmer is written and spoken: consonants stack, vowels attach around them, and words run together without spaces.
-- **Honest about what works.** Each release ships with a written report and its test data, failures included, so you can check the numbers yourself.
-- **Runs on edge devices.** Models are sized for an ordinary laptop or phone.
-- **Built to be built on.** The goal is a healthier Khmer AI ecosystem, not a moat. If someone trains something better on top of this work, that's the point.
-
-<p align="center"><sub>Netra Lab is independent and non-commercial · <a href="https://netra-lab.netlify.app/about">About the lab</a> · <a href="https://netra-lab.netlify.app/contact">Get involved</a></sub></p>
+- **Free and open.** Code, weights and data are released under licenses that allow commercial use, changes and redistribution.
+- **Khmer first.** Every model is designed around how Khmer is actually written and spoken.
+- **Honest about what works.** Every release ships with a report and its test data, failures included, so you can check the numbers yourself.
+- **Runs on edge devices.** Models are sized for the laptops and phones people already own.
+- **Built to be built on.** If someone trains something better on top of this work, that's the point.