docs(readme): apply the shared Fundusnap card template

The dataset is where anyone evaluating the models trained on it lands
first, yet it was the only release repo whose card omitted the migration
notice, so readers arriving from a model card got no signal that
fundusnap.com is gone. Moving the not-a-medical-device warning into the
section every other card uses keeps the disclaimer where readers already
look for it.

Claude-Session: https://claude.ai/code/session_013uo7ms8cae8CwmLgNii1vF

README.md

@@ -46,18 +46,67 @@ configs:
     path: scenarios.jsonl
 ---
 
+<div align="center">
+  <table border="1">
+    <tr>
+      <td align="center" style="padding: 20px;">
+        <h3>📢 Domain & Email Migration Notice</h3>
+        <p>From <b>May 30th, 2026</b>, Fundusnap will transition to new domains as <code>fundusnap.com</code> will not be renewed:</p>
+        <p>🌐 <b>Website:</b> <a href="https://fundusnap.faizath.com">fundusnap.faizath.com</a> (formerly <i>fundusnap.com</i>)<br>
+        ⚙️ <b>API:</b> <a href="https://fundusnap-api.faizath.com">fundusnap-api.faizath.com</a> (formerly <i>api.fundusnap.com</i>)<br>
+        📧 <b>Email:</b> <a href="mailto:contact@fundusnap.faizath.com">contact@fundusnap.faizath.com</a> (formerly <i>contact@fundusnap.com</i>)<br>
+        🛰️ <b>CDN:</b> <a>fundusnap-cdn.faizath.com</a> (formerly <i>cdn.fundusnap.com</i>)<br>
+        📈 <b>Status Pages:</b> <a href="https://status.faizath.com/status/fundusnap">https://status.faizath.com/status/fundusnap</a> (formerly <i>status.fundusnap.com</i>)
+        </p>
+      </td>
+    </tr>
+  </table>
+</div>
+
+<p align="center">
+  <img src="assets/logo.png" alt="Fundusnap" width="420"/>
+</p>
+
+<p align="center">
+  <b>Synthetic multi-turn consultations that teach a model to explain a diabetic retinopathy screening result — never to diagnose it.</b>
+</p>
+
+<p align="center">
+  🤗 <a href="https://huggingface.co/datasets/fundusnap/fundusnap-fundustalk-v1-chatsft-11k">Hugging Face</a> &nbsp;•&nbsp;
+  🐙 <a href="https://github.com/fundusnap/fundusnap-fundustalk-v1-chatsft-11k">GitHub</a>
+</p>
+
+<p align="center">
+  <img alt="Task: text generation" src="https://img.shields.io/badge/task-text--generation-5B9BD5"/>
+  <img alt="Conversations: 10,849" src="https://img.shields.io/badge/conversations-10%2C849-5B9BD5"/>
+  <img alt="Assistant turns: 39,288" src="https://img.shields.io/badge/assistant%20turns-39%2C288-5B9BD5"/>
+  <img alt="Teacher: phi-4" src="https://img.shields.io/badge/teacher-phi--4-5B9BD5"/>
+  <img alt="Languages: id, en" src="https://img.shields.io/badge/lang-id%20%7C%20en-5B9BD5"/>
+  <img alt="License: CC BY-NC 4.0" src="https://img.shields.io/badge/license-CC%20BY--NC%204.0-5B9BD5"/>
+</p>
+
 # FundusTalk v1 — Diabetic Retinopathy Chat SFT (11k)
 
 Synthetic multi-turn consultations for fine-tuning [`microsoft/MediPhi-Instruct`](https://huggingface.co/microsoft/MediPhi-Instruct)
 as **FundusAI**, the in-app assistant that explains diabetic-retinopathy screening results in the
 [Fundusnap](https://fundusnap.faizath.com) app.
 
-Distilled from [`microsoft/phi-4`](https://huggingface.co/microsoft/phi-4) via OpenRouter.
+Distilled from [`microsoft/phi-4`](https://huggingface.co/microsoft/phi-4) via OpenRouter. The model trained on it is
+[`fundusnap-v1-resultexp-clm-mediphi-3.8b-adapter`](https://huggingface.co/fundusnap/fundusnap-v1-resultexp-clm-mediphi-3.8b-adapter).
+
+## ⚠️ Intended use — not for clinical use
+
+**Synthetic data. Not a medical device.** No real patient data, images, or records were used — every
+prediction record is procedurally generated. Models trained on this dataset carry no regulatory
+clearance and must never be the sole basis for diagnosis, referral, or treatment.
 
-> ⚠️ **Synthetic data. Not a medical device.**
-> No real patient data, images, or records were used — every prediction record is procedurally
-> generated. Models trained on this dataset carry no regulatory clearance and must never be the sole
-> basis for diagnosis, referral, or treatment.
+**In scope.** Fine-tuning a small assistant to explain DR screening output to patients and
+health workers in Indonesian and English; research on grounding, refusal behaviour, and
+code-switching in medical dialogue; benchmarking safety behaviour on the `test` split.
+
+**Out of scope.** Any clinical decision-making. Training a model to grade severity or detect lesions
+— this dataset contains no images. Deployment without a clinician in the loop. Any commercial use
+(see [Provenance and licensing](#provenance-and-licensing)).
 
 ## At a glance
 
@@ -274,16 +323,6 @@ Taken from the Fundusnap model cards and enforced in the teacher prompt:
    weakest on the smallest, earliest lesions.
 6. The assistant explains; it never diagnoses, and always routes to a clinician.
 
-## Intended use
-
-**In scope.** Fine-tuning a small assistant to explain DR screening output to patients and
-health workers in Indonesian and English; research on grounding, refusal behaviour, and
-code-switching in medical dialogue; benchmarking safety behaviour on the `test` split.
-
-**Out of scope.** Any clinical decision-making. Training a model to grade severity or detect lesions
-— this dataset contains no images. Deployment without a clinician in the loop. Any commercial use
-(see licensing).
-
 ## Provenance and licensing
 
 Fully reproducible: the scenario plan (`scenarios.jsonl`) is seeded and deterministic; only the