Update README.md

README.md

@@ -8,4 +8,44 @@ tags:
 - benchmark
 - QA testing
 - tap-accuracy
----
+---
+
+# 📝 Summary & Intention
+**UI-TapBench** is an open-source benchmark created to evaluate the spatial precision of Large Multimodal Models (LMMs) in mobile environments. 
+
+As AI agents move toward "Actionable AI," the ability to translate a natural language instruction into exact screen coordinates is the most common point of failure. This dataset provides a standardized way to measure and improve how models handle dense UI layouts and list-based navigation, ensuring "tap" reliability in autonomous agents.
+
+## 🚀 About Drizz
+**Reimagining Mobile App Testing with Vision AI.**
+
+At **[Drizz](https://www.drizz.dev/)**, we’re building the world’s fastest AI-powered testing agent for mobile apps—no locators, no scripting, just plain English. Mobile teams today move fast, but testing tools haven’t kept up. Drizz replaces brittle, locator-based frameworks with a vision-based AI engine that understands your app like a human. 
+
+**With Drizz, teams achieve:**
+* **10x Faster Test Cycles**
+* **97%+ Test Accuracy**
+* **Zero Flaky Tests** via our vision-based engine.
+
+We are releasing **UI-TapBench** to help the community move toward a world where UI automation is as simple, reliable, and "human-like" as possible.
+## 📊 Dataset Structure
+
+Each entry in `metadata.jsonl` follows this schema:
+
+| Key | Description |
+|---|---|
+| `id` | Unique identifier for the sample. |
+| `image` | Relative path to the screenshot (e.g., `images/841.png`). |
+| `task` | The natural language command (e.g., "Tap on second option"). |
+| `bbox` | Ground truth coordinates: `[xmin, ymin, xmax, ymax]`. |
+| `app_name` | The package name of the app being tested. |
+| `function` | The targeted action type (default: `tap_call_llm`). |
+
+### Example Entry
+```json
+{
+  "id": 841, 
+  "image": "images/841.png", 
+  "task": "Tap on second option in the list.", 
+  "bbox": [42, 733, 1038, 901], 
+  "app_name": "com.duolingo", 
+  "function": "tap_call_llm"
+}