Update README with professional dataset card

README.md

@@ -1,21 +1,38 @@
+---
+license: cc-by-nc-4.0
+tags:
+- computer-vision
+- mobile-ui
+- ios
+- multimodal
+- layout-analysis
+- vision-language
+task_categories:
+- object-detection
+- image-classification
+- other
+language:
+- en
+pretty_name: iOS-1K-Mobile-UI-Dataset
+---
 
-# iOS-UI-1000: Human-Validated iOS UI Dataset
+# iOS-1K-Mobile-UI-Dataset
 
 ## Overview
 
-iOS-UI-1000 is a dataset of 1,000 real-world iOS mobile UI screens collected 
-from a wide range of application categories on the Apple App Store.
+**iOS-1K-Mobile-UI-Dataset** is a curated dataset of **1,000 real-world iOS mobile UI screens** collected from diverse application categories available on the Apple App Store.
 
-Each screen is paired with human-validated structured JSON ground truth annotations.
+Each screen is paired with **human-validated structured JSON ground truth annotations**, enabling research in UI understanding, layout analysis, and multimodal modeling.
 
 The dataset includes:
+
 - Simple layouts (e.g., login, onboarding screens)
 - Visually dense interfaces (e.g., feeds, checkout flows)
 - Structured UI element annotations
-- Bounding boxes
-- Element types
-- Clickability labels
-- Text content
+- Bounding boxes for UI components
+- Element type labels
+- Clickability attributes
+- Text content for text-bearing elements
 
 ---
 
@@ -43,18 +60,18 @@ ios-ui-dataset/
 
 ## Metadata Format
 
-The `metadata.csv` file contains:
+The `metadata.csv` file provides mapping between images and annotations:
 
 | screen_id | image_file        | annotation_file          |
 |-----------|------------------|--------------------------|
-| 1         | images/0001.png  | annotations/0001.json    |
-| 2         | images/0002.png  | annotations/0002.json    |
+| 0001      | images/0001.png  | annotations/0001.json    |
+| 0002      | images/0002.png  | annotations/0002.json    |
 
 ---
 
 ## Annotation Format
 
-Each JSON file follows a structured format similar to:
+Each JSON annotation follows a structured schema:
 
 ```json
 {
@@ -71,30 +88,62 @@ Each JSON file follows a structured format similar to:
 }
 ```
 
+Each element includes:
+
+- `type`: UI component category (e.g., button, text, image)
+- `bbox`: Bounding box coordinates
+- `text`: Visible text content (if applicable)
+- `clickable`: Boolean interaction label
+
 ---
 
-## Use Cases
+## Intended Use Cases
+
+This dataset is designed for:
 
 - Mobile UI understanding
-- Layout analysis (simple vs dense)
-- Element detection
-- Vision-language modeling
-- LLM-based UI grounding
-- UI agent research
+- Layout parsing and structural analysis
+- UI element detection
+- Vision–language modeling
+- Multimodal LLM grounding
+- Autonomous UI agent research
+
+---
+
+## Download Instructions
+
+You can download the dataset using the Hugging Face Hub:
+
+```python
+from huggingface_hub import snapshot_download
+
+snapshot_download(
+    repo_id="atharparvezce/iOS-1K-Mobile-UI-Dataset",
+    repo_type="dataset",
+    local_dir="./iOS-1K-Mobile-UI-Dataset"
+)
+```
 
 ---
 
 ## Limitations
 
-- iOS platform only
-- 1,000 screens in current release
-- Category distribution depends on App Store sampling
+- Covers only iOS platform interfaces
+- Contains 1,000 screens in the current release
+- Category distribution reflects App Store sampling
+- UI copyrights remain with original application developers
 
 ---
 
 ## License
 
-cc-by-nc-4.0
+This dataset is released under the **Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)** license.
+
+- Attribution required
+- Non-commercial use only
+
+The dataset is intended strictly for academic and research purposes.
+No personal user data is included.
 
 ---
 
@@ -102,9 +151,12 @@ cc-by-nc-4.0
 
 If you use this dataset in your research, please cite:
 
-@dataset{ios_ui_1000_2026,
-  title={iOS-UI-1000: Human-Validated iOS UI Dataset},
-  author={Athar Parvez},
-  year={2026},
-  publisher={Hugging Face}
+```bibtex
+@dataset{ios_1k_mobile_ui_dataset_2026,
+  title     = {iOS-1K-Mobile-UI-Dataset: A Human-Validated iOS UI Benchmark},
+  author    = {Athar Parvez},
+  year      = {2026},
+  publisher = {Hugging Face},
+  url       = {https://huggingface.co/datasets/atharparvezce/iOS-1K-Mobile-UI-Dataset}
 }
+```