Update README.md

README.md

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----
-license: mpl-2.0
----
+
+---
+license: mpl-2.0
+task_categories:
+- image-to-text
+- visual-question-answering
+task_ids:
+- image-captioning
+language:
+- en
+size_categories:
+- 10K<n<100K
+tags:
+- computer-vision
+- synthetic-data
+- geometric-shapes
+- motion-analysis
+- multi-object
+- spatial-reasoning
+---
+
+# 🌀 SHAPES Motion Dataset
+
+<div align="center">
+
+![Dataset Preview](https://img.shields.io/badge/📊-10,000%20Images-blue)
+![Resolution](https://img.shields.io/badge/🖼️-1024x1024-green)
+![License](https://img.shields.io/badge/📜-MPL--2.0-orange)
+![Motion Types](https://img.shields.io/badge/🎯-Dynamic%20%2B%20Static-purple)
+
+*A high-quality synthetic dataset of geometric shapes in motion with rich textual descriptions*
+
+</div>
+
+## 🌟 Dataset Highlights
+
+- **10,000 high-resolution images** (1024×1024 pixels)
+- **Rich captions** with motion dynamics and spatial relationships
+- **Diverse geometric shapes** with realistic motion trails
+- **Multi-object scenes** with complex interactions
+- **Synthetic but realistic** rendering with gradient backgrounds
+
+## 📊 Dataset Structure
+
+```bash
+set_SHAPES/
+├── images/
+│   ├── 00001.jpg
+│   ├── 00002.jpg
+│   └── ... (10,000 files)
+└── captions.csv
+```
+
+### 📋 Metadata Columns
+- `filename`: Unique image identifier
+- `caption`: Detailed natural language description
+- `motion_type`: [moving, sliding, drifting, streaking, arcing]
+- `dynamics`: [constant, accelerating, decelerating, rotating, curving]
+- `num_objects`: Number of objects in scene (1-3)
+
+## 🎨 Visual Features
+
+### 🟦 Geometric Shapes
+- **Basic**: Circle, Square, Rectangle, Ellipse
+- **Complex**: Triangle, Pentagon
+- **Size Variations**: Tiny → Huge (5 scales)
+- **Color Palette**: 14 distinct colors with contrasting outlines
+
+### 🎬 Motion Dynamics
+```python
+# Motion Types
+MOTION_VERBS = ['moving', 'sliding', 'drifting', 'streaking', 'arcing']
+
+# Dynamics
+MOTION_DYNAMICS = [
+    'at constant speed', 
+    'while accelerating', 
+    'while decelerating', 
+    'while rotating', 
+    'in a curve while rotating'
+]
+```
+
+### 🎯 Spatial Relations
+- **Positional**: top-left, center, bottom-right, etc.
+- **Relative**: passing by, near, adjacent to
+- **Size comparisons**: larger than, smaller than
+
+## 📝 Example Captions
+
+**Motion Scene**:  
+*"A large wide blue rectangle with a yellow outline is sliding while accelerating from the top left towards the bottom center, passing by a static medium standard red circle with a black outline in the middle."*
+
+**Static Scene**:  
+*"An image with a huge green pentagon with magenta outline in the bottom right and a tiny tall orange ellipse with cyan outline in the top center."*
+
+## 🚀 Quick Start
+
+### Installation
+```bash
+pip install datasets pillow
+```
+
+### Load Dataset
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("Maazwaheed/set_SHAPES")
+print(f"Dataset size: {len(dataset['train'])}")
+print(f"Sample caption: {dataset['train'][0]['caption']}")
+```
+
+### Advanced Usage
+```python
+# Filter motion scenes
+motion_scenes = [item for item in dataset['train'] 
+                if 'moving' in item['caption'] or 'sliding' in item['caption']]
+
+# Get multi-object scenes
+multi_object = [item for item in dataset['train'] 
+               if 'and' in item['caption']]
+```
+
+## 📊 Statistics
+
+| Metric | Value |
+|--------|-------|
+| Total Images | 10,000 |
+| Motion Scenes | ~6,000 |
+| Static Scenes | ~4,000 |
+| Avg. Caption Length | 35 words |
+| Color Variations | 14 colors |
+| Shape Types | 6 shapes |
+
+## 🎯 intended Use
+
+### ✅ Primary Tasks
+- **Image Captioning** - Rich descriptions for training
+- **Visual Question Answering** - Spatial reasoning
+- **Motion Understanding** - Dynamic scene analysis
+- **Object Detection** - Multi-object recognition
+- **Synthetic-to-Real Transfer** - Domain adaptation
+
+### ⚠️ Limitations
+- Synthetic data (not real-world)
+- Limited to geometric shapes
+- Predetermined color palette
+- Simplified physics model
+
+## 🔧 Technical Details
+
+### Generation Process
+1. **Background**: Gradient generation with smooth transitions
+2. **Shapes**: Anti-aliased rendering with outlines
+3. **Motion**: Bézier curves with trail effects
+4. **Composition**: Multi-object placement with occlusion handling
+5. **Captions**: Rule-based natural language generation
+
+### Technical Specs
+- **Format**: JPEG (quality=95)
+- **Color Space**: RGB
+- **Resolution**: 1024×1024
+- **Size per Image**: ~150-250KB
+- **Total Dataset Size**: ~2.5GB
+
+## 📜 License
+
+**MPL-2.0** - Allows commercial use, modification, and distribution with appropriate attribution.
+
+## 🤝 Contributing
+
+We welcome contributions! Please:
+1. Fork the repository
+2. Create a feature branch
+3. Submit a pull request
+4. Open issues for suggestions
+
+## 📞 Contact
+
+**Maintainer**: Maaz Waheed  
+**Email**: [Your Email]  
+**Hugging Face**: [Maazwaheed](https://huggingface.co/Maazwaheed)
+
+## 🙏 Acknowledgments
+
+- Hugging Face for dataset hosting
+- PIL/Pillow community for image processing
+- Open-source community for inspiration
+
+---
+
+<div align="center">
+
+**⭐ Star this dataset if you find it useful!**
+
+[![Hugging Face](https://img.shields.io/badge/🤗-View%20on%20HF-yellow)](https://huggingface.co/datasets/Maazwaheed/set_SHAPES)
+[![License](https://img.shields.io/badge/📜-MPL--2.0-lightgrey)](https://www.mozilla.org/en-US/MPL/2.0/)
+
+</div>