Update README.md

README.md

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----
-license: cc-by-sa-4.0
----
+---
+license: cc-by-4.0
+pretty_name: 'E-commerce Platform Screen Recording Dataset'
+language:
+- en
+tags:
+- screen-recording
+- ecommerce
+- user-interface
+- clickstream
+- usability
+- ai-research
+- video-to-text
+- ui-analysis
+task_categories:
+- video-classification
+- video-text-to-text
+size_categories:
+- 1K<n<10K
+---
+
+# E-commerce Platform Screen Recording Dataset
+*This dataset contains high-quality screen recordings of user interactions on an e-commerce platform. It has been carefully curated, cleaned, and anonymized to ensure accuracy, completeness, and compliance with privacy standards, making it suitable for UI/UX research, AI training, and behavior analysis.*
+
+## Contact
+For queries or collaborations related to this dataset, contact:  
+  - anoushka@kgen.io  
+  - abhishek.vadapalli@kgen.io  
+
+## Supported Tasks
+
+- **Task Categories**:  
+  - Video Classification  
+  - Video-to-Text Generation  
+
+- **Supported Tasks**:  
+  - Automatic captioning of screen recordings  
+  - User journey segmentation and analysis  
+  - Action recognition (e.g., search, click, checkout)  
+  - Usability and UX pattern analysis  
+  - Clickstream behavior prediction  
+  - E-commerce workflow automation  
+
+## Languages
+
+- **Primary Language**: English (UI, product listings, and user interactions)  
+
+## Dataset Creation
+
+### Curation Rationale
+This dataset was created to advance research in user interaction modeling, e-commerce usability analysis, and multimodal AI systems. It enables training models that can understand complex UI workflows, user intent, and purchasing behavior in digital marketplaces.
+
+### Source Data
+- **Contributors**: Collected from simulated user sessions on an e-commerce platform  
+- **Collection Process**: Screen recordings of diverse user activities including browsing, searching, adding items to cart, and completing purchases. Personally identifiable information (PII) is anonymized or removed.  
+
+### Other Known Limitations
+- **Size**: Dataset may not cover all e-commerce workflows (e.g., returns, customer support)  
+- **Bias**: Recorded sessions may overrepresent certain product categories or browsing behaviors  
+- **Platform-Specificity**: May not generalize to all e-commerce platforms or mobile-first interfaces  
+
+## Intended Uses
+
+### ✅ Direct Use
+- Training AI models for action recognition in screen recordings  
+- Research in human-computer interaction (HCI) and usability testing  
+- Automatic summarization of user journeys  
+- Academic research in e-commerce UX and behavioral analysis  
+
+### ❌ Out-of-Scope Use
+- Tracking or surveillance of real users without consent  
+- Commercial exploitation without attribution or ethical clearance  
+- Inference of personal or sensitive information from recordings  
+- Real-time monitoring or decision-making without validation  
+
+## License
+
+CC BY 4.0