Duplicate from Kratos-AI/Quick_Commerce_Grocery_App_Screen_Recording_Dataset

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README.md

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+---
+license: cc-by-4.0
+pretty_name: 'Quick Commerce Grocery App Screen Recording Dataset'
+language:
+- en
+tags:
+- screen-recording
+- quick-commerce
+- grocery-app
+- mobile-app
+- user-interface
+- clickstream
+- usability
+- ai-research
+- video-to-text
+- ui-analysis
+task_categories:
+- video-classification
+- video-text-to-text
+size_categories:
+- 1K<n<10K
+---
+
+# Quick Commerce Grocery App Screen Recording Dataset
+*This dataset contains high-quality screen recordings of user interactions on quick commerce grocery applications. It has been carefully curated, cleaned, and anonymized to ensure accuracy, completeness, and compliance with privacy standards, making it suitable for AI training, UX research, and user 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 grocery ordering workflows  
+  - User journey segmentation (search → select → cart → checkout → track delivery)  
+  - Action recognition (e.g., category navigation, product selection, cart update, payment)  
+  - UX pattern analysis for grocery apps  
+  - Behavioral modeling for personalized product recommendations  
+  - Multimodal research in mobile commerce  
+
+## Languages
+
+- **Primary Language**: English (UI, product listings, and user interactions)  
+
+## Dataset Creation
+
+### Curation Rationale
+This dataset was created to support AI research in quick commerce and grocery delivery apps, enabling models to understand step-by-step ordering journeys, user preferences, and decision-making patterns for faster and more efficient digital grocery experiences.
+
+### Source Data
+- **Contributors**: Simulated user sessions on quick commerce grocery apps  
+- **Collection Process**: Screen recordings of diverse user activities including browsing categories, searching products, adding items to the cart, applying filters or offers, completing payment, and tracking delivery. All personally identifiable information (PII) is anonymized or removed.  
+
+### Other Known Limitations
+- **Size**: Dataset may not cover all grocery app features (e.g., returns, refunds, support chats)  
+- **Bias**: Recorded sessions may overrepresent certain product categories, price ranges, or urban shopping behaviors  
+- **Platform-Specificity**: May not generalize across all grocery apps or regional platforms  
+
+## Intended Uses
+
+### ✅ Direct Use
+- Training AI models for action recognition in grocery app workflows  
+- Research in human-computer interaction (HCI) and usability testing  
+- Automatic summarization of grocery ordering journeys  
+- Academic research in mobile commerce, UX, and behavioral AI  
+
+### ❌ Out-of-Scope Use
+- Tracking or surveillance of real users without explicit consent  
+- Commercial exploitation without attribution or ethical clearance  
+- Extraction of sensitive payment or personal details  
+- Real-time monitoring or decision-making without human oversight  
+
+## License
+
+CC BY 4.0

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