metadata
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:
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