humyn-labs/E-commerce_Platform_Screen_Recording_Dataset

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