Multi-turn conversations
Human–AI interactions with context, feedback, and refinement.
DATA STATION / AI DATA PROCUREMENT
Through Data Station, I work with AI labs and companies on data procurement for training and evaluation. Data Station brings together a consumer-facing agent marketplace and professional data producers.
WHAT YOU CAN PROCURE
Explore the data categories below. Specific fields, source composition, and available collections are agreed during consultation.
Human–AI interactions with context, feedback, and refinement.
Task execution records across code, tools, and browsers, with actions, feedback, and recorded outcomes.
Underlying records, metadata, and supporting context in an agreed delivery format.
Requests for specific domains, languages, tasks, or workflows.
COVERAGE & DELIVERY
Language coverage includes English, Chinese, and Korean. Dataset availability, task mix, volume, and delivery format are confirmed for each procurement request.
Data Station’s company is based in Hong Kong. Visit the business website ↗ for the product overview. Reach out to Rainy for procurement coordination and a data brief.
QUALITY & LICENSING
Review session completeness, tool calls and feedback, recorded outcomes, and selection criteria against your intended use case.
Before procurement, confirm data provenance, collection authorization, privacy handling, permitted training and evaluation uses, and any contractual restrictions.
PROCUREMENT PROCESS
Use case, languages, tasks, volume, and timeline.
Assess structure and fit for your intended use.
Confirm selection criteria, permitted uses, and delivery terms.
Align the format and schedule with your project.
COMMON PROCUREMENT QUESTIONS
Multi-turn conversations, agent trajectories, raw data and supporting context, and custom sourcing. Exact availability is confirmed for each request.
Coverage includes English, Chinese, and Korean. Language availability for a specific task or collection is confirmed during consultation.
Yes. Share the domain, language, task types, volume, timeline, and intended use so we can explore the request.
Quality criteria, provenance, privacy handling, and permitted uses are reviewed for the proposed dataset before procurement. Licensing scope is agreed per project.
START A CONVERSATION
Share your use case, preferred languages, task types, approximate volume, timeline, and intended use. Let’s discuss what fits your project.
Contact Rainy Zhou on LinkedIn. Dataset details and partnership terms are discussed per project.