TinyFish Launches BigSet: An Open-Source Multi-Agent System That Builds Structured Live Datasets from Plain-English Descriptions
One sentence. Live dataset. TinyFish just shipped BigSet—an open-source multi-agent system that turns plain-English descriptions into structured tables.
Why it matters
TinyFish's BigSet demonstrates the emerging pattern of agent-based data infrastructure tools that automate dataset construction at scale. For data teams and AI builders, this reduces the manual work of sourcing and structuring live data—a critical bottleneck in production AI pipelines.
The key facts
12 to knowTinyFish launches BigSet
Open-source multi-agent system
Converts plain-English descriptions to structured datasets
Uses orchestrator + parallel sub-agents architecture
Web-live data sourcing capability
Returns structured tables as output
TinyFish launches BigSet open-source project
Multi-agent orchestrator architecture with parallel sub-agents
Plain-English dataset description input
Live web research capability
Structured table output
Published June 2, 2026
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Publisher excerpt: Describe a dataset in one sentence; Bigset's orchestrator and parallel sub-agents research the live web and return structured tables. The post TinyFish Launches BigSet: An Open-Source Multi-Agent System That Builds Structured Live Datasets from Plain-English Descriptions appeared first on…