WebChain: A Large-Scale Human-Annotated Dataset of Real-World Web Interaction Traces | ScienceToStartup | ScienceToStartup

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References (24)

[1]

UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning

2025Haoming Wang, Haoyang Zou et al.

[2]

AReaL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning

2025Wei Fu, Jiaxuan Gao et al.

[3]

GUI-R1 : A Generalist R1-Style Vision-Language Action Model For GUI Agents

Founder's Pitch

"WebChain is a large-scale, human-annotated dataset for training and evaluating web agents, enabling the development of more robust and scalable solutions for automating web interactions."

Web Agents•Score: 7•View PDF ↗

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2.5

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2.5

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WebChain: A Large-Scale Human-Annotated Dataset of Real-World Web Interaction Traces

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References (24)

Founder's Pitch

"WebChain is a large-scale, human-annotated dataset for training and evaluating web agents, enabling the development of more robust and scalable solutions for automating web interactions."

Commercial Viability Breakdown

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WebChain: A Large-Scale Human-Annotated Dataset of Real-World Web Interaction Traces

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References (24)

Founder's Pitch

"WebChain is a large-scale, human-annotated dataset for training and evaluating web agents, enabling the development of more robust and scalable solutions for automating web interactions."

Commercial Viability Breakdown

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