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README.md
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# WebChain
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WebChain is a large-scale, human-annotated dataset of real-world web interaction trajectories for training and evaluating GUI agents and web agents.
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Paper: https://arxiv.org/abs/2603.05295
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## Dataset summary
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From the paper:
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- **31,725** human-verified trajectories
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- **317,993** total interaction steps
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- **428** unique domains
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- `raw/img/` for viewport images
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- `raw/full_screenshots/` for partial page-level images
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##
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A step in WebChain may align the following information:
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- timestamp
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- optional rationale / CoT
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This section is conceptual documentation only. If your final released schema differs, always prefer the actual schema in the released Parquet files.
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## Responsible use
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You agree not to:
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# WebChain
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WebChain is a large-scale, human-annotated dataset of real-world web interaction trajectories for training and evaluating GUI agents and web agents. WebChain contains **31,725 trajectories**, **317,993 steps**, and **428 unique domains**. Its core contribution is a **Triple Alignment** of visual context, structural context, and action grounding, enabling supervision for both **spatial grounding** and **long-horizon planning**.
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Paper: https://arxiv.org/abs/2603.05295
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## Dataset summary
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- **31,725** human-verified trajectories
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- **317,993** total interaction steps
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- **428** unique domains
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- `raw/img/` for viewport images
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- `raw/full_screenshots/` for partial page-level images
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## Example available fields
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A step in WebChain may align the following information:
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- timestamp
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- optional rationale / CoT
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## Responsible use
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You agree not to:
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