Alibaba-NLP/WebShaper
WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization Github: https://github.com/Alibaba-NLP/WebAgent Paper: https://arxiv.org/pdf/2507.15061 TLTR WebShaper is a synthesized training dataset for information-seeking (IS) task. It is based on our proposed task formalization of IS, and synthesized by our Expander Agent. WebShaper would cover a broader range of task forms, reasoning structure, and diversified knowledge.… See the full description on the dataset page: https://huggingface.co/datasets/Alibaba-NLP/WebShaper.
| Author / organization | Alibaba-NLP |
|---|---|
| Downloads | 530 (as reported by Hugging Face) |
| Likes | 26 |
| Created | 16 July 2025 |
| Last updated at source | 22 July 2025 |
Recent changes
- 16 Oct 2026 Description: WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization Github: https://github.com/Alibaba-NLP/WebAgent Paper: https://arxiv.org/pdf/2507.15061 TLTR WebShaper is a synthesized training dataset for information-seeking → WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization Github: https://github.com/Alibaba-NLP/WebAgent Paper: https://arxiv.org/pdf/2507.15061 TLTR WebShaper is a synthesized training dataset for information-seeking
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