feat: new proposal (structured outputs) prompts#887
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| Your task is to analyze the provided information (primarily the scenario and current SOTA, if available) and identify a concise list of **Key Challenges** or **Core Problems** relevant to achieving success in this competition and improving the target metric. Aim for **FEWER BUT BETTER** challenges (e.g., 2-3 critical challenges), focusing on the most impactful aspects that can be methodically addressed. | ||
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| ### Core Analysis Dimensions for Identifying Challenges | ||
| 1. **SOTA Alignment Analysis**: (If SOTA is provided) Systematically compare the current SOTA implementation against dataset properties and domain knowledge to identify discrepancies or areas representing core challenges to overcome for enhancement. |
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A question just because of curiosity. This description duplicates with the fields of BaseModel for structure_response. Will it work in practice if we only keep one of them?
Co-authored-by: you-n-g <you-n-g@users.noreply.github.com>
Jensen246
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* some initial modifications * first prompt * refine prompts * isolate to v3 exp gen * Revert prompts * Add hypothesis * task gen prompt * minor updates * minor updates * update proposal * Move the pydantic schema upfront to avoid loading error * Update first prompts * New prompt * Update prompt * Update data folder * . * Revert changes * support v3 in pipeline and feedback * sort imports * black format * Update rdagent/scenarios/data_science/dev/prompts.yaml Co-authored-by: you-n-g <you-n-g@users.noreply.github.com> --------- Co-authored-by: Xu Yang <peteryang@vip.qq.com> Co-authored-by: you-n-g <you-n-g@users.noreply.github.com>
licong01-cloud
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Dec 13, 2025
* some initial modifications * first prompt * refine prompts * isolate to v3 exp gen * Revert prompts * Add hypothesis * task gen prompt * minor updates * minor updates * update proposal * Move the pydantic schema upfront to avoid loading error * Update first prompts * New prompt * Update prompt * Update data folder * . * Revert changes * support v3 in pipeline and feedback * sort imports * black format * Update rdagent/scenarios/data_science/dev/prompts.yaml Co-authored-by: you-n-g <you-n-g@users.noreply.github.com> --------- Co-authored-by: Xu Yang <peteryang@vip.qq.com> Co-authored-by: you-n-g <you-n-g@users.noreply.github.com>
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Description
A new version of prompts for proposal. Uses structured outputs.
Motivation and Context
How Has This Been Tested?
Screenshots of Test Results (if appropriate):
Types of changes
📚 Documentation preview 📚: https://RDAgent--887.org.readthedocs.build/en/887/