
Worked on enhancing the evaluation workflow documentation for the Alibaba-NLP/DeepResearch repository, focusing on improving clarity and usability for new contributors. Updated the README.md using Markdown to provide detailed instructions for preparing the new evaluation dataset, ensuring that onboarding is faster and experimental results are reproducible. Removed an outdated dataset file to maintain repository hygiene and prevent potential confusion or misuse. Employed skills in data preparation, documentation, and version control to streamline the process and support collaborative development. No bug fixes were addressed during this period, with efforts concentrated on documentation quality and maintaining a clean, well-organized project structure.
Monthly summary for 2025-07: Focused on improving evaluation workflow documentation in Alibaba-NLP/DeepResearch. Delivered clear instructions for preparing the new evaluation dataset and removed an outdated file to prevent confusion. No major bug fixes this month. Result: faster onboarding, reproducible experiments, and cleaner repository hygiene.
Monthly summary for 2025-07: Focused on improving evaluation workflow documentation in Alibaba-NLP/DeepResearch. Delivered clear instructions for preparing the new evaluation dataset and removed an outdated file to prevent confusion. No major bug fixes this month. Result: faster onboarding, reproducible experiments, and cleaner repository hygiene.

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