Author

Hanane Nour Moussa

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#machine learning Conference Jun 2025

AutoSDT: Scaling Data-Driven Discovery Tasks Toward Open Co-Scientists

This work presents AutoSDT, an automatic pipeline that collects high-quality coding tasks in real-world data-driven discovery workflows and is the only automatically collected and the largest open dataset for data-driven scientific discovery.

Yifei Li, Hanane Nour Moussa, Ziru Chen et al. · Conference on Empirical Meth... · 11 citations · ⚡1

#artificial intelligence Review Apr 2026

D3-Gym: Constructing Real-World Verifiable Environments for Data-Driven Discovery

D3-Gym is introduced, the first automatically constructed dataset with verifiable environments for scientific Data-Driven Discovery, and how D3-Gym environments can serve as a testbed for studying agentic optimization loops such as Autoresearch on real scientific workflows.

Hanane Nour Moussa, Yi-Fei Li, Zhuo-Yang Li et al. · arXiv.org · 0 citations