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
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