Finally, describe in detail available real-world datasets and advocate their usage. The study is a mine of ideas 💡 for evaluation of causal discovery methods. What are your thoughts?

🚨 The paper challenges the reliance on structural metrics (SHD) and propose to use interventional metrics as “they assess the outcomes we truly care about — the effects of unseen interventions”. 🌍

The authors review a large body of work on causal discovery, analyzing how methods are evaluated. They provide a detailed summary of both datasets and metrics currently in use. 📚