• Handy open datasets for method benchmarking

      Finding good public datasets for method validation takes a lot of digging. What are your go‑to high‑quality open datasets for general‑purpose method benchmarking in your field?

      • Always check dataset licenses before using them for published work, some forbid commercial usage.

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        • Prefer datasets with well‑written documentation describing collection process and known biases.

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          • Keep several different datasets in your benchmark suite, avoid drawing conclusions from one single source.

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            • Watch out for test‑set leakage, which is still a surprisingly common pitfall in many public datasets.

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