RealSR/benchmark_v3

SciLaws-Bench v3 — Real-world Symbolic Regression Benchmark 118 real-world scientific symbolic-regression tasks (66 Type I + 52 Type II), scored on two parallel axes: Headline stats: 118 Scientific Problems, 291 Candidate Laws, 381 Science Papers, 8M Real Data Points. numeric_score — deterministic predictive accuracy, reference-relative (best published baseline -> 0.5, perfect -> 1.0). Computed by harness/evaluate_numeric.py. validity_score — physical / functional coverage. A… See the full description on the dataset page: https://huggingface.co/datasets/RealSR/benchmark_v3.

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