llm-srbench/chem_react/CRK28/metadata.yaml

dataset:
  name: llm-srbench__chem_react__CRK28
  description: null
  splits:
    train:
      file: train.csv
      samples: 3500
      ratio: 7
    valid:
      file: valid.csv
      samples: 500
      ratio: 1
    id_test:
      file: id_test.csv
      samples: 500
      ratio: 1
    ood_test:
      file: ood_test.csv
      samples: 500
      ratio: 1
  ground_truth_formula:
    file: formula.py
  features:
    - name: t
      type: continuous
      train_range: [0.0120024001225829, 53.98679733276367]
      ood_range: [54.01080322265625, 60.0]
      description: Time
    - name: A
      type: continuous
      train_range: [1.0010783672332764, 3.4506735801696777]
      ood_range: [3.4516897201538086, 3.70158314704895]
      description: Concentration at time t
  target:
    name: dA_dt
    type: continuous
    train_range: [0.0410834625363349, 0.0898257419466972]
    ood_range: [0.0410623550415039, 0.0423301607370376]
    description: Rate of change of concentration in chemistry reaction kinetics
  license: MIT
  citation:
    arXiv: 2504.10415
    title: 'LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models'
  resources:
    - https://github.com/deep-symbolic-mathematics/llm-srbench
    - https://huggingface.co/datasets/nnheui/llm-srbench