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title: 'CropMath: An Objective Benchmark for Mechanistic Formula Reasoning in Agricultural
Large Language Models'
message: If you use this dataset, please cite it using the metadata below.
type: dataset
authors:
- family-names: Ma
given-names: Yuanyuan
affiliation: Nanjing Agricultural University
year: 2026
license: CC-BY-4.0
repository-code: https://github.com/YuanyuanMa03/CropMath
abstract: CropMath is an objective benchmark for evaluating mechanistic formula reasoning
in agricultural large language models. It contains 62 formulas from 4 public family
categories (growth_yield, carbon_nitrogen_cycle, methane_emission, environmental_response),
6 knowledge-ablation conditions, and 4 reasoning modes. Ground-truth answers are
derived deterministically from the documented mathematical expressions.
keywords:
- agricultural science
- mechanistic formula reasoning
- formula reasoning
- numerical reasoning
- benchmark
- knowledge ablation
- LLM evaluation
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