MetaboBench

Evaluate agents on metabolomics analysis tasks. Each row is one task; the Viewer reads the original benchmark/studyN/tasks.json directly.

Study	Open tasks	Multiple-choice tasks
study1	3	3
study2	5	8
study3	3	4

Columns: task_id, task_type, question, inputs, outputs, success_rules, reference; multiple-choice tasks also use options.

Open tasks require an independent analysis script and results.json plus declared artifacts. SR requires effective execution and all necessary success rules to pass; VER measures valid clean execution. Report resource use separately. Multiple-choice accuracy is separate.

from datasets import load_dataset
tasks = load_dataset("sanjarmarmar/metabobench", "study1", split="test")

Inputs and provenance are under study/studyN/; reference programs, results and tables are under benchmark/studyN/reference/. Reference answers and author materials are public: agents should receive only the question, declared inputs and public requirements.

Source methodology limitations remain documented in each study's context and reference results. Third-party materials retain their original sources and terms; the project MIT license does not relicense all input data. No agent outputs, model credentials, build records or paper full texts are included.

Project code: GitHub.