Datasets:

xq8wvm
/

HypothesisDrivenExperimentPlanningBench

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+  "name": "HypothesisDrivenExperimentPlanningBench",
+  "description": "xq8wvm/HypothesisDrivenExperimentPlanningBench dataset hosted on Hugging Face and contributed by the HF Datasets community",
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+  "url": "https://huggingface.co/datasets/xq8wvm/HypothesisDrivenExperimentPlanningBench",
+  "rai:dataLimitations": [
+    "This dataset is a synthetic benchmark built from simulated kinetic mechanisms and sampled kinetic constants rather than measurements from real laboratory experiments.",
+    "The released hosted dataset contains 200 ground-truth samples across 20 predefined mechanism families, so it does not cover the full diversity of kinetic systems or experimental settings encountered in practice.",
+    "Performance on this benchmark should not be interpreted as a direct estimate of performance in wet-lab experimental design without additional external validation."
+  ],
+  "rai:dataBiases": [
+    "The benchmark is biased toward the mechanism templates, simulator assumptions, parameter ranges, and validation heuristics implemented in HypothesisDrivenExperimentPlanningBench.",
+    "Because all observations are simulator-generated, methods that exploit artifacts of the simulator or fitter may perform better on this dataset than on real experimental data.",
+    "The dataset includes only successful sampled ground truths that passed the benchmark condition checker, which may under-represent harder or pathological parameter settings."
+  ],
+  "rai:personalSensitiveInformation": "No personal, confidential, or otherwise sensitive human data is included. The dataset consists of synthetic kinetic-system parameters and derived metadata only.",
+  "rai:dataUseCases": [
+    "Benchmarking experimental-design methods for kinetic mechanism identification.",
+    "Evaluating model-based or LLM-based agents on proactive experiment planning in a controlled synthetic setting.",
+    "Research on simulation-based reasoning, proposal policies, and likelihood-based mechanism ranking."
+  ],
+  "rai:dataSocialImpact": "The dataset may help research on automated scientific reasoning and experiment planning, but misuse could arise if benchmark performance is overgeneralized to real laboratory deployment without domain-specific validation and safety review.",
+  "rai:hasSyntheticData": true,
+  "prov:wasDerivedFrom": [
+    "ground_truths_200_samples_v2/ in the KineticMechanismBench project, where each sample was originally stored as an individual JSON file before aggregation into the hosted JSONL dataset."
+  ],
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+    "Ground-truth kinetic constants were sampled for benchmark mechanisms M1-M20, filtered with the benchmark validation procedure, stored as per-sample JSON files, and then aggregated into a single JSONL file for dataset hosting on Hugging Face."
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