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"rai:dataCollection": "Schematic source files (.kicad_sch, .qucs) were collected from publicly available GitHub repositories for the qucs / kicad / myriadrf / m17 / oresat ecosystems. Pages were rendered to PNG via KiCad CLI and Qucs native renderers. A page-level Qwen3.6 RF-relevance gate filtered out non-RF pages.",
"rai:dataCollectionType": "Crawled / programmatically rendered from authoritative open-source schematic repositories.",
"rai:dataCollectionRawData": "Original `.kicad_sch` and `.qucs` files plus their rendered images.",
"rai:dataPreprocessingProtocol": "Each schematic page is rendered to a primary PNG image. For Dynamic Reasoning, ngspice simulation outputs and counterfactual variant plots are pre-computed. RF-relevance gating applied at the page level.",
"rai:dataAnnotationProtocol": "Gold answers are produced deterministically by Python rules authored by domain experts, extracting structured ground truth from KiCad CLI / Qucs / ngspice outputs. LLMs are NOT used in the gold-answer path. Iterative rule refinement: experts review generated questions and patch rules when systematic errors are found; the released release reflects the latest revisions.",
"rai:dataAnnotationPlatform": "Custom Python pipelines under `qa_pipelines/<source>/` in the source repository.",
"rai:dataAnnotationAnalysis": "An independent post-hoc gold audit on a stratified sample is planned as part of the validity protocol; results will be reported in the camera-ready paper.",
"rai:annotationsPerItem": "1 gold answer per question, deterministic from rules.",
"rai:annotatorDemographics": "Gold answers produced by deterministic rule code; no human annotators per item.",
"rai:dataUseCases": [
"Evaluation of multimodal LLMs on RF circuit schematic understanding.",
"Diagnostic analysis of structural connectivity reasoning in vision-language models.",
"Reasoning-mode (thinking on/off) ablation studies."
],
"rai:dataLimitations": "Per-source-class question counts are imbalanced (40 to 974); per-source claims should be reported with N. Dynamic Reasoning subset (N=55) exists only on simulation-capable source class. Questions evaluated in English; Chinese parallel translations provided for reference. Single-image-per-question protocol.",
"rai:dataBiases": "Source-class bias: the largest source class contributes ~41% of questions, which can dominate micro accuracy. We provide a `permissive` config that excludes the NonCommercial source and recommend reporting both micro and source-balanced macro accuracy. Domain bias: schematics are biased toward open-source SDR / amateur radio / satellite hardware; commercial proprietary RF designs are not represented.",
"rai:dataReleaseMaintenancePlan": "Versioned releases under semver. Discussion thread is open for gold-answer corrections and parser / scorer disputes. After acceptance, this anonymous repository will be transferred to a maintainer account.",
"rai:personalSensitiveInformation": "None. The dataset contains schematic images from open-source hardware projects, with no personally identifiable information, biometric data, or sensitive content.",
"rai:dataSocialImpact": "Positive: enables systematic evaluation of multimodal LLMs on RF engineering tasks, supporting safer deployment in EE / RF design workflows. Risk: LLMs that perform well on this benchmark are not certified for production EE design. Use as evaluation tool, not deployment certification.",
"rai:hasSyntheticData": false,
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} |