Initial upload: RFSchemBench v1.0.0 (permissive + nc_allowed)

README.md

@@ -0,0 +1,141 @@
+---
+language:
+- en
+- zh
+license:
+- cc-by-4.0
+- cc-by-nc-sa-4.0
+task_categories:
+- visual-question-answering
+- multiple-choice
+pretty_name: RFSchemBench
+size_categories:
+- 1K<n<10K
+configs:
+- config_name: permissive
+  default: true
+  data_files:
+  - split: test
+    path: data/permissive/test-*.parquet
+- config_name: nc_allowed
+  data_files:
+  - split: test
+    path: data/nc_allowed/test-*.parquet
+tags:
+- rf
+- circuit
+- schematic
+- multimodal
+- electronic-engineering
+- benchmark
+- vqa
+---
+
+# RFSchemBench
+
+A multimodal LLM evaluation benchmark for **radio-frequency circuit schematic understanding**, organized by a four-level semantic hierarchy:
+
+1. **Component Understanding** — visible component, parameter, label, and supply-rail recognition.
+2. **Structural Understanding** — net membership, pin-to-net mapping, boundary connectivity, and pair-via-net topological reasoning.
+3. **Functional Understanding** — circuit functional role, signal-form classification, supply strategy, sub-type identification.
+4. **Dynamic Reasoning** — counterfactual plot choice and schematic-modification ↔ simulation-result matching, grounded in `ngspice` simulation.
+
+The benchmark contains **2,348 questions across 590 rendered schematic pages** from publicly available RF schematic data.
+
+## Quick start
+
+```python
+from datasets import load_dataset
+
+# Permissive subset (CC-BY-4.0; recommended for most users)
+ds = load_dataset("anonymous-submission042/RFSchemBench", "permissive", split="test")
+
+# Full benchmark including a NonCommercial-ShareAlike subset
+ds_nc = load_dataset("anonymous-submission042/RFSchemBench", "nc_allowed", split="test")
+
+print(ds[0]["question"], "→ answer:", ds[0]["answer"])
+ds[0]["image"].show()  # PIL.Image of the schematic
+```
+
+## Configurations
+
+| Config | Rows | License | Notes |
+|---|---:|---|---|
+| `permissive` (default) | 2,258 | `CC-BY-4.0` | Excludes the NC-licensed source class. Suitable for commercial / industrial reviewers. |
+| `nc_allowed` | 2,348 | mixed `CC-BY-4.0` + `CC-BY-NC-SA-4.0` | Full benchmark. Per-row `license` field marks which items are NC-licensed. NonCommercial usage only. |
+
+## Schema
+
+Each row has the following fields:
+
+| Field | Type | Description |
+|---|---|---|
+| `question_id` | string | Unique identifier (stable across releases) |
+| `item_id` | string | Source schematic identifier |
+| `source` | string | Source class (`qucs` / `kicad` / `myriadrf` / `m17` / `oresat`) |
+| `level` | string | One of `Component Understanding` / `Structural Understanding` / `Functional Understanding` / `Dynamic Reasoning` |
+| `task_id` | string | Internal task type (e.g. `existence`, `pin_to_net`, `counterfactual_plot_choice`); useful for fine-grained analysis |
+| `category` | string | Coarse-grained tag |
+| `question` | string | English prompt (what models are evaluated on) |
+| `question_zh` | string | Chinese translation (parallel; not used for evaluation) |
+| `image` | PIL.Image | Primary schematic rendering (`image.png`) |
+| `context_images` | list of `{caption, image}` | Auxiliary context images (Dynamic Reasoning only — schematic plus baseline / variant simulation plots) |
+| `options` | list of `{label, text, image}` | Multi-choice options (Dynamic Reasoning only). Some options have only `text`, others have both `text` and `image`. |
+| `answer_type` | string | `enum_label` / `comma_separated_list` / `integer` / `short_text` |
+| `answer_allowed` | list of string | Permitted enum values (empty for non-enum types) |
+| `answer` | string | Gold answer; for list-type answers, comma-separated |
+| `source_schematic` | string | Provenance: original `.kicad_sch` / `.sch` path |
+| `license` | string | Per-row license tag (`CC-BY-4.0` or `CC-BY-NC-SA-4.0`) |
+
+## Construction
+
+The benchmark is constructed via **expert-rule-guided programmatic generation from authoritative sources**:
+
+- Domain experts encode question-generation rules and gold-answer semantics into Python programs.
+- Gold answers are extracted deterministically from authoritative source artifacts (KiCad CLI output, Qucs native schematic graph, `ngspice` simulation outputs).
+- LLMs are deliberately **excluded from the gold-answer path**; they are used only as an auxiliary RF-relevance gate at the page level.
+- An iterative rule-refinement loop catches edge cases during construction; the released gold answers reflect the latest revisions.
+
+This avoids the gold-answer noise floor of LLM-as-Generator benchmarks while scaling beyond purely human-curated efforts.
+
+## License
+
+This dataset is released under a **two-tier license model** because the upstream sources have heterogeneous licenses:
+
+- **`permissive` config** (recommended default): all rows under `CC-BY-4.0`. Compatible with commercial use, redistribution, and derivative works subject to attribution.
+- **`nc_allowed` config**: includes one source class (`m17` digital-radio community hardware, 90 questions) which is upstream-licensed under `CC-BY-NC-SA-4.0` (NonCommercial-ShareAlike). Per-row `license` field marks affected items. Users must respect NC + ShareAlike for those rows.
+
+Per-source licensing summary:
+
+| Source class | Upstream license profile | Tier inclusion |
+|---|---|---|
+| `qucs` | GPL-2.0 example schematics (treated as derivative-work CC-BY-4.0 for image renderings) | both |
+| `kicad` | mostly MIT / Apache-2.0 / GPL-3.0 mix | both |
+| `myriadrf` | mostly Apache-2.0 / CC-BY-4.0 | both |
+| `oresat` | CERN-OHL-S-2.0 (treated as share-alike-compatible CC-BY-4.0 for renderings) | both |
+| `m17` | **CC-BY-NC-SA-4.0** ⚠ NC | `nc_allowed` only |
+
+For redistribution that requires fully permissive licensing, use only the `permissive` config.
+
+## Limitations
+
+1. **Source-class size imbalance**: question counts per source class span 40–974; per-source claims should be reported with N.
+2. **Dynamic Reasoning scope**: only one source class has the simulation-grounded subset (55 questions). This dimension is reported as a small stress test, not the main result.
+3. **Language**: questions are evaluated in English; Chinese parallel translations are provided for reference only.
+4. **Single-image protocol**: each question is paired with one primary schematic image (Dynamic Reasoning rows additionally provide context plots / option plots).
+5. **Anonymized release**: this submission account is for double-blind peer review. The dataset will be transferred to the official maintainer account upon acceptance.
+
+## Citation
+
+```bibtex
+@misc{rfschembench2026,
+  title  = {RFSchemBench: A Multi-Source, Hierarchically-Structured Multimodal Benchmark for RF Circuit Schematic Understanding},
+  author = {Anonymous},
+  year   = {2026},
+  note   = {Submitted to NeurIPS 2026 Evaluations \& Datasets Track}
+}
+```
+
+## Contact
+
+For benchmark integrity issues (gold-answer corrections, RF-gate disputes, parser / scorer concerns), please open a Discussion on this dataset's HuggingFace page. During the double-blind review window, identifying contact details are intentionally withheld.

croissant.json

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+  "license": "https://creativecommons.org/licenses/by/4.0/",
+  "url": "https://huggingface.co/datasets/anonymous-submission042/RFSchemBench",
+  "version": "1.0.0",
+  "citeAs": "@misc{rfschembench2026, title={RFSchemBench: A Multi-Source, Hierarchically-Structured Multimodal Benchmark for RF Circuit Schematic Understanding}, author={Anonymous}, year={2026}, note={Submitted to NeurIPS 2026 Evaluations \\& Datasets Track}}",
+  "creator": {
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+        {
+          "@type": "cr:Field",
+          "@id": "nc_allowed/answer_allowed",
+          "name": "answer_allowed",
+          "description": "Permitted enum values (empty for non-enum types)",
+          "dataType": "sc:Text",
+          "source": {
+            "fileObject": {
+              "@id": "nc_allowed-parquet"
+            },
+            "extract": {
+              "column": "answer_allowed"
+            }
+          }
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "nc_allowed/answer",
+          "name": "answer",
+          "description": "Gold answer; for list-type, comma-separated",
+          "dataType": "sc:Text",
+          "source": {
+            "fileObject": {
+              "@id": "nc_allowed-parquet"
+            },
+            "extract": {
+              "column": "answer"
+            }
+          }
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "nc_allowed/source_schematic",
+          "name": "source_schematic",
+          "description": "Provenance: original .kicad_sch / .sch path",
+          "dataType": "sc:Text",
+          "source": {
+            "fileObject": {
+              "@id": "nc_allowed-parquet"
+            },
+            "extract": {
+              "column": "source_schematic"
+            }
+          }
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "nc_allowed/license",
+          "name": "license",
+          "description": "Per-row license tag (CC-BY-4.0 or CC-BY-NC-SA-4.0)",
+          "dataType": "sc:Text",
+          "source": {
+            "fileObject": {
+              "@id": "nc_allowed-parquet"
+            },
+            "extract": {
+              "column": "license"
+            }
+          }
+        }
+      ]
+    }
+  ],
+  "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."
+}

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