v1.1: drop question_zh and task_id; add hasSyntheticData + provenance fields
Browse files- README.md +1 -4
- croissant.json +44 -64
- data/nc_allowed/test-00000-of-00001.parquet +2 -2
- data/permissive/test-00000-of-00001.parquet +2 -2
README.md
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---
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language:
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- en
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- zh
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license:
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- cc-by-4.0
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- cc-by-nc-sa-4.0
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@@ -74,10 +73,8 @@ Each row has the following fields:
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| `item_id` | string | Source schematic identifier |
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| `source` | string | Source class (`qucs` / `kicad` / `myriadrf` / `m17` / `oresat`) |
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| `level` | string | One of `Component Understanding` / `Structural Understanding` / `Functional Understanding` / `Dynamic Reasoning` |
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| `task_id` | string | Internal task type (e.g. `existence`, `pin_to_net`, `counterfactual_plot_choice`); useful for fine-grained analysis |
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| `category` | string | Coarse-grained tag |
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| `question` | string | English prompt (what models are evaluated on) |
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| `question_zh` | string | Chinese translation (parallel; not used for evaluation) |
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| `image` | PIL.Image | Primary schematic rendering (`image.png`) |
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| `context_images` | list of `{caption, image}` | Auxiliary context images (Dynamic Reasoning only — schematic plus baseline / variant simulation plots) |
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| `options` | list of `{label, text, image}` | Multi-choice options (Dynamic Reasoning only). Some options have only `text`, others have both `text` and `image`. |
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@@ -121,7 +118,7 @@ For redistribution that requires fully permissive licensing, use only the `permi
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1. **Source-class size imbalance**: question counts per source class span 40–974; per-source claims should be reported with N.
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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.
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3. **Language**: questions are evaluated in English
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4. **Single-image protocol**: each question is paired with one primary schematic image (Dynamic Reasoning rows additionally provide context plots / option plots).
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5. **Anonymized release**: this submission account is for double-blind peer review. The dataset will be transferred to the official maintainer account upon acceptance.
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---
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language:
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- en
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license:
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- cc-by-4.0
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- cc-by-nc-sa-4.0
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| `item_id` | string | Source schematic identifier |
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| `source` | string | Source class (`qucs` / `kicad` / `myriadrf` / `m17` / `oresat`) |
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| `level` | string | One of `Component Understanding` / `Structural Understanding` / `Functional Understanding` / `Dynamic Reasoning` |
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| `category` | string | Coarse-grained tag |
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| `question` | string | English prompt (what models are evaluated on) |
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| `image` | PIL.Image | Primary schematic rendering (`image.png`) |
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| `context_images` | list of `{caption, image}` | Auxiliary context images (Dynamic Reasoning only — schematic plus baseline / variant simulation plots) |
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| `options` | list of `{label, text, image}` | Multi-choice options (Dynamic Reasoning only). Some options have only `text`, others have both `text` and `image`. |
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1. **Source-class size imbalance**: question counts per source class span 40–974; per-source claims should be reported with N.
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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.
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+
3. **Language**: questions are evaluated in English. (A Chinese parallel set was used internally during construction for human review but is not part of the released schema.)
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4. **Single-image protocol**: each question is paired with one primary schematic image (Dynamic Reasoning rows additionally provide context plots / option plots).
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5. **Anonymized release**: this submission account is for double-blind peer review. The dataset will be transferred to the official maintainer account upon acceptance.
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croissant.json
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"separator": "cr:separator",
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"source": "cr:source",
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"subField": "cr:subField",
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"transform": "cr:transform"
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},
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"@type": "sc:Dataset",
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"conformsTo": "http://mlcommons.org/croissant/1.0",
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"contentUrl": "data/permissive/test-00000-of-00001.parquet",
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"encodingFormat": "application/vnd.apache.parquet",
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"license": "https://creativecommons.org/licenses/by/4.0/",
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"sha256": "
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},
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{
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"@type": "cr:FileObject",
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"contentUrl": "data/nc_allowed/test-00000-of-00001.parquet",
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"encodingFormat": "application/vnd.apache.parquet",
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"license": "https://creativecommons.org/licenses/by-nc-sa/4.0/",
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"sha256": "
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}
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],
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"recordSet": [
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}
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}
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},
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{
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"@type": "cr:Field",
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"@id": "permissive/task_id",
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"name": "task_id",
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"description": "Internal task type (e.g. existence, pin_to_net, counterfactual_plot_choice)",
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"dataType": "sc:Text",
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"source": {
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"fileObject": {
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"@id": "permissive-parquet"
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},
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"extract": {
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"column": "task_id"
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{
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"@type": "cr:Field",
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"@id": "permissive/category",
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}
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}
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},
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{
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"@type": "cr:Field",
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"@id": "permissive/question_zh",
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"name": "question_zh",
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"description": "Chinese parallel translation",
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"dataType": "sc:Text",
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"source": {
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"fileObject": {
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"@id": "permissive-parquet"
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"extract": {
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"column": "question_zh"
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}
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{
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"@type": "cr:Field",
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"@id": "permissive/image",
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}
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}
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},
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{
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"@type": "cr:Field",
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"@id": "nc_allowed/task_id",
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"name": "task_id",
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"description": "Internal task type (e.g. existence, pin_to_net, counterfactual_plot_choice)",
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"dataType": "sc:Text",
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"source": {
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"fileObject": {
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"@id": "nc_allowed-parquet"
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"extract": {
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"column": "task_id"
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{
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"@type": "cr:Field",
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"@id": "nc_allowed/category",
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}
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}
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},
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{
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"@type": "cr:Field",
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"@id": "nc_allowed/question_zh",
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"name": "question_zh",
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"description": "Chinese parallel translation",
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"dataType": "sc:Text",
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"source": {
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"fileObject": {
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"@id": "nc_allowed-parquet"
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},
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"extract": {
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"column": "question_zh"
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{
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"@type": "cr:Field",
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"@id": "nc_allowed/image",
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"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.",
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"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.",
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"rai:personalSensitiveInformation": "None. The dataset contains schematic images from open-source hardware projects, with no personally identifiable information, biometric data, or sensitive content.",
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"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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}
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"separator": "cr:separator",
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"source": "cr:source",
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"subField": "cr:subField",
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"transform": "cr:transform",
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"prov": "http://www.w3.org/ns/prov#",
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"wasDerivedFrom": "prov:wasDerivedFrom",
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"wasGeneratedBy": "prov:wasGeneratedBy"
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},
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"@type": "sc:Dataset",
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"conformsTo": "http://mlcommons.org/croissant/1.0",
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"contentUrl": "data/permissive/test-00000-of-00001.parquet",
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"encodingFormat": "application/vnd.apache.parquet",
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"license": "https://creativecommons.org/licenses/by/4.0/",
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"sha256": "8bb150251f50574342264ae3a973aff0d7fa74f8d6a9192bbd20ea7df468d866"
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},
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{
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"@type": "cr:FileObject",
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"contentUrl": "data/nc_allowed/test-00000-of-00001.parquet",
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"encodingFormat": "application/vnd.apache.parquet",
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"license": "https://creativecommons.org/licenses/by-nc-sa/4.0/",
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"sha256": "4b1f90bf3436d76c1d95792e536f64fd0723bd5a1b97e52c0c923b9b9703d9c2"
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"recordSet": [
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{
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"@type": "cr:Field",
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"@id": "permissive/category",
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}
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}
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},
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{
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"@type": "cr:Field",
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"@id": "permissive/image",
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}
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{
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"@type": "cr:Field",
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"@id": "nc_allowed/category",
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}
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}
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},
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{
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"@type": "cr:Field",
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"@id": "nc_allowed/image",
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"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.",
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"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.",
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"rai:personalSensitiveInformation": "None. The dataset contains schematic images from open-source hardware projects, with no personally identifiable information, biometric data, or sensitive content.",
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"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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"rai:hasSyntheticData": false,
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"prov:wasDerivedFrom": [
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{
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"@type": "sc:Dataset",
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"name": "Qucs-S example library (RF subset)",
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"description": "Educational RF circuit examples shipped with Qucs-S; rendered to PNG via Qucs native renderer.",
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"url": "https://github.com/ra3xdh/qucs_s"
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},
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{
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"@type": "sc:Dataset",
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"name": "KiCad public RF schematic projects",
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"description": "Curated set of public GitHub KiCad projects with RF subsystems; rendered to PNG via KiCad CLI."
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},
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{
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"@type": "sc:Dataset",
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"name": "MyriadRF / LimeSDR hardware schematics",
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"description": "Professional SDR board schematics released by Lime Microsystems and the MyriadRF community.",
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"url": "https://github.com/myriadrf"
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},
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{
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"@type": "sc:Dataset",
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"name": "M17 Project digital radio hardware",
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"description": "Open-source digital radio community hardware schematics (CC-BY-NC-SA-4.0 — used in nc_allowed config only).",
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"url": "https://github.com/M17-Project"
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},
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{
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"@type": "sc:Dataset",
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"name": "OreSat satellite GPS module",
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"description": "OreSat space hardware schematics covering RF / GPS subsystems.",
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"url": "https://github.com/oresat"
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}
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],
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"prov:wasGeneratedBy": {
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"@type": "prov:Activity",
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"name": "RFSchemBench construction pipeline",
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"description": "(1) Schematic source files from open-source repos rendered to PNG via KiCad CLI / Qucs native; (2) Page-level RF-relevance gate (Qwen3.6, used only as filter, not for gold answers); (3) Domain-expert-authored Python rules (`qa_pipelines/<source>/build_tier{1..4}_question_bank.py`) deterministically extract structured ground truth from KiCad netlist / Qucs schematic graph / ngspice simulation outputs and emit (question, gold) tuples; (4) Iterative rule refinement: experts review samples and patch rules upon discovering systematic errors."
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}
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}
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data/nc_allowed/test-00000-of-00001.parquet
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version https://git-lfs.github.com/spec/v1
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data/permissive/test-00000-of-00001.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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