Ailiance-fr/kicad9plus-permissive

Ailiance — KiCad 9+ Schematic Corpus (Permissive)

🇫🇷 Ailiance — curated by Ailiance for production deployment ; co-published with the upstream electron-rare/kicad9plus-permissive. 🇪🇺 Compatible EU AI Act (Template AI Office, July 2025).

Corpus de 98 schémas KiCad 9+ (.kicad_sch, format S-expression, version ≥ 20240722) collectés sous licences permissives uniquement (Apache-2.0, MIT, CC0-1.0, CERN-OHL-P-2.0). Pensé pour l'entraînement et le fine-tuning de modèles de génération de schémas EDA.

Statistics

Métrique	Valeur
Total samples	98
Size	~1.2 MB JSONL (raw .kicad_sch ≈ 21 MB before chat-format wrapping)
Format	JSONL chat format (messages array, user/assistant)
Languages	French + English
Aggregate license	CC-BY-SA-4.0

Composition

Permissive licenses only: Apache-2.0 (74), MIT (20), CC0-1.0 (3), CERN-OHL-P-2.0 (1).

Permissive split of the original electron-rare/kicad9plus-sch-corpus (now deprecated). Le split a été réalisé après audit légal montrant l'incompatibilité CC-BY-SA-4.0 avec les entrées GPL-3 / CERN-OHL-S (compatibilité à sens unique : CC-BY-SA-4.0 → GPLv3, jamais l'inverse).

Pour les samples copyleft (GPL-3.0, CERN-OHL-S-2.0, EUPL-1.2) : voir Ailiance-fr/kicad9plus-copyleft.

EU AI Act compliance (Template AI Office, July 2025)

General information

• Name: kicad9plus-sch-corpus (permissive subset)
• Modality: text (KiCad S-expression source)
• Languages: English (technical), French (some title-block descriptions)
• Intended use: entraînement / fine-tuning de modèles de génération de schémas KiCad 9 / KiCad 10

Data sources

Publicly available datasets: None.

Web scraping: Yes — public GitHub repositories.

• Discovery method: gh search code "(kicad_sch (version 202X)" extension:kicad_sch
• Filtering: SPDX license whitelist (Apache-2.0, MIT, CC0-1.0, CERN-OHL-P-2.0)
• Per-sample provenance: see metadata.source_url, metadata.commit_sha, metadata.repo

Licensed data: None (no commercial / proprietary licenses).

Data processing

• Sparse-clone with gh repo clone --depth 1
• Per-file .meta.json sidecar with source_url, commit_sha, license_spdx, kicad_version
• Deduplication via SHA-256 of file contents
• Truncation at 8 KB to fit training context (marked in metadata when applicable)
• Validation via kicad-cli sch erc --format json --severity-all (99.6% pass rate on tested subset)
• All processing scripts available at https://github.com/ailiance/ailiance-bench/tree/main/scripts

Data characteristics

• Size: 98 samples, ~1.2 MB JSONL (raw .kicad_sch totals ~21 MB before chat-format wrapping)
• License mix (input):
  • Apache-2.0: 74 samples (75.5%)
  • MIT: 20 (20.4%)
  • CC0-1.0: 3 (3.1%)
  • CERN-OHL-P-2.0: 1 (1.0%)
• KiCad version mix: 20250114 (KiCad 9 stable), 20250316, 20250610 (KiCad 9.0.1), 20260101 / 20260301 / 20260306 (KiCad 10)
• Source repos: 9 distinct upstream projects (full list in LICENSE_INVENTORY.md)

Sample format

Each line is a chat-format JSON object:

{
  "messages": [
    {"role": "user", "content": "Generate a KiCad 9 schematic (titled '...', by ..., N components, libraries: ...). Use the standard S-expression format starting with `(kicad_sch ...)`."},
    {"role": "assistant", "content": "(kicad_sch\n\t(version 20250114)\n\t..."}
  ],
  "metadata": {
    "repo": "owner/name",
    "rel_path": "path/to/file.kicad_sch",
    "source_url": "https://github.com/owner/name/blob/<sha>/path/to/file.kicad_sch",
    "commit_sha": "<git sha>",
    "license_spdx": "Apache-2.0",
    "kicad_version": "20250114",
    "file_sha256": "<content sha>",
    "file_size_bytes": 12345,
    "downloaded_at": "2026-05-11T...",
    "compliance_notes": "...",
    "ia_act_status": "requires_review"
  }
}

Licenses applied

This dataset (the aggregated work) is released under CC-BY-SA-4.0.

Per-sample original licenses are preserved in metadata.license_spdx and listed in LICENSE_INVENTORY.md. Downstream users MUST preserve attribution per sample.

Apache-2.0 patent grant (§3) does NOT transfer through CC-BY-SA-4.0 — downstream users wishing to claim those grants must refer to the original sources.

Copyright considerations

• All sources are public GitHub repositories under permissive licenses.
• The .kicad_sch files are treated as software source under their original licenses.
• Opt-out mechanism: contact c.saillant@gmail.com (Ailiance) to remove specific samples; nous respectons l'Article 4(3) de la directive DSM (TDM reservations).
• Reservations of rights: nous honorons robots.txt, les meta tags HTML noai / noimageai, et le protocole TDM Reservation Protocol (TDMRep) quand discoverable sur les repos sources.

Pipeline reproducibility

See https://github.com/ailiance/ailiance-bench/tree/main/scripts:

• kicad9plus_pipeline.sh, build_kicad9plus_dataset.py
• Original audit: https://github.com/ailiance/ailiance-bench/blob/main/docs/audit_kicad9plus.md

Provenance & upstream attribution

This dataset is co-published with electron-rare/kicad9plus-permissive under the same CC-BY-SA-4.0 license. Original collection, curation, and pipeline tooling: electron-rare (upstream contributor). Production maintenance, EU AI Act packaging, and downstream support: Ailiance (this org).

Audit log (legal attribution, EU AI Act July 2025 template alignment): see docs/audit_kicad9plus.md and the companion docs/audit_mascarade_se_attribution.md on GitHub.

About Ailiance

🇫🇷 Ailiance is a French AI organisation building EU-compliant resources for embedded systems and electronics design. Ailiance curates open datasets and fine-tuned models targeting:

• 🇪🇺 EU AI Act compliance (aligned with the GPAI Code of Practice signatories: Anthropic, Mistral, Google)
• ⚡ Electronics, embedded systems, hardware design
• 🔬 SPICE simulation, KiCad PCB / schematic, EDA workflows
• 🇫🇷 French + English technical content

Maintainer contact: c.saillant@gmail.com — see also the public bench/audit repo: electron-bench.

License & EU AI Act

CC-BY-SA-4.0. Données collectées et curées dans le cadre du projet electron-rare, packagées et maintenues par Ailiance pour déploiement production aligné EU AI Act.

Compatible EU AI Act : voir les signataires du GPAI Code of Practice (Anthropic, Mistral, Google) et la documentation transparence : electron-bench.

Audit log: docs/audit_kicad9plus.md.

Citation

@dataset{ailiance_kicad9plus_permissive_2026,
  author       = {Ailiance},
  title        = {{Ailiance — KiCad 9+ Schematic Corpus (Permissive)}},
  year         = {2026},
  publisher    = {Hugging Face},
  license      = {CC-BY-SA-4.0},
  url          = {https://huggingface.co/datasets/Ailiance-fr/kicad9plus-permissive},
  note         = {Co-published with upstream electron-rare/kicad9plus-permissive}
}

@dataset{electron_rare_kicad9plus_permissive_2026,
  author       = {electron-rare},
  title        = {{Upstream: kicad9plus-permissive}},
  year         = {2026},
  publisher    = {Hugging Face},
  url          = {https://huggingface.co/datasets/Ailiance-fr/kicad9plus-permissive}
}

Related datasets

Ailiance dataset family (co-published with electron-rare/*):

• Ailiance-fr/kicad9plus-permissive — KiCad 9+ schematics, permissive subset
• Ailiance-fr/kicad9plus-copyleft — KiCad 9+ schematics, copyleft subset
• Ailiance-fr/kill-life-embedded-qa — Kill_LIFE embedded knowledge base
• Ailiance-fr/mascarade-stm32-dataset — STM32 & ARM Cortex-M Q&A
• Ailiance-fr/mascarade-spice-dataset — SPICE & analog simulation Q&A
• Ailiance-fr/mascarade-iot-dataset — IoT & connected devices Q&A
• Ailiance-fr/mascarade-embedded-dataset — embedded systems generic Q&A

Used to train models evaluated in ailiance/ailiance-bench v0.2

This dataset contributes to training data for hardware-domain LoRA adapters benchmarked in the Ailiance bench suite.

Phase 6 scoreboard verdicts (7-task KiCad/SPICE evaluation):

• 🥇 eu-kiki: champion 4/7 tasks (DSL/PCB/SPICE/extract)
• 🥇 mascarade-embedded: champion P3 extraction (+48 pts)
• ⚠️ mascarade-kicad: catastrophic forgetting on SPICE/P2/P3

See full scoreboard: ailiance-bench README#scoreboard-lora-phase-6.