| --- |
| license: gpl-3.0 |
| language: |
| - en |
| - fr |
| pretty_name: "Ailiance — KiCad 9+ Schematic Corpus (Copyleft)" |
| task_categories: |
| - text-generation |
| tags: |
| - kicad |
| - eda |
| - schematic |
| - s-expression |
| - electronics |
| - hardware |
| - copyleft |
| - ailiance |
| size_categories: |
| - n<1K |
| --- |
| |
| # Ailiance — KiCad 9+ Schematic Corpus (Copyleft) |
|
|
| > 🇫🇷 **Ailiance** — curated by Ailiance for production deployment ; co-published with the upstream [`electron-rare/kicad9plus-copyleft`](https://huggingface.co/datasets/Ailiance-fr/kicad9plus-copyleft). 🇪🇺 Compatible EU AI Act (Template AI Office, July 2025). |
|
|
| Corpus de 209 schémas KiCad 9+ (`.kicad_sch`, format S-expression, version ≥ 20240722) collectés sous licences **copyleft / réciproques fortes** (GPL-3.0, CERN-OHL-S-2.0, EUPL-1.2). Compatible GPL-3.0-or-later au niveau aggregé. Pensé pour l'entraînement de modèles open-source soumis aux mêmes obligations de réciprocité. |
|
|
| ## Statistics |
|
|
| | Métrique | Valeur | |
| |------------------|-------------------| |
| | Total samples | **209** | |
| | Size | ~2.1 MB JSONL (raw `.kicad_sch` ≈ 38 MB before chat-format wrapping) | |
| | Format | JSONL chat format (`messages` array, user/assistant) | |
| | Languages | French + English | |
| | Aggregate license| **GPL-3.0-or-later** | |
|
|
| ## Composition |
|
|
| **Copyleft / strong reciprocal licenses only**: GPL-3.0 (169), CERN-OHL-S-2.0 (36), EUPL-1.2 (4). |
|
|
| Copyleft split of the original `electron-rare/kicad9plus-sch-corpus` (now deprecated). L'aggregé est re-licencié sous **GPL-3.0-or-later**, le plus restrictif des inputs (CERN-OHL-S-2.0 et EUPL-1.2 sont explicitement compatibles avec GPL-3.0+ via FSF / EUPL appendix interoperability). |
|
|
| Pour les samples permissifs (Apache-2.0, MIT, CC0-1.0, CERN-OHL-P-2.0) : voir [`Ailiance-fr/kicad9plus-permissive`](https://huggingface.co/datasets/Ailiance-fr/kicad9plus-permissive). |
|
|
| ## EU AI Act compliance (Template AI Office, July 2025) |
|
|
| ### General information |
| - **Name**: kicad9plus-sch-corpus (copyleft 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. **Les modèles entraînés sur ce dataset doivent respecter les obligations GPL-3.0-or-later** (disclosure des poids, des données dérivées d'entraînement, et du code d'inférence si redistribué). |
|
|
| ### 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 detection of GPL-3.0, CERN-OHL-S-2.0, EUPL-1.2 |
| - 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**: 209 samples, ~2.1 MB JSONL (raw `.kicad_sch` totals ~38 MB before chat-format wrapping) |
| - **License mix (input)**: |
| - GPL-3.0: 169 samples (80.9%) |
| - CERN-OHL-S-2.0: 36 (17.2%) |
| - EUPL-1.2: 4 (1.9%) |
| - **KiCad version mix**: 20240819 / 20240910 / 20241004 / 20241209 (KiCad 9 dev), 20250114 (KiCad 9 stable), 20250227 / 20250318 / 20250610 / 20250829 / 20250901 / 20250922 / 20251012 / 20251028 (later 9.x), 20260101 / 20260306 (KiCad 10) |
| - **Source repos**: 9 distinct upstream projects (full list in `LICENSE_INVENTORY.md`); largest contributors are `jaguilar/kicad` (133) and `flaviens/kicad` (34) — both KiCad demo / fork repositories under GPL-3.0. |
|
|
| ## Sample format |
|
|
| Each line is a chat-format JSON object: |
|
|
| ```json |
| { |
| "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": "GPL-3.0", |
| "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 **GPL-3.0-or-later**. |
|
|
| Per-sample original licenses are **preserved in `metadata.license_spdx`** and listed in `LICENSE_INVENTORY.md`. Downstream users MUST preserve attribution per sample and comply with the strongest applicable copyleft term (GPL-3.0-or-later for the aggregate). |
| |
| Compatibility notes: |
| - **CERN-OHL-S-2.0 -> GPL-3.0+**: explicitly compatible (CERN-OHL-S §7 allows redistribution under GPL when combining with GPL works). |
| - **EUPL-1.2 -> GPL-3.0+**: compatible via the EUPL §5 / Appendix list (GPL-3.0 is a listed compatible licence). |
| - **GPL-3.0 -> GPL-3.0+**: trivially compatible. |
| |
| ## Copyright considerations |
| - All sources are public GitHub repositories under copyleft 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-copyleft`](https://huggingface.co/datasets/Ailiance-fr/kicad9plus-copyleft) under the same **GPL-3.0-or-later** 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`](https://github.com/ailiance/ailiance-bench/blob/main/docs/audit_kicad9plus.md) and the companion [`docs/audit_mascarade_se_attribution.md`](https://github.com/ailiance/ailiance-bench/blob/main/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](https://github.com/ailiance/ailiance-bench). |
| |
| ## License & EU AI Act |
| |
| **GPL-3.0-or-later**. 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](https://github.com/ailiance/ailiance-bench). |
| |
| Audit log: [`docs/audit_kicad9plus.md`](https://github.com/ailiance/ailiance-bench/blob/main/docs/audit_kicad9plus.md). |
| |
| ## Citation |
| |
| ```bibtex |
| @dataset{ailiance_kicad9plus_copyleft_2026, |
| author = {Ailiance}, |
| title = {{Ailiance — KiCad 9+ Schematic Corpus (Copyleft)}}, |
| year = {2026}, |
| publisher = {Hugging Face}, |
| license = {GPL-3.0-or-later}, |
| url = {https://huggingface.co/datasets/Ailiance-fr/kicad9plus-copyleft}, |
| note = {Co-published with upstream electron-rare/kicad9plus-copyleft} |
| } |
| |
| @dataset{electron_rare_kicad9plus_copyleft_2026, |
| author = {electron-rare}, |
| title = {{Upstream: kicad9plus-copyleft}}, |
| year = {2026}, |
| publisher = {Hugging Face}, |
| url = {https://huggingface.co/datasets/Ailiance-fr/kicad9plus-copyleft} |
| } |
| ``` |
| |
| ## Related datasets |
| |
| Ailiance dataset family (co-published with `electron-rare/*`): |
| |
| - [Ailiance-fr/kicad9plus-permissive](https://huggingface.co/datasets/Ailiance-fr/kicad9plus-permissive) — KiCad 9+ schematics, permissive subset |
| - [Ailiance-fr/kicad9plus-copyleft](https://huggingface.co/datasets/Ailiance-fr/kicad9plus-copyleft) — KiCad 9+ schematics, copyleft subset |
| - [Ailiance-fr/kill-life-embedded-qa](https://huggingface.co/datasets/Ailiance-fr/kill-life-embedded-qa) — Kill_LIFE embedded knowledge base |
| - [Ailiance-fr/mascarade-stm32-dataset](https://huggingface.co/datasets/Ailiance-fr/mascarade-stm32-dataset) — STM32 & ARM Cortex-M Q&A |
| - [Ailiance-fr/mascarade-spice-dataset](https://huggingface.co/datasets/Ailiance-fr/mascarade-spice-dataset) — SPICE & analog simulation Q&A |
| - [Ailiance-fr/mascarade-iot-dataset](https://huggingface.co/datasets/Ailiance-fr/mascarade-iot-dataset) — IoT & connected devices Q&A |
| - [Ailiance-fr/mascarade-embedded-dataset](https://huggingface.co/datasets/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](https://github.com/ailiance/ailiance-bench). |
| |
| 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](https://github.com/ailiance/ailiance-bench#scoreboard-lora-phase-6--2026-05-11). |
| |
| > **Note**: this corpus is GPL-3.0 (upstream KiCad library symbols). |
| > Use of derived models trained exclusively on this dataset must comply |
| > with GPL distribution requirements. |
| |
