|
Download README.md from SpadaLab/README: direct link, hf CLI and curl.
- Browser
- Download file 2.47 kB
-
https://huggingface.co/SpadaLab/README/resolve/main/README.md
- Command line
-
hf download hf://SpadaLab/README/README.md
-
curl -L -o README.md https://huggingface.co/SpadaLab/README/resolve/main/README.md
2.47 kB
| license: mit | |
| language: | |
| - en | |
| - fr | |
| tags: | |
| - legal | |
| - french-law | |
| - datasets | |
| - rag | |
| - vector-search | |
| - compliance | |
| - micro-entrepreneurs | |
| pretty_name: SpadaLab | |
| # SpadaLab | |
| **French legal datasets, curated for AI builders.** | |
| SpadaLab produces **vector-ready French legal datasets** for builders of legal AI assistants, RAG pipelines, and decision-support tools — with a focus on the realities of **micro-entrepreneurs** and **regulated professions**. | |
| 🇫🇷 *SpadaLab produit des datasets juridiques francais prets a vectoriser pour les developpeurs d'assistants IA, pipelines RAG et outils d'aide a la decision.* | |
| --- | |
| ## Why SpadaLab | |
| French micro-entrepreneurs and small business owners face a wall of legal complexity (URSSAF, RGPD, accessibility, food safety, trade regulations…) — most of it scattered across Legifrance and EU CELLAR in formats that don't fit modern AI pipelines. | |
| We curate, clean, and chunk this content into **production-ready datasets** that any team can drop into their vector store of choice (Qdrant, Weaviate, pgvector, etc.) — **no embedding lock-in**. | |
| ## What we ship | |
| Four commercial packs (launching May 2026) : | |
| | Pack | Coverage | Format | | |
| |---|---|---| | |
| | **Micro-Entrepreneur Complet** | 7 collections : CGI, LPF, Code commerce, Conso, Securite sociale, CNIL, RGPD | JSON / Parquet | | |
| | **Artisanat Reglemente** | Code de l'artisanat + LODA related | JSON / Parquet | | |
| | **HACCP & Hygiene Alimentaire** | EU Reg. 178/2002, 852/2004, 853/2004 + LODA | JSON / Parquet | | |
| | **Accessibilite PMR** | LODA accessibility (ERP, batiments) | JSON / Parquet | | |
| **Format** : pre-chunked text + metadata + Gebru-style datasheets. **No embeddings included by default** — you bring your own model (avoids OpenAI lock-in). | |
| **Sample datasets** (CC BY-NC 4.0) and **gated full datasets** (custom commercial license) will be published here. | |
| ## How we work | |
| - **Source-of-truth-only** : Legifrance PISTE Production API + EU CELLAR (not scraped websites) | |
| - **Reproducible pipelines** : every dataset shipped with manifest, SHA-256 hashes, ingestion scripts | |
| - **Versioned** : semantic versioning per dataset, transparent changelog | |
| - **Local-first AI** : built using on-premise models (Ollama) where appropriate | |
| ## Stay in touch | |
| - Email : `contact@spadalab.fr` | |
| - Website : *coming soon* | |
| - Datasets marketplace : also available on Datarade *(coming soon)* | |
| --- | |
| *SpadaLab is a French micro-enterprise (SIREN 103 696 993) based in France.* | |