docs: update dataset card with 4 daily sources and full schema

README.md

@@ -7,6 +7,8 @@ tags:
   - french-law
   - embeddings
   - legifrance
+  - judilibre
+  - circulaires
   - mistral
 size_categories:
   - 10K<n<100K
@@ -31,32 +33,86 @@ configs:
 
 # Open Codes
 
-Open dataset of French legal code articles with embeddings.
+Open dataset of French legal texts with semantic embeddings, updated daily from 4 official sources.
 
-Chunked articles from French legal codes sourced from
-[Legifrance](https://www.legifrance.gouv.fr/) via the PISTE API,
+Chunked texts from French legal codes, court decisions, government circulars, and parliamentary Q&A,
 with 1024-dimensional embeddings generated by Mistral AI.
 
-Each row is a text chunk enriched with full article metadata from the parent
-legal code article.
+## Sources updated daily
+
+| Source | Description | Config | Volume |
+|--------|-------------|--------|--------|
+| **Codes** | 5 major legal codes from Legifrance | `default` | ~26K chunks |
+| **Decisions de justice** | Court decisions from Judilibre | `jurisprudence` | ~82K decisions |
+| **Circulaires** | Government circulars | `circulaires` | ~10K circulaires |
+| **Questions & Reponses** | Parliamentary Q&A (reponses ministerielles) | `reponses_legis` | ~40K reponses |
 
 ## Dataset Description
 
-- **Source**: [PISTE Legifrance API](https://piste.gouv.fr/) (official French government legal database)
+- **Sources**: [PISTE Legifrance API](https://piste.gouv.fr/), [Judilibre API](https://www.courdecassation.fr/acces-rapide-judilibre), [DILA JORF](https://journal-officiel.gouv.fr/)
 - **License**: [Licence Ouverte / Etalab 2.0](https://www.etalab.gouv.fr/licence-ouverte-open-licence/)
 - **Embeddings**: Mistral AI `mistral-embed` (1024 dimensions)
-- **Update frequency**: Daily (nightly sync at 02:00 UTC, dataset push at 06:00 UTC)
-- **Codes**: Dynamically sourced from `LEX_codes_piste` (active codes only)
+- **Update frequency**: Daily (nightly sync at 02:00 UTC, dataset push at 07:00 UTC)
 - **Quality**: Dedup + stale-chunk filtering applied before every push
 
-### Legal codes included
+### Legal codes included (default config)
+
+| Code | Domain |
+|------|--------|
+| Code civil | Core private law |
+| Code de l'urbanisme | Urban planning |
+| Code electoral | Electoral law |
+| Code general des collectivites territoriales | Local government |
+| Code des communes | Municipal law |
 
 The list of legal codes is dynamic and managed in the `LEX_codes_piste` table.
 Adding a new code there (with `actif=true`) automatically includes it in the next sync and export.
 
+## Usage
+
+```python
+from datasets import load_dataset
+
+# Load code articles (default config)
+codes = load_dataset("ArthurSrz/open_codes", split="train")
+
+# Load other sources
+jurisprudence = load_dataset("ArthurSrz/open_codes", "jurisprudence", split="train")
+circulaires = load_dataset("ArthurSrz/open_codes", "circulaires", split="train")
+reponses = load_dataset("ArthurSrz/open_codes", "reponses_legis", split="train")
+
+# Browse a chunk
+row = codes[0]
+print(row["code_name"])       # e.g. "Code civil"
+print(row["chunk_text"][:200])
+print(len(row["embedding"]))  # 1024
+
+# Convert dates from Unix ms to datetime
+from datetime import datetime, timezone
+date_debut = datetime.fromtimestamp(int(row["article_dateDebut"]) / 1000, tz=timezone.utc)
+print(date_debut)             # e.g. 2011-03-31 00:00:00+00:00
+
+# Use embeddings for semantic search
+import numpy as np
+query_emb = get_embedding("responsabilite civile")  # your embedding function
+scores = np.dot(np.array(codes["embedding"]), query_emb)
+top_k = np.argsort(scores)[-5:][::-1]
+for i in top_k:
+    print(f"{codes[i]['code_name']} {codes[i]['num']}: {codes[i]['chunk_text'][:100]}")
+```
+
 ## Schema
 
-### Chunk fields
+### Configs
+
+| Config | Description | Source |
+|--------|-------------|--------|
+| `default` | Code articles + chunks from Legifrance PISTE API | `REF_codes_legifrance` + `REF_article_chunks` |
+| `jurisprudence` | Court decisions from Judilibre API | `REF_decisions_judilibre` + `REF_legal_chunks` |
+| `circulaires` | Government circulars | `REF_circulaires` + `REF_legal_chunks` |
+| `reponses_legis` | Parliamentary written answers | `REF_reponses_ministerial` + `REF_legal_chunks` |
+
+### Default config — Chunk fields
 | Column | Type | Description |
 |--------|------|-------------|
 | `chunk_text` | string | Text content of the chunk |
@@ -71,7 +127,7 @@ Adding a new code there (with `actif=true`) automatically includes it in the nex
 | `etat` | string | Article status (VIGUEUR, ABROGE, etc.) |
 | `fullSectionsTitre` | string | Full hierarchy path in the code |
 
-### Article metadata fields (prefixed `article_`)
+### Default config — Article metadata fields (prefixed `article_`)
 
 #### Identifiers
 | Column | Type | Description |
@@ -97,109 +153,72 @@ Adding a new code there (with `actif=true`) automatically includes it in the nex
 
 #### Dates & Status
 
-**Date format**: `article_dateDebut` and `article_dateFin` are stored as **Unix timestamps in milliseconds** (string type). This is the raw format returned by the Legifrance PISTE API.
-
-To convert to a human-readable date in Python:
-
-```python
-from datetime import datetime, timezone
-
-timestamp_ms = "1301529600000"
-dt = datetime.fromtimestamp(int(timestamp_ms) / 1000, tz=timezone.utc)
-print(dt)  # 2011-03-31 00:00:00+00:00
-```
-
-Special value: `32472144000000` (year 2999) means "no end date" — the article is in force indefinitely.
+**Date format**: `article_dateDebut` and `article_dateFin` are stored as **Unix timestamps in milliseconds** (string type). Special value: `32472144000000` (year 2999) means "no end date" — the article is in force indefinitely.
 
 | Column | Type | Description |
 |--------|------|-------------|
 | `article_dateDebut` | string | Effective start date (Unix ms) |
 | `article_dateFin` | string | Effective end date (Unix ms, `32472144000000` = indefinite) |
-| `article_dateDebutExtension` | string | Extension start date (Unix ms) |
-| `article_dateFinExtension` | string | Extension end date (Unix ms) |
 | `article_etat` | string | Status: `VIGUEUR` (in force), `ABROGE` (repealed), etc. |
-| `article_type_article` | string | Article type |
-| `article_nature` | string | Legal nature |
-| `article_origine` | string | Origin (e.g. `LEGI`) |
-| `article_version_article` | string | Version identifier |
-| `article_versionPrecedente` | string | Previous version ID |
-| `article_multipleVersions` | bool | Has multiple versions |
 
 #### Hierarchy
 | Column | Type | Description |
 |--------|------|-------------|
-| `article_sectionParentId` | string | Parent section ID |
-| `article_sectionParentCid` | string | Parent section consolidated ID |
-| `article_sectionParentTitre` | string | Parent section title |
 | `article_fullSectionsTitre` | string | Full hierarchy path |
-| `article_ordre` | int32 | Sort order within the code |
 | `article_partie` | string | Partie (e.g. "Partie legislative") |
 | `article_livre` | string | Livre |
 | `article_titre` | string | Titre |
 | `article_chapitre` | string | Chapitre |
 | `article_section` | string | Section |
 | `article_sous_section` | string | Sous-section |
-| `article_paragraphe` | string | Paragraphe |
 
-#### Extras
+### Jurisprudence config
 | Column | Type | Description |
 |--------|------|-------------|
-| `article_infosComplementaires` | string | Additional info (plain text) |
-| `article_infosComplementairesHtml` | string | Additional info (HTML) |
-| `article_conditionDiffere` | string | Deferred condition |
-| `article_infosRestructurationBranche` | string | Branch restructuring info |
-| `article_infosRestructurationBrancheHtml` | string | Branch restructuring (HTML) |
-| `article_renvoi` | string | Cross-references |
-| `article_comporteLiensSP` | bool | Contains SP links |
-| `article_idTechInjection` | string | Technical injection ID |
-| `article_refInjection` | string | Injection reference |
-| `article_numeroBo` | string | BO number |
-| `article_inap` | string | INAP code |
-
-## Configs
-
-| Config | Description | Source |
-|--------|-------------|--------|
-| `default` | Code articles + chunks from Legifrance PISTE API | `REF_codes_legifrance` + `REF_article_chunks` |
-| `jurisprudence` | Court decisions from Judilibre API | `REF_decisions_judilibre` + `REF_legal_chunks` |
-| `circulaires` | Government circulars | `REF_circulaires` + `REF_legal_chunks` |
-| `reponses_legis` | Parliamentary written answers | `REF_reponses_ministerial` + `REF_legal_chunks` |
-
-## Usage
-
-```python
-from datasets import load_dataset
-from datetime import datetime, timezone
-
-# Load default config (code articles)
-ds = load_dataset("ArthurSrz/open_codes", split="train")
-
-# Load jurisprudence config (court decisions)
-juris = load_dataset("ArthurSrz/open_codes", "jurisprudence", split="train")
-
-# Access a chunk with its embedding and article metadata
-row = ds[0]
-print(row["code_name"])                # e.g. "Code civil"
-print(row["chunk_text"][:200])
-print(len(row["embedding"]))           # 1024
-
-# Convert dates from Unix ms to datetime
-date_debut = datetime.fromtimestamp(int(row["article_dateDebut"]) / 1000, tz=timezone.utc)
-print(date_debut)                      # e.g. 2011-03-31 00:00:00+00:00
-
-# Filter by legal code
-code_civil = ds.filter(lambda x: x["code_name"] == "Code civil")
-
-# Filter active articles only
-en_vigueur = ds.filter(lambda x: x["article_etat"] == "VIGUEUR")
-
-# Use embeddings for semantic search
-import numpy as np
-query_emb = np.array(ds[0]["embedding"])
-```
+| `chunk_text` | string | Decision text chunk |
+| `embedding` | float32[1024] | Mistral AI embedding vector |
+| `source_id` | string | Judilibre decision ID |
+| `chunk_index` | int32 | Chunk position |
+| `jurisdiction` | string | Court (e.g. Cour de cassation) |
+| `chamber` | string | Chamber |
+| `date_decision` | string | Decision date |
+| `solution` | string | Decision outcome |
+| `fiche_arret` | string | Case summary |
+| `url_judilibre` | string | Judilibre URL |
+
+### Circulaires config
+| Column | Type | Description |
+|--------|------|-------------|
+| `chunk_text` | string | Circular text chunk |
+| `embedding` | float32[1024] | Mistral AI embedding vector |
+| `source_id` | string | Circulaire ID |
+| `chunk_index` | int32 | Chunk position |
+| `numero` | string | Circular number |
+| `date_parution` | string | Publication date |
+| `ministere` | string | Issuing ministry |
+| `objet` | string | Subject |
+| `url_legifrance` | string | Legifrance URL |
+
+### Reponses legis config
+| Column | Type | Description |
+|--------|------|-------------|
+| `chunk_text` | string | Answer text chunk |
+| `embedding` | float32[1024] | Mistral AI embedding vector |
+| `source_id` | string | Reponse ID |
+| `chunk_index` | int32 | Chunk position |
+| `numero_question` | string | Question number |
+| `date_reponse` | string | Answer date |
+| `ministere` | string | Answering ministry |
+| `question_text` | string | Original question |
+| `url_legifrance` | string | Legifrance URL |
 
 ## Provenance
 
 Built by the [marIAnne](https://github.com/ArthurSrz/open_codes) project.
-Sync pipeline fetches articles nightly from PISTE Legifrance, chunks them,
-and generates embeddings via Mistral AI.
+
+- Legal codes & circulaires: [PISTE / Legifrance](https://piste.gouv.fr/)
+- Jurisprudence: [Judilibre / Cour de cassation](https://www.courdecassation.fr/acces-rapide-judilibre)
+- Reponses ministerielles: [DILA / Journal officiel](https://journal-officiel.gouv.fr/)
+- Embeddings: [Mistral AI](https://mistral.ai/)
+- Backend: [Xano](https://www.xano.com/)
+- Dataset hosting: [HuggingFace Hub](https://huggingface.co/)