Update dataset card

README.md

@@ -1,340 +1,62 @@
 ---
 license: etalab-2.0
 language:
-- fr
+  - fr
 tags:
-- legal
-- french-law
-- embeddings
-- legifrance
-- judilibre
-- circulaires
-- mistral
+  - legal
+  - french-law
+  - embeddings
+  - legifrance
+  - mistral
 size_categories:
-- 10K<n<100K
+  - 10K<n<100K
 configs:
-- config_name: circulaires
-  data_files:
-  - split: train
-    path: circulaires/train-*
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-- config_name: jurisprudence
-  data_files:
-  - split: train
-    path: jurisprudence/train-*
-- config_name: reponses_legis
-  data_files:
-  - split: train
-    path: reponses_legis/train-*
-dataset_info:
-- config_name: circulaires
-  features:
-  - name: chunk_text
-    dtype: string
-  - name: embedding
-    list: float32
-    length: 1024
-  - name: source_id
-    dtype: string
-  - name: chunk_index
-    dtype: int32
-  - name: numero
-    dtype: string
-  - name: date_parution
-    dtype: string
-  - name: ministere
-    dtype: string
-  - name: objet
-    dtype: string
-  - name: url_legifrance
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 564022
-    num_examples: 115
-  download_size: 519498
-  dataset_size: 564022
-- config_name: default
-  features:
-  - name: chunk_text
-    dtype: string
-  - name: embedding
-    list: float32
-    length: 1024
-  - name: id_legifrance
-    dtype: string
-  - name: code_name
-    dtype: string
-  - name: chunk_index
-    dtype: int32
-  - name: start_position
-    dtype: int32
-  - name: end_position
-    dtype: int32
-  - name: code
-    dtype: string
-  - name: num
-    dtype: string
-  - name: etat
-    dtype: string
-  - name: fullSectionsTitre
-    dtype: string
-  - name: article_id_legifrance
-    dtype: string
-  - name: article_code
-    dtype: string
-  - name: article_num
-    dtype: string
-  - name: article_cid
-    dtype: string
-  - name: article_idEli
-    dtype: string
-  - name: article_idEliAlias
-    dtype: string
-  - name: article_idTexte
-    dtype: string
-  - name: article_cidTexte
-    dtype: string
-  - name: article_texte
-    dtype: string
-  - name: article_texteHtml
-    dtype: string
-  - name: article_nota
-    dtype: string
-  - name: article_notaHtml
-    dtype: string
-  - name: article_surtitre
-    dtype: string
-  - name: article_historique
-    dtype: string
-  - name: article_dateDebut
-    dtype: string
-  - name: article_dateFin
-    dtype: string
-  - name: article_dateDebutExtension
-    dtype: string
-  - name: article_dateFinExtension
-    dtype: string
-  - name: article_etat
-    dtype: string
-  - name: article_type_article
-    dtype: string
-  - name: article_nature
-    dtype: string
-  - name: article_origine
-    dtype: string
-  - name: article_version_article
-    dtype: string
-  - name: article_versionPrecedente
-    dtype: string
-  - name: article_multipleVersions
-    dtype: bool
-  - name: article_sectionParentId
-    dtype: string
-  - name: article_sectionParentCid
-    dtype: string
-  - name: article_sectionParentTitre
-    dtype: string
-  - name: article_fullSectionsTitre
-    dtype: string
-  - name: article_ordre
-    dtype: int32
-  - name: article_partie
-    dtype: string
-  - name: article_livre
-    dtype: string
-  - name: article_titre
-    dtype: string
-  - name: article_chapitre
-    dtype: string
-  - name: article_section
-    dtype: string
-  - name: article_sous_section
-    dtype: string
-  - name: article_paragraphe
-    dtype: string
-  - name: article_infosComplementaires
-    dtype: string
-  - name: article_infosComplementairesHtml
-    dtype: string
-  - name: article_conditionDiffere
-    dtype: string
-  - name: article_infosRestructurationBranche
-    dtype: string
-  - name: article_infosRestructurationBrancheHtml
-    dtype: string
-  - name: article_renvoi
-    dtype: string
-  - name: article_comporteLiensSP
-    dtype: bool
-  - name: article_idTechInjection
-    dtype: string
-  - name: article_refInjection
-    dtype: string
-  - name: article_numeroBo
-    dtype: string
-  - name: article_inap
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 181131033
-    num_examples: 23360
-  download_size: 119905697
-  dataset_size: 181131033
-- config_name: jurisprudence
-  features:
-  - name: chunk_text
-    dtype: string
-  - name: embedding
-    list: float32
-    length: 1024
-  - name: source_id
-    dtype: string
-  - name: chunk_index
-    dtype: int32
-  - name: jurisdiction
-    dtype: string
-  - name: chamber
-    dtype: string
-  - name: date_decision
-    dtype: string
-  - name: solution
-    dtype: string
-  - name: fiche_arret
-    dtype: string
-  - name: url_judilibre
-    dtype: string
-  - name: zone
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 8210587
-    num_examples: 744
-  download_size: 5090893
-  dataset_size: 8210587
-- config_name: reponses_legis
-  features:
-  - name: chunk_text
-    dtype: string
-  - name: embedding
-    list: float32
-    length: 1024
-  - name: source_id
-    dtype: string
-  - name: chunk_index
-    dtype: int32
-  - name: numero_question
-    dtype: string
-  - name: date_reponse
-    dtype: string
-  - name: ministere
-    dtype: string
-  - name: question_text
-    dtype: string
-  - name: url_legifrance
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 24436913
-    num_examples: 3787
-  download_size: 19828616
-  dataset_size: 24436913
+  - config_name: default
+    data_files:
+      - split: train
+        path: data/train-*.parquet
+  - config_name: jurisprudence
+    data_files:
+      - split: train
+        path: jurisprudence/train-*.parquet
+  - config_name: circulaires
+    data_files:
+      - split: train
+        path: circulaires/train-*.parquet
+  - config_name: reponses_legis
+    data_files:
+      - split: train
+        path: reponses_legis/train-*.parquet
 ---
 
 # Open Codes
 
-Open dataset of French legal texts with semantic embeddings, updated daily from 4 official sources.
+Open dataset of French legal code articles with embeddings.
 
-Chunked texts from French legal codes, court decisions, government circulars, and parliamentary Q&A,
+Chunked articles from French legal codes sourced from
+[Legifrance](https://www.legifrance.gouv.fr/) via the PISTE API,
 with 1024-dimensional embeddings generated by Mistral AI.
 
-## Sources updated daily
-
-| Source | Description | Config | Volume |
-|--------|-------------|--------|--------|
-| **Codes** | 14 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 |
+Each row is a text chunk enriched with full article metadata from the parent
+legal code article.
 
 ## Dataset Description
 
-- **Sources**: [PISTE Legifrance API](https://piste.gouv.fr/), [Judilibre API](https://www.courdecassation.fr/acces-rapide-judilibre), [DILA JORF](https://journal-officiel.gouv.fr/)
+- **Source**: [PISTE Legifrance API](https://piste.gouv.fr/) (official French government legal database)
 - **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 07:00 UTC)
+- **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)
 - **Quality**: Dedup + stale-chunk filtering applied before every push
 
-### Legal codes included (default config)
-
-| Code | Domain |
-|------|--------|
-| Code civil | Core private law |
-| Code de commerce | Commercial law |
-| Code de la consommation | Consumer protection |
-| Code de la propriete intellectuelle | Intellectual property |
-| Code de la route | Traffic law |
-| Code de l'urbanisme | Urban planning |
-| Code de procedure civile | Civil procedure |
-| Code de procedure penale | Criminal procedure |
-| Code des communes | Municipal law |
-| Code des procedures civiles d'execution | Civil enforcement |
-| Code du travail | Labor law |
-| Code electoral | Electoral law |
-| Code general des collectivites territoriales | Local government |
-| Code penal | Criminal law |
+### Legal codes included
 
 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
 
-### 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
+### Chunk fields
 | Column | Type | Description |
 |--------|------|-------------|
 | `chunk_text` | string | Text content of the chunk |
@@ -349,7 +71,7 @@ for i in top_k:
 | `etat` | string | Article status (VIGUEUR, ABROGE, etc.) |
 | `fullSectionsTitre` | string | Full hierarchy path in the code |
 
-### Default config — Article metadata fields (prefixed `article_`)
+### Article metadata fields (prefixed `article_`)
 
 #### Identifiers
 | Column | Type | Description |
@@ -375,72 +97,109 @@ for i in top_k:
 
 #### Dates & Status
 
-**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.
+**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.
 
 | 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 |
 
-### Jurisprudence config
+#### Extras
 | Column | Type | Description |
 |--------|------|-------------|
-| `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 |
+| `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"])
+```
 
 ## Provenance
 
 Built by the [marIAnne](https://github.com/ArthurSrz/open_codes) project.
-
-- 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/)
+Sync pipeline fetches articles nightly from PISTE Legifrance, chunks them,
+and generates embeddings via Mistral AI.