README.md

metadata

language:
  - fr
license: etalab-2.0
task_categories:
  - question-answering
  - text-retrieval
tags:
  - french
  - administrative
  - government
  - legal
  - service-public
  - rag
pretty_name: Service-Public.fr — Fiches pratiques (vosdroits)
size_categories:
  - 1K<n<10K

Service-Public.fr — Fiches pratiques

Administrative knowledge base extracted from service-public.fr, the French government's official public service information website, maintained by the Direction de l'information légale et administrative (DILA).

Intended for use as context in RAG (Retrieval-Augmented Generation) pipelines for French administrative Q&A.

Dataset details

• Total records: 5,535
• Records with prose content (has_content = true): 3,055
• Average text length (content records): ~9,652 characters
• Language: French
• Last source update: see last_modified field per record
• License: Licence Ouverte Etalab 2.0 (equivalent to CC-BY)

Fields

Field	Type	Description
id	string	Fiche identifier (e.g. F1, F10004)
url	string	Canonical URL on service-public.fr
type	string	Publication type (see table below)
title	string	Full title of the fiche
description	string	Short summary (1–2 sentences)
subject	string	Broad subject area
theme	string	Navigation theme
audience	string	Target audience (Particuliers, Professionnels, etc.)
last_modified	string	Date of last significant update (YYYY-MM-DD)
legal_sources	string	Comma-separated Légifrance URLs underpinning the fiche
breadcrumb	list[string]	Navigation path from homepage to this fiche
text	string	Full fiche content as clean Markdown
char_count	int	Character count of text
has_content	bool	true for fiches with prose content; false for forms, simulators, online services, etc.

Publication types

Type	Count
Fiche d'information conditionnée	1486
Fiche Question-réponse conditionnée	1404
Formulaire	882
Téléservice	700
Modèle de document	329
Dossier	232
Outil de recherche	177
Simulateur	171
Recherche guidée	96
Fiche Comment faire si conditionné	21
Fiche avec liens externes	15
Theme	11
	5
Téléservice personnalisé sur SP	2
Accueil audience	1
Liste - Comment faire si	1
Liste - Question-réponse	1
Liste - Service en ligne	1

Filtering tip

For RAG or QA use, filter to records where has_content = true to exclude forms, online services, and simulators that contain no prose:

from datasets import load_dataset

ds = load_dataset("yssf-io/service-public")
fiches = ds["train"].filter(lambda r: r["has_content"])

Text format

The text field uses Markdown conventions:

• ## / ### headings for chapters and subchapters (titles are often phrased as questions)
• **bold** for emphasized terms
• > **À noter** / **Attention** / **À savoir** blockquotes for callouts and warnings
• Bullet lists for conditions, steps, and document requirements
• Conditional branches (e.g. different rules by company size or nationality) are preserved as nested headings

Source & license

Data sourced from the data.gouv.fr open data portal under the Licence Ouverte Etalab 2.0. © Direction de l'information légale et administrative (DILA) — Premier ministre.