---
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](https://www.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](https://www.etalab.gouv.fr/licence-ouverte-open-licence/) (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:

```python
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](https://www.data.gouv.fr/) under the **Licence Ouverte Etalab 2.0**.
© Direction de l'information légale et administrative (DILA) — Premier ministre.