---
language:
- fr
tags:
- france
- data-catalog
- data-gouv
- metadata
- open-data
- government
- etalab
- embeddings
pretty_name: Data.gouv.fr Datasets Catalog
size_categories:
- 10K<n<100K
license: etalab-2.0
configs:
- config_name: latest
  data_files: "data/data-gouv-datasets-catalog-latest/*.parquet"
  default: true
---

# 🇫🇷 Data.gouv.fr Datasets Catalog

This dataset contains a processed and embedded version of the **catalog of datasets published on [data.gouv.fr](https://www.data.gouv.fr)**, the French open data platform.
The dataset was published by data.gouv.fr on the [dedicated dataset page](https://www.data.gouv.fr/datasets/catalogue-des-donnees-de-data-gouv-fr/).

It includes rich metadata about each public dataset: title, URL, publisher organization, description, tags, licensing, update frequency, usage metrics, and more.
The dataset provides semantic-ready and structured for semantic indexing and retrieval. 

Each chunk has been embedded using the [BAAI/bge-m3](https://huggingface.co/BAAI/bge-m3) model, making this catalog ready for search, classification, or retrieval-augmented generation (RAG) pipelines.


## 🗂️ Dataset Contents

The dataset is provided in **Parquet format** and contains the following columns:

| Column Name                   | Type               | Description                                                               |
|------------------------------|-------------------|-----------------------------------------------------------------------------|
| `chunk_id`                   | `str`             | Unique source based identifier of the chunk                                 |
| `title`                      | `str`             | Title of the dataset.                                                       |
| `doc_id`                     | `str`             | Document identifier from the source site (slug).                            |
| `chunk_xxh64`                | `str`             | XXH64 hash of the `chunk_text` value.                                       |
| `acronym`                    | `str`             | Acronym of the dataset (if available).                                      |
| `url`                        | `str`             | URL of the dataset on data.gouv.fr.                                         |
| `organization`               | `str`             | Name of the associated organization.                                        |
| `organization_id`            | `str`             | Unique ID of the organization.                                              |
| `owner`                      | `str`             | Name of the dataset owner.                                                  |
| `owner_id`                   | `str`             | Unique ID of the dataset owner.                                             |
| `description`                | `str`             | Full description of the dataset.                                            |
| `frequency`                  | `str`             | Update frequency of the dataset.                                            |
| `license`                    | `str`             | License type (e.g. Etalab-2.0).                                             |
| `temporal_coverage_start`    | `str`             | Start of the temporal coverage (if applicable).                             |
| `temporal_coverage_end`      | `str`             | End of the temporal coverage (if applicable).                               |
| `spatial_granularity`        | `str`             | Spatial granularity level (e.g. country, region, etc.).                     |
| `spatial_zones`              | `str`             | Names of the spatial zone covered.                                          |
| `featured`                   | `bool`            | Whether the dataset is featured.                                            |
| `created_at`                 | `str`             | Dataset creation date (standard ISO 8601).                                  |
| `last_modified`              | `str`             | Last modification date (standard ISO 8601).                                 |
| `tags`                       | `str`             | Comma-separated list of tags associated with the dataset.                   |
| `archived`                   | `str`             | Whether the dataset is archived.                                            |
| `resources_count`            | `int`             | Total number of attached resources.                                         |
| `main_resources_count`       | `int`             | Number of primary resources.                                                |
| `resources_formats`          | `str`             | Formats used by the dataset's ressources (e.g., CSV, JSON, PDF)             |
| `harvest_backend`            | `str`             | Name of the harvest backend.                                                |
| `harvest_domain`             | `str`             | Domain source of the harvested dataset.                                     |
| `harvest_created_at`         | `str`             | Harvest creation date (standard ISO 8601).                                  |
| `harvest_modified_at`        | `str`             | Harvest last update date (standard ISO 8601).                               |
| `harvest_remote_url`         | `str`             | Remote source URL of the harvested dataset.                                 |
| `quality_score`              | `float`           | Quality score assigned by data.gouv.fr.                                     |
| `metric_discussions`         | `int`             | Number of discussions related to the dataset.                               |
| `metric_reuses`              | `int`             | Number of declared reuses.                                                  |
| `metric_reuses_by_months`    | `str`             | Monthly reuse statistics (as JSON string).                                  |
| `metric_followers`           | `int`             | Number of users following the dataset.                                      |
| `metric_followers_by_months` | `str`             | Monthly follower statistics (as JSON string or number).                     |
| `metric_views`               | `int`             | Number of views.                                                            |
| `metric_resources_downloads` | `float`           | Number of resource downloads.                                               |
| `chunk_text`                 | `str`             | Text used for semantic embedding (title + organization + cropped description).|
| `embeddings_bge-m3`          | `str` (stringified list) | Embedding of `chunk_text` using `BAAI/bge-m3`. Stored as JSON array string. |

---

## 🛠️ Data Processing Methodology

### 📥 1. Field Extraction

The original dataset was retrieved directly from the official [dedicated dataset page](https://www.data.gouv.fr/datasets/catalogue-des-donnees-de-data-gouv-fr/).
This dataset only includes data.gouv.fr datasets that have at least a 100 characters description to remove as much noise as possible from incomplete datasets.

### ✂️ 2. Text Chunking

The `chunk_text` field was created by combining the `title`, `organization` name, `description`. 

The `description` was cropped to a maximum length of +- 1000 characters.
The Langchain's `RecursiveCharacterTextSplitter` function was used to crop the description. 

The parameters used are : 
- `chunk_size` = 1000 (in order to limit as much noise as possible)
- `chunk_overlap` = 20
- `length_function` = len

Then, only the first splitted text was keeped. Which leads to have a cropped description of a maximum of +- 1000 characters.

### 🧠 3. Embedding Generation

Each `chunk_text` was embedded using the [**`BAAI/bge-m3`**](https://huggingface.co/BAAI/bge-m3) model. The resulting embedding vector is stored in the `embeddings_bge-m3` column as a **string**, but can easily be parsed back into a `list[float]` or NumPy array.

## 📌 Embeddings Notice
⚠️ The `embeddings_bge-m3` column is stored as a stringified list (e.g., `"[-0.03062629,-0.017049594,...]"`). 
To use it as a vector, you need to parse it into a list of floats or NumPy array. For example, if you want to load the dataset into a dataframe by using the `datasets` library:

```python
import pandas as pd
import json
from datasets import load_dataset
# The Pyarrow library must be installed in your Python environment for this example. By doing => pip install pyarrow

dataset = load_dataset("AgentPublic/data-gouv-datasets-catalog")
df = pd.DataFrame(dataset['train'])
df["embeddings_bge-m3"] = df["embeddings_bge-m3"].apply(json.loads)
```

Otherwise, if you have already downloaded all parquet files from the `data/data-gouv-datasets-catalog-latest/` folder : 
```python
import pandas as pd
import json
# The Pyarrow library must be installed in your Python environment for this example. By doing => pip install pyarrow

df = pd.read_parquet(path="data-gouv-datasets-catalog-latest/") # Assuming that all parquet files are located into this folder
df["embeddings_bge-m3"] = df["embeddings_bge-m3"].apply(json.loads)
```

You can then use the dataframe as you wish, such as by inserting the data from the dataframe into the vector database of your choice.

## 🐱 GitHub repository : 
The project MediaTech is open source ! You are free to contribute or see the complete code used to build the dataset by checking the [GitHub repository](https://github.com/etalab-ia/mediatech)

## 📚 Source & License

### 🔗 Source :

- [Data.gouv.fr : Catalogue des données de data.gouv.fr](https://www.data.gouv.fr/datasets/catalogue-des-donnees-de-data-gouv-fr/) 

### 📄 Licence :
**Open License (Etalab)** — This dataset is publicly available and can be reused under the conditions of the Etalab open license.