electricsheepafrica/africa-tunisia-les-usagers-des-bibliotheques-publiques-de-sousse-de-lanne-cfc77d41

Les usagers des bibliothèques publiques de Sousse de l’année 2021 à l’année 2024 | Africa (Tunisia official open data)

22 rows - 1 Africa country - 2021-2024 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official CSV resource from Tunisia as ML-ready Parquet. The source file is the provenance boundary; all usable indicators or tabular columns from the resource stay together in this repo.

About the source

• Source: Les usagers des bibliothèques publiques de Sousse de l’année 2021 à l’année 2024
• Publisher: Minstère des affaires culturelles
• Resource: Les usagers des bibliothèques publiques de Sousse de l’année 2021 à l’année 2024
• Format: CSV
• License: Other open license
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
TUN	22	2021	2024	Tunisia

Indicators or Resource Contents

• This source file is packaged as a normalized tabular resource.

Schema

Column	Type	Description	Example
source_record_id	string	Stable row identifier for tabular resources.	3d24526b-8ef0-4a72-8ec8-75087bea6ed5:0
country_iso3	string	ISO3 country code.	TUN
country_name	string	Country name.	Tunisia
bibliotheques	string	Source column.	Bibliothèque régionale Sousse
nb_fond_livre_2021	int64	Source column.	0
nb_adherents_2021	int64	Source column.	0
nb_lecteurs_2021	int64	Source column.	0
nb_emprunteurs_2021	int64	Source column.	0
nb_fond_livre_2022	int64	Source column.	0
nb_adherents_2022	int64	Source column.	0
nb_lecteurs_2022	int64	Source column.	0
nb_emprunteurs_2022	int64	Source column.	0
nb_fond_livre_2023	int64	Source column.	39694
nb_adherents_2023	int64	Source column.	1462
nb_lecteurs_2023	int64	Source column.	5963
nb_emprunteurs_2023	int64	Source column.	1227
nb_fond_livre_2024	int64	Source column.	39694
nb_adherents_2024	int64	Source column.	1329
nb_lecteurs_2024	int64	Source column.	9902
nb_emprunteurs_2024	int64	Source column.	2276
source_period_start_year	Int64	First year inferred from source resource metadata.	2021
source_period_end_year	Int64	Last year inferred from source resource metadata.	2024
source_period_label	string	Human-readable period inferred from source resource metadata.	2021-2024
source_provider	string	Publishing organization.	Minstère des affaires culturelles
source_dataset	string	Source package title.	Les usagers des bibliothèques publiques de Sousse de l’année 2021 à l’an
source_resource	string	Source resource title.	Les usagers des bibliothèques publiques de Sousse de l’année 2021 à l’an
source_package_id	string	CKAN package UUID.	c6470c98-4c9e-45bf-9462-1b64a1e21585
source_resource_id	string	CKAN resource UUID.	3d24526b-8ef0-4a72-8ec8-75087bea6ed5
source_url	string	Original source resource URL.	http://www.openculture.gov.tn/dataset/d90fec62-e6b8-4db2-90ee-a1d000e2c3
license_id	string	Source license identifier.	other-open
retrieved_at	string	UTC retrieval timestamp.	2026-07-18T23:08:36Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-tunisia-les-usagers-des-bibliotheques-publiques-de-sousse-de-lanne-cfc77d41")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "TUN"]

Work with indicators

if "indicator_id" in df.columns:
    print(df["indicator_id"].value_counts().head())
    sample = df.sort_values([c for c in ["indicator_id", "year"] if c in df.columns])

Citation

@misc{electric_sheep_africa_africa_tunisia_les_usagers_des_bibliotheques_publiques_de_sousse_de_lanne_cfc77d_2024,
  title        = {Les usagers des bibliothèques publiques de Sousse de l’année 2021 à l’année 2024 | Africa (Tunisia official open data)},
  author       = {Minstère des affaires culturelles},
  year         = {2024},
  url          = {https://catalog.data.gov.tn/dataset/usagers-des-bibliotheques-publiques-crac-sousse-2021-2024-fr},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-tunisia-les-usagers-des-bibliotheques-publiques-de-sousse-de-lanne-cfc77d41}}
}

License

Released under Other open license.

Original data (c) Minstère des affaires culturelles. When using this dataset, please cite both the original source above and the Electric Sheep Africa repackaging.

About Electric Sheep

Electric Sheep Africa is part of the Electric Sheep mission: a unified, ML-ready data layer for Africa on Hugging Face. We pull data from authoritative open sources, normalize the schemas, package as Parquet, and publish with consistent dataset cards so researchers and developers can use load_dataset() to start working in seconds.

Browse the full collection: huggingface.co/electricsheepafrica

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Provenance: ingested 2026-07-19 via the Electric Sheep pipeline. Source URL: http://www.openculture.gov.tn/dataset/d90fec62-e6b8-4db2-90ee-a1d000e2c3c3/resource/c33de6f7-8df1-4b81-907a-2b6dd6c1c115/download/usagers-des-bibliotheques-publiques-crac-sousse-2021-2024-fr.csv