electricsheepafrica/africa-tunisia-donnees-sur-les-adherents-des-clubs-specialises-des-maison-d08a73b4

Données sur les adhérents des clubs spécialisés des maisons de culture de Sousse pour les années 2021 au 2024. | Africa (Tunisia official open data)

9 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: Données sur les adhérents des clubs spécialisés des maisons de culture de Sousse pour les années 2021 au 2024.
• Publisher: Minstère des affaires culturelles
• Resource: Données sur les adhérents des clubs spécialisés des maisons de culture de Sousse pour les années 2021 au 2024
• Format: CSV
• License: Other open license
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
TUN	9	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.	5dbeb569-b25f-41e2-badd-23b676214c81:0
country_iso3	string	ISO3 country code.	TUN
country_name	string	Country name.	Tunisia
maisons_culture	string	Source column.	centre culturel sousse
nbr_clubs_2021	int64	Source column.	9
nbr_adherent_g_2021	int64	Source column.	31
nbr_adherent_f_2021	int64	Source column.	81
nbr_adherent_club_2021	int64	Source column.	134
nbr_clubs_2022	int64	Source column.	8
nbr_adherent_g_2022	int64	Source column.	89
nbr_adherent_f_2022	int64	Source column.	389
nbr_adherent_club_2022	int64	Source column.	478
nbr_clubs_2023	int64	Source column.	8
nbr_adherent_g_2023	int64	Source column.	45
nbr_adherent_f_2023	int64	Source column.	194
nbr_adherent_club_2023	int64	Source column.	239
nbr_clubs_2024	int64	Source column.	8
nbr_adherent_g_2024	int64	Source column.	45
nbr_adherent_f_2024	int64	Source column.	194
nbr_adherent_club_2024	int64	Source column.	239
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.	Données sur les adhérents des clubs spécialisés des maisons de culture d
source_resource	string	Source resource title.	Données sur les adhérents des clubs spécialisés des maisons de culture d
source_package_id	string	CKAN package UUID.	a56c9f9f-c2b6-41f8-b7ee-9454a54e6de5
source_resource_id	string	CKAN resource UUID.	5dbeb569-b25f-41e2-badd-23b676214c81
source_url	string	Original source resource URL.	http://www.openculture.gov.tn/dataset/bebd2560-7cd3-4af3-b50d-9ac7ebc246
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-donnees-sur-les-adherents-des-clubs-specialises-des-maison-d08a73b4")
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_donnees_sur_les_adherents_des_clubs_specialises_des_maison_d08a73_2024,
  title        = {Données sur les adhérents des clubs spécialisés des maisons de culture de Sousse pour les années 2021 au 2024. | Africa (Tunisia official open data)},
  author       = {Minstère des affaires culturelles},
  year         = {2024},
  url          = {https://catalog.data.gov.tn/dataset/nombres-adherents-des-clubs-sousse-2021-2024},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-tunisia-donnees-sur-les-adherents-des-clubs-specialises-des-maison-d08a73b4}}
}

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/bebd2560-7cd3-4af3-b50d-9ac7ebc24672/resource/d263bbec-7105-4b79-b7f1-731d5cd72fb7/download/3-nombres-adherents-des-clubs-sousse-2021-2024-fr.csv