electricsheepafrica/africa-tunisia-repartition-des-ressources-humaines-du-commissariat-region-fb72a0d7

Répartition des ressources humaines du commissariat régional des affaires culturelles de Ben Arous 2024 | Africa (Tunisia official open data)

7 rows - 1 Africa country - 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: Répartition des ressources humaines du commissariat régional des affaires culturelles de Ben Arous 2024
• Publisher: Minstère des affaires culturelles
• Resource: Ressources humaines CRAC Ben Arous 2024
• Format: CSV
• License: Other open license
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
TUN	7	2024	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.	c023846d-c3e9-4725-be58-d0952c1aee01:0
country_iso3	string	ISO3 country code.	TUN
country_name	string	Country name.	Tunisia
year	Int64	Observation year.	2024
nom	string	Source column.	Commissariat ben Arous
nbre_cadres	int64	Source column.	14
nbre_agents	int64	Source column.	3
nbre_ouvriers	int64	Source column.	5
nbre_animateurs	int64	Source column.	5
nbre_ouvriers_vacataires	int64	Source column.	0
source_period_start_year	Int64	First year inferred from source resource metadata.	2024
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.	2024
source_provider	string	Publishing organization.	Minstère des affaires culturelles
source_dataset	string	Source package title.	Répartition des ressources humaines du commissariat régional des affaire
source_resource	string	Source resource title.	Ressources humaines CRAC Ben Arous 2024
source_package_id	string	CKAN package UUID.	3d8a3382-aa16-40e8-a32b-b9d504064677
source_resource_id	string	CKAN resource UUID.	c023846d-c3e9-4725-be58-d0952c1aee01
source_url	string	Original source resource URL.	http://www.openculture.gov.tn/dataset/cbf7daf2-d4f2-4aef-a3e1-fc244b07dd
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-repartition-des-ressources-humaines-du-commissariat-region-fb72a0d7")
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_repartition_des_ressources_humaines_du_commissariat_region_fb72a0_2024,
  title        = {Répartition des ressources humaines du commissariat régional des affaires culturelles de Ben Arous 2024 | Africa (Tunisia official open data)},
  author       = {Minstère des affaires culturelles},
  year         = {2024},
  url          = {https://catalog.data.gov.tn/dataset/etat-des-ressources-humaines-en-2024},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-tunisia-repartition-des-ressources-humaines-du-commissariat-region-fb72a0d7}}
}

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

---

Provenance: ingested 2026-07-19 via the Electric Sheep pipeline. Source URL: http://www.openculture.gov.tn/dataset/cbf7daf2-d4f2-4aef-a3e1-fc244b07ddc4/resource/a2fb41e1-c148-4af3-8520-ed7c68609aa3/download/ress-hum-ben-arous-juillet-2024.csv