electricsheepafrica/africa-tunisia-rapport-annuel-sur-les-nombres-d-abonnes-dans-les-biblioth-f1fb4f20

Rapport annuel sur les nombres d'abonnes dans les bibliothèques publiques de Nabeul 2018 | Africa (Tunisia official open data)

26 rows - 1 Africa country - 2018 - 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: Rapport annuel sur les nombres d'abonnes dans les bibliothèques publiques de Nabeul 2018
• Publisher: Minstère des affaires culturelles
• Resource: Nombres d'abonnés dans les bibliothèques public de délégation régionale de la culture Nabeul 2018
• Format: CSV
• License: Other open license
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
TUN	26	2018	2018	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.	14bd4ff1-c66e-487b-a720-68199a1bde45:0
country_iso3	string	ISO3 country code.	TUN
country_name	string	Country name.	Tunisia
year	Int64	Observation year.	2018
nom	string	Source column.	Bibliothèque public de TAZERKA
enfants_f_2016	float64	Source column.	135.0
enfants_g_2016	float64	Source column.	228.0
jeunes_f_2016	float64	Source column.	60.0
jeunes_g_2016	float64	Source column.	177.0
adultes_f_2016	float64	Source column.	9.0
adultes_g_2016	float64	Source column.	10.0
total_2016	float64	Source column.	619.0
enfants_f_2017	float64	Source column.	128.0
enfants_g_2017	float64	Source column.	221.0
jeunes_f_2017	float64	Source column.	96.0
jeunes_g_2017	float64	Source column.	157.0
adultes_f_2017	float64	Source column.	7.0
adultes_g_2017	float64	Source column.	13.0
total_2017	float64	Source column.	622.0
enfants_g_2018	float64	Source column.	209.0
jeunes_f_2018	float64	Source column.	160.0
jeunes_g_2018	float64	Source column.	137.0
adultes_f_2018	float64	Source column.	43.0
adultes_g_2018	float64	Source column.	13.0
total_2018	float64	Source column.	5.0
unnamed_22	float64	Source column.	567.0
source_period_start_year	Int64	First year inferred from source resource metadata.	2018
source_period_end_year	Int64	Last year inferred from source resource metadata.	2018
source_period_label	string	Human-readable period inferred from source resource metadata.	2018
source_provider	string	Publishing organization.	Minstère des affaires culturelles
source_dataset	string	Source package title.	Rapport annuel sur les nombres d'abonnes dans les bibliothèques publique
source_resource	string	Source resource title.	Nombres d'abonnés dans les bibliothèques public de délégation régionale
source_package_id	string	CKAN package UUID.	8b708e2a-3595-4915-ac97-9296f2dfa76d
source_resource_id	string	CKAN resource UUID.	14bd4ff1-c66e-487b-a720-68199a1bde45
source_url	string	Original source resource URL.	http://www.openculture.gov.tn/dataset/23f5b61d-6982-4b1a-945e-11c19b26d1
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-rapport-annuel-sur-les-nombres-d-abonnes-dans-les-biblioth-f1fb4f20")
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_rapport_annuel_sur_les_nombres_d_abonnes_dans_les_biblioth_f1fb4f_2018,
  title        = {Rapport annuel sur les nombres d'abonnes dans les bibliothèques publiques de Nabeul 2018 | Africa (Tunisia official open data)},
  author       = {Minstère des affaires culturelles},
  year         = {2018},
  url          = {https://catalog.data.gov.tn/dataset/rapport-annuelle-sur-les-nombres-d-abonnes-dans-les-bibliotheques-public-nabeul2018},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-tunisia-rapport-annuel-sur-les-nombres-d-abonnes-dans-les-biblioth-f1fb4f20}}
}

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/23f5b61d-6982-4b1a-945e-11c19b26d152/resource/a3f2e453-bfcb-4c48-bd5f-3f24a7c5a5a2/download/rapport-sur-les-nombres-abonnes-bibliotheque-public-nabeul-2018.csv