electricsheepafrica/africa-tunisia-tn-horaires-des-consultations-des-services-par-etablisseme-ecf4c45a

TN-Horaires des consultations des services par établissement de santé | Africa (Tunisia official open data)

16 rows - 1 Africa country - 2026 - 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: TN-Horaires des consultations des services par établissement de santé
• Publisher: Centre informatique du ministère de la Santé
• Resource: rdv_service.csv
• Format: CSV
• License: CC BY 4.0
• Packaging mode: indicator_long

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
TUN	16	2026	2026	Tunisia

Indicators or Resource Contents

• tn-horaires-des-consultations-des-services-par-etablissement-de-sante-30906924 - TN-Horaires des consultations des services par établissement de santé

Schema

Column	Type	Description	Example
indicator_id	string	Stable indicator identifier.	tn-horaires-des-consultations-des-services-par-etablissement-de-sante-30
indicator_name	string	Human-readable indicator name.	TN-Horaires des consultations des services par établissement de santé
country_iso3	string	ISO3 country code.	TUN
country_name	string	Country name.	Tunisia
date	string	Observation date.	2026-07-19
year	Int64	Observation year.	2026
value	float64	Numeric observation value.	15.0
unit	string	Measurement unit, when available.	source_units_unspecified
dimension_service	string	Source dimension.	CHIRURGIE
dimension_heue_debut	string	Source dimension.	07:00
dimension_nom_etab	string	Source dimension.	ETAB1
source_period_start_year	Int64	First year inferred from source resource metadata.	``
source_period_end_year	Int64	Last year inferred from source resource metadata.	``
source_period_label	string	Human-readable period inferred from source resource metadata.	``
source_provider	string	Publishing organization.	Centre informatique du ministère de la Santé
source_dataset	string	Source package title.	TN-Horaires des consultations des services par établissement de santé
source_resource	string	Source resource title.	rdv_service.csv
source_package_id	string	CKAN package UUID.	0e5c1512-f61a-4761-9a51-31afe83663a4
source_resource_id	string	CKAN resource UUID.	f8f6084c-eca8-4936-acb6-f3acdc8e384a
source_url	string	Original source resource URL.	https://catalog.data.gov.tn/dataset/0e5c1512-f61a-4761-9a51-31afe83663a4
license_id	string	Source license identifier.	cc-by
retrieved_at	string	UTC retrieval timestamp.	2026-07-18T23:08:36Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-tunisia-tn-horaires-des-consultations-des-services-par-etablisseme-ecf4c45a")
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_tn_horaires_des_consultations_des_services_par_etablisseme_ecf4c4_2026,
  title        = {TN-Horaires des consultations des services par établissement de santé | Africa (Tunisia official open data)},
  author       = {Centre informatique du ministère de la Santé},
  year         = {2026},
  url          = {https://catalog.data.gov.tn/dataset/tn-horaires-des-consultations-des-services-par-etablissement-de-sante},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-tunisia-tn-horaires-des-consultations-des-services-par-etablisseme-ecf4c45a}}
}

License

Released under CC BY 4.0.

Original data (c) Centre informatique du ministère de la Santé. 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: https://catalog.data.gov.tn/dataset/0e5c1512-f61a-4761-9a51-31afe83663a4/resource/f8f6084c-eca8-4936-acb6-f3acdc8e384a/download/rdv_service.csv