electricsheepafrica/africa-tunisia-accroissement-des-collections-audio-et-audiovisuelles-8d6b2f9b

Accroissement des collections audio et audiovisuelles | Africa (Tunisia official open data)

7 rows - 1 Africa country - 2013-2019 - 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: Accroissement des collections audio et audiovisuelles
• Publisher: Minstère des affaires culturelles
• Resource: Accroissement des collections audio et audiovisuelles 2013-2019
• Format: CSV
• License: Other open license
• Packaging mode: indicator_long

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
TUN	7	2013	2019	Tunisia

Indicators or Resource Contents

• accroissement-des-collections-audio-et-audiovisuelles-1a2eb349 - Accroissement des collections audio et audiovisuelles

Schema

Column	Type	Description	Example
indicator_id	string	Stable indicator identifier.	accroissement-des-collections-audio-et-audiovisuelles-1a2eb349
indicator_name	string	Human-readable indicator name.	Accroissement des collections audio et audiovisuelles
country_iso3	string	ISO3 country code.	TUN
country_name	string	Country name.	Tunisia
year	Int64	Observation year.	2013
value	float64	Numeric observation value.	26602.0
unit	string	Measurement unit, when available.	source_units_unspecified
source_period_start_year	Int64	First year inferred from source resource metadata.	2013
source_period_end_year	Int64	Last year inferred from source resource metadata.	2019
source_period_label	string	Human-readable period inferred from source resource metadata.	2013-2019
source_provider	string	Publishing organization.	Minstère des affaires culturelles
source_dataset	string	Source package title.	Accroissement des collections audio et audiovisuelles
source_resource	string	Source resource title.	Accroissement des collections audio et audiovisuelles 2013-2019
source_package_id	string	CKAN package UUID.	74019e18-1c26-4f39-846a-80106e6b5f8a
source_resource_id	string	CKAN resource UUID.	7c3d683e-3632-48ee-8028-294d1f54e353
source_url	string	Original source resource URL.	http://www.openculture.gov.tn/dataset/1e5efbc8-5c96-4f4f-a256-0e26ba3c71
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-accroissement-des-collections-audio-et-audiovisuelles-8d6b2f9b")
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_accroissement_des_collections_audio_et_audiovisuelles_8d6b2f9b_2019,
  title        = {Accroissement des collections audio et audiovisuelles | Africa (Tunisia official open data)},
  author       = {Minstère des affaires culturelles},
  year         = {2019},
  url          = {https://catalog.data.gov.tn/dataset/accroissement-des-collections-audio-et-audiovisuelles},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-tunisia-accroissement-des-collections-audio-et-audiovisuelles-8d6b2f9b}}
}

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/1e5efbc8-5c96-4f4f-a256-0e26ba3c7162/resource/1d98fc34-14b8-48c3-a3aa-bedb5d5111bf/download/nombreenregistrement.csv