---
license: other
language:
- en
task_categories:
- tabular-classification
- tabular-regression
multilinguality: monolingual
size_categories:
- n<1K
tags:
- tabular
- csv
- africa
- tunisia
- official-statistics
- open-data
pretty_name: "Données sur les entreprises culturelles privées de Manouba | Africa (Tunisia official open data)"
---

# Données sur les entreprises culturelles privées de Manouba | Africa (Tunisia official open data)

24 rows - 1 Africa country - 2023 - Repackaged by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

![rows](https://img.shields.io/badge/rows-24-blue)
![countries](https://img.shields.io/badge/countries-1-green)
![years](https://img.shields.io/badge/years-2023-orange)
![indicators](https://img.shields.io/badge/indicators-0-purple)
![license](https://img.shields.io/badge/license-other-lightgrey)

## 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 entreprises culturelles privées de Manouba](https://catalog.data.gov.tn/dataset/donnees-sur-les-societes-prives-de-manouba)
- **Publisher:** Minstère des affaires culturelles
- **Resource:** [Données sur les entreprises culturelles privées de Manouba](http://www.openculture.gov.tn/dataset/cfad2db6-3bb6-4080-85cb-a6fd4c2a1463/resource/5f4a81dd-e100-4c35-a37a-01c9855a8ca7/download/societes-privees-cracmanouba-2023.csv)
- **Format:** `CSV`
- **License:** [Other open license]()
- **Packaging mode:** `tabular_resource`

## Geographic coverage

1 Africa country:

| Country | Rows | First year | Last year | Name |
|---------|-----:|-----------:|----------:|------|
| `TUN` | 24 | 2023 | 2023 | `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. | `084119a0-defb-40f7-a006-ab81542996ff:0` |
| `country_iso3` | `string` | ISO3 country code. | `TUN` |
| `country_name` | `string` | Country name. | `Tunisia` |
| `year` | `Int64` | Observation year. | `2023` |
| `societe` | `string` | Source column. | `شركة القناع النجم` |
| `dependance` | `string` | Source column. | `الدندان منوبة` |
| `adresse` | `string` | Source column. | `نهج البساتين الدندان 2011` |
| `agent_autorise` | `string` | Source column. | `لمياء الحسني / فيصل بالزين` |
| `champs_d_activite` | `string` | Source column. | `المسرح` |
| `source_period_start_year` | `Int64` | First year inferred from source resource metadata. | `2023` |
| `source_period_end_year` | `Int64` | Last year inferred from source resource metadata. | `2023` |
| `source_period_label` | `string` | Human-readable period inferred from source resource metadata. | `2023` |
| `source_provider` | `string` | Publishing organization. | `Minstère des affaires culturelles` |
| `source_dataset` | `string` | Source package title. | `Données sur les entreprises culturelles privées de Manouba` |
| `source_resource` | `string` | Source resource title. | `Données sur les entreprises culturelles privées de Manouba` |
| `source_package_id` | `string` | CKAN package UUID. | `0dd28e90-325c-4ff7-ae7f-e2bbfec0efdb` |
| `source_resource_id` | `string` | CKAN resource UUID. | `084119a0-defb-40f7-a006-ab81542996ff` |
| `source_url` | `string` | Original source resource URL. | `http://www.openculture.gov.tn/dataset/cfad2db6-3bb6-4080-85cb-a6fd4c2a14` |
| `license_id` | `string` | Source license identifier. | `other-open` |
| `retrieved_at` | `string` | UTC retrieval timestamp. | `2026-07-18T23:08:36Z` |

## Usage

```python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-tunisia-donnees-sur-les-entreprises-culturelles-privees-de-manouba-77c4c843")
df = ds["train"].to_pandas()
print(df.head())
```

### Filter to one country

```python
sample_country = df[df["country_iso3"] == "TUN"]
```

### Work with indicators

```python
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

```bibtex
@misc{electric_sheep_africa_africa_tunisia_donnees_sur_les_entreprises_culturelles_privees_de_manouba_77c4c8_2023,
  title        = {Données sur les entreprises culturelles privées de Manouba | Africa (Tunisia official open data)},
  author       = {Minstère des affaires culturelles},
  year         = {2023},
  url          = {https://catalog.data.gov.tn/dataset/donnees-sur-les-societes-prives-de-manouba},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-tunisia-donnees-sur-les-entreprises-culturelles-privees-de-manouba-77c4c843}}
}
```

## 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](https://huggingface.co/electricsheepafrica)

---

Provenance: ingested 2026-07-19 via the Electric Sheep pipeline. Source URL:
http://www.openculture.gov.tn/dataset/cfad2db6-3bb6-4080-85cb-a6fd4c2a1463/resource/5f4a81dd-e100-4c35-a37a-01c9855a8ca7/download/societes-privees-cracmanouba-2023.csv