electricsheepafrica/africa-morocco-affaires-civiles-courantes-en-2022-c648e162

Affaires civiles courantes en 2022 | Africa (Morocco official open data)

157 rows - 1 Africa country - not-applicable - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official XLSX resource from Morocco 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: Affaires civiles courantes en 2022
• Publisher: MJ
• Resource: القضايا المدنية الرائجة سنة 2022.xlsx
• Format: XLSX
• License: Open Data Commons Open Database License
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
MAR	157	n/a	n/a	Morocco

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.	3715f06c-2dee-41a7-a198-ea0602e651af:feuil1:0
country_iso3	string	ISO3 country code.	MAR
country_name	string	Country name.	Morocco
source_sheet	string	Workbook sheet name, when the source is a spreadsheet.	Feuil1
column	string	Source column.	المحكمة الابتدائية المدنية بالدار البيضاء
column_2	float64	Source column.	25404.0
column_3	float64	Source column.	30012.0
column_4	float64	Source column.	16835.0
column_5	float64	Source column.	75588.0
column_6	float64	Source column.	0.0
column_7	float64	Source column.	0.0
column_8	float64	Source column.	428.0
column_9	float64	Source column.	5844.0
d_20000	float64	Source column.	9044.0
column_10	float64	Source column.	7229.0
column_11	float64	Source column.	9951.0
column_12	float64	Source column.	39614.0
column_13	float64	Source column.	12781.0
column_14	float64	Source column.	0.0
column_15	float64	Source column.	0.0
column_16	float64	Source column.	0.0
column_17	float64	Source column.	0.0
column_18	float64	Source column.	0.0
column_19	float64	Source column.	0.0
column_20	float64	Source column.	656.0
column_21	int64	Source column.	233386
source_provider	string	Publishing organization.	MJ
source_dataset	string	Source package title.	Affaires civiles courantes en 2022
source_resource	string	Source resource title.	القضايا المدنية الرائجة سنة 2022.xlsx
source_package_id	string	CKAN package UUID.	f7ca9b88-002f-4ac0-8323-cd823c6c16a4
source_resource_id	string	CKAN resource UUID.	3715f06c-2dee-41a7-a198-ea0602e651af
source_url	string	Original source resource URL.	https://data.gov.ma/data/fr/dataset/f7ca9b88-002f-4ac0-8323-cd823c6c16a4
license_id	string	Source license identifier.	odc-odbl
retrieved_at	string	UTC retrieval timestamp.	2026-07-16T21:31:48Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-morocco-affaires-civiles-courantes-en-2022-c648e162")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "MAR"]

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_morocco_affaires_civiles_courantes_en_2022_c648e162_2026,
  title        = {Affaires civiles courantes en 2022 | Africa (Morocco official open data)},
  author       = {MJ},
  year         = {2026},
  url          = {https://data.gov.ma/data/dataset/affaires-civiles-courantes-en-2022},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-morocco-affaires-civiles-courantes-en-2022-c648e162}}
}

License

Released under Open Data Commons Open Database License.

Original data (c) MJ. 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 2026-07-16 via the Electric Sheep pipeline. Source URL: https://data.gov.ma/data/fr/dataset/f7ca9b88-002f-4ac0-8323-cd823c6c16a4/resource/3715f06c-2dee-41a7-a198-ea0602e651af/download/-2022.xlsx