electricsheepafrica/africa-morocco-liste-des-questions-orales-de-la-session-d-octobre-pour-la-78d56f28

Liste des questions orales de la session d'Octobre pour la période 2016 à 2023 | Africa (Morocco official open data)

1,236 rows - 1 Africa country - 2022-2023 - 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: Liste des questions orales de la session d'Octobre pour la période 2016 à 2023
• Publisher: Parlement
• Resource: دورة أكتوبر 2022.xlsx
• Format: XLSX
• License: Open Data Commons Open Database License
• Packaging mode: indicator_long

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
MAR	1,236	2022	2023	Morocco

Indicators or Resource Contents

• liste-des-questions-orales-de-la-session-d-octobre-pour-la-periode-2016-bcff4389 - Liste des questions orales de la session d'Octobre pour la période 2016 à 2023

Schema

Column	Type	Description	Example
indicator_id	string	Stable indicator identifier.	liste-des-questions-orales-de-la-session-d-octobre-pour-la-periode-2016-
indicator_name	string	Human-readable indicator name.	Liste des questions orales de la session d'Octobre pour la période 2016
country_iso3	string	ISO3 country code.	MAR
source_sheet	string	Workbook sheet name, when the source is a spreadsheet.	دورة أكتوبر 2022
country_name	string	Country name.	Morocco
date	string	Observation date.	2022-10-18
year	Int64	Observation year.	2022
value	float64	Numeric observation value.	29.0
unit	string	Measurement unit, when available.	source_units_unspecified
dimension_type	string	Source dimension.	محوري
dimension_periode	string	Source dimension.	دورة أكتوبر 2022
dimension_depute	string	Source dimension.	رشيد حموني
dimension_groupe	string	Source dimension.	فريق التقدم والاشتراكية
dimension_ministere	string	Source dimension.	رئيس الحكومة سياسة عامة
dimension_sujet	string	Source dimension.	مشروع قانون المالية لسنة 2023 بين الرهانات الاقتصادية والاجتماعية والبرن
dimension_question	string	Source dimension.	السيد رئيس الحكومة المحترم؛ تضمن برنامجكم، الذي نالت على إثره حكومتكم ثق
dimension_date_reponse	string	Source dimension.	2022-10-24 00:00:00
dimension_num_seance	string	Source dimension.	5
source_provider	string	Publishing organization.	Parlement
source_dataset	string	Source package title.	Liste des questions orales de la session d'Octobre pour la période 2016
source_resource	string	Source resource title.	دورة أكتوبر 2022.xlsx
source_package_id	string	CKAN package UUID.	3f49715c-5e6f-4b7b-a42a-a3bea21454b9
source_resource_id	string	CKAN resource UUID.	04ce3826-47a7-4d54-bcfd-dcb6e403d64d
source_url	string	Original source resource URL.	https://data.gov.ma/data/fr/dataset/3f49715c-5e6f-4b7b-a42a-a3bea21454b9
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-liste-des-questions-orales-de-la-session-d-octobre-pour-la-78d56f28")
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_liste_des_questions_orales_de_la_session_d_octobre_pour_la_78d56f_2023,
  title        = {Liste des questions orales de la session d'Octobre pour la période 2016 à 2023 | Africa (Morocco official open data)},
  author       = {Parlement},
  year         = {2023},
  url          = {https://data.gov.ma/data/dataset/liste-des-questions-orales-de-la-session-d-octobre},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-morocco-liste-des-questions-orales-de-la-session-d-octobre-pour-la-78d56f28}}
}

License

Released under Open Data Commons Open Database License.

Original data (c) Parlement. 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/3f49715c-5e6f-4b7b-a42a-a3bea21454b9/resource/04ce3826-47a7-4d54-bcfd-dcb6e403d64d/download/-2022.xlsx