electricsheepafrica/africa-morocco-liste-des-questions-ecrites-de-la-session-d-octobre-pour-l-27bc088f

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

1,663 rows - 1 Africa country - 2018-2021 - 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 écrites de la session d'Octobre pour la période 2016 à 2023
• Publisher: Parlement
• Resource: أكتوبر 2018
• 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	1,663	2018	2021	Morocco

Indicators or Resource Contents

• liste-des-questions-ecrites-de-la-session-d-octobre-pour-la-periode-2016-1a67c661 - Liste des questions écrites 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-ecrites-de-la-session-d-octobre-pour-la-periode-2016
indicator_name	string	Human-readable indicator name.	Liste des questions écrites 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.	Ecrites_Octobre_2018
country_name	string	Country name.	Morocco
date	string	Observation date.	2019-05-29
year	Int64	Observation year.	2019
value	float64	Numeric observation value.	8090.0
unit	string	Measurement unit, when available.	source_units_unspecified
dimension_date_depot	string	Source dimension.	2018-10-17 00:00:00
dimension_periode	string	Source dimension.	أكتوبر 2018
dimension_depute	string	Source dimension.	بوركالن حسن
dimension_groupe	string	Source dimension.	فريق الأصالة و المعاصرة
dimension_ministere	string	Source dimension.	الفلاحة والصيد البحري والتنمية القروية والمياه والغابات
dimension_sujet	string	Source dimension.	بناء حاجز وقائي من السيول لواحات النخيل على ضفة وادي درعة بدوار أولاد ام
dimension_observation	string	Source dimension.	علاقة بالموضوع أعلاه، يشرفني أن أخبركم بالآثار السلبية التي بات يخلفها م
source_provider	string	Publishing organization.	Parlement
source_dataset	string	Source package title.	Liste des questions écrites de la session d'Octobre pour la période 2016
source_resource	string	Source resource title.	أكتوبر 2018
source_package_id	string	CKAN package UUID.	ba99bbb6-cd38-4d1f-8ea3-d80f2d4178c7
source_resource_id	string	CKAN resource UUID.	320c4891-d26b-4ba4-a00d-69db3122feba
source_url	string	Original source resource URL.	https://data.gov.ma/data/dataset/ba99bbb6-cd38-4d1f-8ea3-d80f2d4178c7/re
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-ecrites-de-la-session-d-octobre-pour-l-27bc088f")
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_ecrites_de_la_session_d_octobre_pour_l_27bc08_2021,
  title        = {Liste des questions écrites de la session d'Octobre pour la période 2016 à 2023 | Africa (Morocco official open data)},
  author       = {Parlement},
  year         = {2021},
  url          = {https://data.gov.ma/data/dataset/liste-des-questions-ecrites-au-titre-de-la-10eme-legislature-2016-2020},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-morocco-liste-des-questions-ecrites-de-la-session-d-octobre-pour-l-27bc088f}}
}

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/dataset/ba99bbb6-cd38-4d1f-8ea3-d80f2d4178c7/resource/320c4891-d26b-4ba4-a00d-69db3122feba/download/-2018.xlsx