electricsheepafrica/africa-mauritius-enrolment-by-course-level-mode-of-study-by-gender-and-by-y-c9020068

Enrolment by Course Level, Mode of Study, by Gender and by Year for Mahatma Gandhi Institute | Africa (Mauritius official open data)

1,036 rows - 1 Africa country - 2018-2022 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official CSV resource from Mauritius as ML-ready Parquet. The CSV is the provenance boundary; all usable indicators or tabular columns from the source file stay together in this repo.

About the source

• Source: Enrolment by Course Level, Mode of Study, by Gender and by Year for Mahatma Gandhi Institute
• Publisher: MDPA
• Resource: Enrolment-by-Course-Level-Mode-of-Study-%26-Gender-MGI-%26-RTI.csv
• License: CC BY-SA 4.0
• Packaging mode: indicator_long

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
MUS	1,036	2018	2022	Mauritius

Indicators or Resource Contents

• enrolment-by-course-level-mode-of-study-by-gender-and-by-year-for-mahatm-0ea3a9fb - Enrolment by Course Level, Mode of Study, by Gender and by Year for Mahatma Gandhi Institute - from year
• enrolment-by-course-level-mode-of-study-by-gender-and-by-year-for-mahatm-0f4aee1d - Enrolment by Course Level, Mode of Study, by Gender and by Year for Mahatma Gandhi Institute - num enrolled year1
• enrolment-by-course-level-mode-of-study-by-gender-and-by-year-for-mahatm-f40db000 - Enrolment by Course Level, Mode of Study, by Gender and by Year for Mahatma Gandhi Institute - num enrolled year2
• enrolment-by-course-level-mode-of-study-by-gender-and-by-year-for-mahatm-20f802d7 - Enrolment by Course Level, Mode of Study, by Gender and by Year for Mahatma Gandhi Institute - num enrolled year3
• enrolment-by-course-level-mode-of-study-by-gender-and-by-year-for-mahatm-ef267c6e - Enrolment by Course Level, Mode of Study, by Gender and by Year for Mahatma Gandhi Institute - num enrolled year4

Schema

Column	Type	Description	Example
indicator_id	object	Stable indicator identifier.	enrolment-by-course-level-mode-of-study-by-gender-and-by-year-for-mahatm
indicator_name	object	Human-readable indicator name.	Enrolment by Course Level, Mode of Study, by Gender and by Year for Maha
country_iso3	object	ISO3 country code.	MUS
country_name	object	Country name.	Mauritius
year	Int64	Observation year.	2018
value	float64	Numeric observation value.	2017.0
unit	object	Measurement unit, when available.	source_units_unspecified
dimension_course_level	string	Source dimension.	Post Graduate Degree (M.A Hons.)
dimension_course_field	string	Source dimension.	Indian Philosophy
dimension_study_mode	string	Source dimension.	FT
dimension_gender	string	Source dimension.	Male
source_provider	object	Publishing organization.	MDPA
source_dataset	object	Source package title.	Enrolment by Course Level, Mode of Study, by Gender and by Year for Maha
source_resource	object	Source resource title.	Enrolment-by-Course-Level-Mode-of-Study-%26-Gender-MGI-%26-RTI.csv
source_package_id	object	CKAN package UUID.	d4720477-e219-4126-bbed-accfcf3f7f2b
source_resource_id	object	CKAN resource UUID.	26c4202c-37c2-4461-bc64-a1e9fe34ead4
source_url	object	Original CSV URL.	https://data.govmu.org/dataset/d4720477-e219-4126-bbed-accfcf3f7f2b/reso
license_id	object	Source license identifier.	CC-BY-SA-4.0
retrieved_at	object	UTC retrieval timestamp.	2026-07-16T19:23:24Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-mauritius-enrolment-by-course-level-mode-of-study-by-gender-and-by-y-c9020068")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "MUS"]

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_mauritius_enrolment_by_course_level_mode_of_study_by_gender_and_by_y_c902_2022,
  title        = {Enrolment by Course Level, Mode of Study, by Gender and by Year for Mahatma Gandhi Institute | Africa (Mauritius official open data)},
  author       = {MDPA},
  year         = {2022},
  url          = {https://data.govmu.org/dataset/enrolment-course-level-mode-study-gender-and-year-mahatma-gandhi-institute},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-enrolment-by-course-level-mode-of-study-by-gender-and-by-y-c9020068}}
}

License

Released under CC BY-SA 4.0.

Original data (c) MDPA. 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.govmu.org/dataset/d4720477-e219-4126-bbed-accfcf3f7f2b/resource/26c4202c-37c2-4461-bc64-a1e9fe34ead4/download/enrolment-by-course-level-mode-of-study-26-gender-mgi-26-rti.csv