electricsheepafrica/africa-mauritania-small-business-surveys-aggregated-data-412486ff

Small Business Surveys - Aggregated Data | Africa (Mauritania official open data)

6,744 rows - 1 Africa country - 2021 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official CSV resource from Mauritania 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: Small Business Surveys - Aggregated Data
• Publisher: AI for Good at Meta
• Resource: gsosb_2021feb_data_aggregate_weighted.csv
• Format: CSV
• License: CC BY 4.0
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
MRT	6,744	2021	2021	Mauritania

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.	4a168885-b111-44e2-93ba-87be922a0825:0
country_iso3	category	ISO3 country code.	MRT
country_name	category	Country name.	Mauritania
year	Int64	Observation year.	2021
variable	string	Source column.	bus_chn_advertising_strategy
question_text	string	Source column.	What has this business changed as a result of the COVID-19 pandemic? (Se
value	string	Numeric observation value.	Checked
population	string	Source column.	overall_owner_manager
logged_iso2	string	Source column.	AR
mean_w	float64	Source column.	0.364773552
se_w	float64	Source column.	0.039512271
count	int64	Source column.	156
question_n	int64	Source column.	367
source_period_start_year	Int64	First year inferred from source resource metadata.	2021
source_period_end_year	Int64	Last year inferred from source resource metadata.	2021
source_period_label	category	Human-readable period inferred from source resource metadata.	2021
source_provider	category	Publishing organization.	AI for Good at Meta
source_dataset	category	Source package title.	Small Business Surveys - Aggregated Data
source_resource	category	Source resource title.	gsosb_2021feb_data_aggregate_weighted.csv
source_package_id	category	CKAN package UUID.	8bd3d109-d33d-4349-90c4-464c9d7ccb66
source_resource_id	category	CKAN resource UUID.	4a168885-b111-44e2-93ba-87be922a0825
source_url	category	Original source resource URL.	https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/re
license_id	category	Source license identifier.	cc-by
retrieved_at	category	UTC retrieval timestamp.	2026-08-18T00:06:00Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-mauritania-small-business-surveys-aggregated-data-412486ff")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "MRT"]

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_mauritania_small_business_surveys_aggregated_data_412486ff_2021,
  title        = {Small Business Surveys - Aggregated Data | Africa (Mauritania official open data)},
  author       = {AI for Good at Meta},
  year         = {2021},
  url          = {https://data.humdata.org/dataset/future-of-business-survey-aggregated-data},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mauritania-small-business-surveys-aggregated-data-412486ff}}
}

License

Released under CC BY 4.0.

Original data (c) AI for Good at Meta. 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 2026-08-18 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/4a168885-b111-44e2-93ba-87be922a0825/download/gsosb_2021feb_data_aggregate_weighted.csv