electricsheepafrica/africa-mali-small-business-surveys-aggregated-data-3f889550

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

675,864 rows - 1 Africa country - 2016-2018 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official CSV resource from Mali 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: Future of Business Survey - Dashboard Download - Feb 16 - Apr 18 2.csv
• Format: CSV
• License: CC BY 4.0
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
MLI	675,864	2016	2018	Mali

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.	2cfc864c-636b-487e-b4e4-fb31f8b67a56:0
country_iso3	category	ISO3 country code.	MLI
country_name	category	Country name.	Mali
country	string	Source column.	AR
wave_number	int64	Source column.	1
wave_month_year	string	Source column.	Feb16
topic_covered_by_question	string	Source column.	Company age
question	string	Source column.	Q10: [Company age] - How old is your company?
question_row_number	string	Source column.	Q10
row_item_label	string	Source column.	1-3 years
answer_option_label	string	Source column.	``
base_description_who_saw_the_question	string	Source column.	Base: Total, incl. Don't know/Prefer not to say
base_size_how_many_saw_this_question	float64	Source column.	2230.0
value	float64	Numeric observation value.	581.0
data_type_represented_by_value	string	Source column.	Frequency
source_period_start_year	Int64	First year inferred from source resource metadata.	2016
source_period_end_year	Int64	Last year inferred from source resource metadata.	2018
source_period_label	category	Human-readable period inferred from source resource metadata.	2016-2018
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.	Future of Business Survey - Dashboard Download - Feb 16 - Apr 18 2.csv
source_package_id	category	CKAN package UUID.	8bd3d109-d33d-4349-90c4-464c9d7ccb66
source_resource_id	category	CKAN resource UUID.	2cfc864c-636b-487e-b4e4-fb31f8b67a56
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.	2026-08-12T23:12:09Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-mali-small-business-surveys-aggregated-data-3f889550")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "MLI"]

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_mali_small_business_surveys_aggregated_data_3f889550_2018,
  title        = {Small Business Surveys - Aggregated Data | Africa (Mali official open data)},
  author       = {AI for Good at Meta},
  year         = {2018},
  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-mali-small-business-surveys-aggregated-data-3f889550}}
}

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 2026-08-13 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/2cfc864c-636b-487e-b4e4-fb31f8b67a56/download/future-of-business-survey-dashboard-download-feb-16-apr-18-2.csv