Datasetpublic

electricsheepafrica/africa-guinea-afdb-commodity-prices-2016-8994774e

AFDB Commodity Prices, 2016 | Africa (Guinea official open data) 51,922 rows - 1 Africa country - 1960-2016 - Repackaged by Electric Sheep Africa TL;DR This dataset packages one official XLSX resource from Guinea 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: AFDB Commodity Prices, 2016 Publisher: African… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-guinea-afdb-commodity-prices-2016-8994774e.

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Dataset Card

AFDB Commodity Prices, 2016 | Africa (Guinea official open data)

51,922 rows - 1 Africa country - 1960-2016 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official XLSX resource from Guinea 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: AFDB Commodity Prices, 2016
—Publisher: African Development Bank Group (inactive)
—Resource: AFDB Commodity Prices, 2016.xlsx
—Format: XLSX
—License: CC BY 4.0
—Packaging mode: indicator_long

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
`GIN`	51,922	1960	2016	`Guinea`

Indicators or Resource Contents

—afdb-commodity-prices-2016-8af6f3ff - AFDB Commodity Prices, 2016

Schema

Column	Type	Description	Example
`indicator_id`	`string`	Stable indicator identifier.	`afdb-commodity-prices-2016-8af6f3ff`
`indicator_name`	`string`	Human-readable indicator name.	`AFDB Commodity Prices, 2016`
`country_iso3`	`string`	ISO3 country code.	`GIN`
`source_sheet`	`string`	Workbook sheet name, when the source is a spreadsheet.	`Sheet1`
`country_name`	`string`	Country name.	`Guinea`
`year`	`Int64`	Observation year.	`1960`
`value`	`float64`	Numeric observation value.	`1.63000011444`
`unit`	`string`	Measurement unit, when available.	`source_units_unspecified`
`dimension_indicator_code`	`string`	Source dimension.	`CRUDE_PETRO`
`dimension_indicatorname`	`string`	Source dimension.	`Crude oil, average($/bbl)`
`dimension_unit`	`string`	Source dimension.	`$/bbl`
`dimension_frequency`	`string`	Source dimension.	`M`
`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.	`2016`
`source_period_label`	`category`	Human-readable period inferred from source resource metadata.	`2016`
`source_provider`	`category`	Publishing organization.	`African Development Bank Group (inactive)`
`source_dataset`	`category`	Source package title.	`AFDB Commodity Prices, 2016`
`source_resource`	`category`	Source resource title.	`AFDB Commodity Prices, 2016.xlsx`
`source_package_id`	`category`	CKAN package UUID.	`4c65bf32-a069-46de-b90a-32e5bfe9b176`
`source_resource_id`	`category`	CKAN resource UUID.	`96863ef0-db34-4a1a-b345-7c29ede0818c`
`source_url`	`category`	Original source resource URL.	`https://data.humdata.org/dataset/4c65bf32-a069-46de-b90a-32e5bfe9b176/re`
`license_id`	`category`	Source license identifier.	`cc-by`
`retrieved_at`	`category`	UTC retrieval timestamp.	`2026-08-15T12:58:16Z`

Usage

python

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-guinea-afdb-commodity-prices-2016-8994774e")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

python

sample_country = df[df["country_iso3"] == "GIN"]

Work with indicators

python

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

bibtex

@misc{electric_sheep_africa_africa_guinea_afdb_commodity_prices_2016_8994774e_2016,
  title        = {AFDB Commodity Prices, 2016 | Africa (Guinea official open data)},
  author       = {African Development Bank Group (inactive)},
  year         = {2016},
  url          = {https://data.humdata.org/dataset/afdb-commodity-prices-2016},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-guinea-afdb-commodity-prices-2016-8994774e}}
}

License

Released under CC BY 4.0.

Original data (c) African Development Bank Group (inactive). 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

Provenance: ingested 2026-08-15 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/4c65bf32-a069-46de-b90a-32e5bfe9b176/resource/96863ef0-db34-4a1a-b345-7c29ede0818c/download/afdb-commodity-prices-2016.xlsx