electricsheepafrica/africa-covax-round-6-allocations

COVAX Round 6 Allocations

Publisher: HDX · Source: HDX · License: cc-by · Updated: 2025-11-11

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Abstract

COVAX Round 6 Allocations for July to September 2021

Each row in this dataset represents tabular records. Data was last updated on HDX on 2025-11-11. Geographic scope: AFG, BFA, BDI, CMR, CAF, TCD, COL, COD, and 1 others.

Curated into ML-ready Parquet format by Electric Sheep Africa.

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Dataset Characteristics

Domain	Humanitarian and development data
Unit of observation	Tabular records
Rows (total)	31
Columns	20 (4 numeric, 16 categorical, 0 datetime)
Train split	24 rows
Test split	6 rows
Geographic scope	AFG, BFA, BDI, CMR, CAF, TCD, COL, COD, and 1 others
Publisher	HDX
HDX last updated	2025-11-11

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Variables

Identifier / Metadata — unnamed_0 (HRP Country, Mali, Yemen), unnamed_1 (ISO3, MLI, YEM), unnamed_2 (Total to date, 2,948,190, 4,438,230), esa_source, esa_processed.

Other — round6 (0, Sinopharm, 530,400), round6_1 (0, Sinovac, 820,800), round6_2 (0, Allotment Total, Round 6, 1,719,600), round_5 (100,620, 0, Pfizer), round_4 (0, AstraZeneca , 468,000) and 10 others.

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Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/africa-covax-round-6-allocations")
train = ds["train"].to_pandas()
test  = ds["test"].to_pandas()

print(train.shape)
train.head()

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Schema

Column	Type	Null %	Range / Sample Values
unnamed_0	object	0.0%	HRP Country, Mali, Yemen
unnamed_1	object	0.0%	ISO3, MLI, YEM
unnamed_2	object	0.0%	Total to date, 2,948,190, 4,438,230
round6	object	0.0%	0, Sinopharm, 530,400
round6_1	object	0.0%	0, Sinovac, 820,800
round6_2	object	0.0%	0, Allotment Total, Round 6, 1,719,600
round_5	object	0.0%	100,620, 0, Pfizer
round_4	object	0.0%	0, AstraZeneca , 468,000
round_7	object	0.0%	0, Pfizer, 2,515,500
round_7_1	object	0.0%	0, AstraZeneca, 5,085,600
round_7_2	float64	9.7%	0.0 – 0.0 (mean 0.0)
round_7_3	float64	6.5%	0.0 – 0.0 (mean 0.0)
round_7_4	float64	6.5%	0.0 – 0.0 (mean 0.0)
round_8_9	object	0.0%
round_8_9_1	float64	6.5%	0.0 – 0.0 (mean 0.0)
round_8_9_2	object	3.2%
round_8_9_3	object	0.0%
round_8_9_4	object	0.0%
esa_source	object	0.0%
esa_processed	object	0.0%

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Numeric Summary

Column	Min	Max	Mean	Median
round_7_2	0.0	0.0	0.0	0.0
round_7_3	0.0	0.0	0.0	0.0
round_7_4	0.0	0.0	0.0	0.0
round_8_9_1	0.0	0.0	0.0	0.0

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Curation

Raw data was downloaded from HDX via the CKAN API and converted to Parquet. Column names were lowercased and standardised to snake_case. Common missing-value markers (N/A, null, none, -, unknown, no data, #N/A) were unified to NaN. 4 column(s) were cast from string to numeric or datetime based on parse-success rate (>85% threshold). The dataset was split 80/20 into train and test partitions using a fixed random seed (42) and saved as Snappy-compressed Parquet.

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Limitations

• Data originates from HDX and has not been independently validated by ESA.
• Automated cleaning cannot correct for misreported values, definitional inconsistencies, or sampling bias in the original collection.
• This dataset spans 9 countries; geographic and methodological inconsistencies across national boundaries may affect cross-country comparability.
• Refer to the original HDX dataset page for the publisher's own methodology notes and caveats.

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Citation

@dataset{hdx_africa_covax_round_6_allocations,
  title     = {COVAX Round 6 Allocations},
  author    = {HDX},
  year      = {2025},
  url       = {https://data.humdata.org/dataset/covax-round-6-allocations},
  note      = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
}

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Electric Sheep Africa — Africa's ML dataset infrastructure. Lagos, Nigeria.