Datasets:

electricsheepafrica
/

ssa-breast-systemic-immune-markers

sample_id stringlengths 22 22	population stringclasses 7 values	region stringclasses 5 values	is_SSA bool 2 classes	is_reference_panel bool 2 classes	sex stringclasses 2 values	age int64 18 90	nlr_category stringclasses 3 values	nlr_value float64 0.5 10.9	lymphocyte_category stringclasses 3 values	lymphocyte_count_x10e9_per_L float64 0.1 5.62	neutrophil_count_x10e9_per_L float64 0.5 20	crp_category stringclasses 3 values	crp_mg_per_L float64 0 97.8	esr_category stringclasses 3 values	esr_mm_per_hr float64 0 120	high_nlr bool 2 classes	lymphopenia bool 2 classes	high_inflammatory_burden bool 2 classes
SYSIMMUNE_SAMPLE_00001	SSA_West	West	true	false	Female	53	Low	1.57	Normal	1.55	2.44	Markedly_elevated	22.16	Normal	13.4	false	false	true
SYSIMMUNE_SAMPLE_00002	SSA_West	West	true	false	Female	39	Intermediate	3.96	Low	0.69	2.73	Normal	2.53	Normal	22.4	false	true	false
SYSIMMUNE_SAMPLE_00003	SSA_West	West	true	false	Female	58	Low	1.93	Normal	2.18	4.21	Markedly_elevated	16.41	Normal	16.3	false	false	true
SYSIMMUNE_SAMPLE_00004	SSA_West	West	true	false	Female	60	Low	1.47	Normal	2.68	3.94	Normal	3.77	Markedly_elevated	42.4	false	false	true
SYSIMMUNE_SAMPLE_00005	SSA_West	West	true	false	Female	29	High	5.51	Low	0.6	3.31	Normal	1.27	Normal	7.7	true	true	true
SYSIMMUNE_SAMPLE_00006	SSA_West	West	true	false	Female	36	Intermediate	3.41	Low	0.76	2.58	Mildly_elevated	11.58	Markedly_elevated	75.2	false	true	true
SYSIMMUNE_SAMPLE_00007	SSA_West	West	true	false	Female	51	High	5.58	Normal	2.1	11.69	Normal	0.47	Normal	11.8	true	false	true
SYSIMMUNE_SAMPLE_00008	SSA_West	West	true	false	Female	47	High	5.89	Normal	2.17	12.77	Markedly_elevated	53.7	Mildly_elevated	54.3	true	false	true
SYSIMMUNE_SAMPLE_00009	SSA_West	West	true	false	Female	50	Low	2.05	Normal	2	4.09	Markedly_elevated	10	Normal	10.7	false	false	true
SYSIMMUNE_SAMPLE_00010	SSA_West	West	true	false	Female	41	High	6.47	Normal	1.82	11.77	Markedly_elevated	64.42	Mildly_elevated	39.3	true	false	true
SYSIMMUNE_SAMPLE_00011	SSA_West	West	true	false	Female	60	High	6.63	Normal	1.15	7.63	Markedly_elevated	30.6	Normal	15.9	true	false	true
SYSIMMUNE_SAMPLE_00012	SSA_West	West	true	false	Female	59	Low	0.93	Normal	2.14	1.98	Mildly_elevated	7.97	Normal	12.2	false	false	false
SYSIMMUNE_SAMPLE_00013	SSA_West	West	true	false	Female	51	Intermediate	2.55	Normal	1.97	5.01	Normal	0.62	Markedly_elevated	94.1	false	false	true
SYSIMMUNE_SAMPLE_00014	SSA_West	West	true	false	Female	62	Intermediate	2.42	Normal	1.92	4.66	Normal	1.31	Markedly_elevated	95	false	false	true
SYSIMMUNE_SAMPLE_00015	SSA_West	West	true	false	Female	55	Low	1.37	Normal	2.39	3.28	Normal	0.49	Normal	6.4	false	false	false
SYSIMMUNE_SAMPLE_00016	SSA_West	West	true	false	Female	41	High	4.96	Low	1.3	6.45	Normal	0	Normal	9.4	true	true	true
SYSIMMUNE_SAMPLE_00017	SSA_West	West	true	false	Female	54	Intermediate	2.98	High	4.04	12.05	Normal	4.23	Mildly_elevated	39.2	false	false	false
SYSIMMUNE_SAMPLE_00018	SSA_West	West	true	false	Female	39	Intermediate	3.74	Normal	2.03	7.57	Mildly_elevated	10.97	Normal	9.4	false	false	false
SYSIMMUNE_SAMPLE_00019	SSA_West	West	true	false	Female	60	High	6	Normal	1.4	8.42	Normal	2.28	Mildly_elevated	39.3	true	false	true
SYSIMMUNE_SAMPLE_00020	SSA_West	West	true	false	Female	49	High	6.27	Low	1.5	9.41	Markedly_elevated	62.59	Mildly_elevated	33.2	true	true	true
SYSIMMUNE_SAMPLE_00021	SSA_West	West	true	false	Female	48	High	4.01	Normal	2.02	8.11	Markedly_elevated	24.22	Mildly_elevated	36.2	true	false	true
SYSIMMUNE_SAMPLE_00022	SSA_West	West	true	false	Female	43	High	6.66	Low	0.64	4.28	Markedly_elevated	44.08	Normal	8.7	true	true	true
SYSIMMUNE_SAMPLE_00023	SSA_West	West	true	false	Female	63	High	7.52	Normal	1.76	13.2	Markedly_elevated	39.8	Markedly_elevated	102.8	true	false	true
SYSIMMUNE_SAMPLE_00024	SSA_West	West	true	false	Female	48	Low	1.6	Normal	1.76	2.81	Markedly_elevated	36.79	Mildly_elevated	19.8	false	false	true
SYSIMMUNE_SAMPLE_00025	SSA_West	West	true	false	Female	45	Low	1.57	Normal	1.78	2.8	Markedly_elevated	48.12	Mildly_elevated	49	false	false	true
SYSIMMUNE_SAMPLE_00026	SSA_West	West	true	false	Female	46	Low	0.81	Normal	1.72	1.39	Normal	2.41	Mildly_elevated	26.3	false	false	false
SYSIMMUNE_SAMPLE_00027	SSA_West	West	true	false	Female	56	Intermediate	3.24	Normal	1.95	6.3	Markedly_elevated	25.58	Markedly_elevated	69.2	false	false	true
SYSIMMUNE_SAMPLE_00028	SSA_West	West	true	false	Female	54	Intermediate	3.3	Normal	1.25	4.12	Markedly_elevated	49.69	Normal	15.9	false	false	true
SYSIMMUNE_SAMPLE_00029	SSA_West	West	true	false	Female	55	High	4.88	Low	1.5	7.32	Markedly_elevated	48.4	Markedly_elevated	76.5	true	true	true
SYSIMMUNE_SAMPLE_00030	SSA_West	West	true	false	Female	55	Low	2.22	Normal	2.13	4.71	Normal	2.8	Markedly_elevated	50.5	false	false	true
SYSIMMUNE_SAMPLE_00031	SSA_West	West	true	false	Female	74	Intermediate	3.37	Low	0.66	2.21	Mildly_elevated	3.03	Markedly_elevated	64.1	false	true	true
SYSIMMUNE_SAMPLE_00032	SSA_West	West	true	false	Female	46	High	6.6	Normal	1.7	11.21	Normal	0.29	Normal	16.5	true	false	true
SYSIMMUNE_SAMPLE_00033	SSA_West	West	true	false	Female	44	High	5.36	High	3.73	20	Mildly_elevated	4.82	Normal	16.8	true	false	true
SYSIMMUNE_SAMPLE_00034	SSA_West	West	true	false	Female	41	Low	3.02	Low	1.25	3.78	Normal	2.58	Markedly_elevated	82	false	true	true
SYSIMMUNE_SAMPLE_00035	SSA_West	West	true	false	Female	57	Low	2.19	Normal	1.46	3.19	Normal	0.03	Markedly_elevated	93.8	false	false	true
SYSIMMUNE_SAMPLE_00036	SSA_West	West	true	false	Female	62	High	3.65	Low	0.99	3.6	Normal	1.66	Normal	18.7	true	true	true
SYSIMMUNE_SAMPLE_00037	SSA_West	West	true	false	Female	49	Intermediate	2.96	Normal	1.78	5.29	Normal	3.52	Normal	12.3	false	false	false
SYSIMMUNE_SAMPLE_00038	SSA_West	West	true	false	Female	41	Intermediate	2.69	Normal	2.36	6.34	Mildly_elevated	11.96	Markedly_elevated	41.1	false	false	true
SYSIMMUNE_SAMPLE_00039	SSA_West	West	true	false	Female	41	Intermediate	3.16	Normal	1.84	5.81	Mildly_elevated	6.56	Markedly_elevated	71.4	false	false	true
SYSIMMUNE_SAMPLE_00040	SSA_West	West	true	false	Female	57	High	6.19	Normal	1.22	7.54	Markedly_elevated	19.85	Normal	4.6	true	false	true
SYSIMMUNE_SAMPLE_00041	SSA_West	West	true	false	Female	58	High	3.54	Normal	1.88	6.65	Normal	0	Markedly_elevated	74	true	false	true
SYSIMMUNE_SAMPLE_00042	SSA_West	West	true	false	Female	56	Intermediate	3.49	Low	0.63	2.19	Normal	1.76	Mildly_elevated	36.9	false	true	false
SYSIMMUNE_SAMPLE_00043	SSA_West	West	true	false	Female	43	Low	1.82	Low	1.24	2.25	Mildly_elevated	10.19	Normal	16.1	false	true	false
SYSIMMUNE_SAMPLE_00044	SSA_West	West	true	false	Female	53	High	6.24	Normal	1.57	9.8	Mildly_elevated	5.61	Mildly_elevated	39.9	true	false	true
SYSIMMUNE_SAMPLE_00045	SSA_West	West	true	false	Female	51	High	5.49	Normal	1.72	9.43	Markedly_elevated	61.6	Mildly_elevated	41.4	true	false	true
SYSIMMUNE_SAMPLE_00046	SSA_West	West	true	false	Female	52	High	3.31	Normal	1.6	5.29	Markedly_elevated	38.37	Normal	3.9	true	false	true
SYSIMMUNE_SAMPLE_00047	SSA_West	West	true	false	Female	60	High	5.53	Normal	2.57	14.22	Mildly_elevated	11.07	Mildly_elevated	23.2	true	false	true
SYSIMMUNE_SAMPLE_00048	SSA_West	West	true	false	Female	52	Low	2.1	Normal	2.05	4.3	Markedly_elevated	45.55	Markedly_elevated	79	false	false	true
SYSIMMUNE_SAMPLE_00049	SSA_West	West	true	false	Female	57	High	5.06	Normal	2.01	10.16	Mildly_elevated	5.72	Normal	8.3	true	false	true
SYSIMMUNE_SAMPLE_00050	SSA_West	West	true	false	Female	51	High	8.44	Normal	1.5	12.63	Mildly_elevated	8.99	Normal	20.1	true	false	true
SYSIMMUNE_SAMPLE_00051	SSA_West	West	true	false	Female	53	Low	1.95	Normal	1.62	3.16	Normal	0.76	Mildly_elevated	33.7	false	false	false
SYSIMMUNE_SAMPLE_00052	SSA_West	West	true	false	Female	57	Low	2.32	Normal	1.66	3.87	Mildly_elevated	5.98	Normal	16.5	false	false	false
SYSIMMUNE_SAMPLE_00053	SSA_West	West	true	false	Female	34	High	9.39	Normal	2.02	18.95	Markedly_elevated	18.49	Mildly_elevated	48.7	true	false	true
SYSIMMUNE_SAMPLE_00054	SSA_West	West	true	false	Female	46	Low	1.73	Low	1.35	2.34	Mildly_elevated	8.48	Mildly_elevated	18.9	false	true	false
SYSIMMUNE_SAMPLE_00055	SSA_West	West	true	false	Female	45	High	5.26	Normal	1.31	6.88	Markedly_elevated	23.07	Normal	18.1	true	false	true
SYSIMMUNE_SAMPLE_00056	SSA_West	West	true	false	Female	43	Intermediate	2.06	Normal	1.29	2.66	Normal	2.97	Markedly_elevated	72.1	false	false	true
SYSIMMUNE_SAMPLE_00057	SSA_West	West	true	false	Female	47	Intermediate	3.61	Normal	1.9	6.88	Mildly_elevated	6.43	Markedly_elevated	60.6	false	false	true
SYSIMMUNE_SAMPLE_00058	SSA_West	West	true	false	Female	66	High	5.99	Normal	1.98	11.84	Normal	0.92	Mildly_elevated	47	true	false	true
SYSIMMUNE_SAMPLE_00059	SSA_West	West	true	false	Female	40	Intermediate	2.85	Normal	1.37	3.9	Normal	0.48	Markedly_elevated	102	false	false	true
SYSIMMUNE_SAMPLE_00060	SSA_West	West	true	false	Female	61	Intermediate	2.4	Low	0.96	2.3	Normal	1.51	Mildly_elevated	39.2	false	true	false
SYSIMMUNE_SAMPLE_00061	SSA_West	West	true	false	Female	31	Intermediate	2.46	Normal	2.21	5.44	Normal	4.35	Markedly_elevated	67.2	false	false	true
SYSIMMUNE_SAMPLE_00062	SSA_West	West	true	false	Female	46	Intermediate	2.72	Normal	2.06	5.61	Normal	4	Markedly_elevated	72.5	false	false	true
SYSIMMUNE_SAMPLE_00063	SSA_West	West	true	false	Male	52	High	5.08	Low	0.76	3.85	Normal	3.59	Markedly_elevated	74	true	true	true
SYSIMMUNE_SAMPLE_00064	SSA_West	West	true	false	Female	56	Intermediate	3.7	High	3.69	13.64	Normal	2.59	Mildly_elevated	17.5	false	false	false
SYSIMMUNE_SAMPLE_00065	SSA_West	West	true	false	Female	58	High	5.49	Low	0.17	0.91	Markedly_elevated	67.57	Markedly_elevated	80.5	true	true	true
SYSIMMUNE_SAMPLE_00066	SSA_West	West	true	false	Female	59	High	4.09	Low	1.48	6.03	Normal	3.44	Markedly_elevated	67.1	true	true	true
SYSIMMUNE_SAMPLE_00067	SSA_West	West	true	false	Female	46	High	3.96	Normal	1.36	5.39	Markedly_elevated	21.38	Mildly_elevated	21.1	true	false	true
SYSIMMUNE_SAMPLE_00068	SSA_West	West	true	false	Female	45	Intermediate	3.13	Normal	1.33	4.15	Normal	0	Mildly_elevated	27.5	false	false	false
SYSIMMUNE_SAMPLE_00069	SSA_West	West	true	false	Female	59	High	4.38	Normal	1.69	7.42	Normal	0.07	Normal	12.6	true	false	true
SYSIMMUNE_SAMPLE_00070	SSA_West	West	true	false	Female	48	High	4.46	Normal	1.49	6.67	Markedly_elevated	60.19	Markedly_elevated	64.2	true	false	true
SYSIMMUNE_SAMPLE_00071	SSA_West	West	true	false	Female	36	Low	1.38	High	4.24	5.86	Markedly_elevated	27.49	Normal	4.1	false	false	true
SYSIMMUNE_SAMPLE_00072	SSA_West	West	true	false	Female	38	High	6.41	High	3.12	20	Markedly_elevated	36.88	Normal	17.7	true	false	true
SYSIMMUNE_SAMPLE_00073	SSA_West	West	true	false	Female	40	Low	1.38	Normal	2.25	3.09	Markedly_elevated	67.62	Markedly_elevated	77.9	false	false	true
SYSIMMUNE_SAMPLE_00074	SSA_West	West	true	false	Female	55	Intermediate	2.66	Low	0.97	2.58	Markedly_elevated	25.55	Mildly_elevated	36	false	true	true
SYSIMMUNE_SAMPLE_00075	SSA_West	West	true	false	Female	52	Low	0.8	High	4	3.22	Mildly_elevated	6.96	Mildly_elevated	37.9	false	false	false
SYSIMMUNE_SAMPLE_00076	SSA_West	West	true	false	Female	58	Low	1.58	Normal	2.01	3.17	Markedly_elevated	42.32	Mildly_elevated	28.7	false	false	true
SYSIMMUNE_SAMPLE_00077	SSA_West	West	true	false	Female	45	Low	1.73	Normal	1.98	3.43	Normal	3.66	Markedly_elevated	89.4	false	false	true
SYSIMMUNE_SAMPLE_00078	SSA_West	West	true	false	Female	52	Low	1.53	Low	1.24	1.89	Normal	0.37	Normal	7.5	false	true	false
SYSIMMUNE_SAMPLE_00079	SSA_West	West	true	false	Female	57	Intermediate	3.1	Normal	2.44	7.57	Markedly_elevated	40.36	Markedly_elevated	79.2	false	false	true
SYSIMMUNE_SAMPLE_00080	SSA_West	West	true	false	Female	47	Intermediate	3.91	Normal	1.84	7.18	Mildly_elevated	4.42	Normal	15.4	false	false	false
SYSIMMUNE_SAMPLE_00081	SSA_West	West	true	false	Female	55	Low	2.16	Normal	2.58	5.57	Mildly_elevated	12.39	Mildly_elevated	22.2	false	false	false
SYSIMMUNE_SAMPLE_00082	SSA_West	West	true	false	Female	43	Intermediate	2.97	Normal	1.92	5.71	Normal	0.86	Normal	13.9	false	false	false
SYSIMMUNE_SAMPLE_00083	SSA_West	West	true	false	Female	46	Low	1.79	Normal	1.37	2.46	Normal	0.76	Mildly_elevated	39.3	false	false	false
SYSIMMUNE_SAMPLE_00084	SSA_West	West	true	false	Female	46	High	5.14	Normal	1.51	7.79	Normal	1.51	Mildly_elevated	34.4	true	false	true
SYSIMMUNE_SAMPLE_00085	SSA_West	West	true	false	Female	37	Intermediate	2.77	Normal	1.82	5.03	Mildly_elevated	5.23	Mildly_elevated	46.8	false	false	false
SYSIMMUNE_SAMPLE_00086	SSA_West	West	true	false	Female	55	High	6.01	Normal	1.83	11.02	Mildly_elevated	7.02	Normal	25	true	false	true
SYSIMMUNE_SAMPLE_00087	SSA_West	West	true	false	Female	45	High	7.36	Normal	1.87	13.74	Markedly_elevated	31.66	Markedly_elevated	74.2	true	false	true
SYSIMMUNE_SAMPLE_00088	SSA_West	West	true	false	Male	50	Low	2.02	Normal	1.76	3.56	Markedly_elevated	28.59	Markedly_elevated	49.6	false	false	true
SYSIMMUNE_SAMPLE_00089	SSA_West	West	true	false	Female	55	Low	2.05	Normal	1.93	3.96	Normal	1.9	Mildly_elevated	30.5	false	false	false
SYSIMMUNE_SAMPLE_00090	SSA_West	West	true	false	Female	55	High	7.21	Normal	1.32	9.53	Mildly_elevated	5.63	Normal	10	true	false	true
SYSIMMUNE_SAMPLE_00091	SSA_West	West	true	false	Female	57	Intermediate	3.01	High	3.58	10.77	Markedly_elevated	44.04	Normal	24.5	false	false	true
SYSIMMUNE_SAMPLE_00092	SSA_West	West	true	false	Female	49	High	3.72	Normal	1.95	7.25	Markedly_elevated	34.37	Normal	14.4	true	false	true
SYSIMMUNE_SAMPLE_00093	SSA_West	West	true	false	Female	45	Intermediate	3.83	Normal	2.33	8.91	Normal	1.88	Normal	12.8	false	false	false
SYSIMMUNE_SAMPLE_00094	SSA_West	West	true	false	Female	49	High	5.72	Normal	1.91	10.93	Markedly_elevated	34.35	Normal	22	true	false	true
SYSIMMUNE_SAMPLE_00095	SSA_West	West	true	false	Female	31	High	6.97	Normal	1.55	10.82	Normal	3.15	Mildly_elevated	34.2	true	false	true
SYSIMMUNE_SAMPLE_00096	SSA_West	West	true	false	Female	34	High	5.62	Normal	1.53	8.59	Markedly_elevated	44.71	Mildly_elevated	15	true	false	true
SYSIMMUNE_SAMPLE_00097	SSA_West	West	true	false	Female	35	Intermediate	1.47	Normal	1.37	2.01	Markedly_elevated	40.26	Mildly_elevated	38	false	false	true
SYSIMMUNE_SAMPLE_00098	SSA_West	West	true	false	Female	39	High	4.38	Normal	1.41	6.15	Markedly_elevated	38.69	Normal	3.1	true	false	true
SYSIMMUNE_SAMPLE_00099	SSA_West	West	true	false	Female	54	Intermediate	2.87	Normal	2.08	5.97	Mildly_elevated	8.03	Normal	12.6	false	false	false
SYSIMMUNE_SAMPLE_00100	SSA_West	West	true	false	Female	40	Intermediate	3.07	Normal	1.33	4.09	Normal	2.87	Normal	8	false	false	false

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SSA Breast Systemic Immune Markers Dataset (Women, Multi-ancestry) | Africa (Electric Sheep Africa metadata inventory)

Size category: 10K<n<100K - Formats: parquet - Sector: health - Engineered by Electric Sheep Africa

TL;DR

This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.

What This Dataset Covers

Health datasets help researchers examine disease burden, service delivery, risk factors, outcomes, and public-health program performance.

Dataset context from the existing Hugging Face card: SSA Breast Systemic Immune Markers Dataset (Women, Multi-ancestry, Synthetic) Dataset summary This dataset provides a synthetic cohort of invasive breast cancers in women across multiple ancestry groups, with emphasis on sub-Saharan Africa (SSA) and comparable reference populations. Each tumour is linked to systemic immune and inflammation markers derived from complete blood counts and standard laboratory tests: Neutrophil-to-lymphocyte ratio (NLR) – category and… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/ssa-breast-systemic-immune-markers.

Dataset Profile

Field	Value
Hugging Face repo	`electricsheepafrica/ssa-breast-systemic-immune-markers`
Sector	health
Topic tags	systemic-inflammation, NLR, lymphocytes, CRP, ESR, breast-cancer, sub-saharan-africa
Modalities	`tabular`, `text`
Formats	`parquet`
Size category	`10K<n<100K`
Countries	Africa-wide or source-defined African coverage
ISO3 coverage	`not declared`
Last modified on HF	`2025-11-25 10:36:10+00:00`
Inventory snapshot	`2026-07-16T16:00:34Z`

How To Read This Dataset

Start from the repository files and the dataset viewer when available.
Treat the README context as a fast orientation layer; confirm variable definitions and units in the data files before modeling.
Use explicit country columns when present. When geography is only implied by the title or source metadata, document that assumption in downstream analysis.
Preserve missing values until you have a defensible imputation rule.

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/ssa-breast-systemic-immune-markers")
print(ds)

split_name = next(iter(ds))
table = ds[split_name]
print(table.features)
print(table[:3])

Convert To Pandas When Tabular

from datasets import Dataset

first_split = ds[next(iter(ds))]
if isinstance(first_split, Dataset):
    df = first_split.to_pandas()
    print(df.head())

Data Quality Notes

This card was standardized from the Electric Sheep Africa Hugging Face metadata inventory.
Exact schema, row counts, and source files should be inspected in the repository data files.
Metadata gaps from the inventory: country, upstream_publisher.
Do not infer policy meaning from labels alone; confirm definitions, units, and methods in the source material.

Source And Provenance

Source context: Electric Sheep Africa metadata inventory
Publisher/source attribution: Public dataset metadata
License: cc-by-nc-4.0
Hugging Face URL: https://huggingface.co/datasets/electricsheepafrica/ssa-breast-systemic-immune-markers
Inventory retrieved at: 2026-07-16T16:00:34Z

Suggested Analyses

Inspect schema and missingness before modeling.
Profile variables by geography, time, and subgroup columns where present.
Join with other Electric Sheep Africa datasets using explicit country, year, and indicator fields when available.
Build reproducible notebooks that cite both the original source context and the Electric Sheep Africa Hugging Face repo.

Citation

@misc{electric_sheep_africa_ssa_breast_systemic_immune_markers_2026,
  title        = {SSA Breast Systemic Immune Markers Dataset (Women, Multi-ancestry) | Africa (Electric Sheep Africa metadata inventory)},
  author       = {Public dataset metadata},
  year         = {2026},
  url          = {https://huggingface.co/datasets/electricsheepafrica/ssa-breast-systemic-immune-markers},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/ssa-breast-systemic-immune-markers}}
}

License

Released under cc-by-nc-4.0.

Original source rights remain with the original publisher or data provider. Electric Sheep Africa engineering standardizes discovery metadata, documentation, and usage guidance for analysis on Hugging Face.

About Electric Sheep Africa

Electric Sheep Africa publishes ML-ready African public datasets on Hugging Face.

Provenance: metadata-backed README standardized 2026-08-12 by the Electric Sheep Africa README system. Inventory source: catalog/esa_metadata_inventory/master_metadata.jsonl.

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Genomics

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A collection of datasets on genomics in Sub-Saharan Africa • 21 items • Updated Nov 26, 2025 • 1