Datasets:
sample_id stringlengths 12 12 | population stringclasses 5
values | country stringclasses 19
values | age int64 18 85 | age_group stringclasses 3
values | ER_status stringclasses 2
values | PR_status stringclasses 2
values | HER2_status stringclasses 2
values | subtype stringclasses 6
values | ER_percentage int64 0 100 | PR_percentage int64 0 100 | HER2_score stringclasses 4
values | tumor_grade int64 1 3 | tumor_size_cm float64 0.5 10.1 | lymph_node_status stringclasses 2
values | nodes_positive int64 0 11 | Ki67_index int64 0 100 | stage stringclasses 4
values | histology stringclasses 4
values | BMI float64 14 50 | BMI_category stringclasses 4
values | height_cm int64 140 185 | weight_kg float64 27.4 151 | waist_circumference_cm int64 50 135 | smoking_status stringclasses 3
values | alcohol_units_per_week float64 0 13.1 | physical_activity stringclasses 3
values | parity int64 0 12 | age_at_menarche int64 -2 18 | breastfeeding_months int64 0 60 | menopausal_status stringclasses 2
values | diabetes stringclasses 2
values | hypertension stringclasses 2
values | HIV_status stringclasses 2
values | tuberculosis_history stringclasses 2
values | family_history stringclasses 2
values | BRCA_mutation stringclasses 3
values | molecular_subtype stringclasses 4
values | treatment_eligible stringclasses 2
values | survival_months int64 6 50 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
BC_AFR_00000 | East_Africa | Kenya | 39 | Young | Negative | Negative | Negative | TNBC | 0 | 0 | 0 | 3 | 2.7 | Positive | 2 | 72 | III | other | 28.9 | Overweight | 170 | 83.5 | 102 | never | 4.4 | low | 5 | 14 | 25 | Pre | No | No | Negative | Yes | No | Negative | Basal-like | Yes | 22 |
BC_AFR_00001 | African_American | USA | 36 | Young | Positive | Positive | Positive | Luminal_B | 54 | 100 | 2+ | 3 | 6.3 | Positive | 5 | 10 | II | ductal | 23.6 | Normal | 172 | 69.8 | 86 | never | 5 | low | 6 | 13 | 18 | Pre | No | Yes | Negative | No | No | Unknown | Luminal B | Yes | 20 |
BC_AFR_00002 | Southern_Africa | Namibia | 48 | Middle | Positive | Positive | Negative | Luminal_A | 70 | 54 | 1+ | 1 | 2.1 | Negative | 0 | 0 | II | ductal | 26.8 | Overweight | 155 | 64.4 | 103 | never | 0 | low | 2 | 14 | 16 | Post | Yes | No | Negative | No | No | Unknown | Luminal A | Yes | 24 |
BC_AFR_00003 | East_Africa | Uganda | 56 | Middle | Negative | Negative | Negative | TNBC | 0 | 0 | 0 | 3 | 4.6 | Positive | 2 | 0 | IV | ductal | 40.4 | Obese | 168 | 114 | 106 | never | 0 | moderate | 3 | 15 | 0 | Pre | No | No | Negative | No | No | Unknown | Basal-like | No | 24 |
BC_AFR_00004 | West_Africa | Ghana | 42 | Middle | Negative | Negative | Negative | TNBC | 0 | 0 | 0 | 3 | 3.2 | Negative | 0 | 58 | I | ductal | 27.6 | Overweight | 163 | 73.3 | 86 | never | 1.3 | low | 3 | 16 | 0 | Pre | Yes | Yes | Negative | No | No | Unknown | Basal-like | Yes | 27 |
BC_AFR_00005 | West_Africa | Nigeria | 56 | Middle | Negative | Negative | Negative | TNBC | 0 | 0 | 1+ | 1 | 3.2 | Negative | 0 | 44 | II | ductal | 27.2 | Overweight | 170 | 78.6 | 95 | never | 0 | low | 5 | 15 | 11 | Post | No | Yes | Negative | No | No | Unknown | Basal-like | Yes | 30 |
BC_AFR_00006 | West_Africa | Nigeria | 65 | Older | Positive | Negative | Positive | ER_pos_PR_neg_HER2_pos | 67 | 0 | 3+ | 1 | 4 | Negative | 0 | 0 | I | ductal | 26.1 | Overweight | 170 | 75.4 | 87 | never | 1.4 | low | 4 | 13 | 20 | Post | No | No | Negative | No | Yes | Unknown | Luminal B | Yes | 19 |
BC_AFR_00007 | Central_Africa | Cameroon | 55 | Middle | Positive | Positive | Positive | Luminal_B | 84 | 70 | 2+ | 1 | 2.2 | Negative | 0 | 35 | II | ductal | 21.2 | Normal | 166 | 58.4 | 102 | never | 4.8 | moderate | 3 | 18 | 1 | Pre | No | Yes | Negative | No | No | Unknown | Luminal B | Yes | 34 |
BC_AFR_00008 | Southern_Africa | Zimbabwe | 72 | Older | Positive | Positive | Positive | Luminal_B | 54 | 34 | 3+ | 2 | 3.2 | Negative | 0 | 45 | III | other | 33.1 | Obese | 166 | 91.2 | 92 | never | 3.3 | moderate | 3 | 14 | 33 | Post | Yes | No | Negative | No | No | Unknown | Luminal B | Yes | 22 |
BC_AFR_00009 | Southern_Africa | Zimbabwe | 32 | Young | Negative | Negative | Negative | TNBC | 0 | 0 | 1+ | 3 | 4.7 | Negative | 0 | 80 | III | ductal | 33.1 | Obese | 163 | 87.9 | 100 | never | 1.7 | low | 0 | 12 | 0 | Pre | No | No | Positive | No | Yes | Unknown | Basal-like | Yes | 30 |
BC_AFR_00010 | West_Africa | Benin | 61 | Older | Positive | Positive | Negative | Luminal_A | 100 | 63 | 0 | 2 | 0.8 | Negative | 0 | 5 | I | ductal | 32.9 | Obese | 157 | 81.1 | 102 | never | 0 | low | 7 | 14 | 35 | Post | Yes | No | Negative | Yes | Yes | Unknown | Luminal A | Yes | 26 |
BC_AFR_00011 | African_American | USA | 41 | Middle | Negative | Negative | Positive | HER2_enriched | 0 | 0 | 2+ | 3 | 4.5 | Negative | 0 | 33 | II | ductal | 39.2 | Obese | 157 | 96.6 | 96 | never | 0 | moderate | 0 | 13 | 0 | Pre | No | Yes | Negative | No | Yes | Positive | HER2-enriched | Yes | 17 |
BC_AFR_00012 | Central_Africa | CAR | 52 | Middle | Negative | Negative | Negative | TNBC | 0 | 0 | 0 | 2 | 4.7 | Negative | 0 | 81 | II | mixed | 35 | Obese | 157 | 86.3 | 80 | never | 0 | moderate | 1 | 10 | 8 | Post | No | Yes | Positive | No | No | Unknown | Basal-like | Yes | 19 |
BC_AFR_00013 | West_Africa | Senegal | 28 | Young | Positive | Positive | Negative | Luminal_A | 71 | 66 | 1+ | 1 | 2.5 | Positive | 2 | 29 | III | ductal | 23.2 | Normal | 175 | 71 | 65 | never | 0 | moderate | 2 | 14 | 25 | Pre | No | Yes | Negative | No | No | Negative | Luminal A | Yes | 27 |
BC_AFR_00014 | West_Africa | Ghana | 72 | Older | Negative | Negative | Negative | TNBC | 0 | 0 | 0 | 3 | 3.1 | Negative | 0 | 81 | II | other | 20.6 | Normal | 169 | 58.8 | 88 | never | 2.5 | low | 0 | 15 | 0 | Post | No | No | Negative | Yes | No | Unknown | Basal-like | Yes | 24 |
BC_AFR_00015 | West_Africa | Senegal | 38 | Young | Negative | Negative | Negative | TNBC | 0 | 0 | 0 | 3 | 5.2 | Positive | 2 | 78 | II | ductal | 24.8 | Normal | 171 | 72.5 | 80 | never | 2.4 | moderate | 3 | 13 | 3 | Pre | No | No | Negative | No | No | Unknown | Basal-like | Yes | 21 |
BC_AFR_00016 | West_Africa | Mali | 58 | Middle | Negative | Negative | Negative | TNBC | 0 | 0 | 1+ | 2 | 0.6 | Negative | 0 | 66 | II | ductal | 23.7 | Normal | 157 | 58.4 | 79 | never | 0 | low | 0 | 13 | 0 | Post | No | Yes | Negative | No | No | Unknown | Basal-like | Yes | 31 |
BC_AFR_00017 | East_Africa | Tanzania | 71 | Older | Positive | Positive | Positive | Luminal_B | 42 | 77 | 3+ | 3 | 6.3 | Positive | 1 | 29 | III | ductal | 28.6 | Overweight | 147 | 61.8 | 75 | never | 3.3 | low | 1 | 15 | 17 | Post | No | Yes | Negative | No | No | Unknown | Luminal B | Yes | 18 |
BC_AFR_00018 | East_Africa | Kenya | 47 | Middle | Negative | Negative | Negative | TNBC | 0 | 0 | 0 | 2 | 4 | Positive | 4 | 49 | I | mixed | 24.7 | Normal | 152 | 57.1 | 88 | never | 4.7 | low | 5 | 14 | 4 | Post | Yes | Yes | Positive | No | No | Unknown | Basal-like | Yes | 26 |
BC_AFR_00019 | West_Africa | Mali | 64 | Older | Negative | Negative | Negative | TNBC | 0 | 0 | 0 | 3 | 3.9 | Negative | 0 | 33 | II | ductal | 31.2 | Obese | 156 | 75.9 | 91 | never | 0 | low | 6 | 15 | 23 | Post | Yes | Yes | Negative | No | No | Unknown | Basal-like | Yes | 17 |
BC_AFR_00020 | Southern_Africa | South Africa | 31 | Young | Positive | Positive | Negative | Luminal_A | 68 | 100 | 1+ | 2 | 2.6 | Positive | 6 | 9 | IV | ductal | 37.4 | Obese | 164 | 100.6 | 116 | never | 1.6 | high | 2 | 16 | 8 | Pre | No | No | Negative | No | No | Unknown | Luminal A | No | 21 |
BC_AFR_00021 | West_Africa | Ghana | 59 | Middle | Negative | Negative | Negative | TNBC | 0 | 0 | 0 | 3 | 2.4 | Negative | 0 | 59 | II | ductal | 23.9 | Normal | 176 | 74 | 80 | never | 0 | low | 3 | 15 | 24 | Post | Yes | No | Negative | No | No | Unknown | Basal-like | Yes | 31 |
BC_AFR_00022 | West_Africa | Mali | 49 | Middle | Positive | Positive | Negative | Luminal_A | 60 | 46 | 0 | 2 | 3 | Negative | 0 | 23 | I | ductal | 35.6 | Obese | 173 | 106.5 | 106 | never | 3.4 | moderate | 4 | 15 | 37 | Pre | Yes | No | Negative | No | Yes | Negative | Luminal A | Yes | 24 |
BC_AFR_00023 | East_Africa | Tanzania | 45 | Middle | Positive | Positive | Negative | Luminal_A | 69 | 84 | 1+ | 1 | 0.5 | Positive | 1 | 11 | III | ductal | 26.2 | Overweight | 158 | 65.4 | 70 | current | 1.2 | low | 4 | 15 | 3 | Post | No | Yes | Negative | No | No | Unknown | Luminal A | Yes | 25 |
BC_AFR_00024 | East_Africa | Ethiopia | 39 | Young | Negative | Negative | Negative | TNBC | 0 | 0 | 0 | 2 | 6.4 | Positive | 3 | 46 | II | ductal | 23.4 | Normal | 163 | 62.2 | 84 | never | 0 | low | 5 | 16 | 30 | Pre | No | Yes | Negative | No | Yes | Unknown | Basal-like | Yes | 19 |
BC_AFR_00025 | Southern_Africa | Zimbabwe | 29 | Young | Positive | Positive | Positive | Luminal_B | 89 | 68 | 2+ | 2 | 4.9 | Positive | 2 | 41 | II | ductal | 24.5 | Normal | 162 | 64.3 | 95 | never | 2.3 | high | 5 | 14 | 15 | Pre | No | No | Negative | No | No | Unknown | Luminal B | Yes | 25 |
BC_AFR_00026 | West_Africa | Benin | 49 | Middle | Negative | Negative | Negative | TNBC | 0 | 0 | 0 | 2 | 3 | Negative | 0 | 41 | II | ductal | 20.3 | Normal | 163 | 53.9 | 75 | former | 5.4 | moderate | 3 | 13 | 28 | Post | No | No | Negative | No | No | Unknown | Basal-like | Yes | 31 |
BC_AFR_00027 | East_Africa | Ethiopia | 42 | Middle | Negative | Negative | Negative | TNBC | 0 | 0 | 0 | 2 | 3.6 | Positive | 4 | 46 | II | ductal | 32.4 | Obese | 160 | 82.9 | 84 | current | 2.4 | low | 4 | 14 | 3 | Pre | Yes | Yes | Negative | No | No | Unknown | Basal-like | Yes | 23 |
BC_AFR_00028 | East_Africa | Rwanda | 56 | Middle | Positive | Positive | Negative | Luminal_A | 53 | 62 | 0 | 2 | 1.8 | Negative | 0 | 14 | II | ductal | 23.9 | Normal | 166 | 65.9 | 73 | former | 0 | moderate | 4 | 14 | 14 | Post | No | Yes | Negative | No | No | Unknown | Luminal A | Yes | 28 |
BC_AFR_00029 | West_Africa | Benin | 51 | Middle | Positive | Positive | Negative | Luminal_A | 77 | 55 | 0 | 1 | 2.9 | Positive | 2 | 13 | III | ductal | 26 | Overweight | 164 | 69.9 | 81 | current | 5.6 | low | 5 | 14 | 31 | Post | No | No | Negative | No | No | Negative | Luminal A | Yes | 20 |
BC_AFR_00030 | Southern_Africa | Namibia | 52 | Middle | Negative | Negative | Negative | TNBC | 0 | 0 | 0 | 3 | 5.5 | Negative | 0 | 94 | III | ductal | 24.7 | Normal | 149 | 54.8 | 68 | former | 0.3 | moderate | 5 | 13 | 8 | Pre | Yes | No | Negative | No | No | Negative | Basal-like | Yes | 21 |
BC_AFR_00031 | West_Africa | Ghana | 56 | Middle | Negative | Negative | Positive | HER2_enriched | 0 | 0 | 2+ | 3 | 1.2 | Positive | 1 | 33 | IV | ductal | 26.5 | Overweight | 165 | 72.1 | 87 | never | 0 | moderate | 1 | 13 | 5 | Post | No | Yes | Negative | No | No | Unknown | HER2-enriched | Yes | 23 |
BC_AFR_00032 | West_Africa | Ghana | 34 | Young | Positive | Negative | Negative | ER_pos_PR_neg_HER2_neg | 37 | 0 | 1+ | 1 | 3.4 | Negative | 0 | 14 | II | ductal | 23 | Normal | 153 | 53.8 | 65 | never | 0 | moderate | 3 | 16 | 33 | Pre | No | Yes | Positive | No | No | Negative | Luminal A | Yes | 23 |
BC_AFR_00033 | African_American | USA | 28 | Young | Positive | Negative | Negative | ER_pos_PR_neg_HER2_neg | 81 | 0 | 0 | 2 | 3.4 | Positive | 3 | 28 | III | ductal | 19.6 | Normal | 173 | 58.7 | 86 | never | 0 | low | 0 | 13 | 0 | Pre | Yes | Yes | Negative | No | No | Unknown | Luminal A | Yes | 16 |
BC_AFR_00034 | African_American | USA | 35 | Young | Positive | Negative | Positive | ER_pos_PR_neg_HER2_pos | 59 | 0 | 3+ | 2 | 2.8 | Negative | 0 | 27 | II | ductal | 23.5 | Normal | 171 | 68.7 | 100 | never | 2.5 | moderate | 1 | 14 | 19 | Pre | No | Yes | Negative | No | No | Unknown | Luminal B | Yes | 26 |
BC_AFR_00035 | Central_Africa | CAR | 44 | Middle | Positive | Positive | Negative | Luminal_A | 79 | 88 | 0 | 2 | 3.8 | Negative | 0 | 21 | II | ductal | 23.8 | Normal | 168 | 67.2 | 92 | current | 0 | low | 7 | 16 | 13 | Pre | No | No | Negative | No | No | Negative | Luminal A | Yes | 23 |
BC_AFR_00036 | West_Africa | Burkina Faso | 35 | Young | Positive | Positive | Positive | Luminal_B | 86 | 100 | 2+ | 3 | 0.5 | Positive | 5 | 55 | II | mixed | 32.9 | Obese | 167 | 91.8 | 98 | never | 4.7 | high | 6 | 15 | 12 | Pre | No | No | Negative | No | No | Unknown | Luminal B | Yes | 32 |
BC_AFR_00037 | West_Africa | Mali | 31 | Young | Negative | Negative | Negative | TNBC | 0 | 0 | 1+ | 3 | 3.5 | Negative | 0 | 96 | II | ductal | 28.2 | Overweight | 159 | 71.3 | 84 | current | 3.2 | high | 1 | 12 | 6 | Pre | No | Yes | Negative | No | No | Negative | Basal-like | Yes | 32 |
BC_AFR_00038 | Southern_Africa | Zimbabwe | 28 | Young | Positive | Positive | Negative | Luminal_A | 60 | 45 | 0 | 1 | 2.4 | Negative | 0 | 14 | IV | ductal | 20.6 | Normal | 170 | 59.5 | 84 | never | 0.9 | high | 2 | 12 | 14 | Pre | No | No | Negative | No | No | Negative | Luminal A | Yes | 24 |
BC_AFR_00039 | East_Africa | Ethiopia | 45 | Middle | Positive | Positive | Negative | Luminal_A | 82 | 51 | 0 | 2 | 2.4 | Negative | 0 | 18 | II | ductal | 32.7 | Obese | 157 | 80.6 | 88 | never | 3.3 | moderate | 3 | 12 | 0 | Pre | No | Yes | Negative | No | No | Unknown | Luminal A | Yes | 25 |
BC_AFR_00040 | West_Africa | Nigeria | 44 | Middle | Positive | Positive | Negative | Luminal_A | 73 | 48 | 0 | 1 | 3.6 | Negative | 0 | 38 | IV | lobular | 18.1 | Underweight | 167 | 50.5 | 117 | never | 9 | low | 4 | 11 | 1 | Pre | No | No | Negative | No | No | Unknown | Luminal A | Yes | 30 |
BC_AFR_00041 | East_Africa | Uganda | 47 | Middle | Negative | Negative | Negative | TNBC | 0 | 0 | 0 | 3 | 4.1 | Negative | 0 | 53 | II | ductal | 21.1 | Normal | 162 | 55.4 | 71 | never | 1.7 | moderate | 3 | 14 | 24 | Post | No | Yes | Negative | Yes | No | Positive | Basal-like | Yes | 29 |
BC_AFR_00042 | West_Africa | Benin | 58 | Middle | Positive | Positive | Negative | Luminal_A | 86 | 30 | 1+ | 3 | 4.5 | Negative | 0 | 17 | I | ductal | 24.1 | Normal | 150 | 54.2 | 75 | never | 0 | moderate | 6 | 17 | 24 | Post | No | Yes | Negative | Yes | No | Unknown | Luminal A | Yes | 19 |
BC_AFR_00043 | African_American | USA | 48 | Middle | Positive | Positive | Negative | Luminal_A | 77 | 74 | 0 | 3 | 2.9 | Negative | 0 | 31 | I | ductal | 32.8 | Obese | 180 | 106.3 | 99 | never | 3.7 | low | 4 | 14 | 14 | Pre | No | Yes | Negative | No | No | Unknown | Luminal A | Yes | 26 |
BC_AFR_00044 | West_Africa | Nigeria | 54 | Middle | Positive | Positive | Negative | Luminal_A | 86 | 75 | 1+ | 2 | 3.4 | Negative | 0 | 25 | IV | ductal | 32.2 | Obese | 167 | 89.8 | 82 | never | 4.4 | low | 3 | 15 | 16 | Post | No | No | Negative | No | No | Unknown | Luminal A | No | 24 |
BC_AFR_00045 | Southern_Africa | Namibia | 56 | Middle | Positive | Negative | Negative | ER_pos_PR_neg_HER2_neg | 70 | 0 | 0 | 2 | 2.4 | Positive | 3 | 3 | II | mixed | 26.2 | Overweight | 148 | 57.4 | 83 | former | 2.1 | low | 5 | 14 | 21 | Post | No | Yes | Negative | No | No | Unknown | Luminal A | Yes | 21 |
BC_AFR_00046 | West_Africa | Nigeria | 32 | Young | Negative | Negative | Positive | HER2_enriched | 0 | 0 | 3+ | 3 | 4 | Positive | 1 | 82 | II | ductal | 22.2 | Normal | 169 | 63.4 | 77 | never | 4.9 | moderate | 1 | 15 | 26 | Pre | No | No | Negative | No | No | Unknown | HER2-enriched | Yes | 23 |
BC_AFR_00047 | East_Africa | Uganda | 74 | Older | Positive | Positive | Negative | Luminal_A | 80 | 21 | 0 | 2 | 5 | Negative | 0 | 7 | III | other | 17.7 | Underweight | 162 | 46.5 | 107 | never | 3.6 | moderate | 3 | 13 | 21 | Post | No | No | Positive | No | No | Unknown | Luminal A | Yes | 17 |
BC_AFR_00048 | East_Africa | Ethiopia | 36 | Young | Negative | Negative | Negative | TNBC | 0 | 0 | 1+ | 3 | 3.9 | Negative | 0 | 56 | III | ductal | 18.7 | Normal | 156 | 45.5 | 69 | never | 0.9 | high | 7 | 11 | 11 | Pre | No | No | Positive | No | No | Unknown | Basal-like | Yes | 26 |
BC_AFR_00049 | West_Africa | Burkina Faso | 46 | Middle | Positive | Positive | Negative | Luminal_A | 72 | 69 | 0 | 2 | 3 | Negative | 0 | 12 | II | ductal | 28 | Overweight | 165 | 76.2 | 79 | never | 1.1 | moderate | 0 | 13 | 0 | Post | No | No | Negative | No | No | Unknown | Luminal A | Yes | 18 |
BC_AFR_00050 | African_American | USA | 40 | Middle | Positive | Positive | Positive | Luminal_B | 54 | 80 | 3+ | 2 | 3.2 | Positive | 4 | 56 | III | ductal | 27.9 | Overweight | 164 | 75 | 91 | never | 0 | low | 2 | 16 | 7 | Pre | No | No | Negative | No | No | Negative | Luminal B | Yes | 25 |
BC_AFR_00051 | Southern_Africa | Zimbabwe | 46 | Middle | Positive | Positive | Negative | Luminal_A | 78 | 89 | 1+ | 2 | 0.5 | Negative | 0 | 26 | II | ductal | 31.7 | Obese | 164 | 85.3 | 108 | never | 2.2 | low | 5 | 15 | 0 | Pre | Yes | No | Positive | No | No | Unknown | Luminal A | Yes | 24 |
BC_AFR_00052 | African_American | USA | 64 | Older | Negative | Negative | Positive | HER2_enriched | 0 | 0 | 3+ | 3 | 1.3 | Negative | 0 | 30 | II | ductal | 17.8 | Underweight | 168 | 50.2 | 107 | never | 0.4 | low | 5 | 15 | 23 | Post | No | Yes | Negative | No | Yes | Negative | HER2-enriched | Yes | 19 |
BC_AFR_00053 | Central_Africa | DRC | 62 | Older | Negative | Negative | Negative | TNBC | 0 | 0 | 0 | 3 | 3.7 | Positive | 5 | 60 | III | ductal | 28.9 | Overweight | 161 | 74.9 | 90 | never | 0 | moderate | 3 | 12 | 34 | Post | No | No | Negative | No | No | Unknown | Basal-like | Yes | 25 |
BC_AFR_00054 | East_Africa | Kenya | 41 | Middle | Negative | Negative | Negative | TNBC | 0 | 0 | 0 | 3 | 3.4 | Positive | 1 | 39 | II | ductal | 36.3 | Obese | 164 | 97.6 | 85 | never | 8.3 | moderate | 0 | 16 | 0 | Pre | No | No | Negative | No | Yes | Unknown | Basal-like | Yes | 22 |
BC_AFR_00055 | African_American | USA | 29 | Young | Negative | Negative | Positive | HER2_enriched | 0 | 0 | 3+ | 3 | 0.5 | Positive | 1 | 46 | III | mixed | 36.3 | Obese | 156 | 88.3 | 96 | never | 0 | moderate | 6 | 13 | 35 | Pre | No | Yes | Negative | No | No | Negative | HER2-enriched | Yes | 26 |
BC_AFR_00056 | West_Africa | Senegal | 72 | Older | Negative | Negative | Positive | HER2_enriched | 0 | 0 | 3+ | 3 | 2.8 | Positive | 3 | 61 | II | ductal | 16.2 | Underweight | 162 | 42.5 | 79 | former | 3.4 | low | 3 | 13 | 16 | Post | No | No | Negative | No | No | Unknown | HER2-enriched | Yes | 30 |
BC_AFR_00057 | West_Africa | Benin | 66 | Older | Positive | Positive | Negative | Luminal_A | 95 | 62 | 0 | 1 | 3.5 | Negative | 0 | 13 | II | ductal | 19.2 | Normal | 161 | 49.8 | 94 | current | 0 | low | 2 | 14 | 16 | Post | No | No | Negative | No | No | Unknown | Luminal A | Yes | 20 |
BC_AFR_00058 | West_Africa | Benin | 18 | Young | Positive | Negative | Negative | ER_pos_PR_neg_HER2_neg | 37 | 0 | 0 | 3 | 1.3 | Negative | 0 | 0 | III | ductal | 29.3 | Overweight | 158 | 73.1 | 76 | never | 7.9 | moderate | 1 | 14 | 10 | Pre | No | Yes | Negative | No | No | Negative | Luminal A | Yes | 30 |
BC_AFR_00059 | West_Africa | Senegal | 50 | Middle | Negative | Negative | Negative | TNBC | 0 | 0 | 0 | 1 | 1 | Negative | 0 | 58 | I | ductal | 36.1 | Obese | 155 | 86.7 | 98 | former | 1.4 | low | 2 | 15 | 8 | Post | Yes | No | Negative | Yes | No | Unknown | Basal-like | Yes | 25 |
BC_AFR_00060 | East_Africa | Tanzania | 29 | Young | Positive | Positive | Positive | Luminal_B | 100 | 97 | 3+ | 3 | 2.6 | Positive | 3 | 24 | II | ductal | 25.6 | Overweight | 160 | 65.5 | 76 | never | 0 | moderate | 1 | 14 | 0 | Pre | No | Yes | Negative | No | No | Unknown | Luminal B | Yes | 29 |
BC_AFR_00061 | West_Africa | Senegal | 45 | Middle | Positive | Negative | Positive | ER_pos_PR_neg_HER2_pos | 60 | 0 | 3+ | 2 | 2.4 | Positive | 4 | 3 | IV | ductal | 28 | Overweight | 174 | 84.8 | 89 | never | 0 | high | 5 | 14 | 11 | Pre | No | Yes | Negative | No | No | Negative | Luminal B | Yes | 30 |
BC_AFR_00062 | Central_Africa | DRC | 50 | Middle | Negative | Negative | Positive | HER2_enriched | 0 | 0 | 3+ | 3 | 3.4 | Negative | 0 | 51 | III | ductal | 25.5 | Overweight | 157 | 62.9 | 92 | former | 0.2 | moderate | 7 | 14 | 19 | Pre | No | Yes | Negative | Yes | Yes | Unknown | HER2-enriched | Yes | 22 |
BC_AFR_00063 | East_Africa | Ethiopia | 55 | Middle | Positive | Negative | Positive | ER_pos_PR_neg_HER2_pos | 52 | 0 | 3+ | 2 | 4.6 | Positive | 3 | 19 | III | ductal | 29.4 | Overweight | 170 | 85 | 110 | former | 3.4 | moderate | 2 | 17 | 5 | Post | No | Yes | Negative | No | No | Unknown | Luminal B | Yes | 26 |
BC_AFR_00064 | West_Africa | Senegal | 25 | Young | Positive | Positive | Negative | Luminal_A | 100 | 69 | 0 | 1 | 3.7 | Negative | 0 | 7 | II | ductal | 29.1 | Overweight | 162 | 76.4 | 89 | never | 0.5 | low | 2 | 16 | 10 | Pre | Yes | No | Negative | No | No | Unknown | Luminal A | Yes | 17 |
BC_AFR_00065 | East_Africa | Uganda | 68 | Older | Positive | Positive | Negative | Luminal_A | 51 | 63 | 0 | 3 | 0.5 | Positive | 2 | 12 | III | ductal | 30.1 | Obese | 150 | 67.7 | 96 | never | 1.8 | low | 4 | 15 | 10 | Post | Yes | Yes | Negative | No | No | Unknown | Luminal A | Yes | 27 |
BC_AFR_00066 | West_Africa | Burkina Faso | 34 | Young | Negative | Negative | Positive | HER2_enriched | 0 | 0 | 2+ | 3 | 6.7 | Positive | 5 | 46 | IV | ductal | 23.3 | Normal | 162 | 61.1 | 58 | former | 2.2 | moderate | 2 | 14 | 23 | Pre | No | No | Negative | No | No | Unknown | HER2-enriched | Yes | 20 |
BC_AFR_00067 | Central_Africa | Cameroon | 41 | Middle | Positive | Positive | Negative | Luminal_A | 67 | 20 | 0 | 2 | 3.9 | Negative | 0 | 27 | II | ductal | 26.4 | Overweight | 168 | 74.5 | 82 | current | 0 | high | 5 | 17 | 34 | Pre | No | No | Negative | No | No | Negative | Luminal A | Yes | 19 |
BC_AFR_00068 | West_Africa | Nigeria | 50 | Middle | Negative | Negative | Negative | TNBC | 0 | 0 | 0 | 3 | 1.4 | Positive | 3 | 59 | II | other | 26.8 | Overweight | 159 | 67.8 | 80 | never | 2.8 | high | 4 | 14 | 13 | Post | No | No | Negative | No | No | Unknown | Basal-like | Yes | 24 |
BC_AFR_00069 | African_American | USA | 40 | Middle | Positive | Positive | Negative | Luminal_A | 94 | 60 | 0 | 1 | 4 | Negative | 0 | 26 | IV | ductal | 19.3 | Normal | 148 | 42.3 | 85 | never | 4 | moderate | 3 | 14 | 0 | Pre | No | Yes | Negative | No | Yes | Unknown | Luminal A | No | 22 |
BC_AFR_00070 | Southern_Africa | Botswana | 54 | Middle | Negative | Negative | Negative | TNBC | 0 | 0 | 0 | 3 | 3.4 | Negative | 0 | 83 | II | other | 39 | Obese | 178 | 123.6 | 112 | never | 0.6 | moderate | 2 | 17 | 10 | Post | Yes | Yes | Negative | Yes | No | Unknown | Basal-like | Yes | 29 |
BC_AFR_00071 | West_Africa | Nigeria | 52 | Middle | Positive | Positive | Negative | Luminal_A | 94 | 61 | 1+ | 1 | 5.9 | Negative | 0 | 19 | III | ductal | 26.6 | Overweight | 154 | 63.1 | 95 | never | 0 | low | 3 | 15 | 10 | Post | No | Yes | Negative | No | No | Negative | Luminal A | Yes | 20 |
BC_AFR_00072 | West_Africa | Senegal | 54 | Middle | Positive | Positive | Negative | Luminal_A | 98 | 49 | 0 | 2 | 2.9 | Negative | 0 | 1 | II | mixed | 35.2 | Obese | 163 | 93.5 | 93 | never | 1.5 | low | 1 | 14 | 23 | Pre | No | Yes | Negative | No | Yes | Unknown | Luminal A | Yes | 20 |
BC_AFR_00073 | Central_Africa | Cameroon | 51 | Middle | Positive | Positive | Positive | Luminal_B | 71 | 92 | 2+ | 2 | 1.9 | Positive | 4 | 53 | I | ductal | 25.9 | Overweight | 162 | 68 | 76 | never | 0 | high | 4 | 14 | 13 | Post | Yes | No | Positive | No | Yes | Negative | Luminal B | Yes | 23 |
BC_AFR_00074 | Southern_Africa | Namibia | 29 | Young | Positive | Positive | Positive | Luminal_B | 67 | 67 | 2+ | 2 | 1 | Positive | 2 | 37 | III | ductal | 37.6 | Obese | 165 | 102.4 | 101 | never | 4.5 | low | 3 | 12 | 17 | Pre | No | No | Negative | No | No | Negative | Luminal B | Yes | 22 |
BC_AFR_00075 | Southern_Africa | Namibia | 54 | Middle | Positive | Negative | Negative | ER_pos_PR_neg_HER2_neg | 94 | 0 | 1+ | 1 | 2.7 | Positive | 2 | 7 | III | ductal | 26.9 | Overweight | 165 | 73.2 | 96 | never | 3.6 | low | 5 | 16 | 0 | Post | No | No | Negative | No | No | Unknown | Luminal A | Yes | 25 |
BC_AFR_00076 | Southern_Africa | South Africa | 66 | Older | Positive | Positive | Negative | Luminal_A | 83 | 82 | 0 | 2 | 3.5 | Positive | 1 | 19 | III | mixed | 17 | Underweight | 169 | 48.6 | 91 | never | 2.8 | high | 2 | 12 | 0 | Post | No | No | Negative | No | No | Unknown | Luminal A | Yes | 23 |
BC_AFR_00077 | West_Africa | Mali | 39 | Young | Positive | Positive | Negative | Luminal_A | 46 | 80 | 0 | 1 | 2.1 | Negative | 0 | 22 | II | ductal | 23.6 | Normal | 158 | 58.9 | 93 | never | 0 | moderate | 1 | 14 | 11 | Pre | No | No | Negative | No | No | Unknown | Luminal A | Yes | 28 |
BC_AFR_00078 | East_Africa | Ethiopia | 47 | Middle | Positive | Positive | Negative | Luminal_A | 53 | 32 | 0 | 1 | 3.5 | Negative | 0 | 15 | II | ductal | 32 | Obese | 164 | 86.1 | 110 | former | 1.7 | moderate | 3 | 14 | 0 | Pre | No | No | Negative | Yes | No | Unknown | Luminal A | Yes | 23 |
BC_AFR_00079 | West_Africa | Nigeria | 60 | Older | Positive | Positive | Negative | Luminal_A | 66 | 70 | 0 | 1 | 2.3 | Positive | 1 | 11 | III | ductal | 29.4 | Overweight | 161 | 76.2 | 82 | never | 0 | low | 2 | 14 | 19 | Post | No | Yes | Negative | No | No | Unknown | Luminal A | Yes | 22 |
BC_AFR_00080 | Central_Africa | CAR | 60 | Older | Positive | Positive | Positive | Luminal_B | 48 | 70 | 3+ | 3 | 1.8 | Positive | 3 | 45 | II | lobular | 16.3 | Underweight | 164 | 43.8 | 97 | former | 3.7 | moderate | 3 | 12 | 11 | Post | Yes | No | Negative | No | No | Negative | Luminal B | Yes | 23 |
BC_AFR_00081 | Southern_Africa | South Africa | 38 | Young | Negative | Negative | Negative | TNBC | 0 | 0 | 1+ | 2 | 1.5 | Negative | 0 | 71 | II | mixed | 31.2 | Obese | 154 | 74 | 110 | former | 3.9 | low | 5 | 13 | 1 | Pre | No | No | Negative | No | No | Unknown | Basal-like | Yes | 28 |
BC_AFR_00082 | West_Africa | Senegal | 36 | Young | Positive | Positive | Negative | Luminal_A | 80 | 36 | 0 | 1 | 1.5 | Negative | 0 | 2 | I | mixed | 18.4 | Underweight | 164 | 49.5 | 95 | never | 4.6 | low | 6 | 16 | 19 | Pre | No | No | Negative | No | No | Unknown | Luminal A | Yes | 20 |
BC_AFR_00083 | West_Africa | Mali | 48 | Middle | Positive | Positive | Negative | Luminal_A | 80 | 49 | 0 | 2 | 2.1 | Negative | 0 | 8 | II | ductal | 40.9 | Obese | 169 | 116.8 | 107 | never | 1.8 | high | 2 | 14 | 25 | Pre | Yes | Yes | Negative | No | No | Unknown | Luminal A | Yes | 21 |
BC_AFR_00084 | West_Africa | Ghana | 52 | Middle | Positive | Positive | Negative | Luminal_A | 96 | 50 | 0 | 2 | 1.9 | Negative | 0 | 12 | I | ductal | 34.7 | Obese | 162 | 91.1 | 86 | never | 0.8 | low | 3 | 13 | 3 | Post | Yes | No | Negative | No | No | Unknown | Luminal A | Yes | 20 |
BC_AFR_00085 | West_Africa | Nigeria | 58 | Middle | Negative | Negative | Positive | HER2_enriched | 0 | 0 | 2+ | 3 | 1.8 | Positive | 2 | 56 | II | other | 29.8 | Overweight | 166 | 82.1 | 92 | never | 0 | high | 2 | 12 | 47 | Post | No | No | Positive | No | Yes | Unknown | HER2-enriched | Yes | 17 |
BC_AFR_00086 | Southern_Africa | Namibia | 20 | Young | Positive | Positive | Negative | Luminal_A | 91 | 74 | 1+ | 2 | 5.6 | Negative | 0 | 16 | I | ductal | 27.9 | Overweight | 155 | 67 | 87 | never | 0 | moderate | 3 | 15 | 31 | Pre | No | No | Negative | No | Yes | Unknown | Luminal A | Yes | 24 |
BC_AFR_00087 | Southern_Africa | Zimbabwe | 44 | Middle | Positive | Positive | Positive | Luminal_B | 77 | 39 | 2+ | 3 | 3.6 | Positive | 5 | 43 | III | ductal | 28.2 | Overweight | 156 | 68.6 | 74 | former | 0 | high | 1 | 15 | 18 | Pre | No | Yes | Positive | No | No | Negative | Luminal B | Yes | 27 |
BC_AFR_00088 | Central_Africa | DRC | 48 | Middle | Positive | Positive | Negative | Luminal_A | 100 | 75 | 1+ | 3 | 4.3 | Positive | 3 | 12 | IV | lobular | 27.4 | Overweight | 167 | 76.4 | 107 | current | 0 | moderate | 7 | 14 | 16 | Pre | No | No | Negative | No | Yes | Unknown | Luminal A | Yes | 22 |
BC_AFR_00089 | East_Africa | Ethiopia | 26 | Young | Positive | Positive | Negative | Luminal_A | 71 | 100 | 0 | 2 | 1.6 | Positive | 7 | 9 | III | ductal | 30.3 | Obese | 162 | 79.5 | 87 | never | 1.8 | low | 1 | 12 | 30 | Pre | No | Yes | Positive | No | No | Negative | Luminal A | Yes | 23 |
BC_AFR_00090 | West_Africa | Mali | 50 | Middle | Positive | Positive | Negative | Luminal_A | 62 | 45 | 0 | 1 | 3.5 | Positive | 2 | 20 | III | ductal | 29.6 | Overweight | 156 | 72 | 93 | former | 6.4 | moderate | 2 | 16 | 37 | Post | No | No | Negative | No | Yes | Negative | Luminal A | Yes | 26 |
BC_AFR_00091 | Southern_Africa | Namibia | 38 | Young | Negative | Negative | Negative | TNBC | 0 | 0 | 1+ | 2 | 2.9 | Positive | 4 | 80 | IV | lobular | 37.2 | Obese | 154 | 88.2 | 92 | current | 10.9 | low | 2 | 15 | 7 | Pre | No | Yes | Positive | No | Yes | Unknown | Basal-like | No | 25 |
BC_AFR_00092 | Southern_Africa | Zimbabwe | 61 | Older | Positive | Negative | Negative | ER_pos_PR_neg_HER2_neg | 98 | 0 | 0 | 2 | 3.7 | Positive | 2 | 0 | III | ductal | 27 | Overweight | 165 | 73.5 | 69 | never | 9.9 | low | 2 | 17 | 16 | Post | No | No | Positive | Yes | No | Unknown | Luminal A | Yes | 20 |
BC_AFR_00093 | East_Africa | Tanzania | 43 | Middle | Negative | Negative | Positive | HER2_enriched | 0 | 0 | 2+ | 3 | 7.2 | Positive | 3 | 74 | II | mixed | 31.4 | Obese | 149 | 69.7 | 87 | never | 2.2 | moderate | 6 | 15 | 0 | Pre | No | Yes | Negative | No | Yes | Unknown | HER2-enriched | Yes | 21 |
BC_AFR_00094 | Southern_Africa | Botswana | 46 | Middle | Negative | Negative | Negative | TNBC | 0 | 0 | 0 | 3 | 4.1 | Positive | 1 | 68 | IV | ductal | 24.7 | Normal | 164 | 66.4 | 92 | current | 1.8 | moderate | 5 | 12 | 13 | Pre | No | Yes | Positive | Yes | No | Negative | Basal-like | Yes | 30 |
BC_AFR_00095 | East_Africa | Kenya | 31 | Young | Positive | Positive | Negative | Luminal_A | 85 | 44 | 0 | 1 | 3.4 | Negative | 0 | 19 | II | ductal | 24.6 | Normal | 159 | 62.2 | 86 | never | 3 | moderate | 4 | 13 | 18 | Pre | No | Yes | Positive | No | No | Unknown | Luminal A | Yes | 31 |
BC_AFR_00096 | East_Africa | Rwanda | 64 | Older | Negative | Negative | Positive | HER2_enriched | 0 | 0 | 3+ | 3 | 5.9 | Positive | 5 | 50 | II | ductal | 35.2 | Obese | 150 | 79.2 | 91 | never | 3.2 | low | 0 | 14 | 0 | Post | No | Yes | Negative | No | No | Unknown | HER2-enriched | Yes | 27 |
BC_AFR_00097 | East_Africa | Ethiopia | 60 | Older | Positive | Positive | Negative | Luminal_A | 56 | 100 | 1+ | 2 | 5.1 | Positive | 3 | 0 | III | mixed | 22.3 | Normal | 160 | 57.1 | 71 | former | 0 | low | 1 | 14 | 26 | Post | No | No | Negative | No | No | Negative | Luminal A | Yes | 28 |
BC_AFR_00098 | West_Africa | Ghana | 48 | Middle | Positive | Positive | Negative | Luminal_A | 89 | 48 | 0 | 2 | 0.6 | Negative | 0 | 14 | II | mixed | 14.5 | Underweight | 160 | 37.1 | 89 | never | 0 | low | 4 | 16 | 13 | Pre | Yes | Yes | Negative | No | No | Unknown | Luminal A | Yes | 24 |
BC_AFR_00099 | West_Africa | Burkina Faso | 44 | Middle | Negative | Negative | Negative | TNBC | 0 | 0 | 0 | 2 | 4.2 | Positive | 4 | 73 | III | ductal | 31.5 | Obese | 165 | 85.8 | 96 | never | 4.1 | low | 2 | 16 | 0 | Pre | No | No | Negative | No | No | Unknown | Basal-like | Yes | 30 |
Africa Synth Population Hormone Receptor African All | Africa (Electric Sheep Africa metadata inventory)
Size category: 10K<n<100K - Formats: csv - 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: ⚠️ Synthetic dataset — Parameterized from published SSA literature, not real observations. Not suitable for empirical analysis or policy inference. Hormone Receptor Status Distribution in African Breast Cancer Populations v1.0 Dataset Description Hormone Receptor Status Distribution in African Breast Cancer is a high-quality synthetic dataset representing 50,000 breast cancer cases from 5 African populations (West Africa, East Africa, Southern Africa, Central Africa… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-population-hormone-receptor-african-all.
Dataset Profile
| Field | Value |
|---|---|
| Hugging Face repo | electricsheepafrica/africa-synth-population-hormone-receptor-african-all |
| Sector | health |
| Topic tags | medical, oncology, breast-cancer, hormone-receptors, african-populations, synthetic-data, genomics, ER-PR-HER2, TNBC, synthetic |
| Modalities | tabular, text |
| Formats | csv |
| Size category | 10K<n<100K |
| Countries | Africa-wide or source-defined African coverage |
| ISO3 coverage | not declared |
| Last modified on HF | 2026-04-14 22:38:38+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/africa-synth-population-hormone-receptor-african-all")
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/africa-synth-population-hormone-receptor-african-all
- 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_africa_synth_population_hormone_receptor_african_all_2026,
title = {Africa Synth Population Hormone Receptor African All | Africa (Electric Sheep Africa metadata inventory)},
author = {Public dataset metadata},
year = {2026},
url = {https://huggingface.co/datasets/electricsheepafrica/africa-synth-population-hormone-receptor-african-all},
publisher = {Hugging Face Datasets, engineered by Electric Sheep Africa},
howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-synth-population-hormone-receptor-african-all}}
}
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.
- Downloads last month
- 23