Mali · Country Data Coverage
Collection
535 official ML-ready Mali open-data resources, plus related Electric Sheep Africa datasets. • 602 items • Updated
Datasets:
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hhid int64 | a1 int64 | a2 int64 | a3 int64 | weight float64 | p1 float64 | p2 int64 | p3a float64 | p3a_KG float64 | p3b float64 | p3_conv float64 | p4a float64 | p4a_KG float64 | p4b float64 | p4_conv float64 | p5 float64 | p6a float64 | p6a_KG float64 | p6b float64 | p6_conv float64 | p7a float64 | p7a_KG float64 | p7b float64 | p7_conv float64 | treat float64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
10,101,364 | 1 | 1 | 1 | 1.52 | 101 | 1 | 1 | 1 | 1 | 1 | 0 | null | null | null | null | 0 | null | null | null | 1 | 1 | 1 | 1 | 1 |
10,101,355 | 1 | 1 | 1 | 1.52 | 101 | 1 | 8 | 8 | 1 | 1 | 4 | 4 | 1 | 1 | 1,600 | 0 | null | null | null | 4 | 4 | 1 | 1 | 1 |
10,101,364 | 1 | 1 | 1 | 1.52 | 104 | 1 | 1 | 1 | 1 | 1 | 0 | null | null | null | null | 0 | null | null | null | 1 | 1 | 1 | 1 | 1 |
10,101,364 | 1 | 1 | 1 | 1.52 | 301 | 1 | 200 | 0.2 | 2 | 0.001 | 0 | null | null | null | null | 0 | null | null | null | 200 | 0.2 | 2 | 0.001 | 1 |
10,101,371 | 1 | 1 | 1 | 1.52 | 301 | 1 | 200 | 0.2 | 2 | 0.001 | 0 | null | null | null | null | 0 | null | null | null | 200 | 0.2 | 2 | 0.001 | 1 |
10,101,364 | 1 | 1 | 1 | 1.52 | 501 | 1 | 200 | 0.2 | 2 | 0.001 | 0 | null | null | null | null | 0 | null | null | null | 200 | 0.2 | 2 | 0.001 | 1 |
10,101,353 | 1 | 1 | 1 | 1.52 | 108 | 1 | 10 | 0.25 | 4 | 0.025 | 0 | null | null | null | null | 0 | null | null | null | 10 | 0.25 | 4 | 0.025 | 1 |
10,101,355 | 1 | 1 | 1 | 1.52 | 703 | 1 | 10 | 5 | 4 | 0.5 | 0 | null | null | null | null | 0 | null | null | null | 10 | 5 | 4 | 0.5 | 1 |
10,101,354 | 1 | 1 | 1 | 1.52 | 703 | 1 | 20 | 10 | 4 | 0.5 | 0 | null | null | null | null | 0 | null | null | null | 20 | 10 | 4 | 0.5 | 1 |
10,101,366 | 1 | 1 | 1 | 1.52 | 703 | 1 | 5 | 2.5 | 4 | 0.5 | 0 | null | null | null | null | 0 | null | null | null | 5 | 2.5 | 4 | 0.5 | 1 |
10,101,354 | 1 | 1 | 1 | 1.52 | 704 | 1 | 20 | 1.4 | 4 | 0.07 | 0 | null | null | null | null | 0 | null | null | null | 20 | 1.4 | 4 | 0.07 | 1 |
10,101,372 | 1 | 1 | 1 | 1.52 | 704 | 1 | 20 | 1.4 | 4 | 0.07 | 0 | null | null | null | null | 0 | null | null | null | 20 | 1.4 | 4 | 0.07 | 1 |
10,101,366 | 1 | 1 | 1 | 1.52 | 704 | 1 | 7 | 0.49 | 4 | 0.07 | 0 | null | null | null | null | 0 | null | null | null | 7 | 0.49 | 4 | 0.07 | 1 |
10,101,370 | 1 | 1 | 1 | 1.52 | 704 | 1 | 30 | 2.1 | 4 | 0.07 | 0 | null | null | null | null | 0 | null | null | null | 30 | 2.1 | 4 | 0.07 | 1 |
10,101,351 | 1 | 1 | 1 | 1.52 | 704 | 1 | 10 | 0.7 | 4 | 0.07 | 0 | null | null | null | null | 0 | null | null | null | 10 | 0.7 | 4 | 0.07 | 1 |
10,101,352 | 1 | 1 | 1 | 1.52 | 704 | 1 | 10 | 0.7 | 4 | 0.07 | 0 | null | null | null | null | 0 | null | null | null | 10 | 0.7 | 4 | 0.07 | 1 |
10,101,364 | 1 | 1 | 1 | 1.52 | 808 | 1 | 2 | 0.06 | 4 | 0.03 | 2 | 0.06 | 4 | 0.03 | 500 | 0 | null | null | null | 2 | 0.06 | 4 | 0.03 | 1 |
10,101,370 | 1 | 1 | 1 | 1.52 | 602 | 1 | 2 | null | 10 | null | 0 | null | null | null | null | 0 | null | null | null | 2 | null | 10 | null | 1 |
10,101,353 | 1 | 1 | 1 | 1.52 | 703 | 1 | 1 | null | 10 | null | 0 | null | null | null | null | 0 | null | null | null | 1 | null | 10 | null | 1 |
10,101,353 | 1 | 1 | 1 | 1.52 | 704 | 1 | 1 | null | 10 | null | 0 | null | null | null | null | 0 | null | null | null | 1 | null | 10 | null | 1 |
10,101,363 | 1 | 1 | 1 | 1.52 | 799 | 1 | 1 | null | 10 | null | 0 | null | null | null | null | 0 | null | null | null | 1 | null | 10 | null | 1 |
10,101,365 | 1 | 1 | 1 | 1.52 | 501 | 1 | 1 | null | 12 | null | 0 | null | null | null | null | 0 | null | null | null | 1 | null | 12 | null | 1 |
10,101,363 | 1 | 1 | 1 | 1.52 | 703 | 1 | 1 | null | 12 | null | 0 | null | null | null | null | 0 | null | null | null | 1 | null | 12 | null | 1 |
10,101,364 | 1 | 1 | 1 | 1.52 | 1,001 | 1 | 1 | null | 14 | null | 0 | null | null | null | null | 0 | null | null | null | 1 | null | 14 | null | 1 |
10,101,366 | 1 | 1 | 1 | 1.52 | 1,001 | 1 | 1 | null | 19 | null | 0 | null | null | null | null | 0 | null | null | null | 1 | null | 19 | null | 1 |
10,101,366 | 1 | 1 | 1 | 1.52 | 501 | 1 | 1 | null | 21 | null | 0 | null | null | null | null | 0 | null | null | null | 1 | null | 21 | null | 1 |
10,101,353 | 1 | 1 | 1 | 1.52 | 1,201 | 1 | 2 | 0.05 | 25 | 0.025 | 0 | null | null | null | null | 0 | null | null | null | 2 | 0.05 | 25 | 0.025 | 1 |
10,101,371 | 1 | 1 | 1 | 1.52 | 1,201 | 1 | 2 | 0.05 | 25 | 0.025 | 0 | null | null | null | null | 0 | null | null | null | 2 | 0.05 | 25 | 0.025 | 1 |
10,101,364 | 1 | 1 | 1 | 1.52 | 601 | 1 | 2 | 0.5 | 27 | 0.25 | 0 | null | null | null | null | 0 | null | null | null | 2 | 0.5 | 27 | 0.25 | 1 |
10,101,364 | 1 | 1 | 1 | 1.52 | 1,101 | 1 | 1 | null | 27 | null | 0 | null | null | null | null | 0 | null | null | null | 1 | null | 27 | null | 1 |
10,101,363 | 1 | 1 | 1 | 1.52 | 1,205 | 1 | 10 | null | 28 | null | 4 | null | 28 | null | 200 | 0 | null | null | null | 6 | null | 28 | null | 1 |
10,101,368 | 1 | 1 | 1 | 1.52 | 101 | 1 | 5 | 5 | 1 | 1 | 0 | null | null | null | null | 5 | 5 | 1 | 1 | 0 | null | null | null | 1 |
10,101,374 | 1 | 1 | 1 | 1.52 | 101 | 1 | 4 | 4 | 1 | 1 | 4 | 4 | 1 | 1 | 800 | 0 | null | null | null | 0 | null | null | null | 1 |
10,101,354 | 1 | 1 | 1 | 1.52 | 101 | 1 | 6 | 6 | 1 | 1 | 6 | 6 | 1 | 1 | 2,400 | 0 | null | null | null | 0 | null | null | null | 1 |
10,101,358 | 1 | 1 | 1 | 1.52 | 101 | 2 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 1 |
10,101,365 | 1 | 1 | 1 | 1.52 | 101 | 2 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 1 |
10,101,351 | 1 | 1 | 1 | 1.52 | 101 | 1 | 4 | 4 | 1 | 1 | 4 | 4 | 1 | 1 | 1,400 | 0 | null | null | null | 0 | null | null | null | 1 |
10,101,375 | 1 | 1 | 1 | 1.52 | 101 | 2 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 1 |
10,101,372 | 1 | 1 | 1 | 1.52 | 101 | 2 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 1 |
10,101,369 | 1 | 1 | 1 | 1.52 | 101 | 1 | 5 | 5 | 1 | 1 | 0 | null | null | null | null | 5 | 5 | 1 | 1 | 0 | null | null | null | 1 |
10,101,367 | 1 | 1 | 1 | 1.52 | 101 | 2 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 1 |
10,101,361 | 1 | 1 | 1 | 1.52 | 101 | 2 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 1 |
10,101,359 | 1 | 1 | 1 | 1.52 | 101 | 1 | 12 | 12 | 1 | 1 | 0 | null | null | null | null | 12 | 12 | 1 | 1 | 0 | null | null | null | 1 |
10,101,371 | 1 | 1 | 1 | 1.52 | 101 | 1 | 2 | 2 | 1 | 1 | 0 | null | null | null | null | 2 | 2 | 1 | 1 | 0 | null | null | null | 1 |
10,101,363 | 1 | 1 | 1 | 1.52 | 101 | 2 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 1 |
10,101,356 | 1 | 1 | 1 | 1.52 | 101 | 2 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 1 |
10,101,370 | 1 | 1 | 1 | 1.52 | 101 | 2 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 1 |
10,101,360 | 1 | 1 | 1 | 1.52 | 101 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 400 | 0 | null | null | null | 0 | null | null | null | 1 |
10,101,362 | 1 | 1 | 1 | 1.52 | 101 | 1 | 10 | 10 | 1 | 1 | 0 | null | null | null | null | 10 | 10 | 1 | 1 | 0 | null | null | null | 1 |
10,101,353 | 1 | 1 | 1 | 1.52 | 101 | 1 | 5 | 5 | 1 | 1 | 0 | null | null | null | null | 5 | 5 | 1 | 1 | 0 | null | null | null | 1 |
10,101,366 | 1 | 1 | 1 | 1.52 | 101 | 2 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 1 |
10,101,357 | 1 | 1 | 1 | 1.52 | 101 | 2 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 1 |
10,101,352 | 1 | 1 | 1 | 1.52 | 101 | 2 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 1 |
10,101,373 | 1 | 1 | 1 | 1.52 | 101 | 2 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 1 |
10,101,354 | 1 | 1 | 1 | 1.52 | 102 | 2 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 1 |
10,101,352 | 1 | 1 | 1 | 1.52 | 102 | 2 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 1 |
10,101,367 | 1 | 1 | 1 | 1.52 | 102 | 2 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 1 |
10,101,364 | 1 | 1 | 1 | 1.52 | 102 | 2 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 1 |
10,101,371 | 1 | 1 | 1 | 1.52 | 102 | 2 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 1 |
10,101,355 | 1 | 1 | 1 | 1.52 | 102 | 2 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 1 |
10,101,351 | 1 | 1 | 1 | 1.52 | 102 | 2 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 1 |
10,101,368 | 1 | 1 | 1 | 1.52 | 102 | 2 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 1 |
10,101,375 | 1 | 1 | 1 | 1.52 | 102 | 2 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 1 |
10,101,366 | 1 | 1 | 1 | 1.52 | 102 | 2 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 1 |
10,101,369 | 1 | 1 | 1 | 1.52 | 102 | 2 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 1 |
10,101,356 | 1 | 1 | 1 | 1.52 | 102 | 2 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 1 |
10,101,374 | 1 | 1 | 1 | 1.52 | 102 | 2 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 1 |
10,101,365 | 1 | 1 | 1 | 1.52 | 102 | 2 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 1 |
10,101,357 | 1 | 1 | 1 | 1.52 | 102 | 2 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 1 |
10,101,373 | 1 | 1 | 1 | 1.52 | 102 | 2 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 1 |
10,101,353 | 1 | 1 | 1 | 1.52 | 102 | 2 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 1 |
10,101,372 | 1 | 1 | 1 | 1.52 | 102 | 2 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 1 |
10,101,370 | 1 | 1 | 1 | 1.52 | 102 | 2 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 1 |
10,101,359 | 1 | 1 | 1 | 1.52 | 102 | 2 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 1 |
10,101,363 | 1 | 1 | 1 | 1.52 | 102 | 2 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 1 |
10,101,358 | 1 | 1 | 1 | 1.52 | 102 | 2 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 1 |
10,101,362 | 1 | 1 | 1 | 1.52 | 102 | 2 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 1 |
10,101,360 | 1 | 1 | 1 | 1.52 | 102 | 2 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 1 |
10,101,361 | 1 | 1 | 1 | 1.52 | 102 | 2 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 1 |
10,101,353 | 1 | 1 | 1 | 1.52 | 103 | 2 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 1 |
10,101,372 | 1 | 1 | 1 | 1.52 | 103 | 2 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 1 |
10,101,369 | 1 | 1 | 1 | 1.52 | 103 | 1 | 21 | 21 | 1 | 1 | 0 | null | null | null | null | 21 | 21 | 1 | 1 | 0 | null | null | null | 1 |
10,101,365 | 1 | 1 | 1 | 1.52 | 103 | 1 | 1 | 50 | 8 | 50 | 0 | null | null | null | null | 1 | 50 | 8 | 50 | 0 | null | null | null | 1 |
10,101,366 | 1 | 1 | 1 | 1.52 | 103 | 1 | 1 | null | 10 | null | 0 | null | null | null | null | 1 | null | 10 | null | 0 | null | null | null | 1 |
10,101,361 | 1 | 1 | 1 | 1.52 | 103 | 1 | 25 | 25 | 1 | 1 | 0 | null | null | null | null | 25 | 25 | 1 | 1 | 0 | null | null | null | 1 |
10,101,355 | 1 | 1 | 1 | 1.52 | 103 | 1 | 1 | 50 | 8 | 50 | 0 | null | null | null | null | 1 | 50 | 8 | 50 | 0 | null | null | null | 1 |
10,101,357 | 1 | 1 | 1 | 1.52 | 103 | 1 | 10 | 10 | 1 | 1 | 0 | null | null | null | null | 10 | 10 | 1 | 1 | 0 | null | null | null | 1 |
10,101,352 | 1 | 1 | 1 | 1.52 | 103 | 2 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 1 |
10,101,370 | 1 | 1 | 1 | 1.52 | 103 | 2 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 1 |
10,101,375 | 1 | 1 | 1 | 1.52 | 103 | 1 | 25 | 25 | 1 | 1 | 0 | null | null | null | null | 25 | 25 | 1 | 1 | 0 | null | null | null | 1 |
10,101,356 | 1 | 1 | 1 | 1.52 | 103 | 1 | 20 | 20 | 1 | 1 | 0 | null | null | null | null | 20 | 20 | 1 | 1 | 0 | null | null | null | 1 |
10,101,360 | 1 | 1 | 1 | 1.52 | 103 | 1 | 7 | 7 | 1 | 1 | 0 | null | null | null | null | 7 | 7 | 1 | 1 | 0 | null | null | null | 1 |
10,101,364 | 1 | 1 | 1 | 1.52 | 103 | 2 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 1 |
10,101,373 | 1 | 1 | 1 | 1.52 | 103 | 1 | 14 | 14 | 1 | 1 | 0 | null | null | null | null | 14 | 14 | 1 | 1 | 0 | null | null | null | 1 |
10,101,374 | 1 | 1 | 1 | 1.52 | 103 | 1 | 14 | 14 | 1 | 1 | 0 | null | null | null | null | 14 | 14 | 1 | 1 | 0 | null | null | null | 1 |
10,101,351 | 1 | 1 | 1 | 1.52 | 103 | 2 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 1 |
10,101,362 | 1 | 1 | 1 | 1.52 | 103 | 1 | 1 | null | 10 | null | 0 | null | null | null | null | 1 | null | 10 | null | 0 | null | null | null | 1 |
10,101,363 | 1 | 1 | 1 | 1.52 | 103 | 2 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 1 |
10,101,371 | 1 | 1 | 1 | 1.52 | 103 | 2 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 1 |
10,101,354 | 1 | 1 | 1 | 1.52 | 103 | 2 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 1 |
End of preview. Expand in Data Studio
Mali Africa Research in Sustainable Intensification for the Next Generation (Afr | Africa (Electric Sheep Africa metadata inventory)
Size category: 10K<n<100K - Formats: parquet - Sector: agriculture_food - 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
Public datasets help analysts inspect structured evidence, build reproducible workflows, and compare patterns across domains.
Dataset context from the existing Hugging Face card: Mali Africa Research in Sustainable Intensification for the Next Generation (Africa RISING) Baseline Evaluation Survey Source: Harvard Dataverse — doi:10.7910/DVN/UDKSBJ Publisher: Africa RISING Dataverse Authors: International Food Policy Research Institute (IFPRI) Files in dataset: 47 As part of the US government’s Feed the Future initiative that aims to address global hunger and food security issues in sub-Saharan Africa, the US Agency for International Development is supporting… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-arising-mali-africa-research-in-sustainable-intensification-for.
Dataset Profile
| Field | Value |
|---|---|
| Hugging Face repo | electricsheepafrica/africa-arising-mali-africa-research-in-sustainable-intensification-for |
| Sector | agriculture_food |
| Topic tags | africa-rising, ifpri, household-survey, agriculture |
| Modalities | tabular |
| Formats | parquet |
| Size category | 10K<n<100K |
| Countries | Mali |
| ISO3 coverage | MLI |
| Last modified on HF | 2026-05-07 07:06:01+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-arising-mali-africa-research-in-sustainable-intensification-for")
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: 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: Source-specific or other license
- Hugging Face URL: https://huggingface.co/datasets/electricsheepafrica/africa-arising-mali-africa-research-in-sustainable-intensification-for
- 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_arising_mali_africa_research_in_sustainable_intensification_for_2026,
title = {Mali Africa Research in Sustainable Intensification for the Next Generation (Afr | Africa (Electric Sheep Africa metadata inventory)},
author = {Public dataset metadata},
year = {2026},
url = {https://huggingface.co/datasets/electricsheepafrica/africa-arising-mali-africa-research-in-sustainable-intensification-for},
publisher = {Hugging Face Datasets, engineered by Electric Sheep Africa},
howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-arising-mali-africa-research-in-sustainable-intensification-for}}
}
License
Released under Source-specific or other license.
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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