Datasets:

EnRaoufi
/

warehouse-inventory-stratified-sample

id int64	warehouse_level string	warehouse_id string	warehouse_size_sqm int64	region_type string	has_WMS bool	has_temperature_monitoring bool	has_generator_backup bool	has_pest_control bool	has_security_system bool	staff_count int64	staff_trained_gdp int64	commodity_category string	storage_requirement string	criticality string	volume_share_pct float64	year int64	month int64	storage_conditions_adequate bool	inventory_accuracy_pct float64	stock_record_up_to_date bool	fefo_compliance bool	order_fulfilment_rate_pct float64	orders_received_month int64	orders_fulfilled_complete int64	orders_backordered int64	wastage_rate_pct float64	expired_stock_value_usd float64	damaged_goods_value_usd float64	capacity_utilisation_pct float64	overflow_to_other_space bool	temperature_excursion_month bool	pest_damage_reported bool	theft_reported bool	inventory_issue string	stockout_at_warehouse bool	facilities_affected_by_stockout int64	report_submitted bool	uid string
1	district_store	WH_0009	137	rural	false	false	false	false	false	2	0	essential_medicines	ambient	high	35	2,023	10	false	33.6	false	false	15.6	9	1	8	32.1	69	12	33.9	false	false	false	false	theft_pilferage	true	0	false	district_store:WH_0009
16	district_store	WH_0067	220	peri_urban	false	false	false	false	false	3	0	laboratory_reagents	cold_chain_2_8C	medium	5	2,024	3	false	23.7	false	false	36.8	5	1	4	21.6	335	24	37.3	false	true	false	false	theft_pilferage	false	0	false	district_store:WH_0067
21	district_store	WH_0067	173	peri_urban	false	false	false	false	false	1	0	surgical_supplies	ambient	medium	3	2,021	11	true	10	true	false	27	2	0	2	29.7	12	51	26.3	false	false	false	false	theft_pilferage	true	0	false	district_store:WH_0067
33	district_store	WH_0071	130	rural	false	false	true	false	false	1	1	surgical_supplies	ambient	medium	3	2,023	10	false	25.8	false	false	28.5	5	1	4	29.2	137	14	40.6	false	false	false	false	theft_pilferage	true	0	false	district_store:WH_0071
52	district_store	WH_0022	191	rural	false	false	false	false	false	7	0	laboratory_reagents	cold_chain_2_8C	medium	5	2,022	7	false	36	false	false	26.1	11	2	9	24.4	157	18	41.3	false	true	true	false	theft_pilferage	true	13	false	district_store:WH_0022
56	district_store	WH_0075	214	rural	false	false	false	false	false	3	0	PPE_IPC_supplies	ambient	medium	4	2,022	10	false	33.8	false	false	23.5	3	0	3	38.5	53	41	11.6	false	false	true	false	theft_pilferage	true	2	false	district_store:WH_0075
2	district_store	WH_0033	239	rural	false	false	false	false	false	3	0	ARVs	ambient	high	15	2,021	3	false	35.6	false	false	22.9	3	0	3	34.8	151	159	42.4	false	false	false	false	expired_stock	true	1	false	district_store:WH_0033
3	district_store	WH_0028	123	rural	false	false	false	false	false	4	1	vaccines	cold_chain_2_8C	critical	8	2,021	5	false	22.4	false	false	36.7	5	1	4	23.4	225	30	26.4	false	true	false	false	expired_stock	true	1	false	district_store:WH_0028
5	district_store	WH_0054	137	peri_urban	false	false	false	false	false	2	1	contraceptives	ambient	medium	8	2,023	2	false	18.1	false	false	44	4	1	3	27.7	114	43	42.4	false	false	false	false	expired_stock	false	0	false	district_store:WH_0054
8	district_store	WH_0012	267	rural	false	false	false	false	false	2	0	PPE_IPC_supplies	ambient	medium	4	2,021	5	false	16.2	true	false	36.5	2	0	2	28.8	12	0	47.1	false	false	false	false	expired_stock	true	5	false	district_store:WH_0012
13	district_store	WH_0091	192	peri_urban	false	false	false	false	false	5	0	essential_medicines	ambient	high	35	2,021	1	false	44.2	false	false	21.1	6	1	5	24.8	13	128	12.5	false	false	true	true	expired_stock	false	0	false	district_store:WH_0091
22	district_store	WH_0017	187	rural	false	false	false	false	false	2	0	nutrition_commodities	ambient	medium	3	2,022	1	false	37.2	true	false	36.7	2	0	2	31.4	3	2	52.1	false	false	true	false	expired_stock	false	0	false	district_store:WH_0017
4	district_store	WH_0046	204	rural	false	false	false	false	false	1	0	laboratory_reagents	cold_chain_2_8C	medium	5	2,022	11	false	13.7	false	false	24.2	2	0	2	22.6	67	42	52.6	false	true	false	false	stock_record_discrepancy	false	0	false	district_store:WH_0046
28	district_store	WH_0033	312	rural	false	false	false	false	false	3	0	laboratory_reagents	cold_chain_2_8C	medium	5	2,022	7	false	30.5	false	false	48	7	3	4	32.4	51	4	60.6	false	true	false	false	stock_record_discrepancy	true	0	false	district_store:WH_0033
35	district_store	WH_0075	225	rural	false	false	true	true	false	4	0	medical_devices_consumables	ambient	low	2	2,024	4	true	51.2	false	false	16.1	2	0	2	27.6	18	17	30.2	false	false	false	false	stock_record_discrepancy	true	1	false	district_store:WH_0075
39	district_store	WH_0070	310	urban	false	false	false	false	false	2	0	vaccines	cold_chain_2_8C	critical	8	2,023	4	false	36.9	false	true	43.1	7	3	4	32.1	1	81	24.5	false	true	false	false	stock_record_discrepancy	true	2	false	district_store:WH_0070
43	district_store	WH_0080	302	rural	false	false	false	false	false	2	0	IV_fluids	ambient	high	5	2,022	2	true	20.5	false	true	13.4	7	0	7	28.9	23	19	39.4	false	false	false	false	stock_record_discrepancy	true	2	false	district_store:WH_0080
46	district_store	WH_0024	140	rural	false	false	false	false	false	3	0	nutrition_commodities	ambient	medium	3	2,024	3	true	43.2	false	false	50.4	6	3	3	30.4	133	7	83.7	false	false	false	false	stock_record_discrepancy	true	2	false	district_store:WH_0024
6	district_store	WH_0041	225	rural	false	false	false	false	false	1	0	malaria_commodities	ambient	high	10	2,024	5	false	17.3	false	false	29.9	1	0	1	37	15	62	9.2	false	false	false	false	temperature_excursion	true	3	false	district_store:WH_0041
37	district_store	WH_0080	189	rural	false	false	false	false	false	2	0	essential_medicines	ambient	high	35	2,022	12	false	29.2	false	false	29.3	5	1	4	37.2	64	5	40.4	false	false	true	false	temperature_excursion	true	2	false	district_store:WH_0080
95	district_store	WH_0048	246	rural	false	false	false	false	false	2	0	medical_devices_consumables	ambient	low	2	2,021	8	false	25	false	false	5.6	6	0	6	30.9	66	11	41	false	false	false	false	temperature_excursion	false	0	false	district_store:WH_0048
113	district_store	WH_0032	231	rural	false	false	false	false	false	3	0	contraceptives	ambient	medium	8	2,024	11	false	31.8	false	false	41.6	3	1	2	26	99	15	46.6	false	false	false	false	temperature_excursion	false	0	false	district_store:WH_0032
143	district_store	WH_0042	196	rural	false	false	false	false	false	3	0	medical_devices_consumables	ambient	low	2	2,023	8	true	10	false	false	17.8	3	0	3	38.4	1	5	26	false	false	false	false	temperature_excursion	true	6	false	district_store:WH_0042
157	district_store	WH_0098	140	rural	false	false	true	false	false	1	0	essential_medicines	ambient	high	35	2,023	1	false	22.1	true	false	18.9	3	0	3	30.9	20	44	40.2	false	false	false	false	temperature_excursion	true	0	false	district_store:WH_0098
7	district_store	WH_0009	201	peri_urban	false	false	false	false	false	3	0	IV_fluids	ambient	high	5	2,023	9	true	29.1	false	false	58.2	4	2	2	36	186	19	7.8	false	false	false	false	FEFO_not_followed	false	0	false	district_store:WH_0009
18	district_store	WH_0062	135	peri_urban	false	false	false	false	false	5	1	malaria_commodities	ambient	high	10	2,024	10	false	37.8	false	false	37.7	6	2	4	21.6	15	2	43.5	false	false	false	false	FEFO_not_followed	false	0	false	district_store:WH_0062
24	district_store	WH_0006	203	rural	true	true	false	false	false	5	0	controlled_substances	secure_ambient	critical	2	2,022	3	false	26.5	false	false	45.4	9	4	5	31.1	2	35	43.8	false	false	false	true	FEFO_not_followed	true	1	true	district_store:WH_0006
30	district_store	WH_0033	177	rural	true	false	false	false	false	2	0	malaria_commodities	ambient	high	10	2,021	9	false	32.1	false	false	39.2	8	3	5	32.4	37	63	54.8	false	false	false	false	FEFO_not_followed	true	1	false	district_store:WH_0033
32	district_store	WH_0094	279	rural	false	false	true	false	false	3	0	PPE_IPC_supplies	ambient	medium	4	2,022	2	false	20.8	false	false	32.7	7	2	5	33.1	16	7	23.5	false	false	false	false	FEFO_not_followed	true	1	false	district_store:WH_0094
34	district_store	WH_0065	241	peri_urban	false	false	false	false	false	2	0	nutrition_commodities	ambient	medium	3	2,024	10	false	10	false	false	24.6	6	1	5	28.2	45	13	38.2	false	false	false	false	FEFO_not_followed	false	0	false	district_store:WH_0065
9	district_store	WH_0054	194	rural	false	false	true	false	false	2	0	surgical_supplies	ambient	medium	3	2,021	1	false	33.5	false	false	34	7	2	5	30.9	90	7	13.6	false	false	false	false	damaged_goods	true	2	false	district_store:WH_0054
15	district_store	WH_0062	179	rural	false	false	false	false	false	6	0	vaccines	cold_chain_2_8C	critical	8	2,021	4	false	32.4	false	false	25.4	2	0	2	20	406	21	53.4	false	true	false	false	damaged_goods	false	0	true	district_store:WH_0062
29	district_store	WH_0078	213	rural	false	false	false	false	false	3	0	contraceptives	ambient	medium	8	2,024	8	true	11.1	false	false	39.1	7	2	5	33.8	160	74	52.4	false	false	false	false	damaged_goods	true	2	true	district_store:WH_0078
31	district_store	WH_0044	154	rural	false	false	false	false	false	4	0	IV_fluids	ambient	high	5	2,022	8	false	33.3	false	false	23.2	2	0	2	24.6	231	50	38.8	false	false	false	false	damaged_goods	false	0	false	district_store:WH_0044
36	district_store	WH_0042	188	rural	false	false	false	false	false	5	0	controlled_substances	secure_ambient	critical	2	2,022	3	false	34.8	false	false	12.2	5	0	5	32.9	34	6	59.2	false	false	false	false	damaged_goods	true	3	false	district_store:WH_0042
45	district_store	WH_0063	178	rural	false	false	false	false	false	4	0	surgical_supplies	ambient	medium	3	2,024	12	false	36.8	false	false	26.7	4	1	3	35.1	89	3	37.7	false	false	false	true	damaged_goods	false	0	false	district_store:WH_0063
10	district_store	WH_0019	179	rural	false	false	false	false	false	5	0	nutrition_commodities	ambient	medium	3	2,023	9	false	28.8	false	true	57.3	5	2	3	33.2	67	43	40.5	false	false	false	true	overstocking	true	0	false	district_store:WH_0019
23	district_store	WH_0069	205	rural	false	false	false	false	false	6	0	medical_devices_consumables	ambient	low	2	2,023	11	false	35.6	false	true	35.1	1	0	1	27.2	331	74	65.9	false	false	false	false	overstocking	true	0	false	district_store:WH_0069
25	district_store	WH_0036	171	peri_urban	false	false	false	false	false	6	0	essential_medicines	ambient	high	35	2,024	12	false	17.3	true	false	57.6	3	1	2	29.5	110	26	87.7	false	false	false	false	overstocking	false	0	false	district_store:WH_0036
50	district_store	WH_0009	205	rural	false	false	false	false	false	4	0	ARVs	ambient	high	15	2,024	1	false	23.3	false	false	10.3	5	0	5	26.1	145	44	31.5	false	false	false	false	overstocking	false	0	false	district_store:WH_0009
53	district_store	WH_0018	239	peri_urban	false	false	true	true	false	1	0	contraceptives	ambient	medium	8	2,022	1	false	35.9	false	true	45.4	2	0	2	33.4	210	8	53.1	false	false	false	false	overstocking	false	0	false	district_store:WH_0018
63	district_store	WH_0087	243	peri_urban	false	false	false	false	false	3	0	vaccines	cold_chain_2_8C	critical	8	2,022	7	false	24.5	false	false	39.2	6	2	4	30.1	231	82	17.7	false	true	true	false	overstocking	true	2	false	district_store:WH_0087
11	district_store	WH_0048	218	rural	false	false	false	false	false	1	0	medical_devices_consumables	ambient	low	2	2,023	6	false	37.8	false	false	33.5	3	1	2	31.9	311	72	38.1	false	false	false	false	receiving_error	false	0	false	district_store:WH_0048
17	district_store	WH_0037	181	rural	false	false	false	false	false	3	0	contraceptives	ambient	medium	8	2,022	7	true	20.2	false	false	8.3	1	0	1	25.5	81	45	60	false	false	false	false	receiving_error	false	0	false	district_store:WH_0037
42	district_store	WH_0010	267	rural	false	false	false	false	false	4	0	malaria_commodities	ambient	high	10	2,023	6	false	45.6	false	false	31.4	9	2	7	22.9	184	2	56.9	false	false	false	false	receiving_error	true	0	false	district_store:WH_0010
84	district_store	WH_0053	275	rural	false	false	false	false	false	3	0	controlled_substances	secure_ambient	critical	2	2,022	2	false	15.8	false	false	32.8	5	1	4	22	75	0	55.4	false	false	false	false	receiving_error	false	0	false	district_store:WH_0053
94	district_store	WH_0018	260	rural	false	false	false	false	false	2	0	nutrition_commodities	ambient	medium	3	2,022	5	false	22.7	true	false	60.9	9	5	4	29.1	25	10	52.9	false	false	true	false	receiving_error	true	0	false	district_store:WH_0018
120	district_store	WH_0099	151	rural	false	false	false	true	false	5	0	controlled_substances	secure_ambient	critical	2	2,024	7	false	42.5	false	false	24.2	4	0	4	32.1	1	11	30	false	false	false	false	receiving_error	true	1	false	district_store:WH_0099
12	district_store	WH_0014	279	rural	false	false	false	false	false	2	0	controlled_substances	secure_ambient	critical	2	2,024	5	false	18.5	false	false	34.1	5	1	4	30.7	2	29	48	false	false	true	false	understocking	true	7	false	district_store:WH_0014
14	district_store	WH_0054	188	rural	false	false	false	false	false	3	0	ARVs	ambient	high	15	2,023	10	true	28.8	false	false	17.3	6	1	5	27.7	27	8	56.6	false	false	false	false	understocking	false	0	false	district_store:WH_0054
19	district_store	WH_0038	163	rural	false	true	false	false	true	4	0	IV_fluids	ambient	high	5	2,024	1	false	10	false	false	27.2	2	0	2	22.5	151	28	37.9	false	false	false	false	understocking	false	0	false	district_store:WH_0038
26	district_store	WH_0007	201	rural	false	false	false	false	false	1	0	ARVs	ambient	high	15	2,024	3	false	38	false	false	21.2	2	0	2	33.6	568	13	10.6	false	false	false	false	understocking	false	0	false	district_store:WH_0007
51	district_store	WH_0092	129	rural	false	true	false	false	false	3	0	vaccines	cold_chain_2_8C	critical	8	2,023	2	false	12.5	false	false	34.5	5	1	4	17.8	597	25	58.2	false	true	true	false	understocking	false	0	true	district_store:WH_0092
55	district_store	WH_0007	271	rural	false	false	false	false	false	4	0	IV_fluids	ambient	high	5	2,024	11	false	36.8	false	false	17.1	6	1	5	23.6	10	33	7.3	false	false	true	true	understocking	true	0	false	district_store:WH_0007
20	district_store	WH_0050	310	peri_urban	false	true	false	true	false	5	0	PPE_IPC_supplies	ambient	medium	4	2,024	11	false	10	false	false	5	5	0	5	41.9	9	6	37.5	false	false	false	false	dispatch_error	false	0	false	district_store:WH_0050
27	district_store	WH_0011	133	rural	false	false	false	false	false	3	0	vaccines	cold_chain_2_8C	critical	8	2,022	12	false	17.7	false	false	35.8	6	2	4	30.3	197	4	46	false	true	true	false	dispatch_error	false	0	false	district_store:WH_0011
54	district_store	WH_0056	308	rural	false	true	false	false	true	6	0	malaria_commodities	ambient	high	10	2,023	4	false	24.8	false	false	36.8	5	1	4	33.1	481	1	42.2	false	false	false	false	dispatch_error	false	0	true	district_store:WH_0056
76	district_store	WH_0026	174	peri_urban	false	false	true	false	false	2	0	laboratory_reagents	cold_chain_2_8C	medium	5	2,023	9	false	10	false	false	26.7	4	1	3	28.8	43	35	20.8	false	true	false	true	dispatch_error	true	2	false	district_store:WH_0026
130	district_store	WH_0045	38	rural	false	false	false	false	false	2	0	nutrition_commodities	ambient	medium	3	2,023	2	false	12.9	false	false	39.7	2	0	2	32.5	24	9	42.7	false	false	true	false	dispatch_error	true	2	false	district_store:WH_0045
133	district_store	WH_0022	163	rural	false	false	false	false	false	3	0	essential_medicines	ambient	high	35	2,022	7	false	22.6	false	true	17	0	0	0	26.9	236	15	34.6	false	false	false	false	dispatch_error	false	0	false	district_store:WH_0022
41	district_store	WH_0005	180	peri_urban	false	false	false	false	false	6	0	contraceptives	ambient	medium	8	2,022	3	false	39.7	false	false	26.9	5	1	4	33.3	9	103	26.1	false	false	true	false	pest_infestation	true	1	false	district_store:WH_0005
121	district_store	WH_0068	212	urban	false	false	false	false	false	6	0	essential_medicines	ambient	high	35	2,021	1	false	22.8	false	false	18.1	8	1	7	34.3	38	4	28	false	false	false	false	pest_infestation	true	2	false	district_store:WH_0068
132	district_store	WH_0019	211	rural	false	false	false	false	false	3	0	controlled_substances	secure_ambient	critical	2	2,024	7	false	14.7	true	false	42.7	3	1	2	26.5	110	91	16.5	false	false	true	false	pest_infestation	true	0	false	district_store:WH_0019
166	district_store	WH_0038	142	rural	false	false	false	false	false	2	0	nutrition_commodities	ambient	medium	3	2,023	10	false	32.1	false	false	32.2	4	1	3	28	71	26	43.1	false	false	false	true	pest_infestation	false	0	false	district_store:WH_0038
172	district_store	WH_0001	109	rural	false	false	false	false	false	4	0	laboratory_reagents	cold_chain_2_8C	medium	5	2,024	7	false	45.3	false	true	20.5	7	1	6	33.9	50	18	32	false	true	false	false	pest_infestation	true	2	false	district_store:WH_0001
183	district_store	WH_0094	324	rural	false	true	false	false	false	2	0	vaccines	cold_chain_2_8C	critical	8	2,022	4	true	15.7	false	false	15.6	9	1	8	30.4	223	37	16	false	true	false	false	pest_infestation	true	2	false	district_store:WH_0094
1	national_CMS	WH_0009	3,440	rural	true	true	true	true	true	44	0	essential_medicines	ambient	high	35	2,024	10	false	81.8	true	true	89.7	53	47	6	10.3	769	46	70.6	false	false	false	false	none	false	0	true	national_CMS:WH_0009
2	national_CMS	WH_0007	4,768	peri_urban	true	true	true	true	true	34	1	ARVs	ambient	high	15	2,022	12	true	100	false	true	65.8	49	32	17	7.4	1,610	439	94.8	false	false	false	false	none	false	0	true	national_CMS:WH_0007
3	national_CMS	WH_0077	5,348	urban	true	true	true	true	true	36	1	vaccines	cold_chain_2_8C	critical	8	2,022	10	true	85.5	true	false	73.2	49	35	14	6.6	648	542	99.5	true	false	false	false	none	false	0	true	national_CMS:WH_0077
4	national_CMS	WH_0079	4,476	urban	true	true	true	true	true	34	0	laboratory_reagents	cold_chain_2_8C	medium	5	2,022	4	true	88	true	true	71.6	56	40	16	6.5	672	71	79.6	false	false	false	false	none	false	0	true	national_CMS:WH_0079
6	national_CMS	WH_0046	5,108	peri_urban	true	true	true	true	true	39	1	malaria_commodities	ambient	high	10	2,023	11	true	84.2	true	true	90.5	41	37	4	2.1	4,039	744	79.2	false	false	false	false	none	true	108	true	national_CMS:WH_0046
9	national_CMS	WH_0004	7,585	urban	true	true	true	true	true	33	0	surgical_supplies	ambient	medium	3	2,022	2	true	89.7	false	true	75.5	41	30	11	0.5	3,421	509	66.7	false	false	false	false	none	false	0	true	national_CMS:WH_0004
5	national_CMS	WH_0093	5,669	urban	true	true	true	true	true	38	1	contraceptives	ambient	medium	8	2,022	2	true	66.1	false	false	64.4	56	36	20	3.3	1,901	110	79.9	false	false	false	false	theft_pilferage	false	0	true	national_CMS:WH_0093
55	national_CMS	WH_0095	5,490	urban	true	true	true	true	true	32	1	IV_fluids	ambient	high	5	2,021	5	false	70	true	true	93.7	63	59	4	0.5	7,006	362	73	false	false	false	false	theft_pilferage	false	0	true	national_CMS:WH_0095
104	national_CMS	WH_0075	4,330	peri_urban	true	true	true	true	true	43	1	PPE_IPC_supplies	ambient	medium	4	2,023	8	true	62.2	true	true	42.4	54	22	32	15.9	1,770	1,705	101.6	true	false	false	false	theft_pilferage	false	0	true	national_CMS:WH_0075
155	national_CMS	WH_0034	5,117	urban	true	true	true	true	true	41	1	medical_devices_consumables	ambient	low	2	2,022	3	true	75.4	false	true	100	45	45	0	20.5	1,194	495	58.4	false	false	false	false	theft_pilferage	false	0	true	national_CMS:WH_0034
165	national_CMS	WH_0076	4,631	urban	true	true	true	true	true	43	0	surgical_supplies	ambient	medium	3	2,023	9	false	78.4	true	false	77	48	36	12	6.7	1,456	564	88.5	false	false	false	false	theft_pilferage	false	0	true	national_CMS:WH_0076
194	national_CMS	WH_0040	7,639	urban	true	true	true	true	true	33	1	ARVs	ambient	high	15	2,023	3	false	56.2	true	true	55.7	59	32	27	12	3,125	186	96.2	true	false	false	false	theft_pilferage	false	0	true	national_CMS:WH_0040
7	national_CMS	WH_0047	6,257	urban	true	true	true	true	true	40	1	IV_fluids	ambient	high	5	2,023	10	true	72.2	true	true	75.9	41	31	10	0.5	13,923	182	89.2	false	false	false	false	stock_record_discrepancy	false	0	true	national_CMS:WH_0047
10	national_CMS	WH_0082	4,273	urban	true	true	true	true	true	40	0	nutrition_commodities	ambient	medium	3	2,022	2	false	79.3	true	true	61.7	41	25	16	20.6	1,630	717	80.7	false	false	false	false	stock_record_discrepancy	false	0	true	national_CMS:WH_0082
27	national_CMS	WH_0096	7,416	rural	true	true	true	true	true	36	0	vaccines	cold_chain_2_8C	critical	8	2,022	8	true	66.6	true	true	90.2	48	43	5	14.4	11,851	588	93.1	false	true	false	false	stock_record_discrepancy	false	0	true	national_CMS:WH_0096
37	national_CMS	WH_0047	3,290	urban	true	true	true	true	true	34	0	essential_medicines	ambient	high	35	2,022	2	true	59.7	false	true	76.2	55	41	14	10	1,628	75	79.3	false	false	false	false	stock_record_discrepancy	false	0	true	national_CMS:WH_0047
91	national_CMS	WH_0034	5,610	urban	true	true	true	true	true	34	0	IV_fluids	ambient	high	5	2,024	4	true	76.4	true	false	80.9	49	39	10	11.9	4,972	1,147	57.9	false	false	false	false	stock_record_discrepancy	false	0	true	national_CMS:WH_0034
103	national_CMS	WH_0016	1,341	urban	true	true	true	true	true	44	0	IV_fluids	ambient	high	5	2,024	11	true	63.6	true	true	68.8	52	35	17	13.6	5,109	656	89.6	false	false	false	false	stock_record_discrepancy	false	0	true	national_CMS:WH_0016
8	national_CMS	WH_0024	3,912	urban	true	true	true	true	true	36	1	PPE_IPC_supplies	ambient	medium	4	2,024	1	true	76.5	true	false	80.6	60	48	12	14.5	11,273	1,412	101.6	true	false	false	false	damaged_goods	false	0	true	national_CMS:WH_0024
97	national_CMS	WH_0060	3,847	peri_urban	true	true	true	true	true	34	1	essential_medicines	ambient	high	35	2,023	8	true	66.6	true	true	62.3	60	37	23	3.5	3,201	545	72.9	false	false	false	false	damaged_goods	true	36	true	national_CMS:WH_0060
168	national_CMS	WH_0099	7,109	urban	true	true	true	true	true	34	1	controlled_substances	secure_ambient	critical	2	2,023	7	true	78.9	true	true	56.8	47	26	21	11.1	2,042	1,057	89.8	false	false	false	false	damaged_goods	true	3	true	national_CMS:WH_0099
202	national_CMS	WH_0099	3,356	peri_urban	true	true	true	true	true	45	1	nutrition_commodities	ambient	medium	3	2,021	3	true	66.6	true	true	69.1	49	33	16	9.3	15,814	217	90.4	false	false	false	true	damaged_goods	false	0	true	national_CMS:WH_0099
220	national_CMS	WH_0050	3,579	urban	true	true	true	true	true	30	1	laboratory_reagents	cold_chain_2_8C	medium	5	2,021	2	true	72.2	true	false	74.1	48	35	13	6.8	5,315	38	109.7	true	false	false	false	damaged_goods	false	0	true	national_CMS:WH_0050
248	national_CMS	WH_0074	6,675	rural	true	true	true	true	true	42	0	PPE_IPC_supplies	ambient	medium	4	2,021	11	false	41.1	false	true	69.1	58	40	18	8.7	9,133	473	83.4	false	false	false	false	damaged_goods	false	0	false	national_CMS:WH_0074
13	national_CMS	WH_0094	3,855	urban	true	true	true	true	true	40	0	essential_medicines	ambient	high	35	2,021	5	false	61.1	false	false	61.3	57	34	23	8.3	5,484	96	81.2	false	false	false	false	overstocking	false	0	true	national_CMS:WH_0094
30	national_CMS	WH_0088	4,514	rural	true	true	true	true	true	45	1	malaria_commodities	ambient	high	10	2,024	5	true	62.6	false	true	39.5	52	20	32	4.4	898	177	90.2	false	false	false	false	overstocking	false	0	true	national_CMS:WH_0088
35	national_CMS	WH_0082	5,382	urban	true	true	true	true	true	31	1	medical_devices_consumables	ambient	low	2	2,022	4	true	66.4	true	true	100	52	52	0	9.2	7,689	575	68.8	false	false	false	false	overstocking	false	0	true	national_CMS:WH_0082
41	national_CMS	WH_0019	6,481	rural	true	true	true	true	true	48	1	contraceptives	ambient	medium	8	2,022	3	true	78.2	false	false	69.4	50	34	16	7.2	8,041	462	86.1	false	false	false	false	overstocking	false	0	true	national_CMS:WH_0019
43	national_CMS	WH_0064	7,425	rural	true	true	true	true	true	39	1	IV_fluids	ambient	high	5	2,024	10	true	73.1	true	true	73.8	53	39	14	11.1	2,432	1,504	101.6	true	false	false	false	overstocking	false	0	true	national_CMS:WH_0064
57	national_CMS	WH_0021	5,090	peri_urban	true	true	true	true	true	37	1	surgical_supplies	ambient	medium	3	2,023	6	true	76.7	true	true	81.9	59	48	11	3.2	2,236	294	46.8	false	false	false	false	overstocking	false	0	true	national_CMS:WH_0021
18	national_CMS	WH_0096	3,808	urban	true	true	true	true	true	51	1	malaria_commodities	ambient	high	10	2,024	6	false	76.3	false	true	80.1	39	31	8	10.7	1,600	292	88	false	false	false	false	understocking	true	0	true	national_CMS:WH_0096
20	national_CMS	WH_0052	2,926	urban	true	true	true	true	true	42	0	PPE_IPC_supplies	ambient	medium	4	2,024	12	true	74.7	true	false	68.2	56	38	18	9.6	892	1,618	79.9	false	false	false	false	understocking	false	0	true	national_CMS:WH_0052
85	national_CMS	WH_0078	3,797	rural	true	true	true	true	true	35	0	essential_medicines	ambient	high	35	2,022	3	true	73	true	true	100	56	56	0	0.5	9,195	280	69.6	false	false	false	false	understocking	false	0	true	national_CMS:WH_0078
108	national_CMS	WH_0001	7,066	urban	true	true	true	true	true	40	0	controlled_substances	secure_ambient	critical	2	2,022	6	true	72.9	true	true	76.2	66	50	16	14.2	72	269	100.1	true	false	false	false	understocking	false	0	true	national_CMS:WH_0001

End of preview. Expand in Data Studio

Warehouse Inventory Stratified Sample (210 rows)

Dataset Description

This is a 210-row stratified sample of real warehouse-inventory records, drawn from electricsheepafrica/warehouse-inventory-management (CC BY 4.0). It's the source data behind the companion Warehouse Short-Order DPO Preference Pairs dataset - every fact in that downstream dataset traces back to a real row in this sample, which in turn traces back to a real row in the original source CSVs. No values here are synthetic, averaged, or model-generated; every field is exactly what's in the original warehouse records.

This is a derived work, not a random subset - see Sampling Method below for why, and Code for the script that produces it.

Code

Full source: github.com/EnsiyehRaoufi/DPO-Warehouse

Only one file is needed to reproduce this sample: build_sample.py. It's self-contained (only depends on data_utils.py for the source CSV filenames/row-casting, and needs the 3 real source CSVs already downloaded into a local folder - see the source dataset's own files for those). Usage:

python build_sample.py --data-dir data --rows-per-issue 6 --out data/warehouse_sample.jsonl

Source Data


Source dataset	`electricsheepafrica/warehouse-inventory-management`
Source license	CC BY 4.0
Source files used	`warehouse_district_store.csv`, `warehouse_national_central_medical_store.csv`, `warehouse_regional_warehouse.csv` (one per warehouse tier)
Source size	~30,000 rows across 297 unique warehouses (99 warehouse ids x 3 tiers)
This sample's size	210 rows, 158 unique warehouses

Known source-data gotcha: warehouse_id (e.g. WH_0009) is not globally unique in the source data - it's reused identically across all 3 tier files, so WH_0009 in district_store and WH_0009 in national_CMS are two different physical warehouses with different attributes. Verified directly in this sample: district_store:WH_0009 is 137 sqm; the same bare id at other tiers refers to entirely different warehouses. A uid field ({warehouse_level}:{warehouse_id}) is the real unique key - never use the bare warehouse_id alone to identify a warehouse.

Sampling Method

build_sample.py takes 6 rows per (warehouse tier x inventory-issue type) combination, not a plain random sample of the same total size. This is deliberate: with 12 real issue codes (11 actual issue types plus "none") spread unevenly across ~30,000 source rows, a plain random sample of 210 rows would have a real chance of missing one or more of the rarer issue codes entirely. Any downstream use that needs to recognize or validate against the full set of real issue codes (e.g. detecting a fabricated one) would then silently have no real example to learn from for whatever code got missed. Stratifying by (warehouse_level, inventory_issue) guarantees every combination that exists in the source data is represented.

Verified composition of this sample:

warehouse tier	rows
`national_CMS`	72
`regional_warehouse`	72
`district_store`	66

inventory issue	rows
`theft_pilferage`, `expired_stock`, `stock_record_discrepancy`, `temperature_excursion`, `FEFO_not_followed`, `damaged_goods`, `overstocking`, `receiving_error`, `understocking`, `dispatch_error`, `pest_infestation`	18 each
`none` (no issue reported)	12

Note: this sample contains 11 distinct real issue codes, not all 12 that exist in the full source dataset - the 12th does not appear in any of the rows this particular stratified draw selected. Anyone needing full 12-code coverage should either increase --rows-per-issue or draw against the full CSVs directly rather than this reduced sample.

Dataset Structure

Data Fields

One row = one warehouse's inventory report for one commodity category in one month. All fields are taken directly from the source CSVs (cast to their natural types - booleans, ints, floats - by data_utils.py's row-casting, not renamed or recomputed):

field	type	description
`id`	int	source row id
`warehouse_level`	string	one of `district_store`, `national_CMS`, `regional_warehouse`
`warehouse_id`	string	e.g. `WH_0009` - not globally unique, see gotcha above
`uid`	string	`{warehouse_level}:{warehouse_id}` - the real unique warehouse key
`warehouse_size_sqm`	int
`region_type`	string	one of `urban`, `peri_urban`, `rural`
`has_WMS`, `has_temperature_monitoring`, `has_generator_backup`, `has_pest_control`, `has_security_system`	bool	facility infrastructure flags
`staff_count`, `staff_trained_gdp`	int
`commodity_category`	string	e.g. `essential_medicines`, `vaccines`, `ARVs`
`storage_requirement`	string	e.g. `ambient`, `cold_chain_2_8C`
`criticality`	string	e.g. `high`, `medium`
`volume_share_pct`	float
`year`, `month`	int	reporting period
`storage_conditions_adequate`, `stock_record_up_to_date`, `fefo_compliance`	bool
`inventory_accuracy_pct`, `order_fulfilment_rate_pct`, `wastage_rate_pct`, `capacity_utilisation_pct`	float
`orders_received_month`, `orders_fulfilled_complete`, `orders_backordered`	int
`expired_stock_value_usd`, `damaged_goods_value_usd`	float
`overflow_to_other_space`, `temperature_excursion_month`, `pest_damage_reported`, `theft_reported`	bool
`inventory_issue`	string	the real recorded reason code for this report - one of 11 real issue types, or `"none"`
`stockout_at_warehouse`	bool
`facilities_affected_by_stockout`	int
`report_submitted`	bool

Example Record

{"id": 1, "warehouse_level": "district_store", "warehouse_id": "WH_0009", "warehouse_size_sqm": 137, "region_type": "rural", "has_WMS": false, "has_temperature_monitoring": false, "has_generator_backup": false, "has_pest_control": false, "has_security_system": false, "staff_count": 2, "staff_trained_gdp": 0, "commodity_category": "essential_medicines", "storage_requirement": "ambient", "criticality": "high", "volume_share_pct": 35.0, "year": 2023, "month": 10, "storage_conditions_adequate": false, "inventory_accuracy_pct": 33.6, "stock_record_up_to_date": false, "fefo_compliance": false, "order_fulfilment_rate_pct": 15.6, "orders_received_month": 9, "orders_fulfilled_complete": 1, "orders_backordered": 8, "wastage_rate_pct": 32.1, "expired_stock_value_usd": 69.0, "damaged_goods_value_usd": 12.0, "capacity_utilisation_pct": 33.9, "overflow_to_other_space": false, "temperature_excursion_month": false, "pest_damage_reported": false, "theft_reported": false, "inventory_issue": "theft_pilferage", "stockout_at_warehouse": true, "facilities_affected_by_stockout": 0, "report_submitted": false, "uid": "district_store:WH_0009"}

Considerations

Not a random sample - stratified by design. Don't use this for analyses that assume uniform random sampling from the source population; tier and issue-type proportions here reflect the stratification scheme (6 per combination), not the source dataset's true underlying distribution.
Small scale. 210 rows / 158 warehouses out of ~30,000 rows / 297 warehouses in the full source. Adequate for a small demonstration pipeline, not for population-level inventory analysis.
Only 11 of 12 real issue codes present in this particular draw (see Sampling Method) - a real gap, not an error, but worth knowing before assuming full coverage.
Does not independently verify the source data's accuracy - this is a reduction of the original records, not a corrected or validated version of them.

Related Datasets

Downstream dataset: Warehouse Short-Order DPO Preference Pairs
- the DPO {prompt, chosen, rejected} pairs built from this sample.
Original source dataset: electricsheepafrica/warehouse-inventory-management (CC BY 4.0).

Licensing and Attribution

This is a derivative of electricsheepafrica/warehouse-inventory-management, licensed CC BY 4.0 by Electric Sheep Africa. In keeping with that license's attribution requirement, this derived sample is released under the same license, CC BY 4.0. The sampling code (linked above) is separately licensed Apache-2.0, per the GitHub repository's LICENSE file.

Attribution: Derived from electricsheepafrica/warehouse-inventory-management (Electric Sheep Africa), https://huggingface.co/datasets/electricsheepafrica/warehouse-inventory-management, licensed CC BY 4.0.

Citation

@misc{warehouse_stratified_sample,
  title = {Warehouse Inventory Stratified Sample},
  author = {Raoufi, Ensiyeh},
  note = {Derived from electricsheepafrica/warehouse-inventory-management (CC BY 4.0). Code: https://github.com/EnsiyehRaoufi/DPO-Warehouse},
  howpublished = {\url{https://huggingface.co/datasets/EnRaoufi/warehouse-inventory-stratified-sample}}
}

Source dataset citation:

@dataset{warehouse_inventory_management,
  author = {Electric Sheep Africa},
  title = {warehouse-inventory-management},
  publisher = {Hugging Face},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/warehouse-inventory-management}}
}

Downloads last month: 41