Datasets:

electricsheepafrica
/

africa-synth-governance-anti-corruption-enforcement-all

country stringclasses 12 values	scenario stringclasses 1 value	corruption_perception_index float64 14 66.1	cases_investigated int64 10 66k	cases_prosecuted int64 3 29.2k	prosecution_rate float64 0.02 0.62	convictions int64 1 23.8k	conviction_rate float64 0.15 0.95	assets_confiscated_usd_millions float64 2.01 350	asset_recovery_rate float64 0.01 0.22	whistleblower_reports int64 3 55.4k	whistleblower_protection_score float64 0 80.1	agency_independence_score float64 0 89.4	enforcement_effectiveness_score float64 11.5 96	enforcement_class stringclasses 3 values
Rwanda	baseline	56.3	100	49	0.4895	34	0.6997	5.72	0.1438	71	52.2	75.6	84.7	strong
Uganda	baseline	26.1	2,181	325	0.1491	96	0.2951	16.79	0.0633	1,140	11.4	45.4	33.6	weak
Nigeria	baseline	35.9	50,578	16,792	0.332	14,096	0.8395	122.01	0.0895	16,569	35.3	42.4	66.4	strong
South Africa	baseline	41	1,994	510	0.256	390	0.7641	200.96	0.0826	1,045	43	49.3	61.5	strong
Ethiopia	baseline	28.2	4,209	457	0.1086	243	0.5308	20.68	0.0451	1,897	21.7	30.6	35.9	moderate
South Africa	baseline	44.8	2,350	677	0.2882	513	0.7571	316.68	0.0974	1,981	43.5	71.2	68.3	strong
Zambia	baseline	32.4	363	64	0.1753	28	0.4355	10.3	0.0224	143	19	31	32.9	weak
Rwanda	baseline	59.1	98	52	0.5322	35	0.6762	10.19	0.1176	71	56.3	63.7	81.4	strong
Uganda	baseline	27.8	1,932	119	0.0617	51	0.4267	5.36	0.0374	1,326	25.3	13.5	27.2	weak
Senegal	baseline	46.2	284	84	0.2962	52	0.6184	10.51	0.1044	226	36.2	61.9	62.8	strong
Rwanda	baseline	59	108	53	0.4909	35	0.663	9.85	0.1488	75	51.4	59.8	81.8	strong
Botswana	baseline	60.1	15	7	0.4557	5	0.7123	7.13	0.1164	7	60.5	45.8	76.5	strong
Tanzania	baseline	37.9	3,234	688	0.2126	367	0.5333	15.01	0.0403	1,153	18.6	34.3	40.6	moderate
Botswana	baseline	59.3	13	5	0.4011	3	0.6876	7.24	0.1167	9	48.3	52.2	72.2	strong
Ghana	baseline	37.4	736	183	0.2487	100	0.5486	18.34	0.0362	561	45	51.5	48.9	moderate
Kenya	baseline	30	5,343	1,165	0.2181	455	0.3908	28.68	0.0279	2,716	28.8	38.7	37	moderate
Kenya	baseline	30.5	5,223	958	0.1834	363	0.3789	23.66	0.0286	4,020	41.1	41.2	37.2	moderate
South Africa	baseline	44.9	2,110	748	0.3546	488	0.6525	129.49	0.1433	1,630	46.2	64.8	73.9	strong
Ghana	baseline	41.2	609	192	0.3159	111	0.5806	22.21	0.0522	284	44	55.6	55.8	moderate
Zambia	baseline	32.7	359	43	0.1193	19	0.4488	13.99	0.0426	203	28.1	33.3	34.9	weak
Ghana	baseline	45.9	665	197	0.2963	117	0.5935	20.31	0.082	535	35	54.6	57.7	moderate
Mozambique	baseline	22.1	333	7	0.02	2	0.3009	6.37	0.0129	145	13.5	20.5	17.2	weak
Tanzania	baseline	37.8	4,055	791	0.195	501	0.6329	22.56	0.0461	2,242	22.5	36	44.5	moderate
Rwanda	baseline	54	118	58	0.4883	41	0.7022	8.8	0.1446	83	52.5	83.9	86.1	strong
Tanzania	baseline	40.7	4,144	867	0.2092	625	0.7211	11.77	0.081	2,677	18.4	43.4	53.1	moderate
South Africa	baseline	42.5	2,518	629	0.25	446	0.7098	332.15	0.131	1,978	52.2	53.6	68	strong
South Africa	baseline	46	2,263	627	0.277	418	0.6661	206.76	0.1041	1,028	53.9	38.5	62.4	strong
Mozambique	baseline	21.6	322	17	0.0531	7	0.4239	3.89	0.0106	88	8.7	24.8	22.3	weak
Uganda	baseline	22.4	2,287	311	0.1358	109	0.3521	13.18	0.0205	1,445	26.8	41.3	30.7	weak
Rwanda	baseline	55.7	163	76	0.4647	49	0.6422	6.39	0.1264	141	44.9	55.2	75.2	strong
Uganda	baseline	27.2	1,711	218	0.1273	105	0.4798	11.52	0.063	572	26.2	24	37.3	moderate
Rwanda	baseline	56.3	200	99	0.4953	60	0.6055	10.39	0.1775	180	60.9	70.8	87.1	strong
Nigeria	baseline	33.7	46,680	18,249	0.3909	14,407	0.7895	96.79	0.089	28,822	21.4	59.9	68.3	strong
Mozambique	baseline	24.7	261	18	0.0675	6	0.3096	8.08	0.013	111	7.7	17.2	18.5	weak
Tanzania	baseline	38.9	3,201	794	0.2481	457	0.5751	17.53	0.0621	966	13.6	33.9	45.8	moderate
Ghana	baseline	42.9	844	213	0.2528	93	0.4362	20.72	0.0835	284	29.2	47.8	49	moderate
Ghana	baseline	43	460	177	0.3841	93	0.525	18.19	0.0994	345	32.1	46.5	60.7	strong
Nigeria	baseline	31.2	60,097	24,411	0.4062	17,875	0.7323	183.43	0.0874	34,786	25.8	57.1	67.3	strong
Ghana	baseline	43.9	824	253	0.3073	138	0.5453	24.78	0.0847	627	37.6	45.6	56.2	moderate
Zambia	baseline	32.1	268	42	0.1557	16	0.3697	4.4	0.0965	120	20.2	33.5	40.3	moderate
Ghana	baseline	41.4	537	149	0.278	76	0.5076	22.79	0.1201	169	32.6	44.3	57.3	moderate
Mozambique	baseline	21.6	416	22	0.0529	8	0.3638	7.29	0.0356	276	18	22.1	24.8	weak
Zambia	baseline	33	379	75	0.1969	40	0.5355	6.71	0.0688	199	11.6	36.8	43	moderate
South Africa	baseline	43.2	2,313	835	0.3609	672	0.8044	276.74	0.1006	1,211	43.1	64	72.7	strong
Nigeria	baseline	35.5	61,508	21,262	0.3457	16,835	0.7918	101.81	0.1052	18,819	26.1	30.6	64.6	strong
Senegal	baseline	47.4	355	112	0.3154	69	0.6144	9.34	0.0638	256	36.2	43.8	55.5	moderate
Mozambique	baseline	20.3	348	8	0.0221	3	0.3683	7.25	0.0387	129	20.9	28	25.1	weak
Botswana	baseline	55.4	17	9	0.5313	6	0.6486	3.79	0.161	10	62.2	69.6	88.1	strong
Mozambique	baseline	20.8	257	26	0.0997	8	0.3194	5.26	0.0228	77	17.5	24.4	24.3	weak
Tanzania	baseline	39.5	2,731	671	0.2456	398	0.5931	14.9	0.0439	1,190	26.2	31.7	45.3	moderate
Tanzania	baseline	35.7	2,582	536	0.2076	266	0.4967	32.26	0.037	1,683	25.6	46.4	41.6	moderate
Rwanda	baseline	57.1	132	63	0.4773	42	0.6738	5.96	0.1317	61	58.3	60	80.2	strong
Zambia	baseline	30.7	186	35	0.1857	15	0.4267	4.31	0.0505	91	25.4	43.3	39.7	moderate
Rwanda	baseline	58.2	124	62	0.4966	45	0.7337	7.66	0.1992	127	70.2	69.1	95.2	strong
Ghana	baseline	38.1	733	273	0.3726	163	0.5953	13.58	0.0926	236	34.4	55.4	63	strong
Nigeria	baseline	31.8	55,052	19,860	0.3607	13,846	0.6972	127.11	0.0673	38,330	34	34.7	59.1	moderate
Kenya	baseline	31.3	3,944	659	0.167	289	0.4378	23.1	0.0885	2,597	28.1	40.6	44.1	moderate
Senegal	baseline	47.8	188	53	0.2842	28	0.5336	15.51	0.0335	159	36.9	58.3	49.6	moderate
Ghana	baseline	43.3	672	205	0.3046	121	0.592	12.54	0.0907	368	40.6	59	60.8	strong
Uganda	baseline	25.3	2,059	268	0.1302	136	0.5083	12.61	0.0733	896	24.1	22.8	39.2	moderate
Ethiopia	baseline	34.1	2,076	187	0.0899	101	0.5412	7.81	0.0526	636	14.5	14.1	32.7	weak
Senegal	baseline	45.6	220	59	0.2682	37	0.6338	5.3	0.0875	142	41.7	48.8	58.5	moderate
Rwanda	baseline	55.6	161	71	0.4388	51	0.7159	6.81	0.1467	132	59.8	74	83.9	strong
Ghana	baseline	44.4	820	240	0.2927	131	0.5465	18.13	0.0592	452	30.4	44.8	50.9	moderate
Ghana	baseline	42.5	672	183	0.2723	96	0.5257	22.91	0.0985	596	41.7	57	58	moderate
Kenya	baseline	28.6	4,003	968	0.2417	471	0.4861	38.08	0.0402	2,162	28.2	40.8	43	moderate
Rwanda	baseline	59.9	152	68	0.4495	49	0.7172	8.71	0.1641	100	56.7	55.2	83.6	strong
South Africa	baseline	46.5	2,496	905	0.3625	660	0.7298	101.57	0.1331	1,666	40.1	60.4	73.8	strong
Botswana	baseline	54	19	8	0.4073	5	0.6345	4.97	0.0936	11	47.2	57.4	68.4	strong
Nigeria	baseline	32.9	45,229	14,583	0.3224	10,660	0.731	167.33	0.0775	38,122	40.9	40.6	61.5	strong
Ethiopia	baseline	31.4	3,932	355	0.0902	205	0.5778	13.92	0.0655	2,062	21.3	18.5	37.3	moderate
Nigeria	baseline	29.6	40,965	15,744	0.3843	11,703	0.7434	152.58	0.0758	25,492	28.3	38.7	62.6	strong
Mozambique	baseline	19.4	166	8	0.0463	2	0.2788	3.5	0.0333	103	14.1	16.7	20.1	weak
Tanzania	baseline	38.2	2,652	516	0.1945	273	0.5295	23.17	0.0427	1,523	26.4	38.3	41.7	moderate
Nigeria	baseline	34	65,011	21,442	0.3298	16,006	0.7465	160.47	0.051	37,813	35	41.9	58.2	moderate
Rwanda	baseline	60.8	124	55	0.4474	38	0.6865	8.04	0.1682	122	54.6	75.5	85.8	strong
Kenya	baseline	31.8	3,841	773	0.2014	306	0.3963	22.7	0.049	2,006	27.6	34.3	38.3	moderate
South Africa	baseline	42.9	1,904	538	0.2825	391	0.7264	187.05	0.1178	1,265	44	56	67.5	strong
Ethiopia	baseline	28.4	3,091	592	0.1916	250	0.4223	5.68	0.0354	1,376	17	30.3	34.6	weak
Senegal	baseline	44.6	195	63	0.3218	36	0.5775	15.08	0.0239	88	37.9	51.2	50.7	moderate
Uganda	baseline	28.9	1,529	306	0.1999	131	0.4272	10.26	0.01	670	20.4	29.4	32.1	weak
Ghana	baseline	43.8	562	172	0.3061	94	0.547	26.33	0.0741	201	25	50.2	53.6	moderate
Mozambique	baseline	22.1	323	10	0.0312	4	0.3723	5.13	0.0416	150	20.8	20.8	25	weak
Senegal	baseline	49.3	294	95	0.3236	49	0.516	17.57	0.0787	118	44.5	57.9	58.2	moderate
Uganda	baseline	29.6	1,594	195	0.1225	58	0.2967	11.25	0.0614	1,020	22.7	32.3	31.8	weak
Tanzania	baseline	33.8	2,271	495	0.2178	247	0.4989	32.4	0.0664	884	10.8	31	41.6	moderate
Kenya	baseline	29.3	4,567	1,242	0.272	521	0.4197	27.75	0.0689	2,622	22.3	46.5	46.2	moderate
Nigeria	baseline	29.4	44,210	16,039	0.3628	11,893	0.7415	148	0.0761	20,826	24	55.5	63.4	strong
Zambia	baseline	34.3	172	33	0.1935	16	0.4733	9.59	0.0805	54	11.1	43.3	43.4	moderate
Zambia	baseline	34.3	265	24	0.0892	12	0.5119	9.23	0.0695	132	30.7	36.6	39.8	moderate
South Africa	baseline	42.5	2,719	749	0.2755	573	0.7657	252.71	0.1085	1,868	42.9	56	67	strong
Senegal	baseline	48.5	268	95	0.3543	58	0.606	7.34	0.0531	196	37.9	47.9	56.6	moderate
Ghana	baseline	44.3	697	205	0.2938	125	0.6108	14.61	0.0659	285	48.5	49.1	57.2	moderate
Ethiopia	baseline	29.7	2,001	195	0.0976	96	0.4935	17.44	0.0839	1,369	20.7	23.6	38.1	moderate
Tanzania	baseline	35.4	2,473	432	0.1746	272	0.6295	28.02	0.0548	979	29.9	27.7	44.3	moderate
Ghana	baseline	43.2	652	206	0.3158	141	0.6825	19.53	0.0583	563	47.7	65.5	61.9	strong
Mozambique	baseline	24.1	369	27	0.0729	12	0.4367	2.98	0.0511	231	8.4	15.1	27.6	weak
Tanzania	baseline	38.6	2,503	568	0.2269	321	0.5649	21.3	0.0412	1,825	33.6	41.1	45.7	moderate
Botswana	baseline	52.6	15	6	0.4148	4	0.7073	5.86	0.1246	13	43.4	46.7	73	strong
Botswana	baseline	57.4	11	5	0.4732	4	0.7574	5.58	0.1023	11	60.9	76.4	81.6	strong

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⚠️ Synthetic dataset — Parameterized from published SSA literature, not real observations. Not suitable for empirical analysis or policy inference.

African Anti-Corruption Enforcement

Synthetic dataset modelling anti-corruption enforcement outcomes across 12 Sub-Saharan African countries under three policy scenarios. Parameters are anchored to real-world statistics from Transparency International, the EFCC (Nigeria), SIU/Zondo Commission (South Africa), EACC (Kenya), the African Union's Common African Position on Asset Recovery, and the G20 2025 Accountability Report on Whistleblower Protection.

Dataset Summary

Property	Value
Total records	30,000 (10,000 per scenario)
Countries	12 SSA nations
Variables	15 per record
Scenarios	baseline, strengthened_enforcement, weakened_accountability

Scenarios

baseline – Calibrated to observed 2023–2025 enforcement statistics. Median prosecution rate ~25%, median asset recovery rate ~7%.
strengthened_enforcement – Simulates higher agency independence (+18), stronger whistleblower protection (+20), increased prosecution (+45%), doubled asset recovery, and +8 CPI points.
weakened_accountability – Models institutional erosion: agency independence −15, whistleblower protection −15, prosecution −40%, asset recovery −60%, and −10 CPI points.

Countries

Nigeria, South Africa, Kenya, Ghana, Tanzania, Uganda, Ethiopia, Senegal, Mozambique, Zambia, Rwanda, Botswana.

Variables

Variable	Type	Description
`country`	str	Country name
`scenario`	str	Policy scenario
`corruption_perception_index`	float	TI CPI score (0–100, higher = cleaner)
`cases_investigated`	int	Number of corruption cases under investigation
`cases_prosecuted`	int	Cases forwarded to prosecution
`prosecution_rate`	float	cases_prosecuted / cases_investigated
`convictions`	int	Number of convictions secured
`conviction_rate`	float	convictions / cases_prosecuted
`assets_confiscated_usd_millions`	float	Value of confiscated assets (USD millions)
`asset_recovery_rate`	float	Fraction of estimated stolen assets recovered
`whistleblower_reports`	int	Number of whistleblower submissions
`whistleblower_protection_score`	float	Protection framework quality (0–100)
`agency_independence_score`	float	Anti-corruption agency independence (0–100)
`enforcement_effectiveness_score`	float	Composite effectiveness index (0–100)
`enforcement_class`	str	strong / moderate / weak

Research Sources

Transparency International CPI 2025 – SSA average score 32/100; Seychelles (68) highest, Somalia/South Sudan (9) lowest.
EFCC Nigeria 2024 – 15,724 petitions → 12,928 investigated → 5,083 prosecuted → 4,111 convictions; $214.5M recovered.
South Africa SIU 2023/24 – 1,919 investigations closed, 583 criminal referrals, R8B saved, ~80% conviction rate in commercial cases.
Kenya EACC 2023/24 – 5,171 reports, 534 files under probe, 26.7% conviction rate, Ksh2.9B recovered.
AU Common African Position on Asset Recovery – Africa loses ~$150B annually through illicit financial flows; asset recovery typically <10%.
G20 2025 Accountability Report on Whistleblower Protection – Most SSA countries lack dedicated whistleblower legislation; protection gaps in developing countries.

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/african-anti-corruption-enforcement", "baseline")
df = ds["train"].to_pandas()

Generation & Validation

pip install -r requirements.txt
python generate_dataset.py --scenario all --n-records 10000
python validate_dataset.py --data-dir data --plot-dir plots

License

CC-BY-4.0

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