Datasets:

electricsheepafrica
/

africa-synth-energy-oilgas-remediation-nigeria

project_id stringlengths 8 8	site stringlengths 6 9	operator stringclasses 3 values	start_year int64 2k 2.02k	cost_usd int64 1.02M 49.9M
REM-0001	Site_1	ExxonMobil	2,010	26,270,245
REM-0002	Site_2	ExxonMobil	2,007	40,660,289
REM-0003	Site_3	Shell	2,018	46,061,463
REM-0004	Site_4	ExxonMobil	2,007	21,219,382
REM-0005	Site_5	Chevron	2,000	16,932,177
REM-0006	Site_6	ExxonMobil	2,008	4,497,782
REM-0007	Site_7	ExxonMobil	2,023	10,744,407
REM-0008	Site_8	Shell	2,010	18,992,975
REM-0009	Site_9	Shell	2,008	8,812,845
REM-0010	Site_10	Shell	2,003	5,010,883
REM-0011	Site_11	ExxonMobil	2,001	1,910,366
REM-0012	Site_12	Chevron	2,002	41,049,240
REM-0013	Site_13	Chevron	2,000	7,236,612
REM-0014	Site_14	ExxonMobil	2,019	47,184,030
REM-0015	Site_15	ExxonMobil	2,002	15,409,445
REM-0016	Site_16	Shell	2,015	10,463,111
REM-0017	Site_17	ExxonMobil	2,012	12,166,221
REM-0018	Site_18	ExxonMobil	2,017	19,064,309
REM-0019	Site_19	Shell	2,003	11,538,096
REM-0020	Site_20	Chevron	2,019	16,655,517
REM-0021	Site_21	ExxonMobil	2,021	16,515,269
REM-0022	Site_22	Shell	2,013	13,243,250
REM-0023	Site_23	Chevron	2,001	18,914,024
REM-0024	Site_24	Shell	2,006	1,490,641
REM-0025	Site_25	ExxonMobil	2,007	23,336,025
REM-0026	Site_26	Chevron	2,020	24,356,319
REM-0027	Site_27	Chevron	2,017	45,192,848
REM-0028	Site_28	Shell	2,000	14,848,163
REM-0029	Site_29	ExxonMobil	2,008	33,195,048
REM-0030	Site_30	ExxonMobil	2,005	33,566,053
REM-0031	Site_31	Chevron	2,009	13,103,600
REM-0032	Site_32	ExxonMobil	2,003	8,774,773
REM-0033	Site_33	Chevron	2,007	31,761,344
REM-0034	Site_34	Chevron	2,016	45,515,307
REM-0035	Site_35	Shell	2,012	1,679,256
REM-0036	Site_36	Chevron	2,013	5,250,919
REM-0037	Site_37	Chevron	2,006	19,099,568
REM-0038	Site_38	ExxonMobil	2,000	39,531,911
REM-0039	Site_39	Shell	2,023	29,510,736
REM-0040	Site_40	ExxonMobil	2,015	34,467,369
REM-0041	Site_41	Shell	2,015	44,817,181
REM-0042	Site_42	ExxonMobil	2,000	29,490,215
REM-0043	Site_43	ExxonMobil	2,006	20,075,020
REM-0044	Site_44	Shell	2,009	34,460,748
REM-0045	Site_45	ExxonMobil	2,005	30,094,375
REM-0046	Site_46	Shell	2,016	18,388,669
REM-0047	Site_47	Chevron	2,005	23,322,314
REM-0048	Site_48	ExxonMobil	2,021	40,851,689
REM-0049	Site_49	Chevron	2,010	11,488,052
REM-0050	Site_50	ExxonMobil	2,001	4,712,209
REM-0051	Site_51	Chevron	2,011	8,171,582
REM-0052	Site_52	Shell	2,003	38,271,055
REM-0053	Site_53	Chevron	2,001	7,052,884
REM-0054	Site_54	ExxonMobil	2,020	46,288,842
REM-0055	Site_55	Chevron	2,004	20,682,679
REM-0056	Site_56	Chevron	2,021	31,042,918
REM-0057	Site_57	ExxonMobil	2,005	7,879,457
REM-0058	Site_58	Shell	2,007	18,547,067
REM-0059	Site_59	Chevron	2,000	38,235,129
REM-0060	Site_60	Chevron	2,003	14,917,421
REM-0061	Site_61	Chevron	2,004	19,903,931
REM-0062	Site_62	ExxonMobil	2,018	44,151,755
REM-0063	Site_63	Chevron	2,018	34,482,227
REM-0064	Site_64	ExxonMobil	2,020	7,203,923
REM-0065	Site_65	Shell	2,019	19,024,474
REM-0066	Site_66	ExxonMobil	2,004	7,536,521
REM-0067	Site_67	Shell	2,012	47,342,524
REM-0068	Site_68	Shell	2,007	29,278,709
REM-0069	Site_69	Shell	2,021	8,038,107
REM-0070	Site_70	ExxonMobil	2,017	31,393,174
REM-0071	Site_71	Shell	2,008	11,899,233
REM-0072	Site_72	Shell	2,006	22,431,316
REM-0073	Site_73	Chevron	2,012	40,845,495
REM-0074	Site_74	Chevron	2,002	15,907,497
REM-0075	Site_75	ExxonMobil	2,002	5,936,015
REM-0076	Site_76	Shell	2,016	47,907,642
REM-0077	Site_77	Shell	2,009	16,653,958
REM-0078	Site_78	ExxonMobil	2,004	46,635,967
REM-0079	Site_79	ExxonMobil	2,018	20,416,793
REM-0080	Site_80	Chevron	2,005	28,432,324
REM-0081	Site_81	Chevron	2,005	28,962,837
REM-0082	Site_82	ExxonMobil	2,021	38,661,880
REM-0083	Site_83	ExxonMobil	2,010	37,228,127
REM-0084	Site_84	Shell	2,008	43,091,541
REM-0085	Site_85	Chevron	2,014	41,672,391
REM-0086	Site_86	Chevron	2,015	46,995,890
REM-0087	Site_87	ExxonMobil	2,012	49,285,213
REM-0088	Site_88	Shell	2,011	14,946,788
REM-0089	Site_89	Shell	2,018	17,720,678
REM-0090	Site_90	ExxonMobil	2,018	28,610,823
REM-0091	Site_91	Chevron	2,002	43,118,101
REM-0092	Site_92	Shell	2,005	19,632,694
REM-0093	Site_93	ExxonMobil	2,019	41,033,979
REM-0094	Site_94	Shell	2,016	19,824,531
REM-0095	Site_95	Chevron	2,005	45,569,226
REM-0096	Site_96	ExxonMobil	2,005	39,919,195
REM-0097	Site_97	Chevron	2,006	17,724,640
REM-0098	Site_98	Chevron	2,023	12,214,759
REM-0099	Site_99	ExxonMobil	2,013	15,299,861
REM-0100	Site_100	Shell	2,004	48,837,508

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Africa Synth Energy Oilgas Remediation Nigeria | Africa (Electric Sheep Africa metadata inventory)

Size category: 1K<n<10K - Formats: csv - Sector: energy - 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: ⚠️ Synthetic dataset — Parameterized from published SSA literature, not real observations. Not suitable for empirical analysis or policy inference. Nigerian Oilgas Remediation Dataset Description This dataset is part of the Nigerian Oil & Gas Sector collection, containing comprehensive data on Nigeria's petroleum industry from 1999-2025. Rows: 2,000 Columns: 5 Period: 1999-2025 (where applicable) License: MIT Data Quality 1999-2014: ⭐⭐⭐⭐⭐ Based on official… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-energy-oilgas-remediation-nigeria.

Dataset Profile

Field	Value
Hugging Face repo	`electricsheepafrica/africa-synth-energy-oilgas-remediation-nigeria`
Sector	energy
Topic tags	nigeria, oil-and-gas, energy, petroleum, synthetic
Modalities	`tabular`, `text`
Formats	`csv`
Size category	`1K<n<10K`
Countries	Nigeria
ISO3 coverage	`NGA`
Last modified on HF	`2026-04-14 22:32:53+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-energy-oilgas-remediation-nigeria")
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: mit
Hugging Face URL: https://huggingface.co/datasets/electricsheepafrica/africa-synth-energy-oilgas-remediation-nigeria
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_energy_oilgas_remediation_nigeria_2026,
  title        = {Africa Synth Energy Oilgas Remediation Nigeria | Africa (Electric Sheep Africa metadata inventory)},
  author       = {Public dataset metadata},
  year         = {2026},
  url          = {https://huggingface.co/datasets/electricsheepafrica/africa-synth-energy-oilgas-remediation-nigeria},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-synth-energy-oilgas-remediation-nigeria}}
}

License

Released under mit.

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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