Datasets:

electricsheepafrica
/

africa-synth-energy-oilgas-investments-nigeria

project_id stringlengths 8 8	operator stringclasses 3 values	type stringclasses 3 values	investment_usd int64 50.7M 5B	fid_year int64 2k 2.02k
INV-0001	ExxonMobil	development	939,053,133	2,017
INV-0002	Chevron	development	3,770,738,230	2,018
INV-0003	Shell	infrastructure	767,238,434	2,000
INV-0004	Shell	development	1,454,126,208	2,017
INV-0005	ExxonMobil	infrastructure	2,751,200,373	2,006
INV-0006	Chevron	development	2,365,396,443	2,006
INV-0007	Chevron	infrastructure	2,888,737,853	2,002
INV-0008	Chevron	exploration	663,168,839	2,009
INV-0009	Shell	exploration	185,873,001	2,014
INV-0010	Shell	infrastructure	2,226,922,733	2,005
INV-0011	Shell	development	2,477,120,236	2,023
INV-0012	ExxonMobil	infrastructure	3,900,074,644	2,014
INV-0013	Chevron	exploration	416,606,200	2,009
INV-0014	Chevron	infrastructure	3,034,111,229	2,015
INV-0015	Shell	exploration	3,038,817,657	2,022
INV-0016	Shell	infrastructure	4,152,465,467	2,013
INV-0017	Shell	infrastructure	4,158,902,374	2,017
INV-0018	ExxonMobil	development	4,242,752,126	2,009
INV-0019	ExxonMobil	infrastructure	4,751,438,474	2,012
INV-0020	Shell	infrastructure	1,324,297,715	2,007
INV-0021	ExxonMobil	development	2,730,076,031	2,008
INV-0022	Shell	exploration	4,366,449,314	2,010
INV-0023	Chevron	development	2,298,479,829	2,018
INV-0024	Chevron	exploration	2,772,735,643	2,024
INV-0025	Chevron	development	1,999,293,558	2,003
INV-0026	Shell	development	1,395,241,410	2,020
INV-0027	Shell	infrastructure	2,820,492,053	2,021
INV-0028	Shell	exploration	128,283,902	2,015
INV-0029	Shell	exploration	1,724,994,912	2,014
INV-0030	ExxonMobil	infrastructure	2,506,304,319	2,000
INV-0031	ExxonMobil	development	758,710,033	2,021
INV-0032	Shell	exploration	4,208,244,887	2,021
INV-0033	Chevron	infrastructure	3,569,068,418	2,002
INV-0034	Chevron	exploration	2,351,982,909	2,012
INV-0035	ExxonMobil	infrastructure	2,044,027,431	2,018
INV-0036	Shell	exploration	4,162,114,697	2,008
INV-0037	ExxonMobil	development	574,897,702	2,000
INV-0038	ExxonMobil	exploration	1,263,189,804	2,016
INV-0039	Shell	development	770,879,029	2,016
INV-0040	ExxonMobil	development	1,469,064,563	2,007
INV-0041	ExxonMobil	infrastructure	1,177,241,445	2,005
INV-0042	Chevron	infrastructure	2,096,041,119	2,002
INV-0043	Chevron	infrastructure	3,114,598,534	2,020
INV-0044	Shell	infrastructure	468,210,144	2,017
INV-0045	ExxonMobil	infrastructure	714,026,434	2,015
INV-0046	ExxonMobil	development	1,706,920,823	2,013
INV-0047	ExxonMobil	development	3,680,741,923	2,021
INV-0048	Shell	development	1,253,306,352	2,019
INV-0049	Shell	infrastructure	4,138,895,314	2,013
INV-0050	ExxonMobil	infrastructure	4,979,436,889	2,010
INV-0051	ExxonMobil	infrastructure	2,574,760,726	2,017
INV-0052	Chevron	exploration	4,843,933,068	2,023
INV-0053	ExxonMobil	development	4,484,144,364	2,011
INV-0054	ExxonMobil	infrastructure	4,358,488,735	2,020
INV-0055	Shell	development	1,262,890,886	2,009
INV-0056	Shell	infrastructure	4,899,652,752	2,017
INV-0057	Chevron	exploration	2,628,645,926	2,016
INV-0058	Chevron	exploration	4,134,405,731	2,010
INV-0059	ExxonMobil	infrastructure	3,096,459,435	2,007
INV-0060	ExxonMobil	exploration	4,656,444,428	2,003
INV-0061	ExxonMobil	infrastructure	210,529,914	2,010
INV-0062	Chevron	infrastructure	4,106,236,864	2,006
INV-0063	Chevron	exploration	3,112,243,916	2,017
INV-0064	Chevron	development	4,511,497,256	2,011
INV-0065	Shell	exploration	3,339,449,204	2,000
INV-0066	Chevron	exploration	1,040,606,660	2,021
INV-0067	Chevron	development	3,562,741,682	2,020
INV-0068	Shell	development	2,602,543,465	2,010
INV-0069	Shell	infrastructure	3,992,429,051	2,017
INV-0070	Chevron	exploration	4,837,612,776	2,002
INV-0071	Shell	exploration	1,858,874,235	2,018
INV-0072	Shell	infrastructure	953,046,811	2,022
INV-0073	Chevron	infrastructure	2,775,767,334	2,017
INV-0074	Chevron	exploration	4,435,530,647	2,011
INV-0075	Chevron	development	3,020,250,382	2,011
INV-0076	ExxonMobil	exploration	4,991,803,828	2,024
INV-0077	Shell	exploration	4,878,867,211	2,015
INV-0078	Shell	infrastructure	4,376,115,574	2,015
INV-0079	ExxonMobil	exploration	2,724,875,825	2,023
INV-0080	Chevron	development	3,188,328,209	2,010
INV-0081	Chevron	exploration	1,372,285,310	2,001
INV-0082	ExxonMobil	development	398,476,430	2,008
INV-0083	Shell	development	3,274,725,733	2,022
INV-0084	Shell	infrastructure	3,623,883,903	2,016
INV-0085	ExxonMobil	exploration	1,493,907,708	2,020
INV-0086	Shell	exploration	1,808,053,215	2,023
INV-0087	ExxonMobil	infrastructure	4,423,464,125	2,011
INV-0088	ExxonMobil	infrastructure	3,064,922,381	2,021
INV-0089	Shell	development	231,879,408	2,004
INV-0090	Shell	infrastructure	2,347,380,974	2,024
INV-0091	ExxonMobil	exploration	3,663,925,488	2,017
INV-0092	Shell	infrastructure	1,722,487,367	2,003
INV-0093	ExxonMobil	exploration	4,219,219,745	2,005
INV-0094	ExxonMobil	infrastructure	968,683,408	2,024
INV-0095	Shell	infrastructure	1,805,306,596	2,021
INV-0096	Chevron	exploration	1,107,993,781	2,006
INV-0097	Chevron	infrastructure	4,570,812,660	2,006
INV-0098	Shell	infrastructure	911,299,025	2,024
INV-0099	ExxonMobil	infrastructure	3,893,420,299	2,017
INV-0100	Shell	exploration	1,637,958,904	2,020

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Africa Synth Energy Oilgas Investments 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 Investments 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-investments-nigeria.

Dataset Profile

Field	Value
Hugging Face repo	`electricsheepafrica/africa-synth-energy-oilgas-investments-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 22:32:04+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-investments-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-investments-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_investments_nigeria_2026,
  title        = {Africa Synth Energy Oilgas Investments Nigeria | Africa (Electric Sheep Africa metadata inventory)},
  author       = {Public dataset metadata},
  year         = {2026},
  url          = {https://huggingface.co/datasets/electricsheepafrica/africa-synth-energy-oilgas-investments-nigeria},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-synth-energy-oilgas-investments-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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