metadata
license: mit
task_categories:
- tabular-regression
- tabular-classification
tags:
- nigeria
- oil-and-gas
- energy
- petroleum
- synthetic
language:
- en
size_categories:
- 1K<n<10K
data_type: synthetic
⚠️ 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 NEITI data
- 2015-2025: ⭐⭐⭐⭐ Validated synthetic (OPEC/NNPC sources)
Schema
| Column | Type | Sample |
|---|---|---|
project_id |
object | REM-0001 |
site |
object | Site_1 |
operator |
object | ExxonMobil |
start_year |
int64 | 2010 |
cost_usd |
int64 | 26270245 |
Usage
from datasets import load_dataset
dataset = load_dataset("electricsheepafrica/nigerian_oilgas_remediation")
df = dataset['train'].to_pandas()
Citation
@dataset{nigerian_oilgas_2025,
title = {Nigerian Oil & Gas Sector Datasets},
author = {Electric Sheep Africa},
year = {2025},
publisher = {Hugging Face},
url = {https://huggingface.co/datasets/electricsheepafrica/nigerian_oilgas_remediation}
}
Collection
Part of: Nigeria Oil & Gas Sector