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electricsheepafrica/african-e-waste-flows

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Hugging Face2026-03-21 更新2026-03-29 收录
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--- license: cc-by-4.0 tags: - waste - e-waste - circular-economy - sub-saharan-africa - synthetic - environment task_categories: - tabular-regression language: - en pretty_name: African E-Waste Flows size_categories: - 10K<n<100K --- # African E-Waste Flows Synthetic dataset modelling e-waste generation, import flows, processing pathways, and environmental impact across 10 Sub-Saharan African countries under 3 policy scenarios. ## Dataset Description - **30,000 records** — 10,000 per scenario (baseline, enforcement\_basel, informal\_dominance) - **10 countries** — Nigeria, Ghana, Kenya, Tanzania, South Africa, Ethiopia, Senegal, DRC, Cameroon, Uganda - **5 waste types** — computers, phones, appliances, batteries, cables - **9 years** — 2015–2023 - **16 variables** per record ## Variables | Variable | Description | |---|---| | `record_id` | Unique row identifier | | `country` | Country name | | `year` | Reporting year | | `waste_type` | Category of e-waste | | `import_volume_tonnes` | E-waste imported (tonnes) | | `domestic_generation_tonnes` | Domestically generated e-waste (tonnes) | | `formal_recycling_tonnes` | Processed via formal sector (tonnes) | | `informal_processing_tonnes` | Processed via informal sector (tonnes) | | `material_recovery_rate_pct` | % of materials recovered | | `hazardous_content_score` | Hazard level (0–10) | | `worker_exposure_index` | Worker health risk index | | `formal_sector_employment` | Formal sector jobs | | `informal_sector_employment` | Informal sector jobs | | `revenue_usd_millions` | Revenue in USD millions | | `basel_compliance_score` | Basel Convention compliance (0–10) | | `environmental_impact_score` | Composite environmental impact (0–100) | | `scenario` | Policy scenario | ## Scenarios - **baseline** — Current trajectory, ~15% formal recycling - **enforcement\_basel** — Stricter Basel Convention enforcement, 35% formal recycling - **informal\_dominance** — Weak governance, dominant informal processing (~5% formal) ## Geographical Context - **Ghana (Agbogbloshie)** — One of the world's largest e-waste processing sites; informal dismantling with significant health and environmental impacts. - **Nigeria (Alaba International Market)** — Major hub for second-hand electronics imports and informal refurbishment in West Africa. ## Generation Run `python generate_dataset.py` to regenerate the dataset. Requires `pandas`, `numpy`, `pyarrow`. ## Validation Run `python validate_dataset.py` to verify dataset integrity. ## License CC-BY-4.0
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