| --- |
| license: cc-by-4.0 |
| language: |
| - en |
| task_categories: |
| - tabular-classification |
| - tabular-regression |
| multilinguality: monolingual |
| size_categories: |
| - 10K<n<100K |
| tags: |
| - "africa" |
| - "electric-sheep-africa" |
| - "open-data" |
| - "metadata-backed" |
| - "health" |
| - "csv" |
| - "tabular" |
| - "text" |
| - "environmental-health" |
| - "asbestos" |
| - "mesothelioma" |
| - "occupational-health" |
| - "lung-cancer" |
| - "synthetic" |
| - "sub-saharan-africa" |
| - "cancer" |
| pretty_name: "Asbestos Exposure & Mesothelioma (SSA) | Africa (Electric Sheep Africa metadata inventory)" |
| --- |
| |
| # Asbestos Exposure & Mesothelioma (SSA) | Africa (Electric Sheep Africa metadata inventory) |
|
|
| **Size category:** `10K<n<100K` - **Formats:** `csv` - **Sector:** health - *Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)* |
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|
|
| ## TL;DR |
|
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| 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 |
|
|
| Health datasets help researchers examine disease burden, service delivery, risk factors, outcomes, and public-health program performance. |
|
|
| 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. Asbestos Exposure & Mesothelioma in Sub-Saharan Africa Abstract Synthetic dataset modelling asbestos exposure pathways, fibre types, and health outcomes (mesothelioma, asbestosis, lung cancer) across three settings in SSA. South Africa was a global leader in asbestos production; Wagner (1960) discovered the mesothelioma link… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-mental-health-asbestos-mesothelioma-all. |
|
|
| ## Dataset Profile |
|
|
| | Field | Value | |
| |---|---| |
| | Hugging Face repo | [`electricsheepafrica/africa-synth-mental-health-asbestos-mesothelioma-all`](https://huggingface.co/datasets/electricsheepafrica/africa-synth-mental-health-asbestos-mesothelioma-all) | |
| | Sector | health | |
| | Topic tags | environmental-health, asbestos, mesothelioma, occupational-health, lung-cancer, synthetic, sub-saharan-africa | |
| | Modalities | `tabular`, `text` | |
| | Formats | `csv` | |
| | Size category | `10K<n<100K` | |
| | Countries | Africa-wide or source-defined African coverage | |
| | ISO3 coverage | `not declared` | |
| | Last modified on HF | `2026-04-14 22:46:00+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 |
|
|
| ```python |
| from datasets import load_dataset |
| |
| ds = load_dataset("electricsheepafrica/africa-synth-mental-health-asbestos-mesothelioma-all") |
| print(ds) |
| |
| split_name = next(iter(ds)) |
| table = ds[split_name] |
| print(table.features) |
| print(table[:3]) |
| ``` |
|
|
| ### Convert To Pandas When Tabular |
|
|
| ```python |
| 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: country, 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:** [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) |
| - **Hugging Face URL:** [https://huggingface.co/datasets/electricsheepafrica/africa-synth-mental-health-asbestos-mesothelioma-all](https://huggingface.co/datasets/electricsheepafrica/africa-synth-mental-health-asbestos-mesothelioma-all) |
| - **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 |
| |
| ```bibtex |
| @misc{electric_sheep_africa_africa_synth_mental_health_asbestos_mesothelioma_all_2026, |
| title = {Asbestos Exposure & Mesothelioma (SSA) | Africa (Electric Sheep Africa metadata inventory)}, |
| author = {Public dataset metadata}, |
| year = {2026}, |
| url = {https://huggingface.co/datasets/electricsheepafrica/africa-synth-mental-health-asbestos-mesothelioma-all}, |
| publisher = {Hugging Face Datasets, engineered by Electric Sheep Africa}, |
| howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-synth-mental-health-asbestos-mesothelioma-all}} |
| } |
| ``` |
| |
| ## License |
| |
| Released under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). |
| |
| 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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