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| license: cc-by-4.0 | |
| language: | |
| - en | |
| task_categories: | |
| - tabular-classification | |
| - tabular-regression | |
| multilinguality: monolingual | |
| size_categories: | |
| - 100K<n<1M | |
| tags: | |
| - tabular | |
| - csv | |
| - africa | |
| - cameroon | |
| - official-statistics | |
| - open-data | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: data/train-00000-of-00001.parquet | |
| pretty_name: "Wildfire: Humanitarian Response Plan (HRP) Countries Hazard Data for Disaster Risk Assessment | Africa (Cameroon official open data)" | |
| # Wildfire: Humanitarian Response Plan (HRP) Countries Hazard Data for Disaster Risk Assessment | Africa (Cameroon official open data) | |
| 108,073 rows - 1 Africa country - 2000-2021 - Repackaged by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica) | |
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| ## TL;DR | |
| This dataset packages one official `CSV` resource from **Cameroon** as | |
| ML-ready Parquet. The source file is the provenance boundary; all usable | |
| indicators or tabular columns from the resource stay together in this repo. | |
| ## About the source | |
| - **Source:** [Wildfire: Humanitarian Response Plan (HRP) Countries Hazard Data for Disaster Risk Assessment](https://data.humdata.org/dataset/climada-wildfire-dataset) | |
| - **Publisher:** ETH Zürich - Weather and Climate Risks | |
| - **Resource:** [dr-congo-admin1-wildfire.csv](https://data.humdata.org/dataset/ca740910-069b-4a78-92a8-595bd5b2c930/resource/690ce34b-08f9-4fa4-8166-4e650ea3b4a1/download/dr-congo-admin1-wildfire.csv) | |
| - **Format:** `CSV` | |
| - **License:** [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) | |
| - **Packaging mode:** `tabular_resource` | |
| ## Geographic coverage | |
| 1 Africa country: | |
| | Country | Rows | First year | Last year | Name | | |
| |---------|-----:|-----------:|----------:|------| | |
| | `CMR` | 108,073 | 2000 | 2021 | `Cameroon` | | |
| ## Indicators or Resource Contents | |
| - This source file is packaged as a normalized tabular resource. | |
| ## Schema | |
| | Column | Type | Description | Example | | |
| |--------|------|-------------|---------| | |
| | `source_record_id` | `string` | Stable row identifier for tabular resources. | `690ce34b-08f9-4fa4-8166-4e650ea3b4a1:0` | | |
| | `country_iso3` | `category` | ISO3 country code. | `CMR` | | |
| | `country_name` | `category` | Country name. | `Cameroon` | | |
| | `country_name_2` | `string` | Source column. | `#country` | | |
| | `admin1_name` | `string` | Source column. | `#adm1+name` | | |
| | `latitude` | `float64` | Source column. | `` | | |
| | `longitude` | `float64` | Source column. | `` | | |
| | `aggregation` | `string` | Source column. | `` | | |
| | `indicator` | `string` | Source column. | `#indicator+name` | | |
| | `value` | `float64` | Numeric observation value. | `` | | |
| | `source_period_start_year` | `Int64` | First year inferred from source resource metadata. | `2000` | | |
| | `source_period_end_year` | `Int64` | Last year inferred from source resource metadata. | `2021` | | |
| | `source_period_label` | `category` | Human-readable period inferred from source resource metadata. | `2000-2021` | | |
| | `source_provider` | `category` | Publishing organization. | `ETH Zürich - Weather and Climate Risks` | | |
| | `source_dataset` | `category` | Source package title. | `Wildfire: Humanitarian Response Plan (HRP) Countries Hazard Data for Dis` | | |
| | `source_resource` | `category` | Source resource title. | `dr-congo-admin1-wildfire.csv` | | |
| | `source_package_id` | `category` | CKAN package UUID. | `ca740910-069b-4a78-92a8-595bd5b2c930` | | |
| | `source_resource_id` | `category` | CKAN resource UUID. | `690ce34b-08f9-4fa4-8166-4e650ea3b4a1` | | |
| | `source_url` | `category` | Original source resource URL. | `https://data.humdata.org/dataset/ca740910-069b-4a78-92a8-595bd5b2c930/re` | | |
| | `license_id` | `category` | Source license identifier. | `cc-by` | | |
| | `retrieved_at` | `category` | UTC retrieval timestamp. | `2026-08-25T16:58:39Z` | | |
| ## Usage | |
| ```python | |
| from datasets import load_dataset | |
| ds = load_dataset("electricsheepafrica/africa-cameroon-wildfire-humanitarian-response-plan-hrp-countries-hazard-d-e8f58525") | |
| df = ds["train"].to_pandas() | |
| print(df.head()) | |
| ``` | |
| ### Filter to one country | |
| ```python | |
| sample_country = df[df["country_iso3"] == "CMR"] | |
| ``` | |
| ### Work with indicators | |
| ```python | |
| if "indicator_id" in df.columns: | |
| print(df["indicator_id"].value_counts().head()) | |
| sample = df.sort_values([c for c in ["indicator_id", "year"] if c in df.columns]) | |
| ``` | |
| ## Citation | |
| ```bibtex | |
| @misc{electric_sheep_africa_africa_cameroon_wildfire_humanitarian_response_plan_hrp_countries_hazard_d_e8f58_2021, | |
| title = {Wildfire: Humanitarian Response Plan (HRP) Countries Hazard Data for Disaster Risk Assessment | Africa (Cameroon official open data)}, | |
| author = {ETH Zürich - Weather and Climate Risks}, | |
| year = {2021}, | |
| url = {https://data.humdata.org/dataset/climada-wildfire-dataset}, | |
| publisher = {HuggingFace Datasets, repackaged by Electric Sheep Africa}, | |
| howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-cameroon-wildfire-humanitarian-response-plan-hrp-countries-hazard-d-e8f58525}} | |
| } | |
| ``` | |
| ## License | |
| Released under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). | |
| Original data (c) ETH Zürich - Weather and Climate Risks. When using this dataset, please cite both the | |
| original source above and the Electric Sheep Africa repackaging. | |
| ## About Electric Sheep | |
| Electric Sheep Africa is part of the Electric Sheep mission: a unified, | |
| ML-ready data layer for Africa on Hugging Face. We pull data from authoritative | |
| open sources, normalize the schemas, package as Parquet, and publish with | |
| consistent dataset cards so researchers and developers can use `load_dataset()` | |
| to start working in seconds. | |
| Browse the full collection: [huggingface.co/electricsheepafrica](https://huggingface.co/electricsheepafrica) | |
| --- | |
| Provenance: ingested 2026-08-25 via the Electric Sheep pipeline. Source URL: | |
| https://data.humdata.org/dataset/ca740910-069b-4a78-92a8-595bd5b2c930/resource/690ce34b-08f9-4fa4-8166-4e650ea3b4a1/download/dr-congo-admin1-wildfire.csv | |