--- license: cc-by-4.0 language: - en task_categories: - tabular-classification - tabular-regression multilinguality: monolingual size_categories: - n<1K 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: "Sahel : Humanitarian Needs Overview | Africa (Cameroon official open data)" --- # Sahel : Humanitarian Needs Overview | Africa (Cameroon official open data) 88 rows - 1 Africa country - 2016-2017 - Repackaged by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica) ![rows](https://img.shields.io/badge/rows-88-blue) ![countries](https://img.shields.io/badge/countries-1-green) ![years](https://img.shields.io/badge/years-2016-2017-orange) ![indicators](https://img.shields.io/badge/indicators-0-purple) ![license](https://img.shields.io/badge/license-cc-by-4.0-lightgrey) ## 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:** [Sahel : Humanitarian Needs Overview](https://data.humdata.org/dataset/sahel-humanitarian-needs-overview) - **Publisher:** OCHA West and Central Africa (ROWCA) - **Resource:** [HNO 2017 Sahel-Lake Chad Nutrition as of 25_11_2016.csv](https://data.humdata.org/dataset/47f6ef46-500f-421a-9fa2-fefd93facf95/resource/487e329d-3959-49bf-8e12-2675be7008ae/download/hno-2017-sahel-lake-chad-nutrition-as-of-25_11_2016.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` | 88 | 2016 | 2017 | `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. | `487e329d-3959-49bf-8e12-2675be7008ae:0` | | `country_iso3` | `category` | ISO3 country code. | `CMR` | | `country_name` | `category` | Country name. | `Cameroon` | | `country` | `string` | Source column. | `#country` | | `admin1` | `string` | Source column. | `#adm1` | | `sam` | `float64` | Source column. | `` | | `source_period_start_year` | `Int64` | First year inferred from source resource metadata. | `2016` | | `source_period_end_year` | `Int64` | Last year inferred from source resource metadata. | `2017` | | `source_period_label` | `category` | Human-readable period inferred from source resource metadata. | `2016-2017` | | `source_provider` | `category` | Publishing organization. | `OCHA West and Central Africa (ROWCA)` | | `source_dataset` | `category` | Source package title. | `Sahel : Humanitarian Needs Overview` | | `source_resource` | `category` | Source resource title. | `HNO 2017 Sahel-Lake Chad Nutrition as of 25_11_2016.csv` | | `source_package_id` | `category` | CKAN package UUID. | `47f6ef46-500f-421a-9fa2-fefd93facf95` | | `source_resource_id` | `category` | CKAN resource UUID. | `487e329d-3959-49bf-8e12-2675be7008ae` | | `source_url` | `category` | Original source resource URL. | `https://data.humdata.org/dataset/47f6ef46-500f-421a-9fa2-fefd93facf95/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-sahel-humanitarian-needs-overview-c397802e") 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_sahel_humanitarian_needs_overview_c397802e_2017, title = {Sahel : Humanitarian Needs Overview | Africa (Cameroon official open data)}, author = {OCHA West and Central Africa (ROWCA)}, year = {2017}, url = {https://data.humdata.org/dataset/sahel-humanitarian-needs-overview}, publisher = {HuggingFace Datasets, repackaged by Electric Sheep Africa}, howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-cameroon-sahel-humanitarian-needs-overview-c397802e}} } ``` ## License Released under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). Original data (c) OCHA West and Central Africa (ROWCA). 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/47f6ef46-500f-421a-9fa2-fefd93facf95/resource/487e329d-3959-49bf-8e12-2675be7008ae/download/hno-2017-sahel-lake-chad-nutrition-as-of-25_11_2016.csv