--- annotations_creators: - no-annotation language_creators: - found language: - en license: cc-by-4.0 multilinguality: - monolingual size_categories: - n<1K source_datasets: - original task_categories: - other task_ids: [] tags: - africa - humanitarian - hdx - electric-sheep-africa - humanitarian-response-plan-hrp - who-is-doing-what-and-where-3w-4w-5w - zmb pretty_name: "Zambia: Response Plan projects" dataset_info: splits: - name: train num_examples: 26 - name: test num_examples: 6 --- # Zambia: Response Plan projects **Publisher:** OCHA Humanitarian Programme Cycle Tools (HPC Tools) · **Source:** [HDX](https://data.humdata.org/dataset/hrp-projects-zmb) · **License:** `cc-by-igo` · **Updated:** 2026-03-30 --- ## Abstract Projects proposed, in progress, or completed as part of the annual Zambia Humanitarian Response Plans (HRPs) or other Humanitarian Programme Cycle plans. The original data is available on https://hpc.tools **Important:** some projects in Zambia might be missing, and others might not apply specifically to Zambia. See _Caveats_ under the _Additional information_ tab. Each row in this dataset represents time-series observations. Temporal coverage is indicated by the `startdate`, `enddate` column(s). Geographic scope: **ZMB**. *Curated into ML-ready Parquet format by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica).* --- ## Dataset Characteristics | | | |---|---| | **Domain** | Humanitarian and development data | | **Unit of observation** | Time-series observations | | **Rows (total)** | 33 | | **Columns** | 14 (1 numeric, 11 categorical, 2 datetime) | | **Train split** | 26 rows | | **Test split** | 6 rows | | **Geographic scope** | ZMB | | **Publisher** | OCHA Humanitarian Programme Cycle Tools (HPC Tools) | | **HDX last updated** | 2026-03-30 | --- ## Variables **Geographic** — `locations` (ZMB). **Temporal** — `startdate`, `enddate`. **Identifier / Metadata** — `name` (Provision of integrated livelihoods support to enhance household recovery and build resilience to future shocks., Provision of of irrigation packs and agricultural inputs, Localisation - Solarization), `versioncode` (FZMB24-AGR-217577-1, FZMB24-PRO-227159-1, FZMB24-WSH-227155-1), `response_plan_code` (FZMB24), `esa_source` (HDX), `esa_processed`. **Other** — `currentrequestedfunds` (range 16227.0–51720604.0), `objective` (Support the Ministry of Education and schools with interventions that will support learners with continued of learning during the drought. This will include school feeding, Catch-Up remediation, psychosocial support, access to alternative learning through radio, learning passport etc, Provision of agriculture inputs; small scale irrigation support, community water points rehabilitation, seed mutliplication, livestock disease out breal surveillance, supplementary feeding for livestock, vaccinations, drugs, water for livestock and wild life, Strengthen the capacity of the Government of Zambia in effective border management that maintreams the protection of vulnerable migrants including persons displaced by climate change), `partners` (MCDSS, LLCZ, Zambia Red Cross Society, MCDSS,Departmnet of Immigration, Zambia Police Service, Anti-Human Trafficking Department), `globalclusters` (Water Sanitation Hygiene, Protection, Food Security), `organizations` (United Nations Children's Fund, International Organization for Migration, World Food Programme) and 1 others. --- ## Quick Start ```python from datasets import load_dataset ds = load_dataset("electricsheepafrica/africa-hrp-projects-zmb") train = ds["train"].to_pandas() test = ds["test"].to_pandas() print(train.shape) train.head() ``` --- ## Schema | Column | Type | Null % | Range / Sample Values | |---|---|---|---| | `name` | object | 0.0% | Provision of integrated livelihoods support to enhance household recovery and build resilience to future shocks., Provision of of irrigation packs and agricultural inputs, Localisation - Solarization | | `versioncode` | object | 0.0% | FZMB24-AGR-217577-1, FZMB24-PRO-227159-1, FZMB24-WSH-227155-1 | | `currentrequestedfunds` | int64 | 0.0% | 16227.0 – 51720604.0 (mean 3214309.303) | | `objective` | object | 0.0% | Support the Ministry of Education and schools with interventions that will support learners with continued of learning during the drought. This will include school feeding, Catch-Up remediation, psychosocial support, access to alternative learning through radio, learning passport etc, Provision of agriculture inputs; small scale irrigation support, community water points rehabilitation, seed mutliplication, livestock disease out breal surveillance, supplementary feeding for livestock, vaccinations, drugs, water for livestock and wild life, Strengthen the capacity of the Government of Zambia in effective border management that maintreams the protection of vulnerable migrants including persons displaced by climate change | | `partners` | object | 33.3% | MCDSS, LLCZ, Zambia Red Cross Society, MCDSS,Departmnet of Immigration, Zambia Police Service, Anti-Human Trafficking Department | | `startdate` | datetime64[ns] | 0.0% | | | `enddate` | datetime64[ns] | 0.0% | | | `globalclusters` | object | 0.0% | Water Sanitation Hygiene, Protection, Food Security | | `locations` | object | 0.0% | ZMB | | `organizations` | object | 0.0% | United Nations Children's Fund, International Organization for Migration, World Food Programme | | `plans` | object | 0.0% | Zambia Drought Flash Appeal 2024 | | `response_plan_code` | object | 0.0% | FZMB24 | | `esa_source` | object | 0.0% | HDX | | `esa_processed` | object | 0.0% | | --- ## Numeric Summary | Column | Min | Max | Mean | Median | |---|---|---|---|---| | `currentrequestedfunds` | 16227.0 | 51720604.0 | 3214309.303 | 269250.0 | --- ## Curation Raw data was downloaded from HDX via the CKAN API and converted to Parquet. Column names were lowercased and standardised to snake_case. Common missing-value markers (`N/A`, `null`, `none`, `-`, `unknown`, `no data`, `#N/A`) were unified to `NaN`. 2 column(s) were cast from string to numeric or datetime based on parse-success rate (>85% threshold). The dataset was split 80/20 into train and test partitions using a fixed random seed (42) and saved as Snappy-compressed Parquet. --- ## Limitations - Data originates from OCHA Humanitarian Programme Cycle Tools (HPC Tools) and has not been independently validated by ESA. - Automated cleaning cannot correct for misreported values, definitional inconsistencies, or sampling bias in the original collection. - The following columns have >20% missing values and should be treated with caution in modelling: `partners`. - Refer to the [original HDX dataset page](https://data.humdata.org/dataset/hrp-projects-zmb) for the publisher's own methodology notes and caveats. --- ## Citation ```bibtex @dataset{hdx_africa_hrp_projects_zmb, title = {Zambia: Response Plan projects}, author = {OCHA Humanitarian Programme Cycle Tools (HPC Tools)}, year = {2026}, url = {https://data.humdata.org/dataset/hrp-projects-zmb}, note = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)} } ``` --- *[Electric Sheep Africa](https://huggingface.co/electricsheepafrica) — Africa's ML dataset infrastructure. Lagos, Nigeria.*