Upload dataset folder
Browse files- README.md +151 -0
- data/train-00000-of-00001.parquet +3 -0
- metadata/source_snapshot.json +62 -0
README.md
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| 1 |
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---
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license: cc-by-4.0
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language:
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- en
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task_categories:
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- tabular-classification
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- tabular-regression
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multilinguality: monolingual
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size_categories:
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- n<1K
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tags:
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- tabular
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- csv
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- africa
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- cameroon
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- official-statistics
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- open-data
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-00000-of-00001.parquet
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pretty_name: "Cameroon: Humanitarian Needs | Africa (Cameroon official open data)"
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---
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# Cameroon: Humanitarian Needs | Africa (Cameroon official open data)
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362 rows - 1 Africa country - 2024 - Repackaged by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)
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## TL;DR
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This dataset packages one official `CSV` resource from **Cameroon** as
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ML-ready Parquet. The source file is the provenance boundary; all usable
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indicators or tabular columns from the resource stay together in this repo.
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## About the source
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- **Source:** [Cameroon: Humanitarian Needs](https://data.humdata.org/dataset/cameroon-humanitarian-needs)
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- **Publisher:** OCHA Humanitarian Programme Cycle Tools (HPC Tools)
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- **Resource:** [cmr_hpc_needs_api_2024.csv](https://data.humdata.org/dataset/aa08eb7c-2951-44d0-aac2-d6ed3b839ae0/resource/740f8f51-ebfb-419a-9f7f-db0d2fe613a2/download/cmr_hpc_needs_api_2024.csv)
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- **Format:** `CSV`
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- **License:** [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)
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- **Packaging mode:** `tabular_resource`
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## Geographic coverage
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1 Africa country:
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| Country | Rows | First year | Last year | Name |
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|---------|-----:|-----------:|----------:|------|
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| `CMR` | 362 | 2024 | 2024 | `Cameroon` |
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## Indicators or Resource Contents
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- This source file is packaged as a normalized tabular resource.
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## Schema
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| Column | Type | Description | Example |
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|--------|------|-------------|---------|
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| `source_record_id` | `string` | Stable row identifier for tabular resources. | `740f8f51-ebfb-419a-9f7f-db0d2fe613a2:0` |
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| `country_iso3` | `category` | ISO3 country code. | `CMR` |
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| `country_name` | `category` | Country name. | `Cameroon` |
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| `year` | `Int64` | Observation year. | `2024` |
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| `admin_1_pcode` | `string` | Source column. | `#adm1+code` |
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| `admin_1_name` | `string` | Source column. | `#adm1+name` |
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| 73 |
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| `description` | `string` | Source column. | `#sector+description` |
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| `cluster` | `string` | Source column. | `#sector+cluster+code` |
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| `category` | `string` | Source column. | `#category` |
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| `population` | `string` | Source column. | `#population` |
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| `in_need` | `float64` | Source column. | `` |
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| `targeted` | `float64` | Source column. | `` |
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| `affected` | `string` | Source column. | `#affected` |
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| `reached` | `string` | Source column. | `#reached` |
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| `info` | `string` | Source column. | `#meta+info` |
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| `source_period_start_year` | `Int64` | First year inferred from source resource metadata. | `2024` |
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| `source_period_end_year` | `Int64` | Last year inferred from source resource metadata. | `2024` |
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| `source_period_label` | `category` | Human-readable period inferred from source resource metadata. | `2024` |
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| `source_provider` | `category` | Publishing organization. | `OCHA Humanitarian Programme Cycle Tools (HPC Tools)` |
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| `source_dataset` | `category` | Source package title. | `Cameroon: Humanitarian Needs` |
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| `source_resource` | `category` | Source resource title. | `cmr_hpc_needs_api_2024.csv` |
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| `source_package_id` | `category` | CKAN package UUID. | `aa08eb7c-2951-44d0-aac2-d6ed3b839ae0` |
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| `source_resource_id` | `category` | CKAN resource UUID. | `740f8f51-ebfb-419a-9f7f-db0d2fe613a2` |
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| `source_url` | `category` | Original source resource URL. | `https://data.humdata.org/dataset/aa08eb7c-2951-44d0-aac2-d6ed3b839ae0/re` |
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| `license_id` | `category` | Source license identifier. | `cc-by` |
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| `retrieved_at` | `category` | UTC retrieval timestamp. | `2026-08-25T16:58:39Z` |
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## Usage
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```python
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from datasets import load_dataset
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ds = load_dataset("electricsheepafrica/africa-cameroon-cameroon-humanitarian-needs-eb7f62ae")
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df = ds["train"].to_pandas()
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print(df.head())
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```
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### Filter to one country
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```python
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sample_country = df[df["country_iso3"] == "CMR"]
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```
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### Work with indicators
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```python
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if "indicator_id" in df.columns:
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print(df["indicator_id"].value_counts().head())
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sample = df.sort_values([c for c in ["indicator_id", "year"] if c in df.columns])
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```
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## Citation
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```bibtex
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@misc{electric_sheep_africa_africa_cameroon_cameroon_humanitarian_needs_eb7f62ae_2024,
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title = {Cameroon: Humanitarian Needs | Africa (Cameroon official open data)},
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author = {OCHA Humanitarian Programme Cycle Tools (HPC Tools)},
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year = {2024},
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url = {https://data.humdata.org/dataset/cameroon-humanitarian-needs},
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publisher = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
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howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-cameroon-cameroon-humanitarian-needs-eb7f62ae}}
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}
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```
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## License
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Released under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/).
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Original data (c) OCHA Humanitarian Programme Cycle Tools (HPC Tools). When using this dataset, please cite both the
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original source above and the Electric Sheep Africa repackaging.
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## About Electric Sheep
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Electric Sheep Africa is part of the Electric Sheep mission: a unified,
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ML-ready data layer for Africa on Hugging Face. We pull data from authoritative
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open sources, normalize the schemas, package as Parquet, and publish with
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consistent dataset cards so researchers and developers can use `load_dataset()`
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to start working in seconds.
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Browse the full collection: [huggingface.co/electricsheepafrica](https://huggingface.co/electricsheepafrica)
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---
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Provenance: ingested 2026-08-25 via the Electric Sheep pipeline. Source URL:
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https://data.humdata.org/dataset/aa08eb7c-2951-44d0-aac2-d6ed3b839ae0/resource/740f8f51-ebfb-419a-9f7f-db0d2fe613a2/download/cmr_hpc_needs_api_2024.csv
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data/train-00000-of-00001.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:7c5b6d0738dd238f5b09419ecfe2e71b3ef789dd2c0b493146e829b45aa52f33
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size 23662
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metadata/source_snapshot.json
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{
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"columns": [
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| 3 |
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"source_record_id",
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| 4 |
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"country_iso3",
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| 5 |
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"country_name",
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| 6 |
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"year",
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| 7 |
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"admin_1_pcode",
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| 8 |
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"admin_1_name",
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| 9 |
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"description",
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| 10 |
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"cluster",
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| 11 |
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"category",
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| 12 |
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"population",
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| 13 |
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"in_need",
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"targeted",
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| 15 |
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"affected",
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| 16 |
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"reached",
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| 17 |
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"info",
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| 18 |
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"source_period_start_year",
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| 19 |
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"source_period_end_year",
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| 20 |
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"source_period_label",
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| 21 |
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"source_provider",
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| 22 |
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"source_dataset",
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| 23 |
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"source_resource",
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| 24 |
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"source_package_id",
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| 25 |
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"source_resource_id",
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| 26 |
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"source_url",
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| 27 |
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"license_id",
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| 28 |
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"retrieved_at"
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| 29 |
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],
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| 30 |
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"generated_at": "2026-08-25T17:07:54Z",
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| 31 |
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"indicator_count": 0,
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| 32 |
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"mode": "tabular_resource",
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| 33 |
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"repo_id": "electricsheepafrica/africa-cameroon-cameroon-humanitarian-needs-eb7f62ae",
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| 34 |
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"rows": 362,
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| 35 |
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"source": {
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| 36 |
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"api_base_url": "https://data.humdata.org/api/3/action",
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| 37 |
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"country_iso3": "CMR",
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| 38 |
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"country_name": "Cameroon",
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| 39 |
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"group_names": "cmr",
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| 40 |
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"license_id": "cc-by",
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| 41 |
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"license_title": "Creative Commons Attribution International (CC BY)",
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| 42 |
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"license_url": "http://www.opendefinition.org/licenses/cc-by",
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| 43 |
+
"organization_name": "ocha-hpc-tools",
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| 44 |
+
"organization_title": "OCHA Humanitarian Programme Cycle Tools (HPC Tools)",
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| 45 |
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"package_id": "aa08eb7c-2951-44d0-aac2-d6ed3b839ae0",
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| 46 |
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"package_name": "cameroon-humanitarian-needs",
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| 47 |
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"package_notes": "This dataset was compiled by the United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA) on behalf of the Humanitarian Country Team and partners. It provides the Humanitarian Country Team’s shared understanding of the crisis, including the most pressing humanitarian need and the estimated number of people who need assistance, and represents a consolidated evidence base and helps inform joint strategic response planning.",
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| 48 |
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"package_page_url": "https://data.humdata.org/dataset/cameroon-humanitarian-needs",
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| 49 |
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"package_title": "Cameroon: Humanitarian Needs",
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| 50 |
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"portal_url": "https://data.humdata.org",
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| 51 |
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"resource_description": "This resource contains standardised subnational 2024 Humanitarian Needs Overview data taken from the OCHA HPC Tools system which is under active development.",
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| 52 |
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"resource_format": "CSV",
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| 53 |
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"resource_id": "740f8f51-ebfb-419a-9f7f-db0d2fe613a2",
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| 54 |
+
"resource_last_modified": "2025-02-20T01:34:22.669025",
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| 55 |
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"resource_name": "cmr_hpc_needs_api_2024.csv",
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| 56 |
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"resource_position": "2",
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| 57 |
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"resource_url": "https://data.humdata.org/dataset/aa08eb7c-2951-44d0-aac2-d6ed3b839ae0/resource/740f8f51-ebfb-419a-9f7f-db0d2fe613a2/download/cmr_hpc_needs_api_2024.csv",
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| 58 |
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"tag_names": "gender and age disaggregated data-gadd,humanitarian needs overview-hno,hxl,people in need-pin"
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| 59 |
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},
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| 60 |
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"year_max": 2024,
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| 61 |
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"year_min": 2024
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| 62 |
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}
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