Upload dataset folder
Browse files- README.md +154 -0
- data/train-00000-of-00001.parquet +3 -0
- metadata/source_snapshot.json +56 -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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| 5 |
+
task_categories:
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- tabular-regression
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- time-series-forecasting
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multilinguality: monolingual
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size_categories:
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- 1K<n<10K
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tags:
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- tabular
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- csv
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- africa
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- algeria
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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: "HDX HAPI - Coordination & Context: National Risk | Africa (Algeria official open data)"
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---
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# HDX HAPI - Coordination & Context: National Risk | Africa (Algeria official open data)
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1,910 rows - 1 Africa country - 2025 - Repackaged by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)
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+

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## TL;DR
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This dataset packages one official `CSV` resource from **Algeria** 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:** [HDX HAPI - Coordination & Context: National Risk](https://data.humdata.org/dataset/hdx-hapi-national-risk)
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- **Publisher:** HDX Humanitarian API Data
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- **Resource:** [Global Coordination & Context: National Risk](https://data.humdata.org/dataset/856c326d-748c-43c2-89e4-8b25098a7340/resource/0af14f51-8db7-4131-87c9-30479054e629/download/hdx_hapi_national_risk_global.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:** `indicator_long`
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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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| `DZA` | 1,910 | 2025 | 2025 | `Algeria` |
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## Indicators or Resource Contents
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- `hdx-hapi-coordination-context-national-risk-has-hrp-2060cdf5` - HDX HAPI - Coordination & Context: National Risk - has hrp
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- `hdx-hapi-coordination-context-national-risk-in-gho-9ec2aa1a` - HDX HAPI - Coordination & Context: National Risk - in gho
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| 63 |
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- `hdx-hapi-coordination-context-national-risk-risk-class-4b1d2a0f` - HDX HAPI - Coordination & Context: National Risk - risk class
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- `hdx-hapi-coordination-context-national-risk-global-rank-35ab7bfc` - HDX HAPI - Coordination & Context: National Risk - global rank
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- `hdx-hapi-coordination-context-national-risk-overall-risk-60041bc1` - HDX HAPI - Coordination & Context: National Risk - overall risk
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- `hdx-hapi-coordination-context-national-risk-hazard-exposure-risk-8614df3b` - HDX HAPI - Coordination & Context: National Risk - hazard exposure risk
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- `hdx-hapi-coordination-context-national-risk-vulnerability-risk-f460988d` - HDX HAPI - Coordination & Context: National Risk - vulnerability risk
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- `hdx-hapi-coordination-context-national-risk-coping-capacity-risk-41205136` - HDX HAPI - Coordination & Context: National Risk - coping capacity risk
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- `hdx-hapi-coordination-context-national-risk-meta-missing-indicators-pct-76a6442c` - HDX HAPI - Coordination & Context: National Risk - meta missing indicators pct
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- `hdx-hapi-coordination-context-national-risk-meta-avg-recentness-years-8ff53211` - HDX HAPI - Coordination & Context: National Risk - meta avg recentness years
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## Schema
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| Column | Type | Description | Example |
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|--------|------|-------------|---------|
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| `indicator_id` | `string` | Stable indicator identifier. | `hdx-hapi-coordination-context-national-risk-has-hrp-2060cdf5` |
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| `indicator_name` | `string` | Human-readable indicator name. | `HDX HAPI - Coordination & Context: National Risk - has hrp` |
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| `country_iso3` | `string` | ISO3 country code. | `DZA` |
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| `country_name` | `string` | Country name. | `Algeria` |
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| `year` | `Int64` | Observation year. | `2025` |
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| `value` | `float64` | Numeric observation value. | `1.0` |
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| `unit` | `string` | Measurement unit, when available. | `source_units_unspecified` |
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| `dimension_location_code` | `string` | Source dimension. | `AFG` |
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| `dimension_reference_period_end` | `string` | Source dimension. | `2025-12-31` |
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| `source_period_start_year` | `Int64` | First year inferred from source resource metadata. | `` |
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| `source_period_end_year` | `Int64` | Last year inferred from source resource metadata. | `` |
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| `source_period_label` | `string` | Human-readable period inferred from source resource metadata. | `` |
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| `source_provider` | `category` | Publishing organization. | `HDX Humanitarian API Data` |
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| `source_dataset` | `category` | Source package title. | `HDX HAPI - Coordination & Context: National Risk` |
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| `source_resource` | `category` | Source resource title. | `Global Coordination & Context: National Risk` |
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| `source_package_id` | `category` | CKAN package UUID. | `856c326d-748c-43c2-89e4-8b25098a7340` |
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| `source_resource_id` | `category` | CKAN resource UUID. | `0af14f51-8db7-4131-87c9-30479054e629` |
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| `source_url` | `category` | Original source resource URL. | `https://data.humdata.org/dataset/856c326d-748c-43c2-89e4-8b25098a7340/re` |
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| `license_id` | `category` | Source license identifier. | `cc-by` |
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| `retrieved_at` | `category` | UTC retrieval timestamp. | `2026-08-25T16:52:17Z` |
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| 96 |
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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-algeria-hdx-hapi-coordination-context-national-risk-af34bde6")
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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"] == "DZA"]
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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_algeria_hdx_hapi_coordination_context_national_risk_af34bde6_2025,
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title = {HDX HAPI - Coordination & Context: National Risk | Africa (Algeria official open data)},
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| 126 |
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author = {HDX Humanitarian API Data},
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| 127 |
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year = {2025},
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| 128 |
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url = {https://data.humdata.org/dataset/hdx-hapi-national-risk},
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| 129 |
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publisher = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
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howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-algeria-hdx-hapi-coordination-context-national-risk-af34bde6}}
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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) HDX Humanitarian API Data. 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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| 141 |
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## About Electric Sheep
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| 142 |
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| 143 |
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Electric Sheep Africa is part of the Electric Sheep mission: a unified,
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| 144 |
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ML-ready data layer for Africa on Hugging Face. We pull data from authoritative
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| 145 |
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open sources, normalize the schemas, package as Parquet, and publish with
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| 146 |
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consistent dataset cards so researchers and developers can use `load_dataset()`
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| 147 |
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to start working in seconds.
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| 148 |
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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/856c326d-748c-43c2-89e4-8b25098a7340/resource/0af14f51-8db7-4131-87c9-30479054e629/download/hdx_hapi_national_risk_global.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:e8efb01210312fb7aeb8ed2f75fe331bcca84e44997dc3ff7754e70eac180b30
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size 19161
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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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"indicator_id",
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| 4 |
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"indicator_name",
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| 5 |
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"country_iso3",
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| 6 |
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"country_name",
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| 7 |
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"year",
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| 8 |
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"value",
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| 9 |
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"unit",
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| 10 |
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"dimension_location_code",
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| 11 |
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"dimension_reference_period_end",
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| 12 |
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"source_period_start_year",
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"source_period_end_year",
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| 14 |
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"source_period_label",
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| 15 |
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"source_provider",
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| 16 |
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"source_dataset",
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| 17 |
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"source_resource",
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| 18 |
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"source_package_id",
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| 19 |
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"source_resource_id",
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| 20 |
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"source_url",
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| 21 |
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"license_id",
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| 22 |
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"retrieved_at"
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| 23 |
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],
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| 24 |
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"generated_at": "2026-08-25T16:53:52Z",
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| 25 |
+
"indicator_count": 10,
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| 26 |
+
"mode": "indicator_long",
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| 27 |
+
"repo_id": "electricsheepafrica/africa-algeria-hdx-hapi-coordination-context-national-risk-af34bde6",
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| 28 |
+
"rows": 1910,
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| 29 |
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"source": {
|
| 30 |
+
"api_base_url": "https://data.humdata.org/api/3/action",
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| 31 |
+
"country_iso3": "DZA",
|
| 32 |
+
"country_name": "Algeria",
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| 33 |
+
"group_names": "afg,alb,dza,ago,atg,arg,arm,aus,aut,aze,bhs,bhr,bgd,brb,blr,bel,blz,ben,btn,bol,bih,bwa,bra,brn,bgr,bfa,bdi,cpv,khm,cmr,can,caf,tcd,chl,chn,col,com,cog,cri,civ,hrv,cub,cyp,cze,prk,cod,dnk,dji,dma,dom,ecu,egy,slv,gnq,eri,est,swz,eth,fji,fin,fra,gab,gmb,geo,deu,gha,grc,grd,gtm,gin,gnb,guy,hti,hnd,hun,isl,ind,idn,irn,irq,irl,isr,ita,jam,jpn,jor,kaz,ken,kir,kwt,kgz,lao,lva,lbn,lso,lbr,lby,lie,ltu,lux,mdg,mwi,mys,mdv,mli,mlt,mhl,mrt,mus,mex,fsm,mng,mne,mar,moz,mmr,nam,nru,npl,nld,nzl,nic,ner,nga,mkd,nor,omn,pak,plw,pan,png,pry,per,phl,pol,prt,qat,kor,mda,rou,rus,rwa,kna,lca,vct,wsm,stp,sau,sen,srb,syc,sle,sgp,svk,svn,slb,som,zaf,ssd,esp,lka,pse,sdn,sur,swe,che,syr,tjk,tha,tls,tgo,ton,tto,tun,tkm,tuv,tur,uga,ukr,are,gbr,tza,usa,ury,uzb,vut,ven,vnm,yem,zmb,zwe",
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| 34 |
+
"license_id": "cc-by",
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| 35 |
+
"license_title": "Creative Commons Attribution International (CC BY)",
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| 36 |
+
"license_url": "http://www.opendefinition.org/licenses/cc-by",
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| 37 |
+
"organization_name": "hdx-hapi",
|
| 38 |
+
"organization_title": "HDX Humanitarian API Data",
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| 39 |
+
"package_id": "856c326d-748c-43c2-89e4-8b25098a7340",
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| 40 |
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"package_name": "hdx-hapi-national-risk",
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| 41 |
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"package_notes": "This dataset contains data obtained from the [HDX Humanitarian API](https://hapi.humdata.org/) (HDX HAPI), which provides standardized humanitarian indicators designed for seamless interoperability from multiple sources. The data facilitates automated workflows and visualizations to support humanitarian decision making. For more information, please see the HDX HAPI [landing page](https://data.humdata.org/hapi) and [documentation](https://hdx-hapi.readthedocs.io/en/latest/).",
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| 42 |
+
"package_page_url": "https://data.humdata.org/dataset/hdx-hapi-national-risk",
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| 43 |
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"package_title": "HDX HAPI - Coordination & Context: National Risk",
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| 44 |
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"portal_url": "https://data.humdata.org",
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| 45 |
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"resource_description": "National Risk data from HDX HAPI, please see [the documentation](https://hdx-hapi.readthedocs.io/en/latest/data_usage_guides/coordination_and_context/#national-risk) for more information",
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| 46 |
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"resource_format": "CSV",
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| 47 |
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"resource_id": "0af14f51-8db7-4131-87c9-30479054e629",
|
| 48 |
+
"resource_last_modified": "2026-05-28T21:57:25.653862",
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| 49 |
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"resource_name": "Global Coordination & Context: National Risk",
|
| 50 |
+
"resource_position": "0",
|
| 51 |
+
"resource_url": "https://data.humdata.org/dataset/856c326d-748c-43c2-89e4-8b25098a7340/resource/0af14f51-8db7-4131-87c9-30479054e629/download/hdx_hapi_national_risk_global.csv",
|
| 52 |
+
"tag_names": "hazards and risk"
|
| 53 |
+
},
|
| 54 |
+
"year_max": 2025,
|
| 55 |
+
"year_min": 2025
|
| 56 |
+
}
|