Upload dataset folder

README.md

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+---
+license: cc-by-4.0
+language:
+- en
+task_categories:
+- tabular-classification
+- tabular-regression
+multilinguality: monolingual
+size_categories:
+- 10K<n<100K
+tags:
+- tabular
+- zip
+- africa
+- djibouti
+- official-statistics
+- open-data
+- health
+- population
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-00000-of-00001.parquet
+pretty_name: "Djibouti: High Resolution Population Density Maps + Demographic Estimates | Africa (Djibouti official open data)"
+---
+
+# Djibouti: High Resolution Population Density Maps + Demographic Estimates | Africa (Djibouti official open data)
+
+54,553 rows - 1 Africa country - 2020 - Repackaged by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)
+
+![rows](https://img.shields.io/badge/rows-54553-blue)
+![countries](https://img.shields.io/badge/countries-1-green)
+![years](https://img.shields.io/badge/years-2020-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 `ZIP` resource from **Djibouti** 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:** [Djibouti: High Resolution Population Density Maps + Demographic Estimates](https://data.humdata.org/dataset/highresolutionpopulationdensitymaps-dji)
+- **Publisher:** AI for Good at Meta
+- **Resource:** [dji_children_under_five_2020_csv.zip](https://data.humdata.org/dataset/f419e2e0-8f49-4c91-94d3-0b7a901aaef3/resource/f3fafddd-94b4-4dec-af8c-bb40638ef0e7/download/dji_children_under_five_2020_csv.zip)
+- **Format:** `ZIP`
+- **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 |
+|---------|-----:|-----------:|----------:|------|
+| `DJI` | 54,553 | 2020 | 2020 | `Djibouti` |
+
+## 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. | `f3fafddd-94b4-4dec-af8c-bb40638ef0e7:0` |
+| `country_iso3` | `category` | ISO3 country code. | `DJI` |
+| `country_name` | `category` | Country name. | `Djibouti` |
+| `year` | `Int64` | Observation year. | `2020` |
+| `longitude` | `float64` | Source column. | `42.739305555734695` |
+| `latitude` | `float64` | Source column. | `13.000138888841969` |
+| `dji_children_under_five_2020` | `float64` | Source column. | `2.479968` |
+| `source_period_start_year` | `Int64` | First year inferred from source resource metadata. | `2020` |
+| `source_period_end_year` | `Int64` | Last year inferred from source resource metadata. | `2020` |
+| `source_period_label` | `category` | Human-readable period inferred from source resource metadata. | `2020` |
+| `source_provider` | `category` | Publishing organization. | `AI for Good at Meta` |
+| `source_dataset` | `category` | Source package title. | `Djibouti: High Resolution Population Density Maps + Demographic Estimate` |
+| `source_resource` | `category` | Source resource title. | `dji_children_under_five_2020_csv.zip` |
+| `source_package_id` | `category` | CKAN package UUID. | `f419e2e0-8f49-4c91-94d3-0b7a901aaef3` |
+| `source_resource_id` | `category` | CKAN resource UUID. | `f3fafddd-94b4-4dec-af8c-bb40638ef0e7` |
+| `source_url` | `category` | Original source resource URL. | `https://data.humdata.org/dataset/f419e2e0-8f49-4c91-94d3-0b7a901aaef3/re` |
+| `license_id` | `category` | Source license identifier. | `cc-by` |
+| `retrieved_at` | `category` | UTC retrieval timestamp. | `2026-08-16T10:32:57Z` |
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("electricsheepafrica/africa-djibouti-djibouti-high-resolution-population-density-maps-demograph-ee7bfe69")
+df = ds["train"].to_pandas()
+print(df.head())
+```
+
+### Filter to one country
+
+```python
+sample_country = df[df["country_iso3"] == "DJI"]
+```
+
+### 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_djibouti_djibouti_high_resolution_population_density_maps_demograph_ee7bf_2020,
+  title        = {Djibouti: High Resolution Population Density Maps + Demographic Estimates | Africa (Djibouti official open data)},
+  author       = {AI for Good at Meta},
+  year         = {2020},
+  url          = {https://data.humdata.org/dataset/highresolutionpopulationdensitymaps-dji},
+  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
+  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-djibouti-djibouti-high-resolution-population-density-maps-demograph-ee7bfe69}}
+}
+```
+
+## License
+
+Released under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/).
+
+Original data (c) AI for Good at Meta. 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 2026-08-16 via the Electric Sheep pipeline. Source URL:
+https://data.humdata.org/dataset/f419e2e0-8f49-4c91-94d3-0b7a901aaef3/resource/f3fafddd-94b4-4dec-af8c-bb40638ef0e7/download/dji_children_under_five_2020_csv.zip

data/train-00000-of-00001.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:26a0d097b85e5685a6bc01d7ef03b9ad990487fa76524439e9c41eab5940b764
+size 271548

metadata/source_snapshot.json

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+{
+  "columns": [
+    "source_record_id",
+    "country_iso3",
+    "country_name",
+    "year",
+    "longitude",
+    "latitude",
+    "dji_children_under_five_2020",
+    "source_period_start_year",
+    "source_period_end_year",
+    "source_period_label",
+    "source_provider",
+    "source_dataset",
+    "source_resource",
+    "source_package_id",
+    "source_resource_id",
+    "source_url",
+    "license_id",
+    "retrieved_at"
+  ],
+  "generated_at": "2026-08-16T11:26:23Z",
+  "indicator_count": 0,
+  "mode": "tabular_resource",
+  "repo_id": "electricsheepafrica/africa-djibouti-djibouti-high-resolution-population-density-maps-demograph-ee7bfe69",
+  "rows": 54553,
+  "source": {
+    "api_base_url": "https://data.humdata.org/api/3/action",
+    "country_iso3": "DJI",
+    "country_name": "Djibouti",
+    "group_names": "dji",
+    "license_id": "cc-by",
+    "license_title": "Creative Commons Attribution International (CC BY)",
+    "license_url": "http://www.opendefinition.org/licenses/cc-by",
+    "organization_name": "meta",
+    "organization_title": "AI for Good at Meta",
+    "package_id": "f419e2e0-8f49-4c91-94d3-0b7a901aaef3",
+    "package_name": "highresolutionpopulationdensitymaps-dji",
+    "package_notes": "The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Djibouti: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).",
+    "package_page_url": "https://data.humdata.org/dataset/highresolutionpopulationdensitymaps-dji",
+    "package_title": "Djibouti: High Resolution Population Density Maps + Demographic Estimates",
+    "portal_url": "https://data.humdata.org",
+    "resource_description": "",
+    "resource_format": "ZIP",
+    "resource_id": "f3fafddd-94b4-4dec-af8c-bb40638ef0e7",
+    "resource_last_modified": "2022-10-21T15:14:38.867291",
+    "resource_name": "dji_children_under_five_2020_csv.zip",
+    "resource_position": "2",
+    "resource_url": "https://data.humdata.org/dataset/f419e2e0-8f49-4c91-94d3-0b7a901aaef3/resource/f3fafddd-94b4-4dec-af8c-bb40638ef0e7/download/dji_children_under_five_2020_csv.zip",
+    "tag_names": "baseline population,children,elderly,geodata,health,women,youth"
+  },
+  "year_max": 2020,
+  "year_min": 2020
+}