Upload dataset folder

README.md

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+---
+license: cc-by-4.0
+language:
+- en
+task_categories:
+- tabular-regression
+- time-series-forecasting
+multilinguality: monolingual
+size_categories:
+- 10K<n<100K
+tags:
+- tabular
+- csv
+- africa
+- mali
+- official-statistics
+- open-data
+- population
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-00000-of-00001.parquet
+pretty_name: "Global - Subnational Population Statistics | Africa (Mali official open data)"
+---
+
+# Global - Subnational Population Statistics | Africa (Mali official open data)
+
+18,981 rows - 1 Africa country - 2001-2025 - Repackaged by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)
+
+![rows](https://img.shields.io/badge/rows-18981-blue)
+![countries](https://img.shields.io/badge/countries-1-green)
+![years](https://img.shields.io/badge/years-2001-2025-orange)
+![indicators](https://img.shields.io/badge/indicators-3-purple)
+![license](https://img.shields.io/badge/license-cc-by-4.0-lightgrey)
+
+## TL;DR
+
+This dataset packages one official `CSV` resource from **Mali** 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:** [Global - Subnational Population Statistics](https://data.humdata.org/dataset/cod-ps-global)
+- **Publisher:** HDX
+- **Resource:** [cod_population_admin0.csv](https://data.humdata.org/dataset/27e3d1c6-c57a-4159-85a4-adb6b7aca6b9/resource/d4ea8fba-3d98-4d6e-85c8-84a5b0b4ebd9/download/cod_population_admin0.csv)
+- **Format:** `CSV`
+- **License:** [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)
+- **Packaging mode:** `indicator_long`
+
+## Geographic coverage
+
+1 Africa country:
+
+| Country | Rows | First year | Last year | Name |
+|---------|-----:|-----------:|----------:|------|
+| `MLI` | 18,981 | 2001 | 2025 | `Mali` |
+
+## Indicators or Resource Contents
+
+- `global-subnational-population-statistics-age-min-67749537` - Global - Subnational Population Statistics - age min
+- `global-subnational-population-statistics-age-max-0d012c53` - Global - Subnational Population Statistics - age max
+- `global-subnational-population-statistics-population-af4e0fd7` - Global - Subnational Population Statistics - population
+
+## Schema
+
+| Column | Type | Description | Example |
+|--------|------|-------------|---------|
+| `indicator_id` | `string` | Stable indicator identifier. | `global-subnational-population-statistics-age-min-67749537` |
+| `indicator_name` | `string` | Human-readable indicator name. | `Global - Subnational Population Statistics - age min` |
+| `country_iso3` | `string` | ISO3 country code. | `MLI` |
+| `country_name` | `string` | Country name. | `Mali` |
+| `year` | `Int64` | Observation year. | `2021` |
+| `value` | `float64` | Numeric observation value. | `0.0` |
+| `unit` | `string` | Measurement unit, when available. | `source_units_unspecified` |
+| `dimension_iso3` | `string` | Source dimension. | `AFG` |
+| `dimension_country` | `string` | Source dimension. | `Afghanistan` |
+| `dimension_population_group` | `string` | Source dimension. | `F_00_04` |
+| `dimension_gender` | `string` | Source dimension. | `f` |
+| `dimension_age_range` | `string` | Source dimension. | `0-4` |
+| `dimension_source` | `string` | Source dimension. | `National Statistic and Information Authority (NSIA) Afghanistan` |
+| `dimension_contributor` | `string` | Source dimension. | `OCHA Afghanistan` |
+| `source_period_start_year` | `Int64` | First year inferred from source resource metadata. | `` |
+| `source_period_end_year` | `Int64` | Last year inferred from source resource metadata. | `` |
+| `source_period_label` | `string` | Human-readable period inferred from source resource metadata. | `` |
+| `source_provider` | `category` | Publishing organization. | `HDX` |
+| `source_dataset` | `category` | Source package title. | `Global - Subnational Population Statistics` |
+| `source_resource` | `category` | Source resource title. | `cod_population_admin0.csv` |
+| `source_package_id` | `category` | CKAN package UUID. | `27e3d1c6-c57a-4159-85a4-adb6b7aca6b9` |
+| `source_resource_id` | `category` | CKAN resource UUID. | `d4ea8fba-3d98-4d6e-85c8-84a5b0b4ebd9` |
+| `source_url` | `category` | Original source resource URL. | `https://data.humdata.org/dataset/27e3d1c6-c57a-4159-85a4-adb6b7aca6b9/re` |
+| `license_id` | `category` | Source license identifier. | `cc-by` |
+| `retrieved_at` | `category` | UTC retrieval timestamp. | `2026-08-12T23:12:09Z` |
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("electricsheepafrica/africa-mali-global-subnational-population-statistics-b42041cc")
+df = ds["train"].to_pandas()
+print(df.head())
+```
+
+### Filter to one country
+
+```python
+sample_country = df[df["country_iso3"] == "MLI"]
+```
+
+### 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_mali_global_subnational_population_statistics_b42041cc_2025,
+  title        = {Global - Subnational Population Statistics | Africa (Mali official open data)},
+  author       = {HDX},
+  year         = {2025},
+  url          = {https://data.humdata.org/dataset/cod-ps-global},
+  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
+  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mali-global-subnational-population-statistics-b42041cc}}
+}
+```
+
+## License
+
+Released under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/).
+
+Original data (c) HDX. 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 2026-08-13 via the Electric Sheep pipeline. Source URL:
+https://data.humdata.org/dataset/27e3d1c6-c57a-4159-85a4-adb6b7aca6b9/resource/d4ea8fba-3d98-4d6e-85c8-84a5b0b4ebd9/download/cod_population_admin0.csv

data/train-00000-of-00001.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:81a148107b1e0320fffb92099eb6cd9f837044db9657df0b13283305f7c6a56b
+size 71869

metadata/source_snapshot.json

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+{
+  "columns": [
+    "indicator_id",
+    "indicator_name",
+    "country_iso3",
+    "country_name",
+    "year",
+    "value",
+    "unit",
+    "dimension_iso3",
+    "dimension_country",
+    "dimension_population_group",
+    "dimension_gender",
+    "dimension_age_range",
+    "dimension_source",
+    "dimension_contributor",
+    "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": "2026-08-12T23:59:13Z",
+  "indicator_count": 3,
+  "mode": "indicator_long",
+  "repo_id": "electricsheepafrica/africa-mali-global-subnational-population-statistics-b42041cc",
+  "rows": 18981,
+  "source": {
+    "api_base_url": "https://data.humdata.org/api/3/action",
+    "country_iso3": "MLI",
+    "country_name": "Mali",
+    "group_names": "afg,alb,ago,aia,atg,arg,arm,abw,aze,bhs,bgd,brb,blz,ben,bmu,btn,bol,bwa,bra,vgb,bfa,bdi,cpv,khm,cmr,cym,caf,tcd,chl,col,com,cri,civ,cub,cuw,prk,cod,dom,ecu,egy,slv,eri,swz,eth,fji,guf,gab,gmb,geo,gha,grd,glp,gtm,gin,guy,hti,hnd,hun,idn,irn,irq,jam,kaz,ken,kir,kgz,lao,lso,lbr,mdg,mwi,mys,mdv,mli,mhl,mtq,mrt,mus,mex,fsm,mng,msr,mar,moz,mmr,nam,npl,nic,ner,nga,niu,pak,plw,pan,png,pry,per,phl,pol,qat,mda,rou,rwa,blm,kna,lca,maf,vct,stp,sau,sen,syc,sle,sxm,svk,slb,som,zaf,ssd,lka,pse,sdn,sur,tjk,tha,tls,tgo,tkl,ton,tto,tun,tca,tur,uga,tza,vir,ury,uzb,vut,ven,vnm,zmb,zwe",
+    "license_id": "cc-by",
+    "license_title": "Creative Commons Attribution International (CC BY)",
+    "license_url": "http://www.opendefinition.org/licenses/cc-by",
+    "organization_name": "hdx",
+    "organization_title": "HDX",
+    "package_id": "27e3d1c6-c57a-4159-85a4-adb6b7aca6b9",
+    "package_name": "cod-ps-global",
+    "package_notes": "Latest COD population statistics compiled at the admin level. The CSV files contain subnational p-codes, their corresponding administrative names, source organization, and reference dates where available. These are constructed from individual country level population files, which can be found using [this search](https://data.humdata.org/dataset/?dataseries_name=COD+-+Subnational+Population+Statistics) on HDX.",
+    "package_page_url": "https://data.humdata.org/dataset/cod-ps-global",
+    "package_title": "Global - Subnational Population Statistics",
+    "portal_url": "https://data.humdata.org",
+    "resource_description": "",
+    "resource_format": "CSV",
+    "resource_id": "d4ea8fba-3d98-4d6e-85c8-84a5b0b4ebd9",
+    "resource_last_modified": "2026-02-19T20:10:52.537341",
+    "resource_name": "cod_population_admin0.csv",
+    "resource_position": "0",
+    "resource_url": "https://data.humdata.org/dataset/27e3d1c6-c57a-4159-85a4-adb6b7aca6b9/resource/d4ea8fba-3d98-4d6e-85c8-84a5b0b4ebd9/download/cod_population_admin0.csv",
+    "tag_names": "baseline population,gender and age disaggregated data-gadd"
+  },
+  "year_max": 2025,
+  "year_min": 2001
+}