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:
+- 1M<n<10M
+tags:
+- tabular
+- csv
+- africa
+- congo
+- official-statistics
+- open-data
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-00000-of-00001.parquet
+pretty_name: "Movement Distribution | Africa (Congo official open data)"
+---
+
+# Movement Distribution | Africa (Congo official open data)
+
+1,312,486 rows - 1 Africa country - 2026 - Repackaged by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)
+
+![rows](https://img.shields.io/badge/rows-1312486-blue)
+![countries](https://img.shields.io/badge/countries-1-green)
+![years](https://img.shields.io/badge/years-2026-orange)
+![indicators](https://img.shields.io/badge/indicators-2-purple)
+![license](https://img.shields.io/badge/license-cc-by-4.0-lightgrey)
+
+## TL;DR
+
+This dataset packages one official `CSV` resource from **Congo** 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:** [Movement Distribution](https://data.humdata.org/dataset/movement-distribution)
+- **Publisher:** AI for Good at Meta
+- **Resource:** [Movement Distribution 2026_June_19-2026_June_23.csv](https://data.humdata.org/dataset/32167ba5-ef67-4254-8eaf-04cdb8b90c1d/resource/c89a5d03-dfcb-4524-96f6-6843c9d4f140/download/1922039342088483_combined_part2.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 |
+|---------|-----:|-----------:|----------:|------|
+| `COG` | 1,312,486 | 2026 | 2026 | `Congo` |
+
+## Indicators or Resource Contents
+
+- `movement-distribution-polygon-level-b272dfd5` - Movement Distribution - polygon level
+- `movement-distribution-distance-category-ping-fraction-6f5ac9d1` - Movement Distribution - distance category ping fraction
+
+## Schema
+
+| Column | Type | Description | Example |
+|--------|------|-------------|---------|
+| `indicator_id` | `string` | Stable indicator identifier. | `movement-distribution-polygon-level-b272dfd5` |
+| `indicator_name` | `string` | Human-readable indicator name. | `Movement Distribution - polygon level` |
+| `country_iso3` | `string` | ISO3 country code. | `COG` |
+| `country_name` | `string` | Country name. | `Congo` |
+| `year` | `Int64` | Observation year. | `2026` |
+| `value` | `float64` | Numeric observation value. | `2.0` |
+| `unit` | `string` | Measurement unit, when available. | `source_units_unspecified` |
+| `dimension_gadm_id` | `string` | Source dimension. | `FRA.8.8_1` |
+| `dimension_gadm_name` | `string` | Source dimension. | `Yvelines` |
+| `dimension_country` | `string` | Source dimension. | `FRA` |
+| `dimension_home_to_ping_distance_category` | `string` | Source dimension. | `(0, 10)` |
+| `source_period_start_year` | `Int64` | First year inferred from source resource metadata. | `2019` |
+| `source_period_end_year` | `Int64` | Last year inferred from source resource metadata. | `2026` |
+| `source_period_label` | `category` | Human-readable period inferred from source resource metadata. | `2019-2026` |
+| `source_provider` | `category` | Publishing organization. | `AI for Good at Meta` |
+| `source_dataset` | `category` | Source package title. | `Movement Distribution` |
+| `source_resource` | `category` | Source resource title. | `Movement Distribution 2026_June_19-2026_June_23.csv` |
+| `source_package_id` | `category` | CKAN package UUID. | `32167ba5-ef67-4254-8eaf-04cdb8b90c1d` |
+| `source_resource_id` | `category` | CKAN resource UUID. | `c89a5d03-dfcb-4524-96f6-6843c9d4f140` |
+| `source_url` | `category` | Original source resource URL. | `https://data.humdata.org/dataset/32167ba5-ef67-4254-8eaf-04cdb8b90c1d/re` |
+| `license_id` | `category` | Source license identifier. | `cc-by` |
+| `retrieved_at` | `category` | UTC retrieval timestamp. | `2026-08-16T12:36:20Z` |
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("electricsheepafrica/africa-congo-movement-distribution-89b4af37")
+df = ds["train"].to_pandas()
+print(df.head())
+```
+
+### Filter to one country
+
+```python
+sample_country = df[df["country_iso3"] == "COG"]
+```
+
+### 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_congo_movement_distribution_89b4af37_2026,
+  title        = {Movement Distribution | Africa (Congo official open data)},
+  author       = {AI for Good at Meta},
+  year         = {2026},
+  url          = {https://data.humdata.org/dataset/movement-distribution},
+  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
+  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-congo-movement-distribution-89b4af37}}
+}
+```
+
+## 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/32167ba5-ef67-4254-8eaf-04cdb8b90c1d/resource/c89a5d03-dfcb-4524-96f6-6843c9d4f140/download/1922039342088483_combined_part2.csv

data/train-00000-of-00001.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:39e117ba717073da6175e31d6fb8a2e33cca4f5e0d5be8ccbe0465f451147f94
+size 8022568

metadata/source_snapshot.json

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+{
+  "columns": [
+    "indicator_id",
+    "indicator_name",
+    "country_iso3",
+    "country_name",
+    "year",
+    "value",
+    "unit",
+    "dimension_gadm_id",
+    "dimension_gadm_name",
+    "dimension_country",
+    "dimension_home_to_ping_distance_category",
+    "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": "2026-08-16T12:45:55Z",
+  "indicator_count": 2,
+  "mode": "indicator_long",
+  "repo_id": "electricsheepafrica/africa-congo-movement-distribution-89b4af37",
+  "rows": 1312486,
+  "source": {
+    "api_base_url": "https://data.humdata.org/api/3/action",
+    "country_iso3": "COG",
+    "country_name": "Congo",
+    "group_names": "alb,dza,asm,and,ago,aia,atg,arg,arm,abw,aus,aut,ala,bhs,bhr,bgd,brb,blr,bel,blz,ben,bmu,btn,bol,bes,bih,bwa,bra,iot,vgb,brn,bgr,bfa,bdi,cpv,khm,cmr,can,cym,caf,tcd,chl,hkg,mac,cxr,cck,col,com,cog,cok,cri,civ,hrv,cuw,cyp,cze,dnk,dji,dom,ecu,egy,slv,gnq,eri,est,swz,eth,flk,fro,fji,fin,fra,guf,pyf,gab,gmb,geo,deu,gha,gib,grc,grl,grd,glp,gum,gtm,ggy,gin,guy,hti,vat,hnd,hun,isl,ind,idn,irl,imn,isr,jpn,kaz,kwt,kgz,lao,lva,lbn,lso,lbr,lby,lie,ltu,lux,mdg,mwi,mys,mdv,mli,mlt,mhl,mtq,mrt,mus,myt,mex,fsm,mco,mng,mne,msr,mar,moz,nam,nru,npl,nld,ncl,nzl,nic,ner,nga,niu,nfk,mkd,nor,omn,pak,plw,pan,png,pry,per,phl,pol,prt,pri,qat,kor,mda,reu,rou,rwa,blm,shn,kna,lca,maf,wsm,smr,stp,sau,sen,srb,syc,sle,sgp,sxm,svk,svn,slb,zaf,sgs,ssd,esp,lka,sur,sjm,swe,che,twn,tjk,tha,tls,tgo,tkl,ton,tto,tun,tca,tuv,tur,uga,are,gbr,tza,usa,vir,ury,uzb,vut,vnm,wlf,world,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": "meta",
+    "organization_title": "AI for Good at Meta",
+    "package_id": "32167ba5-ef67-4254-8eaf-04cdb8b90c1d",
+    "package_name": "movement-distribution",
+    "package_notes": "The Movement Distribution dataset shows the range of movement of people away from the area where they live on a daily basis. These maps are useful for projects focused on transportation, tourism, displacement, and other areas. Effective March 2026, the Movement Distribution Maps Dataset is being updated. Polygon changes mean some previously available areas may no longer be included. Additionally, a 1-2 week maintenance period mid-March 2026 may result in missing polygons or other data issues. The dataset will also now update biweekly, retaining up to 90 days of data. More info available here: https://ai.meta.com/ai-for-good/datasets/movement-distribution-maps/",
+    "package_page_url": "https://data.humdata.org/dataset/movement-distribution",
+    "package_title": "Movement Distribution",
+    "portal_url": "https://data.humdata.org",
+    "resource_description": "June 19-23, 2026",
+    "resource_format": "CSV",
+    "resource_id": "c89a5d03-dfcb-4524-96f6-6843c9d4f140",
+    "resource_last_modified": "2026-07-23T16:02:29.039687",
+    "resource_name": "Movement Distribution 2026_June_19-2026_June_23.csv",
+    "resource_position": "6",
+    "resource_url": "https://data.humdata.org/dataset/32167ba5-ef67-4254-8eaf-04cdb8b90c1d/resource/c89a5d03-dfcb-4524-96f6-6843c9d4f140/download/1922039342088483_combined_part2.csv",
+    "tag_names": "displacement"
+  },
+  "year_max": 2026,
+  "year_min": 2026
+}