Standardize Electric Sheep Africa dataset card

README.md

@@ -5,85 +5,109 @@ language:
 task_categories:
 - tabular-classification
 - tabular-regression
-multilinguality: monolingual
+multilinguality: multilingual
 size_categories:
 - n<1K
 tags:
-- tabular
-- csv
-- africa
-- cote-d-ivoire
-- official-statistics
-- open-data
+- "tabular"
+- "africa"
+- "open-data"
+- "official-statistics"
+- "cote-d-ivoire"
+- "mc-reea-2024-minader-ministere-de-l-agriculture-du-developpement-rural-et-des-pr"
+- "cote-d-ivoire-datafair"
+- "agriculture"
+- "region"
+- "pratique-cultures-pct"
+- "pratique-elevage-pct"
+- "pratique-aquaculture-pct"
+- "pratique-peche-pct"
+- "pratique-sylviculture-pct"
+- "identifiant"
 configs:
 - config_name: default
   data_files:
   - split: train
     path: data/train-00000-of-00001.parquet
-pretty_name: "Proportion des ménages agricoles par région et type d'activité pratiquée (en %) | Africa (Côte d'Ivoire official open data)"
+pretty_name: "Proportion Des Menages Agricoles Par Region Et Type D Acti | Africa (Cote d'Ivoire DataFair)"
 ---
 
-# Proportion des ménages agricoles par région et type d'activité pratiquée (en %) | Africa (Côte d'Ivoire official open data)
+# Proportion Des Menages Agricoles Par Region Et Type D Acti | Africa (Cote d'Ivoire DataFair)
 
-33 rows - 1 Africa country - not-applicable - Repackaged by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)
+**33 rows** - **1 Africa country/area** - **detected** - **source table** - *Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)*
 
 ![rows](https://img.shields.io/badge/rows-33-blue)
 ![countries](https://img.shields.io/badge/countries-1-green)
-![years](https://img.shields.io/badge/years-not-applicable-orange)
+![period](https://img.shields.io/badge/period-detected-orange)
 ![indicators](https://img.shields.io/badge/indicators-0-purple)
 ![license](https://img.shields.io/badge/license-other-lightgrey)
 
 ## TL;DR
 
-This dataset packages one official `CSV` resource from **Côte d'Ivoire** 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.
+This dataset contains **33 rows** from **Cote d'Ivoire DataFair**, covering **Proportion Des Menages Agricoles Par Region Et Type D Acti**. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.
 
-## About the source
+## What This Dataset Measures
 
-- **Source:** [Proportion des ménages agricoles par région et type d'activité pratiquée (en %)](https://data.gouv.ci/datasets/proportion-des-menages-agricoles-par-region-et-type-dactivite-pratiquee-en-percent)
-- **Publisher:** MC-REEA, 2024 — MINADER (Ministère de l'Agriculture, du Développement Rural et des Productions Vivrières)
-- **Resource:** [Proportion des ménages agricoles par région et type d'activité pratiquée (en %) CSV export](https://data.gouv.ci/data-fair/api/v1/datasets/proportion-des-menages-agricoles-par-region-et-type-dactivite-pratiquee-en-percent/full)
-- **Format:** `CSV`
-- **License:** [Other open license]()
-- **Packaging mode:** `tabular_resource`
+Agriculture datasets help analysts examine production, prices, inputs, land use, food systems, and rural economic activity.
+
+Source-provided context: Normalized CSV export exposed by the Data Fair API.
+
+## How To Read This Dataset
+
+- **One row means:** one source record from the original tabular resource, with Electric Sheep Africa provenance columns added where available.
+- **Primary geography column:** `country_iso3`.
+- **Best time column:** `source_period_start_year`.
+- **Time coverage basis:** source_period_start_year.
+- **Recommended join keys:** `country_iso3` where available plus source-specific keys.
+
+## Coverage
+
+| Dimension | Value |
+|---|---:|
+| Rows | 33 |
+| Countries/areas | 1 |
+| First period | detected |
+| Last period | detected |
+| Indicators | 0 |
+| Columns | 20 |
+| Source format | CSV |
 
-## Geographic coverage
+## Geographic Coverage
 
-1 Africa country:
+Top areas shown below, sorted by row count when available:
 
-| Country | Rows | First year | Last year | Name |
-|---------|-----:|-----------:|----------:|------|
-| `CIV` | 33 | n/a | n/a | `Côte d'Ivoire` |
+| Area | Rows | First year | Last year | Name |
+|------|-----:|-----------:|----------:|------|
+| `CIV` | 33 | detected | detected | `Côte d'Ivoire` |
 
-## Indicators or Resource Contents
+## Indicators, Variables, Or Resource Contents
 
-- This source file is packaged as a normalized tabular resource.
+- This repo preserves one source tabular resource with its usable columns kept together.
 
 ## Schema
 
 | Column | Type | Description | Example |
 |--------|------|-------------|---------|
-| `source_record_id` | `string` | Stable row identifier for tabular resources. | `eh5340egnl734o0sy92tftkn:full:0` |
-| `country_iso3` | `category` | ISO3 country code. | `CIV` |
-| `country_name` | `category` | Country name. | `Côte d'Ivoire` |
-| `region` | `string` | Source column. | `Agnéby-Tiassa` |
-| `pratique_cultures_pct` | `float64` | Source column. | `93.7` |
-| `pratique_elevage_pct` | `float64` | Source column. | `36.9` |
-| `pratique_aquaculture_pct` | `float64` | Source column. | `0.3` |
-| `pratique_peche_pct` | `float64` | Source column. | `1.0` |
-| `pratique_sylviculture_pct` | `float64` | Source column. | `3.7` |
-| `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. | `MC-REEA, 2024 — MINADER (Ministère de l'Agriculture, du Développement Ru` |
-| `source_dataset` | `category` | Source package title. | `Proportion des ménages agricoles par région et type d'activité pratiquée` |
-| `source_resource` | `category` | Source resource title. | `Proportion des ménages agricoles par région et type d'activité pratiquée` |
-| `source_package_id` | `category` | CKAN package UUID. | `eh5340egnl734o0sy92tftkn` |
-| `source_resource_id` | `category` | CKAN resource UUID. | `eh5340egnl734o0sy92tftkn:full` |
-| `source_url` | `category` | Original source resource URL. | `https://data.gouv.ci/data-fair/api/v1/datasets/proportion-des-menages-ag` |
-| `license_id` | `category` | Source license identifier. | `other-open` |
-| `retrieved_at` | `category` | UTC retrieval timestamp. | `2026-07-27T10:23:33Z` |
+| `source_record_id` | `string` | Stable row identifier assigned during Electric Sheep Africa engineering. | `eh5340egnl734o0sy92tftkn:full:0` |
+| `country_iso3` | `dictionary<values=string, indices=int8, ordered=0>` | ISO3 country or area code. | `CIV` |
+| `country_name` | `dictionary<values=string, indices=int8, ordered=0>` | Country or area name. | `Côte d'Ivoire` |
+| `region` | `string` | Source column from the original resource. | `Agnéby-Tiassa` |
+| `pratique_cultures_pct` | `double` | Source column from the original resource. | `93.7` |
+| `pratique_elevage_pct` | `double` | Source column from the original resource. | `36.9` |
+| `pratique_aquaculture_pct` | `double` | Source column from the original resource. | `0.3` |
+| `pratique_peche_pct` | `double` | Source column from the original resource. | `1.0` |
+| `pratique_sylviculture_pct` | `double` | Source column from the original resource. | `3.7` |
+| `source_period_start_year` | `int64` | Start year inferred from source metadata. | `` |
+| `source_period_end_year` | `int64` | End year inferred from source metadata. | `` |
+| `source_period_label` | `string` | Source column from the original resource. | `` |
+| `source_provider` | `dictionary<values=string, indices=int8, ordered=0>` | Publishing organization. | `MC-REEA, 2024 — MINADER (Ministère de l'Agriculture, du Développement...` |
+| `source_dataset` | `dictionary<values=string, indices=int8, ordered=0>` | Source dataset or package title. | `Proportion des ménages agricoles par région et type d'activité pratiq...` |
+| `source_resource` | `dictionary<values=string, indices=int8, ordered=0>` | Source resource title, table name, or file name. | `Proportion des ménages agricoles par région et type d'activité pratiq...` |
+| `source_package_id` | `dictionary<values=string, indices=int8, ordered=0>` | Source package identifier. | `eh5340egnl734o0sy92tftkn` |
+| `source_resource_id` | `dictionary<values=string, indices=int8, ordered=0>` | Source resource identifier. | `eh5340egnl734o0sy92tftkn:full` |
+| `source_url` | `dictionary<values=string, indices=int8, ordered=0>` | Original source URL or download URL. | `https://data.gouv.ci/data-fair/api/v1/datasets/proportion-des-menages...` |
+| `license_id` | `dictionary<values=string, indices=int8, ordered=0>` | Source license identifier. | `other-open` |
+| `retrieved_at` | `dictionary<values=string, indices=int8, ordered=0>` | UTC source retrieval timestamp from the Electric Sheep Africa pipeline. | `2026-07-27T10:23:33Z` |
 
 ## Usage
 
@@ -95,51 +119,93 @@ df = ds["train"].to_pandas()
 print(df.head())
 ```
 
-### Filter to one country
+### Inspect Columns
 
 ```python
-sample_country = df[df["country_iso3"] == "CIV"]
+print(df.info())
+print(df.head())
 ```
 
-### Work with indicators
+### Filter By Geography
 
 ```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])
+if "country_iso3" in df.columns:
+    sample = df[df["country_iso3"] == "CIV"]
 ```
 
+### Time-Series Pattern
+
+```python
+if "value" in df.columns and "source_period_start_year" in df.columns:
+    trend = df.sort_values("source_period_start_year")
+```
+
+### Pivot For Analysis
+
+```python
+if {"indicator_id", "year", "value"}.issubset(df.columns):
+    matrix = df.pivot_table(index="year", columns="indicator_id", values="value")
+    print(matrix.tail())
+```
+
+## Data Quality Notes
+
+- Canonical time field: `source_period_start_year`.
+- Missing values are preserved rather than silently imputed.
+- Column names are standardized for machine use; source meanings are preserved where known.
+- Always confirm source methodology, units, and collection definitions before policy, production, or redistribution-sensitive use.
+
+## Source And Provenance
+
+- **Source:** [Cote d'Ivoire DataFair](https://data.gouv.ci/datasets/proportion-des-menages-agricoles-par-region-et-type-dactivite-pratiquee-en-percent)
+- **Publisher:** MC-REEA, 2024 — MINADER (Ministère de l'Agriculture, du Développement Rural et des Productions Vivrières)
+- **Portal:** [https://data.gouv.ci](https://data.gouv.ci)
+- **Resource:** [Proportion des ménages agricoles par région et type d'activité pratiquée (en %) CSV export](https://data.gouv.ci/data-fair/api/v1/datasets/proportion-des-menages-agricoles-par-region-et-type-dactivite-pratiquee-en-percent/full)
+- **License:** other-open
+- **Retrieved/generated:** `2026-07-27T10:23:35Z`
+- **Hugging Face repo:** [electricsheepafrica/africa-cote-d-ivoire-proportion-des-menages-agricoles-par-region-et-type-d-acti-c0063351](https://huggingface.co/datasets/electricsheepafrica/africa-cote-d-ivoire-proportion-des-menages-agricoles-par-region-et-type-d-acti-c0063351)
+
+## Transformations Applied
+
+- Converted the source table to Parquet for efficient analytics and ML workflows.
+- Added or preserved source provenance columns where available.
+- Standardized README metadata, dataset loading configuration, schema documentation, and citation format.
+- Preserved source-reported values without analytical imputation.
+
+## Suggested Analyses
+
+- Track production or price movements
+- Compare regions or commodities
+- Join with climate and trade data
+- Build time-series views and period-over-period comparisons
+- Check missingness before modeling
+- Use `country_iso3` as the safest geography join key when present
+
 ## Citation
 
 ```bibtex
 @misc{electric_sheep_africa_africa_cote_d_ivoire_proportion_des_menages_agricoles_par_region_et_type_d_acti_2026,
-  title        = {Proportion des ménages agricoles par région et type d'activité pratiquée (en %) | Africa (Côte d'Ivoire official open data)},
+  title        = {Proportion Des Menages Agricoles Par Region Et Type D Acti | Africa (Cote d'Ivoire DataFair)},
   author       = {MC-REEA, 2024 — MINADER (Ministère de l'Agriculture, du Développement Rural et des Productions Vivrières)},
   year         = {2026},
   url          = {https://data.gouv.ci/datasets/proportion-des-menages-agricoles-par-region-et-type-dactivite-pratiquee-en-percent},
-  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
+  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
   howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-cote-d-ivoire-proportion-des-menages-agricoles-par-region-et-type-d-acti-c0063351}}
 }
 ```
 
 ## License
 
-Released under [Other open license]().
-
-Original data (c) MC-REEA, 2024 — MINADER (Ministère de l'Agriculture, du Développement Rural et des Productions Vivrières). When using this dataset, please cite both the
-original source above and the Electric Sheep Africa repackaging.
+Released under other-open.
 
-## About Electric Sheep
+Original data is published by MC-REEA, 2024 — MINADER (Ministère de l'Agriculture, du Développement Rural et des Productions Vivrières). Electric Sheep Africa
+engineering standardizes the data for discovery, loading, and analysis on
+Hugging Face. Cite both the original source and this ML-ready dataset when used.
 
-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.
+## About Electric Sheep Africa
 
-Browse the full collection: [huggingface.co/electricsheepafrica](https://huggingface.co/electricsheepafrica)
+Electric Sheep Africa publishes ML-ready African public datasets on Hugging Face.
 
 ---
 
-Provenance: ingested 2026-07-27 via the Electric Sheep pipeline. Source URL:
-https://data.gouv.ci/data-fair/api/v1/datasets/proportion-des-menages-agricoles-par-region-et-type-dactivite-pratiquee-en-percent/full
+Provenance: README standardized 2026-08-11 by the Electric Sheep Africa README system. Source URL: https://data.gouv.ci/datasets/proportion-des-menages-agricoles-par-region-et-type-dactivite-pratiquee-en-percent