Datasets:

electricsheepafrica
/

hdx-guinea-bissau-acute-food-insecurity-country-data

@@ -1,155 +1,141 @@
 ---
-annotations_creators:
-- no-annotation
-language_creators:
-- found
 language:
 - en
-license: other
-multilinguality:
-- monolingual
-size_categories:
-- n<1K
-source_datasets:
-- original
 task_categories:
 - tabular-classification
 - tabular-regression
-task_ids: []
 tags:
-- africa
-- humanitarian
-- hdx
-- electric-sheep-africa
-- food-security
-- integrated-food-security-phase-classification-ipc
-- gnb
-pretty_name: "Guinea-Bissau: Acute Food Insecurity Country Data"
-dataset_info:
-  splits:
-    - name: train
-      num_examples: 11
-    - name: test
-      num_examples: 2
 ---
-# Guinea-Bissau: Acute Food Insecurity Country Data
-**Publisher:** Integrated Food Security Phase Classification (IPC) · **Source:** [HDX](https://data.humdata.org/dataset/guinea-bissau-acute-food-insecurity-country-data) · **License:** `other-pd-nr` · **Updated:** 2026-02-09
----
-## Abstract
-The IPC Acute Food Insecurity (IPC AFI) classification provides strategically relevant information to decision makers that focuses on short-term objectives to prevent, mitigate or decrease severe food insecurity that threatens lives or livelihoods. This data has been produced by the National IPC Technical Working Groups for IPC population estimates since 2017. All national population figures are based on official country population estimates. IPC estimates are those published in country IPC reports.
-There is also a [global dataset](https://data.humdata.org/dataset/global-acute-food-insecurity-country-data).
-Each row in this dataset represents country-level aggregates. Temporal coverage is indicated by the `date_of_analysis`, `from` column(s). Geographic scope: **GNB**.
-*Curated into ML-ready Parquet format by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica).*
----
-## Dataset Characteristics
-| | |
 |---|---|
-| **Domain** | Food security and nutrition |
-| **Unit of observation** | Country-level aggregates |
-| **Rows (total)** | 14 |
-| **Columns** | 11 (3 numeric, 5 categorical, 3 datetime) |
-| **Train split** | 11 rows |
-| **Test split** | 2 rows |
-| **Geographic scope** | GNB |
-| **Publisher** | Integrated Food Security Phase Classification (IPC) |
-| **HDX last updated** | 2026-02-09 |
----
-## Variables
-**Geographic** — `date_of_analysis`, `country` (GNB), `total_country_population` (range 1816450.0–1816450.0), `validity_period` (current, first projection).
-**Demographic** — `percentage` (range 0.0–1.0).
-**Outcome / Measurement** — `phase` (all, 3+, 1), `number` (range 0.0–1816450.0).
-**Identifier / Metadata** — `esa_source` (HDX), `esa_processed` (2026-04-04).
-**Other** — `from`, `to`.
----
-## Quick Start
 ```python
 from datasets import load_dataset
-ds    = load_dataset("electricsheepafrica/hdx-guinea-bissau-acute-food-insecurity-country-data")
-train = ds["train"].to_pandas()
-test  = ds["test"].to_pandas()
-print(train.shape)
-train.head()
 ```
----
-## Schema
-| Column | Type | Null % | Range / Sample Values |
-|---|---|---|---|
-| `date_of_analysis` | datetime64[ns] | 0.0% |  |
-| `country` | object | 0.0% | GNB |
-| `total_country_population` | int64 | 0.0% | 1816450.0 – 1816450.0 (mean 1816450.0) |
-| `validity_period` | object | 0.0% | current, first projection |
-| `from` | datetime64[ns] | 0.0% |  |
-| `to` | datetime64[ns] | 0.0% |  |
-| `phase` | object | 0.0% | all, 3+, 1 |
-| `number` | int64 | 0.0% | 0.0 – 1816450.0 (mean 538109.2857) |
-| `percentage` | float64 | 0.0% | 0.0 – 1.0 (mean 0.2957) |
-| `esa_source` | object | 0.0% | HDX |
-| `esa_processed` | object | 0.0% | 2026-04-04 |
----
-## Numeric Summary
-| Column | Min | Max | Mean | Median |
-|---|---|---|---|---|
-| `total_country_population` | 1816450.0 | 1816450.0 | 1816450.0 | 1816450.0 |
-| `number` | 0.0 | 1816450.0 | 538109.2857 | 146034.0 |
-| `percentage` | 0.0 | 1.0 | 0.2957 | 0.08 |
----
-## Curation
-Raw data was downloaded from HDX via the CKAN API and converted to Parquet. Column names were lowercased and standardised to snake_case. Common missing-value markers (`N/A`, `null`, `none`, `-`, `unknown`, `no data`, `#N/A`) were unified to `NaN`. 3 column(s) were cast from string to numeric or datetime based on parse-success rate (>85% threshold). The dataset was split 80/20 into train and test partitions using a fixed random seed (42) and saved as Snappy-compressed Parquet.
----
-## Limitations
-- Data originates from Integrated Food Security Phase Classification (IPC) and has not been independently validated by ESA.
-- Automated cleaning cannot correct for misreported values, definitional inconsistencies, or sampling bias in the original collection.
-- Refer to the [original HDX dataset page](https://data.humdata.org/dataset/guinea-bissau-acute-food-insecurity-country-data) for the publisher's own methodology notes and caveats.
----
 ## Citation
 ```bibtex
-@dataset{hdx_hdx_guinea_bissau_acute_food_insecurity_country_data,
-  title     = {Guinea-Bissau: Acute Food Insecurity Country Data},
-  author    = {Integrated Food Security Phase Classification (IPC)},
-  year      = {2026},
-  url       = {https://data.humdata.org/dataset/guinea-bissau-acute-food-insecurity-country-data},
-  note      = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
 }
 ```
 ---
-*[Electric Sheep Africa](https://huggingface.co/electricsheepafrica) — Africa's ML dataset infrastructure. Lagos, Nigeria.*

 ---
+license: other
 language:
 - en
 task_categories:
 - tabular-classification
 - tabular-regression
+multilinguality: monolingual
+size_categories:
+- n<1K
 tags:
+- "africa"
+- "electric-sheep-africa"
+- "open-data"
+- "metadata-backed"
+- "humanitarian-development"
+- "parquet"
+- "tabular"
+- "text"
+- "humanitarian"
+- "hdx"
+- "food-security"
+- "integrated-food-security-phase-classification-ipc"
+- "gnb"
+pretty_name: "Guinea-Bissau: Acute Food Insecurity Country Data | Africa (original)"
 ---
+# Guinea-Bissau: Acute Food Insecurity Country Data | Africa (original)
+**Size category:** `n<1K` - **Formats:** `parquet` - **Sector:** humanitarian_development - *Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)*
+![size](https://img.shields.io/badge/size-n%3C1K-blue)
+![sector](https://img.shields.io/badge/sector-humanitarian_development-green)
+![downloads](https://img.shields.io/badge/HF_downloads-20-orange)
+![license](https://img.shields.io/badge/license-other-lightgrey)
+## TL;DR
+This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
+## What This Dataset Covers
+Public datasets help analysts inspect structured evidence, build reproducible workflows, and compare patterns across domains.
+Dataset context from the existing Hugging Face card: Guinea-Bissau: Acute Food Insecurity Country Data Publisher: Integrated Food Security Phase Classification (IPC) · Source: HDX · License: other-pd-nr · Updated: 2026-02-09 Abstract The IPC Acute Food Insecurity (IPC AFI) classification provides strategically relevant information to decision makers that focuses on short-term objectives to prevent, mitigate or decrease severe food insecurity that threatens lives or livelihoods. This data has been produced by the National… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/hdx-guinea-bissau-acute-food-insecurity-country-data.
+## Dataset Profile
+| Field | Value |
 |---|---|
+| Hugging Face repo | [`electricsheepafrica/hdx-guinea-bissau-acute-food-insecurity-country-data`](https://huggingface.co/datasets/electricsheepafrica/hdx-guinea-bissau-acute-food-insecurity-country-data) |
+| Sector | humanitarian_development |
+| Topic tags | humanitarian, hdx, electric-sheep-africa, food-security, integrated-food-security-phase-classification-ipc, gnb |
+| Modalities | `tabular`, `text` |
+| Formats | `parquet` |
+| Size category | `n<1K` |
+| Countries | Guinea-Bissau |
+| ISO3 coverage | `GNB` |
+| Last modified on HF | `2026-04-04 09:46:54+00:00` |
+| Inventory snapshot | `2026-07-16T16:00:34Z` |
+## How To Read This Dataset
+- Start from the repository files and the dataset viewer when available.
+- Treat the README context as a fast orientation layer; confirm variable definitions and units in the data files before modeling.
+- Use explicit country columns when present. When geography is only implied by the title or source metadata, document that assumption in downstream analysis.
+- Preserve missing values until you have a defensible imputation rule.
+## Usage
 ```python
 from datasets import load_dataset
+ds = load_dataset("electricsheepafrica/hdx-guinea-bissau-acute-food-insecurity-country-data")
+print(ds)
+split_name = next(iter(ds))
+table = ds[split_name]
+print(table.features)
+print(table[:3])
 ```
+### Convert To Pandas When Tabular
+```python
+from datasets import Dataset
+first_split = ds[next(iter(ds))]
+if isinstance(first_split, Dataset):
+    df = first_split.to_pandas()
+    print(df.head())
+```
+## Data Quality Notes
+- This card was standardized from the Electric Sheep Africa Hugging Face metadata inventory.
+- Exact schema, row counts, and source files should be inspected in the repository data files.
+- Metadata gaps from the inventory: upstream_publisher.
+- Do not infer policy meaning from labels alone; confirm definitions, units, and methods in the source material.
+## Source And Provenance
+- **Source context:** original
+- **Publisher/source attribution:** original
+- **License:** Source-specific or other license
+- **Hugging Face URL:** [https://huggingface.co/datasets/electricsheepafrica/hdx-guinea-bissau-acute-food-insecurity-country-data](https://huggingface.co/datasets/electricsheepafrica/hdx-guinea-bissau-acute-food-insecurity-country-data)
+- **Inventory retrieved at:** `2026-07-16T16:00:34Z`
+## Suggested Analyses
+- Inspect schema and missingness before modeling.
+- Profile variables by geography, time, and subgroup columns where present.
+- Join with other Electric Sheep Africa datasets using explicit country, year, and indicator fields when available.
+- Build reproducible notebooks that cite both the original source context and the Electric Sheep Africa Hugging Face repo.
 ## Citation
 ```bibtex
+@misc{electric_sheep_africa_hdx_guinea_bissau_acute_food_insecurity_country_data_2026,
+  title        = {Guinea-Bissau: Acute Food Insecurity Country Data | Africa (original)},
+  author       = {original},
+  year         = {2026},
+  url          = {https://huggingface.co/datasets/electricsheepafrica/hdx-guinea-bissau-acute-food-insecurity-country-data},
+  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
+  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/hdx-guinea-bissau-acute-food-insecurity-country-data}}
 }
 ```
+## License
+Released under Source-specific or other license.
+Original source rights remain with the original publisher or data provider. Electric Sheep Africa engineering standardizes discovery metadata, documentation, and usage guidance for analysis on Hugging Face.
+## About Electric Sheep Africa
+Electric Sheep Africa publishes ML-ready African public datasets on Hugging Face.
 ---
+Provenance: metadata-backed README standardized 2026-08-12 by the Electric Sheep Africa README system. Inventory source: `catalog/esa_metadata_inventory/master_metadata.jsonl`.