Add README.md
Browse files
README.md
CHANGED
|
@@ -1,54 +1,163 @@
|
|
| 1 |
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2 |
dataset_info:
|
| 3 |
-
features:
|
| 4 |
-
- name: country
|
| 5 |
-
dtype: string
|
| 6 |
-
- name: market
|
| 7 |
-
dtype: string
|
| 8 |
-
- name: admin_1
|
| 9 |
-
dtype: string
|
| 10 |
-
- name: longitude
|
| 11 |
-
dtype: float64
|
| 12 |
-
- name: latitude
|
| 13 |
-
dtype: float64
|
| 14 |
-
- name: cpcv2
|
| 15 |
-
dtype: string
|
| 16 |
-
- name: product
|
| 17 |
-
dtype: string
|
| 18 |
-
- name: source_document
|
| 19 |
-
dtype: string
|
| 20 |
-
- name: period_date
|
| 21 |
-
dtype: timestamp[ns]
|
| 22 |
-
- name: price_type
|
| 23 |
-
dtype: string
|
| 24 |
-
- name: product_source
|
| 25 |
-
dtype: string
|
| 26 |
-
- name: unit
|
| 27 |
-
dtype: string
|
| 28 |
-
- name: unit_type
|
| 29 |
-
dtype: string
|
| 30 |
-
- name: currency
|
| 31 |
-
dtype: string
|
| 32 |
-
- name: value
|
| 33 |
-
dtype: float64
|
| 34 |
-
- name: esa_source
|
| 35 |
-
dtype: string
|
| 36 |
-
- name: esa_processed
|
| 37 |
-
dtype: string
|
| 38 |
splits:
|
| 39 |
-
|
| 40 |
-
|
| 41 |
-
|
| 42 |
-
|
| 43 |
-
num_bytes: 5070841
|
| 44 |
-
num_examples: 21233
|
| 45 |
-
download_size: 1653319
|
| 46 |
-
dataset_size: 25351331
|
| 47 |
-
configs:
|
| 48 |
-
- config_name: default
|
| 49 |
-
data_files:
|
| 50 |
-
- split: train
|
| 51 |
-
path: data/train-*
|
| 52 |
-
- split: test
|
| 53 |
-
path: data/test-*
|
| 54 |
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
---
|
| 2 |
+
annotations_creators:
|
| 3 |
+
- no-annotation
|
| 4 |
+
language_creators:
|
| 5 |
+
- found
|
| 6 |
+
language:
|
| 7 |
+
- en
|
| 8 |
+
license: cc-by-4.0
|
| 9 |
+
multilinguality:
|
| 10 |
+
- monolingual
|
| 11 |
+
size_categories:
|
| 12 |
+
- 100K<n<1M
|
| 13 |
+
source_datasets:
|
| 14 |
+
- original
|
| 15 |
+
task_categories:
|
| 16 |
+
- tabular-regression
|
| 17 |
+
- other
|
| 18 |
+
task_ids: []
|
| 19 |
+
tags:
|
| 20 |
+
- africa
|
| 21 |
+
- humanitarian
|
| 22 |
+
- hdx
|
| 23 |
+
- electric-sheep-africa
|
| 24 |
+
- eastern-africa
|
| 25 |
+
- economics
|
| 26 |
+
- food-security
|
| 27 |
+
- indicators
|
| 28 |
+
- markets
|
| 29 |
+
- eth
|
| 30 |
+
pretty_name: "Ethiopia Weekly FEWS NET Staple Food Price Data"
|
| 31 |
dataset_info:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 32 |
splits:
|
| 33 |
+
- name: train
|
| 34 |
+
num_examples: 84930
|
| 35 |
+
- name: test
|
| 36 |
+
num_examples: 21232
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 37 |
---
|
| 38 |
+
|
| 39 |
+
# Ethiopia Weekly FEWS NET Staple Food Price Data
|
| 40 |
+
|
| 41 |
+
**Publisher:** FEWS NET · **Source:** [HDX](https://data.humdata.org/dataset/fewsnet_staple_food_price_data_for_ethiopia_weekly_6041) · **License:** `cc-by` · **Updated:** 2026-03-28
|
| 42 |
+
|
| 43 |
+
---
|
| 44 |
+
|
| 45 |
+
## Abstract
|
| 46 |
+
|
| 47 |
+
Ethiopia Weekly staple food price data collected by FEWS NET since 2019.
|
| 48 |
+
|
| 49 |
+
Each row in this dataset represents country-level aggregates. Temporal coverage is indicated by the `period_date` column(s). Geographic scope: **ETH**.
|
| 50 |
+
|
| 51 |
+
*Curated into ML-ready Parquet format by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica).*
|
| 52 |
+
|
| 53 |
+
---
|
| 54 |
+
|
| 55 |
+
## Dataset Characteristics
|
| 56 |
+
|
| 57 |
+
| | |
|
| 58 |
+
|---|---|
|
| 59 |
+
| **Domain** | Food security and nutrition |
|
| 60 |
+
| **Unit of observation** | Country-level aggregates |
|
| 61 |
+
| **Rows (total)** | 106,163 |
|
| 62 |
+
| **Columns** | 17 (3 numeric, 13 categorical, 1 datetime) |
|
| 63 |
+
| **Train split** | 84,930 rows |
|
| 64 |
+
| **Test split** | 21,232 rows |
|
| 65 |
+
| **Geographic scope** | ETH |
|
| 66 |
+
| **Publisher** | FEWS NET |
|
| 67 |
+
| **HDX last updated** | 2026-03-28 |
|
| 68 |
+
|
| 69 |
+
---
|
| 70 |
+
|
| 71 |
+
## Variables
|
| 72 |
+
|
| 73 |
+
**Geographic** — `country` (Ethiopia), `admin_1` (Oromia, Somali, South Ethiopia), `longitude` (range 34.3515–45.3418), `latitude` (range 4.8934–14.0605), `price_type` (Retail, Wage) and 2 others.
|
| 74 |
+
|
| 75 |
+
**Temporal** — `period_date`.
|
| 76 |
+
|
| 77 |
+
**Outcome / Measurement** — `value` (range 1.0–324202.8).
|
| 78 |
+
|
| 79 |
+
**Identifier / Metadata** — `source_document` (Famine Early Warning Systems Network (FEWS NET), Ethiopia, Price (weekly)), `product_source` (Local, Import), `esa_source`, `esa_processed`.
|
| 80 |
+
|
| 81 |
+
**Other** — `market` (Addis Ababa, Merkato, Nazareth, Adama, Bahir Dar), `cpcv2` (P23520AA, R01701BD, R01122AC), `product` (Refined sugar, Beans (Haricot), Maize Grain (White)), `unit` (kg, ea, L).
|
| 82 |
+
|
| 83 |
+
---
|
| 84 |
+
|
| 85 |
+
## Quick Start
|
| 86 |
+
|
| 87 |
+
```python
|
| 88 |
+
from datasets import load_dataset
|
| 89 |
+
|
| 90 |
+
ds = load_dataset("electricsheepafrica/africa-fewsnet-staple-food-price-data-for-ethiopia-weekly-6041")
|
| 91 |
+
train = ds["train"].to_pandas()
|
| 92 |
+
test = ds["test"].to_pandas()
|
| 93 |
+
|
| 94 |
+
print(train.shape)
|
| 95 |
+
train.head()
|
| 96 |
+
```
|
| 97 |
+
|
| 98 |
+
---
|
| 99 |
+
|
| 100 |
+
## Schema
|
| 101 |
+
|
| 102 |
+
| Column | Type | Null % | Range / Sample Values |
|
| 103 |
+
|---|---|---|---|
|
| 104 |
+
| `country` | object | 0.0% | Ethiopia |
|
| 105 |
+
| `market` | object | 0.0% | Addis Ababa, Merkato, Nazareth, Adama, Bahir Dar |
|
| 106 |
+
| `admin_1` | object | 0.0% | Oromia, Somali, South Ethiopia |
|
| 107 |
+
| `longitude` | float64 | 0.0% | 34.3515 – 45.3418 (mean 39.5143) |
|
| 108 |
+
| `latitude` | float64 | 0.0% | 4.8934 – 14.0605 (mean 8.7939) |
|
| 109 |
+
| `cpcv2` | object | 0.0% | P23520AA, R01701BD, R01122AC |
|
| 110 |
+
| `product` | object | 0.0% | Refined sugar, Beans (Haricot), Maize Grain (White) |
|
| 111 |
+
| `source_document` | object | 0.0% | Famine Early Warning Systems Network (FEWS NET), Ethiopia, Price (weekly) |
|
| 112 |
+
| `period_date` | datetime64[ns] | 0.0% | |
|
| 113 |
+
| `price_type` | object | 0.0% | Retail, Wage |
|
| 114 |
+
| `product_source` | object | 0.0% | Local, Import |
|
| 115 |
+
| `unit` | object | 0.0% | kg, ea, L |
|
| 116 |
+
| `unit_type` | object | 0.0% | Weight, Item, Volume |
|
| 117 |
+
| `currency` | object | 0.0% | |
|
| 118 |
+
| `value` | float64 | 24.5% | 1.0 – 324202.8 (mean 2096.4237) |
|
| 119 |
+
| `esa_source` | object | 0.0% | |
|
| 120 |
+
| `esa_processed` | object | 0.0% | |
|
| 121 |
+
|
| 122 |
+
---
|
| 123 |
+
|
| 124 |
+
## Numeric Summary
|
| 125 |
+
|
| 126 |
+
| Column | Min | Max | Mean | Median |
|
| 127 |
+
|---|---|---|---|---|
|
| 128 |
+
| `longitude` | 34.3515 | 45.3418 | 39.5143 | 39.0367 |
|
| 129 |
+
| `latitude` | 4.8934 | 14.0605 | 8.7939 | 8.541 |
|
| 130 |
+
| `value` | 1.0 | 324202.8 | 2096.4237 | 65.8 |
|
| 131 |
+
|
| 132 |
+
---
|
| 133 |
+
|
| 134 |
+
## Curation
|
| 135 |
+
|
| 136 |
+
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`. 1 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.
|
| 137 |
+
|
| 138 |
+
---
|
| 139 |
+
|
| 140 |
+
## Limitations
|
| 141 |
+
|
| 142 |
+
- Data originates from FEWS NET and has not been independently validated by ESA.
|
| 143 |
+
- Automated cleaning cannot correct for misreported values, definitional inconsistencies, or sampling bias in the original collection.
|
| 144 |
+
- The following columns have >20% missing values and should be treated with caution in modelling: `value`.
|
| 145 |
+
- Refer to the [original HDX dataset page](https://data.humdata.org/dataset/fewsnet_staple_food_price_data_for_ethiopia_weekly_6041) for the publisher's own methodology notes and caveats.
|
| 146 |
+
|
| 147 |
+
---
|
| 148 |
+
|
| 149 |
+
## Citation
|
| 150 |
+
|
| 151 |
+
```bibtex
|
| 152 |
+
@dataset{hdx_africa_fewsnet_staple_food_price_data_for_ethiopia_weekly_6041,
|
| 153 |
+
title = {Ethiopia Weekly FEWS NET Staple Food Price Data},
|
| 154 |
+
author = {FEWS NET},
|
| 155 |
+
year = {2026},
|
| 156 |
+
url = {https://data.humdata.org/dataset/fewsnet_staple_food_price_data_for_ethiopia_weekly_6041},
|
| 157 |
+
note = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
|
| 158 |
+
}
|
| 159 |
+
```
|
| 160 |
+
|
| 161 |
+
---
|
| 162 |
+
|
| 163 |
+
*[Electric Sheep Africa](https://huggingface.co/electricsheepafrica) — Africa's ML dataset infrastructure. Lagos, Nigeria.*
|