electricsheepasia/asia-food-security-operations-report

Nepal earthquake operations by Himalayan Disaster Relief Volunteer Group (3W)

Publisher: Himalayan Disaster Relief Volunteer Group (inactive) · Source: HDX · License: cc-by-igo · Updated: 2023-05-02

Abstract

This data shows where we distributed what, and when. Complete with GPS coordinates, names of districts and VDCs, and names of villages (when available).

Each row in this dataset represents subnational administrative unit observations. Temporal coverage is indicated by the date column(s). Geographic scope: NPL, NEPAL-EARTHQUAKE.

Curated into ML-ready Parquet format by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica).

Dataset Characteristics

Variables

Geographic — category (Shelter, Food - Dry Food, Medicine), fsc_kgs_sack_25_pack_1_box_4_5 (Undefined, 25, 4.5), district (Lalitpur, Sindhupalchok, Kathmandu District), village_ward_extra_info (Bhardeudeldanda, Jogitar, Jhalungtar), vdc_latitude (range 27.3071–29.7814) and 3 others.

Temporal — date.

Outcome / Measurement — amount (range 0.5–1920.0), fsc_total_kgs (range 1.0–6250.0).

Identifier / Metadata — esa_source (HDX), esa_processed.

Other — items (Betadine, Piyush, Sanitary napkins), items_grouped (Tarp, Medicine - supplies, Medicine - drug), item_group_filter (range 1.0–83.0), unit (unit, box, sack), mission (MISSION 30/4 nosheet 10, MISSION 30/4 nosheet 14, MISSION 01/5 nosheet 06) and 1 others.

Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/asia-food-security-operations-report")
train = ds["train"].to_pandas()
test  = ds["test"].to_pandas()

print(train.shape)
train.head()

Schema

Numeric Summary

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. 1 column(s) with >80% missing values were removed: origin. 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 Himalayan Disaster Relief Volunteer Group (inactive) and has not been independently validated by ESA.
• —Automated cleaning cannot correct for misreported values, definitional inconsistencies, or sampling bias in the original collection.
• —The following columns have >20% missing values and should be treated with caution in modelling: items, item_group_filter, fsc_total_kgs, village_ward_extra_info.
• —This dataset spans 2 countries; geographic and methodological inconsistencies across national boundaries may affect cross-country comparability.
• —Refer to the original HDX dataset page for the publisher's own methodology notes and caveats.

Citation

@dataset{hdx_asia_food_security_operations_report,
  title     = {Nepal earthquake operations by Himalayan Disaster Relief Volunteer Group (3W)},
  author    = {Himalayan Disaster Relief Volunteer Group (inactive)},
  year      = {2023},
  url       = {https://data.humdata.org/dataset/operations-report},
  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.