README.md

---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
license: cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- tabular-classification
- tabular-regression
task_ids: []
tags:
- africa
- humanitarian
- hdx
- electric-sheep-africa
- cyclones-hurricanes-typhoons
- operational-presence
- shelter
- who-is-doing-what-and-where-3w-4w-5w
- phl
pretty_name: "Philippines - Who does What, Where, and When (4W) typhoon Goni and Vamco"
dataset_info:
  splits:
    - name: train
      num_examples: 4981
    - name: test
      num_examples: 1245
---

# Philippines - Who does What, Where, and When (4W) typhoon Goni and Vamco

**Publisher:** Global Shelter Cluster (inactive) · **Source:** [HDX](https://data.humdata.org/dataset/philippines-who-does-what-where-and-when-4w-for-typhoon-goni-and-vamco-01-december-2020) · **License:** `cc-by` · **Updated:** 2025-03-07

---

## Abstract

Shelter Cluster 4W report (Who does What, Where, and When) for typhoon Goni (Rolly) and Vamco (Ulysses) in the Philippines

Each row in this dataset represents tabular records. Data was last updated on HDX on 2025-03-07. Geographic scope: **PHL**.

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

---

## Dataset Characteristics

| | |
|---|---|
| **Domain** | Humanitarian and development data |
| **Unit of observation** | Tabular records |
| **Rows (total)** | 6,227 |
| **Columns** | 2 (0 numeric, 2 categorical, 0 datetime) |
| **Train split** | 4,981 rows |
| **Test split** | 1,245 rows |
| **Geographic scope** | PHL |
| **Publisher** | Global Shelter Cluster (inactive) |
| **HDX last updated** | 2025-03-07 |

---

## Variables

**Identifier / Metadata** — `esa_source` (HDX), `esa_processed` (2026-05-04).

---

## Quick Start

```python
from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/asia-operational-presence-all")
train = ds["train"].to_pandas()
test  = ds["test"].to_pandas()

print(train.shape)
train.head()
```

---

## Schema

| Column | Type | Null % | Range / Sample Values |
|---|---|---|---|
| `esa_source` | object | 0.0% | HDX |
| `esa_processed` | object | 0.0% | 2026-05-04 |

---

## Numeric Summary

| Column | Min | Max | Mean | Median |
|---|---|---|---|---|
_No numeric columns._

---

## 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`. 38 column(s) with >80% missing values were removed: `unnamed_0`, `unnamed_1`, `unnamed_2`, `unnamed_3`, `unnamed_4`, `unnamed_5`.... 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 Global Shelter Cluster (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.
- Refer to the [original HDX dataset page](https://data.humdata.org/dataset/philippines-who-does-what-where-and-when-4w-for-typhoon-goni-and-vamco-01-december-2020) for the publisher's own methodology notes and caveats.

---

## Citation

```bibtex
@dataset{hdx_asia_operational_presence_all,
  title     = {Philippines - Who does What, Where, and When (4W) typhoon Goni and Vamco},
  author    = {Global Shelter Cluster (inactive)},
  year      = {2025},
  url       = {https://data.humdata.org/dataset/philippines-who-does-what-where-and-when-4w-for-typhoon-goni-and-vamco-01-december-2020},
  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.*