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@@ -9,7 +9,7 @@ license: cc-by-4.0
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  multilinguality:
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  - monolingual
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  size_categories:
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- - n<1K
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  source_datasets:
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  - original
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  task_categories:
@@ -21,46 +21,31 @@ tags:
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  - humanitarian
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  - hdx
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  - electric-sheep-africa
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- - hxl
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  - operational-presence
 
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  - who-is-doing-what-and-where-3w-4w-5w
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  - phl
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- pretty_name: 'Philippines: Who is Doing What and Where in Taal Volcano Eruption'
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  dataset_info:
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- features:
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- - name: esa_source
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- dtype: string
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- - name: esa_processed
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- dtype: string
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  splits:
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- - name: train
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- num_bytes: 104601
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- num_examples: 4981
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- - name: test
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- num_bytes: 26166
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- num_examples: 1246
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- download_size: 4131
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- dataset_size: 130767
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- configs:
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- - config_name: default
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- data_files:
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- - split: train
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- path: data/train-*
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- - split: test
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- path: data/test-*
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  ---
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- # Philippines: Who is Doing What and Where in Taal Volcano Eruption
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- **Publisher:** OCHA Philippines · **Source:** [HDX](https://data.humdata.org/dataset/philippines-who-is-doing-what-and-where-in-taal-volcano-eruption) · **License:** `cc-by` · **Updated:** 2023-09-21
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  ---
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  ## Abstract
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- This data is about the completed, ongoing and planned humanitarian activities related to the Taal volcano eruption by the government, civil society organizations, clusters, Red Cross, UN agencies and private individuals to people displaced in the evacuation centres.
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- Each row in this dataset represents first-level administrative unit observations. Temporal coverage is indicated by the `start` column(s). Geographic scope: **PHL**.
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  *Curated into ML-ready Parquet format by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica).*
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@@ -71,24 +56,20 @@ Each row in this dataset represents first-level administrative unit observations
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  | | |
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  |---|---|
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  | **Domain** | Humanitarian and development data |
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- | **Unit of observation** | First-level administrative unit observations |
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- | **Rows (total)** | 592 |
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- | **Columns** | 22 (0 numeric, 21 categorical, 1 datetime) |
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- | **Train split** | 473 rows |
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- | **Test split** | 118 rows |
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  | **Geographic scope** | PHL |
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- | **Publisher** | OCHA Philippines |
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- | **HDX last updated** | 2023-09-21 |
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  ---
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  ## Variables
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- **Geographic** — `orgs_acronym` (PRC, ADRA, RI), `region` (REGION IV-A (CALABARZON), Region IV-A (CALABARZON), NATIONAL CAPITAL REGION (NCR)), `province` (BATANGAS, CAVITE, LAGUNA), `city_municipality` (UNSPECIFIED, BATANGAS CITY (CAPITAL), BAUAN), `barangay` (UNSPECIFIED, Barangay 2, Batangas Sports Complex) and 4 others.
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-
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- **Identifier / Metadata** — `esa_source`, `esa_processed`.
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-
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- **Other** — `organization` (PHILIPPINE RED CROSS, PHILIPPINE DISASTER RESILIENCE FOUNDATION, ADVENTIST DEVELOPMENT AND RELIEF AGENCY (ADRA)), `partner` (PRC, UNSPECIFIED, Adventist Community Services (ACS)), `cluster` (Health, WASH, NFI), `sub_cluster` (UNSPECIFIED, Food Security, Agriculture and Livelihood, PSS), `evacuation_site` (UNSPECIFIED, Cabuyao, Concepcion Elementary School) and 6 others.
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  ---
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@@ -111,28 +92,8 @@ train.head()
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  | Column | Type | Null % | Range / Sample Values |
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  |---|---|---|---|
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- | `organization` | object | 0.0% | PHILIPPINE RED CROSS, PHILIPPINE DISASTER RESILIENCE FOUNDATION, ADVENTIST DEVELOPMENT AND RELIEF AGENCY (ADRA) |
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- | `orgs_acronym` | object | 0.2% | PRC, ADRA, RI |
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- | `partner` | object | 0.8% | PRC, UNSPECIFIED, Adventist Community Services (ACS) |
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- | `cluster` | object | 0.0% | Health, WASH, NFI |
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- | `sub_cluster` | object | 0.0% | UNSPECIFIED, Food Security, Agriculture and Livelihood, PSS |
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- | `region` | object | 0.0% | REGION IV-A (CALABARZON), Region IV-A (CALABARZON), NATIONAL CAPITAL REGION (NCR) |
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- | `province` | object | 0.0% | BATANGAS, CAVITE, LAGUNA |
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- | `city_municipality` | object | 0.0% | UNSPECIFIED, BATANGAS CITY (CAPITAL), BAUAN |
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- | `barangay` | object | 0.0% | UNSPECIFIED, Barangay 2, Batangas Sports Complex |
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- | `evacuation_site` | object | 0.2% | UNSPECIFIED, Cabuyao, Concepcion Elementary School |
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- | `activity` | object | 0.0% | |
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- | `status_ongoing_completed_planned` | object | 0.0% | |
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- | `start` | datetime64[ns] | 3.7% | |
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- | `finish` | object | 0.0% | |
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- | `remarks` | object | 0.2% | |
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- | `region_code` | object | 0.2% | |
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- | `province_code` | object | 0.2% | |
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- | `mun_city_code` | object | 0.2% | |
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- | `mun` | object | 0.2% | |
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- | `pro` | object | 0.2% | |
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- | `esa_source` | object | 0.0% | |
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- | `esa_processed` | object | 0.0% | |
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  ---
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@@ -146,15 +107,15 @@ _No numeric columns._
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  ## Curation
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- 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 exact duplicate rows were removed. 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.
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  ---
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  ## Limitations
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- - Data originates from OCHA Philippines and has not been independently validated by ESA.
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  - Automated cleaning cannot correct for misreported values, definitional inconsistencies, or sampling bias in the original collection.
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- - Refer to the [original HDX dataset page](https://data.humdata.org/dataset/philippines-who-is-doing-what-and-where-in-taal-volcano-eruption) for the publisher's own methodology notes and caveats.
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  ---
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@@ -162,10 +123,10 @@ Raw data was downloaded from HDX via the CKAN API and converted to Parquet. Colu
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  ```bibtex
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  @dataset{hdx_asia_operational_presence_all,
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- title = {Philippines: Who is Doing What and Where in Taal Volcano Eruption},
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- author = {OCHA Philippines},
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- year = {2023},
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- url = {https://data.humdata.org/dataset/philippines-who-is-doing-what-and-where-in-taal-volcano-eruption},
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  note = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
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  }
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  ```
 
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  multilinguality:
10
  - monolingual
11
  size_categories:
12
+ - 1K<n<10K
13
  source_datasets:
14
  - original
15
  task_categories:
 
21
  - humanitarian
22
  - hdx
23
  - electric-sheep-africa
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+ - cyclones-hurricanes-typhoons
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  - operational-presence
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+ - shelter
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  - who-is-doing-what-and-where-3w-4w-5w
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  - phl
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+ pretty_name: "Philippines - Who does What, Where, and When (4W) typhoon Goni and Vamco"
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  dataset_info:
 
 
 
 
 
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  splits:
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+ - name: train
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+ num_examples: 4981
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+ - name: test
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+ num_examples: 1245
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ # Philippines - Who does What, Where, and When (4W) typhoon Goni and Vamco
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+ **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
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42
  ---
43
 
44
  ## Abstract
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+ Shelter Cluster 4W report (Who does What, Where, and When) for typhoon Goni (Rolly) and Vamco (Ulysses) in the Philippines
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+ Each row in this dataset represents tabular records. Data was last updated on HDX on 2025-03-07. Geographic scope: **PHL**.
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  *Curated into ML-ready Parquet format by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica).*
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  | | |
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  |---|---|
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  | **Domain** | Humanitarian and development data |
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+ | **Unit of observation** | Tabular records |
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+ | **Rows (total)** | 6,227 |
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+ | **Columns** | 2 (0 numeric, 2 categorical, 0 datetime) |
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+ | **Train split** | 4,981 rows |
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+ | **Test split** | 1,245 rows |
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  | **Geographic scope** | PHL |
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+ | **Publisher** | Global Shelter Cluster (inactive) |
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+ | **HDX last updated** | 2025-03-07 |
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68
  ---
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  ## Variables
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+ **Identifier / Metadata** — `esa_source` (HDX), `esa_processed` (2026-05-04).
 
 
 
 
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  ---
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  | Column | Type | Null % | Range / Sample Values |
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  |---|---|---|---|
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+ | `esa_source` | object | 0.0% | HDX |
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+ | `esa_processed` | object | 0.0% | 2026-05-04 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  ## Curation
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110
+ 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.
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112
  ---
113
 
114
  ## Limitations
115
 
116
+ - Data originates from Global Shelter Cluster (inactive) and has not been independently validated by ESA.
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  - Automated cleaning cannot correct for misreported values, definitional inconsistencies, or sampling bias in the original collection.
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+ - 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.
119
 
120
  ---
121
 
 
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  ```bibtex
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  @dataset{hdx_asia_operational_presence_all,
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+ title = {Philippines - Who does What, Where, and When (4W) typhoon Goni and Vamco},
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+ author = {Global Shelter Cluster (inactive)},
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+ year = {2025},
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+ url = {https://data.humdata.org/dataset/philippines-who-does-what-where-and-when-4w-for-typhoon-goni-and-vamco-01-december-2020},
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  note = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
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  }
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  ```