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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  dataset_info:
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- features:
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- - name: location_code
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- dtype: string
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- - name: location_name
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- dtype: string
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- - name: location_level
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- dtype: int64
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- - name: language_code
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- dtype: string
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- - name: language_name
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- dtype: string
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- - name: language_rank
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- dtype: int64
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- - name: proportion_value
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- dtype: float64
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- - name: reliability_score
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- dtype: float64
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- - name: dataset_name
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- dtype: string
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- - name: url
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- dtype: string
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- - name: source
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- dtype: string
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- - name: datetime_published
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- dtype: timestamp[ns]
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- - name: date_creation
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- dtype: timestamp[ns]
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- - name: representivity_rating
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- dtype: string
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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: 584
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- num_examples: 2
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- download_size: 7737
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- dataset_size: 584
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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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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ annotations_creators:
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+ - no-annotation
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+ language_creators:
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+ - found
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+ language:
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+ - en
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+ license: cc-by-sa-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:
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+ - other
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+ task_ids: []
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+ tags:
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+ - africa
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+ - humanitarian
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+ - hdx
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+ - electric-sheep-africa
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+ - languages
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+ - cpv
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+ pretty_name: "Cabo Verde: Languages"
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  dataset_info:
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  splits:
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+ - name: train
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+ num_examples: 1
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+ - name: test
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+ num_examples: 0
 
 
 
 
 
 
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  ---
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+
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+ # Cabo Verde: Languages
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+
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+ **Publisher:** CLEAR Global (previously Translators without Borders) · **Source:** [HDX](https://data.humdata.org/dataset/cabo-verde-languages) · **License:** `cc-by-sa` · **Updated:** 2026-04-07
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+
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+ ---
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+
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+ ## Abstract
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+
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+ Data on languages spoken in Cabo Verde, showing the main language spoken in the household by proportion of the population. Data is drawn from AfroBarometer. For more resources on the languages of Cabo Verde and language use in humanitarian contexts please visit: https://clearglobal.org/language-maps-and-data/
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+
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+ Each row in this dataset represents time-series observations. Temporal coverage is indicated by the `datetime_published`, `date_creation` column(s). Geographic scope: **CPV**.
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+
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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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+
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+ ## Dataset Characteristics
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+
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+ | | |
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+ |---|---|
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+ | **Domain** | Demographics and population |
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+ | **Unit of observation** | Time-series observations |
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+ | **Rows (total)** | 2 |
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+ | **Columns** | 16 (4 numeric, 10 categorical, 2 datetime) |
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+ | **Train split** | 1 rows |
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+ | **Test split** | 0 rows |
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+ | **Geographic scope** | CPV |
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+ | **Publisher** | CLEAR Global (previously Translators without Borders) |
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+ | **HDX last updated** | 2026-04-07 |
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+
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+ ---
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+
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+ ## Variables
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+
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+ **Geographic** — `location_code` (CPV), `location_name` (Cabo Verde), `location_level` (range 0.0–0.0), `reliability_score` (range 0.559–0.559), `representivity_rating` (moderate).
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+
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+ **Temporal** — `datetime_published`, `date_creation`.
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+
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+ **Demographic** — `language_code` (kabu1256, port1283), `language_name` (Kabuverdianu, Portuguese), `language_rank` (range 1.0–2.0).
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+
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+ **Outcome / Measurement** — `proportion_value` (range 0.0017–0.9983).
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+
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+ **Identifier / Metadata** — `dataset_name` (Cabo Verde Round 8 data (2021)), `source` (AfroBarometer), `esa_source` (HDX), `esa_processed` (2026-04-07).
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+
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+ **Other** — `url` (https://www.afrobarometer.org/wp-content/uploads/2022/06/afrobarometer_release-data_cve_r8_pt_2021-03-31.sav).
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+
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+ ---
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+
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+ ## Quick Start
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ ds = load_dataset("electricsheepafrica/africa-cabo-verde-languages")
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+ train = ds["train"].to_pandas()
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+ test = ds["test"].to_pandas()
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+
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+ print(train.shape)
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+ train.head()
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+ ```
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+
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+ ---
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+
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+ ## Schema
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+
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+ | Column | Type | Null % | Range / Sample Values |
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+ |---|---|---|---|
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+ | `location_code` | object | 0.0% | CPV |
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+ | `location_name` | object | 0.0% | Cabo Verde |
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+ | `location_level` | int64 | 0.0% | 0.0 – 0.0 (mean 0.0) |
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+ | `language_code` | object | 0.0% | kabu1256, port1283 |
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+ | `language_name` | object | 0.0% | Kabuverdianu, Portuguese |
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+ | `language_rank` | int64 | 0.0% | 1.0 – 2.0 (mean 1.5) |
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+ | `proportion_value` | float64 | 0.0% | 0.0017 – 0.9983 (mean 0.5) |
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+ | `reliability_score` | float64 | 0.0% | 0.559 – 0.559 (mean 0.559) |
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+ | `dataset_name` | object | 0.0% | Cabo Verde Round 8 data (2021) |
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+ | `url` | object | 0.0% | https://www.afrobarometer.org/wp-content/uploads/2022/06/afrobarometer_release-data_cve_r8_pt_2021-03-31.sav |
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+ | `source` | object | 0.0% | AfroBarometer |
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+ | `datetime_published` | datetime64[ns] | 0.0% | |
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+ | `date_creation` | datetime64[ns] | 0.0% | |
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+ | `representivity_rating` | object | 0.0% | moderate |
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+ | `esa_source` | object | 0.0% | HDX |
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+ | `esa_processed` | object | 0.0% | 2026-04-07 |
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+
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+ ---
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+
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+ ## Numeric Summary
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+
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+ | Column | Min | Max | Mean | Median |
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+ |---|---|---|---|---|
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+ | `location_level` | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | `language_rank` | 1.0 | 2.0 | 1.5 | 1.5 |
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+ | `proportion_value` | 0.0017 | 0.9983 | 0.5 | 0.5 |
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+ | `reliability_score` | 0.559 | 0.559 | 0.559 | 0.559 |
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+
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+ ---
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+
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+ ## Curation
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+
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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`. 2 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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+ ---
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+
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+ ## Limitations
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+
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+ - Data originates from CLEAR Global (previously Translators without Borders) 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/cabo-verde-languages) for the publisher's own methodology notes and caveats.
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+
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+ ---
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+
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+ ## Citation
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+
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+ ```bibtex
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+ @dataset{hdx_africa_cabo_verde_languages,
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+ title = {Cabo Verde: Languages},
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+ author = {CLEAR Global (previously Translators without Borders)},
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+ year = {2026},
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+ url = {https://data.humdata.org/dataset/cabo-verde-languages},
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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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+
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+ ---
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+
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+ *[Electric Sheep Africa](https://huggingface.co/electricsheepafrica) — Africa's ML dataset infrastructure. Lagos, Nigeria.*