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electricsheepafrica
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africa-mozambique-inquerito-biologico-e-comportamental-em-reclusos-e-agentes-28a1baff

Tasks:
Tabular Classification
Tabular Regression
Modalities:
Tabular
Text
Document
Formats:
parquet
Languages:
English
Size:
< 1K
Tags:
tabular
africa
open-data
official-statistics
mozambique
instituto-nacional-de-saude
Libraries:
Datasets
pandas
Polars
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metadata 
license: other
language:
  - en
task_categories:
  - tabular-classification
  - tabular-regression
multilinguality: multilingual
size_categories:
  - n<1K
tags:
  - tabular
  - africa
  - open-data
  - official-statistics
  - mozambique
  - instituto-nacional-de-saude
  - transport
  - demograficos
  - base-carga-viral
  - base-carga-viral-csv
  - '2022'
  - survey
  - nao-e-aplicavel
  - document
  - questionnaire-doc
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-00000-of-00001.parquet
pretty_name: >-
  Inquerito Biologico E Comportamental Em Reclusos E Agentes | Africa (Instituto
  Nacional de Saúde)

Inquerito Biologico E Comportamental Em Reclusos E Agentes | Africa (Instituto Nacional de Saúde)

273 rows - 1 Africa country/area - 2023-2024 - source table - Engineered by Electric Sheep Africa

rows countries period indicators license

TL;DR

This dataset contains 273 rows from Instituto Nacional de Saúde, covering Inquerito Biologico E Comportamental Em Reclusos E Agentes. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Transport datasets help analysts examine mobility, infrastructure, passenger movement, logistics, and access to services.

Source-provided context: Document, Questionnaire [doc/qst]

How To Read This Dataset

  • One row means: one source record from the original tabular resource, with Electric Sheep Africa provenance columns added where available.
  • Primary geography column: country_iso3.
  • Best time column: not detected.
  • Time coverage basis: source metadata.
  • Recommended join keys: country_iso3 where available plus source-specific keys.

Coverage

Dimension Value
Rows 273
Countries/areas 1
First period 2023
Last period 2024
Indicators 0
Columns 18
Source format CSV

Geographic Coverage

Top areas shown below, sorted by row count when available:

Area Rows First year Last year Name
MOZ 273 2023 2024 Mozambique

Indicators, Variables, Or Resource Contents

  • This repo preserves one source tabular resource with its usable columns kept together.

Schema

Column Type Description Example
source_record_id string Stable row identifier assigned during Electric Sheep Africa engineering. moz-ine-nada-128-1160:0
country_iso3 dictionary<values=string, indices=int8, ordered=0> ISO3 country or area code. MOZ
country_name dictionary<values=string, indices=int8, ordered=0> Country or area name. Mozambique
n_codparticipante string Source column from the original resource. PRI0102M008
cons_hiv string Source column from the original resource. Sim
cv_resul string Source column from the original resource. detectavel
cv_absoluto double Source column from the original resource. 400.0
source_period_start_year int64 Start year inferred from source metadata. 2023
source_period_end_year int64 End year inferred from source metadata. 2024
source_period_label dictionary<values=string, indices=int8, ordered=0> Source column from the original resource. 2023-2024
source_provider dictionary<values=string, indices=int8, ordered=0> Publishing organization. Instituto Nacional de Saúde
source_dataset dictionary<values=string, indices=int8, ordered=0> Source dataset or package title. Inquérito Biológico e Comportamental em Reclusos e Agentes em 22 Esta...
source_resource dictionary<values=string, indices=int8, ordered=0> Source resource title, table name, or file name. BASE CARGA_VIRAL
source_package_id dictionary<values=string, indices=int8, ordered=0> Source package identifier. MOZ.INE.IBCRAEP.2024.vII
source_resource_id dictionary<values=string, indices=int8, ordered=0> Source resource identifier. moz-ine-nada-128-1160
source_url dictionary<values=string, indices=int8, ordered=0> Original source URL or download URL. https://mozdata.ine.gov.mz/index.php/catalog/128/download/1160
license_id dictionary<values=string, indices=int8, ordered=0> Source license identifier. other-open
retrieved_at dictionary<values=string, indices=int8, ordered=0> UTC source retrieval timestamp from the Electric Sheep Africa pipeline. 2026-08-07T20:33:37Z

Usage 

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-mozambique-inquerito-biologico-e-comportamental-em-reclusos-e-agentes-28a1baff")
df = ds["train"].to_pandas()
print(df.head())

Inspect Columns 

print(df.info())
print(df.head())

Filter By Geography 

if "country_iso3" in df.columns:
    sample = df[df["country_iso3"] == "MOZ"]

Time-Series Pattern 

if "value" in df.columns and "year" in df.columns:
    trend = df.sort_values("year")

Pivot For Analysis 

if {"indicator_id", "year", "value"}.issubset(df.columns):
    matrix = df.pivot_table(index="year", columns="indicator_id", values="value")
    print(matrix.tail())

Data Quality Notes

  • No canonical year/date column was detected in the packaged table; use source metadata and domain context for temporal interpretation.
  • Missing values are preserved rather than silently imputed.
  • Column names are standardized for machine use; source meanings are preserved where known.
  • Always confirm source methodology, units, and collection definitions before policy, production, or redistribution-sensitive use.

Source And Provenance

Transformations Applied

  • Converted the source table to Parquet for efficient analytics and ML workflows.
  • Added or preserved source provenance columns where available.
  • Standardized README metadata, dataset loading configuration, schema documentation, and citation format.
  • Preserved source-reported values without analytical imputation.

Suggested Analyses

  • Track mobility over time
  • Compare routes or geographies
  • Join with economic and population data
  • Check missingness before modeling
  • Use country_iso3 as the safest geography join key when present

Citation 

@misc{electric_sheep_africa_africa_mozambique_inquerito_biologico_e_comportamental_em_reclusos_e_agentes_28a_2024,
  title        = {Inquerito Biologico E Comportamental Em Reclusos E Agentes | Africa (Instituto Nacional de Saúde)},
  author       = {Instituto Nacional de Saúde},
  year         = {2024},
  url          = {https://mozdata.ine.gov.mz/index.php/catalog/128/related-materials},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mozambique-inquerito-biologico-e-comportamental-em-reclusos-e-agentes-28a1baff}}
}

License

Released under other-open.

Original data is published by Instituto Nacional de Saúde. Electric Sheep Africa engineering standardizes the data for discovery, loading, and analysis on Hugging Face. Cite both the original source and this ML-ready dataset when used.

About Electric Sheep Africa

Electric Sheep Africa publishes ML-ready African public datasets on Hugging Face.

Provenance: README standardized 2026-08-11 by the Electric Sheep Africa README system. Source URL: https://mozdata.ine.gov.mz/index.php/catalog/128/related-materials