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README.md ADDED
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+ ---
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+ license: other
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+ language:
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+ - en
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+ task_categories:
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+ - tabular-classification
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+ - tabular-regression
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+ multilinguality: monolingual
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+ size_categories:
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+ - 1K<n<10K
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+ tags:
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+ - tabular
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+ - xlsx
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+ - africa
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+ - mozambique
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+ - official-statistics
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+ - open-data
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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-00000-of-00001.parquet
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+ pretty_name: "Inquerito Crime e Justica 2020 | Africa (Mozambique official open data)"
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+ ---
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+
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+ # Inquerito Crime e Justica 2020 | Africa (Mozambique official open data)
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+
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+ 1,150 rows - 1 Africa country - 2020 - Repackaged by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)
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+
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+ ![rows](https://img.shields.io/badge/rows-1150-blue)
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+ ![countries](https://img.shields.io/badge/countries-1-green)
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+ ![years](https://img.shields.io/badge/years-2020-orange)
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+ ![indicators](https://img.shields.io/badge/indicators-0-purple)
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+ ![license](https://img.shields.io/badge/license-other-lightgrey)
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+
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+ ## TL;DR
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+
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+ This dataset packages one official `XLSX` resource from **Mozambique** as
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+ ML-ready Parquet. The source file is the provenance boundary; all usable
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+ indicators or tabular columns from the resource stay together in this repo.
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+
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+ ## About the source
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+
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+ - **Source:** [Inquerito Crime e Justica 2020](https://mozdata.ine.gov.mz/index.php/catalog/60/related-materials)
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+ - **Publisher:** DEMOVIS
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+ - **Resource:** [Verbetes - Inquérito Mensal aos Comandos da Polícia](https://mozdata.ine.gov.mz/index.php/catalog/60/download/337)
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+ - **Format:** `XLSX`
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+ - **License:** [Other open license]()
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+ - **Packaging mode:** `tabular_resource`
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+
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+ ## Geographic coverage
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+
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+ 1 Africa country:
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+
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+ | Country | Rows | First year | Last year | Name |
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+ |---------|-----:|-----------:|----------:|------|
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+ | `MOZ` | 1,150 | 2020 | 2020 | `Mozambique` |
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+
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+ ## Indicators or Resource Contents
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+
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+ - This source file is packaged as a normalized tabular resource.
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+
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+ ## Schema
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+
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+ | Column | Type | Description | Example |
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+ |--------|------|-------------|---------|
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+ | `source_record_id` | `string` | Stable row identifier for tabular resources. | `moz-ine-nada-60-337:policia:0` |
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+ | `country_iso3` | `category` | ISO3 country code. | `MOZ` |
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+ | `country_name` | `category` | Country name. | `Mozambique` |
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+ | `source_sheet` | `string` | Workbook sheet name, when the source is a spreadsheet. | `Policia` |
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+ | `year` | `Int64` | Observation year. | `2020` |
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+ | `tipos_de_crimes` | `string` | Source column. | `Titulo 1- CRIMES CONTRA PESSOAS` |
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+ | `conhecidos` | `string` | Source column. | `` |
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+ | `column_3` | `string` | Source column. | `` |
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+ | `column_4` | `string` | Source column. | `` |
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+ | `column_5` | `string` | Source column. | `` |
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+ | `column_6` | `string` | Source column. | `` |
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+ | `column_7` | `string` | Source column. | `` |
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+ | `column_8` | `string` | Source column. | `` |
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+ | `column_9` | `string` | Source column. | `` |
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+ | `esclarecidos` | `string` | Source column. | `` |
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+ | `column_11` | `string` | Source column. | `` |
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+ | `column_12` | `string` | Source column. | `` |
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+ | `column_13` | `string` | Source column. | `` |
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+ | `column_14` | `string` | Source column. | `` |
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+ | `column_15` | `string` | Source column. | `` |
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+ | `column_16` | `string` | Source column. | `` |
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+ | `nao_esclarecidos` | `string` | Source column. | `` |
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+ | `source_period_start_year` | `Int64` | First year inferred from source resource metadata. | `2020` |
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+ | `source_period_end_year` | `Int64` | Last year inferred from source resource metadata. | `2020` |
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+ | `source_period_label` | `category` | Human-readable period inferred from source resource metadata. | `2020` |
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+ | `source_provider` | `category` | Publishing organization. | `DEMOVIS` |
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+ | `source_dataset` | `category` | Source package title. | `Inquerito Crime e Justica 2020` |
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+ | `source_resource` | `category` | Source resource title. | `Verbetes - Inquérito Mensal aos Comandos da Polícia` |
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+ | `source_package_id` | `category` | CKAN package UUID. | `MZ-JC-2020` |
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+ | `source_resource_id` | `category` | CKAN resource UUID. | `moz-ine-nada-60-337` |
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+ | `source_url` | `category` | Original source resource URL. | `https://mozdata.ine.gov.mz/index.php/catalog/60/download/337` |
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+ | `license_id` | `category` | Source license identifier. | `other-open` |
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+ | `retrieved_at` | `category` | UTC retrieval timestamp. | `2026-08-07T22:10:37Z` |
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+ | `column_10` | `string` | Source column. | `` |
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+ | `column_17` | `string` | Source column. | `` |
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+ | `column_1` | `string` | Source column. | `` |
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+ | `h` | `string` | Source column. | `` |
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+ | `m` | `string` | Source column. | `` |
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+ | `h_2` | `string` | Source column. | `` |
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+ | `m_2` | `string` | Source column. | `` |
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+ | `h_3` | `string` | Source column. | `` |
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+ | `m_3` | `string` | Source column. | `` |
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+ | `h_4` | `string` | Source column. | `` |
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+ | `m_4` | `string` | Source column. | `` |
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+ | `h_5` | `string` | Source column. | `` |
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+ | `m_5` | `string` | Source column. | `` |
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+ | `h_6` | `string` | Source column. | `` |
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+ | `m_6` | `string` | Source column. | `` |
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+ | `h_7` | `string` | Source column. | `` |
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+ | `m_7` | `string` | Source column. | `` |
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+ | `h_8` | `string` | Source column. | `` |
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+ | `m_8` | `string` | Source column. | `` |
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+ | `h_9` | `string` | Source column. | `` |
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+ | `m_9` | `string` | Source column. | `` |
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+ | `h_10` | `string` | Source column. | `` |
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+ | `m_10` | `string` | Source column. | `` |
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+ | `h_11` | `string` | Source column. | `` |
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+ | `m_11` | `string` | Source column. | `` |
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+ | `h_12` | `string` | Source column. | `` |
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+ | `m_12` | `string` | Source column. | `` |
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+
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+ ## Usage
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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-mozambique-inquerito-crime-e-justica-2020-0a8badad")
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+ df = ds["train"].to_pandas()
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+ print(df.head())
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+ ```
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+
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+ ### Filter to one country
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+
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+ ```python
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+ sample_country = df[df["country_iso3"] == "MOZ"]
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+ ```
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+
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+ ### Work with indicators
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+
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+ ```python
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+ if "indicator_id" in df.columns:
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+ print(df["indicator_id"].value_counts().head())
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+ sample = df.sort_values([c for c in ["indicator_id", "year"] if c in df.columns])
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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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+ @misc{electric_sheep_africa_africa_mozambique_inquerito_crime_e_justica_2020_0a8badad_2020,
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+ title = {Inquerito Crime e Justica 2020 | Africa (Mozambique official open data)},
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+ author = {DEMOVIS},
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+ year = {2020},
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+ url = {https://mozdata.ine.gov.mz/index.php/catalog/60/related-materials},
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+ publisher = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
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+ howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mozambique-inquerito-crime-e-justica-2020-0a8badad}}
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+ }
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+ ```
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+
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+ ## License
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+
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+ Released under [Other open license]().
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+
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+ Original data (c) DEMOVIS. When using this dataset, please cite both the
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+ original source above and the Electric Sheep Africa repackaging.
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+
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+ ## About Electric Sheep
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+
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+ Electric Sheep Africa is part of the Electric Sheep mission: a unified,
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+ ML-ready data layer for Africa on Hugging Face. We pull data from authoritative
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+ open sources, normalize the schemas, package as Parquet, and publish with
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+ consistent dataset cards so researchers and developers can use `load_dataset()`
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+ to start working in seconds.
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+
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+ Browse the full collection: [huggingface.co/electricsheepafrica](https://huggingface.co/electricsheepafrica)
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+
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+ ---
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+
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+ Provenance: ingested 2026-08-07 via the Electric Sheep pipeline. Source URL:
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+ https://mozdata.ine.gov.mz/index.php/catalog/60/download/337
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+ size 47857
metadata/source_snapshot.json ADDED
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+ {
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+ "columns": [
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+ "source_record_id",
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+ "country_iso3",
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+ "country_name",
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+ "source_sheet",
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+ "year",
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+ "tipos_de_crimes",
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+ "conhecidos",
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+ "column_3",
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+ "column_4",
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+ "column_5",
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+ "column_6",
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+ "column_7",
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+ "column_8",
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+ "column_9",
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+ "esclarecidos",
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+ "column_11",
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+ "column_12",
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+ "column_13",
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+ "column_14",
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+ "column_15",
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+ "column_16",
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+ "nao_esclarecidos",
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+ "source_period_start_year",
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+ "source_period_end_year",
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+ "source_period_label",
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+ "source_provider",
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+ "source_dataset",
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+ "source_resource",
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+ "source_package_id",
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+ "source_resource_id",
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+ "source_url",
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+ "license_id",
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+ "retrieved_at",
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+ "column_10",
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+ "column_17",
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+ "column_1",
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+ "h",
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+ "m",
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+ "h_2",
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+ "m_2",
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+ "h_3",
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+ "m_3",
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+ "h_4",
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+ "m_4",
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+ "h_5",
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+ "m_5",
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+ "h_6",
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+ "m_6",
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+ "h_7",
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+ "m_7",
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+ "h_8",
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+ "m_8",
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+ "h_9",
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+ "m_9",
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+ "h_10",
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+ "m_10",
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+ "h_11",
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+ "m_11",
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+ "h_12",
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+ "m_12"
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+ ],
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+ "generated_at": "2026-08-07T22:11:08Z",
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+ "indicator_count": 0,
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+ "mode": "tabular_resource",
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+ "repo_id": "electricsheepafrica/africa-mozambique-inquerito-crime-e-justica-2020-0a8badad",
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+ "rows": 1150,
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+ "source": {
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+ "api_base_url": "https://mozdata.ine.gov.mz/index.php/api/catalog/search",
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+ "country_iso3": "MOZ",
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+ "country_name": "Mozambique",
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+ "group_names": "Verbetes - Inquérito Mensal aos Comandos da Polícia; Novo Verbete_ComandosPRM03092020 (1).xlsx; 2020",
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+ "license_id": "other-open",
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+ "license_title": "Public INE Mozambique related material",
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+ "license_url": "https://mozdata.ine.gov.mz/index.php/catalog/60",
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+ "organization_title": "DEMOVIS",
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+ "package_id": "MZ-JC-2020",
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+ "package_name": "mz-jc-2020",
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+ "package_notes": "",
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+ "package_page_url": "https://mozdata.ine.gov.mz/index.php/catalog/60/related-materials",
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+ "package_title": "Inquerito Crime e Justica 2020",
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+ "package_type": "survey",
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+ "portal_title": "Instituto Nacional de Estatistica Microdata Catalog",
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+ "portal_url": "https://mozdata.ine.gov.mz",
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+ "resource_created": "2021-11-03T16:31:40+03:00",
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+ "resource_description": "Document, Questionnaire [doc/qst]",
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+ "resource_filename": "Novo Verbete_ComandosPRM03092020 (1).xlsx",
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+ "resource_format": "XLSX",
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+ "resource_id": "moz-ine-nada-60-337",
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+ "resource_last_modified": "2023-11-08T11:05:53+03:00",
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+ "resource_mimetype": "",
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+ "resource_name": "Verbetes - Inquérito Mensal aos Comandos da Polícia",
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+ "resource_position": "0",
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+ "resource_url": "https://mozdata.ine.gov.mz/index.php/catalog/60/download/337",
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+ "source_catalog_id": "60",
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+ "source_idno": "MZ-JC-2020",
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+ "source_total_downloads": "2897",
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+ "source_total_views": "3661",
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+ "tag_names": "survey; Document, Questionnaire [doc/qst]; Questionários"
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+ },
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+ "year_max": 2020,
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+ "year_min": 2020
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+ }