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electricsheepafrica/africa-somalia-conflict-related-crsv-or-political-related-sexual-violence-e2febe06

Conflict Related Crsv or Political Related Sexual Violence | Africa (Insecurity Insight) 250 rows - 1 Africa country/area - 2026 - 3 indicators - Engineered by Electric Sheep Africa TL;DR This dataset contains 250 rows from Insecurity Insight, covering Conflict Related Crsv or Political Related Sexual Violence. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples. What… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-somalia-conflict-related-crsv-or-political-related-sexual-violence-e2febe06.

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Conflict Related Crsv or Political Related Sexual Violence | Africa (Insecurity Insight)

250 rows - 1 Africa country/area - 2026 - 3 indicators - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

rows countries period indicators license

TL;DR

This dataset contains 250 rows from Insecurity Insight, covering Conflict Related Crsv or Political Related Sexual Violence. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Demographic datasets help analysts understand population structure, household conditions, migration, gender, age, and settlement patterns.

Source-provided context: Resource covering 01 January to 08 July 2026 on incidents of sexual violence perpetrated by conflict actors. Categorised by country.

How To Read This Dataset

  • —One row means: one indicator observation for one geography, time period, and optional source dimensions.
  • —Primary geography column: country_iso3.
  • —Best time column: year.
  • —Time coverage basis: year.
  • —Recommended join keys: country_iso3, year, indicator_id.

Coverage

DimensionValue
Rows250
Countries/areas1
First period2026
Last period2026
Indicators3
Columns36
Source formatXLSX

Geographic Coverage

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

AreaRowsFirst yearLast yearName
SOM25020262026Somalia

Indicators, Variables, Or Resource Contents

  • —conflict-related-crsv-or-political-related-sexual-violence-data-number-o-f82ffcaa - Conflict-Related (CRSV) or Political-Related Sexual Violence Data - number of reported victims(sourceunitsunspecified)
  • —conflict-related-crsv-or-political-related-sexual-violence-data-reported-2439522b - Conflict-Related (CRSV) or Political-Related Sexual Violence Data - reported deaths following the sexual violence(sourceunitsunspecified)
  • —conflict-related-crsv-or-political-related-sexual-violence-data-sind-eve-3616d54f - Conflict-Related (CRSV) or Political-Related Sexual Violence Data - sind event id(sourceunitsunspecified)

Schema

ColumnTypeDescriptionExample
indicator_idstringStable source or Electric Sheep Africa indicator identifier.conflict-related-crsv-or-political-related-sexual-violence-data-numbe...
indicator_namestringHuman-readable indicator name.Conflict-Related (CRSV) or Political-Related Sexual Violence Data - n...
country_iso3stringISO3 country or area code.SOM
source_sheetstringSource column from the original resource.Sheet1
country_namestringCountry or area name.Somalia
yearint64Observation year.2026
valuedoubleNumeric observation value.2.0
unitstringMeasurement unit, when supplied by the source.source_units_unspecified
dimension_datestringSource dimension retained during long-form normalization.2026-07-08 00:00:00
dimension_countrystringSource dimension retained during long-form normalization.OPT
dimension_country_isostringSource dimension retained during long-form normalization.PSE
dimension_admin_1stringSource dimension retained during long-form normalization.West Bank
dimension_geo_precisionstringSource dimension retained during long-form normalization.censored
dimension_location_where_sexual_violence_was_committedstringSource dimension retained during long-form normalization.Whilst Travelling
dimension_reported_perpetratorstringSource dimension retained during long-form normalization.Government: Military
dimension_reported_perpetrator_namestringSource dimension retained during long-form normalization.Israeli Defence Forces
dimension_single_or_multiple_perpetratorsstringSource dimension retained during long-form normalization.Multiple Perpetrators
dimension_weapon_carried_usedstringSource dimension retained during long-form normalization.Fist and Foot
dimension_survivor_or_victimstringSource dimension retained during long-form normalization.Aid Worker
dimension_survivor_or_victim_sexstringSource dimension retained during long-form normalization.Male, Probably Male
dimension_adult_or_minorstringSource dimension retained during long-form normalization.Adult
dimension_type_of_sexual_violencestringSource dimension retained during long-form normalization.Stripped Naked/Torn Clothes
dimension_sexual_violence_contextstringSource dimension retained during long-form normalization.Aid Workers Experienced Sexual Violence
dimension_classification_of_sexual_violencestringSource dimension retained during long-form normalization.Intimidation
dimension_date_event_enteredstringSource dimension retained during long-form normalization.2026-08-05 00:00:00
source_period_start_yearint64Start year inferred from source metadata.2026
source_period_end_yearint64End year inferred from source metadata.2026
source_period_labeldictionary<values=string, indices=int8, ordered=0>Source column from the original resource.2026
source_providerdictionary<values=string, indices=int8, ordered=0>Publishing organization.Insecurity Insight
source_datasetdictionary<values=string, indices=int8, ordered=0>Source dataset or package title.Conflict-Related (CRSV) or Political-Related Sexual Violence Data
source_resourcedictionary<values=string, indices=int8, ordered=0>Source resource title, table name, or file name.2026 Conflict-Related Sexual Violence (CRSV) Incident Data.xlsx
source_package_iddictionary<values=string, indices=int8, ordered=0>Source package identifier.4fd39213-b871-40cd-bb6c-32cf900a1158
source_resource_iddictionary<values=string, indices=int8, ordered=0>Source resource identifier.6fc1d687-e06a-4d08-946f-1b9811ef96dd
source_urldictionary<values=string, indices=int8, ordered=0>Original source URL or download URL.https://data.humdata.org/dataset/4fd39213-b871-40cd-bb6c-32cf900a1158...
license_iddictionary<values=string, indices=int8, ordered=0>Source license identifier.cc-by
retrieved_atdictionary<values=string, indices=int8, ordered=0>UTC source retrieval timestamp from the Electric Sheep Africa pipeline.2026-08-10T14:51:11Z

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-somalia-conflict-related-crsv-or-political-related-sexual-violence-e2febe06")
df = ds["train"].to_pandas()
print(df.head())

Inspect Columns

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

Filter By Geography

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

Time-Series Pattern

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

Pivot For Analysis

python
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

  • —Canonical time field: year.
  • —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

  • —Build demographic profiles
  • —Normalize indicators per capita
  • —Join with service-delivery datasets
  • —Build time-series views and period-over-period comparisons
  • —Pivot to geography x period or indicator x period matrices
  • —Check missingness before modeling
  • —Use country_iso3 as the safest geography join key when present

Citation

bibtex
@misc{electric_sheep_africa_africa_somalia_conflict_related_crsv_or_political_related_sexual_violence_e2febe_2026,
  title        = {Conflict Related Crsv or Political Related Sexual Violence | Africa (Insecurity Insight)},
  author       = {Insecurity Insight},
  year         = {2026},
  url          = {https://data.humdata.org/dataset/conflict-related-sexual-violence},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-somalia-conflict-related-crsv-or-political-related-sexual-violence-e2febe06}}
}

License

Released under CC BY 4.0.

Original data is published by Insecurity Insight. 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 2026-08-12 by the Electric Sheep Africa README system. Source URL: https://data.humdata.org/dataset/conflict-related-sexual-violence