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Datasets:
electricsheepafrica
/
africa-jowhar-district-conflict-and-security-assessment-2015

Tasks:
Tabular Classification
Tabular Regression
Modalities:
Tabular
Text
Formats:
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Languages:
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Tags:
africa
electric-sheep-africa
open-data
metadata-backed
governance-security
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region_name
int64
district_name
int64
village_name
int64
gender_responder
int64
age
int64
marital_status
int64
level_education
int64
police_presense
int64
number_of_stations
float64
number_of_stations_other
string
distance_to_station
float64
reporting_civil
int64
reporting_civil_other
string
reporting_petty_crime
int64
reporting_petty_other
string
reporting_serious_crime
int64
reporting_serious_other
string
trusted_sec_prov
int64
trusted_sec_other
string
reason_for_choice_sec
float64
reason_for_choice_sec_other
string
level_trust_police
int64
police_yearly_trend
int64
court_presense
int64
number_of_courts
string
number_of_courts_other
string
where_is_court
string
distance_to_court
string
legal_clinic_aware
int64
legal_clinic_use
string
legal_clinic_ref
string
legal_clinic_ref_other
string
legal_clinic_issue
string
legal_clinic_issue_other
string
legal_clinic_judgement
string
legal_clinic_enforced
string
court_use
int64
court_ref
string
court_ref_other
string
court_issue
string
court_issue_other
string
court_judgement
string
court_enforced
string
elders_use
int64
elders_ref
string
elders_ref_other
string
elders_issue
string
elders_issue_other
string
elders_judgement
string
elders_enforced
string
religious_use
int64
religious_ref
string
religious_ref_other
string
religious_issue
string
religious_issue_other
string
religious_judgement
string
religious_enforced
string
trusted_just_prov
int64
trusted_just_prov_other
string
reason_for_choice_just
float64
reason_for_choice_just_other
string
conf_formal_just
int64
court_yearly_trend
int64
local_council_aware
int64
aware_of_services
string
channels_comm
string
consultation_participation
string
participation_frequency
string
participation_frequency_other
string
elected_opinion
int64
loc_gov_serviceseducation
string
loc_gov_serviceshealth
string
loc_gov_servicessecurity
string
loc_gov_servicesjustice
string
loc_gov_servicesagriculture
string
loc_gov_servicesinfrastructure
string
loc_gov_servicessanitation
string
loc_gov_serviceswater
string
loc_gov_servicesother
string
loc_gov_servicesdont_know
string
loc_gov_servicesrefused_to_answer
string
loc_gov_services_other
string
community_issueslack_of_water
string
community_issuesdrought
string
community_issueslack_of_infrastructure
string
community_issuespoor_sanitation
string
community_issuespoor_health
string
community_issuesunemployment
string
community_issuespoor_education
string
community_issuesshortage_of_electicity_supply
string
community_issuespoor_economy
string
community_issuescharcoal_production_deforestation
string
community_issuesbad_health_centers
string
community_issuesinsecurity
string
community_issuesgender_based_violence
string
community_issuesother
string
community_issuesdont_know
string
community_issuesrefused_to_answer
string
community_issues_other
string
council_yearly_trend
string
witnessed_conflict
int64
number_of_conflicts
string
number_conf_violence
string
number_casualties
string
conflict_reasonresources
string
conflict_reasonfamily_disputes
string
conflict_reasoncrime
string
conflict_reasonpower
string
conflict_reasonrevenge
string
conflict_reasonbusiness_disputes
string
conflict_reasonrape
string
conflict_reasonlack_of_justice
string
conflict_reasonother
string
conflict_reasondont_know
string
conflict_reasonrefused_to_answer
string
conflict_reason_other
string
witnessed_crimes
int64
how_safe
int64
safety_yearly_trend
int64
nspc
string
njpc
string
esa_source
string
esa_processed
string
1
1
1
1
3
2
5
1
1
1
5
5
5
2
1
2
3
1
1
1
1
2
1
2
1
2
1
2
1
1
1
2
2
1
2
3
2
1
1
1
2
2
4
1
1
HDX
2026-04-11
1
1
2
2
4
2
7
1
1
1
5
5
1
1
2
3
1
2
2
2
2
1
3
2
1
1
1
2
2
1
2
1
1
1
1
2
2
3
1
HDX
2026-04-11
1
1
4
2
5
2
1
1
1
1
1
1
1
1
2
2
1
1
1
1
1
777
1
1
3
1
1
1
3
1
1
1
1
3
4
1
1
1
1
1
1
2
1
1
2
2
3
1
HDX
2026-04-11
1
1
2
1
2
2
5
1
1
1
5
2
1
1
5
Mesha ugu danbeso iyaga
777
777
2
2
2
2
2
1
7
Mesha ugu danbeso
1
777
2
1
1
1
1
2
1
4
1
HDX
2026-04-11
1
1
3
2
3
2
7
1
1
1
5
1
5
2
4
1
3
1
1
1
1
2
1
2
5
Ilmo
1
1
2
2
2
4
2
3
2
1
1
1
2
2
4
1
4
HDX
2026-04-11
1
1
2
1
2
2
1
2
null
null
5
5
5
777
null
777
777
2
2
2
2
1
1
2
1
1
777
null
777
777
2
1
1
1
2
2
2
3
HDX
2026-04-11
1
1
1
1
3
2
3
1
1
1
1
1
1
1
4
4
1
1
1
1
1
777
1
2
3
1
1
2
2
1
4
1
1
2
1
1
2
2
4
1
HDX
2026-04-11
1
1
1
1
3
2
4
1
1
1
5
5
5
1
2
4
1
1
1
1
1
2
1
1
1
1
1
2
2
1
2
1
1
2
1
1
1
1
1
1
1
2
1
4
1
HDX
2026-04-11
1
1
4
1
4
2
7
1
1
1
1
1
2
2
3
2
1
1
1
1
1
2
2
1
3
3
1
1
1
4
1
1
1
2
3
2
1
2
1
1
2
2
3
1
3
HDX
2026-04-11
1
1
2
1
2
2
5
1
1
1
5
2
1
3
3
3
1
2
2
2
1
3
3
2
2
1
3
2
1
2
1
1
1
1
1
2
1
3
1
HDX
2026-04-11
1
1
2
1
2
2
7
1
1
1
1
2
1
1
2
3
1
2
2
1
1
1
2
2
2
1
2
2
1
2
1
1
1
1
1
1
2
2
3
1
HDX
2026-04-11
1
1
1
2
3
3
4
1
1
1
1
5
1
2
3
3
1
1
1
1
1
2
1
2
3
1
1
2
1
1
3
1
2
2
2
2
1
2
1
1
1
2
2
3
1
2
HDX
2026-04-11
1
1
2
2
3
2
1
2
null
null
888
888
888
777
null
888
777
777
777
2
2
2
888
null
888
777
2
2
1
1
1
1
2
2
3
777
HDX
2026-04-11
1
1
4
1
2
2
3
1
1
1
5
5
5
6
Gudomiyaha gobolka
null
3
1
1
1
1
1
2
2
2
2
4
Gudomiyaha gobolka
null
2
1
2
1
1
2
2
3
1
HDX
2026-04-11
1
1
2
1
4
2
4
1
1
1
2
1
2
2
4
2
3
1
1
1
2
2
1
2
2
2
1
3
2
1
1
1
1
4
1
1
2
2
3
3
2
2
1
1
1
2
1
20
1
1
4
1
2
HDX
2026-04-11
1
1
4
2
2
2
1
1
777
777
5
5
1
2
1
3
1
1
1
1
1
2
2
2
1
3
2
1
1
2
1
2
1
2
777
1
1
1
2
2
3
1
1
HDX
2026-04-11
1
1
4
1
5
2
5
1
1
1
1
5
1
2
2
3
1
1
1
1
1
2
1
2
1
1
1
2
2
1
5
1
1
2
1
1
1
3
2
8
1
1
4
1
HDX
2026-04-11
1
1
1
2
3
2
7
1
1
1
5
5
5
2
3
3
1
1
1
1
1
2
2
2
2
2
3
2
1
2
1
1
1
1
1
2
1
3
1
3
HDX
2026-04-11
1
1
4
1
6
2
1
1
1
1
2
2
2
2
2
2
3
1
1
1
1
2
1
2
1
2
1
5
Toos ayaan ugu tagay
1
1
1
2
2
2
2
3
2
1
1
1
1
2
2
3
3
2
HDX
2026-04-11
1
1
2
2
3
2
1
1
1
1
1
1
1
1
888
1
3
1
1
1
1
2
2
2
2
4
Gudomiyaha gobolka
null
3
3
2
1
1
2
2
4
1
HDX
2026-04-11
1
1
2
1
3
2
1
1
1
2
5
5
1
5
1
3
1
1
1
1
2
2
1
2
1
1
2
2
2
2
2
2
1
2
1
1
1
1
1
12
1
2
4
1
1
2
HDX
2026-04-11
1
1
2
1
2
1
4
1
1
1
5
5
1
3
2
4
1
2
2
2
2
1
1
3
1
1
3
2
1
1
2
1
1
1
1
1
1
2
2
3
1
HDX
2026-04-11
1
1
2
2
2
2
4
1
1
1
5
5
5
2
2
3
3
2
2
1
1
4
1
2
1
1
4
1
1
2
2
2
2
3
2
1
1
1
1
1
2
2
3
3
2
HDX
2026-04-11
1
1
2
1
5
2
5
1
1
1
5
5
1
1
5
Iyaga lagu kala baxi ka
4
1
2
2
1
2
4
1
1
2
2
1
2
1
1
2
1
1
1
1
2
1
2
1
HDX
2026-04-11
1
1
2
1
2
1
5
1
1
1
1
1
1
1
4
2
1
1
1
1
1
2
2
1
2
2
1
1
1
1
2
1
2
4
Gudomiyaha gobalka
null
2
3
2
1
1
1
2
2
4
1
HDX
2026-04-11
1
1
1
1
2
1
4
1
1
1
5
5
1
3
2
2
777
1
1
1
1
2
2
2
1
1
4
1
1
2
2
3
777
2
1
1
1
1
1
1
2
2
2
777
2
HDX
2026-04-11
1
1
1
2
2
2
2
1
2
1
5
5
3
3
3
1
3
1
2
1
1
2
2
2
2
2
3
3
3
777
777
1
2
2
3
3
3
HDX
2026-04-11
1
1
2
1
4
2
7
1
1
1
1
5
1
5
4
1
1
1
1
1
1
2
2
2
2
2
3
2
1
2
1
1
2
2
4
1
4
3
HDX
2026-04-11
1
1
2
2
3
2
2
1
1
1
1
5
1
3
2
3
1
1
1
1
1
1
2
2
2
2
2
2
2
1
2
1
1
1
1
2
2
3
1
2
HDX
2026-04-11
1
1
2
1
2
1
4
1
1
1
5
5
2
2
3
3
777
2
2
2
2
2
2
6
2
3
2
1
1
1
1
2
2
3
1
6
HDX
2026-04-11
1
1
1
1
6
4
5
1
1
1
5
2
5
2
4
3
1
1
1
1
1
2
1
2
1
1
1
2
2
2
2
2
1
2
1
1
1
1
1
1
1
2
2
5
1
1
3
1
2
HDX
2026-04-11
1
1
4
1
3
2
7
1
1
1
5
5
5
3
1
1
3
1
1
1
1
1
2
2
2
2
2
3
2
3
2
1
1
2
2
4
1
3
HDX
2026-04-11
1
1
2
1
3
2
4
1
1
1
5
5
5
3
2
3
1
2
2
2
2
2
3
2
2
1
2
1
1
1
1
2
2
3
1
HDX
2026-04-11
1
1
1
1
2
2
2
1
1
1
1
1
3
3
3
3
1
1
1
1
1
2
1
1
1
1
1
2
1
4
3
1
1
3
2
1
1
2
1
1
2
2
3
1
HDX
2026-04-11
1
1
2
2
4
2
7
1
1
1
1
5
5
1
3
3
1
2
2
2
2
2
1
2
1
1
2
1
1
1
1
1
1
1
2
2
4
1
HDX
2026-04-11
1
1
2
2
2
2
2
2
null
null
6
Family
777
777
5
4
777
777
2
2
2
2
2
2
2
3
777
2
777
1
1
1
1
2
2
4
1
4
2
HDX
2026-04-11
1
1
3
2
2
2
1
1
1
1
5
1
1
2
3
1
3
1
1
1
1
2
2
2
2
2
2
3
777
2
1
1
1
1
1
2
2
4
1
2
HDX
2026-04-11
1
1
1
2
2
3
3
1
1
1
5
5
5
2
1
2
3
1
1
1
1
2
1
2
3
2
1
1
3
1
1
2
2
2
2
3
2
1
1
777
2
4
1
2
HDX
2026-04-11
1
1
2
1
2
1
3
2
null
null
2
6
Qaraabada
1
2
2
2
1
2
2
2
2
2
3
2
3
1
2
1
1
1
1
1
2
2
3
1
HDX
2026-04-11
1
1
4
2
4
2
7
1
1
1
5
5
1
2
2
3
1
1
1
1
1
2
1
3
1
1
1
2
1
1
3
1
1
2
2
2
1
2
1
1
1
1
1
1
2
1
3
1
2
HDX
2026-04-11
1
1
1
1
5
2
4
1
1
1
5
5
1
2
4
2
3
1
2
1
1
777
2
2
2
3
5
3
3
2
1
1
2
2
3
1
HDX
2026-04-11
1
1
4
2
3
2
2
1
1
1
1
2
1
1
1
2
1
1
1
1
1
2
1
3
1
1
1
1
3
3
1
1
1
3
3
1
1
2
2
2
1
2
1
1
2
2
3
1
2
HDX
2026-04-11
1
1
2
2
4
2
3
1
1
1
5
2
5
2
3
3
1
2
2
2
1
1
4
1
1
2
2
2
2
1
2
1
1
1
1
2
2
3
1
2
HDX
2026-04-11
1
1
1
2
3
3
1
1
1
1
5
5
5
5
1
2
1
1
1
1
1
2
2
2
2
3
5
2
2
2
1
1
2
2
3
1
1
HDX
2026-04-11
1
1
2
1
3
1
3
1
1
1
1
1
1
1
2
2
1
1
1
1
1
777
2
2
1
4
3
1
1
1
1
1
1
2
1
1
2
2
3
1
HDX
2026-04-11
1
1
4
1
5
2
5
1
1
1
1
5
1
1
4
4
1
1
1
1
1
2
1
2
1
1
1
2
2
1
3
1
1
2
1
1
1
2
2
4
1
HDX
2026-04-11
1
1
1
2
4
2
7
1
1
1
5
5
5
2
2
3
1
1
1
1
1
2
2
1
1
1
1
1
2
2
2
2
1
2
1
1
1
1
1
2
1
3
1
2
HDX
2026-04-11
1
1
2
1
2
2
1
2
null
null
1
1
1
3
2
4
1
2
2
2
2
2
1
2
1
1
2
1
1
1
1
1
1
777
2
4
1
HDX
2026-04-11
1
1
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End of preview. Expand in Data Studio

Jowhar District Conflict and Security Assessment - 2015 | Africa (original)

Size category: n<1K - Formats: parquet - Sector: governance_security - Engineered by Electric Sheep Africa

size sector downloads license

TL;DR

This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.

What This Dataset Covers

Public datasets help analysts inspect structured evidence, build reproducible workflows, and compare patterns across domains.

Dataset context from the existing Hugging Face card: Jowhar District Conflict and Security Assessment - 2015 Publisher: Observatory of Conflict and Violence Prevention (inactive) · Source: HDX · License: cc-by-igo · Updated: 2023-03-03 Abstract As part of the continual assessments of issues affecting community security and safety, OCVP conducted extensive primary data collection in Jowhar district. Further details @… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-jowhar-district-conflict-and-security-assessment-2015.

Dataset Profile

Field Value
Hugging Face repo electricsheepafrica/africa-jowhar-district-conflict-and-security-assessment-2015
Sector governance_security
Topic tags humanitarian, hdx, electric-sheep-africa, complex-emergency-conflict-security, som
Modalities tabular, text
Formats parquet
Size category n<1K
Countries Africa-wide or source-defined African coverage
ISO3 coverage not declared
Last modified on HF 2026-04-11 00:34:39+00:00
Inventory snapshot 2026-07-16T16:00:34Z

How To Read This Dataset

  • Start from the repository files and the dataset viewer when available.
  • Treat the README context as a fast orientation layer; confirm variable definitions and units in the data files before modeling.
  • Use explicit country columns when present. When geography is only implied by the title or source metadata, document that assumption in downstream analysis.
  • Preserve missing values until you have a defensible imputation rule.

Usage 

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-jowhar-district-conflict-and-security-assessment-2015")
print(ds)

split_name = next(iter(ds))
table = ds[split_name]
print(table.features)
print(table[:3])

Convert To Pandas When Tabular 

from datasets import Dataset

first_split = ds[next(iter(ds))]
if isinstance(first_split, Dataset):
    df = first_split.to_pandas()
    print(df.head())

Data Quality Notes

  • This card was standardized from the Electric Sheep Africa Hugging Face metadata inventory.
  • Exact schema, row counts, and source files should be inspected in the repository data files.
  • Metadata gaps from the inventory: country, upstream_publisher.
  • Do not infer policy meaning from labels alone; confirm definitions, units, and methods in the source material.

Source And Provenance

Suggested Analyses

  • Inspect schema and missingness before modeling.
  • Profile variables by geography, time, and subgroup columns where present.
  • Join with other Electric Sheep Africa datasets using explicit country, year, and indicator fields when available.
  • Build reproducible notebooks that cite both the original source context and the Electric Sheep Africa Hugging Face repo.

Citation 

@misc{electric_sheep_africa_africa_jowhar_district_conflict_and_security_assessment_2015_2026,
  title        = {Jowhar District Conflict and Security Assessment - 2015 | Africa (original)},
  author       = {original},
  year         = {2026},
  url          = {https://huggingface.co/datasets/electricsheepafrica/africa-jowhar-district-conflict-and-security-assessment-2015},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-jowhar-district-conflict-and-security-assessment-2015}}
}

License

Released under CC BY 4.0.

Original source rights remain with the original publisher or data provider. Electric Sheep Africa engineering standardizes discovery metadata, documentation, and usage guidance for analysis on Hugging Face.

About Electric Sheep Africa

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

Provenance: metadata-backed README standardized 2026-08-12 by the Electric Sheep Africa README system. Inventory source: catalog/esa_metadata_inventory/master_metadata.jsonl.
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