Add README.md

README.md

@@ -1,104 +1,206 @@
 ---
+annotations_creators:
+- no-annotation
+language_creators:
+- found
+language:
+- en
+license: cc-by-sa-4.0
+multilinguality:
+- monolingual
+size_categories:
+- n<1K
+source_datasets:
+- original
+task_categories:
+- tabular-classification
+- tabular-regression
+- other
+task_ids: []
+tags:
+- africa
+- humanitarian
+- hdx
+- electric-sheep-africa
+- aid-worker-security
+- aid-workers
+- complex-emergency-conflict-security
+- conflict-violence
+- damage-assessment
+- disease
+- education
+- education-facilities-schools
+- mli
+pretty_name: "Mali (MLI): Attacks on Aid Operations, Education, Food and Water Systems and Health Care"
 dataset_info:
-  features:
-  - name: date
-    dtype: timestamp[ns]
-  - name: country
-    dtype: string
-  - name: country_iso
-    dtype: string
-  - name: admin_1
-    dtype: string
-  - name: geo_precision
-    dtype: string
-  - name: location_of_incident
-    dtype: string
-  - name: reported_perpetrator
-    dtype: string
-  - name: reported_perpetrator_name
-    dtype: string
-  - name: weapon_carried_used
-    dtype: string
-  - name: organisation_affected
-    dtype: string
-  - name: programme_focus
-    dtype: string
-  - name: aid_workers_killed
-    dtype: int64
-  - name: aid_workers_injured
-    dtype: int64
-  - name: aid_workers_kidnapped
-    dtype: int64
-  - name: aid_workers_arrested
-    dtype: int64
-  - name: known_kidnapping_or_arrest_outcome
-    dtype: string
-  - name: aid_workers_killed_in_captivity
-    dtype: int64
-  - name: international_aid_workers_killed
-    dtype: int64
-  - name: international_aid_workers_killed_in_captivity
-    dtype: int64
-  - name: national_aid_workers_killed
-    dtype: int64
-  - name: national_aid_workers_killed_in_captivity
-    dtype: int64
-  - name: female_aid_workers_killed
-    dtype: int64
-  - name: female_aid_workers_killed_in_captivity
-    dtype: int64
-  - name: male_aid_workers_killed
-    dtype: int64
-  - name: male_aid_workers_killed_in_captivity
-    dtype: int64
-  - name: international_aid_workers_injured
-    dtype: int64
-  - name: national_aid_workers_injured
-    dtype: int64
-  - name: female_aid_workers_injured
-    dtype: int64
-  - name: male_aid_workers_injured
-    dtype: int64
-  - name: international_aid_workers_kidnapped
-    dtype: int64
-  - name: national_aid_workers_kidnapped
-    dtype: int64
-  - name: female_aid_workers_kidnapped
-    dtype: int64
-  - name: male_aid_workers_kidnapped
-    dtype: int64
-  - name: international_aid_workers_arrested
-    dtype: int64
-  - name: national_aid_workers_arrested
-    dtype: int64
-  - name: female_aid_workers_arrested
-    dtype: int64
-  - name: male_aid_workers_arrested
-    dtype: int64
-  - name: sind_event_id
-    dtype: int64
-  - name: date_event_entered
-    dtype: timestamp[ns]
-  - name: date_event_modified
-    dtype: timestamp[ns]
-  - name: esa_source
-    dtype: string
-  - name: esa_processed
-    dtype: string
   splits:
-  - name: train
-    num_bytes: 42748
-    num_examples: 109
-  - name: test
-    num_bytes: 10936
-    num_examples: 28
-  download_size: 48566
-  dataset_size: 53684
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: test
-    path: data/test-*
+    - name: train
+      num_examples: 109
+    - name: test
+      num_examples: 27
 ---
+
+# Mali (MLI): Attacks on Aid Operations, Education, Food and Water Systems and Health Care
+
+**Publisher:** Insecurity Insight · **Source:** [HDX](https://data.humdata.org/dataset/mali-violence-against-civilians-and-vital-civilian-facilities) · **License:** `cc-by-sa` · **Updated:** 2026-04-13
+
+---
+
+## Abstract
+
+This page contains information on reported incidents of violence and threats affecting aid operations and workers, education, food systems and health care services in [Mali](https://insecurityinsight.org/country-pages/mali).   Also included are datasets cited in the [Safeguarding Health in Conflict Coalition (SHCC)'s](https://www.safeguardinghealth.org/) annual reports.   Please get in touch if you are interested in curated datasets: info@insecurityinsight.org
+
+Each row in this dataset represents discrete events or incidents. Temporal coverage is indicated by the `date`, `date_event_entered` column(s). Geographic scope: **MLI**.
+
+*Curated into ML-ready Parquet format by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica).*
+
+---
+
+## Dataset Characteristics
+
+| | |
+|---|---|
+| **Domain** | Food security and nutrition |
+| **Unit of observation** | Discrete events or incidents |
+| **Rows (total)** | 137 |
+| **Columns** | 42 (26 numeric, 13 categorical, 3 datetime) |
+| **Train split** | 109 rows |
+| **Test split** | 27 rows |
+| **Geographic scope** | MLI |
+| **Publisher** | Insecurity Insight |
+| **HDX last updated** | 2026-04-13 |
+
+---
+
+## Variables
+
+**Geographic** — `country` (Mali), `country_iso` (MLI), `admin_1` (Mopti, Gao, Timbuktu), `location_of_incident` (Road, No information, Open Space), `aid_workers_killed_in_captivity` (range 0.0–1.0) and 4 others.
+
+**Temporal** — `date`, `date_event_entered`, `date_event_modified`.
+
+**Demographic** — `female_aid_workers_killed` (range 0.0–1.0), `male_aid_workers_killed` (range 0.0–3.0), `female_aid_workers_injured` (range 0.0–1.0), `male_aid_workers_injured` (range 0.0–3.0), `female_aid_workers_kidnapped` (range 0.0–3.0) and 3 others.
+
+**Outcome / Measurement** — `organisation_affected` (INGO, LNGO, NGO).
+
+**Identifier / Metadata** — `reported_perpetrator_name` (Unidentified armed actor, Jama'at Nasr al-Islam wal Muslimin, Criminal), `aid_workers_killed` (range 0.0–4.0), `aid_workers_injured` (range 0.0–6.0), `aid_workers_kidnapped` (range 0.0–8.0), `aid_workers_arrested` (range 0.0–5.0) and 12 others.
+
+**Other** — `geo_precision` (censored), `reported_perpetrator` (NSA, No Information, Criminal), `weapon_carried_used` (Firearms, No Information on the Weapon Used, Unspecified IED), `programme_focus` (No information, Health, Multiple).
+
+---
+
+## Quick Start
+
+```python
+from datasets import load_dataset
+
+ds    = load_dataset("electricsheepafrica/africa-mali-violence-against-civilians-and-vital-civilian-facilities")
+train = ds["train"].to_pandas()
+test  = ds["test"].to_pandas()
+
+print(train.shape)
+train.head()
+```
+
+---
+
+## Schema
+
+| Column | Type | Null % | Range / Sample Values |
+|---|---|---|---|
+| `date` | datetime64[ns] | 0.0% |  |
+| `country` | object | 0.0% | Mali |
+| `country_iso` | object | 0.0% | MLI |
+| `admin_1` | object | 0.0% | Mopti, Gao, Timbuktu |
+| `geo_precision` | object | 0.0% | censored |
+| `location_of_incident` | object | 0.0% | Road, No information, Open Space |
+| `reported_perpetrator` | object | 0.0% | NSA, No Information, Criminal |
+| `reported_perpetrator_name` | object | 0.0% | Unidentified armed actor, Jama'at Nasr al-Islam wal Muslimin, Criminal |
+| `weapon_carried_used` | object | 0.0% | Firearms, No Information on the Weapon Used, Unspecified IED |
+| `organisation_affected` | object | 0.0% | INGO, LNGO, NGO |
+| `programme_focus` | object | 0.0% | No information, Health, Multiple |
+| `aid_workers_killed` | int64 | 0.0% | 0.0 – 4.0 (mean 0.2409) |
+| `aid_workers_injured` | int64 | 0.0% | 0.0 – 6.0 (mean 0.3431) |
+| `aid_workers_kidnapped` | int64 | 0.0% | 0.0 – 8.0 (mean 1.6204) |
+| `aid_workers_arrested` | int64 | 0.0% | 0.0 – 5.0 (mean 0.0949) |
+| `known_kidnapping_or_arrest_outcome` | object | 32.8% |  |
+| `aid_workers_killed_in_captivity` | int64 | 0.0% | 0.0 – 1.0 (mean 0.0073) |
+| `international_aid_workers_killed` | int64 | 0.0% | 0.0 – 1.0 (mean 0.0219) |
+| `international_aid_workers_killed_in_captivity` | int64 | 0.0% | 0.0 – 1.0 (mean 0.0073) |
+| `national_aid_workers_killed` | int64 | 0.0% | 0.0 – 3.0 (mean 0.1971) |
+| `national_aid_workers_killed_in_captivity` | int64 | 0.0% | 0.0 – 0.0 (mean 0.0) |
+| `female_aid_workers_killed` | int64 | 0.0% | 0.0 – 1.0 (mean 0.0073) |
+| `female_aid_workers_killed_in_captivity` | int64 | 0.0% | 0.0 – 1.0 (mean 0.0073) |
+| `male_aid_workers_killed` | int64 | 0.0% | 0.0 – 3.0 (mean 0.1168) |
+| `male_aid_workers_killed_in_captivity` | int64 | 0.0% | 0.0 – 0.0 (mean 0.0) |
+| `international_aid_workers_injured` | int64 | 0.0% | 0.0 – 3.0 (mean 0.0365) |
+| `national_aid_workers_injured` | int64 | 0.0% | 0.0 – 5.0 (mean 0.2117) |
+| `female_aid_workers_injured` | int64 | 0.0% | 0.0 – 1.0 (mean 0.0073) |
+| `male_aid_workers_injured` | int64 | 0.0% | 0.0 – 3.0 (mean 0.0803) |
+| `international_aid_workers_kidnapped` | int64 | 0.0% | 0.0 – 4.0 (mean 0.1095) |
+| `national_aid_workers_kidnapped` | int64 | 0.0% | 0.0 – 7.0 (mean 0.9854) |
+| `female_aid_workers_kidnapped` | int64 | 0.0% | 0.0 – 3.0 (mean 0.0949) |
+| `male_aid_workers_kidnapped` | int64 | 0.0% |  |
+| `international_aid_workers_arrested` | int64 | 0.0% |  |
+| `national_aid_workers_arrested` | int64 | 0.0% |  |
+| `female_aid_workers_arrested` | int64 | 0.0% |  |
+| `male_aid_workers_arrested` | int64 | 0.0% |  |
+| `sind_event_id` | int64 | 0.0% |  |
+| `date_event_entered` | datetime64[ns] | 0.0% |  |
+| `date_event_modified` | datetime64[ns] | 0.0% |  |
+| `esa_source` | object | 0.0% |  |
+| `esa_processed` | object | 0.0% |  |
+
+---
+
+## Numeric Summary
+
+| Column | Min | Max | Mean | Median |
+|---|---|---|---|---|
+| `aid_workers_killed` | 0.0 | 4.0 | 0.2409 | 0.0 |
+| `aid_workers_injured` | 0.0 | 6.0 | 0.3431 | 0.0 |
+| `aid_workers_kidnapped` | 0.0 | 8.0 | 1.6204 | 1.0 |
+| `aid_workers_arrested` | 0.0 | 5.0 | 0.0949 | 0.0 |
+| `aid_workers_killed_in_captivity` | 0.0 | 1.0 | 0.0073 | 0.0 |
+| `international_aid_workers_killed` | 0.0 | 1.0 | 0.0219 | 0.0 |
+| `international_aid_workers_killed_in_captivity` | 0.0 | 1.0 | 0.0073 | 0.0 |
+| `national_aid_workers_killed` | 0.0 | 3.0 | 0.1971 | 0.0 |
+| `national_aid_workers_killed_in_captivity` | 0.0 | 0.0 | 0.0 | 0.0 |
+| `female_aid_workers_killed` | 0.0 | 1.0 | 0.0073 | 0.0 |
+| `female_aid_workers_killed_in_captivity` | 0.0 | 1.0 | 0.0073 | 0.0 |
+| `male_aid_workers_killed` | 0.0 | 3.0 | 0.1168 | 0.0 |
+| `male_aid_workers_killed_in_captivity` | 0.0 | 0.0 | 0.0 | 0.0 |
+| `international_aid_workers_injured` | 0.0 | 3.0 | 0.0365 | 0.0 |
+| `national_aid_workers_injured` | 0.0 | 5.0 | 0.2117 | 0.0 |
+
+---
+
+## Curation
+
+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`. 3 column(s) with >80% missing values were removed: `event_description`, `latitude`, `longitude`. The dataset was split 80/20 into train and test partitions using a fixed random seed (42) and saved as Snappy-compressed Parquet.
+
+---
+
+## Limitations
+
+- Data originates from Insecurity Insight and has not been independently validated by ESA.
+- Automated cleaning cannot correct for misreported values, definitional inconsistencies, or sampling bias in the original collection.
+- The following columns have >20% missing values and should be treated with caution in modelling: `known_kidnapping_or_arrest_outcome`.
+- Refer to the [original HDX dataset page](https://data.humdata.org/dataset/mali-violence-against-civilians-and-vital-civilian-facilities) for the publisher's own methodology notes and caveats.
+
+---
+
+## Citation
+
+```bibtex
+@dataset{hdx_africa_mali_violence_against_civilians_and_vital_civilian_facilities,
+  title     = {Mali (MLI): Attacks on Aid Operations, Education, Food and Water Systems and Health Care},
+  author    = {Insecurity Insight},
+  year      = {2026},
+  url       = {https://data.humdata.org/dataset/mali-violence-against-civilians-and-vital-civilian-facilities},
+  note      = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
+}
+```
+
+---
+
+*[Electric Sheep Africa](https://huggingface.co/electricsheepafrica) — Africa's ML dataset infrastructure. Lagos, Nigeria.*