Standardize Electric Sheep Africa dataset card

README.md

@@ -1,209 +1,143 @@
 ---
-annotations_creators:
-- no-annotation
-language_creators:
-- found
+license: cc-by-4.0
 language:
 - en
-license: cc-by-4.0
-multilinguality:
-- monolingual
-size_categories:
-- n<1K
-source_datasets:
-- original
 task_categories:
 - tabular-classification
-- other
-task_ids: []
+- tabular-regression
+multilinguality: monolingual
+size_categories:
+- n<1K
 tags:
-- africa
-- humanitarian
-- hdx
-- electric-sheep-africa
-- conflict-violence
-- hxl
-- tza
-pretty_name: "United Republic of Tanzania - Data on Conflict Events"
-dataset_info:
-  splits:
-    - name: train
-      num_examples: 41
-    - name: test
-      num_examples: 10
+- "africa"
+- "electric-sheep-africa"
+- "open-data"
+- "metadata-backed"
+- "governance-security"
+- "parquet"
+- "tabular"
+- "text"
+- "humanitarian"
+- "hdx"
+- "conflict-violence"
+- "hxl"
+- "tza"
+- "conflict"
+- "violence"
+pretty_name: "United Republic of Tanzania - Data on Conflict Events | Africa (original)"
 ---
 
-# United Republic of Tanzania - Data on Conflict Events
+# United Republic of Tanzania - Data on Conflict Events | Africa (original)
 
-**Publisher:** HDX · **Source:** [HDX](https://data.humdata.org/dataset/ucdp-data-for-united-republic-of-tanzania) · **License:** `cc-by-igo` · **Updated:** 2026-04-03
+**Size category:** `n<1K` - **Formats:** `parquet` - **Sector:** governance_security - *Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)*
 
----
+![size](https://img.shields.io/badge/size-n%3C1K-blue)
+![sector](https://img.shields.io/badge/sector-governance_security-green)
+![downloads](https://img.shields.io/badge/HF_downloads-204-orange)
+![license](https://img.shields.io/badge/license-cc--by--4.0-lightgrey)
 
-## Abstract
+## TL;DR
 
-This dataset is UCDP's most disaggregated dataset, covering individual events of organized violence (phenomena of lethal violence occurring at a given time and place). These events are sufficiently fine-grained to be geo-coded down to the level of individual villages, with temporal durations disaggregated to single, individual days.  
-Sundberg, Ralph, and Erik Melander, 2013, “Introducing the UCDP Georeferenced Event Dataset”, Journal of Peace Research, vol.50, no.4, 523-532  
-Högbladh Stina, 2019, “UCDP GED Codebook version 19.1”, Department of Peace and Conflict Research, Uppsala University
+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.
 
-Each row in this dataset represents first-level administrative unit observations. Temporal coverage is indicated by the `date_start`, `date_end` column(s). Geographic scope: **TZA**.
+## What This Dataset Covers
 
-*Curated into ML-ready Parquet format by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica).*
+Public datasets help analysts inspect structured evidence, build reproducible workflows, and compare patterns across domains.
 
----
+Dataset context from the existing Hugging Face card: United Republic of Tanzania - Data on Conflict Events Publisher: HDX · Source: HDX · License: cc-by-igo · Updated: 2026-04-03 Abstract This dataset is UCDP's most disaggregated dataset, covering individual events of organized violence (phenomena of lethal violence occurring at a given time and place). These events are sufficiently fine-grained to be geo-coded down to the level of individual villages, with temporal durations disaggregated to single, individual… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-ucdp-data-for-united-republic-of-tanzania.
 
-## Dataset Characteristics
+## Dataset Profile
 
-| | |
+| Field | Value |
 |---|---|
-| **Domain** | Conflict and security |
-| **Unit of observation** | First-level administrative unit observations |
-| **Rows (total)** | 52 |
-| **Columns** | 51 (27 numeric, 21 categorical, 2 datetime) |
-| **Train split** | 41 rows |
-| **Test split** | 10 rows |
-| **Geographic scope** | TZA |
-| **Publisher** | HDX |
-| **HDX last updated** | 2026-04-03 |
-
----
-
-## Variables
-
-**Geographic** — `year` (range 1992.0–2024.0), `active_year`, `type_of_violence` (range 1.0–3.0), `dyad_dset_id` (range 92.0–16474.0), `dyad_new_id` (range 937.0–16474.0) and 9 others.
-
-**Temporal** — `source_date` (2021-11-30, 2022-10-11, 2021-12-15), `date_prec` (range 1.0–5.0), `date_start`, `date_end`.
-
-**Outcome / Measurement** — `number_of_sources` (range -1.0–5.0), `deaths_a` (range 0.0–3.0), `deaths_b`, `deaths_civilians`, `deaths_unknown`.
-
-**Identifier / Metadata** — `id` (range 10520.0–555794.0), `relid` (TAZ-1992-3-510-1, TAZ-1999-3-510-1, TAZ-2020-3-937-5), `code_status` (Clear), `conflict_dset_id` (range 92.0–15183.0), `conflict_new_id` (range 470.0–15183.0) and 14 others.
-
-**Other** — `where_prec` (range 1.0–6.0), `where_description`, `adm_1`, `adm_2`, `geom_wkt` and 4 others.
-
----
-
-## Quick Start
+| Hugging Face repo | [`electricsheepafrica/africa-ucdp-data-for-united-republic-of-tanzania`](https://huggingface.co/datasets/electricsheepafrica/africa-ucdp-data-for-united-republic-of-tanzania) |
+| Sector | governance_security |
+| Topic tags | humanitarian, hdx, electric-sheep-africa, conflict-violence, hxl, tza |
+| Modalities | `tabular`, `text` |
+| Formats | `parquet` |
+| Size category | `n<1K` |
+| Countries | Tanzania |
+| ISO3 coverage | `TZA` |
+| Last modified on HF | `2026-04-12 10:24:13+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
 
 ```python
 from datasets import load_dataset
 
-ds    = load_dataset("electricsheepafrica/africa-ucdp-data-for-united-republic-of-tanzania")
-train = ds["train"].to_pandas()
-test  = ds["test"].to_pandas()
+ds = load_dataset("electricsheepafrica/africa-ucdp-data-for-united-republic-of-tanzania")
+print(ds)
 
-print(train.shape)
-train.head()
+split_name = next(iter(ds))
+table = ds[split_name]
+print(table.features)
+print(table[:3])
 ```
 
----
-
-## Schema
-
-| Column | Type | Null % | Range / Sample Values |
-|---|---|---|---|
-| `id` | int64 | 0.0% | 10520.0 – 555794.0 (mean 332450.5) |
-| `relid` | object | 0.0% | TAZ-1992-3-510-1, TAZ-1999-3-510-1, TAZ-2020-3-937-5 |
-| `year` | int64 | 0.0% | 1992.0 – 2024.0 (mean 2015.5769) |
-| `active_year` | bool | 0.0% |  |
-| `code_status` | object | 0.0% | Clear |
-| `type_of_violence` | int64 | 0.0% | 1.0 – 3.0 (mean 2.7115) |
-| `conflict_dset_id` | int64 | 0.0% | 92.0 – 15183.0 (mean 2250.0192) |
-| `conflict_new_id` | int64 | 0.0% | 470.0 – 15183.0 (mean 2541.4615) |
-| `conflict_name` | object | 0.0% | Government of Tanzania - Civilians, Tanzania: Islamic State, IS - Civilians |
-| `dyad_dset_id` | int64 | 0.0% | 92.0 – 16474.0 (mean 2423.8077) |
-| `dyad_new_id` | int64 | 0.0% | 937.0 – 16474.0 (mean 3122.1346) |
-| `dyad_name` | object | 0.0% | Government of Tanzania - Civilians, Government of Tanzania - IS, IS - Civilians |
-| `side_a_dset_id` | int64 | 0.0% | 92.0 – 528.0 (mean 120.5962) |
-| `side_a_new_id` | int64 | 0.0% | 92.0 – 528.0 (mean 120.5962) |
-| `side_a` | object | 0.0% | Government of Tanzania, IS, Government of Burundi |
-| `side_b_dset_id` | int64 | 0.0% | 234.0 – 9999.0 (mean 8500.5) |
-| `side_b_new_id` | int64 | 0.0% | 1.0 – 432.0 (mean 40.6538) |
-| `side_b` | object | 0.0% | Civilians, IS, Palipehutu-FNL |
-| `number_of_sources` | int64 | 0.0% | -1.0 – 5.0 (mean 1.0385) |
-| `source_article` | object | 0.0% | "AllAfrica,2021-11-30,Tanzania - No Justice for Zanzibar Election Violence
-CR 	Human Rights Watch", HRW, 2002 April, "The bullets were raining", http://www.hrw.org/legacy/reports/2002/tanzania/zanz0402.pdf, "MiningWatch,2022-10-11,“He was murdered” : Violence against Kuria High after Barrick Takeover of Mine" |
-| `source_office` | object | 17.3% | AllAfrica, CABO LIGADO, MiningWatch |
-| `source_date` | object | 17.3% | 2021-11-30, 2022-10-11, 2021-12-15 |
-| `source_headline` | object | 17.3% | Tanzania - No Justice for Zanzibar Election Violence
-CR 	Human Rights Watch, “He was murdered” : Violence against Kuria High after Barrick Takeover of Mine, Cabo Ligado Weekly: 6-12 December |
-| `source_original` | object | 3.8% |  |
-| `where_prec` | int64 | 0.0% | 1.0 – 6.0 (mean 1.4231) |
-| `where_coordinates` | object | 0.0% |  |
-| `where_description` | object | 7.7% |  |
-| `adm_1` | object | 3.8% |  |
-| `adm_2` | object | 5.8% |  |
-| `latitude` | float64 | 0.0% | -11.405 – -1.4289 (mean -6.1491) |
-| `longitude` | float64 | 0.0% | 29.7567 – 40.2796 (mean 37.6266) |
-| `geom_wkt` | object | 0.0% |  |
-| `priogrid_gid` | int64 | 0.0% | 113477.0 – 127870.0 (mean 120855.8269) |
-| `country` | object | 0.0% |  |
-| `iso3` | object | 0.0% |  |
-| `country_id` | int64 | 0.0% | 510.0 – 510.0 (mean 510.0) |
-| `region` | object | 0.0% |  |
-| `event_clarity` | int64 | 0.0% | 1.0 – 2.0 (mean 1.1346) |
-| `date_prec` | int64 | 0.0% | 1.0 – 5.0 (mean 1.7692) |
-| `date_start` | datetime64[ns] | 0.0% |  |
-| `date_end` | datetime64[ns] | 0.0% |  |
-| `deaths_a` | int64 | 0.0% | 0.0 – 3.0 (mean 0.1731) |
-| `deaths_b` | int64 | 0.0% |  |
-| `deaths_civilians` | int64 | 0.0% |  |
-| `deaths_unknown` | int64 | 0.0% |  |
-| `best` | int64 | 0.0% |  |
-| `high` | int64 | 0.0% |  |
-| `low` | int64 | 0.0% |  |
-| `gwnoa` | float64 | 13.5% |  |
-| `esa_source` | object | 0.0% |  |
-| `esa_processed` | object | 0.0% |  |
+### Convert To Pandas When Tabular
 
----
-
-## Numeric Summary
-
-| Column | Min | Max | Mean | Median |
-|---|---|---|---|---|
-| `id` | 10520.0 | 555794.0 | 332450.5 | 421995.5 |
-| `year` | 1992.0 | 2024.0 | 2015.5769 | 2020.0 |
-| `type_of_violence` | 1.0 | 3.0 | 2.7115 | 3.0 |
-| `conflict_dset_id` | 92.0 | 15183.0 | 2250.0192 | 92.0 |
-| `conflict_new_id` | 470.0 | 15183.0 | 2541.4615 | 470.0 |
-| `dyad_dset_id` | 92.0 | 16474.0 | 2423.8077 | 92.0 |
-| `dyad_new_id` | 937.0 | 16474.0 | 3122.1346 | 937.0 |
-| `side_a_dset_id` | 92.0 | 528.0 | 120.5962 | 92.0 |
-| `side_a_new_id` | 92.0 | 528.0 | 120.5962 | 92.0 |
-| `side_b_dset_id` | 234.0 | 9999.0 | 8500.5 | 9999.0 |
-| `side_b_new_id` | 1.0 | 432.0 | 40.6538 | 1.0 |
-| `number_of_sources` | -1.0 | 5.0 | 1.0385 | 1.0 |
-| `where_prec` | 1.0 | 6.0 | 1.4231 | 1.0 |
-| `latitude` | -11.405 | -1.4289 | -6.1491 | -6.0667 |
-| `longitude` | 29.7567 | 40.2796 | 37.6266 | 39.2833 |
+```python
+from datasets import Dataset
 
----
+first_split = ds[next(iter(ds))]
+if isinstance(first_split, Dataset):
+    df = first_split.to_pandas()
+    print(df.head())
+```
 
-## Curation
+## Data Quality Notes
 
-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`. 1 column(s) with >80% missing values were removed: `gwnob`. 2 column(s) were cast from string to numeric or datetime based on parse-success rate (>85% threshold). The dataset was split 80/20 into train and test partitions using a fixed random seed (42) and saved as Snappy-compressed Parquet.
+- 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: upstream_publisher.
+- Do not infer policy meaning from labels alone; confirm definitions, units, and methods in the source material.
 
----
+## Source And Provenance
 
-## Limitations
+- **Source context:** original
+- **Publisher/source attribution:** original
+- **License:** [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)
+- **Hugging Face URL:** [https://huggingface.co/datasets/electricsheepafrica/africa-ucdp-data-for-united-republic-of-tanzania](https://huggingface.co/datasets/electricsheepafrica/africa-ucdp-data-for-united-republic-of-tanzania)
+- **Inventory retrieved at:** `2026-07-16T16:00:34Z`
 
-- Data originates from HDX and has not been independently validated by ESA.
-- Automated cleaning cannot correct for misreported values, definitional inconsistencies, or sampling bias in the original collection.
-- Refer to the [original HDX dataset page](https://data.humdata.org/dataset/ucdp-data-for-united-republic-of-tanzania) for the publisher's own methodology notes and caveats.
+## 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
 
 ```bibtex
-@dataset{hdx_africa_ucdp_data_for_united_republic_of_tanzania,
-  title     = {United Republic of Tanzania - Data on Conflict Events},
-  author    = {HDX},
-  year      = {2026},
-  url       = {https://data.humdata.org/dataset/ucdp-data-for-united-republic-of-tanzania},
-  note      = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
+@misc{electric_sheep_africa_africa_ucdp_data_for_united_republic_of_tanzania_2026,
+  title        = {United Republic of Tanzania - Data on Conflict Events | Africa (original)},
+  author       = {original},
+  year         = {2026},
+  url          = {https://huggingface.co/datasets/electricsheepafrica/africa-ucdp-data-for-united-republic-of-tanzania},
+  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
+  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-ucdp-data-for-united-republic-of-tanzania}}
 }
 ```
 
+## License
+
+Released under [CC BY 4.0](https://creativecommons.org/licenses/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.
+
 ---
 
-*[Electric Sheep Africa](https://huggingface.co/electricsheepafrica) — Africa's ML dataset infrastructure. Lagos, Nigeria.*
+Provenance: metadata-backed README standardized 2026-08-12 by the Electric Sheep Africa README system. Inventory source: `catalog/esa_metadata_inventory/master_metadata.jsonl`.