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electricsheepafrica/africa-10th-parliament-of-uganda

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Hugging Face2026-04-27 更新2026-05-03 收录
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--- annotations_creators: - no-annotation language_creators: - found language: - en license: cc-by-4.0 multilinguality: - monolingual size_categories: - n<1K source_datasets: - original task_categories: - tabular-classification - tabular-regression task_ids: [] tags: - africa - humanitarian - hdx - electric-sheep-africa pretty_name: "10th Parliament of Uganda" dataset_info: splits: - name: train num_examples: 344 - name: test num_examples: 86 --- # 10th Parliament of Uganda **Publisher:** Code for Africa · **Source:** [OpenAfrica](https://open.africa/dataset/10th-parliament-of-uganda) · **License:** `cc-by` · **Updated:** 2023-11-30 --- ## Abstract A comprehensive list of all the representatives in the 10th Parliament of Uganda that will be sworn in 16th-18th May 2016 Each row in this dataset represents tabular records. Data was last updated on OpenAfrica on 2023-11-30. Geographic scope: **Africa (multiple countries)**. *Curated into ML-ready Parquet format by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica).* --- ## Dataset Characteristics | | | |---|---| | **Domain** | Humanitarian and development data | | **Unit of observation** | Tabular records | | **Rows (total)** | 430 | | **Columns** | 14 (1 numeric, 13 categorical, 0 datetime) | | **Train split** | 344 rows | | **Test split** | 86 rows | | **Geographic scope** | Africa (multiple countries) | | **Publisher** | Code for Africa | | **OpenAfrica last updated** | 2023-11-30 | --- ## Variables **Demographic** — `image` (http://www.parliament.go.ug/mpdata/pics/9parl/KATUNTU109.jpg, http://www.parliament.go.ug/mpdata/pics/9parl/KASIBANTE780.jpg, http://www.parliament.go.ug/mpdata/pics/9parl/NSEREKO720.jpg), `gender`. **Identifier / Metadata** — `id` (d62eb222-190e-49a8-9b09-21ad56bf8581, 54920239-58a9-4eb1-ac80-83d72b125207, ddcdd292-bbcf-43dd-aef5-017faa561087), `name` (Abas Agaba, Mukitale Stephen Adyeeri Biraahwa, Muhammad Kivumbi Muwanga), `sort_name` (Abas Agaba, Biraahwa, Mukitale Stephen Adyeeri, Muwanga, Muhammad Kivumbi), `group_id` (NRM, INDEP, FDC), `area_id` (ocd-division/country:ug/region:central, ocd-division/country:ug/region:northern, ocd-division/country:ug/region:national) and 2 others. **Other** — `email` (akatuntu@parliament.go.ug, pmugema@parliament.go.ug, mkasibante@parliament.go.ug), `group` (National Resistance Movement, Independent, Forum for Democratic Change), `area` (Kibale County, Kitagwenda County, Kagoma County), `chamber` (Parliament), `term` (range 10.0–10.0). --- ## Quick Start ```python from datasets import load_dataset ds = load_dataset("electricsheepafrica/africa-10th-parliament-of-uganda") train = ds["train"].to_pandas() test = ds["test"].to_pandas() print(train.shape) train.head() ``` --- ## Schema | Column | Type | Null % | Range / Sample Values | |---|---|---|---| | `id` | object | 0.5% | d62eb222-190e-49a8-9b09-21ad56bf8581, 54920239-58a9-4eb1-ac80-83d72b125207, ddcdd292-bbcf-43dd-aef5-017faa561087 | | `name` | object | 0.5% | Abas Agaba, Mukitale Stephen Adyeeri Biraahwa, Muhammad Kivumbi Muwanga | | `sort_name` | object | 0.5% | Abas Agaba, Biraahwa, Mukitale Stephen Adyeeri, Muwanga, Muhammad Kivumbi | | `email` | object | 62.3% | akatuntu@parliament.go.ug, pmugema@parliament.go.ug, mkasibante@parliament.go.ug | | `group` | object | 2.8% | National Resistance Movement, Independent, Forum for Democratic Change | | `group_id` | object | 0.5% | NRM, INDEP, FDC | | `area_id` | object | 4.0% | ocd-division/country:ug/region:central, ocd-division/country:ug/region:northern, ocd-division/country:ug/region:national | | `area` | object | 32.1% | Kibale County, Kitagwenda County, Kagoma County | | `chamber` | object | 0.5% | Parliament | | `term` | float64 | 0.5% | 10.0 – 10.0 (mean 10.0) | | `image` | object | 61.4% | http://www.parliament.go.ug/mpdata/pics/9parl/KATUNTU109.jpg, http://www.parliament.go.ug/mpdata/pics/9parl/KASIBANTE780.jpg, http://www.parliament.go.ug/mpdata/pics/9parl/NSEREKO720.jpg | | `gender` | object | 0.5% | | | `esa_source` | object | 0.0% | | | `esa_processed` | object | 0.0% | | --- ## Numeric Summary | Column | Min | Max | Mean | Median | |---|---|---|---|---| | `term` | 10.0 | 10.0 | 10.0 | 10.0 | --- ## Curation Raw data was downloaded from OpenAfrica 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`. 4 column(s) with >80% missing values were removed: `twitter`, `facebook`, `start_date`, `end_date`. 54 exact duplicate rows were removed. 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 Code for Africa 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: `email`, `area`, `image`. - Refer to the [original HDX dataset page](https://open.africa/dataset/10th-parliament-of-uganda) for the publisher's own methodology notes and caveats. --- ## Citation ```bibtex @dataset{openafrica_africa_10th_parliament_of_uganda, title = {10th Parliament of Uganda}, author = {Code for Africa}, year = {2023}, url = {https://open.africa/dataset/10th-parliament-of-uganda}, 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.*
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