Add ML-ready official indicator dataset

README.md

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+---
+license: cc-by-4.0
+language:
+- en
+task_categories:
+- tabular-classification
+- tabular-regression
+multilinguality: monolingual
+size_categories:
+- n<1K
+tags:
+- tabular
+- csv
+- africa
+- rwanda
+- data-gov-rw
+- rwanda-data-sharing-platform
+- nisr
+- official-statistics
+- open-data
+- national-statistics
+- health
+- aggregated-data
+- demographics
+- social-protection
+pretty_name: "Prevalence of Malaria in Women (2019-2020) | Africa (Rwanda Data Sharing Platform - NISR)"
+---
+
+# Prevalence of Malaria in Women (2019-2020) | Africa (Rwanda Data Sharing Platform - NISR)
+
+23 rows - 1 Africa country - 2019-10-01-2020-10-30 - Repackaged by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)
+
+![rows](https://img.shields.io/badge/rows-23-blue)
+![countries](https://img.shields.io/badge/countries-1-green)
+![years](https://img.shields.io/badge/years-2019-10-01-2020-10-30-orange)
+![indicators](https://img.shields.io/badge/indicators-0-purple)
+![license](https://img.shields.io/badge/license-cc-by-4.0-lightgrey)
+
+## TL;DR
+
+This dataset packages one public table from Rwanda's official Data Sharing
+Platform as ML-ready Parquet. The source package is the provenance boundary:
+all usable source columns from this table stay together in this repo.
+
+## About the source
+
+- **Source:** [Prevalence of Malaria in Women (2019-2020)](https://api.data.gov.rw/api/v1/datasets/public/4741cb16-4f3c-4112-9cab-8564bbddd5ca)
+- **Publisher:** NISR
+- **Portal:** [Rwanda Data Sharing Platform](https://data.gov.rw/)
+- **Dataset ID:** `4741cb16-4f3c-4112-9cab-8564bbddd5ca`
+- **Schema:** `DHS6_Final_Report`
+- **Table:** `dhs6_final_report_table12.16`
+- **Sectors:** National Statistics, Health
+- **Source tags:** Aggregated data
+- **Period:** 2019-10-01-2020-10-30
+- **Resource:** [CSV package](https://api.data.gov.rw/api/v1/datasets/public/4741cb16-4f3c-4112-9cab-8564bbddd5ca/download?format=csv)
+- **License:** [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)
+- **Packaging mode:** `tabular_resource`
+
+## Source description
+
+Summary: This aggregated data table contains data on the prevalence of malaria in women. This data was collected in the sixth Rwanda Demographic and Health Survey (DHS6), 2019-2020. The DHS6 (or RDHS-VI) involved interviewing a randomly selected group of women who are between 15 and 49 years of age. Additionally, a sub-sample of randomly selected men between 15 and 59 years of age were interviewed in one household in every two selected for the female survey. Geographic Coverage: The Rwanda Demographic and Health Survey 2019-2020 was a nation-wide survey (Rwanda). Time Period: Data collection began on 2019-10-01 and ended on 2020-10-30. Frequency: The Rwanda Demographic and Health Survey takes place every 5 years. The 2019-20 Rwanda Demographic and Health Survey (2019-20 RDHS) follows those implemented in 1992, 2000, 2005, 2010, and 2014-15. Population/Units: This sample survey covered men aged 15-59 years, Women aged 15-49 and Children aged 0-5 years. The unit analysis of this survey are households and individuals. Key variables: RDT positive, Microscopy positive Purpose: The Rwanda Demographic and Health Survey provides key information on population, family planning, maternal and child health, child survival, HIV/AIDS and sexually transmitted infections (STIs), reproductive health, and nutrition in Rwanda. Data Quality Notes: The household response rate was 99%; the individual women's response rate was 99%, and the individual men's response rate was also 99%. More details are available in the survey documentation.
+
+## Geographic coverage
+
+1 Africa country:
+
+| Country | Rows | First year | Last year | Name |
+|---------|-----:|-----------:|----------:|------|
+| `RWA` | 23 | n/a | n/a | `Rwanda` |
+
+## Indicators or Resource Contents
+
+- This source package is published as a normalized tabular resource.
+
+## Schema
+
+| Column | Type | Description | Example |
+|--------|------|-------------|---------|
+| `source_record_id` | `string` | Stable row identifier assigned during Electric Sheep Africa packaging. | `4741cb16-4f3c-4112-9cab-8564bbddd5ca:0` |
+| `country_iso3` | `string` | ISO3 country code. | `RWA` |
+| `country_name` | `string` | Country name. | `Rwanda` |
+| `id` | `int64` | Row ID | `1` |
+| `background_characteristic` | `string` | Background characteristic | `Age: 15-19` |
+| `rdt_positive` | `float64` | RDT positive | `1.7` |
+| `rdt_number_of_women` | `int64` | RDT - Number of women | `1620` |
+| `microscopy_positive` | `float64` | Microscopy positive | `0.8` |
+| `microscopy_number_of_women` | `int64` | Microscopy - Number of women | `1620` |
+| `source_provider` | `string` | Publishing organization. | `NISR` |
+| `source_dataset` | `string` | Source dataset title. | `Prevalence of Malaria in Women (2019-2020)` |
+| `source_resource` | `string` | Source table name. | `dhs6_final_report_table12.16` |
+| `source_package_id` | `string` | Rwanda Data Sharing Platform dataset UUID. | `4741cb16-4f3c-4112-9cab-8564bbddd5ca` |
+| `source_resource_id` | `string` | Rwanda Data Sharing Platform dataset UUID. | `4741cb16-4f3c-4112-9cab-8564bbddd5ca` |
+| `source_url` | `string` | Original source download URL. | `https://api.data.gov.rw/api/v1/datasets/public/4741cb16-4f3c-4112-9cab-...` |
+| `license_id` | `string` | Source license identifier. | `cc-by-4.0` |
+| `retrieved_at` | `string` | UTC retrieval timestamp. | `2026-07-18T10:37:04Z` |
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("electricsheepafrica/africa-rwanda-prevalence-of-malaria-in-women-2019-2020-1dbef4ed")
+df = ds["train"].to_pandas()
+print(df.head())
+```
+
+### Filter to Rwanda
+
+```python
+rwanda = df[df["country_iso3"] == "RWA"]
+```
+
+### Work with indicators
+
+```python
+if "indicator_id" in df.columns:
+    print(df["indicator_id"].value_counts().head())
+    sample = df.sort_values([c for c in ["indicator_id", "year"] if c in df.columns])
+```
+
+## Citation
+
+```bibtex
+@misc{electric_sheep_africa_africa_rwanda_prevalence_of_malaria_in_women_2019_2020_1dbef4ed_2026,
+  title        = {Prevalence of Malaria in Women (2019-2020) | Africa (Rwanda Data Sharing Platform - NISR)},
+  author       = {NISR},
+  year         = {2026},
+  url          = {https://api.data.gov.rw/api/v1/datasets/public/4741cb16-4f3c-4112-9cab-8564bbddd5ca},
+  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
+  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-rwanda-prevalence-of-malaria-in-women-2019-2020-1dbef4ed}}
+}
+```
+
+## License
+
+Released under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/).
+
+Original data (c) NISR. When using this dataset, please cite both the
+original source above and the Electric Sheep Africa repackaging.
+
+## About Electric Sheep
+
+Electric Sheep Africa is part of the Electric Sheep mission: a unified,
+ML-ready data layer for Africa on Hugging Face. We pull data from authoritative
+open sources, normalize the schemas, package as Parquet, and publish with
+consistent dataset cards so researchers and developers can use `load_dataset()`
+to start working in seconds.
+
+Browse the full collection: [huggingface.co/electricsheepafrica](https://huggingface.co/electricsheepafrica)
+
+---
+
+Provenance: ingested 2026-07-18 via the Electric Sheep pipeline. Source URL:
+https://api.data.gov.rw/api/v1/datasets/public/4741cb16-4f3c-4112-9cab-8564bbddd5ca/download?format=csv

data/train-00000-of-00001.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:8aca2931b4260cdd90df36812c00cc05857870433c0a5ef84fec823190f6be09
+size 12976

metadata/source_package_metadata.csv

@@ -0,0 +1,7 @@
+column_name,data_type,description
+id,INT,Row ID
+background_characteristic,TEXT,Background characteristic
+rdt_positive,NUMERIC,RDT positive
+rdt_number_of_women,TEXT,RDT - Number of women
+microscopy_positive,NUMERIC,Microscopy positive
+microscopy_number_of_women,TEXT,Microscopy - Number of women

metadata/source_snapshot.json

@@ -0,0 +1,162 @@
+{
+  "columns": [
+    "source_record_id",
+    "country_iso3",
+    "country_name",
+    "id",
+    "background_characteristic",
+    "rdt_positive",
+    "rdt_number_of_women",
+    "microscopy_positive",
+    "microscopy_number_of_women",
+    "source_provider",
+    "source_dataset",
+    "source_resource",
+    "source_package_id",
+    "source_resource_id",
+    "source_url",
+    "license_id",
+    "retrieved_at"
+  ],
+  "generated_at": "2026-07-18T10:37:18Z",
+  "indicator_count": 0,
+  "mode": "tabular_resource",
+  "repo_id": "electricsheepafrica/africa-rwanda-prevalence-of-malaria-in-women-2019-2020-1dbef4ed",
+  "rows": 23,
+  "rwanda_public_dataset": {
+    "classification": "PUBLIC",
+    "columns": [
+      {
+        "columnName": "id",
+        "createdAt": "2026-07-09T22:22:21.693Z",
+        "dataType": "INT",
+        "description": "<p>Row ID</p>",
+        "id": "f57c5698-69cd-43b4-be2d-8a6865ea6077",
+        "tags": null,
+        "updatedAt": "2026-07-09T22:22:21.693Z"
+      },
+      {
+        "columnName": "background_characteristic",
+        "createdAt": "2026-07-09T22:22:21.693Z",
+        "dataType": "TEXT",
+        "description": "<p>Background characteristic</p>",
+        "id": "4656882f-cb29-41c2-bf68-677e2db60133",
+        "tags": null,
+        "updatedAt": "2026-07-09T22:22:21.693Z"
+      },
+      {
+        "columnName": "rdt_positive",
+        "createdAt": "2026-07-09T22:22:21.693Z",
+        "dataType": "NUMERIC",
+        "description": "<p>RDT positive</p>",
+        "id": "7ff8da73-33dd-4110-b7c7-2200cb8f3d9d",
+        "tags": null,
+        "updatedAt": "2026-07-09T22:22:21.693Z"
+      },
+      {
+        "columnName": "rdt_number_of_women",
+        "createdAt": "2026-07-09T22:22:21.693Z",
+        "dataType": "TEXT",
+        "description": "<p>RDT - Number of women</p>",
+        "id": "f32d07de-2c17-4f60-8506-a3d80fa9c73f",
+        "tags": null,
+        "updatedAt": "2026-07-09T22:22:21.693Z"
+      },
+      {
+        "columnName": "microscopy_positive",
+        "createdAt": "2026-07-09T22:22:21.693Z",
+        "dataType": "NUMERIC",
+        "description": "<p>Microscopy positive</p>",
+        "id": "b9eb644a-23ec-4c7d-822e-025994052884",
+        "tags": null,
+        "updatedAt": "2026-07-09T22:22:21.693Z"
+      },
+      {
+        "columnName": "microscopy_number_of_women",
+        "createdAt": "2026-07-09T22:22:21.693Z",
+        "dataType": "TEXT",
+        "description": "<p>Microscopy - Number of women</p>",
+        "id": "74ed4143-4049-4314-8b7a-49fd26780eb6",
+        "tags": null,
+        "updatedAt": "2026-07-09T22:22:21.693Z"
+      }
+    ],
+    "createdAt": "2026-05-08T08:00:18.179Z",
+    "customTags": [
+      "Aggregated data"
+    ],
+    "databaseName": "datasharing_platform",
+    "datasetFileId": null,
+    "datasetType": "TABLE",
+    "description": "<p><strong>Summary: </strong>This aggregated data table contains data on the prevalence of malaria in women. This data was collected in the sixth Rwanda Demographic and Health Survey (DHS6), 2019-2020. The DHS6 (or RDHS-VI) involved interviewing a randomly selected group of women who are between 15 and 49 years of age. Additionally, a sub-sample of randomly selected men between 15 and 59 years of age were interviewed in one household in every two selected for the female survey.</p><p><strong>Geographic Coverage: </strong>The Rwanda Demographic and Health Survey 2019-2020 was a nation-wide survey (Rwanda).</p><p><strong>Time Period: </strong>Data collection began on 2019-10-01 and ended on 2020-10-30.</p><p><strong>Frequency:</strong> The Rwanda Demographic and Health Survey takes place every 5 years. The 2019-20 Rwanda Demographic and Health Survey (2019-20 RDHS) follows those implemented in 1992, 2000, 2005, 2010, and 2014-15.</p><p><strong>Population/Units: </strong>This sample survey covered men aged 15-59 years, Women aged 15-49 and Children aged 0-5 years. The unit analysis of this survey are households and individuals.</p><p><strong>Key variables: </strong>RDT positive, Microscopy positive</p><p><strong>Purpose: </strong>The Rwanda Demographic and Health Survey provides key information on population, family planning, maternal and child health, child survival, HIV/AIDS and sexually transmitted infections (STIs), reproductive health, and nutrition in Rwanda.</p><p><strong>Data Quality Notes:</strong> The household response rate was 99%; the individual women's response rate was 99%, and the individual men's response rate was also 99%. More details are available in the survey documentation.</p>",
+    "displayName": "Prevalence of Malaria in Women (2019-2020)",
+    "downloadCount": 20,
+    "downloadFormats": [
+      {
+        "format": "csv",
+        "label": "CSV"
+      },
+      {
+        "format": "json",
+        "label": "JSON"
+      },
+      {
+        "format": "xlsx",
+        "label": "Excel"
+      }
+    ],
+    "id": "4741cb16-4f3c-4112-9cab-8564bbddd5ca",
+    "isPublished": true,
+    "organization": {
+      "id": "8998f38d-c75b-4861-9a0c-5ed451f7c88b",
+      "infoEmail": null,
+      "name": "NISR"
+    },
+    "organizationDataSourceId": "4782664b-0c74-4bcd-bffd-6c5dd1d8db5d",
+    "periodBegin": "2019-10-01",
+    "periodEnd": "2020-10-30",
+    "queryDefinition": null,
+    "schemaDescription": "<p><strong>Summary: </strong>The sixth Rwanda Demographic and Health Survey (DHS6), 2019-2020, is a national sample survey designed to provide information on population, family planning, maternal and child health, child survival, HIV/AIDS and sexually transmitted infections (STIs), reproductive health, and nutrition in Rwanda. The DHS6 (or RDHS-VI) involved interviewing a randomly selected group of women who are between 15 and 49 years of age. Additionally, a sub-sample of randomly selected men between 15 and 59 years of age were interviewed in one household in every two selected for the female survey.</p><p><strong>Geographic Coverage: </strong>The Rwanda Demographic and Health Survey 2019-2020 was a nation-wide survey (Rwanda).</p><p><strong>Time Period: </strong>Data collection began on 2019-10-01 and ended on 2020-10-30.</p><p><strong>Frequency:</strong> The Rwanda Demographic and Health Survey takes place every 5 years. The 2019-20 Rwanda Demographic and Health Survey (2019-20 RDHS) follows those implemented in 1992, 2000, 2005, 2010, and 2014-15.</p><p><strong>Population/Units: </strong>This sample survey covered men aged 15-59 years, Women aged 15-49 and Children aged 0-5 years. The unit analysis of this survey are households and individuals.</p><p><strong>Purpose: </strong>The Rwanda Demographic and Health Survey provides key information on population, family planning, maternal and child health, child survival, HIV/AIDS and sexually transmitted infections (STIs), reproductive health, and nutrition in Rwanda.</p><p><strong>Data Quality Notes:</strong> The household response rate was 99%; the individual women's response rate was 99%, and the individual men's response rate was also 99%. More details are available in the survey documentation.</p>",
+    "schemaName": "DHS6_Final_Report",
+    "sectors": [
+      {
+        "id": "46a2106c-9d73-44e5-b2f0-700bb3f6dc1e",
+        "name": "National Statistics"
+      },
+      {
+        "id": "2056d1fd-8dd7-4bf7-88bc-bff337eb7219",
+        "name": "Health"
+      }
+    ],
+    "tableName": "dhs6_final_report_table12.16",
+    "tags": null,
+    "updatedAt": "2026-07-18T09:56:52.584Z"
+  },
+  "source": {
+    "country_iso3": "RWA",
+    "country_name": "Rwanda",
+    "dataset_type": "TABLE",
+    "group_names": "National Statistics Health",
+    "license_id": "cc-by-4.0",
+    "organization_title": "NISR",
+    "package_id": "4741cb16-4f3c-4112-9cab-8564bbddd5ca",
+    "package_page_url": "https://api.data.gov.rw/api/v1/datasets/public/4741cb16-4f3c-4112-9cab-8564bbddd5ca",
+    "package_title": "Prevalence of Malaria in Women (2019-2020)",
+    "period_begin": "2019-10-01",
+    "period_end": "2020-10-30",
+    "portal_url": "https://data.gov.rw/",
+    "resource_format": "CSV",
+    "resource_id": "4741cb16-4f3c-4112-9cab-8564bbddd5ca",
+    "resource_name": "dhs6_final_report_table12.16",
+    "resource_url": "https://api.data.gov.rw/api/v1/datasets/public/4741cb16-4f3c-4112-9cab-8564bbddd5ca/download?format=csv",
+    "schema_name": "DHS6_Final_Report",
+    "table_name": "dhs6_final_report_table12.16",
+    "tag_names": "Aggregated data DHS6_Final_Report dhs6_final_report_table12.16"
+  },
+  "source_package_files": [
+    "dataset/dhs6_final_report_table12.csv",
+    "metadata.csv"
+  ],
+  "year_max": null,
+  "year_min": null
+}