--- license: cc-by-sa-4.0 language: - en task_categories: - tabular-regression - time-series-forecasting multilinguality: monolingual size_categories: - n<1K tags: - tabular - csv - africa - mauritius - official-statistics - open-data - ict pretty_name: "Small Development Projects under Indian Grant | Africa (Mauritius official open data)" --- # Small Development Projects under Indian Grant | Africa (Mauritius official open data) 380 rows - 1 Africa country - 2022-2023 - Repackaged by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica) ![rows](https://img.shields.io/badge/rows-380-blue) ![countries](https://img.shields.io/badge/countries-1-green) ![years](https://img.shields.io/badge/years-2022-2023-orange) ![indicators](https://img.shields.io/badge/indicators-1-purple) ![license](https://img.shields.io/badge/license-cc-by-sa-4.0-lightgrey) ## TL;DR This dataset packages one official CSV resource from **Mauritius** as ML-ready Parquet. The CSV is the provenance boundary; all usable indicators or tabular columns from the source file stay together in this repo. ## About the source - **Source:** [Small Development Projects under Indian Grant](https://data.govmu.org/dataset/small-development-projects-under-indian-grant) - **Publisher:** MDPA - **Resource:** [Small_Dev_Proj_Indian_Grant.csv](https://data.govmu.org/dataset/b69c62c3-ca41-4497-9f68-3adc741b31c7/resource/88633aad-c280-4ae1-972c-e8f8a0f3878c/download/small_dev_proj_indian_grant.csv) - **License:** [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/) - **Packaging mode:** `indicator_long` ## Geographic coverage 1 Africa country: | Country | Rows | First year | Last year | Name | |---------|-----:|-----------:|----------:|------| | `MUS` | 380 | 2022 | 2023 | `Mauritius` | ## Indicators or Resource Contents - `small-development-projects-under-indian-grant-350b7dc6` - Small Development Projects under Indian Grant ## Schema | Column | Type | Description | Example | |--------|------|-------------|---------| | `indicator_id` | `object` | Stable indicator identifier. | `small-development-projects-under-indian-grant-350b7dc6` | | `indicator_name` | `object` | Human-readable indicator name. | `Small Development Projects under Indian Grant` | | `country_iso3` | `object` | ISO3 country code. | `MUS` | | `country_name` | `object` | Country name. | `Mauritius` | | `year` | `Int64` | Observation year. | `2023` | | `value` | `float64` | Numeric observation value. | `12.0` | | `unit` | `object` | Measurement unit, when available. | `source_units_unspecified` | | `dimension_rev` | `string` | Source dimension. | `Project Value` | | `dimension_general_public_services` | `string` | Source dimension. | `District of Port Louis` | | `dimension_project_description` | `string` | Source dimension. | `Upgrading of Bienheureux Pere Laval Football Ground at Ste Croix` | | `dimension_implementing_agency` | `string` | Source dimension. | `Ministry of Local Government and Disaster Risk Management` | | `source_provider` | `object` | Publishing organization. | `MDPA` | | `source_dataset` | `object` | Source package title. | `Small Development Projects under Indian Grant` | | `source_resource` | `object` | Source resource title. | `Small_Dev_Proj_Indian_Grant.csv` | | `source_package_id` | `object` | CKAN package UUID. | `b69c62c3-ca41-4497-9f68-3adc741b31c7` | | `source_resource_id` | `object` | CKAN resource UUID. | `88633aad-c280-4ae1-972c-e8f8a0f3878c` | | `source_url` | `object` | Original CSV URL. | `https://data.govmu.org/dataset/b69c62c3-ca41-4497-9f68-3adc741b31c7/reso` | | `license_id` | `object` | Source license identifier. | `CC-BY-SA-4.0` | | `retrieved_at` | `object` | UTC retrieval timestamp. | `2026-07-16T19:23:24Z` | ## Usage ```python from datasets import load_dataset ds = load_dataset("electricsheepafrica/africa-mauritius-small-development-projects-under-indian-grant-199ea06a") df = ds["train"].to_pandas() print(df.head()) ``` ### Filter to one country ```python sample_country = df[df["country_iso3"] == "MUS"] ``` ### 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_mauritius_small_development_projects_under_indian_grant_199ea06a_2023, title = {Small Development Projects under Indian Grant | Africa (Mauritius official open data)}, author = {MDPA}, year = {2023}, url = {https://data.govmu.org/dataset/small-development-projects-under-indian-grant}, publisher = {HuggingFace Datasets, repackaged by Electric Sheep Africa}, howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-small-development-projects-under-indian-grant-199ea06a}} } ``` ## License Released under [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/). Original data (c) MDPA. 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 2026-07-16 via the Electric Sheep pipeline. Source URL: https://data.govmu.org/dataset/b69c62c3-ca41-4497-9f68-3adc741b31c7/resource/88633aad-c280-4ae1-972c-e8f8a0f3878c/download/small_dev_proj_indian_grant.csv