Upload dataset folder

README.md

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+---
+license: cc-by-sa-4.0
+language:
+- en
+task_categories:
+- tabular-classification
+- tabular-regression
+multilinguality: monolingual
+size_categories:
+- n<1K
+tags:
+- tabular
+- xlsx
+- africa
+- mauritius
+- official-statistics
+- open-data
+- energy
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-00000-of-00001.parquet
+pretty_name: "Sales of electricity by type of tariff | Africa (Mauritius official open data)"
+---
+
+# Sales of electricity by type of tariff | Africa (Mauritius official open data)
+
+163 rows - 1 Africa country - 2017-2021 - Repackaged by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)
+
+![rows](https://img.shields.io/badge/rows-163-blue)
+![countries](https://img.shields.io/badge/countries-1-green)
+![years](https://img.shields.io/badge/years-2017-2021-orange)
+![indicators](https://img.shields.io/badge/indicators-0-purple)
+![license](https://img.shields.io/badge/license-cc-by-sa-4.0-lightgrey)
+
+## TL;DR
+
+This dataset packages one official `XLSX` resource from **Mauritius** as
+ML-ready Parquet. The source file is the provenance boundary; all usable
+indicators or tabular columns from the resource stay together in this repo.
+
+## About the source
+
+- **Source:** [Sales of electricity by type of tariff](https://data.govmu.org/dataset/sales-electricity-type-tariff)
+- **Publisher:** MDPA
+- **Resource:** [Digest_Industrial_Stats_Yr21_281022_sourceFile.xlsx](https://data.govmu.org/dataset/89d7ecdc-fff6-4dce-a4a0-7edcc597b5c7/resource/e754caf8-029f-4b07-bd14-9265052c8860/download/digest_industrial_stats_yr21_281022_sourcefile.xlsx)
+- **Format:** `XLSX`
+- **License:** [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)
+- **Packaging mode:** `tabular_resource`
+
+## Geographic coverage
+
+1 Africa country:
+
+| Country | Rows | First year | Last year | Name |
+|---------|-----:|-----------:|----------:|------|
+| `MU` | 163 | 2017 | 2021 | `Mauritius` |
+
+## Indicators or Resource Contents
+
+- This source file is packaged as a normalized tabular resource.
+
+## Schema
+
+| Column | Type | Description | Example |
+|--------|------|-------------|---------|
+| `source_record_id` | `string` | Stable row identifier for tabular resources. | `e754caf8-029f-4b07-bd14-9265052c8860:symbols-abbreviation-acronym:0` |
+| `country_iso3` | `category` | ISO3 country code. | `MU` |
+| `country_name` | `category` | Country name. | `Mauritius` |
+| `source_sheet` | `string` | Workbook sheet name, when the source is a spreadsheet. | `Symbols, Abbreviation & Acronym` |
+| `column` | `string` | Source column. | `N.A : Not available` |
+| `not_applicable_or_nil` | `string` | Source column. | `` |
+| `source_period_start_year` | `Int64` | First year inferred from source resource metadata. | `2017` |
+| `source_period_end_year` | `Int64` | Last year inferred from source resource metadata. | `2021` |
+| `source_period_label` | `category` | Human-readable period inferred from source resource metadata. | `2017-2021` |
+| `source_provider` | `category` | Publishing organization. | `MDPA` |
+| `source_dataset` | `category` | Source package title. | `Sales of electricity by type of tariff` |
+| `source_resource` | `category` | Source resource title. | `Digest_Industrial_Stats_Yr21_281022_sourceFile.xlsx` |
+| `source_package_id` | `category` | CKAN package UUID. | `89d7ecdc-fff6-4dce-a4a0-7edcc597b5c7` |
+| `source_resource_id` | `category` | CKAN resource UUID. | `e754caf8-029f-4b07-bd14-9265052c8860` |
+| `source_url` | `category` | Original source resource URL. | `https://data.govmu.org/dataset/89d7ecdc-fff6-4dce-a4a0-7edcc597b5c7/reso` |
+| `license_id` | `category` | Source license identifier. | `CC-BY-SA-4.0` |
+| `retrieved_at` | `category` | UTC retrieval timestamp. | `2026-08-08T16:26:20Z` |
+| `d_1_mining_and_quarrying` | `string` | Source column. | `` |
+| `the_activity_of_mining_and_quarrying_comprises_activitie` | `string` | Source column. | `` |
+| `productivity_and_unit_labour_cost_indices` | `string` | Source column. | `` |
+| `introduction` | `string` | Source column. | `` |
+| `d_1_coverage` | `string` | Source column. | `` |
+| `the_industrial_sector_according_to_the_international_rec` | `string` | Source column. | `` |
+| `2017` | `string` | Source column. | `` |
+| `d_872_698676` | `float64` | Source column. | `` |
+| `d_420876` | `float64` | Source column. | `` |
+| `d_951_9582607637849` | `float64` | Source column. | `` |
+| `d_42761` | `float64` | Source column. | `` |
+| `d_755_253732` | `float64` | Source column. | `` |
+| `d_6353` | `float64` | Source column. | `` |
+| `d_38_212101636206356` | `float64` | Source column. | `` |
+| `d_676` | `float64` | Source column. | `` |
+| `d_2618_122770399991` | `float64` | Source column. | `` |
+| `d_470666` | `float64` | Source column. | `` |
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("electricsheepafrica/africa-mauritius-sales-of-electricity-by-type-of-tariff-fc65bded")
+df = ds["train"].to_pandas()
+print(df.head())
+```
+
+### Filter to one country
+
+```python
+sample_country = df[df["country_iso3"] == "MU"]
+```
+
+### 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_sales_of_electricity_by_type_of_tariff_fc65bded_2021,
+  title        = {Sales of electricity by type of tariff | Africa (Mauritius official open data)},
+  author       = {MDPA},
+  year         = {2021},
+  url          = {https://data.govmu.org/dataset/sales-electricity-type-tariff},
+  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
+  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-sales-of-electricity-by-type-of-tariff-fc65bded}}
+}
+```
+
+## 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 2026-08-08 via the Electric Sheep pipeline. Source URL:
+https://data.govmu.org/dataset/89d7ecdc-fff6-4dce-a4a0-7edcc597b5c7/resource/e754caf8-029f-4b07-bd14-9265052c8860/download/digest_industrial_stats_yr21_281022_sourcefile.xlsx

data/train-00000-of-00001.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:7c35e72f3b67688bf4ea55caa8d8d3881a4ee47d009b7a5882e44b2206e5fcbf
+size 34493

metadata/source_snapshot.json

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+{
+  "columns": [
+    "source_record_id",
+    "country_iso3",
+    "country_name",
+    "source_sheet",
+    "column",
+    "not_applicable_or_nil",
+    "source_period_start_year",
+    "source_period_end_year",
+    "source_period_label",
+    "source_provider",
+    "source_dataset",
+    "source_resource",
+    "source_package_id",
+    "source_resource_id",
+    "source_url",
+    "license_id",
+    "retrieved_at",
+    "d_1_mining_and_quarrying",
+    "the_activity_of_mining_and_quarrying_comprises_activitie",
+    "productivity_and_unit_labour_cost_indices",
+    "introduction",
+    "d_1_coverage",
+    "the_industrial_sector_according_to_the_international_rec",
+    "2017",
+    "d_872_698676",
+    "d_420876",
+    "d_951_9582607637849",
+    "d_42761",
+    "d_755_253732",
+    "d_6353",
+    "d_38_212101636206356",
+    "d_676",
+    "d_2618_122770399991",
+    "d_470666"
+  ],
+  "generated_at": "2026-08-08T16:33:00Z",
+  "indicator_count": 0,
+  "mode": "tabular_resource",
+  "repo_id": "electricsheepafrica/africa-mauritius-sales-of-electricity-by-type-of-tariff-fc65bded",
+  "rows": 163,
+  "source": {
+    "api_base_url": "https://data.govmu.org",
+    "country_iso3": "MU",
+    "country_name": "Mauritius",
+    "group_names": "environment-and-natural-resources",
+    "license_id": "CC-BY-SA-4.0",
+    "license_title": "CC-BY-SA-4.0",
+    "license_url": "",
+    "organization_id": "fba989d1-7b9a-4338-901c-978558936a9b",
+    "organization_name": "mdpa",
+    "organization_title": "MDPA",
+    "package_author": "",
+    "package_id": "89d7ecdc-fff6-4dce-a4a0-7edcc597b5c7",
+    "package_maintainer": "Open Data Mauritius",
+    "package_metadata_created": "2024-09-30T12:44:18.643647",
+    "package_metadata_modified": "2026-04-14T17:55:58.829560",
+    "package_name": "sales-electricity-type-tariff",
+    "package_notes": "<p>Data shows electricity sold by type of tariff for the year 2017 to 2021</p>",
+    "package_page_url": "https://data.govmu.org/dataset/sales-electricity-type-tariff",
+    "package_private": "False",
+    "package_state": "active",
+    "package_title": "Sales of electricity by type of tariff",
+    "package_version": "",
+    "portal_url": "https://data.govmu.org",
+    "resource_created": "2024-09-30T12:44:22.381351",
+    "resource_datastore_active": "True",
+    "resource_description": "",
+    "resource_format": "XLSX",
+    "resource_hash": "751ca96741b80af972deb0457cb31dc3",
+    "resource_id": "e754caf8-029f-4b07-bd14-9265052c8860",
+    "resource_last_modified": "2024-09-30T12:44:22.351465",
+    "resource_mimetype": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
+    "resource_name": "Digest_Industrial_Stats_Yr21_281022_sourceFile.xlsx",
+    "resource_position": "3",
+    "resource_size": "41337",
+    "resource_state": "active",
+    "resource_url": "https://data.govmu.org/dataset/89d7ecdc-fff6-4dce-a4a0-7edcc597b5c7/resource/e754caf8-029f-4b07-bd14-9265052c8860/download/digest_industrial_stats_yr21_281022_sourcefile.xlsx",
+    "retrieved_at": "2026-08-08T16:23:36Z",
+    "tag_names": "Commercial; Domestic; ceb; gwh; industrial; tarrif"
+  },
+  "year_max": 2021,
+  "year_min": 2017
+}