Upload dataset folder
Browse files- README.md +180 -0
- data/train-00000-of-00001.parquet +3 -0
- metadata/source_snapshot.json +106 -0
README.md
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| 1 |
+
---
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| 2 |
+
license: cc-by-sa-4.0
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| 3 |
+
language:
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| 4 |
+
- en
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| 5 |
+
task_categories:
|
| 6 |
+
- tabular-classification
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| 7 |
+
- tabular-regression
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| 8 |
+
multilinguality: monolingual
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| 9 |
+
size_categories:
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| 10 |
+
- n<1K
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| 11 |
+
tags:
|
| 12 |
+
- tabular
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| 13 |
+
- xlsx
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| 14 |
+
- africa
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| 15 |
+
- mauritius
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| 16 |
+
- official-statistics
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| 17 |
+
- open-data
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| 18 |
+
configs:
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| 19 |
+
- config_name: default
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| 20 |
+
data_files:
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| 21 |
+
- split: train
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| 22 |
+
path: data/train-00000-of-00001.parquet
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| 23 |
+
pretty_name: "Water sales by tariff of subscriber | Africa (Mauritius official open data)"
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| 24 |
+
---
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| 25 |
+
|
| 26 |
+
# Water sales by tariff of subscriber | Africa (Mauritius official open data)
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| 27 |
+
|
| 28 |
+
28 rows - 1 Africa country - 2016-2022 - Repackaged by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)
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| 29 |
+
|
| 30 |
+

|
| 31 |
+

|
| 32 |
+

|
| 33 |
+

|
| 34 |
+

|
| 35 |
+
|
| 36 |
+
## TL;DR
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| 37 |
+
|
| 38 |
+
This dataset packages one official `XLSX` resource from **Mauritius** as
|
| 39 |
+
ML-ready Parquet. The source file is the provenance boundary; all usable
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| 40 |
+
indicators or tabular columns from the resource stay together in this repo.
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| 41 |
+
|
| 42 |
+
## About the source
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| 43 |
+
|
| 44 |
+
- **Source:** [Water sales by tariff of subscriber](https://data.govmu.org/dataset/water-sales-tariff-subscriber)
|
| 45 |
+
- **Publisher:** MDPA
|
| 46 |
+
- **Resource:** [Energy_Water_Yr22_060623_Source_File.xlsx](https://data.govmu.org/dataset/9584b934-20df-4dd5-98e7-e3ff15f7aa8e/resource/ff1be866-1f8f-4c16-af99-f14cd51ddfb5/download/energy_water_yr22_060623_source_file.xlsx)
|
| 47 |
+
- **Format:** `XLSX`
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| 48 |
+
- **License:** [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)
|
| 49 |
+
- **Packaging mode:** `tabular_resource`
|
| 50 |
+
|
| 51 |
+
## Geographic coverage
|
| 52 |
+
|
| 53 |
+
1 Africa country:
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| 54 |
+
|
| 55 |
+
| Country | Rows | First year | Last year | Name |
|
| 56 |
+
|---------|-----:|-----------:|----------:|------|
|
| 57 |
+
| `MU` | 28 | 2016 | 2022 | `Mauritius` |
|
| 58 |
+
|
| 59 |
+
## Indicators or Resource Contents
|
| 60 |
+
|
| 61 |
+
- This source file is packaged as a normalized tabular resource.
|
| 62 |
+
|
| 63 |
+
## Schema
|
| 64 |
+
|
| 65 |
+
| Column | Type | Description | Example |
|
| 66 |
+
|--------|------|-------------|---------|
|
| 67 |
+
| `source_record_id` | `string` | Stable row identifier for tabular resources. | `ff1be866-1f8f-4c16-af99-f14cd51ddfb5:tab16:0` |
|
| 68 |
+
| `country_iso3` | `category` | ISO3 country code. | `MU` |
|
| 69 |
+
| `country_name` | `category` | Country name. | `Mauritius` |
|
| 70 |
+
| `source_sheet` | `string` | Workbook sheet name, when the source is a spreadsheet. | `TAB16` |
|
| 71 |
+
| `column_1` | `string` | Source column. | `` |
|
| 72 |
+
| `domestic` | `string` | Source column. | `Public Sector Agency` |
|
| 73 |
+
| `d_365971` | `float64` | Source column. | `2587.0` |
|
| 74 |
+
| `d_92_92495588253963` | `float64` | Source column. | `0.6568740716289817` |
|
| 75 |
+
| `d_85053_399` | `float64` | Source column. | `4096.654` |
|
| 76 |
+
| `d_69_77075636118678` | `float64` | Source column. | `3.360555268697507` |
|
| 77 |
+
| `d_832555_79997` | `float64` | Source column. | `98681.707` |
|
| 78 |
+
| `d_55_00829401135688` | `float64` | Source column. | `6.52005829806744` |
|
| 79 |
+
| `d_232_40475064964164` | `float64` | Source column. | `1583.5539234634712` |
|
| 80 |
+
| `d_9_788624672953988` | `float64` | Source column. | `24.088367482340463` |
|
| 81 |
+
| `d_372734` | `float64` | Source column. | `2603.0` |
|
| 82 |
+
| `d_92_94069244099789` | `float64` | Source column. | `0.649054345522323` |
|
| 83 |
+
| `d_87497_492` | `float64` | Source column. | `4338.04` |
|
| 84 |
+
| `d_68_68942650464635` | `float64` | Source column. | `3.40555452439958` |
|
| 85 |
+
| `d_870695_6203399999` | `float64` | Source column. | `104306.187` |
|
| 86 |
+
| `d_53_14584534898735` | `float64` | Source column. | `6.366680104672956` |
|
| 87 |
+
| `d_234_74513191713126` | `float64` | Source column. | `1666.5539761813293` |
|
| 88 |
+
| `d_9_951092316337478` | `float64` | Source column. | `24.04454246618289` |
|
| 89 |
+
| `source_period_start_year` | `Int64` | First year inferred from source resource metadata. | `2016` |
|
| 90 |
+
| `source_period_end_year` | `Int64` | Last year inferred from source resource metadata. | `2022` |
|
| 91 |
+
| `source_period_label` | `category` | Human-readable period inferred from source resource metadata. | `2016-2022` |
|
| 92 |
+
| `source_provider` | `category` | Publishing organization. | `MDPA` |
|
| 93 |
+
| `source_dataset` | `category` | Source package title. | `Water sales by tariff of subscriber` |
|
| 94 |
+
| `source_resource` | `category` | Source resource title. | `Energy_Water_Yr22_060623_Source_File.xlsx` |
|
| 95 |
+
| `source_package_id` | `category` | CKAN package UUID. | `9584b934-20df-4dd5-98e7-e3ff15f7aa8e` |
|
| 96 |
+
| `source_resource_id` | `category` | CKAN resource UUID. | `ff1be866-1f8f-4c16-af99-f14cd51ddfb5` |
|
| 97 |
+
| `source_url` | `category` | Original source resource URL. | `https://data.govmu.org/dataset/9584b934-20df-4dd5-98e7-e3ff15f7aa8e/reso` |
|
| 98 |
+
| `license_id` | `category` | Source license identifier. | `CC-BY-SA-4.0` |
|
| 99 |
+
| `retrieved_at` | `category` | UTC retrieval timestamp. | `2026-08-08T16:26:20Z` |
|
| 100 |
+
| `type_of_tariff` | `string` | Source column. | `` |
|
| 101 |
+
| `column_2` | `string` | Source column. | `` |
|
| 102 |
+
| `no_of_consumers` | `float64` | Source column. | `` |
|
| 103 |
+
| `volume_sold_thousand_m3` | `float64` | Source column. | `` |
|
| 104 |
+
| `amount_collectible_rs_000` | `float64` | Source column. | `` |
|
| 105 |
+
| `average_sales_price_per_m3` | `float64` | Source column. | `` |
|
| 106 |
+
| `no_of_consumers_2` | `float64` | Source column. | `` |
|
| 107 |
+
| `volume_sold_thousand_m3_2` | `float64` | Source column. | `` |
|
| 108 |
+
| `amount_collectible_rs_000_2` | `float64` | Source column. | `` |
|
| 109 |
+
| `average_sales_price_per_m3_2` | `float64` | Source column. | `` |
|
| 110 |
+
| `no_of_consumers_3` | `float64` | Source column. | `` |
|
| 111 |
+
| `volume_sold_thousand_m3_3` | `float64` | Source column. | `` |
|
| 112 |
+
| `amount_collectible_rs_000_3` | `float64` | Source column. | `` |
|
| 113 |
+
| `average_sales_price_per_m3_3` | `float64` | Source column. | `` |
|
| 114 |
+
| `no_of_consumers_4` | `float64` | Source column. | `` |
|
| 115 |
+
| `volume_sold_thousand_m3_4` | `float64` | Source column. | `` |
|
| 116 |
+
| `amount_collectible_rs_000_4` | `float64` | Source column. | `` |
|
| 117 |
+
| `average_sales_price_per_m3_4` | `float64` | Source column. | `` |
|
| 118 |
+
| `no_of_consumers_5` | `float64` | Source column. | `` |
|
| 119 |
+
| `volume_sold_thousand_m3_5` | `float64` | Source column. | `` |
|
| 120 |
+
| `amount_collectible_rs_000_5` | `float64` | Source column. | `` |
|
| 121 |
+
| `average_sales_price_per_m3_5` | `float64` | Source column. | `` |
|
| 122 |
+
|
| 123 |
+
## Usage
|
| 124 |
+
|
| 125 |
+
```python
|
| 126 |
+
from datasets import load_dataset
|
| 127 |
+
|
| 128 |
+
ds = load_dataset("electricsheepafrica/africa-mauritius-water-sales-by-tariff-of-subscriber-685f5471")
|
| 129 |
+
df = ds["train"].to_pandas()
|
| 130 |
+
print(df.head())
|
| 131 |
+
```
|
| 132 |
+
|
| 133 |
+
### Filter to one country
|
| 134 |
+
|
| 135 |
+
```python
|
| 136 |
+
sample_country = df[df["country_iso3"] == "MU"]
|
| 137 |
+
```
|
| 138 |
+
|
| 139 |
+
### Work with indicators
|
| 140 |
+
|
| 141 |
+
```python
|
| 142 |
+
if "indicator_id" in df.columns:
|
| 143 |
+
print(df["indicator_id"].value_counts().head())
|
| 144 |
+
sample = df.sort_values([c for c in ["indicator_id", "year"] if c in df.columns])
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| 145 |
+
```
|
| 146 |
+
|
| 147 |
+
## Citation
|
| 148 |
+
|
| 149 |
+
```bibtex
|
| 150 |
+
@misc{electric_sheep_africa_africa_mauritius_water_sales_by_tariff_of_subscriber_685f5471_2022,
|
| 151 |
+
title = {Water sales by tariff of subscriber | Africa (Mauritius official open data)},
|
| 152 |
+
author = {MDPA},
|
| 153 |
+
year = {2022},
|
| 154 |
+
url = {https://data.govmu.org/dataset/water-sales-tariff-subscriber},
|
| 155 |
+
publisher = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
|
| 156 |
+
howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-water-sales-by-tariff-of-subscriber-685f5471}}
|
| 157 |
+
}
|
| 158 |
+
```
|
| 159 |
+
|
| 160 |
+
## License
|
| 161 |
+
|
| 162 |
+
Released under [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/).
|
| 163 |
+
|
| 164 |
+
Original data (c) MDPA. When using this dataset, please cite both the
|
| 165 |
+
original source above and the Electric Sheep Africa repackaging.
|
| 166 |
+
|
| 167 |
+
## About Electric Sheep
|
| 168 |
+
|
| 169 |
+
Electric Sheep Africa is part of the Electric Sheep mission: a unified,
|
| 170 |
+
ML-ready data layer for Africa on Hugging Face. We pull data from authoritative
|
| 171 |
+
open sources, normalize the schemas, package as Parquet, and publish with
|
| 172 |
+
consistent dataset cards so researchers and developers can use `load_dataset()`
|
| 173 |
+
to start working in seconds.
|
| 174 |
+
|
| 175 |
+
Browse the full collection: [huggingface.co/electricsheepafrica](https://huggingface.co/electricsheepafrica)
|
| 176 |
+
|
| 177 |
+
---
|
| 178 |
+
|
| 179 |
+
Provenance: ingested 2026-08-08 via the Electric Sheep pipeline. Source URL:
|
| 180 |
+
https://data.govmu.org/dataset/9584b934-20df-4dd5-98e7-e3ff15f7aa8e/resource/ff1be866-1f8f-4c16-af99-f14cd51ddfb5/download/energy_water_yr22_060623_source_file.xlsx
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data/train-00000-of-00001.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:96a24c24697dfade020cffe4a655e2dd410d27d4edfe25dcc7ceb0ff6f72a878
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size 43748
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metadata/source_snapshot.json
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| 1 |
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{
|
| 2 |
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"columns": [
|
| 3 |
+
"source_record_id",
|
| 4 |
+
"country_iso3",
|
| 5 |
+
"country_name",
|
| 6 |
+
"source_sheet",
|
| 7 |
+
"column_1",
|
| 8 |
+
"domestic",
|
| 9 |
+
"d_365971",
|
| 10 |
+
"d_92_92495588253963",
|
| 11 |
+
"d_85053_399",
|
| 12 |
+
"d_69_77075636118678",
|
| 13 |
+
"d_832555_79997",
|
| 14 |
+
"d_55_00829401135688",
|
| 15 |
+
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"d_68_68942650464635",
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| 21 |
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"d_870695_6203399999",
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"d_53_14584534898735",
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| 23 |
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"d_234_74513191713126",
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| 24 |
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"d_9_951092316337478",
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| 25 |
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| 26 |
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"source_period_end_year",
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| 27 |
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"source_period_label",
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| 28 |
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| 29 |
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| 30 |
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| 31 |
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| 32 |
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"source_resource_id",
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| 33 |
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"source_url",
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| 34 |
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"license_id",
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| 35 |
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"retrieved_at",
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| 36 |
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"type_of_tariff",
|
| 37 |
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"column_2",
|
| 38 |
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"no_of_consumers",
|
| 39 |
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"volume_sold_thousand_m3",
|
| 40 |
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"amount_collectible_rs_000",
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| 41 |
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"average_sales_price_per_m3",
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| 42 |
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| 43 |
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| 44 |
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| 45 |
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| 46 |
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| 47 |
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"volume_sold_thousand_m3_3",
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| 48 |
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"amount_collectible_rs_000_3",
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| 49 |
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"average_sales_price_per_m3_3",
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| 50 |
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"no_of_consumers_4",
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| 51 |
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"volume_sold_thousand_m3_4",
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| 52 |
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"amount_collectible_rs_000_4",
|
| 53 |
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| 54 |
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| 55 |
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"volume_sold_thousand_m3_5",
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| 56 |
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"amount_collectible_rs_000_5",
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| 57 |
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"average_sales_price_per_m3_5"
|
| 58 |
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],
|
| 59 |
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"generated_at": "2026-08-08T16:30:12Z",
|
| 60 |
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"indicator_count": 0,
|
| 61 |
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"mode": "tabular_resource",
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| 62 |
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"repo_id": "electricsheepafrica/africa-mauritius-water-sales-by-tariff-of-subscriber-685f5471",
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| 63 |
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"rows": 28,
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| 64 |
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"source": {
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| 65 |
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"api_base_url": "https://data.govmu.org",
|
| 66 |
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"country_iso3": "MU",
|
| 67 |
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"country_name": "Mauritius",
|
| 68 |
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"group_names": "environment-and-natural-resources",
|
| 69 |
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"license_id": "CC-BY-SA-4.0",
|
| 70 |
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"license_title": "CC-BY-SA-4.0",
|
| 71 |
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"license_url": "",
|
| 72 |
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"organization_id": "fba989d1-7b9a-4338-901c-978558936a9b",
|
| 73 |
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"organization_name": "mdpa",
|
| 74 |
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"organization_title": "MDPA",
|
| 75 |
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"package_author": "",
|
| 76 |
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"package_id": "9584b934-20df-4dd5-98e7-e3ff15f7aa8e",
|
| 77 |
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"package_maintainer": "Open Data Mauritius",
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| 78 |
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"package_metadata_created": "2024-09-30T12:48:30.311368",
|
| 79 |
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"package_metadata_modified": "2026-04-14T18:04:24.190100",
|
| 80 |
+
"package_name": "water-sales-tariff-subscriber",
|
| 81 |
+
"package_notes": "<p>The data shows the water sales by tariff of subscribers for island of Mauritius for the year 2016 to 2022</p>",
|
| 82 |
+
"package_page_url": "https://data.govmu.org/dataset/water-sales-tariff-subscriber",
|
| 83 |
+
"package_private": "False",
|
| 84 |
+
"package_state": "active",
|
| 85 |
+
"package_title": "Water sales by tariff of subscriber",
|
| 86 |
+
"package_version": "",
|
| 87 |
+
"portal_url": "https://data.govmu.org",
|
| 88 |
+
"resource_created": "2024-09-30T12:48:37.597135",
|
| 89 |
+
"resource_datastore_active": "True",
|
| 90 |
+
"resource_description": "",
|
| 91 |
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"resource_format": "XLSX",
|
| 92 |
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"resource_hash": "fd7a3b1dc9613a4cc91153550b331039",
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| 93 |
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"resource_id": "ff1be866-1f8f-4c16-af99-f14cd51ddfb5",
|
| 94 |
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"resource_last_modified": "2024-09-30T12:48:37.567305",
|
| 95 |
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"resource_mimetype": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
|
| 96 |
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"resource_name": "Energy_Water_Yr22_060623_Source_File.xlsx",
|
| 97 |
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"resource_position": "3",
|
| 98 |
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"resource_size": "133470",
|
| 99 |
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"resource_state": "active",
|
| 100 |
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"resource_url": "https://data.govmu.org/dataset/9584b934-20df-4dd5-98e7-e3ff15f7aa8e/resource/ff1be866-1f8f-4c16-af99-f14cd51ddfb5/download/energy_water_yr22_060623_source_file.xlsx",
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| 101 |
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"retrieved_at": "2026-08-08T16:23:36Z",
|
| 102 |
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"tag_names": "Commercial; Domestic; industrial; religious; water"
|
| 103 |
+
},
|
| 104 |
+
"year_max": 2022,
|
| 105 |
+
"year_min": 2016
|
| 106 |
+
}
|