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Standardize Electric Sheep Africa dataset card

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  1. README.md +135 -73
README.md CHANGED
@@ -5,91 +5,110 @@ language:
5
  task_categories:
6
  - tabular-regression
7
  - time-series-forecasting
8
- multilinguality: monolingual
9
  size_categories:
10
  - n<1K
11
  tags:
12
- - tabular
13
- - csv
14
- - africa
15
- - mauritius
16
- - official-statistics
17
- - open-data
18
- - education
19
- - ict
 
 
 
 
20
  configs:
21
  - config_name: default
22
  data_files:
23
  - split: train
24
  path: data/train-00000-of-00001.parquet
25
- pretty_name: "ICT in Education Indicators for Mauritius | Africa (Mauritius official open data)"
26
  ---
27
 
28
- # ICT in Education Indicators for Mauritius | Africa (Mauritius official open data)
29
 
30
- 608 rows - 1 Africa country - 2013-2020 - Repackaged by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)
31
 
32
  ![rows](https://img.shields.io/badge/rows-608-blue)
33
  ![countries](https://img.shields.io/badge/countries-1-green)
34
- ![years](https://img.shields.io/badge/years-2013-2020-orange)
35
  ![indicators](https://img.shields.io/badge/indicators-4-purple)
36
- ![license](https://img.shields.io/badge/license-cc-by-sa-4.0-lightgrey)
37
 
38
  ## TL;DR
39
 
40
- This dataset packages one official `CSV` resource from **Mauritius** as
41
- ML-ready Parquet. The source file is the provenance boundary; all usable
42
- indicators or tabular columns from the resource stay together in this repo.
43
 
44
- ## About the source
45
 
46
- - **Source:** [ICT in Education Indicators for Mauritius](https://data.govmu.org/dataset/ict-education-indicators-mauritius)
47
- - **Publisher:** MDPA
48
- - **Resource:** [ICT-in-Education-Indicators-for-Mauritius.csv](https://data.govmu.org/dataset/d500c8ae-5239-4ddc-8819-19f6e165d174/resource/6364bb13-2598-4e52-ae56-ffd0a0870271/download/ict-in-education-indicators-for-mauritius.csv)
49
- - **Format:** `CSV`
50
- - **License:** [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)
51
- - **Packaging mode:** `indicator_long`
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
52
 
53
- ## Geographic coverage
54
 
55
- 1 Africa country:
56
 
57
- | Country | Rows | First year | Last year | Name |
58
- |---------|-----:|-----------:|----------:|------|
59
  | `MU` | 608 | 2013 | 2020 | `Mauritius` |
60
 
61
- ## Indicators or Resource Contents
62
 
63
- - `ict-in-education-indicators-for-mauritius-ratio-17a38b57` - ICT in Education Indicators for Mauritius - ratio
64
- - `ict-in-education-indicators-for-mauritius-percentage-873fb909` - ICT in Education Indicators for Mauritius - percentage
65
- - `ict-in-education-indicators-for-mauritius-proportion-e2f96559` - ICT in Education Indicators for Mauritius - proportion
66
- - `ict-in-education-indicators-for-mauritius-average-2f034c07` - ICT in Education Indicators for Mauritius - average
67
 
68
  ## Schema
69
 
70
  | Column | Type | Description | Example |
71
  |--------|------|-------------|---------|
72
- | `indicator_id` | `string` | Stable indicator identifier. | `ict-in-education-indicators-for-mauritius-ratio-17a38b57` |
73
  | `indicator_name` | `string` | Human-readable indicator name. | `ICT in Education Indicators for Mauritius - ratio` |
74
- | `country_iso3` | `string` | ISO3 country code. | `MU` |
75
- | `country_name` | `string` | Country name. | `Mauritius` |
76
- | `year` | `Int64` | Observation year. | `2013` |
77
- | `value` | `float64` | Numeric observation value. | `4.0` |
78
- | `unit` | `string` | Measurement unit, when available. | `source_units_unspecified` |
79
- | `dimension_category` | `string` | Source dimension. | `Computer to Student ratio` |
80
- | `dimension_type` | `string` | Source dimension. | `` |
81
- | `dimension_level` | `string` | Source dimension. | `Primary` |
82
- | `source_period_start_year` | `Int64` | First year inferred from source resource metadata. | `2013` |
83
- | `source_period_end_year` | `Int64` | Last year inferred from source resource metadata. | `2020` |
84
- | `source_period_label` | `category` | Human-readable period inferred from source resource metadata. | `2013-2020` |
85
- | `source_provider` | `category` | Publishing organization. | `MDPA` |
86
- | `source_dataset` | `category` | Source package title. | `ICT in Education Indicators for Mauritius` |
87
- | `source_resource` | `category` | Source resource title. | `ICT-in-Education-Indicators-for-Mauritius.csv` |
88
- | `source_package_id` | `category` | CKAN package UUID. | `d500c8ae-5239-4ddc-8819-19f6e165d174` |
89
- | `source_resource_id` | `category` | CKAN resource UUID. | `6364bb13-2598-4e52-ae56-ffd0a0870271` |
90
- | `source_url` | `category` | Original source resource URL. | `https://data.govmu.org/dataset/d500c8ae-5239-4ddc-8819-19f6e165d174/reso` |
91
- | `license_id` | `category` | Source license identifier. | `CC-BY-SA-4.0` |
92
- | `retrieved_at` | `category` | UTC retrieval timestamp. | `2026-08-08T16:26:20Z` |
93
 
94
  ## Usage
95
 
@@ -101,29 +120,78 @@ df = ds["train"].to_pandas()
101
  print(df.head())
102
  ```
103
 
104
- ### Filter to one country
105
 
106
  ```python
107
- sample_country = df[df["country_iso3"] == "MU"]
 
108
  ```
109
 
110
- ### Work with indicators
111
 
112
  ```python
113
- if "indicator_id" in df.columns:
114
- print(df["indicator_id"].value_counts().head())
115
- sample = df.sort_values([c for c in ["indicator_id", "year"] if c in df.columns])
116
  ```
117
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
118
  ## Citation
119
 
120
  ```bibtex
121
  @misc{electric_sheep_africa_africa_mauritius_ict_in_education_indicators_for_mauritius_55dda545_2020,
122
- title = {ICT in Education Indicators for Mauritius | Africa (Mauritius official open data)},
123
  author = {MDPA},
124
  year = {2020},
125
  url = {https://data.govmu.org/dataset/ict-education-indicators-mauritius},
126
- publisher = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
127
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-ict-in-education-indicators-for-mauritius-55dda545}}
128
  }
129
  ```
@@ -132,20 +200,14 @@ if "indicator_id" in df.columns:
132
 
133
  Released under [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/).
134
 
135
- Original data (c) MDPA. When using this dataset, please cite both the
136
- original source above and the Electric Sheep Africa repackaging.
137
-
138
- ## About Electric Sheep
139
 
140
- Electric Sheep Africa is part of the Electric Sheep mission: a unified,
141
- ML-ready data layer for Africa on Hugging Face. We pull data from authoritative
142
- open sources, normalize the schemas, package as Parquet, and publish with
143
- consistent dataset cards so researchers and developers can use `load_dataset()`
144
- to start working in seconds.
145
 
146
- Browse the full collection: [huggingface.co/electricsheepafrica](https://huggingface.co/electricsheepafrica)
147
 
148
  ---
149
 
150
- Provenance: ingested 2026-08-08 via the Electric Sheep pipeline. Source URL:
151
- https://data.govmu.org/dataset/d500c8ae-5239-4ddc-8819-19f6e165d174/resource/6364bb13-2598-4e52-ae56-ffd0a0870271/download/ict-in-education-indicators-for-mauritius.csv
 
5
  task_categories:
6
  - tabular-regression
7
  - time-series-forecasting
8
+ multilinguality: multilingual
9
  size_categories:
10
  - n<1K
11
  tags:
12
+ - "tabular"
13
+ - "africa"
14
+ - "open-data"
15
+ - "official-statistics"
16
+ - "mauritius"
17
+ - "mdpa"
18
+ - "education"
19
+ - "ict-and-telecom"
20
+ - "indices"
21
+ - "ict-indicator"
22
+ - "student"
23
+ - "school"
24
  configs:
25
  - config_name: default
26
  data_files:
27
  - split: train
28
  path: data/train-00000-of-00001.parquet
29
+ pretty_name: "Ict in Education Indicators for Mauritius | Africa (MDPA)"
30
  ---
31
 
32
+ # Ict in Education Indicators for Mauritius | Africa (MDPA)
33
 
34
+ **608 rows** - **1 Africa country/area** - **2013-2020** - **4 indicators** - *Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)*
35
 
36
  ![rows](https://img.shields.io/badge/rows-608-blue)
37
  ![countries](https://img.shields.io/badge/countries-1-green)
38
+ ![period](https://img.shields.io/badge/period-2013--2020-orange)
39
  ![indicators](https://img.shields.io/badge/indicators-4-purple)
40
+ ![license](https://img.shields.io/badge/license-cc--by--sa--4.0-lightgrey)
41
 
42
  ## TL;DR
43
 
44
+ This dataset contains **608 rows** from **MDPA**, covering **Ict in Education Indicators for Mauritius**. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.
 
 
45
 
46
+ ## What This Dataset Measures
47
 
48
+ Education datasets help analysts study access, participation, learning systems, infrastructure, and outcomes across places and periods.
49
+
50
+ Source-provided context: Dataset refers to the ICT in Education Indicators for Mauritius for the year 2013 to 2020
51
+
52
+ ## How To Read This Dataset
53
+
54
+ - **One row means:** one indicator observation for one geography, time period, and optional source dimensions.
55
+ - **Primary geography column:** `country_iso3`.
56
+ - **Best time column:** `year`.
57
+ - **Time coverage basis:** year.
58
+ - **Recommended join keys:** `country_iso3`, `year`, `indicator_id`.
59
+
60
+ ## Coverage
61
+
62
+ | Dimension | Value |
63
+ |---|---:|
64
+ | Rows | 608 |
65
+ | Countries/areas | 1 |
66
+ | First period | 2013 |
67
+ | Last period | 2020 |
68
+ | Indicators | 4 |
69
+ | Columns | 21 |
70
+ | Source format | CSV |
71
 
72
+ ## Geographic Coverage
73
 
74
+ Top areas shown below, sorted by row count when available:
75
 
76
+ | Area | Rows | First year | Last year | Name |
77
+ |------|-----:|-----------:|----------:|------|
78
  | `MU` | 608 | 2013 | 2020 | `Mauritius` |
79
 
80
+ ## Indicators, Variables, Or Resource Contents
81
 
82
+ - `ict-in-education-indicators-for-mauritius-ratio-17a38b57` - ICT in Education Indicators for Mauritius - ratio(source_units_unspecified)
83
+ - `ict-in-education-indicators-for-mauritius-percentage-873fb909` - ICT in Education Indicators for Mauritius - percentage(source_units_unspecified)
84
+ - `ict-in-education-indicators-for-mauritius-proportion-e2f96559` - ICT in Education Indicators for Mauritius - proportion(source_units_unspecified)
85
+ - `ict-in-education-indicators-for-mauritius-average-2f034c07` - ICT in Education Indicators for Mauritius - average(source_units_unspecified)
86
 
87
  ## Schema
88
 
89
  | Column | Type | Description | Example |
90
  |--------|------|-------------|---------|
91
+ | `indicator_id` | `string` | Stable source or Electric Sheep Africa indicator identifier. | `ict-in-education-indicators-for-mauritius-ratio-17a38b57` |
92
  | `indicator_name` | `string` | Human-readable indicator name. | `ICT in Education Indicators for Mauritius - ratio` |
93
+ | `country_iso3` | `string` | ISO3 country or area code. | `MU` |
94
+ | `country_name` | `string` | Country or area name. | `Mauritius` |
95
+ | `year` | `int64` | Observation year. | `2013` |
96
+ | `value` | `double` | Numeric observation value. | `4.0` |
97
+ | `unit` | `string` | Measurement unit, when supplied by the source. | `source_units_unspecified` |
98
+ | `dimension_category` | `string` | Source dimension retained during long-form normalization. | `Computer to Student ratio` |
99
+ | `dimension_type` | `string` | Source dimension retained during long-form normalization. | `` |
100
+ | `dimension_level` | `string` | Source dimension retained during long-form normalization. | `Primary` |
101
+ | `source_period_start_year` | `int64` | Start year inferred from source metadata. | `2013` |
102
+ | `source_period_end_year` | `int64` | End year inferred from source metadata. | `2020` |
103
+ | `source_period_label` | `dictionary<values=string, indices=int8, ordered=0>` | Source column from the original resource. | `2013-2020` |
104
+ | `source_provider` | `dictionary<values=string, indices=int8, ordered=0>` | Publishing organization. | `MDPA` |
105
+ | `source_dataset` | `dictionary<values=string, indices=int8, ordered=0>` | Source dataset or package title. | `ICT in Education Indicators for Mauritius` |
106
+ | `source_resource` | `dictionary<values=string, indices=int8, ordered=0>` | Source resource title, table name, or file name. | `ICT-in-Education-Indicators-for-Mauritius.csv` |
107
+ | `source_package_id` | `dictionary<values=string, indices=int8, ordered=0>` | Source package identifier. | `d500c8ae-5239-4ddc-8819-19f6e165d174` |
108
+ | `source_resource_id` | `dictionary<values=string, indices=int8, ordered=0>` | Source resource identifier. | `6364bb13-2598-4e52-ae56-ffd0a0870271` |
109
+ | `source_url` | `dictionary<values=string, indices=int8, ordered=0>` | Original source URL or download URL. | `https://data.govmu.org/dataset/d500c8ae-5239-4ddc-8819-19f6e165d174/r...` |
110
+ | `license_id` | `dictionary<values=string, indices=int8, ordered=0>` | Source license identifier. | `CC-BY-SA-4.0` |
111
+ | `retrieved_at` | `dictionary<values=string, indices=int8, ordered=0>` | UTC source retrieval timestamp from the Electric Sheep Africa pipeline. | `2026-08-08T16:26:20Z` |
112
 
113
  ## Usage
114
 
 
120
  print(df.head())
121
  ```
122
 
123
+ ### Inspect Columns
124
 
125
  ```python
126
+ print(df.info())
127
+ print(df.head())
128
  ```
129
 
130
+ ### Filter By Geography
131
 
132
  ```python
133
+ if "country_iso3" in df.columns:
134
+ sample = df[df["country_iso3"] == "MU"]
 
135
  ```
136
 
137
+ ### Time-Series Pattern
138
+
139
+ ```python
140
+ if "value" in df.columns and "year" in df.columns:
141
+ trend = df.sort_values("year")
142
+ ```
143
+
144
+ ### Pivot For Analysis
145
+
146
+ ```python
147
+ if {"indicator_id", "year", "value"}.issubset(df.columns):
148
+ matrix = df.pivot_table(index="year", columns="indicator_id", values="value")
149
+ print(matrix.tail())
150
+ ```
151
+
152
+ ## Data Quality Notes
153
+
154
+ - Canonical time field: `year`.
155
+ - Missing values are preserved rather than silently imputed.
156
+ - Column names are standardized for machine use; source meanings are preserved where known.
157
+ - Always confirm source methodology, units, and collection definitions before policy, production, or redistribution-sensitive use.
158
+
159
+ ## Source And Provenance
160
+
161
+ - **Source:** [MDPA](https://data.govmu.org/dataset/ict-education-indicators-mauritius)
162
+ - **Publisher:** MDPA
163
+ - **Portal:** [https://data.govmu.org](https://data.govmu.org)
164
+ - **Resource:** [ICT-in-Education-Indicators-for-Mauritius.csv](https://data.govmu.org/dataset/d500c8ae-5239-4ddc-8819-19f6e165d174/resource/6364bb13-2598-4e52-ae56-ffd0a0870271/download/ict-in-education-indicators-for-mauritius.csv)
165
+ - **License:** [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)
166
+ - **Retrieved/generated:** `2026-08-08T16:29:00Z`
167
+ - **Hugging Face repo:** [electricsheepafrica/africa-mauritius-ict-in-education-indicators-for-mauritius-55dda545](https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-ict-in-education-indicators-for-mauritius-55dda545)
168
+
169
+ ## Transformations Applied
170
+
171
+ - Converted the source table to Parquet for efficient analytics and ML workflows.
172
+ - Added or preserved source provenance columns where available.
173
+ - Standardized README metadata, dataset loading configuration, schema documentation, and citation format.
174
+ - Preserved source-reported values without analytical imputation.
175
+
176
+ ## Suggested Analyses
177
+
178
+ - Compare education indicators by geography
179
+ - Track participation or completion trends
180
+ - Join with population and poverty indicators
181
+ - Build time-series views and period-over-period comparisons
182
+ - Pivot to geography x period or indicator x period matrices
183
+ - Check missingness before modeling
184
+ - Use `country_iso3` as the safest geography join key when present
185
+
186
  ## Citation
187
 
188
  ```bibtex
189
  @misc{electric_sheep_africa_africa_mauritius_ict_in_education_indicators_for_mauritius_55dda545_2020,
190
+ title = {Ict in Education Indicators for Mauritius | Africa (MDPA)},
191
  author = {MDPA},
192
  year = {2020},
193
  url = {https://data.govmu.org/dataset/ict-education-indicators-mauritius},
194
+ publisher = {Hugging Face Datasets, engineered by Electric Sheep Africa},
195
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-ict-in-education-indicators-for-mauritius-55dda545}}
196
  }
197
  ```
 
200
 
201
  Released under [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/).
202
 
203
+ Original data is published by MDPA. Electric Sheep Africa
204
+ engineering standardizes the data for discovery, loading, and analysis on
205
+ Hugging Face. Cite both the original source and this ML-ready dataset when used.
 
206
 
207
+ ## About Electric Sheep Africa
 
 
 
 
208
 
209
+ Electric Sheep Africa publishes ML-ready African public datasets on Hugging Face.
210
 
211
  ---
212
 
213
+ Provenance: README standardized 2026-08-11 by the Electric Sheep Africa README system. Source URL: https://data.govmu.org/dataset/ict-education-indicators-mauritius