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README.md

@@ -15,6 +15,11 @@ tags:
 - mauritius
 - official-statistics
 - open-data
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-00000-of-00001.parquet
 pretty_name: "Data_Budget Data 2016-2017 - Judiciary | Africa (Mauritius official open data)"
 ---
 
@@ -30,15 +35,16 @@ pretty_name: "Data_Budget Data 2016-2017 - Judiciary | Africa (Mauritius officia
 
 ## 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.
+This dataset packages one official `CSV` 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:** [Data_Budget Data 2016-2017 - Judiciary](https://data.govmu.org/dataset/databudget-data-2016-2017-judiciary)
 - **Publisher:** MDPA
 - **Resource:** [Data-_Judiciary-20162017_0.csv](https://data.govmu.org/dataset/970bb7f7-8138-4293-8c0d-ccb888f4bf54/resource/85939184-9e93-4e28-a8ef-34484f6bd3c0/download/data-_judiciary-20162017_0.csv)
+- **Format:** `CSV`
 - **License:** [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)
 - **Packaging mode:** `indicator_long`
 
@@ -48,7 +54,7 @@ tabular columns from the source file stay together in this repo.
 
 | Country | Rows | First year | Last year | Name |
 |---------|-----:|-----------:|----------:|------|
-| `MUS` | 264 | 2015 | 2018 | `Mauritius` |
+| `MU` | 264 | 2015 | 2018 | `Mauritius` |
 
 ## Indicators or Resource Contents
 
@@ -60,27 +66,30 @@ tabular columns from the source file stay together in this repo.
 
 | Column | Type | Description | Example |
 |--------|------|-------------|---------|
-| `indicator_id` | `object` | Stable indicator identifier. | `data-budget-data-2016-2017-judiciary-item-no-0a9a39c4` |
-| `indicator_name` | `object` | Human-readable indicator name. | `Data_Budget Data 2016-2017 - Judiciary - item no` |
-| `country_iso3` | `object` | ISO3 country code. | `MUS` |
-| `country_name` | `object` | Country name. | `Mauritius` |
+| `indicator_id` | `string` | Stable indicator identifier. | `data-budget-data-2016-2017-judiciary-item-no-0a9a39c4` |
+| `indicator_name` | `string` | Human-readable indicator name. | `Data_Budget Data 2016-2017 - Judiciary - item no` |
+| `country_iso3` | `string` | ISO3 country code. | `MU` |
+| `country_name` | `string` | Country name. | `Mauritius` |
 | `year` | `Int64` | Observation year. | `2015` |
 | `value` | `float64` | Numeric observation value. | `21110.0` |
-| `unit` | `object` | Measurement unit, when available. | `source_units_unspecified` |
+| `unit` | `string` | Measurement unit, when available. | `source_units_unspecified` |
 | `dimension_head` | `string` | Source dimension. | `THE JUDICIARY` |
 | `dimension_sub_head` | `string` | Source dimension. | `THE JUDICIARY` |
 | `dimension_expense_type` | `string` | Source dimension. | `Reccurrent Expenditure` |
 | `dimension_category` | `string` | Source dimension. | `Compensation of Employees` |
 | `dimension_sub_category` | `string` | Source dimension. | `Personal Emoluments` |
 | `dimension_financial_status` | `string` | Source dimension. | `Estimates` |
-| `source_provider` | `object` | Publishing organization. | `MDPA` |
-| `source_dataset` | `object` | Source package title. | `Data_Budget Data 2016-2017 - Judiciary` |
-| `source_resource` | `object` | Source resource title. | `Data-_Judiciary-20162017_0.csv` |
-| `source_package_id` | `object` | CKAN package UUID. | `970bb7f7-8138-4293-8c0d-ccb888f4bf54` |
-| `source_resource_id` | `object` | CKAN resource UUID. | `85939184-9e93-4e28-a8ef-34484f6bd3c0` |
-| `source_url` | `object` | Original CSV URL. | `https://data.govmu.org/dataset/970bb7f7-8138-4293-8c0d-ccb888f4bf54/reso` |
-| `license_id` | `object` | Source license identifier. | `CC-BY-SA-4.0` |
-| `retrieved_at` | `object` | UTC retrieval timestamp. | `2026-07-16T19:23:24Z` |
+| `source_period_start_year` | `Int64` | First year inferred from source resource metadata. | `2016` |
+| `source_period_end_year` | `Int64` | Last year inferred from source resource metadata. | `2017` |
+| `source_period_label` | `category` | Human-readable period inferred from source resource metadata. | `2016-2017` |
+| `source_provider` | `category` | Publishing organization. | `MDPA` |
+| `source_dataset` | `category` | Source package title. | `Data_Budget Data 2016-2017 - Judiciary` |
+| `source_resource` | `category` | Source resource title. | `Data-_Judiciary-20162017_0.csv` |
+| `source_package_id` | `category` | CKAN package UUID. | `970bb7f7-8138-4293-8c0d-ccb888f4bf54` |
+| `source_resource_id` | `category` | CKAN resource UUID. | `85939184-9e93-4e28-a8ef-34484f6bd3c0` |
+| `source_url` | `category` | Original source resource URL. | `https://data.govmu.org/dataset/970bb7f7-8138-4293-8c0d-ccb888f4bf54/reso` |
+| `license_id` | `category` | Source license identifier. | `CC-BY-SA-4.0` |
+| `retrieved_at` | `category` | UTC retrieval timestamp. | `2026-08-08T16:26:20Z` |
 
 ## Usage
 
@@ -95,7 +104,7 @@ print(df.head())
 ### Filter to one country
 
 ```python
-sample_country = df[df["country_iso3"] == "MUS"]
+sample_country = df[df["country_iso3"] == "MU"]
 ```
 
 ### Work with indicators
@@ -138,5 +147,5 @@ Browse the full collection: [huggingface.co/electricsheepafrica](https://hugging
 
 ---
 
-Provenance: ingested 2026-07-16 via the Electric Sheep pipeline. Source URL:
+Provenance: ingested 2026-08-08 via the Electric Sheep pipeline. Source URL:
 https://data.govmu.org/dataset/970bb7f7-8138-4293-8c0d-ccb888f4bf54/resource/85939184-9e93-4e28-a8ef-34484f6bd3c0/download/data-_judiciary-20162017_0.csv

data/train-00000-of-00001.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:22df570e8d343dacf424760dee1434383bf50cbc8f3b4840f9025ebe467ae2ce
-size 16867
+oid sha256:c6a9dedf9759fcaa8a8ace7f71490d4a57bcdcaa17b5eacca0afc225988fcc21
+size 20130

metadata/source_snapshot.json

@@ -13,6 +13,9 @@
     "dimension_category",
     "dimension_sub_category",
     "dimension_financial_status",
+    "source_period_start_year",
+    "source_period_end_year",
+    "source_period_label",
     "source_provider",
     "source_dataset",
     "source_resource",
@@ -22,14 +25,14 @@
     "license_id",
     "retrieved_at"
   ],
-  "generated_at": "2026-07-16T19:40:57Z",
+  "generated_at": "2026-08-08T16:46:07Z",
   "indicator_count": 3,
   "mode": "indicator_long",
   "repo_id": "electricsheepafrica/africa-mauritius-data-budget-data-2016-2017-judiciary-2a4ede9a",
   "rows": 264,
   "source": {
     "api_base_url": "https://data.govmu.org",
-    "country_iso3": "MUS",
+    "country_iso3": "MU",
     "country_name": "Mauritius",
     "group_names": "finance-and-trade",
     "license_id": "CC-BY-SA-4.0",
@@ -64,7 +67,7 @@
     "resource_size": "11128",
     "resource_state": "active",
     "resource_url": "https://data.govmu.org/dataset/970bb7f7-8138-4293-8c0d-ccb888f4bf54/resource/85939184-9e93-4e28-a8ef-34484f6bd3c0/download/data-_judiciary-20162017_0.csv",
-    "retrieved_at": "2026-07-16T17:57:00Z",
+    "retrieved_at": "2026-08-08T16:23:36Z",
     "tag_names": "Judiciary; budget data; budget data judiciary 2016-2017; estimates; recurrent expenditure"
   },
   "year_max": 2018,