Add ML-ready official indicator dataset

README.md

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+---
+license: other
+language:
+- en
+task_categories:
+- tabular-classification
+- tabular-regression
+multilinguality: monolingual
+size_categories:
+- n<1K
+tags:
+- tabular
+- xlsx
+- africa
+- nigeria
+- official-statistics
+- open-data
+- economics
+pretty_name: "Automotive Gas Oil (Diesel) Price Watch | Africa (Nigeria official open data)"
+---
+
+# Automotive Gas Oil (Diesel) Price Watch | Africa (Nigeria official open data)
+
+43 rows - 1 Africa country - 2025 - Repackaged by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)
+
+![rows](https://img.shields.io/badge/rows-43-blue)
+![countries](https://img.shields.io/badge/countries-1-green)
+![years](https://img.shields.io/badge/years-2025-orange)
+![indicators](https://img.shields.io/badge/indicators-0-purple)
+![license](https://img.shields.io/badge/license-other-lightgrey)
+
+## TL;DR
+
+This dataset packages one official `XLSX` resource from **Nigeria** 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:** [Automotive Gas Oil (Diesel) Price Watch](https://microdata.nigerianstat.gov.ng/index.php/catalog/158/related-materials)
+- **Publisher:** National Bureau of Statistics, Nigeria
+- **Resource:** [AGO May 2025 Tables](https://microdata.nigerianstat.gov.ng/index.php/catalog/158/download/1248)
+- **Format:** `XLSX`
+- **License:** [Other open license]()
+- **Packaging mode:** `tabular_resource`
+
+## Geographic coverage
+
+1 Africa country:
+
+| Country | Rows | First year | Last year | Name |
+|---------|-----:|-----------:|----------:|------|
+| `NGA` | 43 | 2025 | 2025 | `Nigeria` |
+
+## 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. | `nbs-nada-158-1248:diesel-may-2025:0` |
+| `country_iso3` | `string` | ISO3 country code. | `NGA` |
+| `country_name` | `string` | Country name. | `Nigeria` |
+| `source_sheet` | `string` | Workbook sheet name, when the source is a spreadsheet. | `DIESEL MAY 2025` |
+| `year` | `Int64` | Observation year. | `2025` |
+| `north_central` | `string` | Source column. | `Abuja` |
+| `d_1312_0583071690216` | `float64` | Source column. | `1254.0` |
+| `d_1867_9676395942708` | `float64` | Source column. | `1764.1666666666667` |
+| `1920` | `float64` | Source column. | `1800.16666666667` |
+| `d_46_355756991940844` | `float64` | Source column. | `43.55396065922408` |
+| `d_3_1840088232035746` | `float64` | Source column. | `2.0406235238546917` |
+| `south_east` | `string` | Source column. | `North Central` |
+| `d_1632_330266209332` | `float64` | Source column. | `1920.4733508808813` |
+| `source_period_start_year` | `Int64` | First year inferred from source resource metadata. | `2025` |
+| `source_period_end_year` | `Int64` | Last year inferred from source resource metadata. | `2025` |
+| `source_period_label` | `string` | Human-readable period inferred from source resource metadata. | `2025` |
+| `source_provider` | `string` | Publishing organization. | `National Bureau of Statistics, Nigeria` |
+| `source_dataset` | `string` | Source package title. | `Automotive Gas Oil (Diesel) Price Watch` |
+| `source_resource` | `string` | Source resource title. | `AGO May 2025 Tables` |
+| `source_package_id` | `string` | CKAN package UUID. | `NGA-NBS-AGO` |
+| `source_resource_id` | `string` | CKAN resource UUID. | `nbs-nada-158-1248` |
+| `source_url` | `string` | Original source resource URL. | `https://microdata.nigerianstat.gov.ng/index.php/catalog/158/download/124` |
+| `license_id` | `string` | Source license identifier. | `other-open` |
+| `retrieved_at` | `string` | UTC retrieval timestamp. | `2026-07-19T04:13:01Z` |
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("electricsheepafrica/africa-nigeria-automotive-gas-oil-diesel-price-watch-eb4fccc7")
+df = ds["train"].to_pandas()
+print(df.head())
+```
+
+### Filter to one country
+
+```python
+sample_country = df[df["country_iso3"] == "NGA"]
+```
+
+### 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_nigeria_automotive_gas_oil_diesel_price_watch_eb4fccc7_2025,
+  title        = {Automotive Gas Oil (Diesel) Price Watch | Africa (Nigeria official open data)},
+  author       = {National Bureau of Statistics, Nigeria},
+  year         = {2025},
+  url          = {https://microdata.nigerianstat.gov.ng/index.php/catalog/158/related-materials},
+  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
+  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-nigeria-automotive-gas-oil-diesel-price-watch-eb4fccc7}}
+}
+```
+
+## License
+
+Released under [Other open license]().
+
+Original data (c) National Bureau of Statistics, Nigeria. 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 2026-07-19 via the Electric Sheep pipeline. Source URL:
+https://microdata.nigerianstat.gov.ng/index.php/catalog/158/download/1248

data/train-00000-of-00001.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:6edd5b90c53d084140b71776fc21bc03cae45985c3cf96c316e1a5e0ce5efbe3
+size 18768

metadata/source_snapshot.json

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+{
+  "columns": [
+    "source_record_id",
+    "country_iso3",
+    "country_name",
+    "source_sheet",
+    "year",
+    "north_central",
+    "d_1312_0583071690216",
+    "d_1867_9676395942708",
+    "1920",
+    "d_46_355756991940844",
+    "d_3_1840088232035746",
+    "south_east",
+    "d_1632_330266209332",
+    "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"
+  ],
+  "generated_at": "2026-07-19T04:13:06Z",
+  "indicator_count": 0,
+  "mode": "tabular_resource",
+  "repo_id": "electricsheepafrica/africa-nigeria-automotive-gas-oil-diesel-price-watch-eb4fccc7",
+  "rows": 43,
+  "source": {
+    "api_base_url": "https://microdata.nigerianstat.gov.ng/index.php/api/catalog/search",
+    "country_iso3": "NGA",
+    "country_name": "Nigeria",
+    "group_names": "NATIONAL ECONOMY; AGO May 2025 Tables; Diesel_Report_May_2025.xlsx; 0",
+    "license_id": "other-open",
+    "license_title": "Public NBS related material",
+    "license_url": "https://microdata.nigerianstat.gov.ng/index.php/catalog/158",
+    "organization_title": "National Bureau of Statistics, Nigeria",
+    "package_id": "NGA-NBS-AGO",
+    "package_name": "nga-nbs-ago",
+    "package_notes": "The data collection was conducted in sample outlets spread across 774 local government areas in all the 36 states and the FCT, Abuja. The data was collected from over 10,000 respondents located in the outlets. The estimates were derived from the weights generated from household expenditure on fuel and the actual prices households bought those fuels. This data collection exercise was done by over 700 NBS staff in all the states and the FCT and were closely monitored by quality control officers with sophisticated monitoring guidelines. The average prices are reported for each state and the FCT, Abuja accordingly.",
+    "package_page_url": "https://microdata.nigerianstat.gov.ng/index.php/catalog/158/related-materials",
+    "package_title": "Automotive Gas Oil (Diesel) Price Watch",
+    "package_type": "document",
+    "portal_title": "National Bureau of Statistics Microdata Catalog",
+    "portal_url": "https://microdata.nigerianstat.gov.ng",
+    "resource_created": "2025-01-16T09:16:59+00:00",
+    "resource_description": "Table [tbl]",
+    "resource_filename": "Diesel_Report_May_2025.xlsx",
+    "resource_format": "XLSX",
+    "resource_id": "nbs-nada-158-1248",
+    "resource_last_modified": "2025-01-16T09:24:47+00:00",
+    "resource_mimetype": "",
+    "resource_name": "AGO May 2025 Tables",
+    "resource_position": "11",
+    "resource_url": "https://microdata.nigerianstat.gov.ng/index.php/catalog/158/download/1248",
+    "source_catalog_id": "158",
+    "source_idno": "NGA-NBS-AGO",
+    "source_total_downloads": "48626",
+    "source_total_views": "46499",
+    "tag_names": "document; AGO; Table [tbl]; Other Materials"
+  },
+  "year_max": 2025,
+  "year_min": 2025
+}