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
+- zip
+- africa
+- nigeria
+- official-statistics
+- open-data
+pretty_name: "Sectorial Distribution of Value Added Tax | Africa (Nigeria official open data)"
+---
+
+# Sectorial Distribution of Value Added Tax | Africa (Nigeria official open data)
+
+33 rows - 1 Africa country - 2025 - Repackaged by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)
+
+![rows](https://img.shields.io/badge/rows-33-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 `ZIP` 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:** [Sectorial Distribution of Value Added Tax](https://microdata.nigerianstat.gov.ng/index.php/catalog/144/related-materials)
+- **Publisher:** National Bureau of Statistics, Nigeria
+- **Resource:** [Q3 2025 Value Added Tax Report](https://microdata.nigerianstat.gov.ng/index.php/catalog/144/download/1367)
+- **Format:** `ZIP`
+- **License:** [Other open license]()
+- **Packaging mode:** `tabular_resource`
+
+## Geographic coverage
+
+1 Africa country:
+
+| Country | Rows | First year | Last year | Name |
+|---------|-----:|-----------:|----------:|------|
+| `NGA` | 33 | 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-144-1367:0` |
+| `country_iso3` | `string` | ISO3 country code. | `NGA` |
+| `country_name` | `string` | Country name. | `Nigeria` |
+| `year` | `Int64` | Observation year. | `2025` |
+| `s_no` | `float64` | Source column. | `1.0` |
+| `classification` | `string` | Source column. | `Agricultural and Plantations` |
+| `value_added_tax` | `float64` | Source column. | `986040359.3600004` |
+| `value_added_tax_2` | `float64` | Source column. | `760027461.81` |
+| `s_no_2` | `float64` | Source column. | `1.0` |
+| `classification_2` | `string` | Source column. | `Accommodation and food service activities` |
+| `vat` | `float64` | Source column. | `3705451942.290017` |
+| `vat_2` | `float64` | Source column. | `4240103965.4800186` |
+| `s_no_3` | `float64` | Source column. | `1.0` |
+| `classification_3` | `string` | Source column. | `Accommodation and food service activities` |
+| `vat_3` | `float64` | Source column. | `3682274009.360012` |
+| `vat_4` | `float64` | Source column. | `5244847632.839991` |
+| `vat_5` | `float64` | Source column. | `5475499410.829984` |
+| `vat_6` | `float64` | Source column. | `5075921853.713215` |
+| `total` | `float64` | Source column. | `19478542906.7432` |
+| `vat_7` | `float64` | Source column. | `5569337421.519998` |
+| `vat_8` | `float64` | Source column. | `5600239661.9800005` |
+| `vat_9` | `float64` | Source column. | `6256635920.549988` |
+| `vat_10` | `float64` | Source column. | `7186395308.54` |
+| `total_2` | `float64` | Source column. | `24612608312.58999` |
+| `vat_11` | `float64` | Source column. | `11437027539.30998` |
+| `vat_12` | `float64` | Source column. | `10341770557.289972` |
+| `vat_13` | `float64` | Source column. | `11795487600.829931` |
+| `vat_14` | `float64` | Source column. | `13048682612.53996` |
+| `total_3` | `float64` | Source column. | `46622968309.96985` |
+| `vat_15` | `float64` | Source column. | `13576714797.349953` |
+| `vat_16` | `float64` | Source column. | `11992652204.309977` |
+| `vat_17` | `float64` | Source column. | `13239844086.47992` |
+| `qonq` | `float64` | Source column. | `10.399633549964244` |
+| `yony` | `float64` | Source column. | `12.244991767431156` |
+| `share` | `float64` | Source column. | `1.1787937509132425` |
+| `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. | `Sectorial Distribution of Value Added Tax` |
+| `source_resource` | `string` | Source resource title. | `Q3 2025 Value Added Tax Report` |
+| `source_package_id` | `string` | CKAN package UUID. | `NGA-NBS-VAT` |
+| `source_resource_id` | `string` | CKAN resource UUID. | `nbs-nada-144-1367` |
+| `source_url` | `string` | Original source resource URL. | `https://microdata.nigerianstat.gov.ng/index.php/catalog/144/download/136` |
+| `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-sectorial-distribution-of-value-added-tax-93738320")
+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_sectorial_distribution_of_value_added_tax_93738320_2025,
+  title        = {Sectorial Distribution of Value Added Tax | Africa (Nigeria official open data)},
+  author       = {National Bureau of Statistics, Nigeria},
+  year         = {2025},
+  url          = {https://microdata.nigerianstat.gov.ng/index.php/catalog/144/related-materials},
+  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
+  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-nigeria-sectorial-distribution-of-value-added-tax-93738320}}
+}
+```
+
+## 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/144/download/1367

data/train-00000-of-00001.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:1b94ada36b54f2669ec335b789b9dc43b81048ace6b933c7e23986ef3f8d3dd4
+size 36463

metadata/source_snapshot.json

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+{
+  "columns": [
+    "source_record_id",
+    "country_iso3",
+    "country_name",
+    "year",
+    "s_no",
+    "classification",
+    "value_added_tax",
+    "value_added_tax_2",
+    "s_no_2",
+    "classification_2",
+    "vat",
+    "vat_2",
+    "s_no_3",
+    "classification_3",
+    "vat_3",
+    "vat_4",
+    "vat_5",
+    "vat_6",
+    "total",
+    "vat_7",
+    "vat_8",
+    "vat_9",
+    "vat_10",
+    "total_2",
+    "vat_11",
+    "vat_12",
+    "vat_13",
+    "vat_14",
+    "total_3",
+    "vat_15",
+    "vat_16",
+    "vat_17",
+    "qonq",
+    "yony",
+    "share",
+    "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": "2026-07-19T04:23:16Z",
+  "indicator_count": 0,
+  "mode": "tabular_resource",
+  "repo_id": "electricsheepafrica/africa-nigeria-sectorial-distribution-of-value-added-tax-93738320",
+  "rows": 33,
+  "source": {
+    "api_base_url": "https://microdata.nigerianstat.gov.ng/index.php/api/catalog/search",
+    "country_iso3": "NGA",
+    "country_name": "Nigeria",
+    "group_names": "NATIONAL ECONOMY; Q3 2025 Value Added Tax Report; VAT_Q3_2025.zip; 0",
+    "license_id": "other-open",
+    "license_title": "Public NBS related material",
+    "license_url": "https://microdata.nigerianstat.gov.ng/index.php/catalog/144",
+    "organization_title": "National Bureau of Statistics, Nigeria",
+    "package_id": "NGA-NBS-VAT",
+    "package_name": "nga-nbs-vat",
+    "package_notes": "",
+    "package_page_url": "https://microdata.nigerianstat.gov.ng/index.php/catalog/144/related-materials",
+    "package_title": "Sectorial Distribution of Value Added Tax",
+    "package_type": "document",
+    "portal_title": "National Bureau of Statistics Microdata Catalog",
+    "portal_url": "https://microdata.nigerianstat.gov.ng",
+    "resource_created": "2024-12-06T16:22:09+00:00",
+    "resource_description": "Document, Report [doc/rep]",
+    "resource_filename": "VAT_Q3_2025.zip",
+    "resource_format": "ZIP",
+    "resource_id": "nbs-nada-144-1367",
+    "resource_last_modified": "2024-12-06T16:43:38+00:00",
+    "resource_mimetype": "",
+    "resource_name": "Q3 2025 Value Added Tax Report",
+    "resource_position": "2",
+    "resource_url": "https://microdata.nigerianstat.gov.ng/index.php/catalog/144/download/1367",
+    "source_catalog_id": "144",
+    "source_idno": "NGA-NBS-VAT",
+    "source_total_downloads": "3884",
+    "source_total_views": "7788",
+    "tag_names": "document; VAT; Document, Report [doc/rep]; Reports"
+  },
+  "year_max": 2025,
+  "year_min": 2025
+}