Upload dataset folder

README.md

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+---
+license: cc-by-4.0
+language:
+- en
+task_categories:
+- tabular-regression
+- time-series-forecasting
+multilinguality: monolingual
+size_categories:
+- 10K<n<100K
+tags:
+- tabular
+- xlsx
+- africa
+- chad
+- official-statistics
+- open-data
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-00000-of-00001.parquet
+pretty_name: "African Financial Survey Database, 2016 | Africa (Chad official open data)"
+---
+
+# African Financial Survey Database, 2016 | Africa (Chad official open data)
+
+27,772 rows - 1 Africa country - 2005-2014 - Repackaged by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)
+
+![rows](https://img.shields.io/badge/rows-27772-blue)
+![countries](https://img.shields.io/badge/countries-1-green)
+![years](https://img.shields.io/badge/years-2005-2014-orange)
+![indicators](https://img.shields.io/badge/indicators-1-purple)
+![license](https://img.shields.io/badge/license-cc-by-4.0-lightgrey)
+
+## TL;DR
+
+This dataset packages one official `XLSX` resource from **Chad** 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:** [African Financial Survey Database, 2016](https://data.humdata.org/dataset/african-financial-survey-database-2016)
+- **Publisher:** African Development Bank Group (inactive)
+- **Resource:** [African Financial Survey.xlsx](https://data.humdata.org/dataset/b86e546e-c1ea-4c07-9d5e-4fcce746a127/resource/82781d9d-1e12-441c-a1f8-bdd682db5b83/download/african-financial-survey.xlsx)
+- **Format:** `XLSX`
+- **License:** [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)
+- **Packaging mode:** `indicator_long`
+
+## Geographic coverage
+
+1 Africa country:
+
+| Country | Rows | First year | Last year | Name |
+|---------|-----:|-----------:|----------:|------|
+| `TCD` | 27,772 | 2005 | 2014 | `Chad` |
+
+## Indicators or Resource Contents
+
+- `african-financial-survey-database-2016-8ebb7dee` - African Financial Survey Database, 2016
+
+## Schema
+
+| Column | Type | Description | Example |
+|--------|------|-------------|---------|
+| `indicator_id` | `string` | Stable indicator identifier. | `african-financial-survey-database-2016-8ebb7dee` |
+| `indicator_name` | `string` | Human-readable indicator name. | `African Financial Survey Database, 2016` |
+| `country_iso3` | `string` | ISO3 country code. | `TCD` |
+| `source_sheet` | `string` | Workbook sheet name, when the source is a spreadsheet. | `Sheet1` |
+| `country_name` | `string` | Country name. | `Chad` |
+| `year` | `Int64` | Observation year. | `2005` |
+| `value` | `float64` | Numeric observation value. | `33.960903` |
+| `unit` | `string` | Measurement unit, when available. | `source_units_unspecified` |
+| `dimension_countryname` | `string` | Source dimension. | `Algeria` |
+| `dimension_pays` | `string` | Source dimension. | `Algérie` |
+| `dimension_country` | `string` | Source dimension. | `DZA` |
+| `dimension_capital` | `string` | Source dimension. | `Algiers` |
+| `dimension_capitale` | `string` | Source dimension. | `Alger` |
+| `dimension_currency` | `string` | Source dimension. | `Algerian Dinar` |
+| `dimension_monnaie` | `string` | Source dimension. | `Dinar Algérien` |
+| `dimension_region` | `string` | Source dimension. | `North Africa` |
+| `dimension_indicator` | `string` | Source dimension. | `AF1` |
+| `dimension_indicatorname` | `string` | Source dimension. | `Total Population - Million` |
+| `dimension_unit` | `string` | Source dimension. | `Million` |
+| `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. | `2016` |
+| `source_period_label` | `category` | Human-readable period inferred from source resource metadata. | `2016` |
+| `source_provider` | `category` | Publishing organization. | `African Development Bank Group (inactive)` |
+| `source_dataset` | `category` | Source package title. | `African Financial Survey Database, 2016` |
+| `source_resource` | `category` | Source resource title. | `African Financial Survey.xlsx` |
+| `source_package_id` | `category` | CKAN package UUID. | `b86e546e-c1ea-4c07-9d5e-4fcce746a127` |
+| `source_resource_id` | `category` | CKAN resource UUID. | `82781d9d-1e12-441c-a1f8-bdd682db5b83` |
+| `source_url` | `category` | Original source resource URL. | `https://data.humdata.org/dataset/b86e546e-c1ea-4c07-9d5e-4fcce746a127/re` |
+| `license_id` | `category` | Source license identifier. | `cc-by` |
+| `retrieved_at` | `category` | UTC retrieval timestamp. | `2026-08-10T22:51:43Z` |
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("electricsheepafrica/africa-chad-african-financial-survey-database-2016-cf495a06")
+df = ds["train"].to_pandas()
+print(df.head())
+```
+
+### Filter to one country
+
+```python
+sample_country = df[df["country_iso3"] == "TCD"]
+```
+
+### 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_chad_african_financial_survey_database_2016_cf495a06_2014,
+  title        = {African Financial Survey Database, 2016 | Africa (Chad official open data)},
+  author       = {African Development Bank Group (inactive)},
+  year         = {2014},
+  url          = {https://data.humdata.org/dataset/african-financial-survey-database-2016},
+  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
+  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-chad-african-financial-survey-database-2016-cf495a06}}
+}
+```
+
+## License
+
+Released under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/).
+
+Original data (c) African Development Bank Group (inactive). 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 2026-08-11 via the Electric Sheep pipeline. Source URL:
+https://data.humdata.org/dataset/b86e546e-c1ea-4c07-9d5e-4fcce746a127/resource/82781d9d-1e12-441c-a1f8-bdd682db5b83/download/african-financial-survey.xlsx

data/train-00000-of-00001.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:4420d93c9dd0742984f7c6bfd077252c57a4f7ca8a5bc15c5116e279740acfb2
+size 246842

metadata/source_snapshot.json

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+{
+  "columns": [
+    "indicator_id",
+    "indicator_name",
+    "country_iso3",
+    "source_sheet",
+    "country_name",
+    "year",
+    "value",
+    "unit",
+    "dimension_countryname",
+    "dimension_pays",
+    "dimension_country",
+    "dimension_capital",
+    "dimension_capitale",
+    "dimension_currency",
+    "dimension_monnaie",
+    "dimension_region",
+    "dimension_indicator",
+    "dimension_indicatorname",
+    "dimension_unit",
+    "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": "2026-08-11T01:37:25Z",
+  "indicator_count": 1,
+  "mode": "indicator_long",
+  "repo_id": "electricsheepafrica/africa-chad-african-financial-survey-database-2016-cf495a06",
+  "rows": 27772,
+  "source": {
+    "api_base_url": "https://data.humdata.org/api/3/action",
+    "country_iso3": "TCD",
+    "country_name": "Chad",
+    "group_names": "dza,ago,ben,bwa,bfa,bdi,cpv,cmr,caf,tcd,com,cog,civ,cod,dji,egy,gnq,eri,swz,eth,gab,gmb,gha,gin,gnb,ken,lso,lbr,lby,mdg,mwi,mli,mrt,mus,myt,mar,moz,nam,ner,nga,reu,rwa,shn,stp,sen,syc,sle,som,zaf,ssd,sdn,tgo,tun,uga,tza,esh,zmb,zwe",
+    "license_id": "cc-by",
+    "license_title": "Creative Commons Attribution International (CC BY)",
+    "license_url": "http://www.opendefinition.org/licenses/cc-by",
+    "organization_name": "afdb",
+    "organization_title": "African Development Bank Group (inactive)",
+    "package_id": "b86e546e-c1ea-4c07-9d5e-4fcce746a127",
+    "package_name": "african-financial-survey-database-2016",
+    "package_notes": "African Financial Survey Database, 2005-2014",
+    "package_page_url": "https://data.humdata.org/dataset/african-financial-survey-database-2016",
+    "package_title": "African Financial Survey Database, 2016",
+    "portal_url": "https://data.humdata.org",
+    "resource_description": "http://opendataforafrica.org/lhqjltd/african-financial-survey-database-2016",
+    "resource_format": "XLSX",
+    "resource_id": "82781d9d-1e12-441c-a1f8-bdd682db5b83",
+    "resource_last_modified": "2016-11-24T11:09:56.626643",
+    "resource_name": "African Financial Survey.xlsx",
+    "resource_position": "0",
+    "resource_url": "https://data.humdata.org/dataset/b86e546e-c1ea-4c07-9d5e-4fcce746a127/resource/82781d9d-1e12-441c-a1f8-bdd682db5b83/download/african-financial-survey.xlsx",
+    "tag_names": "africa,economics,gross domestic product-gdp"
+  },
+  "year_max": 2014,
+  "year_min": 2005
+}