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README.md

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+---
+language:
+- en
+license: other
+license_name: world-bank-microdata-terms
+license_link: https://microdata.worldbank.org/index.php/terms-of-use
+tags:
+- agriculture
+- financial-inclusion
+- survey-data
+- smallholder-farmers
+- africa
+- nigeria
+- tabular
+pretty_name: "CGAP Smallholder Survey - Nigeria 2016"
+size_categories:
+- 1K<n<10K
+task_categories:
+- tabular-classification
+- tabular-regression
+dataset_info:
+  - config_name: household
+    splits:
+      - name: train
+        num_examples: 3026
+  - config_name: single
+    splits:
+      - name: train
+        num_examples: 2773
+  - config_name: multiple
+    splits:
+      - name: train
+        num_examples: 5128
+configs:
+  - config_name: household
+    data_files: household.parquet
+  - config_name: single
+    data_files: single.parquet
+  - config_name: multiple
+    data_files: multiple.parquet
+---
+
+# CGAP Smallholder Household Survey - Nigeria (2016)
+
+## Dataset Description
+
+Nationally representative household survey of smallholder farming families in **Nigeria**, conducted by the Consultative Group to Assist the Poor (CGAP) in 2016.
+
+### Dataset Summary
+
+| Metric | Value |
+|--------|-------|
+| **Country** | Nigeria |
+| **Year** | 2016 |
+| **Households Surveyed** | ~3,000 |
+| **Total Records** | 10,927 |
+
+### Tables
+
+| Table | Rows | Columns | Description |
+|-------|------|---------|-------------|
+| `household` | 3,026 | 272 | Household-level characteristics |
+| `single` | 2,773 | 1,223 | Single respondent detailed survey |
+| `multiple` | 5,128 | 471 | Repeated measures (members, plots, livestock) |
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+# Load household-level data
+household = load_dataset("electricsheepafrica/cgap-smallholder-survey-nigeria-2016", "household", split="train")
+
+# Load single respondent data
+single = load_dataset("electricsheepafrica/cgap-smallholder-survey-nigeria-2016", "single", split="train")
+
+# Load multiple respondent data
+multiple = load_dataset("electricsheepafrica/cgap-smallholder-survey-nigeria-2016", "multiple", split="train")
+```
+
+### With Pandas
+
+```python
+import pandas as pd
+df = pd.read_parquet("hf://datasets/electricsheepafrica/cgap-smallholder-survey-nigeria-2016/household.parquet")
+```
+
+## Features
+
+The dataset covers:
+
+- **Demographics**: Household composition, age, gender, education levels
+- **Agriculture**: Crops cultivated, land holdings, livestock, farming practices
+- **Financial Services**: Bank accounts, mobile money usage, savings groups, credit access
+- **Income & Expenditure**: Income sources, consumption patterns
+- **Assets**: Household and productive assets
+- **Shocks**: Economic shocks and coping mechanisms
+
+## Suggested ML Tasks
+
+- Financial inclusion prediction (binary classification)
+- Income/wealth classification
+- Household segmentation (clustering)
+- Agricultural productivity prediction
+- Vulnerability/poverty risk assessment
+
+## Source
+
+- **Publisher**: Consultative Group to Assist the Poor (CGAP)
+- **Host**: World Bank Microdata Library
+- **URL**: https://www.cgap.org/research/data/smallholder-families-data-hub
+
+## Citation
+
+```bibtex
+@misc{cgap_smallholder_nga_2016,
+  title={CGAP Smallholder Families Household Survey - Nigeria},
+  author={{Consultative Group to Assist the Poor}},
+  year={2016},
+  publisher={World Bank Microdata Library}
+}
+```
+
+## License
+
+Subject to World Bank Microdata Library [Terms of Use](https://microdata.worldbank.org/index.php/terms-of-use). Intended for research and educational purposes.