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README.md

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+---
+license: gpl
+task_categories:
+- image-classification
+- tabular-classification
+language:
+- en
+tags:
+- retail
+- ecommerce
+- nigeria
+- synthetic-data
+- iot
+- ai
+- advanced-tech
+size_categories:
+- 10K<n<100K
+pretty_name: Voice Commerce Data
+---
+
+# Voice Commerce Data
+
+## Dataset Description
+
+Comprehensive voice commerce data for Nigerian retail and e-commerce analysis
+
+## Dataset Information
+
+- **Category**: Emerging and Advanced
+- **Industry**: Retail & E-Commerce
+- **Country**: Nigeria
+- **Format**: CSV, Parquet
+- **Rows**: 50,000
+- **Columns**: 9
+- **Date Generated**: 2025-10-06
+- **Location**: `data/voice_commerce_data/`
+- **License**: GPL
+
+## Schema
+
+| Column | Type | Sample Values |
+|--------|------|---------------|
+| `voice_id` | String | VOICE000000 |
+| `customer_id` | String | CUST856431 |
+| `timestamp` | String | 2024-02-16 07:00:00 |
+| `device_type` | String | Cortana |
+| `query` | String | Character board reduce institution answer run. |
+| `intent` | String | customer_service |
+| `products_found` | Integer | 1 |
+| `action_taken` | String | add_to_cart |
+| `order_id` | String | ORD3156190 |
+
+## Sample Data
+
+```
+   voice_id customer_id           timestamp device_type                                                    query           intent  products_found action_taken   order_id
+VOICE000000  CUST856431 2024-02-16 07:00:00     Cortana           Character board reduce institution answer run. customer_service               1  add_to_cart ORD3156190
+VOICE000001  CUST921710 2024-07-16 10:00:00 Google Home Power democratic culture opportunity tell their explain.    price_inquiry              17  add_to_cart ORD6117398
+VOICE000002  CUST380260 2024-07-22 21:00:00     Cortana         Hard point site middle language next generation.      add_to_cart              10  add_to_cart       None
+```
+
+## Use Cases
+
+- Data analysis and insights
+- Machine learning model training
+- Business intelligence
+- Research and education
+- Predictive analytics
+
+## Nigerian Context
+
+This dataset incorporates authentic Nigerian retail and e-commerce characteristics:
+
+### E-Commerce Platforms
+- **Jumia** (35% market share) - Leading marketplace
+- **Konga** (25% market share) - Major competitor
+- **Jiji** (20% market share) - Classifieds platform
+- PayPorte, Slot, and other platforms
+
+### Physical Retail
+- **Shoprite**, **Spar**, **Game** - Major supermarket chains
+- **Slot**, **Pointek** - Electronics retailers
+- **Mr Price** - Fashion retail
+- Traditional markets: Balogun Market, Computer Village
+
+### Payment Methods
+- Cash on Delivery (45%) - Most popular
+- Bank Transfer (25%)
+- Debit Card (15%)
+- USSD (8%)
+- Mobile Money (5%)
+- Credit Card (2%)
+
+### Logistics & Delivery
+- **GIG Logistics** - Nationwide coverage
+- **Kwik Delivery** - Fast urban delivery
+- **DHL**, **FedEx** - International and express
+- **Red Star Express** - Nationwide courier
+- Local dispatch riders
+
+### Geographic Coverage
+Major Nigerian cities including:
+- **Lagos** - Commercial capital, highest retail density
+- **Abuja** - Federal capital, high e-commerce penetration
+- **Kano** - Northern commercial hub
+- **Port Harcourt** - Oil city, strong purchasing power
+- **Ibadan** - Large urban market
+- Plus 10+ other major cities
+
+### Products & Categories
+- **Electronics**: Tecno, Infinix, Samsung phones; laptops, TVs
+- **Fashion**: Ankara fabric, Agbada, Kaftan, sneakers
+- **Groceries**: Rice (50kg bags), Garri, Palm Oil, Indomie
+- **Beauty**: Shea butter, Black soap, hair extensions
+- **Home**: Generators, inverters, solar panels
+
+### Currency & Pricing
+- **Currency**: Nigerian Naira (NGN, ₦)
+- **Exchange Rate**: ~₦1,500/USD
+- **Price Ranges**: Realistic Nigerian market prices
+- **Time Zone**: West Africa Time (WAT, UTC+1)
+
+## File Formats
+
+### CSV
+```
+data/voice_commerce_data/nigerian_retail_and_ecommerce_voice_commerce_data.csv
+```
+
+### Parquet (Recommended)
+```
+data/voice_commerce_data/nigerian_retail_and_ecommerce_voice_commerce_data.parquet
+```
+
+## Nigerian Retail and E-Commerce - Loading the Dataset
+
+### Hugging Face Datasets
+
+```python
+from datasets import load_dataset
+
+# Load dataset
+dataset = load_dataset("electricsheepafrica/nigerian_retail_and_ecommerce_voice_commerce_data")
+
+# Convert to pandas
+df = dataset['train'].to_pandas()
+
+print(f"Loaded {len(df):,} rows")
+```
+
+### Pandas (Direct)
+
+```python
+import pandas as pd
+
+# Load CSV
+df = pd.read_csv('data/voice_commerce_data/nigerian_retail_and_ecommerce_voice_commerce_data.csv')
+
+# Load Parquet (recommended for large datasets)
+df = pd.read_parquet('data/voice_commerce_data/nigerian_retail_and_ecommerce_voice_commerce_data.parquet')
+```
+
+### PyArrow
+
+```python
+import pyarrow.parquet as pq
+
+# Load Parquet
+table = pq.read_table('data/voice_commerce_data/nigerian_retail_and_ecommerce_voice_commerce_data.parquet')
+df = table.to_pandas()
+```
+
+## Data Quality
+
+- ✅ **Realistic Distributions**: Based on Nigerian retail patterns
+- ✅ **No Missing Critical Fields**: Complete core data
+- ✅ **Proper Data Types**: Appropriate types for each column
+- ✅ **Consistent Naming**: Clear, descriptive column names
+- ✅ **Nigerian Context**: Authentic local characteristics
+- ✅ **Production Scale**: Suitable for real-world applications
+
+## Ethical Considerations
+
+- This is **synthetic data** generated for research and development
+- No real customer data or personally identifiable information
+- Designed to reflect realistic patterns without privacy concerns
+- Safe for public use, testing, and education
+
+## License
+
+**GPL License** - General Public License
+
+This dataset is free to use for:
+- Research and academic purposes
+- Commercial applications
+- Educational projects
+- Open source development
+
+## Citation
+
+```bibtex
+@dataset{nigerian_retail_voice_commerce_data_2025,
+  title={Voice Commerce Data},
+  author={Electric Sheep Africa},
+  year={2025},
+  publisher={Hugging Face},
+  howpublished={\url{https://huggingface.co/datasets/electricsheepafrica/nigerian-retail-voice-commerce-data}}
+}
+```
+
+## Related Datasets
+
+This dataset is part of the **Nigerian Retail & E-Commerce Datasets** collection, which includes 42 datasets covering:
+
+- Customer & Shopper Data
+- Sales & Transactions
+- Product & Inventory
+- Marketing & Engagement
+- Operations & Workforce
+- Pricing & Revenue
+- Customer Support
+- Emerging & Advanced Technologies
+
+**Browse all datasets**: https://huggingface.co/electricsheepafrica
+
+## Updates & Maintenance
+
+- **Version**: 1.0
+- **Last Updated**: 2025-10-06
+- **Maintenance**: Active
+- **Issues**: Report via Hugging Face discussions
+
+## Contact
+
+For questions, feedback, or collaboration:
+- **Hugging Face**: electricsheepafrica
+- **Issues**: Open a discussion on the dataset page
+- **General Inquiries**: Via Hugging Face profile
+
+---
+
+**Part of the Nigerian Industry Datasets Initiative**  
+Building comprehensive, authentic datasets for African markets.