electricsheepafrica/nigerian_transport_and_logistics_maintenance_logs

# Nigeria Transport & Logistics – Maintenance & Repair Logs

Service history, parts replaced, labor hours, costs, scheduling, odometer.

- **[category]** Vehicle & Fleet Data
- **[rows]** ~120,000
- **[formats]** CSV + Parquet (snappy)
- **[geography]** Nigeria (major cities, corridors, ports, airports)

## Schema

| column | dtype |

|---|---| | service_id | object | | vehicle_id | object | | fleet | object | | vehicle_type | object | | service_time | object | | odometer_km | float64 | | work_type | object | | parts_list | object | | labor_hr | float64 | | cost_ngn | float64 | | service_center_id | object | | scheduled | bool | | warranty_claim | bool | | next_due_km | float64 |

## Usage

```python
import pandas as pd
df = pd.read_parquet('data/nigerian_transport_and_logistics_maintenance_logs/nigerian_transport_and_logistics_maintenance_logs.parquet')
df.head()
```

```python
from datasets import load_dataset
ds = load_dataset('electricsheepafrica/nigerian_transport_and_logistics_maintenance_logs')
ds
```

## Notes

- Nigeria-specific parameters (fleets, roads, traffic, fuel prices)
- Time-of-day traffic effects and seasonal impacts where applicable
- Physical plausibility checks embedded during generation