---
license: gpl
task_categories:
- text-classification
language:
- en
tags:
- telecom
- ultra
- low
- latency
size_categories:
- 100K<n<1M
---
# Ultra Low Latency Logs

## Dataset Description

Performance data for delay-sensitive 5G applications

## Dataset Information

- **Category**: Emerging and Advanced
- **Format**: CSV, Parquet
- **Rows**: 200,000
- **Columns**: 13
- **Date Generated**: 2025-10-05
- **Location**: `data/ultra_low_latency_logs/`

## Schema

| Column | Type | Sample Values |
|--------|------|---------------|
| `session_id` | String | ULL00000001 |
| `timestamp` | Datetime | 2025-09-28 10:24:48 |
| `application` | String | ar_vr_gaming |
| `city` | String | Abuja |
| `tower_id` | String | ABU-7937 |
| `latency_ms` | Float | 8.53 |
| `jitter_ms` | Float | 2.68 |
| `packet_loss_percent` | Float | 0.139 |
| `throughput_mbps` | Float | 381.72 |
| `session_duration_seconds` | Integer | 4549 |
| `qos_met` | Boolean | True |
| `operator` | String | MTN |
| `device_type` | String | iot_device |

## Sample Data

```
 session_id           timestamp         application          city tower_id  latency_ms  jitter_ms  packet_loss_percent  throughput_mbps  session_duration_seconds  qos_met operator device_type
ULL00000001 2025-09-28 10:24:48        ar_vr_gaming         Abuja ABU-7937        8.53       2.68                0.139           381.72                      4549     True      MTN  iot_device
ULL00000002 2025-09-30 15:12:57  autonomous_driving Port Harcourt POR-7753        2.80       0.26                0.025            87.31                      2792     True      Glo  iot_device
ULL00000003 2025-09-21 07:56:42 industrial_robotics         Lagos LAG-6023        1.30       0.67                0.016           144.03                       495     True      Glo     vehicle
```

## Nigerian Context

This dataset incorporates authentic Nigerian telecommunications characteristics:

- **Geographic Coverage**: Major Nigerian cities including Lagos, Abuja, Kano, Port Harcourt, Ibadan
- **Operators**: MTN, Airtel, Glo, 9mobile with realistic market shares
- **Phone Numbers**: Nigerian format (+234 prefixes)
- **Currency**: Nigerian Naira (NGN)
- **Time Zone**: West Africa Time (WAT, UTC+1)
- **Network Types**: 2G, 3G, 4G, 5G distribution

## File Formats

### CSV
```
data/ultra_low_latency_logs/ultra_low_latency_logs.csv
```

### Parquet (Recommended)
```
data/ultra_low_latency_logs/ultra_low_latency_logs.parquet
```

## Loading the Dataset

### Python (Pandas)
```python
import pandas as pd

# Load CSV
df = pd.read_csv('data/ultra_low_latency_logs/ultra_low_latency_logs.csv')

# Load Parquet (recommended for large datasets)
df = pd.read_parquet('data/ultra_low_latency_logs/ultra_low_latency_logs.parquet')
```

### Python (PyArrow)
```python
import pyarrow.parquet as pq

# Load Parquet
table = pq.read_table('data/ultra_low_latency_logs/ultra_low_latency_logs.parquet')
df = table.to_pandas()
```

## License

MIT License - For educational and research purposes

## Citation

```
Nigerian Telecom Datasets - Ultra Low Latency Logs
Generated: 2025-10-05
Category: Emerging and Advanced
Rows: 200,000
```

## Related Datasets

This dataset is part of the Nigerian Telecom Datasets collection, which includes 34 datasets covering network performance, customer behavior, financial transactions, infrastructure, geospatial data, customer experience, and emerging technologies.