# Chatbot and Live Chat Logs

## Dataset Description

Text-based customer interactions with chatbots and support agents

## Dataset Information

- **Category**: Customer Experience and Sentiment
- **Format**: CSV, Parquet
- **Rows**: 400,000
- **Columns**: 14
- **Date Generated**: 2025-10-05
- **Location**: `data/chatbot_and_live_chat_logs/`

## Schema

| Column | Type | Sample Values |
|--------|------|---------------|
| `session_id` | String | CHAT00000001 |
| `session_start` | Datetime | 2025-09-16 06:01:00 |
| `session_end` | Datetime | 2025-09-16 06:02:47 |
| `duration_seconds` | Integer | 107 |
| `customer_id` | String | CUST5465481 |
| `operator` | String | MTN |
| `channel` | String | whatsapp |
| `intent` | String | port_number |
| `handled_by` | String | bot |
| `escalated_to_human` | Boolean | False |
| `message_count` | Integer | 14 |
| `resolved` | Boolean | True |
| `customer_satisfaction` | Integer | 5 |
| `language` | String | english |

## Sample Data

```
  session_id       session_start         session_end  duration_seconds customer_id operator  channel      intent handled_by  escalated_to_human  message_count  resolved  customer_satisfaction language
CHAT00000001 2025-09-16 06:01:00 2025-09-16 06:02:47               107 CUST5465481      MTN whatsapp port_number        bot               False             14      True                      5  english
CHAT00000002 2025-09-03 00:38:00 2025-09-03 00:42:49               289 CUST7117483   Airtel      app port_number        bot               False             21      True                      5  english
CHAT00000003 2025-09-09 01:23:00 2025-09-09 01:36:55               835 CUST4948915      MTN      app port_number      human                True              6      True                      3  english
```

## 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/chatbot_and_live_chat_logs/chatbot_and_live_chat_logs.csv
```

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

## Loading the Dataset

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

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

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

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

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

## License

MIT License - For educational and research purposes

## Citation

```
Nigerian Telecom Datasets - Chatbot and Live Chat Logs
Generated: 2025-10-05
Category: Customer Experience and Sentiment
Rows: 400,000
```

## 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.