README.md

# Worldwide Terrorism Dataset (Raw)

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This dataset contains raw, pre-encoded data related to worldwide terrorism activities. The data is available in both CSV and Parquet formats. The dataset is intended for use in machine learning projects, particularly those involving text processing, natural language processing, and data analysis in the field of counter-terrorism.

## Dataset Structure

### Files

- **CSV File**: \`csv_terrorism_pre_encoding_0x0.csv\`
  - Format: Comma-Separated Values (CSV)
  - Description: Contains raw, unprocessed data in a structured tabular format.

- **Parquet File**: \`pq_terrorism_pre_encoding_0x0.parquet\`
  - Format: Parquet
  - Description: Contains the same data as the CSV file, stored in a columnar format that is optimized for fast reading and writing.

### Columns

- **Event ID**: Unique identifier for each terrorism-related event.
- **Date**: The date on which the event occurred.
- **Country**: The country where the event took place.
- **City**: The city where the event took place.
- **Group**: The group responsible for the event.
- **Target Type**: The type of target attacked in the event.
- **Weapon Type**: The type of weapon used in the event.
- **Number of Fatalities**: The number of people who died in the event.
- **Number of Injuries**: The number of people injured in the event.

## Usage

You can load this dataset using the \`datasets\` library in Python:

```python
from datasets import load_dataset

dataset = load_dataset(\"synavate/worldwide_terrorism_raw0x0\")
```