README.md

---
license: mit
task_categories:
- text-classification
language:
- ar
tags:
- religious-scam
- detection
- twitter
- arabic-nlp
pretty_name: Scam Religious Detection Dataset
size_categories:
- 1B<n<10B
---

# Scam Religious Detection Dataset

This dataset is designed for detecting religious-based scams, particularly on social media platforms like Twitter. It contains a collection of tweets categorized into various classes to facilitate the training of machine learning models for scam detection.

## Dataset Details

- **Dataset Name:** Scam-Religious-Detection
- **Primary Language:** Arabic (ar)
- **License:** MIT
- **Total Size:** ~4.89 GB

## Dataset Structure

The dataset consists of several CSV files:

| File Name | Size | Description |
|-----------|------|-------------|
| `TweetsStreamingTotal.csv` | 4.51 GB | Large-scale collection of raw tweets related to religious topics. |
| `scam_religious_corpus_v1.csv` | 225 MB | Curated corpus specifically focused on religious scams. |
| `real_legit_tweets.csv` | 96.9 MB | Collection of legitimate (non-scam) religious tweets. |
| `merged_final_corpus.csv` | 41.8 MB | Merged and cleaned dataset ready for training. |
| `real_scam_tweets.csv` | 11.3 MB | Verified scam religious tweets. |
| `real_suspicious_tweets.csv` | 4.98 MB | Tweets identified as suspicious but requiring further analysis. |

## Usage

You can load this dataset using the Hugging Face `datasets` library:

```python
from datasets import load_dataset

dataset = load_dataset("abdessamad-bourkibate/Scam-Religious-Detection")

## Maintenance
This dataset is maintained by abdessamad-bourkibate.