Datasets:

abdessamad-bourkibate
/

Scam-Religious-Detection

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:

from datasets import load_dataset

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

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