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abdessamad-bourkibate/Scam-Religious-Detection

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… See the full description on the dataset page: https://huggingface.co/datasets/abdessamad-bourkibate/Scam-Religious-Detection.

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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.