Update README.md

README.md

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----
-license: mit
----
+---
+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.