# RealFakeNews: A Dataset for Detecting Fake News

**RealFakeNews** is a dataset of over **108,000 news samples**, created to support the development of models that detect misinformation. Each entry contains a short news article along with a label indicating whether it’s **real** or **fake**.

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##  What's in the Dataset?

- **Samples**: 108,032  
- **Columns**:  
  - `text`: News content (string)  
  - `label`: Classification label (string: `REAL` or `FAKE`)  
- **Language**: English  
- **Format**: CSV  
- **License**: [CC BY‑NC‑SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/)

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##  Label Distribution

| Label | Meaning    | Count   |
|-------|------------|---------|
| REAL  | Real News  | 64,641  |
| FAKE  | Fake News  | 43,391  |

> The dataset is slightly imbalanced, with more real news than fake news entries.

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##  Use Cases

- Fake news classification  
- NLP experiments on misinformation  
- Training and fine‑tuning transformers (e.g., BERT, RoBERTa)  
- Evaluation using classification metrics like Accuracy, F1-score, ROC-AUC  

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##  Sample Entry

```json
{
  "text": "From India Censoring Internet Archive To No Night On Aug 12: Not Real....No! Banks are NOT charging Rs 150 after 4 transactions on...",
  "label": "FAKE"
}
```

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## ⚠️ Warning

- **Misinformation Risk**: This dataset includes content labeled as "FAKE" that may contain false or misleading information. Even "REAL" entries may not be fully accurate or current.
- **Not for Automated Fact-Checking**: Models trained using this dataset should not be used to make critical decisions or perform real-world fact-checking without human oversight.
- **Potential Bias**: While the data comes from a range of sources, biases may still exist in topic selection, language, or cultural framing.
- **Research & Educational Use Only**: This dataset is intended strictly for non-commercial research and educational purposes. Commercial use requires separate permission.

> Use this dataset responsibly and with awareness of its limitations.