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RealFakeNews / README.md
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Rename Readme.md to README.md
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# 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**.
---
## 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/)
---
## 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.
---
## 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
---
## 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"
}
```
---
## ⚠️ 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.