---
dataset_info:
- config_name: default
  features:
  - name: id
    dtype: int64
  - name: event
    dtype: string
  - name: news_headline
    dtype: string
  - name: news_body
    dtype: string
  - name: source_link
    dtype: string
  - name: date
    dtype: string
  - name: news_corpora_name
    dtype: string
  - name: label
    dtype: string
  splits:
  - name: test
    num_bytes: 2337300
    num_examples: 200
  download_size: 818627
  dataset_size: 2337300
- config_name: test
  features:
  - name: id
    dtype: int64
  - name: event
    dtype: string
  - name: news_headline
    dtype: string
  - name: news_body
    dtype: string
  - name: source_link
    dtype: string
  - name: date
    dtype: string
  - name: news_corpora_name
    dtype: string
  - name: label
    dtype: string
  splits:
  - name: train
    num_bytes: 2337300
    num_examples: 200
  download_size: 818627
  dataset_size: 2337300
configs:
- config_name: default
  data_files:
  - split: test
    path: data/test-*
- config_name: test
  data_files:
  - split: train
    path: test/train-*
license: mit
task_categories:
- text-classification
language:
- bn
tags:
- politics
- political-bias
- stance-detection
- political-bias
- news-analysis
- bengali
- bangla
pretty_name: BanglaBias
size_categories:
- n<1K
---


# Bangla Article Stance Detection Benchmark Dataset

## Dataset Summary

The **Bangla Article Stance Detection Benchmark Dataset** is a comprehensive resource for detecting political bias and stance in Bengali (Bangla) news articles. This dataset features human-annotated labels for stance detection, enabling researchers to train and evaluate models for identifying political bias in Bengali journalism.

This dataset is part of the research paper **"Read Between the Lines: A Benchmark for Uncovering Political Bias in Bangla News Articles"** (Accepted to BLP at AACL 2025).

📄 **Paper**: [arXiv:2510.03898](https://arxiv.org/abs/2510.03898)  
🌐 **Project Website**: [https://nusrat-lia.github.io/BanglaBias/](https://nusrat-lia.github.io/BanglaBias/)

### Supported Tasks and Leaderboards

- **Text Classification**: Stance detection and political bias classification
- **Sentiment Analysis**: Analyzing the stance of news articles toward government actions
- **Media Bias Analysis**: Understanding bias patterns in Bengali journalism

### Languages

The dataset is in **Bengali (Bangla)** (`bn`).

## Dataset Structure

### Data Instances

A typical data instance contains:

```python
{
    'id': 1,
    'event': 'তাজরীন ফ্যাশন অগ্নিকাণ্ড',
    'news_headline': 'তাজরীন অগ্নিকাণ্ড: 'কেয়ামতের আগে আর মেয়েটাকে দেখতে পাবো না'',
    'news_body': 'বাংলাদেশে তাজরীন গার্মেন্টসে ভয়াবহ অগ্নিকাণ্ডের সাত বছর পরও...',
    'source_link': 'https://www.bbc.com/bengali/news-42103660',
    'date': '2017-11-24',
    'news_corpora_name': 'BBC Bangla',
    'label': 'Govt critique'
}
```

### Data Fields

- `id` (int): Unique identifier for each article
- `event` (string): The event or topic the article discusses (in Bengali)
- `news_headline` (string): The headline of the news article in Bengali
- `news_body` (string): The full text content of the news article in Bengali
- `source_link` (string): URL to the original article source
- `date` (string): Publication date of the article
- `news_corpora_name` (string): Source publication name (e.g., BBC Bangla, The Daily Star, Prothom Alo, etc.)
- `label` (string): Human-annotated stance label with three possible values:
  - `Govt critique`: Articles critical of the government
  - `Govt leaning`: Articles supportive or favorable toward the government
  - `Neutral`: Articles maintaining a neutral stance

## Usage Example

```python
from datasets import load_dataset

# Load the dataset
dataset = load_dataset("dipta007/BanglaBias")

# Access the data
for example in dataset['train']:
    print(f"ID: {example['id']}")
    print(f"Event: {example['event']}")
    print(f"Headline: {example['news_headline']}")
    print(f"Source: {example['news_corpora_name']}")
    print(f"Date: {example['date']}")
    print(f"Label: {example['label']}")
    print(f"Article preview: {example['news_body'][:100]}...")
    print(f"Link: {example['source_link']}")
    print("---")
```

## Additional Information

### Dataset Curators

This dataset was curated by researchers from the paper:
- [Nusrat Jahan Lia](https://nusrat-lia.github.io/Nusrat-Jahan-Lia/)
- [Shubhashis Roy Dipta](https://roydipta.com)
- Abdullah Khan Zehady
- Naymul Islam
- Madhusodan Chakraborty
- Abdullah Al Wasif

### Citation Information

If you use this dataset in your research, please cite:

```bibtex
@article{lia2025read,
  title={Read Between the Lines: A Benchmark for Uncovering Political Bias in Bangla News Articles},
  author={Lia, Nusrat Jahan and Dipta, Shubhashis Roy and Zehady, Abdullah Khan and Islam, Naymul and Chakraborty, Madhusodan and Wasif, Abdullah Al},
  journal={arXiv preprint arXiv:2510.03898},
  year={2025}
}
```
## Contact

For questions or concerns about this dataset, please refer to the paper or contact the authors.