Update README.md

README.md

@@ -1,5 +1,6 @@
 ---
 dataset_info:
+- config_name: default
   features:
   - name: id
     dtype: int64
@@ -23,9 +24,157 @@ dataset_info:
     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.