---
license: cc-by-4.0
configs:
- config_name: human_annotated
  data_files:
  - split: train
    path: WhatsApp_annotated_dataset.csv
- config_name: raw
  data_files:
  - split: train
    path: msg.csv
tags:
- code-mixing
- political-discourse
- social-media
- whatsapp
task_categories:
- text-classification
size_categories:
- 1M<n<10M
language:
- hi
- en
---

## 🗂️ Dataset Overview

**PoliWAM** is a large-scale corpus of WhatsApp political discussions collected during the Indian General Elections 2019. It consists of both raw and annotated data, enabling research in political discourse, misinformation, propaganda, and multilingual code-mixing.

- **Total Messages**: 223,000  
- **Groups**: 281 public political groups  
- **Users**: ~31,000 unique users  
- **Annotation Subset**: 3,848 messages manually labeled for:
  - Political Orientation
  - Linguistic Composition
  - Malicious Intent
  - Inclination Toward Specific Parties

### Dataset Description

- **Curated by:** [Lingo Research Group at IIT Gandhinagar](https://lingo.iitgn.ac.in/)
- **Language(s) (NLP):** Bilingual (Hindi [hi], English [en]), with traces of other Indian languages (e.g., Marathi, Gujarati, Bengali).
- **Licensed by:** cc-by-4.0

### Dataset Usage Disclaimer ‼️

<span style="color:red">This dataset contains real-world political discussions collected from public WhatsApp groups. It may include biased, offensive, or potentially harmful content, such as hate speech, misinformation, or political propaganda. The dataset is released strictly for academic research and should be used with appropriate ethical safeguards and content moderation strategies.</span>

## Contact US ✉️

[Lingo Research Group at IIT Gandhinagar, India](https://labs.iitgn.ac.in/lingo/) </br> 
Mail at: [lingo@iitgn.ac.in](lingo@iitgn.ac.in)

## Citation

If you use this dataset, please cite the following work:
```
@inproceedings{srivastava-singh-2021-poliwam,
    title = "{P}oli{WAM}: An Exploration of a Large Scale Corpus of Political Discussions on {W}hats{A}pp Messenger",
    author = "Srivastava, Vivek  and
      Singh, Mayank",
    editor = "Xu, Wei  and
      Ritter, Alan  and
      Baldwin, Tim  and
      Rahimi, Afshin",
    booktitle = "Proceedings of the Seventh Workshop on Noisy User-generated Text (W-NUT 2021)",
    month = nov,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.wnut-1.15/",
    doi = "10.18653/v1/2021.wnut-1.15",
    pages = "120--130"
}
```