sanjidh90/KUET_whispers_Dataset

📘 Dataset Card: KUET Whispers

🧾 Overview

KUET Whispers is a curated dataset of anonymous, emotionally expressive posts collected from HazyBoard—a student-run, anonymous confessions platform at Khulna University of Engineering & Technology (KUET) in Bangladesh. The dataset captures natural, informal, and highly engaging text data in Bangla, English, and code-mixed formats, making it suitable for a range of NLP tasks including:

• —Sentiment and emotion analysis
• —Code-mixed language modeling
• —Social engagement prediction
• —Sarcasm and intent detection

Each entry includes both the raw and cleaned text, as well as metadata such as likes, comments, sender (anonymous alias), timestamp, and the original post URL.

📍 About HazyBoard

KUET Whispers is an anonymous Facebook-based platform where KUET students publicly share thoughts, confessions, questions, and opinions—often touching on personal, humorous, romantic, or social themes. Posts are submitted anonymously and published by moderators, making it a vibrant reflection of campus life, emotions, and culture.

This dataset aims to preserve that raw authenticity for academic and research purposes.

📁 Dataset Structure

🌐 Languages

The dataset contains:

• —🇧🇩 Bangla (native, formal and informal)
• —🇺🇸 English
• —🔄 Code-mixed (Banglish), often switching between scripts

⚙️ Collection & Processing

• —Source: 'KUET Whispers' Facebook page (public content only)
• —Collection Date: July 2025
• —Cleaning: Minimal — emojis and formatting artifacts removed; text preserved as-is to maintain emotional tone
• —Size: 2,485 entries
• —Format: CSV, easily convertible to Hugging Face Dataset object

🔍 Applications

• —Fine-tuning sentiment/emotion classification models for low-resource languages
• —Studying code-mixed language behavior in real-world settings
• —Modeling social media engagement (likes/comments)
• —Analyzing trends, opinions, and mental health signals in anonymous platforms

⚖️ Ethical Considerations

• —Only public, anonymized posts were collected.
• —No personal identifiers or user accounts are included.
• —Some content may contain sensitive or emotionally heavy language (e.g., loneliness, anxiety, relationships).
• —Please use the dataset responsibly and do not attempt to deanonymize contributors.

📜 License

This dataset is released under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. You are free to use, modify, and distribute it with proper credit.

📚 Citation