dataset_name: Nepali Bias and Information Dataset
labels: hate_speech, Misinformation, Bias, Normal
license: apache-2.0
task_categories:
- text-classification
language:
- ne
size_categories:
- 1K<n<10K
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: text
dtype: string
- name: label
dtype: string
splits:
- name: train
num_bytes: 9715866
num_examples: 9408
download_size: 3741711
dataset_size: 9715866
tags:
- hate_speech
- misinformation
- bias
🧠 NaBI: Nepali Bias & Information Dataset
The NaBI (Nepali Bias & Information) Dataset is a curated and annotated dataset developed for the classification of Nepali language content into four critical categories related to information integrity and harmful content. It is designed to aid in the development of NLP models for moderation, content filtering, and sociopolitical analysis.
💡 Dataset Description
The dataset consists of Nepali text samples sourced from public domains like user comments, Facebook posts, and editorial pieces, annotated into four distinct categories:
Bias: Text exhibiting partial, one-sided, or prejudiced viewpoints. This includes:
- Editorial Bias: Political slant, caste or gender favoritism.
- User Comment Bias: Implicit bias or favoritism in social interactions or commentary.
Normal: Neutral, factual, and civil content. No signs of misinformation, bias, or harmful intent.
Misinformation: False or misleading content. Includes manipulated facts, deceptive headlines, and rumors.
Hate Speech: Language that promotes discrimination, hostility, or violence towards individuals or groups based on caste, ethnicity, gender, political affiliation, etc.
📂 Use Cases
This dataset is ideal for:
- Building classifiers to detect and filter hate speech or misinformation in Nepali content.
- Researching media bias and its influence on public opinion.
- Studying sociolinguistic patterns and harmful discourse in Nepali digital spaces.
📊 Dataset Structure
Each entry in the dataset includes:
- Text: A Nepali language sentence or paragraph.
- Label: One of the four classes —
Bias,Normal,Misinformation,Hate Speech.
📜 License
This dataset is licensed for research and educational purposes only. Ensure proper citation and ethical use in any public project or publication.
📧 Contact
For inquiries, contributions, or collaborations, please contact:
Utkarsha Khanal
📬 utkarsha.khanal@gmail.com