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gender-bias-bengali/wonbias-partial-dataset

Bengali Gender Bias Dataset: A Balanced Corpus for Analysis and Mitigation Dataset Details Overview A manually annotated corpus of Bangla designed to benchmark and mitigate gender bias specifically targeting women. The dataset supports research in ethical NLP, hate speech detection, and computational social science. Dataset Description Basic Info Purpose: Detect gender bias against women in Bengali text Language:… See the full description on the dataset page: https://huggingface.co/datasets/gender-bias-bengali/wonbias-partial-dataset.

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Dataset Card

Bengali Gender Bias Dataset: A Balanced Corpus for Analysis and Mitigation

Dataset Details

Overview

A manually annotated corpus of Bangla designed to benchmark and mitigate gender bias specifically targeting women. The dataset supports research in ethical NLP, hate speech detection, and computational social science.

Dataset Description

Basic Info

—Purpose: Detect gender bias against women in Bengali text
—Language: Bengali (Bangla)
—Labels:
—0: Neutral (no bias)
—1: Positive (supportive towards women in general)
—2: Negative (contains bias against women)

Data Sources

Collected from:

—Social media (TikTok, Facebook, Twitter, Instagram)
—Online forums
—News articles and comments
—Government reports

Collection Methods

—Semi-automated tools with ethical safeguards:
—Only public content collected
—All personal info removed
—Rate-limited scraping

Partnerships

Developed with help from:

—Various social media platforms
—Community organizations
—Local annotation teams

Dataset Structure

—Format: CSV
—Columns:
—Data: Raw Bangla text.
—Label: Integer (0, 1, or 2).

Statistics

—Total Samples: 11,178
—Label Distribution:
—Neutral (0): 3,644 samples (32.6%)
—Positive (1): 3,506 samples (31.4%)
—Negative (2): 4,028 samples (36.0%)

Ethical Considerations

Data Collection

—Anonymization:
—All user identifiers (usernames, URLs, locations) removed
—Metadata sanitized to prevent re-identification
—Consent:
—For survey/interview data: Explicit participant consent obtained
—Public posts used under platform terms of service

Content Safeguards

—Mental Health Protections:
—Annotators provided with:
—Psychological support resources
—Regular breaks when handling toxic content
—Trigger Warnings:
—Dataset documentation highlights potentially harmful content

Limitations

—Scope Limitations:
—Focuses only on gender bias against women
—Doesn't cover third gender or intersectional biases

—Detection Challenges:
—Difficulty identifying implicit bias and contextual nuances
—Performance varies across regional dialects

—Language Coverage:
—Currently Bengali-only (may not generalize to other South Asian languages)

Usage

How to Load

python

# Note: The dataset will be made publicly available after publication
from datasets import load_dataset
dataset = load_dataset("anonymous/bengali-gender-bias-dataset")

Citation

bibtex

@dataset{bengaligenderbiaspartial,
  title = {{Bengali Gender Bias Dataset (Partial)}: A Balanced Corpus for Analysis and Mitigation},
  author = {Anonymous},
  year = {2025},
  publisher = {Hugging Face},
  note = {Under review},
  license = {CC-BY-NC-SA-4.0},
}

License

![CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/)

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

You are free to:

—Share — copy and redistribute the material in any medium or format
—Adapt — remix, transform, and build upon the material

Under the following terms:

—Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made.
—NonCommercial — You may not use the material for commercial purposes.
—ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.