Sign inGet started
Paper · arXiv

BanglaBBQ: A Bias Benchmark for Question Answering in the Bangladeshi Context

This paper introduces BanglaBBQ, a question-answering bias benchmark designed to capture stereotypes grounded in the Bangladeshi context, in both Bangla and English. Following KoBBQ and PakBBQ, BanglaBBQ adapts the original Bias Benchmark for Question Answering (BBQ) by classifying its templates into three groups: directly translated (DT), modified to align target groups or contexts with Bangladesh (TM), and removed when deemed unsuitable for the Bangladeshi context (SR). This process retains 140 templates across six categories, comprising 76 DT and 64 TM templates. Five newly authored (NA) categories, based on stereotypes common in Bangladeshi society, are then added: marital status, age...

AuthorsSumit Anthony Gomes, Yasin Rahman, Taeeba Tasnia et al.
Primary categorycs.CL
Published17 October 2026
Last updated at source17 October 2026
cs.CL
Embed this entry
<iframe src="https://silytics.si/embed/item/6ec86f5e-afac-46e1-89b8-7ca892263c07" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 5 days

0 now. Counts as reported by the source, snapshotted daily by Silytics.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 24 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.