WTC corpus of 8,600 curated open-domain questions from We The Curious

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Evidence · 3 claims (3 for) · 1 study (1 design), q2 · 0 of 1 report an effect size · 3 claims rest on one study

Description

A curated dataset of 8,600 anonymised open-domain questions collected and moderated by We The Curious through its Project What If activities for research on public curiosity and question answering.

Components

Claims

• WTC corpus questions concentrate in Science & Mathematics (55.66%) and over half are causal HOW/WHY questions [+M]
• Graph community detection over QBERT-RR embeddings yields 5,930 question communities, with 5,337 questions having no similar group [+M]
• QBERT-RR finds high-confidence one-sentence Wikipedia answers for 463 WTC questions [+M]

Related Products and Programmes

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Key Sources

• Zhaozhen Xu, Amelia Howarth, Nicole Briggs, Nello Cristianini. (2024). Understanding Visitors' Curiosity in a Science Centre with Deep Question Processing Network. Int J Artif Intell Educ. https://doi.org/10.1007/s40593-023-00377-8

Page metadata

Field	Value
type	product
id	wtc-corpus-of-8600-curated-open-domain-questions-from-we-the-curious
title	WTC corpus of 8,600 curated open-domain questions from We The Curious
description	A curated dataset of 8,600 anonymised open-domain questions collected and moderated by We The Curious through its Project What If activities for research on public curiosity and question answering.
status	review
product_kind	dataset
generated	by process:settle-candidates on 2026-10-28
trust	unverified — no one has confirmed this page's content

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