Actions
  • share
Powered by OpenAIRE Research Graph
See an issue? Give us feedback
share
auto_awesome_motion View all 2 versions
Research data . Dataset . 2022

E-Commerce Question Answering Dataset

Rodrigo Caus; Arthur Baia; Victor Ávila; Victor Hochgreb;
Open Access
Portuguese

doi: 10.5281/zenodo.7314394 , 10.5281/zenodo.7314395

Published: 11 Nov 2022
Publisher: Zenodo
Abstract

The E-Commerce Question Answering Dataset (ECQuAD) is a reading comprehension dataset for question answering in brazilian e-commerce platforms. It consists of questions annotated by crowdworkers on a set of products' descriptions. It follows the SQuAD-v2 format, so questions might be unanswerable. This is a development set, for public usage, powered by GoBots.

Subjects

question answering, reading comprehension, e-commerce, natural language processing

Powered by OpenAIRE Research Graph
See an issue? Give us feedback
Related to Research communities
Digital Humanities and Cultural Heritage
more