# MAUPQA: Massive Automatically-created Polish Question Answering Dataset

Source: [MAUPQA: Massive Automatically-created Polish Question Answering Dataset](<https://www.sota2.com/research/paper/68fa6f431e209131cea4497e>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-10-26T01:16:36.929Z

Authors: Piotr Rybak

Published: 2023-05-09T14:36:04.000Z

## Abstract

Recently, open-domain question answering systems have begun to rely heavily on annotated datasets to train neural passage retrievers. However, manually annotating such datasets is both difficult and time-consuming, which limits their availability for less popular languages. In this work, we experiment with several methods for automatically collecting weakly labeled datasets and show how they affect the performance of the neural passage retrieval models. As a result of our work, we publish the MAUPQA dataset, consisting of nearly 400,000 question-passage pairs for Polish, as well as the HerBERT-QA neural retriever.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/2305.05486>)

[PDF](<https://arxiv.org/pdf/2305.05486.pdf>)