mlsanityData to 7 Oct 2026

MAUPQA: Massive Automatically-created Polish Question Answering Dataset

arXiv 2305.05486 ↗First posted 9 May 2023cs.CLcited by 11

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Abstract (arXiv)

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.

Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). Builds on 19 of its 27 references that are in the map. First posted on arXiv 9 May 2023.

Builds on

19 of 27 references.

References · 19

  1. 2022Training language models to follow instructions with human feedbackcited by 15,712
  2. 2020Dense Passage Retrieval for Open-Domain Question Answeringcited by 3,779
  3. 2017TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehensioncited by 2,895
  4. 2016MS MARCO: A Human Generated MAchine Reading COmprehension Datasetcited by 1,591
  5. 2016Bag of Tricks for Efficient Text Classificationcited by 869
  6. 2019CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Datacited by 544
  7. 2019MLQA: Evaluating Cross-lingual Extractive Question Answeringcited by 339
  8. 2016FastText.zip: Compressing text classification modelscited by 331
  9. 2021PAQ: 65 Million Probably-Asked Questions and What You Can Do With Themcited by 198
  10. 2021RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-rankingcited by 175
  11. 2020MKQA: A Linguistically Diverse Benchmark for Multilingual Open Domain Question Answeringcited by 151
  12. 2021mMARCO: A Multilingual Version of the MS MARCO Passage Ranking Datasetcited by 116
7 more
  1. 2021QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehensioncited by 91
  2. 2020KLEJ: Comprehensive Benchmark for Polish Language Understandingcited by 51
  3. 2021HerBERT: Efficiently Pretrained Transformer-based Language Model for Polishcited by 51
  4. 2022Tevatron: An Efficient and Flexible Toolkit for Dense Retrievalcited by 47
  5. 2020Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answeringcited by 39
  6. 2021MFAQ: a Multilingual FAQ Datasetcited by 16
  7. 2022PolQA: Polish Question Answering Datasetcited by 7

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 3; 2024: 6; 2025: 1; 2026: 1.

11 papers.

  1. 2024PL-MTEB: Polish Massive Text Embedding Benchmarkcited by 19
  2. 2023BEIR-PL: Zero Shot Information Retrieval Benchmark for the Polish Languagecited by 15
  3. 2024PIRB: A Comprehensive Benchmark of Polish Dense and Hybrid Text Retrieval Methodscited by 14
  4. 2023MultiVENT: Multilingual Videos of Events with Aligned Natural Textcited by 7
  5. 2023Silver Retriever: Advancing Neural Passage Retrieval for Polish Question Answeringcited by 5
  6. 2025Model-Aware Tokenizer Transfercited by 5
  7. 2024Assessing generalization capability of text ranking models in Polishcited by 3
  8. 2024MessIRve: A Large-Scale Spanish Information Retrieval Datasetcited by 3
  9. 2024Developing PUGG for Polish: A Modern Approach to KBQA, MRC, and IR Dataset Constructioncited by 1
  10. 2024Transferring BERT Capabilities from High-Resource to Low-Resource Languages Using Vocabulary Matchingcited by 0
  11. 2026Polish ModernBERT: The Long and Short of Polish Language Understandingcited by 0