mlsanityData to 7 Oct 2026

FoQA: A Faroese Question-Answering Dataset

arXiv 2502.07642 ↗First posted 11 Feb 2025cs.CL cs.LGcited by 3

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Abstract (arXiv)

We present FoQA, a Faroese extractive question-answering (QA) dataset with 2,000 samples, created using a semi-automated approach combining Large Language Models (LLMs) and human validation. The dataset was generated from Faroese Wikipedia articles using GPT-4-turbo for initial QA generation, followed by question rephrasing to increase complexity and native speaker validation to ensure quality. We provide baseline performance metrics for FoQA across multiple models, including LLMs and BERT, demonstrating its effectiveness in evaluating Faroese QA performance. The dataset is released in three versions: a validated set of 2,000 samples, a complete set of all 10,001 generated samples, and a set of 2,395 rejected samples for error analysis.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 15 of its 21 references that are in the map. First posted on arXiv 11 Feb 2025.

Builds on

15 of 21 references.

References · 15

  1. 2017Attention Is All You Needcited by 59,932
  2. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  3. 2020Language Models are Few-Shot Learnerscited by 32,199
  4. 2016SQuAD: 100,000+ Questions for Machine Comprehension of Textcited by 4,115
  5. 2019Unsupervised Cross-lingual Representation Learning at Scalecited by 3,907
  6. 2023Retrieval-Augmented Generation for Large Language Models: A Surveycited by 2,185
  7. 2020DeBERTa: Decoding-enhanced BERT with Disentangled Attentioncited by 2,157
  8. 2022No Language Left Behind: Scaling Human-Centered Machine Translationcited by 1,290
  9. 2021DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharingcited by 1,219
  10. 2019ELI5: Long Form Question Answeringcited by 567
  11. 2020TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languagescited by 486
  12. 2019Gradio: Hassle-Free Sharing and Testing of ML Models in the Wildcited by 176
3 more
  1. 2024Encoder vs Decoder: Comparative Analysis of Encoder and Decoder Language Models on Multilingual NLU Taskscited by 33
  2. 2023Transfer to a Low-Resource Language via Close Relatives: The Case Study on Faroesecited by 15
  3. 2022Cross-Lingual QA as a Stepping Stone for Monolingual Open QA in Icelandiccited by 1

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Cited by year

Citing papers per year: 2025: 3.

3 papers.

  1. 2025mmBERT: A Modern Multilingual Encoder with Annealed Language Learningcited by 39
  2. 2025In-Training Defenses against Emergent Misalignment in Language Modelscited by 14
  3. 2025MultiWikiQA: A Reading Comprehension Benchmark in 300+ Languagescited by 7