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MRQA

Introduced by Adam Fisch et al. in MRQA 2019 Shared Task: Evaluating Generalization in Reading Comprehension archive 2025-07-28

The MRQA (Machine Reading for Question Answering) dataset is a dataset for evaluating the generalization capabilities of reading comprehension systems.

Source: MRQA 2019 Shared Task: Evaluating Generalization in Reading Comprehension

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Question Answering MRQA LinkBERT (large) Average F1 81.0 LinkBERT: Pretraining Language Models with Document Links michiyasunaga/LinkBERT 2 Compare

Papers archive 2025-07-28

2 shown of 2 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 116. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
LinkBERT: Pretraining Language Models with Document Links 1 1 29 Mar 2022 ran 0 of 14 samples (14 unverified)
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 534 1 11 Oct 2018 ran 204 of 659 samples (455 unverified; 149 pointer-only for licence)

Dataset loaders archive 2025-07-28

3 loaders as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

License archive 2025-07-28

Unknown

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • MRQA

1 variant name, as the archive lists them.

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