Datasets › InfoLossQA

InfoLossQA

Introduced by Jan Trienes et al. in InfoLossQA: Characterizing and Recovering Information Loss in Text Simplification29 Jan 2024 archive 2025-07-28

The goal of InfoLossQA is to generate a series of QA pairs that reveal to lay readers what information a simplified text lacks compared to its original.

We provide an annotated dataset in the domain of medical text simplification, specifically abstracts of Randomized Controlled Trials (RCTs). The abstracts were automatically simplified by an LLM (GPT-4). Then, three linguists annotated information loss and wrote the QA pairs.

For more details about the dataset, see the project website: https://InfoLossQA.ikim.nrw/#/

Benchmarks archive 2025-07-28

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Papers archive 2025-07-28

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Tasks archive 2025-07-28

License archive 2025-07-28

MIT

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • InfoLossQA

1 variant name, as the archive lists them.

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