Datasets › Comparative Question Completion

Comparative Question Completion

Introduced by Avishai Zagoury et al. in What's the best place for an AI conference, Vancouver or ______: Why completing comparative questions is difficult5 Apr 2021 archive 2025-07-28

Comparative Question Completion is a dataset to evaluate what do large Language Models learn.

The dataset includes short questions in natural language that make comparisons between entity pairs, for example, “is a cockroach or beetle more dangerous?”

The questions are in three subject domains: animals, cities and NBA players.

In each sentence, one of the compared entities in the sentence has been 'masked' (replaced with a [MASK] symbol). For example, for the question above the masked sentence is: “is a [MASK] or beetle more dangerous?” The dataset presents the task of automatically recovering the masked entity name, and provides the original entity for evaluation purposes. In addition to the original masked entity text (e.g., 'cockroach'), it details the respective Wikidata entity ID, (e.g., 'Q18123008').

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 2 papers for it but never published that list.

Dataset loaders archive 2025-07-28

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

Tasks archive 2025-07-28

License archive 2025-07-28

CC-BY 4.0

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • Comparative Question Completion

1 variant name, as the archive lists them.

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