Datasets › Qulac

Qulac

Introduced by Mohammad Aliannejadi et al. in Asking Clarifying Questions in Open-Domain Information-Seeking Conversations archive 2025-07-28

A dataset on asking Questions for Lack of Clarity in open-domain information-seeking conversations. Qulac presents the first dataset and offline evaluation framework for studying clarifying questions in open-domain information-seeking conversational search systems.

Source: https://github.com/aliannejadi/qulac Image Source: https://github.com/aliannejadi/qulac

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 19 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

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

No variants listed.

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