Datasets › ProtoQA

ProtoQA

Introduced by Michael Boratko et al. in ProtoQA: A Question Answering Dataset for Prototypical Common-Sense Reasoning archive 2025-07-28

ProtoQA is a question answering dataset for training and evaluating common sense reasoning capabilities of artificial intelligence systems in such prototypical situations. The training set is gathered from an existing set of questions played in a long-running international game show FAMILY- FEUD. The hidden evaluation set is created by gathering answers for each question from 100 crowd-workers.

Source: https://github.com/iesl/protoqa-data

Homepage JSON

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 11 papers for it but never published that list.

Dataset loaders archive 2025-07-28

huggingface.co/datasets/community-datasets/proto_qa huggingface/datasetstfpytorchjax

huggingface.co/datasets/proto_qa huggingface/datasetstfpytorchjax

iesl/protoqa-data

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

Tasks archive 2025-07-28

Question Answering Common Sense Reasoning

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

Texts

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

ProtoQA

1 variant name, as the archive lists them.

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