Datasets › sStoryCloze

sStoryCloze (Spoken Story Cloze)

Introduced by Michael Hassid et al. in Textually Pretrained Speech Language Models22 May 2023 archive 2025-07-28

The sStoryCloze refers to the Spoken StoryCloze benchmark, which is a spoken version of the StoryCloze dataset. The StoryCloze dataset consists of five-sentence commonsense stories, where the task is to predict the ending of a story given the first four sentences and two possible endings, one of which is the correct ending and the other is a distractor. The sStoryCloze evaluates the model's capabilities to capture fine-grained causal and temporal commonsense relations in spoken language. It assesses the model's ability to generate coherent and contextually appropriate continuations given a spoken prompt. The dataset is used to evaluate the performance of SpeechLMs in understanding and generating spoken narratives.

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 6 papers for it but never published that list.

Dataset loaders archive 2025-07-28

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Tasks archive 2025-07-28

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License archive 2025-07-28

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Modalities archive 2025-07-28

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Languages archive 2025-07-28

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Variants archive 2025-07-28

  • sStoryCloze

1 variant name, as the archive lists them.

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