Advice Seeking Questions
Introduced by Fu et al. in Asking the Right Question: Inferring Advice-Seeking Intentions from Personal Narratives
The Advice-Seeking Questions (ASQ) dataset is a collection of personal narratives with advice-seeking questions. The dataset has been split into train, test, heldout sets, with 8865, 2500, 10000 test instances each. This dataset is used to train and evaluate methods that can infer what is the advice-seeking goal behind a personal narrative. This task is formulated as a cloze test, where the goal is to identify which of two advice-seeking questions was removed from a given narrative.
Source: https://github.com/CornellNLP/ASQPapers
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