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Text · dataset · 2022

kleinay/qa_srl

Listed in Hugging Face Datasets

The dataset contains question-answer pairs to model verbal predicate-argument structure.

Description

The questions start with wh-words (Who, What, Where, What, etc.) and contain a verb predicate in the sentence; the answers are phrases in the sentence. This dataset loads the train split from "QASRL Bank", a.k.a "QASRL-v2" or "QASRL-LS" (Large Scale), which was constructed via crowdsourcing and presented at (FitzGeralds et. al., ACL 2018), and the dev and test splits from QASRL-GS (Gold Standard), introduced in (Roit et. al., ACL 2020).

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Provenance · 1 source records, 8 field assertions
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Hugging Face Datasetskleinay/qa_srl14 d agoJSON v1
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access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:textsource · Hugging Faceconnector:huggingface@1.0.0
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0