QuAC contains 98,407 QA pairs from 13,594 dialogs. The dialogs were conducted on 8,854 unique sections from 3,611 unique Wikipedia articles, and every dialog ...

Question Answering in Context (QuAC) is a dataset for modeling, understanding, and participating in information seeking dialog. Data instances consist of an ...

21 авг. 2018 г. · We present QuAC, a dataset for Question Answering in Context that contains 14K information-seeking QA dialogs (100K questions in total).

Question Answering in Context is a large-scale dataset that consists of around 14K crowdsourced Question Answering dialogs with 98K question-answer pairs in ...

What is QuAC? Question Answering in Context is a dataset for modeling, understanding, and participating in information seeking dialog. Data instances consist of ...

QuAC (Question Answering in Context) is a question-answering in-context dataset containing 14K information-seeking QA conversations (100K questions in ...

Abstract. We present QuAC, a dataset for Question Answering in Context that contains 14K information-seeking QA dialogs (100K questions in total).

20 дек. 2022 г. · Description: Question Answering in Context is a dataset for modeling, understanding, and participating in information seeking dialog.

QuAC is a newly proposed dataset with regards to conversational QA. The task is to answer a question in a conversation given a context and historical questions ...

6 июн. 2024 г. · QuAC, a dataset for Question Answering in Context, is proposed that contains 14K information-seeking QA dialogs (100K questions in total).