Open-Retrieval Conversational Question Answering (ORConvQA)
Question AnsweringEnglish
The Open-Retrieval Conversational Question Answering (ORConvQA) dataset is a English question answering resource from Qu et al. at 2020 comprising 5,644 examples.
About Open-Retrieval Conversational Question Answering (ORConvQA)
Dataset enhances QuAC by adapting it to an open retrieval setting. It is an aggregation of 3 existing datasets: (1) the QuAC dataset that offers information-seeking conversations, (2) the CANARD dataset that consists of context-independent rewrites of QuAC questions, and (3) the Wikipedia corpus that serves as the knowledge source of answering questions.
Details
- Task
- Question Answering
- Language
- English
- Format
- Text
- Rows / instances
- 5,644
- Creator
- Qu et al.
- Year
- 2020