HotpotQA is a new dataset with 113k Wikipedia-based question-answer pairs with four key features: (1) the questions require finding and reasoning over multiple ...

HotpotQA is a question answering dataset featuring natural, multi-hop questions, with strong supervision for supporting facts to enable more explainable ... Explorer · Blog · Processed Wikipedia README

HotpotQA is a question answering dataset collected on the English Wikipedia, containing about 113K crowd-sourced questions that are constructed to require ...

25 сент. 2018 г. · We introduce HotpotQA, a new dataset with 113k Wikipedia-based question-answer pairs with four key features.

This repository contains the baseline model code, as well as the entire pipeline of running experiments on the HotpotQA dataset, including data download, data ...

HotpotQA is a question answering dataset featuring natural, multi-hop questions, with strong supervision for supporting facts to enable more explainable ...

We introduce HotpotQA, a new dataset with 113k Wikipedia-based question-answer pairs with four key features.

A dataset for diverse, explainable multi-hop question answering. Here we show a random example from the HotpotQA dev set.

The current state-of-the-art on HotpotQA is Beam Retrieval. See a full comparison of 72 papers with code.

We present HOTPOTQA, a large-scale question answering dataset aimed at facilitating the devel- opment of QA systems capable of performing ex- plainable, multi- ...