提供者：卢梦依
下载地址：http://nlp.cs.washington.edu/triviaqa/

简介

数据集概述

TriviaQA是一个阅读理解数据集，包含超过650K的问题-答案-证据三元组。TriviaQA包括由trivia爱好者撰写的95K问答组，独立收集证据文档，平均6个问题，为回答问题提供高质量的文档。
TriviaQA具有相对复杂的组合问题，在问题和相应的答案证据句之间有相当多的句法和词汇的可变性，需要更多的交叉语句推理才能找到答案。

文件

大小：7.2G

示例：

相关论文

1.Mandar Joshi, Eunsol Choi, Daniel Weld, Luke Zettlemoyer. TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension
In Association for Computational Linguistics (ACL) 2017, Vancouver, Canada.
2.Daskalakis C, Dikkala N, Kamath G. Concentration of Multilinear Functions of the Ising Model with Applications to Network Data[J]. 2017.
3.Zhao J, Xiong L, Jayashree K, et al. Dual-Agent GANs for Photorealistic and Identity Preserving Profile Face Synthesis[C]// Conference on Neural Information Processing Systems. 2017.
4.He B, De S C, Mitliagkas I, et al. Scan Order in Gibbs Sampling: Models in Which it Matters and Bounds on How Much[J]. Adv Neural Inf Process Syst, 2016.
5.Chu X, Ouyang W, Li H, et al. CRF-CNN: Modeling Structured Information in Human Pose Estimation[J]. 2016.