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Datasets/DREAM

DREAM

TextsCustom (research-only, non-commercial)Introduced 2019-03-01

DREAM is a multiple-choice Dialogue-based REAding comprehension exaMination dataset. In contrast to existing reading comprehension datasets, DREAM is the first to focus on in-depth multi-turn multi-party dialogue understanding.

DREAM contains 10,197 multiple choice questions for 6,444 dialogues, collected from English-as-a-foreign-language examinations designed by human experts. DREAM is likely to present significant challenges for existing reading comprehension systems: 84% of answers are non-extractive, 85% of questions require reasoning beyond a single sentence, and 34% of questions also involve commonsense knowledge.

Source: DREAM

Benchmarks

Reading Comprehension/AccuracyVisual Question Answering (VQA)/Accuracy

Related Benchmarks

DREAM-dataset/1 Image, 2*2 Stitchi/AUC (avg. on 4 real DREAM datasets)DREAM-dataset/1 Image, 2*2 Stitchi/mean-ADD (avg. on 4 real DREAM datasets)DREAM-dataset/3D/AUC (avg. on 4 real DREAM datasets)DREAM-dataset/3D/mean-ADD (avg. on 4 real DREAM datasets)DREAM-dataset/6D Pose Estimation/AUC (avg. on 4 real DREAM datasets)DREAM-dataset/6D Pose Estimation/mean-ADD (avg. on 4 real DREAM datasets)DREAM-dataset/Pose Estimation/AUC (avg. on 4 real DREAM datasets)DREAM-dataset/Pose Estimation/mean-ADD (avg. on 4 real DREAM datasets)DREAMS sleep spindles/Sleep spindles detection/MCCDreamBooth/Personalized Image Generation/Concept Preservation (CP)DreamBooth/Personalized Image Generation/Overall (CP * PF)DreamBooth/Personalized Image Generation/Prompt Following (PF)

Statistics

Papers
68
Benchmarks
2

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Tasks

Machine Reading ComprehensionQuestion AnsweringReading ComprehensionSleep spindles detectionVisual Question Answering (VQA)