Datasets › DREAM

DREAM

Introduced by Kai Sun et al. in DREAM: A Challenge Data Set and Models for Dialogue-Based Reading Comprehension1 Mar 2019 archive 2025-07-28

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 archive 2025-07-28

All 2 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Machine Reading Comprehension DREAM ASA + RoBERTa Accuracy 69.2 Adversarial Self-Attention for Language Understanding gingasan/adversarialsa 3 Compare
Sleep spindles detection DREAMS sleep spindles Robust autoregressive hidden semi-Markov model MCC 0.455 Deep Neural Dynamic Bayesian Networks applied to EEG... carlosloza/DNDBN 1 Compare

Papers archive 2025-07-28

3 shown of 3 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 68. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
Instructive Dialogue Summarization with Query Aggregations 1 1 17 Oct 2023 not harvested
Adversarial Self-Attention for Language Understanding 1 2 25 Jun 2022 not harvested
Deep Neural Dynamic Bayesian Networks applied to EEG sleep spindles modeling 1 1 16 Oct 2020 not harvested

Dataset loaders archive 2025-07-28

3 loaders as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

License archive 2025-07-28

Custom (research-only, non-commercial)

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • DREAMS sleep spindles
  • DREAM

2 variant names, as the archive lists them.

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