DREAM

doi:doi:10.57702/2zrbrn8g

DREAM

The DREAM dataset is a dialogue-based multiple-choice QA dataset, introduced by Sun et al. (2019). It was collected from English-as-a-foreign-language examinations, designed by human experts. The dataset contains 10,197 questions for 6,444 dialogues in total, and each question is associated with 3 answer-options.

BibTex:

@dataset{Bin_Wang_and_Zhengyuan_Liu_and_Nancy_F_Chen_2025,
    abstract = {The DREAM dataset is a dialogue-based multiple-choice QA dataset, introduced by Sun et al. (2019). It was collected from English-as-a-foreign-language examinations, designed by human experts. The dataset contains 10,197 questions for 6,444 dialogues in total, and each question is associated with 3 answer-options.},
    author = {Bin Wang and Zhengyuan Liu and Nancy F. Chen},
    doi = {10.57702/2zrbrn8g},
    institution = {No Organization},
    keyword = {'6D pose estimation', 'Camera-to-robot pose estimation', 'Dialogue-based', 'Dialogue-based Multiple-Choice', 'English-as-a-foreign-language', 'Multiple-Choice', 'QA', 'Reading Comprehension', 'Single RGB image', 'dialogue comprehension', 'dialogue-based', 'machine reading comprehension', 'multiple-choice', 'natural language processing', 'question answering', 'reading comprehension'},
    month = {jan},
    publisher = {TIB},
    title = {DREAM},
    url = {https://service.tib.eu/ldmservice/dataset/dream},
    year = {2025}
}