coached_conv_pref
A dataset consisting of 502 English dialogs with 12,000 annotated utterances between a user and an assistant discussing movie preferences in natural language. It was collected using a Wizard-of-Oz methodology between two paid crowd-workers, where one worker plays the role of an 'assistant', while the other plays the role of a 'user'. The 'assist...
annotations_creators:
expert-generated
language_creators:
found
languages:
en
licenses:
cc-by-sa-4.0
multilinguality:
monolingual
size_categories:
n<1K
source_datasets:
original
task_categories:
other
task_categories:
sequence-modeling
task_categories:
structure-prediction
task_ids:
other-other-Conversational Recommendation
task_ids:
dialogue-modeling
task_ids:
parsing