air_dialogue
AirDialogue, is a large dataset that contains 402,038 goal-oriented conversations. To collect this dataset, we create a contextgenerator which provides travel and flight restrictions. Then the human annotators are asked to play the role of a customer or an agent and interact with the goal of successfully booking a trip given the restrictions.
annotations_creators:
human-annotated
language_creators:
machine-generated
languages:
en
licenses:
cc-by-nc-4.0
multilinguality:
monolingual
size_categories:
100K<n<1M
source_datasets:
original
task_categories:
conditional-text-generation
task_categories:
sequence-modeling
task_ids:
conditional-text-generation-other-dialogue-generation
task_ids:
dialogue-modeling
task_ids:
language-modeling