ixa-hitz/elkarhizketak
ElkarHizketak is a low resource conversational Question Answering (QA) dataset in Basque created by Basque speaker volunteers. The dataset contains close to 400 dialogues and more than 1600 question and answers, and its small size presents a realistic low-resource scenario for conversational QA systems. The dataset is built on top of Wikipedia sections about popular people and organizations. The dialogues involve two crowd workers: (1) a student ask questions after reading a small introduction about the person, but without seeing the section text; and (2) a teacher answers the questions selecting a span of text of the section.
Delete legacy JSON metadata (#3)
Replace YAML keys from int to str (#2)
Reorder split names (#1)
add dataset_info in dataset metadata
remove dummmy data
fix task_ids
Align more metadata with other repo types (models,spaces) (#4607)
Remove config names as yaml keys (#4367)
Update datasets task tags to align tags with models (#4067)
Add ElkarHizketak v1.0 dataset (#3780)
initial commit
