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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.

sourceHugging Facecc-by-sa-4.0updated 3y agoView on Hugging Face
1likes37downloads
11 commits on main
b46e2b73y ago

Delete legacy JSON metadata (#3)

albertvillanova
bab35324y ago

Replace YAML keys from int to str (#2)

albertvillanova
626c35d4y ago

Reorder split names (#1)

albertvillanova
203e7994y ago

add dataset_info in dataset metadata

lhoestq
e8ce2554y ago

remove dummmy data

mariosasko
a54b1c84y ago

fix task_ids

lhoestq
5b344424y ago

Align more metadata with other repo types (models,spaces) (#4607)

julien-c
27d26f24y ago

Remove config names as yaml keys (#4367)

lhoestq
b132ec64y ago

Update datasets task tags to align tags with models (#4067)

lhoestq
28d5dca5y ago

Add ElkarHizketak v1.0 dataset (#3780)

antxa
2e442865y ago

initial commit

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