apple/ml-mkqa
We introduce MKQA, an open-domain question answering evaluation set comprising 10k question-answer pairs aligned across 26 typologically diverse languages (260k question-answer pairs in total). The goal of this dataset is to provide a challenging benchmark for question answering quality across a wide set of languages. Please refer to our paper for details, MKQA: A Linguistically Diverse Benchmark for Multilingual Open Domain Question Answering
PythonApache-2.0
Stargazers
- Ac2zoomSaphira AI
- addf400Microsoft Research
- AkariAsaiUniversity of Washington
- akirasosaJapan
- Akirtn
- amirphl
- amirsaffariAmazon
- anetschkaDresden, Germany
- ankitshah009@cmu-mlsp
- bguivarch
- binhnaVietnam
- buttercrabSchool of Computing, KAIST
- ChewKokWah
- csarronApple AIML
- dark-orange
- DevSinghSachanMontreal
- fhkPozibl
- fly51flyPRIS
- heyshtor
- hkazuakey
- hnishiACCESS CO.,LTD.
- ibombonatoBrazil
- JudePark96Buzzni
- kkadowaTokyo, Japan
- kugwzk
- LuvataHanoi - Vietnam
- PoorvaRaneGoogle
- PuneetKohliApple Inc
- roshanr11Carnegie Mellon University
- rtroncyEURECOM
- rusucosmin@dutyventures
- SriRangaTarunAmherst, Massachusetts, United States
- titsukiTokyo
- vincentlux
- vingovanVCCorp.vn
- WhaleFallzz