facebook/mlqa
MLQA (MultiLingual Question Answering) is a benchmark dataset for evaluating cross-lingual question answering performance. MLQA consists of over 5K extractive QA instances (12K in English) in SQuAD format in seven languages - English, Arabic, German, Spanish, Hindi, Vietnamese and Simplified Chinese. MLQA is highly parallel, with QA instances parallel between 4 different languages on average.
Delete legacy JSON metadata (#2)
Convert dataset sizes from base 2 to base 10 in the dataset card (#1)
add dataset_info in dataset metadata
remove dummmy data
Complete the mlqa dataset card (#4809)
Align more metadata with other repo types (models,spaces) (#4607)
Remove a copy-paste sentence in dataset cards (#4281)
Update files from the datasets library (from 1.16.0)
Update files from the datasets library (from 1.8.0)
Update files from the datasets library (from 1.7.0)
Update files from the datasets library (from 1.6.0)
Update files from the datasets library (from 1.4.0)
Update files from the datasets library (from 1.3.0)
Update files from the datasets library (from 1.0.2)
Update files from the datasets library (from 1.0.0)