Categoryexternal
MeasureDecision classification
TasksMultilingual multiple-choice reading comprehension
DifficultyDepends on the evaluated split and label mapping
Belebele tests passage comprehension through questions with four answer options. Its parallel language variants let researchers study how reading performance changes across languages.
No model in the catalog has a published Belebele score.The benchmark is defined by The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants, but the catalog carries no value for it yet. An absent value is shown as absent here rather than as a zero.
About Belebele
What the benchmark measures and how its value is published, from the source’s own record.
What is Belebele?
Belebele is an external benchmark published by The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants. Belebele tests passage comprehension through questions with four answer options. Its parallel language variants let researchers study how reading performance changes across languages. Its evaluation set is described by the source as multilingual multiple-choice reading comprehension. The source rates its difficulty as depends on the evaluated split and label mapping.
How is Belebele scored?
Each model's result is published by The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants as decision classification. ModelScale prints that value exactly as published, and never converts or rescales it. This page ranks the 0 models that carry a published value, highest value first; a model the source never scored is left out rather than ranked at zero. The source does not state whether a higher value is the better result, so neither does this page.
ModelScale