issai/SpokenMQA_Kazakh

SpokenMQA — Kazakh

This dataset is a machine-translated Kazakh adaptation of the SpokenMQA benchmark for evaluating spoken mathematical reasoning in speech-based and audio-language models.

The original SpokenMQA benchmark probes whether speech-based models can solve math problems delivered through speech, ranging from simple digit recognition (short and long digits) to single-step and multi-step mathematical reasoning. This release localizes the benchmark into Kazakh, enabling evaluation of multilingual speech models on spoken mathematical reasoning beyond English.

The textual fields of the original benchmark were machine-translated into Kazakh, and the audio was re-synthesized in Kazakh from the translated transcripts using MangiSozTTS.

Dataset structure

The benchmark covers four tracks of increasing difficulty:

Subset	Purpose
short_digit	Recognition of short numerical sequences spoken aloud
long_digit	Recognition of longer numerical sequences spoken aloud
single_step_reasoning	Mathematical problems requiring a single arithmetic operation
multi_step_reasoning	Mathematical problems requiring multi-step reasoning over spoken input