Datasets:

issai
/

SAKURA_Kazakh_Russian

dataset_info:
  - config_name: AnimalQA
    features:
      - name: file
        dtype: string
      - name: audio
        dtype: audio
      - name: attribute_label
        dtype: string
      - name: single_instruction
        dtype: string
      - name: single_answer
        dtype: string
      - name: multi_instruction
        dtype: string
      - name: multi_answer
        dtype: string
    splits:
      - name: kazakh
        num_bytes: 72729461
        num_examples: 500
      - name: russian
        num_bytes: 72769565
        num_examples: 500
    download_size: 144956117
    dataset_size: 145499026
  - config_name: EmotionQA
    features:
      - name: file
        dtype: string
      - name: audio
        dtype: audio
      - name: attribute_label
        dtype: string
      - name: single_instruction
        dtype: string
      - name: single_answer
        dtype: string
      - name: multi_instruction
        dtype: string
      - name: multi_answer
        dtype: string
    splits:
      - name: kazakh
        num_bytes: 49480088
        num_examples: 500
      - name: russian
        num_bytes: 49498398
        num_examples: 500
    download_size: 98304628
    dataset_size: 98978486
  - config_name: GenderQA
    features:
      - name: file
        dtype: string
      - name: audio
        dtype: audio
      - name: attribute_label
        dtype: string
      - name: single_instruction
        dtype: string
      - name: single_answer
        dtype: string
      - name: multi_instruction
        dtype: string
      - name: multi_answer
        dtype: string
    splits:
      - name: kazakh
        num_bytes: 93143548
        num_examples: 500
      - name: russian
        num_bytes: 93172347
        num_examples: 500
    download_size: 185881785
    dataset_size: 186315895
  - config_name: LanguageQA
    features:
      - name: file
        dtype: string
      - name: audio
        dtype: audio
      - name: attribute_label
        dtype: string
      - name: single_instruction
        dtype: string
      - name: single_answer
        dtype: string
      - name: multi_instruction
        dtype: string
      - name: multi_answer
        dtype: string
    splits:
      - name: kazakh
        num_bytes: 92543832
        num_examples: 500
      - name: russian
        num_bytes: 92591526
        num_examples: 500
    download_size: 184646141
    dataset_size: 185135358
configs:
  - config_name: AnimalQA
    data_files:
      - split: kazakh
        path: AnimalQA/kazakh-*
      - split: russian
        path: AnimalQA/russian-*
  - config_name: EmotionQA
    data_files:
      - split: kazakh
        path: EmotionQA/kazakh-*
      - split: russian
        path: EmotionQA/russian-*
  - config_name: GenderQA
    data_files:
      - split: kazakh
        path: GenderQA/kazakh-*
      - split: russian
        path: GenderQA/russian-*
  - config_name: LanguageQA
    data_files:
      - split: kazakh
        path: LanguageQA/kazakh-*
      - split: russian
        path: LanguageQA/russian-*

SAKURA — Kazakh & Russian

This dataset is a machine-translated Kazakh and Russian adaptation of the SAKURA benchmark for evaluating single-hop and multi-hop reasoning in Audio-Language Models.

The original SAKURA benchmark probes whether audio-language models can not only perceive an attribute from speech/audio (single-hop) but also reason over that attribute using world knowledge (multi-hop). This release localizes the textual instructions and reference answers into Kazakh and Russian, enabling evaluation of multilingual audio-language models on the same audio stimuli.

Audio is unchanged. Only the textual fields (single_instruction, single_answer, multi_instruction, multi_answer) were machine-translated. The audio recordings are bit-identical copies of the originals.

Dataset structure

The benchmark covers four tracks, each probing a different perceptual attribute:

Subset	Purpose
`AnimalQA`	Which animal produces the sound
`EmotionQA`	Emotion conveyed by the speaker
`GenderQA`	Gender of the speaker
`LanguageQA`	Language being spoken

Each subset contains two splits with parallel content (same audio, translated text):

kazakh — instructions and answers translated into Kazakh
russian — instructions and answers translated into Russian