Update README.md

README.md

@@ -126,3 +126,27 @@ configs:
   - split: russian
     path: LanguageQA/russian-*
 ---
+
+# SAKURA — Kazakh & Russian
+
+This dataset is a machine-translated Kazakh and Russian adaptation of the [SAKURA benchmark](https://huggingface.co/SLLM-multi-hop) 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