Dataset · Hugging Face

scailaboratory/KoALA

Name: KoALA
Creator: scailaboratory
Keywords: task_categories:automatic-speech-recognition, task_categories:translation, task_categories:question-answering, task_categories:audio-classification, language:ko, language:en, size_categories:1K<n<10K, format:audiofolder, modality:audio, library:datasets, library:mlcroissant, arxiv:1912.06670, arxiv:2403.06412, arxiv:2204.04541, arxiv:2409.11239

KoALa-Bench: Korean Audio Language Model Benchmark KoALa-Bench is a comprehensive benchmark for evaluating Large Audio Language Models (LALMs) on Korean speech understanding. It covers six tasks spanning both conventional speech processing and novel speech faithfulness evaluation, designed to test whether models can reason over the acoustic and linguistic content of Korean speech. Tasks KoALa-Bench consists of six evaluation tasks organized into two categories.… See the full description on the dataset page: https://huggingface.co/datasets/scailaboratory/KoALA.

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Author / organization	scailaboratory
Downloads	210 (as reported by Hugging Face)
Likes	0
Created	20 March 2026
Last updated at source	7 April 2026

speechkoreanbenchmarkaudio-language-modelLALMmultimodal

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