anonymous-submission-1/SEABED

SEABED: SouthEast Asian Benchmark for Evaluating Audio Reasoning SEABED (SouthEast Asian Benchmark for Evaluating Audio Reasoning) covers six audio-reasoning tasks: speech emotion recognition, speech affective interpretation, dialect and language identification, dialectal speech comprehension, prosodic ambiguity resolution, and long-form audio reasoning. This repository releases a stratified 10% sample (541 of 5,404 records) of its QA data for anonymous peer review, so reviewers… See the full description on the dataset page: https://huggingface.co/datasets/anonymous-submission-1/SEABED.