Dataset · Hugging Face

JusperLee/AudioTrust

Name: AudioTrust
Creator: JusperLee
License: cc-by-sa-4.0
Keywords: task_categories:audio-text-to-text, language:en, license:cc-by-sa-4.0, size_categories:1K<n<10K, format:parquet, modality:audio, modality:text, library:datasets, library:dask, library:mlcroissant, library:polars, arxiv:2505.16211, region:us, synthetic, trustworthiness

🎧 AudioTrust: Benchmarking the Multifaceted Trustworthiness of Audio Large Language Models 📜 Paper | 🎶 Demo | 💻 Code | 🤗 Dataset AudioTrust is a large-scale benchmark designed to evaluate the multifaceted trustworthiness of Multimodal Audio Language Models (ALLMs). It examines model behavior across six critical dimensions: 📊 Benchmark Tasks Task Metric Description Hallucination Detection Accuracy / Recall Groundedness of response in audio Robustness… See the full description on the dataset page: https://huggingface.co/datasets/JusperLee/AudioTrust.

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Author / organization	JusperLee
License (as declared)	cc-by-sa-4.0
Downloads	441 (as reported by Hugging Face)
Likes	7
Created	13 May 2025
Last updated at source	10 July 2025

synthetictrustworthinessaudio-llmbenchmark

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