Dataset · Hugging Face

Jeff0918/MTR-DuplexBench

Name: MTR-DuplexBench
Creator: Jeff0918
License: cc-by-4.0
Keywords: task_categories:audio-classification, task_categories:automatic-speech-recognition, task_categories:text-to-speech, annotations_creators:machine-generated, annotations_creators:expert-generated, language:en, license:cc-by-4.0, size_categories:n<1K, format:parquet, modality:audio, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant

MTR-DuplexBench: Towards a Comprehensive Evaluation of Multi-Round Conversations for Full-Duplex Speech Language Models 🎉🎉 MTR-DuplexBench has been accepted by ACL 2026 Findings! 📄 Paper | 🤗 HuggingFace Dataset Affiliations: Tsinghua University, The Chinese University of Hong Kong, Huawei Dataset Description This dataset is constructed to evaluate multi-modal audio models across four critical dimensions: Conversational Features, Instruction Following, Safety… See the full description on the dataset page: https://huggingface.co/datasets/Jeff0918/MTR-DuplexBench.

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Author / organization	Jeff0918
License (as declared)	cc-by-4.0
Downloads	2.1K (as reported by Hugging Face)
Likes	2
Created	5 January 2026
Last updated at source	21 April 2026

speech-processingconversational-featuresmulti-roundinstruction-followingsafety-alignmentdialogue-quality

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