This paper introduces a high-quality rich annotated Mandarin conversational (RAMC) speech dataset called MagicData-RAMC. The MagicData-RAMC corpus contains 180 hours of conversational speech data recorded from native speakers of Mandarin Chinese over mobile phones with a sampling rate of 16 kHz. The dialogs in MagicData-RAMC are classified into 15 diversified domains and tagged with topic labels, ranging from science and technology to ordinary life. Accurate transcription and precise speaker voice activity timestamps are manually labeled for each sample. Speakers' detailed information is also provided. As a Mandarin speech dataset designed for dialog scenarios with high quality and rich annotations, MagicData-RAMC enriches the data diversity in the Mandarin speech community and allows extensive research on a series of speech-related tasks, including automatic speech recognition, speaker diarization, topic detection, keyword search, text-to-speech, etc. We also conduct several relevant tasks and provide experimental results to help evaluate the dataset.

该研究介绍了一个高质量的、富有注释的汉语普通话会话数据集（MagicData-RAMC），包含180小时的汉语普通话对话录音数据，分为15个领域并带有主题标签，旨在丰富汉语言语社区的数据多样性，为自动语音识别、话者分离、主题检测、关键词检索、语音合成等一系列与语音相关的任务提供支持。

开源MagicData-RAMC:一份丰富标注的普通话对话(RAMC)语音数据集