EmoDialogCN/EmoDialogCN-21.8K

EmoDialogCN: A Multimodal Mandarin Dyadic Dialogue Dataset of Emotions

BackGround and Dataset Statistics

Official repository of the EmoDialogCN dataset – the first large-scale, high-quality Mandarin auditory-visual-emotion dialogue dataset featuring 21,800 spontaneous dialogues (over 400 hours) with synchronized video and audio.

• Actor diversity: 119 professional actors spanning varied demographics (age, gender, etc.).
• Emotion coverage: 18 discrete emotional categories with detailed annotations.
• Scenario richness: 20 everyday real-life contexts ensuring natural conversational flow and emotionally expressive delivery.
• Professional quality: Recorded in acoustically treated neutral studios using high-end cameras and microphones.
• Novel collection framework: Designed to minimize equipment interference, enabling authentic, nuanced capture of both acoustic and visual emotional signals.

Data Format

Data info

dataset_root/
├── raw_videos          # Original Channel Separation video recordings, 
│── video_data_part1.tar.gz
│── video_data_part2.tar.gz 
│── video_data_part3.tar.gz
    ├── {model_group}_{video_i_md5}_{left.mp4}
    ├── {model_group}_{video_i_md5}_{right.mp4}
    └── ...
│── EmoDialogCN_prompt.json # Dialogue Prompt
│── EmoDialogCN_prompt_cn.json # Chinese Dialogue Prompt
└── processed_samples/   # Extracted conversational segments
    ├── input.mp4
    ├── wav_left_segments # Left speaker diarization result
    ├── wav_right_segments # Right speaker diarization result
    ├── test_left_speaker_diarization_asr.json # Left speaker ASR result
    ├── test_right_speaker_diarization_asr.json  # Right speaker ASR result
    ├── video_segment # Dialogue Clip Generation, the original video is split into short clips organized by dialogue turns, facilitating downstream multimodal analysis.
    │   ├── 000000.mp4
    │   ├── 000001.mp4
    │   ├── 000002.mp4
    │   └── ...
    └── ...

Intended Uses

• ✅ Suitable for: machine learning training, statistical analysis, visualization research
• ❌ Not suitable for: direct commercial use (specify limitations)