--- license: cc-by-nc-sa-4.0 --- # 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)