CH-SIMS Dataset: This dataset consists of 2,281 video clips from different data sources, with a total of 474 speakers. The modal categories include three modalities: vision, speech, and text. The SIMS

DataCite Commons2025-04-27 更新580

MuSe-Trust: Multimodal Trustworthiness Sub-challenge (MuSe2020)

多模态情感

对话情感识别

MuSe-Trust of MuSe2020: Predicting the level of trustworthiness of user-generated audio-visual content in a sequential manner utilising a diverse range of features and (optional) emotional (arousal an

Mendeley Data2024-05-10 更新200

CLAPv2/emo_webds_2_formatted_batch_27

情感语音识别

多模态情感

--- dataset_info: features: - name: __key__ dtype: string - name: __url__ dtype: string - name: flac dtype: audio - name: json struct: - name: length dtype: float64

Hugging Face2024-08-28 更新140

MuSe-Topic: Multimodal Emotion-Target Sub-challenge (MuSe2020)

多模态情感

特定领域主题预测

[Post-challenge] MuSe-Topic of MuSe2020: Predicting 10-class domain-specific topics as the target of 3-class (low, medium, high) emotions of valence and arousal. This package includes only MuSe-Topic

Mendeley Data2024-03-27 更新230

ytMMSA

多模态情感

数据集

This is a multi-modal dataset with 3 datasets: MOSI, MOSEI, and SIMS.

kaggle2024-01-18 更新160