{"_id":"67fa0dc78c28b435d85b83df","id":"MERChallenge/MER2025","author":"MERChallenge","sha":"dffb4cef9209fb44459edc16a0c845baaa3ed4d0","lastModified":"2025-09-16T11:39:15.000Z","private":false,"gated":"auto","disabled":false,"tags":["language:en","license:cc-by-nc-4.0","arxiv:2410.01495","arxiv:2501.16566","arxiv:2306.15401","arxiv:2504.19423","region:us"],"description":"\n\n\t\n\t\t\n\t\n\t\n\t\tMER2025 Dataset\n\t\n\nWelcome to the official dataset for the MER2025 Challenge@ACM MM!\nMER2025 marks the third edition of our Multimodal Emotion Recognition (MER) series of challenges, aiming to bring together the affective computing community to explore emerging trends and future directions. This year, MER2025 focuses on the theme:  \n\n\t\n\t\t\n\t\n\t\n\t\t\"Affective Computing Meets Large Language Models\"\n\t\n\nWe seek to shift from traditional categorical emotion recognition frameworks, which… See the full description on the dataset page: https://huggingface.co/datasets/MERChallenge/MER2025.","downloads":2027,"likes":46,"cardData":{"license":"cc-by-nc-4.0","viewer":false,"extra_gated_prompt":"Explicit consent is given from Intelligent Interaction Group for academic research purposes only. The rights to the annotation of the MER dataset belong to Intelligent Interaction Group. No legal claims of any kind can be derived from accepting or using the dataset. Intelligent Interaction Group shall not be held liable for any damage resulting from accessing or using the dataset or any other files provided. The licensee is not permitted to distribute the dataset or any derivative files (such as annotation or labeling files) to third parties, nor may they modify the dataset without prior written consent from Intelligent Interaction Group.","extra_gated_fields":{"Team Name":"text","Team Members (separated by commas)":"text","Organization":"text","Country":"country","Specific Date":"date_picker","I want to use this dataset for":{"type":"select","options":["Research","Education",{"label":"Other","value":"other"}]},"I agree to use this dataset for non-commercial use ONLY":"checkbox"},"language":["en"]},"siblings":[{"rfilename":".gitattributes"},{"rfilename":"MER2025.png"},{"rfilename":"README.md"},{"rfilename":"README_AFTER_APPROVAL.md"},{"rfilename":"audio.zip"},{"rfilename":"openface_face/openface_face_split.z01"},{"rfilename":"openface_face/openface_face_split.z02"},{"rfilename":"openface_face/openface_face_split.z03"},{"rfilename":"openface_face/openface_face_split.z04"},{"rfilename":"openface_face/openface_face_split.z05"},{"rfilename":"openface_face/openface_face_split.z06"},{"rfilename":"openface_face/openface_face_split.z07"},{"rfilename":"openface_face/openface_face_split.z08"},{"rfilename":"openface_face/openface_face_split.z09"},{"rfilename":"openface_face/openface_face_split.zip"},{"rfilename":"subtitle_chieng.csv"},{"rfilename":"track1_test_dis.csv"},{"rfilename":"track1_train_disdim.csv"},{"rfilename":"track2_test.csv"},{"rfilename":"track2_train_mercaption.csv"},{"rfilename":"track2_train_mercaptionplus.csv"},{"rfilename":"track2_train_ovmerd.csv"},{"rfilename":"track3_train_mercaption.csv"},{"rfilename":"track3_train_mercaptionplus.csv"},{"rfilename":"track3_train_ovmerd.csv"},{"rfilename":"track_all_candidates.csv"},{"rfilename":"video/video_split.z01"},{"rfilename":"video/video_split.z02"},{"rfilename":"video/video_split.z03"},{"rfilename":"video/video_split.z04"},{"rfilename":"video/video_split.z05"},{"rfilename":"video/video_split.z06"},{"rfilename":"video/video_split.z07"},{"rfilename":"video/video_split.z08"},{"rfilename":"video/video_split.z09"},{"rfilename":"video/video_split.z10"},{"rfilename":"video/video_split.z11"},{"rfilename":"video/video_split.zip"}],"createdAt":"2025-04-12T06:52:55.000Z","usedStorage":442138265416}