{"_id":"6814e22fc6761dd99d54874a","id":"MERChallenge/MER2024","author":"MERChallenge","sha":"fcf220762d645b83ea5fb235053b46a2b42bdd22","lastModified":"2025-05-06T16:40:22.000Z","private":false,"gated":"auto","disabled":false,"tags":["language:en","license:cc-by-nc-4.0","region:us"],"description":"\n\n\t\n\t\t\n\t\n\t\n\t\t🧠 MER2024: Multimodal Emotion Recognition Challenge Dataset\n\t\n\nMER2024 is a large-scale multimodal dataset released as part of the MER24 Challenge@IJCAI, which aims to advance the field of robust and practical multimodal emotion recognition. It builds upon the MER23 and MRAC23 datasets presented at ACM Multimedia, expanding both the data volume and task diversity to better reflect real-world challenges.\n\n\n\t\n\t\t\n\t\n\t\n\t\t🎯 Challenge Background\n\t\n\nMultimodal emotion recognition (MER)… See the full description on the dataset page: https://huggingface.co/datasets/MERChallenge/MER2024.","downloads":456,"likes":10,"cardData":{"license":"cc-by-nc-4.0","viewer":false,"extra_gated_prompt":"Explicit consent is given from Intelligent Interaction Group for the academic research. The rights to the annotation of MER dataset belong to Intelligent Interaction Group. No legal claims of any kind can be derived from accepting and using the database. Intelligent Interaction Group is not liable for any damage resulting from receiving, or using the database or any other files provided by Intelligent Interaction Group. The licensee is not permitted to hand over the database or any other files containing information derived from it (such as labelling files) to third parties, nor may they modify the database without obtaining expressed written consent from Intelligent Interaction Group.","extra_gated_fields":{"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":"MER2024.png"},{"rfilename":"README.md"},{"rfilename":"README_AFTER_APPROVAL.md"},{"rfilename":"final-EMER-reason.csv"},{"rfilename":"final-openset-chinese.csv"},{"rfilename":"final-openset-english.csv"},{"rfilename":"label-disdim.csv"},{"rfilename":"label-transcription.csv"},{"rfilename":"reference-noise.csv"},{"rfilename":"reference-semi.csv"},{"rfilename":"unlabeled-with-test2noise-subtitle_csv.zip"},{"rfilename":"video-labeled.zip"},{"rfilename":"video-unlabeled-with-test2noise/video-unlabeled-with-test2noise_split.z01"},{"rfilename":"video-unlabeled-with-test2noise/video-unlabeled-with-test2noise_split.z02"},{"rfilename":"video-unlabeled-with-test2noise/video-unlabeled-with-test2noise_split.z03"},{"rfilename":"video-unlabeled-with-test2noise/video-unlabeled-with-test2noise_split.z04"},{"rfilename":"video-unlabeled-with-test2noise/video-unlabeled-with-test2noise_split.z05"},{"rfilename":"video-unlabeled-with-test2noise/video-unlabeled-with-test2noise_split.z06"},{"rfilename":"video-unlabeled-with-test2noise/video-unlabeled-with-test2noise_split.z07"},{"rfilename":"video-unlabeled-with-test2noise/video-unlabeled-with-test2noise_split.z08"},{"rfilename":"video-unlabeled-with-test2noise/video-unlabeled-with-test2noise_split.z09"},{"rfilename":"video-unlabeled-with-test2noise/video-unlabeled-with-test2noise_split.zip"}],"createdAt":"2025-05-02T15:18:07.000Z","usedStorage":218428935176}