MuSe-Humor: Cross-Cultural Humor Detection Sub-Challenge (MuSe 2024) - Videos
Creators
- 1. University of Augsburg
- 2. University of Passau
- 3. Imperial College London
Description
Description: Predicting the presence of humor in football press conference recordings. Available modalities: audio and video, transcriptions. The dataset offers a cross-cultural setting: all press conferences in the training and development partition are held in German, and all videos in the test partition are taken from English Premier League press conferences.
Important: This package only contains the video recordings, please find labels, audio files, transcripts and features here: https://zenodo.org/records/11211840
Labels: windows of 2 seconds are given a binary label, indicating the presence and absence of humor. At least 7 human annotators labeled each video.
Dataset: MuSe-Humor is based on the Passau-Spontaneous Football Coach Humor (Passau-SFCH) dataset (paper). It includes press conference recordings of 10 different German Bundesliga football coaches collected in 2017. Moreover, for the MuSe 2024 challenge, recordings of 6 Premier League coaches have been added. The data provided here only includes segments in which the respective coach is speaking. The training data set contains recordings of 7 German-speaking coaches, development data consists of videos of 3 German-speaking coaches, and the test data set comprises recordings of 6 English-speaking coaches (one native speaker).
General: The 5th Multimodal Sentiment Analysis Challenge and Workshop (MuSe) 2024 addresses research questions that are of interest to affective computing, machine learning and multimodal signal processing communities and encourages a fusion of their disciplines. The goal of the MuSe workshop and challenge is to gain new insights into the merits of each of the core modalities and to serve as a stimulating environment for the development and evaluation of multimodal affect recognition approaches.
Files
Restricted
The record is publicly accessible, but files are restricted to users with access.
Request access
If you would like to request access to these files, please fill out the form below.
You need to satisfy these conditions in order for this request to be accepted:
This data set is available to participants of the MuSe 2023 workshop and challenge (co-located with ACM Multimedia 2023 in Ottawa, Canada). Please see here for all information on the registration for MuSe 2023 and the EULAs.
As a registered participant, please use your team name as justification.
If you wish to use the data for non-commercial research purposes other than MuSe 2023 participation, please download the general Passau-SFCH EULA here and send a scan to contact.muse2020 [at] gmail.com.
Please note that this dataset can only be shared with academic research teams.
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