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ZENODO
Dataset . 2025
Data sources: Datacite
ZENODO
Dataset . 2025
Data sources: Datacite
ZENODO
Dataset . 2025
Data sources: Datacite
ZENODO
Dataset . 2025
Data sources: Datacite
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BlEmoRe competition dataset

Authors: Lachmann, Tim; Müller, Philipp; Saghinadze, Teimuraz; Balazia, Michal; Laukka, Petri;

BlEmoRe competition dataset

Abstract

News This repository is being updated with pre-extracted feature embeddings to reduce preprocessing overhead for participants. Test dataset released, see the new file test.zip. Please provide your predictions in the submission_template.json format (included in this Zenodo record). This file contains the required structure for submissions. Please email your submission files to: Petri Laukka – petri.laukka@psyk.uu.se And we will get back to you shortly with your accuracy scores! Access Instructions This dataset is under restricted access and only available to participants of the BlEmoRe Competition. To gain access, please send a short email to:Petri Laukka – petri.laukka@psyk.uu.seInclude the following: A statement that you agree to the BlEmoRe Dataset Limited Use License Confirmation that you intend to participate in the challenge. Dataset Description This is the training partition of the BlEmoRe dataset, released as part of the BlEmoRe Challenge on Blended Emotion Recognition. It includes 2,456 multimodal portrayals of both basic and blended emotions, recorded under controlled studio conditions with synchronized audio and video. A total of 47 actors and actresses participated in the recordings. Each was instructed to express: Basic Emotions Anger, Disgust, Fear, Happiness, Sadness — portrayed in four different intensities (int1–int4) Neutral — portrayed in four distinct but equivalent imagined situations (sit1–sit4); these situations are not ordered or ranked, and are included primarily to increase variability in neutral portrayals Blended Emotions All pairwise combinations of the five basic emotions (excluding neutral) Portrayed in three blend ratios: 50/50: equal salience 70/30: first emotion dominant 30/70: second emotion dominant Expressions were conveyed using facial expressions, body movement, and non-linguistic vocalizations (e.g., sighs, laughs). Participants were instructed to appear naturalistic and avoid exaggerated or stereotypical portrayals. File Format & Naming Convention The dataset is split into five ZIP archives containing raw .mov video files. Each file follows the naming pattern: Basic emotions ___ Blended emotions _mix___ Description: : unique identifier for the actor/actress : one of the five basic emotions : int1–int4 for intensity, sit1–sit4 for neutral context : ver1, ver2, etc. (some portrayals have multiple valid takes) mix: appears only in blended emotion filenames Metadata A metadata file is provided, containing: Filename Emotion(s) and blend ratio Actor/actress gender Suggested validation fold assignment — each fold contains non-overlapping actors/actresses, and the folds are generally balanced by gender.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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