Video Dataset of Various Emotions for Recognition Tasks

Dataset comprises 1,000+ videos featuring 11 facial emotions and 15 inner emotions expressed by individuals from diverse backgrounds, including various races, genders, and ages. It is designed for emotion recognition research, focusing on emotion detection and emotion classification tasks.

By utilizing this dataset, researchers can explore advanced emotion analysis techniques and develop robust recognition models that can accurately identify and classify facial expressions and emotional categories. - Get the data

The dataset includes a wide range of emotional expressions, allowing for comprehensive studies in emotion predictions and expression recognition.

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Metadata for the dataset

Variables in .csv files:

id: Unique identifier for each video
inner_emotion: The inner emotion expressed in the video
facial_emotion: The facial emotion displayed in the video
transcript: Text transcription of the video's content
video: Link to the original video
text: Link to the transcription

The dataset contains videos that capture a variety of facial expressions and emotions, including both positive and negative emotions. Each video is annotated with detailed information about the emotions displayed, enabling researchers to conduct in-depth analyses and comparisons across different emotion categories.

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text stringclasses 10 values

(inner emotion: Positive, facial emotion: Happy) Er, hello, my name is Interian and I am, err, an American from Chicago.


(inner emotion: Positive, facial emotion: Neutral) Well, you gotta take in, you gotta take in, err, all the details first of already translated on time.


(inner emotion: Hesitant, facial emotion: Neutral) So, my, I’m half Mexican and my father’s father is from Mexico, born and raised in Mexico, and my mother’s father is also Mexican.


(inner emotion: Positive, facial emotion: Angry) Our roommates are stealing our Tupperware again even though we just cleaned it.


(inner emotion: Confident, facial emotion: Happy): All right, so it was a little while ago, and I got a job.