Aligned 8 Emotion Dataset: Multimodal English and Amharic Text with Face Images

A multimodal dataset containing 88,360 face images and text in English and Amharic, annotated for 8 emotion categories. It is hosted on Kaggle and intended for sentiment and emotion analysis tasks. The author, organization, and specific collection details are not provided.

Use Cases

• Train multimodal emotion classifiers based on aligned text and facial images.
• Benchmark cross-lingual emotion recognition models based on the English and Amharic text data.
• Develop facial expression analysis models based on the 88,360 provided face images.
• Study the correlation between textual sentiment and visual emotion cues in a multimodal context.

Strengths

• Multimodal structure combining text and image data for aligned analysis.
• Includes 88,360 face images, providing a substantial visual component.
• Supports cross-lingual analysis with text in both English and Amharic.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the text component is unknown, which may limit suitability assessment.
• Data may reflect geographic or source bias inherent to its collection and hosting on Kaggle.

Provenance

Source

Kaggle