Multimodal recordings of candidate interview responses categorized by personality traits and professional performance metrics. This dataset facilitates research in affective computing and automated soft-skill evaluation within human resources contexts by providing synchronized behavioral data.
Use Cases
- Predict interview performance scores using multimodal features extracted from candidate recordings
- Train automated personality assessment models using the provided personality trait labels
- Develop soft-skill evaluation algorithms by analyzing candidate response data and affective cues
Strengths
- Multimodal data streams including video recordings of candidate interview responses
- Quantitative labels for personality assessment and interview performance scores
- Designed for affective computing and automated soft-skill evaluation tasks