PainSpeech-4: Arabic Speech for Multilevel Pain Intensity Assessment

PainSpeech-4 is a speech dataset designed for automatic pain intensity assessment. The description indicates it contains multilevel labels for pain, suggesting a focus on clinical or affective computing applications. The dataset's author, organization, and specific collection details are not provided.

Use Cases

• Train models for automatic pain intensity classification based on speech features.
• Develop affective computing systems for healthcare monitoring using Arabic audio.
• Benchmark speech-based emotion or distress recognition algorithms.

Strengths

• Dataset is specifically designed for the task of multilevel pain intensity assessment from speech.
• Focuses on Arabic language speech data, which may address a gap in available resources.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.