Sympatheia-18k: 18,000 Emotion-Aware Spoken Dialogue Pairs for Speech Synthesis

18,000 query–response dialogue pairs across 12 emotion categories, intended for empathetic speech synthesis research. The dataset includes synthesized audio and text transcripts, with subsets for emotional and neutral queries. It was created by susameddin and last updated on Hugging Face in May 2026.

Use Cases

• Training emotion-aware text-to-speech models based on the 12 emotion categories.
• Developing empathetic dialogue agents using the query–response pair structure.
• Benchmarking speech synthesis systems on emotional expressiveness using the provided audio.
• Studying the alignment between text transcripts and emotional prosody in synthesized speech.

Strengths

• Contains 18,000 total dialogue pairs, providing a substantial corpus.
• Covers 12 distinct emotion categories for nuanced emotional modeling.
• Includes both synthesized audio and text transcripts, enabling multimodal research.

Limitations

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

Provenance

Source

huggingface

Freshness

Last updated 2026-05-28 14:05:41; freshness should be verified.