datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
seamless-interaction-jefferson-annotations
Seamless Interaction Jefferson-Style Annotations
An automatic, turn-oriented annotation layer for the
Meta Seamless Interaction Dataset.
It compares the dataset's traditional transcript with an ASR-derived
Jefferson-style condition and supplies speech-act, communicative-purpose,
interactional-signal, alignment, and quality fields.
This is a derived noncommercial research dataset. It does not redistribute
the source audio. Every record retains the original interaction ID, split… See the full description on the dataset page: https://huggingface.co/datasets/kennethli319/seamless-interaction-jefferson-annotations.vocal-burst-annotation-asr-tuning-dataset
Vocal Burst Annotation ASR Tuning Dataset
A synthetic 500,000-sample multilingual dataset for training ASR models with inline vocal burst captioning, speaker diarization, and sentence-level timestamps. Each sample is approximately 1 minute of audio containing speech segments interleaved with vocal bursts (laughs, sighs, coughs, etc.), annotated with precise timing information.
Example Transcript
[nasalized, affirmative hum, steady pitch, moderate intensity]… See the full description on the dataset page: https://huggingface.co/datasets/TTS-AGI/vocal-burst-annotation-asr-tuning-dataset.