datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
beat2-additional-annotations
BEAT2 Official Release + Additional Annotations
This is a fork of H-Liu1997/BEAT2
that adds annotations contributed by the
RAG-Gesture (CVPR 2025)
and MIBURI (CVPR 2026) projects.
The base BEAT2-English data (motion, audio, TextGrids, semantic labels,
pretrained motion-autoencoder weights) is inherited verbatim from upstream;
the additional annotations from RAG-Gesture and MIBURI are pushed on top.
Citations
If you use only the original BEAT2 dataset, please cite… See the full description on the dataset page: https://huggingface.co/datasets/m-hamza-mughal/beat2-additional-annotations.Emilia-with-Emotion-Annotations2Emilia-with-Emotion-Annotations4Emilia-with-Emotion-Annotations3Emilia-with-Emotion-Annotations5seamless-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.voxangeles_annotationsDEAM_continuous_annotationsmusicology-annotations
Signal Dat — Musicology Annotations Sample
50-track sample from the Signal Dat dataset: human-annotated musicology records for training generative audio AI, music recommendation, and MIR models.
Full dataset (710+ tracks) available at signaldat.com
What makes this different
Most audio datasets provide algorithm-extracted features (BPM, key, MFCC). Signal Dat provides human expert annotations — a trained musicologist listens to each track and documents what a… See the full description on the dataset page: https://huggingface.co/datasets/signal-dat/musicology-annotations.