datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
BEAT2beat2-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.BEAT2_Toolslerobot-beat2meco_mhubert1000_beat2_2_20251024beat2_mhubert1000_bodypartbeat2_mimimeco_mhubert1000_beat2_2beat2_mhubert1000beat2_mimi_causalbeat2_query_answer_mhubert1000BEAT2beat2_mhubert1000_bodypart_facebeat2_mimi_bodypart_face_additionbeat2_mhubert1000_rvqbeat2_mimi_bodypart_faceBEAT-2-RenderBEAT2-archivebeat2_mimi_causal_additionbeat2_mimi_causal_bodypartbeat2_mimi_causal_addition_conv4_2025_0512beat2_mhubert1000_bodypart_pure_soundbeat2_mhubert1000_bodypart_pure_motionbeat2_mhubert1000_rvq_with_textgridbeat2_mimi_causal_addition_conv4_2025_0510meco_mhubert1000_beat2_2meco_mhubert1000_beat2_2_rvq6BEAT2