{"url":"/dataset/finedance","name":"FineDance","full_name":null,"description_markdown":"Click to add a brief description of the dataset (Markdown and LaTeX enabled).\r\n\r\nProvide:\r\n\r\n* a high-level explanation of the dataset characteristics\r\n* explain motivations and summary of its content\r\n* potential use cases of the dataset","description_withheld":null,"homepage":"https://li-ronghui.github.io/finedance","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/magic-multi-art-genre-intelligent","title":"FineDance: A Fine-grained Choreography Dataset for 3D Full Body Dance Generation","first_author":"Ronghui Li","url":null},"license":null,"modalities":[{"name":"3D","url":"/datasets/modality/3d"},{"name":"Music","url":"/datasets/modality/music"}],"tasks":[{"name":"Motion Synthesis","url":"/task/motion-synthesis","datasets_with_task":"/datasets/task/motion-synthesis"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["FineDance"],"data_loaders":[],"num_papers_in_archive":18,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/motion-synthesis-on-finedance","task":"Motion Synthesis","dataset_variant":"FineDance","rows":8,"metrics":["fid_k","BAS"],"first_row_in_archive_order":{"model":"DanceMosaic","paper":"/paper/dancemosaic-high-fidelity-dance-generation","metrics":{"BAS":"0.2254","fid_k":"19.36"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/dancemosaic-high-fidelity-dance-generation","title":"DanceMosaic: High-Fidelity Dance Generation with Multimodal Editability","date":"2025-04-06","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/lodge-high-quality-and-long-dance-generation","title":"Lodge++: High-quality and Long Dance Generation with Vivid Choreography Patterns","date":"2024-10-27","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/lodge-a-coarse-to-fine-diffusion-network-for","title":"Lodge: A Coarse to Fine Diffusion Network for Long Dance Generation Guided by the Characteristic Dance Primitives","date":"2024-03-15","rows_on_this_dataset":2,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":17,"samples_ran":10,"samples_unverified":7,"pointer_only_for_licence":17,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/edge-editable-dance-generation-from-music","title":"EDGE: Editable Dance Generation From Music","date":"2022-11-19","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":11,"samples_ran":7,"samples_unverified":4,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/bailando-3d-dance-generation-by-actor-critic","title":"Bailando: 3D Dance Generation by Actor-Critic GPT with Choreographic Memory","date":"2022-03-24","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":5,"samples_ran":4,"samples_unverified":1,"pointer_only_for_licence":5,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/a-brand-new-dance-partner-music-conditioned","title":"A Brand New Dance Partner: Music-Conditioned Pluralistic Dancing Controlled by Multiple Dance Genres","date":"2022-01-01","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/learn-to-dance-with-aist-music-conditioned-3d","title":"AI Choreographer: Music Conditioned 3D Dance Generation with AIST++","date":"2021-01-21","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":3,"samples_harvested":33,"samples_ran":21,"samples_unverified":12,"pointer_only_for_licence":22,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}