datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
magicmotion
MagicMotion: Controllable Video Generation with Dense-to-Sparse Trajectory Guidance
Quanhao Li*, Zhen Xing*, Rui Wang, Hui Zhang, Qi Dai, and Zuxuan Wu
* equal contribution
💡 Abstract
Recent advances in video generation have led to remarkable improvements in visual quality and temporal coherence. Upon this, trajectory-controllable video generation has emerged to enable precise object motion control through explicitly defined spatial paths.
However, existing methods… See the full description on the dataset page: https://huggingface.co/datasets/Qnancy/magicmotion.Intrinsic_1twitter-quanpingtaiwan2-2025.09.07-1964815203532726728-Iki_QNAPQZAX8XXn-part1camera_posenorsk-olje-gass-QnA-ColPalidermnet-sepnil-qna-style-fixedcamera_pose_editdermnet-sepnil-qna-styleautolaparo-qna-sample
AutoLaparo QnA Sample (spec-aligned subtypes)
A small, spec-aligned QnA dataset for surgical-video VQA.
Each record follows the same schema as the production file output/qna_dataset.json,
and each question_subtype is one of the subtypes defined in the project's spec/*.md.
Built from AutoLaparo Task 1 (workflow phase recognition, video 14) and Task 3
(instrument and anatomy segmentation).
11 records / 11 subtypes — exactly one record per supported subtype to keep the
sample… See the full description on the dataset page: https://huggingface.co/datasets/phamdt2003/autolaparo-qna-sample.combined_atlatl_qnaEgocentricflux_image_intrinsiccomplex_poseflux_gen_imagesflux_image_edit_masksflux_image_edit