Ready-made datasets,
pick and deploy

Human first-person household demonstrations with hand-action semantics, task decomposition and object-interaction labels. Controlled shooting + teleoperation, consent-based and desensitized.

First-person kitchen operations across prep / cooking / cleaning task chains, action sequences aligned with language instructions.

First-person indoor movement with spatial-relation labels, path semantics and obstacle events — for spatial understanding and navigation training.

Cinema-grade clips with dense scene / visual / narrative / feature / sentiment labels, key-frame accuracy >90%* — first-choice corpus for video foundation models.

Documentary-grade real-physics footage covering natural motion, material interaction and lighting — high-fidelity corpus for world models.

Real human actions curated from a 2.3B+ clip pool with action semantics and temporal labels — scaled ammunition for the video-distillation track.

Multi-cam synchronized 4D video, cm-level spatial alignment*, with action semantics and spatial-relation labels.

Real-robot teleoperation end-effector trajectories aligned frame-level with vision — for VLA post-training and imitation learning.

Creator, post and comment data across 10 regions with sentiment labels, ASR transcripts and OCR fields — fully PII-desensitized.

SKU-level image-text alignment across major platforms — for multimodal retrieval and generative commerce.

Product, review and search corpora across major cross-border platforms, 30+ languages, SFT / RAG ready.

High-quality review corpora curated from a 23B+ text pool, human × AI cleaned, with stance and sentiment labels.