| --- |
| pretty_name: CamxTime_new |
| tags: |
| - video |
| - camera-control |
| - time-control |
| - latent-dataset |
| --- |
| |
| # CamxTime_new |
| |
| Precomputed video latents, camera parameters, motion frame indices, timestamps, |
| captions, and a shared text embedding bank. Tensor files are uploaded byte-for-byte. |
| |
| | Split | Safetensors files | |
| | --- | ---: | |
| | train | 25,500 | |
| | eval | 256 | |
| | text_bank | 2,311 | |
|
|
| Train covers 417 scenes and four trajectories per scene. The 1,569 moving-camera |
| trajectories each contain source, backward, zigzag, slowmo, and 12 bullettime clips. |
| The 99 static-camera trajectories contain only the four non-bullettime patterns. |
| Bullettime freezes motion at original frame 0, 10, ..., 110 while camera indices |
| advance. All 18,828 training bullettime files have 81 frames at 832x480 and BF16 |
| Wan2.1 VAE latents of shape [16, 21, 60, 104]. Frozen motion indices and timestamps |
| were checked against the filename in all bullettime training files. |
|
|
| Each clip includes vae_latents, cam_c2w, cam_wm_c2w, intrinsic, intrinsic_wm, |
| timestamps, source_cam_idx, source_motion_frame, and string metadata. The metadata |
| __text_key__ refers to a file in text_bank. Embedded original filesystem paths are |
| provenance strings and are not needed to download the tensors. Evaluation files |
| come from the existing CamxTime_latents evaluation split; their pattern inventory |
| is independent of the training split described above. |
| |
| ## Layout and download |
| |
| Training files are grouped as train/Scene001/Scene001_traj01_source.safetensors |
| to stay within Hub directory entry limits. eval/ and text_bank/ retain their flat |
| layout. file-map.jsonl maps every original relative path to its repository path. |
|
|
| ```python |
| from huggingface_hub import snapshot_download |
| root = snapshot_download("HugMinjun/Camxtime", repo_type="dataset") |
| ``` |
|
|
| Use a recursive glob for train/*.safetensors, or use file-map.jsonl to restore the |
| original flat train directory. Load tensor files with safetensors.safe_open; text |
| embedding files are required in addition to the per-clip latent files. |
| |
| No new license grant is asserted by this upload. Consult the original data's |
| applicable terms before redistribution or downstream use. |
| |
