task_categories:text-to-video task_categories:text-to-image task_categories:video-classification task_categories:image-classification size_categories:1K<n<10K language:en license:agpl-3.0 region:us
---
task_categories:
- text-to-video
- text-to-image
- video-classification
- image-classification
language:
- en
size_categories:
- 1K<n<10K
license: agpl-3.0
---

# TempoFunk Small

7.8k samples of metadata and encoded latents & prompts of random videos.

## Data format
- Video frame latents
  - Numpy arrays 
  - 120 frames, 512x512 source size
  - Encoded shape (120, 4, 64, 64)
- CLIP (openai) encoded prompts
  - Video description (as seen in metadata)
  - Encoded shape (77,768)
- Video metadata as JSON (description, tags, categories, source URL, etc.)