Camera Clone Dataset: Large-Scale Synthetic Videos for Camera Motion Learning

The Camera Clone Dataset is a large-scale synthetic dataset introduced in the CamCloneMaster project for camera clone learning. It encompasses diverse scenes, subjects, and camera movements. The dataset was created by KlingTeam and was last updated on Hugging Face in March 2026.

Use Cases

• Training models for camera motion synthesis based on the described diverse camera movements.
• Developing video generation systems based on the synthetic scenes and subjects.
• Researching camera clone learning techniques based on the dataset's stated purpose.
• Benchmarking multimodal models that combine video and text modalities.

Strengths

• Dataset is described as large-scale, suggesting substantial volume.
• Encompasses diverse scenes, subjects, and camera movements, indicating variety.
• Associated with a published paper (arXiv:2506.03140) and project page, providing research context.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, file formats, and exact size are unknown, which may limit suitability assessment.
• Data is synthetic, which may not fully capture the complexity of real-world video data.

Provenance

Source

KlingTeam on Hugging Face.

Collection Method

Synthetically generated, as described.

Time Range

null

Freshness

Last updated 2026-03-25 13:39:35; freshness should be verified.

Geography

null