karthik789338/picd-video-cophy-collisioncf4

PICD-Video CoPhy CollisionCF_4 Processed States

This dataset contains the processed CoPhy CollisionCF_4 state-level data used for external diagnostic evaluation in the PICD-Video project.

PICD-Video studies physics-informed dynamic causal discovery from physical video/object-state sequences. This processed dataset supports external evaluation of collision-style dynamics, sparse event graph recovery, and counterfactual rollout diagnostics.

Contents

• data/processed/cophy/collisionCF_4_v2/

  • train.npz
  • val.npz
  • test.npz
  • counterfactual_test.npz
  • metadata.json
  • manifest.csv

• configs/cophy/

  • YAML config used for model training/evaluation.

• results/

  • Evaluation outputs and summary CSV files.

• paper_assets/

  • Paper-ready supplementary table files when available.

Preprocessing

The original CoPhy state arrays were converted into PICD-compatible object states:

[x, y, vx, vy, mass, radius]

Sparse event-style pseudo-edges were generated using a distance radius, nearest-neighbor filtering, and an approaching-motion criterion. The final processed CollisionCF_4 setup used 4 objects and 15 timesteps.

Important note

This repository contains processed state-level derivative data and evaluation summaries. It does not include raw CoPhy videos. Users should refer to the original CoPhy project for the source benchmark.

Code

https://github.com/karthik789338/picd-video

Intended use

• Reproducing PICD-Video CoPhy CollisionCF_4 diagnostic results.
• Evaluating physical collision dynamics from processed object states.
• Comparing graph-based, no-graph, static-graph, and trajectory-only baselines.

Limitations

In PICD-Video experiments, CoPhy CollisionCF_4 is used as an external diagnostic benchmark. No-graph and CPM-style models are strong trajectory baselines on this processed route, while PICD provides dynamic graph/event structure.