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PhysInOne / Utils /LEADERBOARD_DOWNLOAD.md
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PhysInOne Leaderboard Evaluation Data

This guide explains how to download the public evaluation data for all four PhysInOne Leaderboard tasks:

  • Video Generation
  • Future Prediction
  • Physical Properties Estimation
  • Motion Transfer

The data is hosted in the public vLAR/PhysInOne dataset repository under Leaderboard/. No Hugging Face access token is required for public downloads.

Install

Python 3.9 or newer is recommended. The downloader uses only the Python standard library; no third-party package or Hugging Face authentication is required.

Clone the GitHub repository, which contains the downloader and all maintained manifests:

git clone https://github.com/vLAR-group/PhysInOne.git
cd PhysInOne

The same script tree is mirrored under Utils/scripts/ in the Hugging Face dataset repository.

Progress display

Interactive terminals show a single live progress bar with completed file count, transferred and estimated total size, current download speed, and ETA. Because the manifests do not store object sizes, the total size and ETA are estimates that become more accurate as Hugging Face responses provide file sizes. Redirected output automatically uses periodic plain-text snapshots, and complete per-file records remain available under _download_logs/.

Quick start

Run these commands from the cloned GitHub repository root.

Download all four tasks:

python scripts/download_data.py \
  --task all \
  --output-dir ./PhysInOne-Leaderboard

Download one task:

python scripts/download_data.py \
  --task future-prediction \
  --output-dir ./PhysInOne-Leaderboard

Download multiple tasks in one run:

python scripts/download_data.py \
  --task video-generation motion-transfer \
  --output-dir ./PhysInOne-Leaderboard

Task names and file lists

For each selected task, the downloader reads a maintained TXT manifest bundled under scripts/download_lists/. It does not fetch utility files at runtime and does not scan unrelated parts of the large PhysInOne repository. The Hugging Face copies below are provided for inspection and reproducibility.

--task value Repository directory Maintained file list
video-generation Leaderboard/Video Generation/ video-generation.txt
future-prediction Leaderboard/Future Prediction/ future-prediction.txt
physical-properties-estimation Leaderboard/Physical Properties Estimation/ physical-properties-estimation.txt
motion-transfer Leaderboard/Motion Transfer/ motion-transfer.txt

Copyable task commands

Task Command Space-free local directory
Video Generation python scripts/download_data.py --task video-generation --output-dir ./PhysInOne-Leaderboard PhysInOne-Leaderboard/leaderboard/video_generation/
Future Prediction python scripts/download_data.py --task future-prediction --output-dir ./PhysInOne-Leaderboard PhysInOne-Leaderboard/leaderboard/future_prediction/
Physical Properties Estimation python scripts/download_data.py --task physical-properties-estimation --output-dir ./PhysInOne-Leaderboard PhysInOne-Leaderboard/leaderboard/physical_properties_estimation/
Motion Transfer python scripts/download_data.py --task motion-transfer --output-dir ./PhysInOne-Leaderboard PhysInOne-Leaderboard/leaderboard/motion_transfer/
All four tasks python scripts/download_data.py --task all --output-dir ./PhysInOne-Leaderboard PhysInOne-Leaderboard/leaderboard/

Use --list-only to print the selected public URLs without downloading data:

python scripts/download_data.py \
  --task motion-transfer \
  --list-only

Use --dry-run to show the number of selected files:

python scripts/download_data.py \
  --task all \
  --dry-run

Download individual scenes

--scene performs a case-insensitive substring match against repository paths. It accepts a complete scene name or the unique six-character scene ID and can be repeated.

python scripts/download_data.py \
  --task future-prediction \
  --scene yUlWPB \
  --output-dir ./PhysInOne-Leaderboard

python scripts/download_data.py \
  --task motion-transfer \
  --scene B15ta6 \
  --scene 7omQio \
  --output-dir ./PhysInOne-Leaderboard

ZIP extraction

By default, archives remain compressed. This saves disk space and preserves the exact released artifacts. Add --extract to validate each ZIP with a CRC check and safely extract it next to the archive:

python scripts/download_data.py \
  --task physical-properties-estimation \
  --output-dir ./PhysInOne-Leaderboard \
  --extract

To remove an archive after successful extraction, explicitly add --delete-zip-after-extract:

python scripts/download_data.py \
  --task future-prediction \
  --output-dir ./PhysInOne-Leaderboard \
  --extract \
  --delete-zip-after-extract

Allow enough free space before extracting. Keeping both a ZIP and its extracted contents can temporarily require approximately twice the archive's disk space.

Released contents

Video Generation

Each scene directory contains the first RGB frame from the selected static camera, the first RGB frame from the moving camera, the two corresponding Blender camera JSON files, and caption.txt.

Future Prediction

Each scene ZIP contains only fixed training views. It includes RGB frames 0000.jpg through 0074.jpg and the three split descriptions transforms_train.json, transforms_val.json, and transforms_test.json. Novel views and CineCamera_Moving are excluded from these public inputs.

Physical Properties Estimation

Each scene ZIP contains background images for novel views; background, RGB, and segmentation data for training views; camera JSON files for cameras 0 through 14; particle_materials.json; and recorder_stats.json. Novel views are selected from each scene's transform metadata rather than assumed to have fixed camera indices. Shared supplementary resources are stored under test_supp_info/.

Motion Transfer

Each scene ZIP contains source-video RGB frames, the first reference frame for the target/origin scene, and caption.txt, organized by the two selected camera views.

Output layout

The downloader keeps every scene-relative path unchanged but maps the four remote task roots to stable, space-free local names:

PhysInOne-Leaderboard/
|-- leaderboard/
|   |-- video_generation/
|   |-- future_prediction/
|   |-- physical_properties_estimation/
|   +-- motion_transfer/
+-- _download_logs/
    +-- YYYYMMDD_HHMMSS/
        |-- downloads.tsv
        |-- extractions.tsv
        |-- failures.tsv
        +-- summary.json

Resume and troubleshooting

Downloads use resumable anonymous HTTPS requests. Re-running the same command reuses completed files and resumes valid .part files. Review failures.tsv after each run and repeat the same command to retry failed files.

The default is four concurrent downloads. For a slow or rate-limited network, reduce concurrency:

python scripts/download_data.py \
  --task all \
  --output-dir ./PhysInOne-Leaderboard \
  --workers 2

Public downloads are anonymous. The downloader has no token parameter or credential-handling path.