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The dataset could not be loaded because the splits use different data file formats, which is not supported. Read more about the splits configuration. Click for more details.
Couldn't infer the same data file format for all splits. Got {NamedSplit('train'): ('videofolder', {}), NamedSplit('validation'): ('videofolder', {}), NamedSplit('test'): (None, {})}
Error code:   FileFormatMismatchBetweenSplitsError

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Optional training dataset

The PAARBench evaluation protocol does not require training trajectories. Its goal segments are tracked under data/pushobj_eval/, and evaluation reads fixed normalization metadata without opening the training dataset.

The training release is provided for researchers who want to reproduce base-model or adapter training, or develop methods that explicitly use offline trajectories:

.venv/bin/python scripts/download_data.py

The downloader fetches the immutable benchmark release from the ThomasWalker1/paarbench-data dataset repository into data/pushobj_multishape/ and verifies it against DATASET_MANIFEST.json.

Contents

The release contains only the nonredundant splits used by the training pipeline:

split episodes files bytes
train 7,200 7,206 864,106,305
val 800 806 97,366,292

Each split contains states.pth, velocities.pth, rel_actions.pth, abs_actions.pth, seq_lengths.pkl, shapes.pkl, and one MP4 observation stream per episode under obses/. Redundant root-level copies and intermediate shards are not part of the release.

The trajectories were generated in the PushObj simulator across the T, L, Z, and + shapes. No license is asserted here beyond the rights of the repository owner; users should review the dataset repository card and applicable upstream asset licenses before redistribution.

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