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Add dataset card and integrity manifest

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  1. DATASET_MANIFEST.json +18 -0
  2. README.md +36 -0
DATASET_MANIFEST.json ADDED
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+ {
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+ "repository": "ThomasWalker1/paarbench-data",
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+ "root": "pushobj_multishape",
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+ "splits": {
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+ "train": {
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+ "episodes": 7200,
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+ "file_count": 7206,
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+ "total_bytes": 864106305,
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+ "tree_sha256": "1f5e743c220cde93322b3735c3ba7caa161826bd86368bea6901c94616c4488d"
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+ },
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+ "val": {
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+ "episodes": 800,
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+ "file_count": 806,
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+ "total_bytes": 97366292,
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+ "tree_sha256": "ea2e04833041a334409778f36942e9c57bb97eb69100738bda71caed4f1e0a87"
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+ }
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+ }
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+ }
README.md ADDED
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+ # Optional training dataset
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+
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+ The PAARBench evaluation protocol does **not** require training trajectories. Its goal
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+ segments are tracked under `data/pushobj_eval/`, and evaluation reads fixed
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+ normalization metadata without opening the training dataset.
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+
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+ The training release is provided for researchers who want to reproduce base-model or
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+ adapter training, or develop methods that explicitly use offline trajectories:
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+
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+ ```bash
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+ .venv/bin/python scripts/download_data.py
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+ ```
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+
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+ The downloader fetches the immutable benchmark release from the
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+ [`ThomasWalker1/paarbench-data`](https://huggingface.co/datasets/ThomasWalker1/paarbench-data)
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+ dataset repository into `data/pushobj_multishape/` and verifies it against
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+ `DATASET_MANIFEST.json`.
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+
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+ ## Contents
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+
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+ The release contains only the nonredundant splits used by the training pipeline:
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+
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+ | split | episodes | files | bytes |
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+ |---|---:|---:|---:|
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+ | `train` | 7,200 | 7,206 | 864,106,305 |
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+ | `val` | 800 | 806 | 97,366,292 |
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+
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+ Each split contains `states.pth`, `velocities.pth`, `rel_actions.pth`,
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+ `abs_actions.pth`, `seq_lengths.pkl`, `shapes.pkl`, and one MP4 observation stream per
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+ episode under `obses/`. Redundant root-level copies and intermediate shards are not
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+ part of the release.
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+
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+ The trajectories were generated in the PushObj simulator across the T, L, Z, and +
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+ shapes. No license is asserted here beyond the rights of the repository owner; users
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+ should review the dataset repository card and applicable upstream asset licenses
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+ before redistribution.