Add sanitized RoboCasa replay assets
#4
by yilin-wu - opened
README.md
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@@ -20,11 +20,19 @@ assets for IMPRINT.
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| `simulation/rmbench/molmoact2_eval_assets/` | MolmoAct2 metadata and 450 stored language embeddings |
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| `simulation/robocasa/600/` | Customized RoboCasa 600-episode shared store |
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| `simulation/robocasa/environment/` | Patched RoboCasa evaluation environment |
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The stores contain precomputed visual features and causal action/state streams
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used by the released training configurations. See `release_manifest.json` for
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immutable source revisions, file counts, and byte counts.
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Code, configuration, and evaluation instructions are published in the
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`Amazon-FAR/imprint` GitHub repository.
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| `simulation/rmbench/molmoact2_eval_assets/` | MolmoAct2 metadata and 450 stored language embeddings |
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| `simulation/robocasa/600/` | Customized RoboCasa 600-episode shared store |
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| `simulation/robocasa/environment/` | Patched RoboCasa evaluation environment |
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| `simulation/robocasa/replay/v1/` | Recorded replay scenes and Retrieve lineage inputs for all 12 RoboCasa task groups |
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The stores contain precomputed visual features and causal action/state streams
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used by the released training configurations. See `release_manifest.json` for
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immutable source revisions, file counts, and byte counts.
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Install the RoboCasa replay bundle from an IMPRINT checkout with:
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```bash
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python scripts/reproduce/setup_robocasa_replay_assets.py \
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--output artifacts/replay/robocasa-v1
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```
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Code, configuration, and evaluation instructions are published in the
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`Amazon-FAR/imprint` GitHub repository.
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release_manifest.json
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"bytes": 41746512,
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"destination": "Amazon-FAR/imprint_datasets"
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},
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"simulation/rmbench/full_attention": {
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"source": "yilin-wu/imprint-rmbench-full-attention",
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"source_revision": "7be585a21fa03b9d114d771c0bc67f5e244e7b06",
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"bytes": 41746512,
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"destination": "Amazon-FAR/imprint_datasets"
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},
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"simulation/robocasa/replay/v1": {
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"source": "IMPRINT paper evaluation replay scenes",
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"source_revision": "sha256:ce73132d4bcad7476c730db9bbf0c007346d229d4b0e72ea2e607cb123121166",
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"files": 3989,
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"bytes": 947947520,
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"destination": "Amazon-FAR/imprint_datasets",
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"archive": "robocasa-replay-assets-v1.tar",
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"archive_sha256": "ce73132d4bcad7476c730db9bbf0c007346d229d4b0e72ea2e607cb123121166"
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},
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"simulation/rmbench/full_attention": {
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"source": "yilin-wu/imprint-rmbench-full-attention",
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"source_revision": "7be585a21fa03b9d114d771c0bc67f5e244e7b06",
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simulation/robocasa/replay/v1/ASSET_MANIFEST.json
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{
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"asset_id": "imprint-robocasa-replay-v1",
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"benchmark": "customized-robocasa",
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"contents": {
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"pan_transfer": {
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"episodes": 510,
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"path": "pan_transfer/lerobot"
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},
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"retrieve": {
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"lineage_manifest": "retrieve/retrieve_combined350_lineage.json",
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"lineage_manifest_sha256": "1bc4b06030712c15c717d9e0f8036d950994d358854713f5bac727b43f7e4061",
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"source_datasets": 6,
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"source_root": "retrieve/sources"
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},
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"rinse_cutting_board": {
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"episodes": 107,
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"path": "rinse_cutting_board/lerobot"
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},
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"robocasa365": {
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"episodes": 528,
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"path": "robocasa365"
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},
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"sweeten_hot_chocolate": {
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"episodes": 50,
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"path": "sweeten"
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},
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"wash": {
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"episodes": 101,
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"path": "wash"
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}
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},
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"license": "See the public dataset card and upstream source terms.",
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"path_normalization": {
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"personal_filesystem_prefixes": "removed",
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"runtime_asset_locators": "/opt/imprint",
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"scene_numeric_payloads": "unchanged"
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},
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"schema_version": 1,
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"task_groups": 12
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}
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simulation/robocasa/replay/v1/README.md
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# IMPRINT RoboCasa Replay Assets v1
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This archive contains the immutable recorded-scene inputs used by the
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paper-compatible evaluator for all 12 customized RoboCasa task groups.
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## Layout
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```text
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retrieve/
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retrieve_combined350_lineage.json
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sources/
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wash/
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sweeten/
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pan_transfer/lerobot/
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rinse_cutting_board/lerobot/
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robocasa365/
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```
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The Retrieve manifest and source HDF5 files are checksum-pinned by the
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evaluator. Other task roots contain recorded `ep_meta.json`, `model.xml.gz`,
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and `states.npz` payloads. Sweeten also includes its recovery metadata and
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comparison evidence.
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Dataset and simulator assets remain subject to the source terms documented by
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the public dataset card; this bundle does not relicense third-party assets.
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Install the archive through the IMPRINT repository:
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```bash
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python scripts/reproduce/setup_robocasa_replay_assets.py \
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--output artifacts/replay/robocasa-v1
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```
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Then pass the extracted root to the coordinated evaluator:
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```bash
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python benchmarks/robocasa/eval/run_local.py \
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... \
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--replay-assets-root artifacts/replay/robocasa-v1
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```
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simulation/robocasa/replay/v1/robocasa-replay-assets-v1.tar
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version https://git-lfs.github.com/spec/v1
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oid sha256:ce73132d4bcad7476c730db9bbf0c007346d229d4b0e72ea2e607cb123121166
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size 947947520
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simulation/robocasa/replay/v1/robocasa-replay-assets-v1.tar.sha256
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version https://git-lfs.github.com/spec/v1
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oid sha256:497732fa4c83d55c6dddc4175fb7d351732bb965ba6c27512c501835a823ac8f
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size 96
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