SenseNova RoboRSI Packages
Versioned experience and in-context learning (ICL) packages for benchmarks integrated into SenseNova RoboRSI. This dataset repository stores the resources consumed by the evaluation framework. Simulator environments and benchmark Docker images are distributed separately.
Available packages
| Benchmark | Package version | Condition | Tasks | Package root |
|---|---|---|---|---|
DexJoCo (dexjoco) |
v1.0.0 |
rand_full |
11 | dexjoco/v1.0.0/ |
SIMPLE (simple) |
v1.0.0 |
simple_native_training_icl_v1 |
5 | simple/v1.0.0/ |
Bench2Dex (bench2dex) |
v1.0.0 |
task_icl_v3 |
26 | bench2dex/v1.0.0/ |
RoboDojo (robodojo) |
v1.0.0 |
public_training_frozen |
42 base / 54 mapped | robodojo/v1.0.0/ |
LIBERO-Long++ (libero-long-plus-plus) |
v1.0.0 |
efficiency_aligned_v12 |
12 mapped / 12 packages | libero-long-plus-plus/v1.0.0/ |
LIBERO-Ultra-Long (libero-ultra-long) |
v1.0.0 |
efficiency_aligned_v12 |
9 mapped / 9 packages | libero-ultra-long/v1.0.0/ |
LIBERO-PRO (libero-pro) |
v1.0.0 |
pro_persistent_memory_v18 |
80 mapped / 40 packages | libero-pro/v1.0.0/ |
RoboCasa365 Target50 (robocasa365) |
v1.0.0 |
target50_same_task_seed0 |
43 packages / 305 of 340 cells | robocasa365/v1.0.0/ |
BEHAVIOR (behavior) |
v1.0.0 |
official_21d_icl |
100 | behavior/v1.0.0/ |
packages.json is the machine-readable release index. Paths in
that index are relative to this repository root. Published version directories
are immutable; changes to an experience package require a new version directory.
Pin the full Hugging Face repository commit SHA when running evaluations.
Repository layout
README.md
LICENSE
packages.json
GUIDE.zh-CN.md
scripts/verify_package.py
dexjoco/v1.0.0/
README.md
LICENSE
LICENSE-MIT
THIRD_PARTY_NOTICES.md
third_party/
MANIFEST.sha256
knowledge_packages.json
rand_full/<task>/manifest.json
rand_full/<task>/payload/...
The DexJoCo release preserves all 292 source files byte for byte (34,781,416
bytes). Its task directories contain 279 files (34,693,512 bytes), including
154 JPEG images and 27 NumPy files. All 181 image/NumPy files use Git LFS.
The original MANIFEST.sha256 covers 291 package files, excluding itself.
The catalog pins 11 task manifests and 268 payload files.
Download a pinned release
Install huggingface_hub. Authenticate with hf auth login if the repository
is private and your account has access. Replace the placeholder below with a
full commit SHA from this repository's history.
from pathlib import Path
from huggingface_hub import snapshot_download
download_root = Path(snapshot_download(
repo_id="sensenova/SenseNova-RoboRSI-Packages",
repo_type="dataset",
revision="<FULL_COMMIT_SHA>",
allow_patterns=["dexjoco/v1.0.0/*", "scripts/verify_package.py", "packages.json"],
local_dir="./roborsi-packages",
))
package_root = download_root / "dexjoco" / "v1.0.0"
assert (package_root / "rand_full").is_dir()
huggingface_hub downloads the actual LFS file contents. For a Git checkout,
install Git LFS and run git lfs pull to populate binary files.
Pass the package root, not the repository/download root, to the companion DexJoCo evaluator. From that evaluator's code checkout, for example:
python scripts/fetch_knowledge.py --local-dir /absolute/path/to/roborsi-packages/dexjoco/v1.0.0
python scripts/verify_release.py --require-knowledge
Alternatively, pass the same package root to run_frozen.py --knowledge-root.
The archived package README describes the original standalone release layout;
its direct fetch_knowledge.py --repo-id ... example must not be applied to this
aggregate repository unless that downloader supports a package subdirectory.
Use --local-dir as shown above. The catalog's knowledge/rand_full/... paths
describe installation into the companion evaluator; the package-local path is
rand_full/.... Keep frozen payload files and task manifests unchanged.
To verify the downloaded package, run the following from the same working
directory as the download example. The trusted manifest hash below is the
checksums_sha256 recorded for DexJoCo v1.0.0 in the release index:
python roborsi-packages/scripts/verify_package.py roborsi-packages/dexjoco/v1.0.0 --manifest-sha256 024dca42f2424cb77f9fdba433f6d6447fe9b8c6efac082febae0c7f3c9b7935
This checks hashes; it does not execute any bundled Python policy/helper code. Running the benchmark additionally requires the compatible evaluator and simulator environment. Download/hash verification is not an evaluation smoke test.
Provenance and licenses
DexJoCo simulator commit: 8d23b0fab23b17a58c4b55f3942e17013aaf8267.
Source demonstration dataset: DexJoCo/DexJoCo-Datasets-Raw, revision
125df5c1019e97503929ef1a0ad8f90373436afa.
See the package README, manifests, and per-task payload/SOURCES.md for
preparation model, protocol, evidence, and source details. These packages apply
to rand_full; do not relabel them as rand_obj packages.
Licenses are component-specific. Retain the package's LICENSE, LICENSE-MIT,
THIRD_PARTY_NOTICES.md, third_party/, and per-task source records. In
particular, the bundled notices identify GeoRT-derived material with CC BY-NC
noncommercial terms. This aggregate repository does not relicense its contents.
Contribution guide
See the Chinese organization and upload guide, and the team's
RoboRSI ICL material upload guide.
Binary assets must be tracked with Git LFS. Benchmark IDs follow the benchmark
Docker image naming convention, including dexjoco for DexJoCo. Each benchmark
versions its packages independently; Docker image versions and package versions
are separate identifiers and their compatibility must be documented.
SIMPLE v1.0.0
See the SIMPLE release guide for download, verification, task mapping, and integration details. Five frozen task packages are included: XMovePick, BendPick, Handover, Tabletop, and PickBetweenTables. XMoveBendPick has no ICL package in this version. These contain 2,385 frozen payload files plus their five original manifests (about 200 MB), including training references, images/videos, numerical trajectories, robot metadata, and helper scripts. No learned policy weights or evaluation episode logs are included.
Download simple/v1.0.0/*, packages.json, and scripts/verify_package.py at a
fixed full repository commit. Use the SIMPLE entry's checksums_sha256 with
the shared verifier. Package-local task roots are tasks/<Task>/; do not use
DexJoCo-specific evaluator commands for SIMPLE. The archived package README
is retained byte for byte; RELEASE.md contains the current publication guide.
See SIMPLE component notices for provenance
and data-license limitations. Hash verification does not run a simulator or model.
Bench2Dex v1.0.0
See the Bench2Dex release guide for pinned download, verification and RoboRSI Agent staging. The 26 frozen task ZIPs total 1.194 GB and contain 3,610 payload files. All 33 original release files, including hidden files and notices, are preserved byte for byte. The shared verifier supports this ZIP catalog without extracting or executing payloads; existing DexJoCo and SIMPLE directory catalogs remain supported.
Download bench2dex/v1.0.0/*, packages.json and scripts/verify_package.py at a
full repository commit, then verify using the Bench2Dex index entry's
checksums_sha256. Pass the version root to RoboRSI agent_bundle --source
or run_suite --icl-source; this aggregate repository is not compatible with
the standalone root-level --repo-id download example. Official benchmark
assets and the simulator image are separate. The original
pending-license notice remains applicable;
this private submission does not establish public redistribution rights.
RoboDojo v1.0.0
See the RoboDojo usage guide. The release contains 27 complete sealed tar.gz experience packages: 21,387 original payload files and 2,521,855,428 uncompressed payload bytes, with 2,418,619,576 archive bytes. The catalog maps 42 original tasks and explicitly transfers base knowledge to 12 generalization variants; it includes no variant-specific demonstrations. These are historical public-training references, not weights or evaluation runs.
Download robodojo/v1.0.0/*, packages.json and scripts/verify_package.py at a
full repository commit. Verify the version root using trusted manifest SHA256
7f65416beb515b888f253be2da8ae4a27fa868359d09200659000f4a97ef00d5. The shared verifier checks tar archive, package-manifest and
payload hashes without extracting or executing the frozen helper code. The
sensenova_roborsi XPolicyLab policy installs these exact archives and uses
the standard Model/reset/update_obs/get_action and eval.sh entry points. Model
service access, official simulator environment/Assets and task results are
separate from package integrity. See the release's LICENSE_NOTICE.md for the
absence of an independent experience-data license statement.
LIBERO Long++, Ultra-Long and PRO v1.0.0
The three LIBERO releases preserve the exact sealed packages used by the delivered
no-VLA/no-SAM3 evaluation images: 12 Long++ v12 packages, 9 Ultra-Long v12 packages,
and 40 PRO persistent-memory v18 packages mapped to 80 Task/Swap cases. Each release
contains a frozen case map, machine-readable package catalog and complete checksum
manifest. Download the selected <benchmark-id>/v1.0.0/* path plus
scripts/verify_package.py at a full repository commit, then verify it with the
checksums_sha256 value in packages.json. Simulator assets, model weights,
credentials and evaluation results are not included.
RoboCasa365 Target50 v1.0.0
The release preserves the exact task memory built into the delivered HEART RoboCasa
evaluation image ghcr.io/opensensenova/sensenova-roborsi-robocasa365@sha256:8494fef17ee5979a072967632a2cb6ca885a165e87b01fb88d40c9f88b5b82e1:
111 files from RLinf/RPent-memory robocasa/results/ at revision
551fc3157b3e56b40a3d3a3b4c7ff81721ebe89b, split into 43 per-task packages. Each cell
uses only its own task's seed-0 memory; 7 tasks have none. Download robocasa365/v1.0.0/*
and scripts/verify_package.py at a full repository commit and verify with the
checksums_sha256 in packages.json. See the RoboCasa usage guide
for mounting the merged memory root into the image. Simulator assets, VLA weights,
credentials and evaluation results are not included.
BEHAVIOR v1.0.0
See the BEHAVIOR release guide for 100 task packages
with 22,935 frozen payload files. All 100 source ZIP inventories were verified;
retained files are byte-identical, while 693 generated bytecode files are omitted.
Original metadata is retained outside the evaluation payload. Download
behavior/v1.0.0/* at a full repository commit and verify it with the checksum
in packages.json. The updated RoboRSI downloader uses sealed task directories
directly; it does not accept the old task ZIPs. These are existing ICL materials,
not new simulator/model results.
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