NVIDIA Isaac GR00T: LeRobot v3-to-v2 dataset conversion

Convert an explicitly selected LeRobot v3 dataset to the v2.1 format used by this GR00T revision.

isaac-groot-scripts-lerobot-conversion-convert-v3-to-v2-py | Record version: source-94bc600b613be43133aabcddde64ca3188048a09cd84e293afe4d5a79614e24c

Record JSON | Markdown | Pinned upstream source

Access

Fetch the pinned repository, verify this source checksum, and use upstream installation and invocation. This record does not install or execute code.

Hub preparation adapter: false. Follow the upstream setup and invocation contract.

Source and license

Repository: https://github.com/NVIDIA/Isaac-GR00T
Revision: dac54b313160c201c450f97df0fd74ebd379c892
Path: scripts/lerobot_conversion/convert_v3_to_v2.py
Source SHA256: 94bc600b613be43133aabcddde64ca3188048a09cd84e293afe4d5a79614e24c
Original authors: NVIDIA CORPORATION & AFFILIATES
License: Apache-2.0
License scope: Only the 12 selected Python source files, each with explicit matching Apache-2.0 header. Preserve copyright and attribution, including source adaptation notices. Third-party code, datasets, simulators, robot firmware, services, model architecture components and weights retain separate terms.
License SHA256: 93363510f62ce25ad1a47605b0b06ab335edd82f1a444531c58dd30b6e5a5a0c
Hub commit: 1d6d9eb134e397d910265a8d6e7d8f257f9e8d7f

Artifact

{
  "kind": "workflow",
  "format": "python",
  "workflow_role": "dataset-conversion"
}

Requirements

{
  "python": "Dedicated scripts/lerobot_conversion/pyproject.toml declares >=3.10,<3.12. This differs from root gr00t >=3.12,<3.13; use the upstream separate conversion environment. No environment resolution was run.",
  "packages": [
    "Pinned gr00t source checkout",
    "Upstream PyTorch/CUDA or TensorRT stack as selected",
    "Matching simulator or robot connector only for selected workflow"
  ],
  "display": "No environment has been installed. Training, inference, platform architecture and robot-client environments differ; setup text is a declaration.",
  "execution_domain": "computation",
  "source_imports": [
    "__future__",
    "argparse",
    "collections",
    "huggingface_hub",
    "jsonlines",
    "lerobot.datasets.utils",
    "lerobot.utils.constants",
    "lerobot.utils.utils",
    "logging",
    "math",
    "numpy",
    "pathlib",
    "pyarrow.parquet",
    "shutil",
    "subprocess",
    "sys",
    "tqdm",
    "typing"
  ],
  "notes": "These are upstream source/document declarations, not verified installed dependencies or operating capabilities.",
  "declared_requirements": {
    "gpu_notes": "The conversion CLI requires --repo-id and can download Hugging Face data or overwrite its local dataset representation; no dataset or GPU execution was performed.",
    "checkpoint_or_model_access": "Dataset access may be local or Hugging Face; no model checkpoint is required by this conversion role.",
    "python": "Dedicated scripts/lerobot_conversion/pyproject.toml declares >=3.10,<3.12. This differs from root gr00t >=3.12,<3.13; use the upstream separate conversion environment. No environment resolution was run.",
    "external_service_or_network": "Upstream model/data retrieval, configured policy server and optional logging/robot connectivity depend on selection. No network service was invoked by this entrypoint during review.",
    "interpretation": "These are upstream source/document declarations, not verified installed dependencies or operating capabilities.",
    "package_declaration_path": "scripts/lerobot_conversion/pyproject.toml",
    "model_license_scope": {
      "upstream_readme_license_section": "Code: Apache-2.0; model weights: NVIDIA Open Model License",
      "evidence_path": "README.md",
      "checkpoint_license_applicability": "not_reviewed",
      "weights_acquired": false,
      "scope": "Source declarations only; no checkpoint access or downstream licensing clearance is inferred."
    }
  }
}

Invocation

{
  "entrypoint": "python scripts/lerobot_conversion/convert_v3_to_v2.py",
  "notes": "Read the pinned source and workflow setup. The conversion CLI requires --repo-id and can download Hugging Face data or overwrite its local dataset representation; no dataset or GPU execution was performed. Dataset access may be local or Hugging Face; no model checkpoint is required by this conversion role. No environment was resolved and no source was executed."
}

Explicit compatibility

[]

Missing environment fields remain unknown. Discovery labels do not establish robot compatibility.

Evidence

Level: source_reviewed; runtime verification: not_run.

Verified exact source, applicable license and author/setup document bytes at a full Git commit; parsed the Python AST and reviewed this guarded operational entrypoint and its explicit license notices. No upstream code, installation, robot command, dataset, mesh or checkpoint was executed or loaded.

Source review and contributor reports do not establish task completion. Preserve upstream attribution and licenses.