challenge-download-datasets

Apps & Automation

Download the Simulation Challenge LeRobot v2.1 training datasets from ModelScope using ./scripts/download_dataset.sh. Pulls task-suite data (instruction / manipulation / sim2real) from the agibot_world/GenieSim3.0-Dataset repo into a local dir. Trigger: When the user asks to "下载训练数据", "下载数据集", "拉取 lerobot 数据", "download training data", "download the dataset", "get the lerobot v2.1 data", "download task suite", mentions download_dataset.sh, ModelScope GenieSim3.0-Dataset, or needs training data to train a challenge model.

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challenge-download-datasets — Fetch LeRobot v2.1 training data

Download the official LeRobot v2.1 training datasets for the Simulation Challenge from ModelScope (agibot_world/GenieSim3.0-Dataset) via the bundled download_dataset.sh. The data is organized into task suites; pick one or grab all of them.

Self-contained: the downloader ships with this skill at scripts/download_dataset.sh — you don't need the genie-sim repo checked out. The repo also has it at ./scripts/download_dataset.sh; either works. Examples below use $SKILL_DIR/scripts/download_dataset.sh where $SKILL_DIR is this skill's directory.

This produces the training corpus consumed when training/finetuning a contestant model — once you have a checkpoint, hand off to challenge-baseline-model (provision/run inference) and the rest of the challenge-help pipeline.

Prerequisite — modelscope CLI

The script shells out to the modelscope downloader. Install it once if missing:

command -v modelscope >/dev/null || pip install modelscope

Available task suites

Suite	Remote path	Notes
`instruction`	`task_suite/instruction_and_robust/**`	instruction-following demos — the instruction and robust boards share this one dataset
`manipulation`	`task_suite/manipulation/**`	manipulation demos

Each suite is downloaded in LeRobot v2.1 format.

Usage

Signature: download_dataset.sh [SUITE_NAME] [LOCAL_DIR]. Resolve the bundled script path first (works regardless of cwd), then call it:

SCRIPT="$(dirname "$0")/scripts/download_dataset.sh"   # or hard-code this skill's scripts/ path

# Download ONE suite to ./data/<suite>/  (default LOCAL_DIR is ./data/)
"$SCRIPT" instruction

# Download a suite to a custom base dir → /path/to/save/sim2real/
"$SCRIPT" sim2real /path/to/save

# Download ALL suites (instruction + manipulation + sim2real)
"$SCRIPT"

# Help
"$SCRIPT" -h

LOCAL_DIR is the base dir — output lands at <LOCAL_DIR>/<suite>/, so it doesn't matter which directory you invoke the script from.

Output layout: a suite lands at <LOCAL_DIR>/<suite>/ (default ./data/<suite>/). The script downloads to a temp dir first, then copies task_suite/<suite>/ contents into the target — so the task_suite/ prefix is stripped in the final layout.

Notes

Pick a suite to limit size — omitting SUITE_NAME downloads all three, which is large. Prefer naming the specific suite the user needs.
Resumable: modelscope download caches/resumes; re-running after an interruption continues rather than restarting from scratch.
Invalid suite names fail fast — the script only accepts instruction, manipulation, sim2real; anything else exits with the valid list.
Disk + network: downloads can be tens of GB. Run with run_in_background if driving from the assistant so the session stays responsive, and confirm the target disk has room first.
After data is in place, training is out of scope for this skill — see challenge-baseline-model to stand up inference once you have a checkpoint, and challenge-help for the full job pipeline.