MMMich2026MITgated

SimpleICL-Data

Training and evaluation dataset for in-context robot learning on manipulation tasks, collected via an ICL-oriented data pipeline and organized in LeRobot v2.1 format.

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Why This Matters for Physical AI

This dataset demonstrates a scalable recipe for training robots to perform manipulation tasks via in-context learning, enabling more accessible and efficient robot learning without task-specific fine-tuning.

Technical Profile

Modalities
rgbproprioception
Task Types
manipulation
Data Format
LeRobot
Annotation Types
language_instructions
License
MIT
Part of the RoboTwin family

Access

This dataset requires access approval from the author on HuggingFace.

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