Dataset · Hugging Face

MINT-SJTU/Evo-DexBench-dataset

Name: Evo-DexBench-dataset
Creator: MINT-SJTU
Keywords: language:en, size_categories:n<1K, format:parquet, modality:text, modality:video, library:datasets, library:pandas, library:polars, library:mlcroissant, library:lerobot, arxiv:2610.21180, region:us, robotics, robot-learning, dexterous-manipulation

Evo-DexBench: Benchmarking Generalization across Related Tasks for Dexterous Manipulation 30 tasks | 6 functional families | 1,248 successful demonstrations | 3 scene layouts per task | HDF5 and LeRobot v3 Evo-DexBench is a benchmark and demonstration dataset for studying whether dexterous-manipulation policies can transfer functional interaction knowledge from related Core tasks to a new Gen task with only a few target demonstrations. Each task family contains… See the full description on the dataset page: https://huggingface.co/datasets/MINT-SJTU/Evo-DexBench-dataset.

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Author / organization	MINT-SJTU
Downloads	339 (as reported by Hugging Face)
Likes	0
Created	9 October 2026
Last updated at source	16 October 2026

roboticsrobot-learningdexterous-manipulationbenchmarklerobotvideo

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