Community Dataset v1 A large scale community contributed robotics dataset for vision language action learning, featuring 128 datasets from 55 contributors worldwide. We used this dataset to pretrain SmolVLA. However, this is not a complete set, but the dataset that we selected using specific filters, like fps, min num of episodes, and some qualitative assessment of video qualities, using the https://huggingface.co/spaces/Beegbrain/FilterLeRobotData tool. We also manually curated the task descriptions for this subset of the dataset. 🌟 Overview This dataset represents a collaborative effort from the robotics and AI community to build comprehensive training data for embodied AI systems. Each contribution contains demonstrations of robotic manipulation tasks with the SO100 arm, recorded using LeRobot tools, primarily focused on tabletop scenarios and everyday object interactions. 📊 Dataset Statistics Metric Value Total Datasets 128 Total Episodes 11,132 Total Frames 5,105,808 Total Videos 22,065 Contributors 55 Weighted Average FPS 30.4 Average Episodes per Dataset 87.0 Total Duration 46.9 hours Average Hours per Dataset 0.37 Primary Tasks Manipulation, Pick & Place, Sorting Robot Ty…
Runs entirely in your browser via DuckDB-Wasm — this dataset's real data file is loaded once, then queried locally. Nothing is sent to a server.
We use cookies for essential functionality and analytics. You can accept or reject analytics cookies.Cookie policy