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Richard-Nai/onetwovla-dataset

Datasets for OneTwoVLA [Project Page] | [Paper] | [Code] This repository provides datasets collected with the UMI, converted into the LeRobot data format, along with synthetic vision-language data used in the paper OneTwoVLA: A Unified Vision-Language-Action Model with Adaptive Reasoning. The robot data covers two main tasks: Cocktail Open-World Visual Grounding Dataset Folders cocktailContains 299 real-world demonstrations collected in the lab, each with… See the full description on the dataset page: https://huggingface.co/datasets/Richard-Nai/onetwovla-dataset.

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Dataset Card

Datasets for OneTwoVLA

[[Project Page]](https://one-two-vla.github.io/) | [[Paper]](https://huggingface.co/papers/2505.11917) | [[Code]](https://github.com/Fanqi-Lin/OneTwoVLA)

This repository provides datasets collected with the UMI, converted into the LeRobot data format, along with synthetic vision-language data used in the paper OneTwoVLA: A Unified Vision-Language-Action Model with Adaptive Reasoning.

The robot data covers two main tasks:

—Cocktail
—Open-World Visual Grounding

Dataset Folders

—cocktail Contains 299 real-world demonstrations collected in the lab, each with reasoning annotations.

—wild_move_to Includes both real robot data and synthetic vision-language data for the Open-World Visual Grounding task. The robot data consists of 932 demonstrations across 16 environments, featuring about 180 unique objects. The vision-language portion contains 6,000 synthetic images, augmented with fisheye distortion and/or a composited robot gripper. Reasoning annotations are available here.

—wild_move_to_no_vl This is the same as wild_move_to, but without the synthetic vision-language data.

—open_world_visual_grounding_vl_data.tar.gz Contains the 6,000 synthetic images ({0...5999}.png) and corresponding reasoning annotation files ({0...5999}_gemini.txt).