Dataset · Hugging Face

Tr0612/ShortMetaWorld

Name: ShortMetaWorld
Creator: Tr0612
License: mit
Keywords: task_categories:robotics, task_categories:reinforcement-learning, language:en, license:mit, size_categories:10K<n<100K, format:imagefolder, modality:image, library:datasets, library:mlcroissant, region:us, metaworld, short-metaworld, robotics, manipulation, multi-task

Short-MetaWorld-VLA (v2 + v3) Overview This dataset contains a short MetaWorld collection used for VLA-style training and evaluation. Current local structure includes: 24 task files in r3m_MT10_20 (12 v2 + 12 v3) 100 trajectories per task 20 or 50 steps per trajectory (task/version dependent) 84,000 total step samples from PKL action/state streams Dataset Structure short-metaworld-vla/ ├── mt50_task_prompts.json ├── short_metaworld_loader.py ├──… See the full description on the dataset page: https://huggingface.co/datasets/Tr0612/ShortMetaWorld.

View on Hugging FaceReport an issue

Author / organization	Tr0612
License (as declared)	mit
Downloads	1.1K (as reported by Hugging Face)
Likes	0
Created	23 April 2026
Last updated at source	24 April 2026

metaworldshort-metaworldroboticsmanipulationmulti-taskvision-languageimitation-learningr3m

Embed this entry

<iframe src="https://silytics.si/embed/item/f1c5f0ab-64f4-4b36-af77-f32701fdce5c" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.