zlab-princeton/Vero-600k

Vero-600k Vero is a fully open reinforcement learning (RL) recipe for training and evaluating multi-task visual reasoning with vision-language models. This repository contains the Vero-600K dataset, a curation of 600K reinforcement learning samples from 59 datasets across 6 diverse visual reasoning categories. Highlights Scale: 600K curated RL samples from 59 datasets. Diversity: Covers 6 broad categories: STEM Reasoning, Chart & OCR, Spatial & Action… See the full description on the dataset page: https://huggingface.co/datasets/zlab-princeton/Vero-600k.

<iframe src="https://silytics.si/embed/item/e2d0813f-9a94-4513-baa8-57e370d1b113" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 15 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.