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Vero-600k

Type
dataset
Venue
zlab-princeton
Year
2026
Source
huggingface
Access
free
Language
en
Added
2026-07-17T20:01:53.149734+00:00
Verified
2026-07-17T20:01:53.149734+00:00

Summary

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.

Keywords

hf-dataset reinforcement-learning parquet image text datasets dask polars mlcroissant multimodal visual-reasoning has-paper

Topics

Reinforcement Learning

Research notes

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