zlab-princeton/Vero-2.5M-unfiltered

Vero-2.5M-unfiltered [!Note] This repository contains the full unfiltered dataset used to construct Vero-600k and Vero-1.6M, before question and answer filtering. Note that task categories are not balanced in this dataset. 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-2.5M-unfiltered dataset, a curation of 2.5M reinforcement learning samples… See the full description on the dataset page: https://huggingface.co/datasets/zlab-princeton/Vero-2.5M-unfiltered.