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, Knowledge & Recognition, Grounding & Counting, and Instruction Following. Task Routed Rewards : Designed to handle heterogeneous answer formats across diverse tasks. Open Recipe : Fully open release of models, training code, evaluation suite, and dataset. Dataset Structure The dataset is organized into six broad task categories: 1. STEM reasoning 2. Chart and OCR 3. Spatial reasoning and action 4. Knowledge and recognition 5. Grounding, counting, and visual search 6. Captioning and instruction following For detailed dataset format, curation details, and reward routing metadata, see the Data Guide. Sample Usage To download and format the Vero 600k dataset for RL training using the official setup script: This script exports images in…
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