zlab-princeton/Vero-1.6M
Vero-1.6M [!Note] This repository contains an expanded version of Vero-600K, using the same dataset curation and filtering process, but with a larger set. 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-600K dataset, a curation of 600K reinforcement learning samples from 59 datasets… See the full description on the dataset page: https://huggingface.co/datasets/zlab-princeton/Vero-1.6M.
| Author / organization | zlab-princeton |
|---|---|
| Downloads | 931 (as reported by Hugging Face) |
| Likes | 2 |
| Created | 26 May 2026 |
| Last updated at source | 11 June 2026 |
Popularity, last 4 days
931 now (-7 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- Vero: An Open RL Recipe for General Visual ReasoningPaper · cites
Related papers
More from zlab-princeton
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 19 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.