InnovatorLab/Innovator-VL-RL-172K
Innovator-VL-RL-172K Paper | Code Introduction Innovator-VL-RL-172K is a curated multimodal reinforcement learning (RL) training dataset containing approximately 172K instances.It is designed to support vision-language reasoning and complex decision-making during RL/RLHF-style optimization, where the goal is to improve a model’s ability to consistently select high-quality responses rather than merely expanding knowledge coverage. The dataset emphasizes samples… See the full description on the dataset page: https://huggingface.co/datasets/InnovatorLab/Innovator-VL-RL-172K.
| Author / organization | InnovatorLab |
|---|---|
| License (as declared) | mit |
| Downloads | 147 (as reported by Hugging Face) |
| Likes | 3 |
| Created | 23 January 2026 |
| Last updated at source | 6 February 2026 |
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- 16 Oct 2026 Description: Innovator-VL-RL-172K Paper | Code Introduction Innovator-VL-RL-172K is a curated multimodal reinforcement learning (RL) training dataset containing approximately 172K instances.It is designed to support vision-language reasoning and complex → Innovator-VL-RL-172K Paper | Code Introduction Innovator-VL-RL-172K is a curated multimodal reinforcement learning (RL) training dataset containing approximately 172K instances.It is designed to support vision-language reasoning and complex
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