WaltonFuture/Multimodal-RL-Data

Multimodal-Cold-Start Dataset This dataset, named Multimodal-Cold-Start, is a crucial component of the two-stage training approach presented in the paper Advancing Multimodal Reasoning via Reinforcement Learning with Cold Start. It is specifically used for the first stage: supervised fine-tuning (SFT) as a "cold start." Curated by distilling data from Qwen2.5-VL-32B using rejection sampling, this dataset is designed to instill structured chain-of-thought reasoning patterns in… See the full description on the dataset page: https://huggingface.co/datasets/WaltonFuture/Multimodal-RL-Data.

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