This dataset is used for unsupervised post-training of multi-modal large language models (MLLMs). It contains image-text pairs where the 'problem' field presents a question requiring reasoning and the 'answer' field provides a solution. This data supports the MM-UPT framework detailed in the associated paper.
2
5 commits
1 linked in READMEs
updated Jun 2, 2025
This dataset is used for unsupervised post-training of multi-modal large language models (MLLMs). It contains image-text pairs where the 'problem' field presents a question requiring reasoning and the 'answer' field provides a solution. This data supports the MM-UPT framework detailed in the associated paper.
The dataset contains 2101 examples in the training split. Each example includes:
4 commits
1 commits
This dataset is used for unsupervised post-training of multi-modal large language models (MLLMs). It contains image-text pairs where the 'problem' field presents a question requiring reasoning and the 'answer' field provides a solution. This data supports the MM-UPT framework detailed in the associated paper.
2
5 commits
1 linked in READMEs
updated Jun 2, 2025
This dataset is used for unsupervised post-training of multi-modal large language models (MLLMs). It contains image-text pairs where the 'problem' field presents a question requiring reasoning and the 'answer' field provides a solution. This data supports the MM-UPT framework detailed in the associated paper.
The dataset contains 2101 examples in the training split. Each example includes:
4 commits
1 commits