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This dataset is designed for instruction fine-tuning on vision-language tasks related to road safety. Each sample consists of an input image, a question about the image, and a GPT-generated response as the output. For every image, three distinct questions are provided to encourage diverse reasoning and contextual understanding. The dataset includes approximately 10,000 unique images, resulting in a total of around 33,000 image–question–answer pairs.
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