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TwitterDataset Card for GeoQA-PLUS-aug-train-Vision-R1-cot-rewrite
This dataset provides a rewritten version of the CoT (Chain-of-Thought) annotations for the GeoQA-PLUS subset of the Vision-R1-cold dataset. It is designed to support efficient and structured multimodal reasoning with large language models.
Dataset Details
Dataset Description
The original Vision-R1 dataset, introduced in the paper Vision-R1: Reflective Multimodal Reasoning with Aha Moments, features… See the full description on the dataset page: https://huggingface.co/datasets/LoadingBFX/GeoQA-PLUS-aug-train-Vision-R1-cot-rewrite.
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TwitterDataset Card for GeoQA-train-Vision-R1-cot-rewrite
This dataset provides a rewritten version of the CoT (Chain-of-Thought) annotations for the GeoQA subset of the Vision-R1-cold dataset. It is designed to support efficient and structured multimodal reasoning with large language models.
Dataset Details
Dataset Description
The original Vision-R1 dataset, introduced in the paper Vision-R1: Reflective Multimodal Reasoning with Aha Moments, features detailed and… See the full description on the dataset page: https://huggingface.co/datasets/LoadingBFX/GeoQA-train-Vision-R1-cot-rewrite.
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TwitterDataset Card for GeoQA-PLUS-aug-train-Vision-R1-cot-rewrite
This dataset provides a rewritten version of the CoT (Chain-of-Thought) annotations for the GeoQA-PLUS subset of the Vision-R1-cold dataset. It is designed to support efficient and structured multimodal reasoning with large language models.
Dataset Details
Dataset Description
The original Vision-R1 dataset, introduced in the paper Vision-R1: Reflective Multimodal Reasoning with Aha Moments, features… See the full description on the dataset page: https://huggingface.co/datasets/LoadingBFX/GeoQA-PLUS-aug-train-Vision-R1-cot-rewrite.