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@@ -30,5 +30,5 @@ This repo hosts the data generation pipeline, COCO-based instructional data, and
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  | Filename | Description |
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  | -------------------------------------- | ------------------------------------------------------------ |
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  |**VLMaug_coco_instruction_data** | Our COCO-based instructional data, which consists of 118,287 folders. Each folder contains multiple possible modified/generated images along with their corresponding single-image or image-pair QAs. Please unzip all the zip files (`data_partition[1~5].zip`).|
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- |**VLMaug-master.zip** | Our code for data generation, DPO training, visualization, and evaluation. |
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  |**VLMaug_twopairQA_benchmark.parquet**| Our image-pair input benchmark, which consists of 15,692 images and 7,846 QAs. Please refer to https://huggingface.co/datasets/VLMaug/VLMaug for preview.|
 
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  | Filename | Description |
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  | -------------------------------------- | ------------------------------------------------------------ |
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  |**VLMaug_coco_instruction_data** | Our COCO-based instructional data, which consists of 118,287 folders. Each folder contains multiple possible modified/generated images along with their corresponding single-image or image-pair QAs. Please unzip all the zip files (`data_partition[1~5].zip`).|
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+ |**VLMaug-master.zip** | Our code for data generation, DPO training, visualization, evaluation, and reproduce the numbers for baselines. |
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  |**VLMaug_twopairQA_benchmark.parquet**| Our image-pair input benchmark, which consists of 15,692 images and 7,846 QAs. Please refer to https://huggingface.co/datasets/VLMaug/VLMaug for preview.|