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Datasets:
wei682
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LLaVA_data

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LLaVA_data

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  1. Rename finetune/vg.tar.gz to finetune/data/vg.tar.gz

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  2. Rename finetune/textvqa.tar.gz to finetune/data/textvqa.tar.gz

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  3. Rename finetune/prompts.tar.gz to finetune/data/prompts.tar.gz

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  4. Rename finetune/ocr_vqa.tar.gz to finetune/data/ocr_vqa.tar.gz

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  5. Rename finetune/gqa.tar.gz to finetune/data/gqa.tar.gz

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  6. Rename finetune/eval_part_ad to finetune/data/eval_part_ad

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  7. Rename finetune/eval_part_ac to finetune/data/eval_part_ac

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  8. Rename finetune/eval_part_ab to finetune/data/eval_part_ab

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  9. Rename finetune/eval_part_aa to finetune/data/eval_part_aa

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  10. Rename finetune/coco2014_val_qa_eval.tar.gz to finetune/data/coco2014_val_qa_eval.tar.gz

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  11. Rename finetune/coco.tar.gz to finetune/data/coco.tar.gz

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  12. Rename finetune/LLaVA-Pretrain.tar.gz to finetune//data/LLaVA-Pretrain.tar.gz

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  1. Upload /finetune/eval_part_ac with huggingface_hub

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  2. Upload /finetune/eval_part_aa with huggingface_hub

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  3. Upload /finetune/eval_part_ab with huggingface_hub

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  4. Upload /finetune/eval_part_ad with huggingface_hub

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  5. Update README.md

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  6. Create README.md

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  7. Upload /finetune/coco.tar.gz with huggingface_hub

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  8. Upload /finetune/LLaVA-Pretrain.tar.gz with huggingface_hub

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  9. Upload /finetune/gqa.tar.gz with huggingface_hub

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  10. Upload /finetune/vg.tar.gz with huggingface_hub

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  11. Upload /finetune/textvqa.tar.gz with huggingface_hub

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  12. Upload /finetune/ocr_vqa.tar.gz with huggingface_hub

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  13. Upload /finetune/prompts.tar.gz with huggingface_hub

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  14. Upload /finetune/coco2014_val_qa_eval.tar.gz with huggingface_hub

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  15. Upload /pretrain/images.tar.gz with huggingface_hub

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  16. Upload /finetune/llava_v1_5_mix665k.json with huggingface_hub

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  17. Upload /pretrain/blip_laion_cc_sbu_558k.json with huggingface_hub

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  18. Delete README.md

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  19. Delete .gitattributes

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  1. Delete data

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  3. Delete data

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  5. Delete data

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  8. Delete data

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  10. Delete data

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  12. Delete data

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  13. Upload dataset

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  14. Upload dataset

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  15. Upload dataset

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  16. initial commit

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