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README.md
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@@ -58,9 +58,7 @@ Vintern-1B-v3 is a multimodal large language model series, featuring models of v
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## Training details π
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The fine-tuning dataset was meticulously sampled in part from the following datasets:
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[Viet-OCR-VQA π](https://huggingface.co/datasets/5CD-AI/Viet-OCR-VQA), [Viet-Doc-VQA π](https://huggingface.co/datasets/5CD-AI/Viet-Doc-VQA), [Viet-Doc-VQA-II π](https://huggingface.co/datasets/5CD-AI/Viet-Doc-VQA-II), [Vista πΌοΈ](https://huggingface.co/datasets/Vi-VLM/Vista), [Viet-Receipt-VQA π§Ύ](https://huggingface.co/datasets/5CD-AI/Viet-Receipt-VQA), [Viet-Sketches-VQA βοΈ](https://huggingface.co/datasets/5CD-AI/Viet-Sketches-VQA), [Viet-Geometry-VQA π](https://huggingface.co/datasets/5CD-AI/Viet-Geometry-VQA), [Viet-Wiki-Handwriting βοΈ](https://huggingface.co/datasets/5CD-AI/Viet-Wiki-Handwriting), [Viet-ComputerScience-VQA π»](https://huggingface.co/datasets/5CD-AI/Viet-ComputerScience-VQA), [Viet-Handwriting-gemini-VQA ποΈ](https://huggingface.co/datasets/5CD-AI/Viet-Handwriting-gemini-VQA), [Viet-Menu-gemini-VQA π½οΈ](https://huggingface.co/datasets/5CD-AI/Viet-Menu-gemini-VQA), [Viet-Vintext-gemini-VQA π](https://huggingface.co/datasets/5CD-AI/Viet-Vintext-gemini-VQA), [Viet-OpenViVQA-gemini-VQA π§ ](https://huggingface.co/datasets/5CD-AI/Viet-OpenViVQA-gemini-VQA), [Viet-Resume-VQA π](https://huggingface.co/datasets/5CD-AI/Viet-Resume-VQA), [Viet-ViTextVQA-gemini-VQA π](https://huggingface.co/datasets/5CD-AI/Viet-ViTextVQA-gemini-VQA)
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and ESPECIALLY ! [**Viet-Localization-VQA π»π³**](https://huggingface.co/datasets/5CD-AI/Viet-Localization-VQA)
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## Benchmarks π
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## Training details π
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The fine-tuning dataset was meticulously sampled in part from the following datasets:
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[Viet-OCR-VQA π](https://huggingface.co/datasets/5CD-AI/Viet-OCR-VQA), [Viet-Doc-VQA π](https://huggingface.co/datasets/5CD-AI/Viet-Doc-VQA), [Viet-Doc-VQA-II π](https://huggingface.co/datasets/5CD-AI/Viet-Doc-VQA-II), [Vista πΌοΈ](https://huggingface.co/datasets/Vi-VLM/Vista), [Viet-Receipt-VQA π§Ύ](https://huggingface.co/datasets/5CD-AI/Viet-Receipt-VQA), [Viet-Sketches-VQA βοΈ](https://huggingface.co/datasets/5CD-AI/Viet-Sketches-VQA), [Viet-Geometry-VQA π](https://huggingface.co/datasets/5CD-AI/Viet-Geometry-VQA), [Viet-Wiki-Handwriting βοΈ](https://huggingface.co/datasets/5CD-AI/Viet-Wiki-Handwriting), [Viet-ComputerScience-VQA π»](https://huggingface.co/datasets/5CD-AI/Viet-ComputerScience-VQA), [Viet-Handwriting-gemini-VQA ποΈ](https://huggingface.co/datasets/5CD-AI/Viet-Handwriting-gemini-VQA), [Viet-Menu-gemini-VQA π½οΈ](https://huggingface.co/datasets/5CD-AI/Viet-Menu-gemini-VQA), [Viet-Vintext-gemini-VQA π](https://huggingface.co/datasets/5CD-AI/Viet-Vintext-gemini-VQA), [Viet-OpenViVQA-gemini-VQA π§ ](https://huggingface.co/datasets/5CD-AI/Viet-OpenViVQA-gemini-VQA), [Viet-Resume-VQA π](https://huggingface.co/datasets/5CD-AI/Viet-Resume-VQA), [Viet-ViTextVQA-gemini-VQA π](https://huggingface.co/datasets/5CD-AI/Viet-ViTextVQA-gemini-VQA) and ESPECIALLY ! [**Viet-Localization-VQA π»π³**](https://huggingface.co/datasets/5CD-AI/Viet-Localization-VQA)
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## Benchmarks π
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