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README.md
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@@ -32,7 +32,7 @@ Dataset: [SEA-VL Collection on HuggingFace](https://huggingface.co/collections/S
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Code: [SEA-VL Experiemnt](https://github.com/SEACrowd/sea-vl-experiments) | [SEA-VL Image Collection](https://github.com/SEACrowd/sea-vl-image-collection)
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Following the success of our SEACrowd project, we’re excited to announce [SEA-VL](https://seacrowd.github.io/seavl-launch/), a new open-source initiative to create high-quality vision-language datasets specifically for Southeast Asian (SEA) languages! We’re calling on contributors to help us build a SEA-specific vision-language model.
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SEA-VL is a big initiative, so we have decided to split it into two phases. In Phase 1 of SEA-VL, we’re looking for self-taken, culturally-relevant images with descriptions about the shared image. This will be cleaned and compiled into a comprehensive open-access SEA-relevant image dataset. To further extend the size of the culturally-relevant images, we also conduct SEA-relevant image dataset collection by developing a robust pipeline for crawling, filtering, and deduplication. This dataset will serve as the foundation for Phase 2, where we’ll develop instruction-tuning VL datasets and build a SEA-specific vision language model (VLM) using the constructed dataset.
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If you are interested in joining our initiative, please consider joining our [Discord Server](https://discord.gg/QV2rEyqwQk) and join our regular town hall meeting (More info in Discord)!
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Code: [SEA-VL Experiemnt](https://github.com/SEACrowd/sea-vl-experiments) | [SEA-VL Image Collection](https://github.com/SEACrowd/sea-vl-image-collection)
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## What is SEA-VL?
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Following the success of our SEACrowd project, we’re excited to announce [SEA-VL](https://seacrowd.github.io/seavl-launch/), a new open-source initiative to create high-quality vision-language datasets specifically for Southeast Asian (SEA) languages! We’re calling on contributors to help us build a SEA-specific vision-language model.
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SEA-VL is a big initiative, so we have decided to split it into two phases. In Phase 1 of SEA-VL, we’re looking for self-taken, culturally-relevant images with descriptions about the shared image. This will be cleaned and compiled into a comprehensive open-access SEA-relevant image dataset. To further extend the size of the culturally-relevant images, we also conduct SEA-relevant image dataset collection by developing a robust pipeline for crawling, filtering, and deduplication. This dataset will serve as the foundation for Phase 2, where we’ll develop instruction-tuning VL datasets and build a SEA-specific vision language model (VLM) using the constructed dataset.
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If you are interested in joining our initiative, please consider joining our [Discord Server](https://discord.gg/QV2rEyqwQk) and join our regular town hall meeting (More info in Discord)!
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## Citing SEA-VL
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