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- # TACO: Learning Multi-modal Action Models with Synthetic Chains-of-Thought-and-Action
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- [Paper](https://arxiv.org/pdf/2412.05479) | [Website](https://taco-project.github.io/) | [Code](https://github.com/SalesforceAIResearch/TACO) | [Datasets](https://huggingface.co/collections/Salesforce/cota-datasets-675333e57dd34a4adc5f3ff4)
 
 
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  ## Summary
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  TLDR: CoTA is a large-scale dataset of synthetic Chains-of-Thought-and-Action (CoTA) generated by multi-modal large language models or programs.
 
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+ # ๐ŸŒฎ TACO: Learning Multi-modal Action Models with Synthetic Chains-of-Thought-and-Action
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+ <h3 align="left"> <a href="https://taco-project.github.io/">๐ŸŒ Website</a> | <a href="https://arxiv.org/pdf/2412.05479">๐Ÿ“‘ Arxiv</a> | <a href="https://huggingface.co/collections/Salesforce/cota-datasets-675333e57dd34a4adc5f3ff4">๐Ÿค— Datasets</a>
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+ <h5 align="left"> If you like our project or are interested in its updates, please star us :) Thank you! โญ </h2>
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  ## Summary
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  TLDR: CoTA is a large-scale dataset of synthetic Chains-of-Thought-and-Action (CoTA) generated by multi-modal large language models or programs.