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# MapPool - Bubbling up an extremely large corpus of maps for AI
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(early access version)
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This repository contains URLs, textual descriptions, embeddings of 75 million potential maps. It has been derived from the [CommonPool dataset](https://huggingface.co/datasets/mlfoundations/datacomp_xlarge) from [DataComp](https://www.datacomp.ai/). The MapPool dataset may help to train resource-intensive architectures like Transformers or Diffusion Models in order to establish foundation models specialized on maps.
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## How is the data structured?
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# MapPool - Bubbling up an extremely large corpus of maps for AI
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(early access version)
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This repository contains URLs, textual descriptions, embeddings of 75 million potential maps. It has been derived from the [CommonPool dataset](https://huggingface.co/datasets/mlfoundations/datacomp_xlarge) from [DataComp](https://www.datacomp.ai/). The MapPool dataset may help to train resource-intensive architectures like Transformers or Diffusion Models in order to establish vision and language foundation models specialized on maps.
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## How is the data structured?
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