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  # Marqo-GS-10M
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- This dataset is our multimodal, fine-grained, ranking Google Shopping dataset, **Marqo-GS-10M**, followed by our novel training framework: Generalized Contrastive Learning (GCL). GCL aims to improve and measure the **ranking** performance of information retrieval models,
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  especially for retrieving relevant **products** given a search query.
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  ```python
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  from datasets import load_dataset
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  # Marqo-GS-10M
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+ This dataset is our multimodal, fine-grained, ranking Google Shopping dataset, **Marqo-GS-10M**, followed by our novel training framework: [Generalized Contrastive Learning (GCL)](https://www.marqo.ai/blog/generalized-contrastive-learning-for-multi-modal-retrieval-and-ranking). GCL aims to improve and measure the **ranking** performance of information retrieval models,
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  especially for retrieving relevant **products** given a search query.
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+ Blog post: https://www.marqo.ai/blog/generalized-contrastive-learning-for-multi-modal-retrieval-and-ranking
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+ Paper: https://arxiv.org/pdf/2404.08535.pdf
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+ GitHub: https://github.com/marqo-ai/GCL
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  ```python
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  from datasets import load_dataset
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