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2 changes: 2 additions & 0 deletions docs/source/create_dataset.mdx
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Expand Up @@ -6,6 +6,8 @@ In this tutorial, you'll learn how to use 🤗 Datasets low-code methods for cre

> **Note**
>
> To learn how to structure your dataset repository (defining splits, subsets, and supported file formats) for automatic loading on the Hub, see the [Structure your repository](repository_structure) guide.
>
> If you want to learn how to load existing datasets, or how to load local and remote files (CSV, JSON, Parquet, etc.), see the [Load guide](https://huggingface.co/docs/datasets/loading).

This tutorial covers:
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2 changes: 1 addition & 1 deletion docs/source/index.mdx
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Load a dataset in a single line of code, and use our powerful data processing and streaming methods to quickly get your dataset ready for training in a deep learning model. Backed by the Apache Arrow format, process large datasets with zero-copy reads without any memory constraints for optimal speed and efficiency. We also feature a deep integration with the [Hugging Face Hub](https://huggingface.co/datasets), allowing you to easily load and share a dataset with the wider machine learning community.

Find your dataset today on the [Hugging Face Hub](https://huggingface.co/datasets), and take an in-depth look inside of it with the live viewer.
Find your dataset today on the [Hugging Face Hub](https://huggingface.co/datasets), and take an in-depth look inside of it with the live viewer. To learn how to structure your dataset files when sharing on the Hub, check out the [Structure your repository](repository_structure) guide.

<div class="mt-10">
<div class="w-full flex flex-col space-y-4 md:space-y-0 md:grid md:grid-cols-2 md:gap-y-4 md:gap-x-5">
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