diff --git a/docs/source/create_dataset.mdx b/docs/source/create_dataset.mdx index a35ac88fb4b..470f9e20eff 100644 --- a/docs/source/create_dataset.mdx +++ b/docs/source/create_dataset.mdx @@ -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: diff --git a/docs/source/index.mdx b/docs/source/index.mdx index 27d5b252948..1db5b294ded 100644 --- a/docs/source/index.mdx +++ b/docs/source/index.mdx @@ -6,7 +6,7 @@ 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.