From b4650ef086aeaa0ff31fb0a825eaa859389c504c Mon Sep 17 00:00:00 2001 From: Adam Narozniak Date: Tue, 2 Apr 2024 14:27:01 +0200 Subject: [PATCH] Rewrite intro --- datasets/doc/source/how-to-use-with-local-data.rst | 10 ++++++---- 1 file changed, 6 insertions(+), 4 deletions(-) diff --git a/datasets/doc/source/how-to-use-with-local-data.rst b/datasets/doc/source/how-to-use-with-local-data.rst index 9acfd23705b1..02cc06ec2362 100644 --- a/datasets/doc/source/how-to-use-with-local-data.rst +++ b/datasets/doc/source/how-to-use-with-local-data.rst @@ -1,11 +1,13 @@ Use with Local Data =================== -You can partition data from local files and in-memory data in -``Flower Datasets`` library using ``Partitioner`` s. -This guide details how to load and partition your dataset created from: +You can partition your local files and Python objects in +``Flower Datasets`` library using any available ``Partitioner``. -* local files: CSV, JSON, image, audio data, +This guide details how to create a `Hugging Face `_ `Dataset `_ which is the required type of input for Partitioners. +We will cover: + +* local files: CSV, JSON, image, audio, * in-memory data : dictionary, list, pd.DataFrame, np.ndarray.