Update README.md

Signed-off-by: Jo Stichbury <[email protected]>

kedro-datasets/README.md

@@ -7,7 +7,7 @@
 [![PyPI Version](https://badge.fury.io/py/kedro-datasets.svg)](https://pypi.org/project/kedro-datasets/)
 [![Code Style: Black](https://img.shields.io/badge/code%20style-black-black.svg)](https://github.com/ambv/black)
 
-Welcome to `kedro_datasets`, the home of Kedro's data connectors. Here you will find `AbstractDataSet` implementations powering Kedro's DataCatalog created by QuantumBlack and external contributors.
+Welcome to `kedro_datasets`, the home of Kedro's data connectors. This is where to find concrete implementations of the `AbstractDataSet`, which have been created by QuantumBlack and by external contributors.
 
 ## Installation
 
@@ -23,12 +23,12 @@ We support a range of data connectors, including CSV, Excel, Parquet, Feather, H
 
 These data connectors are supported with the APIs of `pandas`, `spark`, `networkx`, `matplotlib`, `yaml` and more.
 
-[The Data Catalog](https://kedro.readthedocs.io/en/stable/data/data_catalog.html) allows you to work with a range of file formats on local file systems, network file systems, cloud object stores, and Hadoop.
+[The Data Catalog](https://docs.kedro.org/en/stable/data/index.html) allows you to work with a range of file formats on local file systems, network file systems, cloud object stores, and Hadoop.
 
-Here is a full list of [supported data connectors and APIs](https://docs.kedro.org/en/stable/kedro_datasets.html).
+This documentation set contains the full set of supported data connectors and APIs.
 
 ## How can I create my own `AbstractDataSet` implementation?
-Take a look at our [instructions on how to create your own `AbstractDataSet` implementation](https://kedro.readthedocs.io/en/stable/extend_kedro/custom_datasets.html).
+Take a look at our [instructions on how to create your own `AbstractDataSet` implementation](https://docs.kedro.org/en/stable/data/how_to_create_a_custom_dataset.html).
 
 ## Can I contribute?