diff --git a/kedro-datasets/RELEASE.md b/kedro-datasets/RELEASE.md
index f5569c8ae..951141ef0 100755
--- a/kedro-datasets/RELEASE.md
+++ b/kedro-datasets/RELEASE.md
@@ -4,8 +4,9 @@
 ```bash
 pip install kedro-datasets[pandas-parquetdataset]
 ```
-* Remove `setup.py` and move to `pyproject.toml` completely for `kedro-datasets`.
+* Removed `setup.py` and move to `pyproject.toml` completely for `kedro-datasets`.
 * Added `NetCDFDataset` for loading and saving `*.nc` files.
+* Added dataset to load/save with Ibis.
 
 ## Bug fixes and other changes
 * If using MSSQL, `load_args:params` will be typecasted as tuple.
@@ -19,8 +20,8 @@ Many thanks to the following Kedroids for contributing PRs to this release:
 # Release 2.1.0
 ## Major features and improvements
 * Added `MatlabDataset` which uses `scipy` to save and load `.mat` files.
-* Extend preview feature for matplotlib, plotly and tracking datasets.
-* Allow additional parameters for sqlalchemy engine when using sql datasets.
+* Extended preview feature for matplotlib, plotly and tracking datasets.
+* Allowed additional parameters for sqlalchemy engine when using sql datasets.
 
 ## Bug fixes and other changes
 * Removed Windows specific conditions in `pandas.HDFDataset` extra dependencies
@@ -36,14 +37,14 @@ Many thanks to the following Kedroids for contributing PRs to this release:
 * Removed Dataset classes ending with "DataSet", use the "Dataset" spelling instead.
 * Added Hugging Face datasets `huggingface.HFDataset` and `huggingface.HFTransformerPipelineDataset`.
 * Removed support for Python 3.7 and 3.8.
-* Spark and Databricks based datasets now support [databricks-connect>=13.0](https://docs.databricks.com/en/dev-tools/databricks-connect-ref.html).
-* Bump `s3fs` to latest calendar-versioned release.
+* Added [databricks-connect>=13.0](https://docs.databricks.com/en/dev-tools/databricks-connect-ref.html) support for Spark- and Databricks-based datasets.
+* Bumped `s3fs` to latest calendar-versioned release.
 * `PartitionedDataset` and `IncrementalDataset` now both support versioning of the underlying dataset.
 
 ## Bug fixes and other changes
 * Fixed bug with loading models saved with `TensorFlowModelDataset`.
-* Make dataset parameters keyword-only.
-* Correct pandas-gbq as py311 dependency
+* Made dataset parameters keyword-only.
+* Corrected pandas-gbq as py311 dependency
 
 ## Community contributions
 Many thanks to the following Kedroids for contributing PRs to this release:
@@ -61,7 +62,7 @@ Many thanks to the following Kedroids for contributing PRs to this release:
 * Delayed backend connection for `pandas.SQLTableDataset`, `pandas.SQLQueryDataset`, and `snowflake.SnowparkTableDataset`. In practice, this means that a dataset's connection details aren't used (or validated) until the dataset is accessed. On the plus side, the cost of connection isn't incurred regardless of when or whether the dataset is used.
 
 ## Bug fixes and other changes
-* Fix erroneous warning when using an cloud protocol file path with SparkDataSet on Databricks.
+* Fixed erroneous warning when using an cloud protocol file path with SparkDataSet on Databricks.
 * Updated `PickleDataset` to explicitly mention `cloudpickle` support.
 
 ## Community contributions
@@ -73,7 +74,7 @@ Many thanks to the following Kedroids for contributing PRs to this release:
 
 # Release 1.7.1
 ## Bug fixes and other changes
-* Pin `tables` version on `kedro-datasets` for Python < 3.8.
+* Pinned `tables` version on `kedro-datasets` for Python < 3.8.
 
 ## Upcoming deprecations for Kedro-Datasets 2.0.0
 * Renamed dataset and error classes, in accordance with the [Kedro lexicon](https://github.com/kedro-org/kedro/wiki/Kedro-documentation-style-guide#kedro-lexicon). Dataset classes ending with "DataSet" are deprecated and will be removed in 2.0.0.