From 7440e99351367eb5ee1dcbae6c3cae2f2f1bc1ae Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Juan=20Luis=20Cano=20Rodr=C3=ADguez?= Date: Fri, 18 Aug 2023 13:22:24 +0200 Subject: [PATCH] Typo MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Signed-off-by: Juan Luis Cano Rodríguez --- docs/source/data/data_catalog.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/source/data/data_catalog.md b/docs/source/data/data_catalog.md index be79f25dfd..680db626f7 100644 --- a/docs/source/data/data_catalog.md +++ b/docs/source/data/data_catalog.md @@ -144,7 +144,7 @@ kedro run --load-version=cars:YYYY-MM-DDThh.mm.ss.sssZ ``` where `--load-version` is dataset name and version timestamp separated by `:`. -A dataset offers versioning support if it extends the [`AbstractVersionedDataSet`](/kedro.io.AbstractVersionedDataSet) class to accept a version keyword argument as part of the constructor and adapt the `_save` and `_load` method to use the versioned data path obtained from `_get_save_path` and `_get_load_path` respectively. +A dataset offers versioning support if it extends the [`AbstractVersionedDataSet`](/kedro.io.AbstractVersionedDataset) class to accept a version keyword argument as part of the constructor and adapt the `_save` and `_load` method to use the versioned data path obtained from `_get_save_path` and `_get_load_path` respectively. To verify whether a dataset can undergo versioning, you should examine the dataset class code to inspect its inheritance [(you can find contributed datasets within the `kedro-datasets` repository)](https://github.com/kedro-org/kedro-plugins/tree/main/kedro-datasets/kedro_datasets). Check if the dataset class inherits from the `AbstractVersionedDataSet`. For instance, if you encounter a class like `CSVDataSet(AbstractVersionedDataSet[pd.DataFrame, pd.DataFrame])`, this indicates that the dataset is set up to support versioning.