Hi everyone I m using Kedro 0 17 4 and I m having this issue

Question

Rob · Answer

ValueError The following datasets are used with transcoding but were referenced without the separator delisting item features Please specify a transcoding option or rename the datasets

Rob · Answer

It comes from the validate transcoded inputs outputs

Rob · Answer

Deepyaman Datta · Answer

What are all the catalog entries references you have for `item features`

Rob · Answer

``` pandas parquet amp pandas parquet type pandas ParquetDataSet spark parquet amp spark parquet type spark SparkDataSet file format parquet load args header true save args header true mode overwrite delisting basic item features lt lt spark parquet filepath $ base path spark feature generation basic item features parquet delisting basket level item features lt lt spark parquet filepath $ base path spark feature generation basket level item features parquet delisting customer level item features lt lt spark parquet filepath $ base path spark feature generation customer level item features parquet delisting item features spark lt lt spark parquet filepath $ base path spark feature generation item features parquet delisting item features pandas lt lt pandas parquet filepath $ base path feature generation item features parquet``` This is my catalog but IDK if the error is referring to the path or the name of the dataset

Deepyaman Datta · Answer

When you create a node in the pipeline have you also used the transcoded names It seems like that s what may be missing

Deepyaman Datta · Answer

i e make sure you have `node my node func delisting item features pandas whatever ` instead of `node my node func delisting item features whatever `

Rob · Answer

Cool Yes I was using the wrong dataset name on other pipeline definition