# GRADED FUNCTION: preprocess_dataset error - "name 'labels' is not defined"

[Sandip_Purnapatra]

Related topic: https://community.deeplearning.ai/t/re-graded-function-preprocess-dataset/708885

I am running in to the “name ‘labels’ is not defined” error while preprocessing the dataset before training.

Please advise!

[Deepti_Prasad]

The correction you made to the dataset where I mentioned you to use text_vectorizer for text and label_encoder for labels. I no where mentioned you to use dataset.map. So that is the incorrect correction you did.

Let me know if it stills throws any error, then we might have to look at your codes.

Also sharing a post comment link which will provide you to understand on checking if your other grade cells codes are recalled correctly. Please read comments with one instruction at a time, so you don’t misunderstand or confuse it.

C3W2 - IOPub issue on fit_label_encoder function

hi @xvalnsz First of all thank you for following community guidelines as only codes are asked to shared via DM by mentors if they want to check for probable error in your codes. As you are using first time discourse community, I should also probably give a heads up on to share any grade cell codes here as it is against community guidelines. Now comes to your error. An IOPub data rate exceeding points you to check if your codes are correctly recalled for previous grade cells even though you h…

Regards
DP

[Sandip_Purnapatra]

Thank you for your response.

I did all previous graded cells correctly, what was confusing me was the use of lambda inside dataset.map(lambda ). I was confused, even if I send text and labels as argument, and add the function recalls with arguments as the expression of lambda, why I was still getting “name ‘text’ or ‘labels’ is not defined” error!
This last part was confusing, I tried many other fixes [using another dataset.map or .adapt() for function recalls] that did not help solve the problem, instead resulted in different errors.
At last, I understood the expression part of lambda needs to be a tuple, so I just needed to put the function recalls within () !!!
Now all of it seems so obvious! lol!