Specify data type in CountVectorzier

[zkid18]

What happened:

I have the data in the following format:

0    Satellite TV|Golf Course|Airport Shuttle|Cosme...
1    Satellite TV|Cosmetic Mirror|Safe (Hotel)|Tele...
2    Satellite TV|Cosmetic Mirror|Safe (Hotel)|Tele...
3    Satellite TV|Sailing|Cosmetic Mirror|Telephone...
4    Satellite TV|Sailing|Diving|Cosmetic Mirror|Sa...

vect = CountVectorizer(tokenizer=lambda x: x.split("|"))
tf_df = vect.fit_transform(item_data['properties'])

What you expected to happen:

I want to use CountVectorizer to get the dataframe with the corresponding columns

Seems I need to specify the output type somehow. But I don't see CountVectorizer having an interface to specify metadata

ValueError: Metadata inference failed in `_count_vectorizer_transform`.

You have supplied a custom function and Dask is unable to 
determine the type of output that that function returns. 

To resolve this please provide a meta= keyword.
The docstring of the Dask function you ran should have more information.

Minimal Complete Verifiable Example:

# Put your MCVE code here

Anything else we need to know?:

Environment:

• Dask version:

dask                      2021.1.1           pyhd3eb1b0_0  
dask-core                 2021.1.1           pyhd3eb1b0_0  
dask-glm                  0.2.0                    py38_0  
dask-ml                   1.8.0              pyhd3eb1b0_0  

• Python version: Python 3.8.13
• Operating System: Ubuntu 20.04
• Install method (conda, pip, source): conda

Cluster Dump State:

[prafull904434]

sir/mam, may i work with that issue ,can you assign to me