Training general models on yaml data

[shray_sharma]

Hey guys, i am new to vertex Ai but i am exploring around and trying to create a model trained on a specific data set. 
the dataset in my case are a bunch of yaml files which are basically a collection of rest points I am concerned with. 
I am aiming to create a model which can parse these files and tell me if there is an end point which can help me achieve a specific result.

the problem I am facing is that I could not find a way to import yaml files into the dataset section. 
Should i be uploading the files as text files instead of yaml? or is there another way of doing this? 

[lsolatorio]

Hi @shray_sharma, 

Welcome and thank you for reaching out to our community.

As I understand your use case, you'll most likely fall under a text classification model of Vertex AI and the most common file formats used for training inputs are JSON and CSV files, however, YAML files are used as schema to create JSON your lines.

See these model development documents for reference:

• Classification
• Entity Extraction
• Sentiment Analysis
• Custom training

Hope this helps.