Feature Overview (mandatory - Complete while in New status)

• Precomputed skill dataset is massive in size and might lead to new user skills not being learned effectively if they are present in the precomputed dataset

Goals (mandatory - Complete while in New status)
Provide high-level goal statement, providing user context and expected user outcome(s) for this Feature

• Allow filtering the precomputed dataset to remove specific tags for skills from precomputed dataset that user wants to add themselves 
• Enable user's skills to be learned more effectively

Requirements (mandatory -_ Complete while in Refinement status):

• Research : Tag the precomputed dataset
• Engineering: Have the ability to run filters in the mixing stage

Done - Acceptance Criteria (mandatory - Complete while in Refinement status):

• Precomputed dataset can be tagged
• Filtering mechanism/knobs in post processing SDG stage

Use Cases - i.e. User Experience & Workflow: (Initial completion while in Refinement status):

Out of Scope {}{}(Initial completion while in Refinement status):

Documentation Considerations {}{}(Initial completion while in Refinement status):
Provide information that needs to be considered and planned so that documentation will meet customer needs. If the feature extends existing functionality, provide a link to its current documentation..
<your text here>

Questions to Answer {}{}(Initial completion while in Refinement status):

• [Shiv] Precomputed datasets are not tagged with tasks, so we need to use an llm to tag the samples.  Until that happens we wont be able to enable dataset filtering
• This is an advanced user knob, do we want to enable this for end user of Instruct Lab/RHEL AI or only document how to do this for field teams ? -  Yes, we want to introduce this in the product as well

Background and Strategic Fit (Initial completion while in Refinement status):

• IBM Sales teams are trying to do POCs and running into challenges due to this issue. 

Customer Considerations {}{}(Initial completion while in Refinement status):