- Introduced a new `SkillTreeType` enum to represent different skill tree categories: General, Coding, Data, and Scrape/Synthesize.
- Extended the `SkillTreeType` enum to provide associated string values and JSON file names for each category.
- Refactored the `SkillTreeViewModel` to reload the skill tree data based on the selected category.
- Enhanced `SkillTreeView` by adding a positioned dropdown in the top-left corner to allow users to select and load different skill tree categories dynamically.
* New benchmark data models
* Update _benchmarkBaseUrl
* Remove ReportRequestBody
* Update benchmark service methods for proxy approach
* Add eval id to SkillNodeData
* Refactor runBenchmark Method for proxy approach
This commit extends the SkillTreeNode class to incorporate new attributes such as 'data', 'label', and 'shape', making the model more comprehensive. The JSON deserialization is also updated to handle optional or missing fields by providing default values, improving the robustness of the model.
This commit updates the SkillNodeData class to handle optional or missing JSON fields more robustly. Now, the model provides default values for each field, ensuring that the object can be instantiated successfully even if some JSON fields are missing or set to null.
This commit updates the Info class to provide default values for optional or missing fields in the JSON payload. This ensures that the model can be successfully instantiated even when some JSON fields are absent or set to null.
This commit modifies the Ground class to make it more robust against optional or missing fields in the incoming JSON data. Default values have been added to ensure that the model can be instantiated even if some JSON fields are missing or set to null.
The SkillTreeEdge model represents the relationship between different skill nodes.
It includes:
- Edge ID
- Source node ID
- Destination node ID
- Arrows property to indicate directionality
The SkillNodeData model aggregates various data related to a skill node.
It includes:
- Node name
- Node category
- Associated task
- Dependencies
- Cutoff value
- Ground object for evaluation details
- Info object for metadata
The Info data model holds metadata about a skill node.
It includes:
- The difficulty level of the skill node
- A description of the skill node
- A list of potential side effects related to the skill node
The Ground data model stores evaluation information for each skill node.
It includes:
- The answer to be evaluated
- A list of terms that should be contained in the answer
- A list of terms that should not be contained in the answer
- A list of associated files
- A map for additional evaluation criteria
hunteraraujo