Running the eval

Evaluation Pipeline Concepts

**I. Core Workflow**

• The evaluation process involves iterating through every record in a dataset (referred to as a test case).
• The general flow is: Test Case → Merge with Prompt → Feed into Claude → Get Output → Feed through Grader.

**II. Key Functions**

• run_prompt
• Goal: To generate a response from the LLM (Claude) for a single test case.
• Process: Merges the specific task/test case with the defined prompt.
• Action: Sends the merged prompt to Claude via a chat function.
• Output: The raw text output received from Claude.
• Note: Currently, the prompt lacks formatting instructions (e. g. , forcing JSON or Python output).

• run_test_case
• Goal: To process and score a single test case.
• Process: Calls run_prompt using the test case to obtain Claude's output.
• Action: Grades the resulting output (currently hardcoded).
• Output: A dictionary summarizing the test case, the output, and the score.

• run_eval
• Goal: To execute the entire evaluation across the dataset.
• Process: Loads the complete dataset and iterates through every individual test case.
• Action: Calls run_test_case for each case.
• Output: A list containing all the aggregated results from every test case.

**III. Summary of Pipeline Status**

• The pipeline successfully merges the dataset with the prompt and generates outputs from Claude for all test cases.
• The final, critical step—Grading—is the remaining major component of the evaluation process.

Takeaways

• The evaluation pipeline iterates through every test case, merging it with a prompt before feeding it to Claude.
• run_prompt generates the raw text output from the LLM for a single test case by merging the task with the prompt.
• run_test_case processes a single case by calling run_prompt and then applying a grading function to the resulting output.
• run_eval executes the entire evaluation by iterating over the dataset and calling run_test_case for each record.
• The pipeline successfully generates outputs, but the final grading step is the critical remaining component of the evaluation process.