Fix critical bugs in function_of_decision_section task - #47
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This commit fixes two critical data quality issues that significantly impact model performance: 1. Typo correction: "faction background" → "factual background" - Fixed in base_prompt.txt, claude_prompt.txt, and README.md - The typo appears to be unintentional and confuses the task definition 2. Mislabeled example: - Text containing "judgment...is Affirmed" was incorrectly labeled as "Facts" - Corrected to "Decree" (the proper category for court orders) - Fixed in base_prompt.txt, claude_prompt.txt, and train.tsv - This mislabeling directly contradicts other correct examples in the few-shot prompts These bugs were causing models to receive contradictory few-shot examples, explaining the poor baseline performance (~49% accuracy) on this task. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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Summary
This PR fixes two critical data quality issues in the
function_of_decision_sectiontask that significantly impact model performance.Bugs Fixed
1. Typo: "faction background" → "factual background"
The typo appears in the definition of the "Facts" category and confuses the task definition.
2. Mislabeled Example
Text containing "judgment of the district court is Affirmed" was incorrectly labeled as "Facts" when it should be "Decree". This creates contradictory examples in the few-shot prompts.
Evidence
The first example in the prompt shows:
While the seventh example correctly shows:
Performance Impact
These bugs cause models to receive contradictory signals from the few-shot examples, which significantly degrades performance on this task. Correcting these issues should lead to more consistent and accurate model outputs.