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Add Conversation-Level Analysis #1914
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- Add analyze_conversation() method to SampleAnalyzer base class - Implement conversation analysis in LengthAnalyzer with conversation rendering - Add ConversationAnalysisResult dataclass and update DatasetAnalysisResult - Add conversation-level querying and DataFrame generation methods - Update test files to implement analyze_conversation() in mock analyzers This allows analyzers to compute both message-level and conversation-level metrics, with conversation-level analysis potentially giving different results than aggregating individual message metrics.
…t into SampleAnalysisResult - Create new SampleAnalysisResult class that combines message-level and conversation-level results - Update SampleAnalyzer to return SampleAnalysisResult instead of DatasetAnalysisResult - Refactor DatasetAnalysisResult to contain list of SampleAnalysisResult objects - Update LengthAnalyzer and all test files to work with new structure - Simplify data organization and make analyzer results more intuitive - All tests passing and code formatting compliant
- Fix DatasetAnalyzer to automatically pass tokenizer from config to analyzer constructors - Resolves issue where LengthAnalyzer with token_count=True failed without tokenizer - Maintains backward compatibility for analyzers that don't need tokenizers - Fix import issue in test file - All tests passing and code formatting compliant
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oelachqar
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Aug 7, 2025
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Description
This PR adds dual-level conversation analysis - enabling both message-level and conversation-level analysis of datasets.
Main changes:
Related issues
Fixes OPE-1455
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