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Computational Choreography Conversation Analysis & Training Plan

Successfully extracted **32 conversations** (11.3% of dataset) specifically about Computational Choreography, containing **3,139 messages** (42.3% of all conversation data). This focused dataset is ideal for training a specialized DLM system for CC-related dialogue.

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Successfully extracted **32 conversations** (11.3% of dataset) specifically about Computational Choreography, containing **3,139 messages** (42.3% of all conversation data). This focused dataset is ideal for training a specialized DLM system for CC-related dialogue. | Metric | Value | |--------|-------| | **Total Conversations** | 32 | | **Total Messages** | 3,139 | | **User Messages** | 1,572 | | **Assistant Messages** | 1,567 | | **User:Assistant Ratio** | 1.00:1 (perfectly balanced!) | | **Average Messages/Conversation** | 98.1 | | Range | Count | Largest Topic | |-------|-------|---------------| | 300+ messages | 2 | LIM-RPS overview (356 msgs) | | 200-299 messages | 3 | Recursive polymodal synthesis | | 100-199 messages | 6 | Code implementation, Echelon | | 50-99 messages | 4 | U-Net, Audio processing | | < 50 messages | 17 | Various CC topics | | Model | Conversations | Notes | |-------|--------------|-------| | gpt-5-1 | 14 (44%) | Latest model, high quality | | gpt-5 | 14 (44%) | Solid performance | | auto | 3 (9%) | Mixed models | | gpt-4-5 | 1 (3%) | Beta model | ### 1. LIM-RPS (Listening-Interaction-Movement Recursive Polymodal Synthesis) **Conversations**: 3 | **Messages**: 750 (23.9% of CC data)

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