Roland Tannous 2c4c9b87cf refactor: 3-pass advisor — dedicated system prompt generation ... Pass 1: Classify dataset type (unchanged) Pass 2: Generate user/assistant templates + label mapping + column roles (system_prompt removed from this pass to keep it focused) Pass 3: Generate system prompt (only for non-conversational datasets) - Dedicated pass with focused prompt that sees the templates from Pass 2 - Skipped entirely for conversational datasets - Produces specific, task-relevant system prompts		2026-03-10 16:07:30 +00:00
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__init__.py	feat: add ShareGPT+image VLM format support and improve image column detection	2026-03-10 01:27:36 +00:00
chat_templates.py	Add AGPL-3.0 SPDX headers to all source files	2026-03-09 20:17:45 +00:00
data_collators.py	Add AGPL-3.0 SPDX headers to all source files	2026-03-09 20:17:45 +00:00
dataset_utils.py	fix: harden template mapping for complex column types and curly braces	2026-03-10 15:43:35 +00:00
format_conversion.py	feat: add LLM-assisted dataset detection using ephemeral GGUF helper	2026-03-10 09:20:45 +00:00
format_detection.py	fix: probe image column candidates when multiple exist	2026-03-10 01:38:33 +00:00
llm_assist.py	refactor: 3-pass advisor — dedicated system prompt generation	2026-03-10 16:07:30 +00:00
model_mappings.py	Add AGPL-3.0 SPDX headers to all source files	2026-03-09 20:17:45 +00:00
vlm_processing.py	debug: switch to print() for subprocess visibility	2026-03-10 12:49:01 +00:00