japhba/loracle-ia-diverse-qa-subagent-10q

Loracle IA Diverse QA Subagent 10Q

This dataset is a derived, expanded version of ceselder/loracle-ia-diverse-qa.

It contains 10 question-answer pairs per LoRA for 453 Qwen3-14B IA model-organism LoRAs:

• —119 backdoor
• —134 quirk
• —100 harmful
• —100 benign

Total rows: 4,530.

What Is In Here

Each row is a LoRA-specific QA item grounded in:

• —the LoRA's behavior.txt
• —two selected support prompts from its train.jsonl
• —a same-family distractor LoRA
• —a paired mirror LoRA when available, such as backdoor <-> quirk and harmful <-> benign

The main parquet is:

• —data/train-00000-of-00001.parquet

Additional uploaded artifacts:

• —source_manifest.parquet
• —meta_subagent.json

Fields

• —lora_id
• —prompt_id
• —family
• —variant
• —training_repo
• —training_folder
• —behavior_description
• —qa_type
• —question
• —answer
• —support_prompt_id
• —secondary_support_prompt_id
• —distractor_lora_id
• —distractor_prompt_id
• —paired_lora_id
• —evidence_type
• —generation_source

Generation Method

The QA rows were generated by in-workspace subagents, not an external API model.

Generation was grounded in local source records built from:

• —introspection-auditing/llama-backdoor-mo-training-data
• —introspection-auditing/llama-quirk-mo-training-data
• —introspection-auditing/llama-harmful-mo-training-data
• —introspection-auditing/llama-benign-mo-training-data

Caveat

This is an LLM-written derived dataset. It passed structural validation, but it is not fully hand-curated and may still contain some semantic noise.