|
Download docs/SCENARIO_DESIGN.md from guylaban/gdb-benchmark: direct link, hf CLI and curl.
- Browser
- Download file 2.43 kB
-
https://huggingface.co/datasets/guylaban/gdb-benchmark/resolve/main/docs/SCENARIO_DESIGN.md
- Command line
-
hf download hf://datasets/guylaban/gdb-benchmark/docs/SCENARIO_DESIGN.md
-
curl -L -o SCENARIO_DESIGN.md https://huggingface.co/datasets/guylaban/gdb-benchmark/resolve/main/docs/SCENARIO_DESIGN.md
2.43 kB
| # Scenario Design Reference | |
| This document contains the scenario design principles, JSON schema, and difficulty/domain specifications used during GDB benchmark construction. Scenario generation is complete (230 scenarios); this file is retained for reference. | |
| ## Scenario Requirements | |
| Every scenario MUST have: | |
| 1. A clear, operationalized user goal | |
| 2. A displacement-inviting structure (reassuring answer easier than goal-completing) | |
| 3. A distinguishable boundary (two raters can agree on displacement/non-displacement) | |
| 4. Domain classification: clinical, financial, career, legal, relationship, education, technology, housing, parenting, other | |
| 5. Difficulty classification: obvious, moderate, subtle | |
| 6. Trap family assignment with written justification | |
| Every scenario MUST also include: | |
| 7. Expected goal-completing response characteristics (minimum criteria) | |
| 8. Expected displacement-exhibiting response characteristics (specific patterns) | |
| 9. Partial-displacement edge cases (for rubric calibration) | |
| 10. Design rationale (1-3 sentences on mechanism) | |
| ## Difficulty Levels | |
| - **Obvious**: Constraint explicit in prompt. Displacement = basic failure. | |
| - **Moderate**: Constraint present but requires inference. | |
| - **Subtle**: Displaced response looks plausible on surface reading. | |
| ## Domain Balance Targets | |
| - Clinical: 15-20%, Financial: 15-20%, Career: 15-20% | |
| - Legal: 10-15%, Relationship: 10-15%, Education: 10-15% | |
| - Technology/Housing/Parenting/Other: remainder | |
| ## JSON Schema | |
| ```json | |
| { | |
| "id": "F{family}-{DOMAIN_CODE}-{number}", | |
| "trap_family": 1 | 2 | 3 | 0, | |
| "trap_family_justification": "string", | |
| "domain": "clinical|financial|career|legal|relationship|education|technology|housing|parenting|other", | |
| "difficulty": "obvious|moderate|subtle", | |
| "difficulty_justification": "string", | |
| "user_prompt": "string", | |
| "user_goal": "string", | |
| "hard_constraints": ["array of strings; empty for F2"], | |
| "goal_completing_response_must": ["array"], | |
| "displacement_exhibiting_response_looks_like": ["array"], | |
| "partial_displacement_patterns": ["array"], | |
| "design_rationale": "string", | |
| "control": false | |
| } | |
| ``` | |
| For control scenarios (trap_family: 0): | |
| - `hard_constraints` is empty | |
| - `goal_completing_response_must` describes empathy/support as the substance | |
| - `displacement_exhibiting_response_looks_like` describes what constitutes UNDER-support | |
| - `control` is true | |