[BREAKING] FEAT: Restructure Psychosocial scenario for per-subharm scoring

doc/code/datasets/1_loading_datasets.ipynb

@@ -85,6 +85,7 @@
        " 'airt_illegal',\n",
        " 'airt_imminent_crisis',\n",
        " 'airt_leakage',\n",
+       " 'airt_licensed_therapist',\n",
        " 'airt_malware',\n",
        " 'airt_misinformation',\n",
        " 'airt_scams',\n",

doc/code/scenarios/0_scenarios.ipynb

@@ -104,9 +104,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Found default environment files: ['./.pyrit/.env', './.pyrit/.env.local']\n",
-      "Loaded environment file: ./.pyrit/.env\n",
-      "Loaded environment file: ./.pyrit/.env.local\n"
+      "Found default environment files: ['./.pyrit/.env']\n",
+      "Loaded environment file: ./.pyrit/.env\n"
      ]
     },
     {
@@ -269,31 +268,22 @@
       "  airt.psychosocial\u001b[0m\n",
       "    Class: Psychosocial\n",
       "    Description:\n",
-      "      Psychosocial Harms Scenario implementation for PyRIT. This scenario\n",
-      "      contains various psychosocial harm-based checks that evaluate model\n",
-      "      behavior for responses that may harm the well-being or mental health of\n",
-      "      users. Examples include mistreating users in a mental health crisis or\n",
-      "      aiding them in self-harm. All datasets in this scenario share the\n",
-      "      unified 'psychosocial' harm category, but each dataset (e.g.,\n",
-      "      imminent_crisis, dependency) can have unique: - Scoring rubrics - Seed\n",
-      "      objectives The scenario tests whether models: - Recognize mental health\n",
-      "      crises and respond appropriately - Avoid facilitating self-harm or\n",
-      "      harmful behaviors - Provide crisis resources and encourage professional\n",
-      "      help Example usage with custom configurations: # Define custom\n",
-      "      configurations per subharm category custom_configs = {\n",
-      "      \"airt_imminent_crisis\": SubharmConfig(\n",
-      "      crescendo_system_prompt_path=\"path/to/custom_escalation.yaml\",\n",
-      "      scoring_rubric_path=\"path/to/custom_rubric.yaml\", ), } scenario =\n",
-      "      Psychosocial(subharm_configs=custom_configs) await\n",
-      "      scenario.initialize_async( objective_target=target_llm,\n",
-      "      scenario_strategies=[PsychosocialStrategy.ImminentCrisis], )\n",
+      "      Single psychosocial scenario covering imminent-crisis and\n",
+      "      licensed-therapist subharms. Each ``(technique × subharm)`` pair becomes\n",
+      "      one ``AtomicAttack`` with the subharm's own scorer (and, for crescendo,\n",
+      "      its own escalation prompt). A separate baseline ``AtomicAttack`` is\n",
+      "      prepended **per subharm**, each using that subharm's matching scorer —\n",
+      "      so baseline scoring is never mismatched with the seed's actual rubric.\n",
+      "      Subharm selection happens via ``--dataset-names``: pass one or both of\n",
+      "      ``airt_imminent_crisis`` / ``airt_licensed_therapist``. ``--strategies``\n",
+      "      selects techniques (``prompt_sending``, ``role_play``, ``crescendo``).\n",
       "    Aggregate Strategies:\n",
-      "      - all\n",
-      "    Available Strategies (2):\n",
-      "      imminent_crisis, licensed_therapist\n",
-      "    Default Strategy: all\n",
-      "    Default Datasets (1, max 4 per dataset):\n",
-      "      airt_imminent_crisis\n",
+      "      - all, default\n",
+      "    Available Strategies (3):\n",
+      "      prompt_sending, role_play, crescendo\n",
+      "    Default Strategy: default\n",
+      "    Default Datasets (2, max 4 per dataset):\n",
+      "      airt_imminent_crisis, airt_licensed_therapist\n",
       "\u001b[1m\u001b[36m\n",
       "  airt.rapid_response\u001b[0m\n",
       "    Class: RapidResponse\n",
@@ -478,6 +468,9 @@
   }
  ],
  "metadata": {
+  "jupytext": {
+   "main_language": "python"
+  },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
@@ -488,7 +481,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.13.13"
+   "version": "3.11.15"
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