Add files using upload-large-folder tool

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_04223e355625648d/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 6584, "bytes_utf8": 6584, "lines": 205, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 455, "bytes_utf8": 455, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13984, "cached_input_tokens": 12032, "output_tokens": 370, "reasoning_output_tokens": 233}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_04223e355625648d/cli/session_summary.json

@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "c7",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c7_04223e355625648d",
+    "api_calls": 0,
+    "input_tokens": 13984,
+    "cached_input_tokens": 12032,
+    "output_tokens": 370,
+    "total_tokens": 14354,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 10526.44,
+    "sql_execution_elapsed_ms_total": 5.93,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_04223e355625648d/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_04223e355625648d/cli/sql_attempt_1.metadata.json

@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:46:29.591187+00:00",
+  "ended_at": "2026-05-19T15:46:40.117674+00:00",
+  "elapsed_ms": 10526.44,
+  "prompt_metrics": {
+    "chars": 6584,
+    "bytes_utf8": 6584,
+    "lines": 205,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 814,
+    "bytes_utf8": 814,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 455,
+      "bytes_utf8": 455,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13984,
+      "cached_input_tokens": 12032,
+      "output_tokens": 370,
+      "reasoning_output_tokens": 233
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_04223e355625648d/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,205 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: c7
+- dataset_name: C7
+- table_name: c7
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 8 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 12960
+- important_fields:
+- parents: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for parents.
+- has_nurs: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for has nurs.
+- form: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for form.
+- children: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for children.
+- housing: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing.
+- finance: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for finance.
+- social: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for social.
+- health: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for health.
+- class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['parents', 'has_nurs', 'class'], ['parents', 'parents', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://www.openml.org/d/26
+
+SQLite schema snapshot:
+{
+  "table_name": "c7",
+  "quoted_table_name": "\"c7\"",
+  "row_count": 12960,
+  "columns": [
+    {
+      "name": "parents",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "has_nurs",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "form",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "children",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "housing",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "finance",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "social",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "health",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "parents": "usual",
+      "has_nurs": "proper",
+      "form": "complete",
+      "children": "1",
+      "housing": "convenient",
+      "finance": "convenient",
+      "social": "nonprob",
+      "health": "recommended",
+      "class": "recommend"
+    },
+    {
+      "parents": "usual",
+      "has_nurs": "proper",
+      "form": "complete",
+      "children": "1",
+      "housing": "convenient",
+      "finance": "convenient",
+      "social": "nonprob",
+      "health": "priority",
+      "class": "priority"
+    },
+    {
+      "parents": "usual",
+      "has_nurs": "proper",
+      "form": "complete",
+      "children": "1",
+      "housing": "convenient",
+      "finance": "convenient",
+      "social": "nonprob",
+      "health": "not_recom",
+      "class": "not_recom"
+    },
+    {
+      "parents": "usual",
+      "has_nurs": "proper",
+      "form": "complete",
+      "children": "1",
+      "housing": "convenient",
+      "finance": "convenient",
+      "social": "slightly_prob",
+      "health": "recommended",
+      "class": "recommend"
+    },
+    {
+      "parents": "usual",
+      "has_nurs": "proper",
+      "form": "complete",
+      "children": "1",
+      "housing": "convenient",
+      "finance": "convenient",
+      "social": "slightly_prob",
+      "health": "priority",
+      "class": "priority"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tail_target_rate_extremes_v2",
+    "template_name": "Tail Target-Rate Extremes",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support,\n    AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS focus_rate\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY focus_rate DESC, support ASC\nLIMIT {top_k};",
+    "required_roles": [
+      "group_col",
+      "target_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c7",
+  "question": "Use template Tail Target-Rate Extremes to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=form, target_col=class.",
+  "planned_template_id": "tpl_tail_target_rate_extremes_v2",
+  "bindings": {
+    "group_col": "form",
+    "target_col": "class",
+    "target_value": "spec_prior",
+    "top_k": 17,
+    "top_n": 4,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.05,
+    "baseline_multiplier": 1.75,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 4,
+    "measure_threshold": 0.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support,\n    AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS focus_rate\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY focus_rate DESC, support ASC\nLIMIT {top_k};"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_04223e355625648d/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40ea-cb63-74d0-bd07-3e0a37c0a274"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tail_target_rate_extremes_v2\\nSELECT\\n    \\\"form\\\",\\n    COUNT(*) AS support,\\n    AVG(CASE WHEN \\\"class\\\" = 'spec_prior' THEN 1 ELSE 0 END) AS focus_rate\\nFROM \\\"c7\\\"\\nGROUP BY \\\"form\\\"\\nHAVING COUNT(*) >= 4\\nORDER BY focus_rate DESC, support ASC\\nLIMIT 17;\",\"notes\":\"Uses the requested Tail Target-Rate Extremes template with group_col=\\\"form\\\", target_col=\\\"class\\\", target_value='spec_prior', min_support=4, and top_k=17.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13984,"cached_input_tokens":12032,"output_tokens":370,"reasoning_output_tokens":233}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_04223e355625648d/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tail_target_rate_extremes_v2\nSELECT\n    \"form\",\n    COUNT(*) AS support,\n    AVG(CASE WHEN \"class\" = 'spec_prior' THEN 1 ELSE 0 END) AS focus_rate\nFROM \"c7\"\nGROUP BY \"form\"\nHAVING COUNT(*) >= 4\nORDER BY focus_rate DESC, support ASC\nLIMIT 17;","notes":"Uses the requested Tail Target-Rate Extremes template with group_col=\"form\", target_col=\"class\", target_value='spec_prior', min_support=4, and top_k=17."}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_2251b037d8d0a23f/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 6589, "bytes_utf8": 6589, "lines": 205, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 468, "bytes_utf8": 468, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13986, "cached_input_tokens": 12672, "output_tokens": 569, "reasoning_output_tokens": 424}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_59a6b1c3d483a564/cli/conversation.jsonl

@@ -0,0 +1,4 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 6569, "bytes_utf8": 6569, "lines": 208, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "}
+{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 6569, "bytes_utf8": 6569, "lines": 208, "estimated_tokens": null}}
+{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 537, "bytes_utf8": 537, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13947, "cached_input_tokens": 12672, "output_tokens": 428, "reasoning_output_tokens": 294}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_59a6b1c3d483a564/cli/session_summary.json

@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 2,
+  "usage_summary": {
+    "dataset_id": "c7",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c7_59a6b1c3d483a564",
+    "api_calls": 0,
+    "input_tokens": 13947,
+    "cached_input_tokens": 12672,
+    "output_tokens": 428,
+    "total_tokens": 14375,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 2,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 17953.73,
+    "sql_execution_elapsed_ms_total": 3.58,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_59a6b1c3d483a564/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_59a6b1c3d483a564/cli/sql_attempt_1.metadata.json

@@ -0,0 +1,43 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:56:05.418731+00:00",
+  "ended_at": "2026-05-19T15:56:08.322189+00:00",
+  "elapsed_ms": 2903.43,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 6569,
+    "bytes_utf8": 6569,
+    "lines": 208,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_59a6b1c3d483a564/cli/sql_attempt_2.metadata.json

@@ -0,0 +1,45 @@
+{
+  "attempt": 2,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:56:09.324194+00:00",
+  "ended_at": "2026-05-19T15:56:24.374538+00:00",
+  "elapsed_ms": 15050.3,
+  "prompt_metrics": {
+    "chars": 6569,
+    "bytes_utf8": 6569,
+    "lines": 208,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 897,
+    "bytes_utf8": 897,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 537,
+      "bytes_utf8": 537,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13947,
+      "cached_input_tokens": 12672,
+      "output_tokens": 428,
+      "reasoning_output_tokens": 294
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_2.txt",
+  "response_path": "cli/sql_response_attempt_2.txt",
+  "raw_response_path": "cli/sql_response_attempt_2.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_2.txt"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_59a6b1c3d483a564/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,208 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: c7
+- dataset_name: C7
+- table_name: c7
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 8 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 12960
+- important_fields:
+- parents: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for parents.
+- has_nurs: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for has nurs.
+- form: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for form.
+- children: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for children.
+- housing: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing.
+- finance: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for finance.
+- social: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for social.
+- health: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for health.
+- class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['parents', 'has_nurs', 'class'], ['parents', 'parents', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://www.openml.org/d/26
+
+SQLite schema snapshot:
+{
+  "table_name": "c7",
+  "quoted_table_name": "\"c7\"",
+  "row_count": 12960,
+  "columns": [
+    {
+      "name": "parents",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "has_nurs",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "form",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "children",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "housing",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "finance",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "social",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "health",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "parents": "usual",
+      "has_nurs": "proper",
+      "form": "complete",
+      "children": "1",
+      "housing": "convenient",
+      "finance": "convenient",
+      "social": "nonprob",
+      "health": "recommended",
+      "class": "recommend"
+    },
+    {
+      "parents": "usual",
+      "has_nurs": "proper",
+      "form": "complete",
+      "children": "1",
+      "housing": "convenient",
+      "finance": "convenient",
+      "social": "nonprob",
+      "health": "priority",
+      "class": "priority"
+    },
+    {
+      "parents": "usual",
+      "has_nurs": "proper",
+      "form": "complete",
+      "children": "1",
+      "housing": "convenient",
+      "finance": "convenient",
+      "social": "nonprob",
+      "health": "not_recom",
+      "class": "not_recom"
+    },
+    {
+      "parents": "usual",
+      "has_nurs": "proper",
+      "form": "complete",
+      "children": "1",
+      "housing": "convenient",
+      "finance": "convenient",
+      "social": "slightly_prob",
+      "health": "recommended",
+      "class": "recommend"
+    },
+    {
+      "parents": "usual",
+      "has_nurs": "proper",
+      "form": "complete",
+      "children": "1",
+      "housing": "convenient",
+      "finance": "convenient",
+      "social": "slightly_prob",
+      "health": "priority",
+      "class": "priority"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_clickbench_filtered_distinct_topk",
+    "template_name": "Filtered Top-k Distinct Coverage",
+    "primary_family": "subgroup_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, COUNT(DISTINCT {entity_col}) AS distinct_entities\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY distinct_entities DESC\nLIMIT {top_k};",
+    "required_roles": [
+      "group_col",
+      "entity_col",
+      "predicate_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c7",
+  "question": "Use template Filtered Top-k Distinct Coverage to probe internal_profile_stability with semantic role ranked_signal_view. Focus on group_col=form.",
+  "planned_template_id": "tpl_clickbench_filtered_distinct_topk",
+  "bindings": {
+    "group_col": "form",
+    "predicate_col": "form",
+    "predicate_op": "=",
+    "predicate_value": "completed",
+    "entity_col": "form",
+    "top_k": 12,
+    "top_n": 4,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 0.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, COUNT(DISTINCT {entity_col}) AS distinct_entities\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY distinct_entities DESC\nLIMIT {top_k};"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_59a6b1c3d483a564/cli/sql_prompt_attempt_2.txt

@@ -0,0 +1,208 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: c7
+- dataset_name: C7
+- table_name: c7
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 8 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 12960
+- important_fields:
+- parents: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for parents.
+- has_nurs: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for has nurs.
+- form: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for form.
+- children: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for children.
+- housing: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing.
+- finance: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for finance.
+- social: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for social.
+- health: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for health.
+- class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['parents', 'has_nurs', 'class'], ['parents', 'parents', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://www.openml.org/d/26
+
+SQLite schema snapshot:
+{
+  "table_name": "c7",
+  "quoted_table_name": "\"c7\"",
+  "row_count": 12960,
+  "columns": [
+    {
+      "name": "parents",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "has_nurs",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "form",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "children",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "housing",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "finance",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "social",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "health",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "parents": "usual",
+      "has_nurs": "proper",
+      "form": "complete",
+      "children": "1",
+      "housing": "convenient",
+      "finance": "convenient",
+      "social": "nonprob",
+      "health": "recommended",
+      "class": "recommend"
+    },
+    {
+      "parents": "usual",
+      "has_nurs": "proper",
+      "form": "complete",
+      "children": "1",
+      "housing": "convenient",
+      "finance": "convenient",
+      "social": "nonprob",
+      "health": "priority",
+      "class": "priority"
+    },
+    {
+      "parents": "usual",
+      "has_nurs": "proper",
+      "form": "complete",
+      "children": "1",
+      "housing": "convenient",
+      "finance": "convenient",
+      "social": "nonprob",
+      "health": "not_recom",
+      "class": "not_recom"
+    },
+    {
+      "parents": "usual",
+      "has_nurs": "proper",
+      "form": "complete",
+      "children": "1",
+      "housing": "convenient",
+      "finance": "convenient",
+      "social": "slightly_prob",
+      "health": "recommended",
+      "class": "recommend"
+    },
+    {
+      "parents": "usual",
+      "has_nurs": "proper",
+      "form": "complete",
+      "children": "1",
+      "housing": "convenient",
+      "finance": "convenient",
+      "social": "slightly_prob",
+      "health": "priority",
+      "class": "priority"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_clickbench_filtered_distinct_topk",
+    "template_name": "Filtered Top-k Distinct Coverage",
+    "primary_family": "subgroup_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, COUNT(DISTINCT {entity_col}) AS distinct_entities\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY distinct_entities DESC\nLIMIT {top_k};",
+    "required_roles": [
+      "group_col",
+      "entity_col",
+      "predicate_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c7",
+  "question": "Use template Filtered Top-k Distinct Coverage to probe internal_profile_stability with semantic role ranked_signal_view. Focus on group_col=form.",
+  "planned_template_id": "tpl_clickbench_filtered_distinct_topk",
+  "bindings": {
+    "group_col": "form",
+    "predicate_col": "form",
+    "predicate_op": "=",
+    "predicate_value": "completed",
+    "entity_col": "form",
+    "top_k": 12,
+    "top_n": 4,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 0.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, COUNT(DISTINCT {entity_col}) AS distinct_entities\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY distinct_entities DESC\nLIMIT {top_k};"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_59a6b1c3d483a564/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f3-94ba-79f1-9d17-ac847e6ef43b"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_59a6b1c3d483a564/cli/sql_response_attempt_1.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f3-94ba-79f1-9d17-ac847e6ef43b"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_59a6b1c3d483a564/cli/sql_response_attempt_2.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f3-a3da-7270-825c-a4cd34321d1f"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_filtered_distinct_topk\\nSELECT \\\"form\\\", COUNT(DISTINCT \\\"form\\\") AS distinct_entities\\nFROM \\\"c7\\\"\\nWHERE \\\"form\\\" = 'completed'\\nGROUP BY \\\"form\\\"\\nORDER BY distinct_entities DESC\\nLIMIT 12;\",\"notes\":\"Applied the provided template and bindings exactly. Because both group_col and entity_col are bound to \\\"form\\\", COUNT(DISTINCT \\\"form\\\") will be 1 for each returned group. Also, the bound predicate value is 'completed'; if the intended category was 'complete', this filter may return no rows.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13947,"cached_input_tokens":12672,"output_tokens":428,"reasoning_output_tokens":294}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_59a6b1c3d483a564/cli/sql_response_attempt_2.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_clickbench_filtered_distinct_topk\nSELECT \"form\", COUNT(DISTINCT \"form\") AS distinct_entities\nFROM \"c7\"\nWHERE \"form\" = 'completed'\nGROUP BY \"form\"\nORDER BY distinct_entities DESC\nLIMIT 12;","notes":"Applied the provided template and bindings exactly. Because both group_col and entity_col are bound to \"form\", COUNT(DISTINCT \"form\") will be 1 for each returned group. Also, the bound predicate value is 'completed'; if the intended category was 'complete', this filter may return no rows."}