Add files using upload-large-folder tool

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_0763e66113c6e3a4/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 6494, "bytes_utf8": 6494, "lines": 207, "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": 367, "bytes_utf8": 367, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13928, "cached_input_tokens": 12032, "output_tokens": 351, "reasoning_output_tokens": 252}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_0763e66113c6e3a4/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_0763e66113c6e3a4",
+    "api_calls": 0,
+    "input_tokens": 13928,
+    "cached_input_tokens": 12032,
+    "output_tokens": 351,
+    "total_tokens": 14279,
+    "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": 8589.38,
+    "sql_execution_elapsed_ms_total": 5.6,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_0763e66113c6e3a4/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_0763e66113c6e3a4/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": "2026-05-19T15:34:05.019410+00:00",
+  "ended_at": "2026-05-19T15:34:13.608835+00:00",
+  "elapsed_ms": 8589.38,
+  "prompt_metrics": {
+    "chars": 6494,
+    "bytes_utf8": 6494,
+    "lines": 207,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 718,
+    "bytes_utf8": 718,
+    "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": 367,
+      "bytes_utf8": 367,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13928,
+      "cached_input_tokens": 12032,
+      "output_tokens": 351,
+      "reasoning_output_tokens": 252
+    }
+  },
+  "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_0763e66113c6e3a4/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,207 @@
+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_m4_group_condition_rate",
+    "template_name": "Grouped Condition Rate",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+    "required_roles": [
+      "group_col",
+      "condition_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c7",
+  "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=form, condition_col=form.",
+  "planned_template_id": "tpl_m4_group_condition_rate",
+  "bindings": {
+    "group_col": "form",
+    "condition_col": "form",
+    "condition_value": "complete",
+    "positive_value": "complete",
+    "negative_value": "completed",
+    "top_k": 14,
+    "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},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_0763e66113c6e3a4/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40df-6ef3-78d1-acc7-8f75423fd3f8"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"form\\\",\\n       AVG(CASE WHEN \\\"form\\\" = 'complete' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"c7\\\"\\nGROUP BY \\\"form\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Applied the Grouped Condition Rate template with both group_col and condition_col bound to \\\"form\\\", using 'complete' as the condition value.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13928,"cached_input_tokens":12032,"output_tokens":351,"reasoning_output_tokens":252}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_0763e66113c6e3a4/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"form\",\n       AVG(CASE WHEN \"form\" = 'complete' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"c7\"\nGROUP BY \"form\"\nORDER BY condition_rate DESC;","notes":"Applied the Grouped Condition Rate template with both group_col and condition_col bound to \"form\", using 'complete' as the condition value."}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_72fadbcf499c5933/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 6352, "bytes_utf8": 6352, "lines": 204, "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": 334, "bytes_utf8": 334, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13915, "cached_input_tokens": 12672, "output_tokens": 245, "reasoning_output_tokens": 147}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_72fadbcf499c5933/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_clickbench_two_dimensional_topk_count\nSELECT \"has_nurs\", \"social\", COUNT(*) AS \"support\"\nFROM \"c7\"\nGROUP BY \"has_nurs\", \"social\"\nORDER BY \"support\" DESC\nLIMIT 10;","notes":"Applied the planned Two-Dimensional Top-k Count template with group_col=\"has_nurs\" and group_col_2=\"social\"."}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_e3588539ee049342/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 6442, "bytes_utf8": 6442, "lines": 206, "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": 366, "bytes_utf8": 366, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13916, "cached_input_tokens": 12672, "output_tokens": 256, "reasoning_output_tokens": 157}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_e3588539ee049342/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_e3588539ee049342",
+    "api_calls": 0,
+    "input_tokens": 13916,
+    "cached_input_tokens": 12672,
+    "output_tokens": 256,
+    "total_tokens": 14172,
+    "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": 10342.36,
+    "sql_execution_elapsed_ms_total": 3.91,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_e3588539ee049342/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_e3588539ee049342/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": "2026-05-19T15:51:55.992541+00:00",
+  "ended_at": "2026-05-19T15:52:06.334939+00:00",
+  "elapsed_ms": 10342.36,
+  "prompt_metrics": {
+    "chars": 6442,
+    "bytes_utf8": 6442,
+    "lines": 206,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 726,
+    "bytes_utf8": 726,
+    "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": 366,
+      "bytes_utf8": 366,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13916,
+      "cached_input_tokens": 12672,
+      "output_tokens": 256,
+      "reasoning_output_tokens": 157
+    }
+  },
+  "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_e3588539ee049342/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,206 @@
+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_topk_group_count",
+    "template_name": "Filtered Top-k Group Count",
+    "primary_family": "subgroup_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col}, COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY support DESC\nLIMIT {top_k};",
+    "required_roles": [
+      "group_col",
+      "predicate_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c7",
+  "question": "Use template Filtered Top-k Group Count to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=children.",
+  "planned_template_id": "tpl_clickbench_filtered_topk_group_count",
+  "bindings": {
+    "group_col": "children",
+    "predicate_col": "health",
+    "predicate_op": "=",
+    "predicate_value": "priority",
+    "top_k": 16,
+    "top_n": 7,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "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 {group_col}, COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY support DESC\nLIMIT {top_k};"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_e3588539ee049342/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40ef-c664-7823-856d-3e6f818e9de3"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_filtered_topk_group_count\\nSELECT \\\"children\\\", COUNT(*) AS support\\nFROM \\\"c7\\\"\\nWHERE \\\"health\\\" = 'priority'\\nGROUP BY \\\"children\\\"\\nORDER BY support DESC\\nLIMIT 16;\",\"notes\":\"Uses the planned Filtered Top-k Group Count template with group_col=\\\"children\\\" and predicate \\\"health\\\" = 'priority' on the single table \\\"c7\\\".\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13916,"cached_input_tokens":12672,"output_tokens":256,"reasoning_output_tokens":157}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_e3588539ee049342/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_clickbench_filtered_topk_group_count\nSELECT \"children\", COUNT(*) AS support\nFROM \"c7\"\nWHERE \"health\" = 'priority'\nGROUP BY \"children\"\nORDER BY support DESC\nLIMIT 16;","notes":"Uses the planned Filtered Top-k Group Count template with group_col=\"children\" and predicate \"health\" = 'priority' on the single table \"c7\"."}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_f04d4f3e41ed9f95/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_f04d4f3e41ed9f95",
+    "api_calls": 0,
+    "input_tokens": 13986,
+    "cached_input_tokens": 12672,
+    "output_tokens": 353,
+    "total_tokens": 14339,
+    "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": 8718.02,
+    "sql_execution_elapsed_ms_total": 5.38,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_f04d4f3e41ed9f95/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_f04d4f3e41ed9f95/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 focused_target_view. Focus on group_col=health, target_col=class.",
+  "planned_template_id": "tpl_tail_target_rate_extremes_v2",
+  "bindings": {
+    "group_col": "health",
+    "target_col": "class",
+    "target_value": "very_recom",
+    "top_k": 13,
+    "top_n": 3,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "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\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_f04d4f3e41ed9f95/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e9-2ca8-7d00-a854-94f285ac4bd9"}
+{"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    \\\"health\\\",\\n    COUNT(*) AS \\\"support\\\",\\n    AVG(CASE WHEN \\\"class\\\" = 'very_recom' THEN 1 ELSE 0 END) AS \\\"focus_rate\\\"\\nFROM \\\"c7\\\"\\nGROUP BY \\\"health\\\"\\nHAVING COUNT(*) >= 5\\nORDER BY \\\"focus_rate\\\" DESC, \\\"support\\\" ASC\\nLIMIT 13;\",\"notes\":\"Applied the planned Tail Target-Rate Extremes template with group_col=\\\"health\\\", target_col=\\\"class\\\", target_value='very_recom', min_support=5, and top_k=13.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13986,"cached_input_tokens":12672,"output_tokens":353,"reasoning_output_tokens":207}}