Add files using upload-large-folder tool

Query/sql/v2/runs/v2_cli_20260502_081223_e/c6/artifacts/v2q_c6_0c4ef6e23ead6c28/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": "2026-05-19T16:08:09.152352+00:00",
+  "ended_at": "2026-05-19T16:08:12.323410+00:00",
+  "elapsed_ms": 3171.03,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 7469,
+    "bytes_utf8": 7469,
+    "lines": 195,
+    "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_e/c6/artifacts/v2q_c6_0c4ef6e23ead6c28/cli/sql_attempt_2.metadata.json

@@ -0,0 +1,43 @@
+{
+  "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": "2026-05-19T16:08:13.326799+00:00",
+  "ended_at": "2026-05-19T16:08:16.607523+00:00",
+  "elapsed_ms": 3280.67,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 7469,
+    "bytes_utf8": 7469,
+    "lines": 195,
+    "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_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_e/c6/artifacts/v2q_c6_0c4ef6e23ead6c28/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,195 @@
+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: c6
+- dataset_name: Dataset For Assessing Mathematics Learning In Higher Education
+- table_name: c6
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 7 feature columns and target `Type of Answer`.
+- task_type: classification
+- target_column: Type of Answer
+- main_row_count: 9546
+- important_fields:
+- Student ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Student ID.
+- Student Country: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Student Country.
+- Question ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Question ID.
+- Type of Answer: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Type of Answer.
+- Question Level: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Question Level.
+- Topic: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Topic.
+- Subtopic: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Subtopic.
+- Keywords: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for Keywords.
+- useful_field_combinations: [['Student Country', 'Type of Answer', 'Type of Answer'], ['Student Country', 'Student Country', 'Type of Answer'], ['Student Country', 'Question Level', 'Type of Answer']]
+- fields_requiring_caution: ['Type of Answer', 'Keywords']
+- source_url: https://archive.ics.uci.edu/dataset/1031/dataset+for+assessing+mathematics+learning+in+higher+education
+
+SQLite schema snapshot:
+{
+  "table_name": "c6",
+  "quoted_table_name": "\"c6\"",
+  "row_count": 9546,
+  "columns": [
+    {
+      "name": "Student ID",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Student Country",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Question ID",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Type of Answer",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Question Level",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Topic",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Subtopic",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Keywords",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "Student ID": "647",
+      "Student Country": "Ireland",
+      "Question ID": "77",
+      "Type of Answer": "0",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "41",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "340",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "641",
+      "Student Country": "Italy",
+      "Question ID": "77",
+      "Type of Answer": "0",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "669",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_group_ratio_two_conditions",
+    "template_name": "Grouped Ratio of Two Conditions",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "WITH grouped AS (\n    SELECT {group_col},\n           SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT {group_col},\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;",
+    "required_roles": [
+      "group_col",
+      "condition_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c6",
+  "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=Question Level, condition_col=Student Country.",
+  "planned_template_id": "tpl_m4_group_ratio_two_conditions",
+  "bindings": {
+    "group_col": "Question Level",
+    "condition_col": "Student Country",
+    "condition_value": "Portugal",
+    "positive_value": "Portugal",
+    "negative_value": "Lithuania",
+    "top_k": 12,
+    "top_n": 5,
+    "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": 1219.0,
+    "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": "WITH grouped AS (\n    SELECT {group_col},\n           SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT {group_col},\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c6/artifacts/v2q_c6_0c4ef6e23ead6c28/cli/sql_prompt_attempt_2.txt

@@ -0,0 +1,195 @@
+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: c6
+- dataset_name: Dataset For Assessing Mathematics Learning In Higher Education
+- table_name: c6
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 7 feature columns and target `Type of Answer`.
+- task_type: classification
+- target_column: Type of Answer
+- main_row_count: 9546
+- important_fields:
+- Student ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Student ID.
+- Student Country: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Student Country.
+- Question ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Question ID.
+- Type of Answer: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Type of Answer.
+- Question Level: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Question Level.
+- Topic: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Topic.
+- Subtopic: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Subtopic.
+- Keywords: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for Keywords.
+- useful_field_combinations: [['Student Country', 'Type of Answer', 'Type of Answer'], ['Student Country', 'Student Country', 'Type of Answer'], ['Student Country', 'Question Level', 'Type of Answer']]
+- fields_requiring_caution: ['Type of Answer', 'Keywords']
+- source_url: https://archive.ics.uci.edu/dataset/1031/dataset+for+assessing+mathematics+learning+in+higher+education
+
+SQLite schema snapshot:
+{
+  "table_name": "c6",
+  "quoted_table_name": "\"c6\"",
+  "row_count": 9546,
+  "columns": [
+    {
+      "name": "Student ID",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Student Country",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Question ID",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Type of Answer",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Question Level",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Topic",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Subtopic",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Keywords",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "Student ID": "647",
+      "Student Country": "Ireland",
+      "Question ID": "77",
+      "Type of Answer": "0",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "41",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "340",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "641",
+      "Student Country": "Italy",
+      "Question ID": "77",
+      "Type of Answer": "0",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "669",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_group_ratio_two_conditions",
+    "template_name": "Grouped Ratio of Two Conditions",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "WITH grouped AS (\n    SELECT {group_col},\n           SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT {group_col},\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;",
+    "required_roles": [
+      "group_col",
+      "condition_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c6",
+  "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=Question Level, condition_col=Student Country.",
+  "planned_template_id": "tpl_m4_group_ratio_two_conditions",
+  "bindings": {
+    "group_col": "Question Level",
+    "condition_col": "Student Country",
+    "condition_value": "Portugal",
+    "positive_value": "Portugal",
+    "negative_value": "Lithuania",
+    "top_k": 12,
+    "top_n": 5,
+    "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": 1219.0,
+    "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": "WITH grouped AS (\n    SELECT {group_col},\n           SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT {group_col},\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c6/artifacts/v2q_c6_0c4ef6e23ead6c28/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40fe-9fbb-7540-b063-1a36e78d0ef5"}
+{"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_e/c6/artifacts/v2q_c6_0c4ef6e23ead6c28/cli/sql_response_attempt_1.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40fe-9fbb-7540-b063-1a36e78d0ef5"}
+{"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_e/c6/artifacts/v2q_c6_0c4ef6e23ead6c28/cli/sql_response_attempt_2.raw.txt

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+{"type":"thread.started","thread_id":"019e40fe-b015-7ba2-9e99-018c7b4bf5a5"}
+{"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_e/c6/artifacts/v2q_c6_0c4ef6e23ead6c28/cli/sql_response_attempt_2.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40fe-b015-7ba2-9e99-018c7b4bf5a5"}
+{"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_e/c6/artifacts/v2q_c6_2745294cbd314f00/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": "2026-05-19T16:21:55.222786+00:00",
+  "ended_at": "2026-05-19T16:22:07.179634+00:00",
+  "elapsed_ms": 11956.82,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 6698,
+    "bytes_utf8": 6698,
+    "lines": 192,
+    "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_e/c6/artifacts/v2q_c6_2745294cbd314f00/cli/sql_attempt_2.metadata.json

@@ -0,0 +1,43 @@
+{
+  "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": "2026-05-19T16:22:08.181519+00:00",
+  "ended_at": "2026-05-19T16:22:11.170142+00:00",
+  "elapsed_ms": 2988.58,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 6698,
+    "bytes_utf8": 6698,
+    "lines": 192,
+    "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_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_e/c6/artifacts/v2q_c6_2745294cbd314f00/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,192 @@
+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: c6
+- dataset_name: Dataset For Assessing Mathematics Learning In Higher Education
+- table_name: c6
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 7 feature columns and target `Type of Answer`.
+- task_type: classification
+- target_column: Type of Answer
+- main_row_count: 9546
+- important_fields:
+- Student ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Student ID.
+- Student Country: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Student Country.
+- Question ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Question ID.
+- Type of Answer: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Type of Answer.
+- Question Level: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Question Level.
+- Topic: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Topic.
+- Subtopic: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Subtopic.
+- Keywords: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for Keywords.
+- useful_field_combinations: [['Student Country', 'Type of Answer', 'Type of Answer'], ['Student Country', 'Student Country', 'Type of Answer'], ['Student Country', 'Question Level', 'Type of Answer']]
+- fields_requiring_caution: ['Type of Answer', 'Keywords']
+- source_url: https://archive.ics.uci.edu/dataset/1031/dataset+for+assessing+mathematics+learning+in+higher+education
+
+SQLite schema snapshot:
+{
+  "table_name": "c6",
+  "quoted_table_name": "\"c6\"",
+  "row_count": 9546,
+  "columns": [
+    {
+      "name": "Student ID",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Student Country",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Question ID",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Type of Answer",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Question Level",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Topic",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Subtopic",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Keywords",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "Student ID": "647",
+      "Student Country": "Ireland",
+      "Question ID": "77",
+      "Type of Answer": "0",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "41",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "340",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "641",
+      "Student Country": "Italy",
+      "Question ID": "77",
+      "Type of Answer": "0",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "669",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_window_partition_avg",
+    "template_name": "Window Partition Average",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c6",
+  "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=Topic, measure_col=Student ID.",
+  "planned_template_id": "tpl_m4_window_partition_avg",
+  "bindings": {
+    "group_col": "Topic",
+    "measure_col": "Student ID",
+    "top_k": 18,
+    "top_n": 6,
+    "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": 1077.0,
+    "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 DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c6/artifacts/v2q_c6_2745294cbd314f00/cli/sql_prompt_attempt_2.txt

@@ -0,0 +1,192 @@
+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: c6
+- dataset_name: Dataset For Assessing Mathematics Learning In Higher Education
+- table_name: c6
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 7 feature columns and target `Type of Answer`.
+- task_type: classification
+- target_column: Type of Answer
+- main_row_count: 9546
+- important_fields:
+- Student ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Student ID.
+- Student Country: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Student Country.
+- Question ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Question ID.
+- Type of Answer: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Type of Answer.
+- Question Level: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Question Level.
+- Topic: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Topic.
+- Subtopic: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Subtopic.
+- Keywords: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for Keywords.
+- useful_field_combinations: [['Student Country', 'Type of Answer', 'Type of Answer'], ['Student Country', 'Student Country', 'Type of Answer'], ['Student Country', 'Question Level', 'Type of Answer']]
+- fields_requiring_caution: ['Type of Answer', 'Keywords']
+- source_url: https://archive.ics.uci.edu/dataset/1031/dataset+for+assessing+mathematics+learning+in+higher+education
+
+SQLite schema snapshot:
+{
+  "table_name": "c6",
+  "quoted_table_name": "\"c6\"",
+  "row_count": 9546,
+  "columns": [
+    {
+      "name": "Student ID",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Student Country",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Question ID",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Type of Answer",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Question Level",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Topic",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Subtopic",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Keywords",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "Student ID": "647",
+      "Student Country": "Ireland",
+      "Question ID": "77",
+      "Type of Answer": "0",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "41",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "340",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "641",
+      "Student Country": "Italy",
+      "Question ID": "77",
+      "Type of Answer": "0",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "669",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_window_partition_avg",
+    "template_name": "Window Partition Average",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c6",
+  "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=Topic, measure_col=Student ID.",
+  "planned_template_id": "tpl_m4_window_partition_avg",
+  "bindings": {
+    "group_col": "Topic",
+    "measure_col": "Student ID",
+    "top_k": 18,
+    "top_n": 6,
+    "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": 1077.0,
+    "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 DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c6/artifacts/v2q_c6_2745294cbd314f00/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e410b-3a9b-75a1-bc01-cafe328a3f51"}
+{"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_e/c6/artifacts/v2q_c6_2745294cbd314f00/cli/sql_response_attempt_1.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e410b-3a9b-75a1-bc01-cafe328a3f51"}
+{"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_e/c6/artifacts/v2q_c6_2745294cbd314f00/cli/sql_response_attempt_2.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e410b-6d4f-7c90-a360-7f40f41a3c42"}
+{"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_e/c6/artifacts/v2q_c6_2745294cbd314f00/cli/sql_response_attempt_2.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e410b-6d4f-7c90-a360-7f40f41a3c42"}
+{"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_e/c6/artifacts/v2q_c6_46b64f83c050290a/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": "2026-05-19T16:17:14.527500+00:00",
+  "ended_at": "2026-05-19T16:17:17.477318+00:00",
+  "elapsed_ms": 2949.78,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 6618,
+    "bytes_utf8": 6618,
+    "lines": 190,
+    "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_e/c6/artifacts/v2q_c6_46b64f83c050290a/cli/sql_attempt_2.metadata.json

@@ -0,0 +1,43 @@
+{
+  "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": "2026-05-19T16:17:18.479440+00:00",
+  "ended_at": "2026-05-19T16:17:22.213189+00:00",
+  "elapsed_ms": 3733.69,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 6618,
+    "bytes_utf8": 6618,
+    "lines": 190,
+    "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_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_e/c6/artifacts/v2q_c6_46b64f83c050290a/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,190 @@
+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: c6
+- dataset_name: Dataset For Assessing Mathematics Learning In Higher Education
+- table_name: c6
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 7 feature columns and target `Type of Answer`.
+- task_type: classification
+- target_column: Type of Answer
+- main_row_count: 9546
+- important_fields:
+- Student ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Student ID.
+- Student Country: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Student Country.
+- Question ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Question ID.
+- Type of Answer: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Type of Answer.
+- Question Level: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Question Level.
+- Topic: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Topic.
+- Subtopic: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Subtopic.
+- Keywords: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for Keywords.
+- useful_field_combinations: [['Student Country', 'Type of Answer', 'Type of Answer'], ['Student Country', 'Student Country', 'Type of Answer'], ['Student Country', 'Question Level', 'Type of Answer']]
+- fields_requiring_caution: ['Type of Answer', 'Keywords']
+- source_url: https://archive.ics.uci.edu/dataset/1031/dataset+for+assessing+mathematics+learning+in+higher+education
+
+SQLite schema snapshot:
+{
+  "table_name": "c6",
+  "quoted_table_name": "\"c6\"",
+  "row_count": 9546,
+  "columns": [
+    {
+      "name": "Student ID",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Student Country",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Question ID",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Type of Answer",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Question Level",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Topic",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Subtopic",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Keywords",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "Student ID": "647",
+      "Student Country": "Ireland",
+      "Question ID": "77",
+      "Type of Answer": "0",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "41",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "340",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "641",
+      "Student Country": "Italy",
+      "Question ID": "77",
+      "Type of Answer": "0",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "669",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tail_low_support_group_count_v2",
+    "template_name": "Low-Support Group Count",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};",
+    "required_roles": [
+      "group_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c6",
+  "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=Student Country.",
+  "planned_template_id": "tpl_tail_low_support_group_count_v2",
+  "bindings": {
+    "group_col": "Student Country",
+    "top_k": 10,
+    "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": 1219.0,
+    "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\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c6/artifacts/v2q_c6_46b64f83c050290a/cli/sql_prompt_attempt_2.txt

@@ -0,0 +1,190 @@
+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: c6
+- dataset_name: Dataset For Assessing Mathematics Learning In Higher Education
+- table_name: c6
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 7 feature columns and target `Type of Answer`.
+- task_type: classification
+- target_column: Type of Answer
+- main_row_count: 9546
+- important_fields:
+- Student ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Student ID.
+- Student Country: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Student Country.
+- Question ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Question ID.
+- Type of Answer: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Type of Answer.
+- Question Level: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Question Level.
+- Topic: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Topic.
+- Subtopic: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Subtopic.
+- Keywords: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for Keywords.
+- useful_field_combinations: [['Student Country', 'Type of Answer', 'Type of Answer'], ['Student Country', 'Student Country', 'Type of Answer'], ['Student Country', 'Question Level', 'Type of Answer']]
+- fields_requiring_caution: ['Type of Answer', 'Keywords']
+- source_url: https://archive.ics.uci.edu/dataset/1031/dataset+for+assessing+mathematics+learning+in+higher+education
+
+SQLite schema snapshot:
+{
+  "table_name": "c6",
+  "quoted_table_name": "\"c6\"",
+  "row_count": 9546,
+  "columns": [
+    {
+      "name": "Student ID",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Student Country",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Question ID",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Type of Answer",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Question Level",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Topic",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Subtopic",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Keywords",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "Student ID": "647",
+      "Student Country": "Ireland",
+      "Question ID": "77",
+      "Type of Answer": "0",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "41",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "340",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "641",
+      "Student Country": "Italy",
+      "Question ID": "77",
+      "Type of Answer": "0",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "669",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tail_low_support_group_count_v2",
+    "template_name": "Low-Support Group Count",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};",
+    "required_roles": [
+      "group_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c6",
+  "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=Student Country.",
+  "planned_template_id": "tpl_tail_low_support_group_count_v2",
+  "bindings": {
+    "group_col": "Student Country",
+    "top_k": 10,
+    "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": 1219.0,
+    "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\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c6/artifacts/v2q_c6_46b64f83c050290a/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4106-f2a7-7e33-bbf7-cdc4cbd74ba6"}
+{"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_e/c6/artifacts/v2q_c6_46b64f83c050290a/cli/sql_response_attempt_1.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4106-f2a7-7e33-bbf7-cdc4cbd74ba6"}
+{"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_e/c6/artifacts/v2q_c6_46b64f83c050290a/cli/sql_response_attempt_2.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4107-021f-7280-880f-3d695b4ed0a7"}
+{"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_e/c6/artifacts/v2q_c6_46b64f83c050290a/cli/sql_response_attempt_2.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4107-021f-7280-880f-3d695b4ed0a7"}
+{"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_e/c6/artifacts/v2q_c6_5b8eeb341d6c2a60/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": "2026-05-19T16:15:30.935770+00:00",
+  "ended_at": "2026-05-19T16:15:35.092355+00:00",
+  "elapsed_ms": 4156.56,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 6899,
+    "bytes_utf8": 6899,
+    "lines": 195,
+    "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_e/c6/artifacts/v2q_c6_5b8eeb341d6c2a60/cli/sql_attempt_2.metadata.json

@@ -0,0 +1,43 @@
+{
+  "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": "2026-05-19T16:15:36.094443+00:00",
+  "ended_at": "2026-05-19T16:15:39.363472+00:00",
+  "elapsed_ms": 3268.98,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 6899,
+    "bytes_utf8": 6899,
+    "lines": 195,
+    "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_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_e/c6/artifacts/v2q_c6_5b8eeb341d6c2a60/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,195 @@
+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: c6
+- dataset_name: Dataset For Assessing Mathematics Learning In Higher Education
+- table_name: c6
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 7 feature columns and target `Type of Answer`.
+- task_type: classification
+- target_column: Type of Answer
+- main_row_count: 9546
+- important_fields:
+- Student ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Student ID.
+- Student Country: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Student Country.
+- Question ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Question ID.
+- Type of Answer: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Type of Answer.
+- Question Level: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Question Level.
+- Topic: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Topic.
+- Subtopic: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Subtopic.
+- Keywords: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for Keywords.
+- useful_field_combinations: [['Student Country', 'Type of Answer', 'Type of Answer'], ['Student Country', 'Student Country', 'Type of Answer'], ['Student Country', 'Question Level', 'Type of Answer']]
+- fields_requiring_caution: ['Type of Answer', 'Keywords']
+- source_url: https://archive.ics.uci.edu/dataset/1031/dataset+for+assessing+mathematics+learning+in+higher+education
+
+SQLite schema snapshot:
+{
+  "table_name": "c6",
+  "quoted_table_name": "\"c6\"",
+  "row_count": 9546,
+  "columns": [
+    {
+      "name": "Student ID",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Student Country",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Question ID",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Type of Answer",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Question Level",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Topic",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Subtopic",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Keywords",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "Student ID": "647",
+      "Student Country": "Ireland",
+      "Question ID": "77",
+      "Type of Answer": "0",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "41",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "340",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "641",
+      "Student Country": "Italy",
+      "Question ID": "77",
+      "Type of Answer": "0",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "669",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    }
+  ]
+}
+
+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": "c6",
+  "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=Type of Answer, condition_col=Question Level.",
+  "planned_template_id": "tpl_m4_group_condition_rate",
+  "bindings": {
+    "group_col": "Type of Answer",
+    "condition_col": "Question Level",
+    "condition_value": "Advanced",
+    "positive_value": "Basic",
+    "negative_value": "Advanced",
+    "top_k": 16,
+    "top_n": 5,
+    "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": 571.0,
+    "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_e/c6/artifacts/v2q_c6_5b8eeb341d6c2a60/cli/sql_prompt_attempt_2.txt

@@ -0,0 +1,195 @@
+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: c6
+- dataset_name: Dataset For Assessing Mathematics Learning In Higher Education
+- table_name: c6
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 7 feature columns and target `Type of Answer`.
+- task_type: classification
+- target_column: Type of Answer
+- main_row_count: 9546
+- important_fields:
+- Student ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Student ID.
+- Student Country: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Student Country.
+- Question ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Question ID.
+- Type of Answer: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Type of Answer.
+- Question Level: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Question Level.
+- Topic: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Topic.
+- Subtopic: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Subtopic.
+- Keywords: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for Keywords.
+- useful_field_combinations: [['Student Country', 'Type of Answer', 'Type of Answer'], ['Student Country', 'Student Country', 'Type of Answer'], ['Student Country', 'Question Level', 'Type of Answer']]
+- fields_requiring_caution: ['Type of Answer', 'Keywords']
+- source_url: https://archive.ics.uci.edu/dataset/1031/dataset+for+assessing+mathematics+learning+in+higher+education
+
+SQLite schema snapshot:
+{
+  "table_name": "c6",
+  "quoted_table_name": "\"c6\"",
+  "row_count": 9546,
+  "columns": [
+    {
+      "name": "Student ID",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Student Country",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Question ID",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Type of Answer",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Question Level",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Topic",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Subtopic",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Keywords",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "Student ID": "647",
+      "Student Country": "Ireland",
+      "Question ID": "77",
+      "Type of Answer": "0",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "41",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "340",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "641",
+      "Student Country": "Italy",
+      "Question ID": "77",
+      "Type of Answer": "0",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "669",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    }
+  ]
+}
+
+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": "c6",
+  "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=Type of Answer, condition_col=Question Level.",
+  "planned_template_id": "tpl_m4_group_condition_rate",
+  "bindings": {
+    "group_col": "Type of Answer",
+    "condition_col": "Question Level",
+    "condition_value": "Advanced",
+    "positive_value": "Basic",
+    "negative_value": "Advanced",
+    "top_k": 16,
+    "top_n": 5,
+    "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": 571.0,
+    "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_e/c6/artifacts/v2q_c6_5b8eeb341d6c2a60/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4105-5d9f-7432-8442-6919da0bc117"}
+{"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_e/c6/artifacts/v2q_c6_5b8eeb341d6c2a60/cli/sql_response_attempt_1.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4105-5d9f-7432-8442-6919da0bc117"}
+{"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_e/c6/artifacts/v2q_c6_5b8eeb341d6c2a60/cli/sql_response_attempt_2.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4105-71c0-7f10-8288-02b88d1d03b3"}
+{"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_e/c6/artifacts/v2q_c6_5b8eeb341d6c2a60/cli/sql_response_attempt_2.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4105-71c0-7f10-8288-02b88d1d03b3"}
+{"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_e/c6/artifacts/v2q_c6_5b91d602cc32cfb2/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4109-f420-7c41-aa35-7db008fc5ec4"}
+{"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_e/c6/artifacts/v2q_c6_64d9908392570caf/cli/sql_attempt_2.metadata.json

@@ -0,0 +1,43 @@
+{
+  "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": "2026-05-19T16:12:49.562613+00:00",
+  "ended_at": "2026-05-19T16:12:52.643121+00:00",
+  "elapsed_ms": 3080.47,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 6810,
+    "bytes_utf8": 6810,
+    "lines": 192,
+    "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_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_e/c6/artifacts/v2q_c6_64d9908392570caf/cli/sql_response_attempt_1.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4102-d78c-7370-b129-a492980ed92c"}
+{"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_e/c6/artifacts/v2q_c6_64d9908392570caf/cli/sql_response_attempt_2.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4102-e715-7f43-ae7e-365aaf4ea496"}
+{"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_e/c6/artifacts/v2q_c6_95fb060f27c4fc27/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": "2026-05-19T16:01:26.968804+00:00",
+  "ended_at": "2026-05-19T16:01:30.526165+00:00",
+  "elapsed_ms": 3557.33,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 6619,
+    "bytes_utf8": 6619,
+    "lines": 192,
+    "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_e/c6/artifacts/v2q_c6_95fb060f27c4fc27/cli/sql_attempt_2.metadata.json

@@ -0,0 +1,43 @@
+{
+  "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": "2026-05-19T16:01:31.528292+00:00",
+  "ended_at": "2026-05-19T16:01:34.752787+00:00",
+  "elapsed_ms": 3224.44,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 6619,
+    "bytes_utf8": 6619,
+    "lines": 192,
+    "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_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_e/c6/artifacts/v2q_c6_95fb060f27c4fc27/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,192 @@
+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: c6
+- dataset_name: Dataset For Assessing Mathematics Learning In Higher Education
+- table_name: c6
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 7 feature columns and target `Type of Answer`.
+- task_type: classification
+- target_column: Type of Answer
+- main_row_count: 9546
+- important_fields:
+- Student ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Student ID.
+- Student Country: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Student Country.
+- Question ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Question ID.
+- Type of Answer: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Type of Answer.
+- Question Level: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Question Level.
+- Topic: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Topic.
+- Subtopic: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Subtopic.
+- Keywords: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for Keywords.
+- useful_field_combinations: [['Student Country', 'Type of Answer', 'Type of Answer'], ['Student Country', 'Student Country', 'Type of Answer'], ['Student Country', 'Question Level', 'Type of Answer']]
+- fields_requiring_caution: ['Type of Answer', 'Keywords']
+- source_url: https://archive.ics.uci.edu/dataset/1031/dataset+for+assessing+mathematics+learning+in+higher+education
+
+SQLite schema snapshot:
+{
+  "table_name": "c6",
+  "quoted_table_name": "\"c6\"",
+  "row_count": 9546,
+  "columns": [
+    {
+      "name": "Student ID",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Student Country",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Question ID",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Type of Answer",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Question Level",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Topic",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Subtopic",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Keywords",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "Student ID": "647",
+      "Student Country": "Ireland",
+      "Question ID": "77",
+      "Type of Answer": "0",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "41",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "340",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "641",
+      "Student Country": "Italy",
+      "Question ID": "77",
+      "Type of Answer": "0",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "669",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_h2o_group_sum",
+    "template_name": "Grouped Numeric Sum",
+    "primary_family": "subgroup_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c6",
+  "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=Subtopic, measure_col=Student ID.",
+  "planned_template_id": "tpl_h2o_group_sum",
+  "bindings": {
+    "group_col": "Subtopic",
+    "measure_col": "Student ID",
+    "top_k": 14,
+    "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": 1219.0,
+    "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}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c6/artifacts/v2q_c6_95fb060f27c4fc27/cli/sql_prompt_attempt_2.txt

@@ -0,0 +1,192 @@
+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: c6
+- dataset_name: Dataset For Assessing Mathematics Learning In Higher Education
+- table_name: c6
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 7 feature columns and target `Type of Answer`.
+- task_type: classification
+- target_column: Type of Answer
+- main_row_count: 9546
+- important_fields:
+- Student ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Student ID.
+- Student Country: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Student Country.
+- Question ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Question ID.
+- Type of Answer: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Type of Answer.
+- Question Level: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Question Level.
+- Topic: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Topic.
+- Subtopic: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Subtopic.
+- Keywords: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for Keywords.
+- useful_field_combinations: [['Student Country', 'Type of Answer', 'Type of Answer'], ['Student Country', 'Student Country', 'Type of Answer'], ['Student Country', 'Question Level', 'Type of Answer']]
+- fields_requiring_caution: ['Type of Answer', 'Keywords']
+- source_url: https://archive.ics.uci.edu/dataset/1031/dataset+for+assessing+mathematics+learning+in+higher+education
+
+SQLite schema snapshot:
+{
+  "table_name": "c6",
+  "quoted_table_name": "\"c6\"",
+  "row_count": 9546,
+  "columns": [
+    {
+      "name": "Student ID",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Student Country",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Question ID",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Type of Answer",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Question Level",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Topic",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Subtopic",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Keywords",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "Student ID": "647",
+      "Student Country": "Ireland",
+      "Question ID": "77",
+      "Type of Answer": "0",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "41",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "340",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "641",
+      "Student Country": "Italy",
+      "Question ID": "77",
+      "Type of Answer": "0",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "669",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_h2o_group_sum",
+    "template_name": "Grouped Numeric Sum",
+    "primary_family": "subgroup_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c6",
+  "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=Subtopic, measure_col=Student ID.",
+  "planned_template_id": "tpl_h2o_group_sum",
+  "bindings": {
+    "group_col": "Subtopic",
+    "measure_col": "Student ID",
+    "top_k": 14,
+    "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": 1219.0,
+    "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}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;"
+}
+
+Repair context:
+{}