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Browse files- Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_286188919a0ffab1/final_answer.txt +2 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_286188919a0ffab1/generated_sql.sql +19 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_286188919a0ffab1/trace.jsonl +1 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_42902373218c1a8b/final_answer.txt +2 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_42902373218c1a8b/generated_sql.sql +18 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_42902373218c1a8b/query_results.jsonl +1 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_42902373218c1a8b/run_manifest.json +92 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_42902373218c1a8b/trace.jsonl +1 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_42902373218c1a8b/usage_summary.json +20 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_56c2fcc58f791d3d/final_answer.txt +2 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_56c2fcc58f791d3d/generated_sql.sql +18 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_56c2fcc58f791d3d/query_results.jsonl +1 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_56c2fcc58f791d3d/run_manifest.json +92 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_56c2fcc58f791d3d/usage_summary.json +20 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_724a3e89f9da569a/final_answer.txt +2 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_724a3e89f9da569a/generated_sql.sql +22 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_724a3e89f9da569a/query_results.jsonl +1 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_724a3e89f9da569a/run_manifest.json +90 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_724a3e89f9da569a/trace.jsonl +1 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_724a3e89f9da569a/usage_summary.json +20 -0
Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_286188919a0ffab1/final_answer.txt
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SQL executed successfully for: Use template Filtered Top-k Group Count to probe subgroup_size_stability with semantic role filtered_stable_view. Focus on group_col=finance.
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Result preview: [{"finance": "inconv", "support": 6480}]
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Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_286188919a0ffab1/generated_sql.sql
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-- sql_source_version: v2
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-- sql_source_label: v2_current
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-- sql_source_run_id: v2_cli_20260502_081223_b
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-- sql_source_dataset_id: c7
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-- family_id: subgroup_structure
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-- canonical_subitem_id: subgroup_size_stability
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-- intended_facet_id: subgroup_distribution_shift
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-- variant_semantic_role: filtered_stable_view
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-- template_id: tpl_clickbench_filtered_topk_group_count
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-- query_record_id: v2q_c7_286188919a0ffab1
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-- problem_id: v2p_c7_e50c463ec6d0d66d
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-- realization_mode: agent
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-- source_kind: agent
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SELECT "finance", COUNT(*) AS support
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FROM "c7"
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WHERE "finance" = 'inconv'
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GROUP BY "finance"
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ORDER BY support DESC
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LIMIT 13;
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Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_286188919a0ffab1/trace.jsonl
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{"timestamp": "2026-05-19T15:52:37.654814+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 7988.41, "started_at": "2026-05-19T15:52:29.665405+00:00", "ended_at": "2026-05-19T15:52:37.653857+00:00", "prompt_metrics": {"chars": 6438, "bytes_utf8": 6438, "lines": 206, "estimated_tokens": null}, "response_metrics": {"chars": 381, "bytes_utf8": 381, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13919, "cached_input_tokens": 12672, "output_tokens": 220, "reasoning_output_tokens": 119}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_clickbench_filtered_topk_group_count\\nSELECT \\\"finance\\\", COUNT(*) AS support\\nFROM \\\"c7\\\"\\nWHERE \\\"finance\\\" = 'inconv'\\nGROUP BY \\\"finance\\\"\\nORDER BY support DESC\\nLIMIT 13;\",\"notes\":\"Used the required template with group_col=\\\"finance\\\" and the bound filter \\\"finance\\\" = 'inconv'. Identifiers are double-quoted and the query is SQLite-compatible.\"}"}
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Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_42902373218c1a8b/final_answer.txt
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SQL executed successfully for: Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=children, condition_col=children.
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Result preview: [{"children": "1", "condition_rate": 1.0}, {"children": "more", "condition_rate": 0.0}, {"children": "3", "condition_rate": 0.0}, {"children": "2", "condition_rate": 0.0}]
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Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_42902373218c1a8b/generated_sql.sql
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-- sql_source_version: v2
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-- sql_source_label: v2_current
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-- sql_source_run_id: v2_cli_20260502_081223_b
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-- sql_source_dataset_id: c7
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-- family_id: conditional_dependency_structure
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-- canonical_subitem_id: dependency_strength_similarity
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-- intended_facet_id: pairwise_conditional_dependency
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-- variant_semantic_role: within_group_proportion
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-- template_id: tpl_m4_group_condition_rate
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-- query_record_id: v2q_c7_42902373218c1a8b
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-- problem_id: v2p_c7_601cc9da1f6bc2a0
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-- realization_mode: agent
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-- source_kind: agent
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SELECT "children",
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AVG(CASE WHEN "children" = '1' THEN 1 ELSE 0 END) AS "condition_rate"
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FROM "c7"
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GROUP BY "children"
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ORDER BY "condition_rate" DESC;
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Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_42902373218c1a8b/query_results.jsonl
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{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_condition_rate\nSELECT \"children\",\n AVG(CASE WHEN \"children\" = '1' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"c7\"\nGROUP BY \"children\"\nORDER BY \"condition_rate\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"children\\\",\\n AVG(CASE WHEN \\\"children\\\" = '1' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"c7\\\"\\nGROUP BY \\\"children\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\", \"columns\": [\"children\", \"condition_rate\"], \"rows\": [{\"children\": \"1\", \"condition_rate\": 1.0}, {\"children\": \"more\", \"condition_rate\": 0.0}, {\"children\": \"3\", \"condition_rate\": 0.0}, {\"children\": \"2\", \"condition_rate\": 0.0}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 7.64}"}
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Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_42902373218c1a8b/run_manifest.json
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{
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"run_id": "v2_cli_20260502_081223_b",
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| 3 |
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"dataset_id": "c7",
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| 4 |
+
"started_at": "2026-05-19T15:34:25.311563+00:00",
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| 5 |
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"ended_at": "2026-05-19T15:34:35.084370+00:00",
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"status": "completed",
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| 7 |
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"engine": "cli",
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| 8 |
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"question_record": {
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| 9 |
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"query_record_id": "v2q_c7_42902373218c1a8b",
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| 10 |
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"problem_id": "v2p_c7_601cc9da1f6bc2a0",
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| 11 |
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"dataset_id": "c7",
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| 12 |
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"template_id": "tpl_m4_group_condition_rate",
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"template_name": "Grouped Condition Rate",
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| 14 |
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"family_id": "conditional_dependency_structure",
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| 15 |
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"canonical_subitem_id": "dependency_strength_similarity",
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| 16 |
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"intended_facet_id": "pairwise_conditional_dependency",
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| 17 |
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"variant_semantic_role": "within_group_proportion",
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| 18 |
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"subitem_assignment_source": "planner_selected",
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| 19 |
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"source_kind": "agent",
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| 20 |
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"realization_mode": "agent",
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| 21 |
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"gate_priority": "primary",
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| 22 |
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"extended_family": false,
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| 23 |
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"question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=children, condition_col=children.",
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| 24 |
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"bindings": {
|
| 25 |
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"group_col": "children",
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| 26 |
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"condition_col": "children",
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| 27 |
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"condition_value": "1",
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| 28 |
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"positive_value": "1",
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| 29 |
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"negative_value": "2",
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| 30 |
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"top_k": 10,
|
| 31 |
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"top_n": 5,
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| 32 |
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"num_tiles": 10,
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| 33 |
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"percentile_value": 0.95,
|
| 34 |
+
"z_threshold": 2.0,
|
| 35 |
+
"fraction_threshold": 0.1,
|
| 36 |
+
"baseline_multiplier": 1.5,
|
| 37 |
+
"baseline_fraction": 0.1,
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| 38 |
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"min_group_size": 5,
|
| 39 |
+
"min_support": 5,
|
| 40 |
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"measure_threshold": 0.0,
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| 41 |
+
"time_grain": "month",
|
| 42 |
+
"lookback_rows": 3,
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| 43 |
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"current_period_start": "'2024-01-01'",
|
| 44 |
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"current_period_end": "'2024-04-01'",
|
| 45 |
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"previous_period_start": "'2023-10-01'",
|
| 46 |
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"previous_period_end": "'2024-01-01'",
|
| 47 |
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"drift_ratio_threshold": 0.8
|
| 48 |
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},
|
| 49 |
+
"binding_roles": [
|
| 50 |
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"group_col",
|
| 51 |
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"condition_col"
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| 52 |
+
],
|
| 53 |
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"coverage_target_min": "5",
|
| 54 |
+
"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;",
|
| 55 |
+
"notes": [
|
| 56 |
+
"default_facets=pairwise_conditional_dependency",
|
| 57 |
+
"template_selection_mode=rule",
|
| 58 |
+
"problem_index_within_template=7",
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| 59 |
+
"sql_variant_index=1/2",
|
| 60 |
+
"binding_index=30"
|
| 61 |
+
],
|
| 62 |
+
"template_selection_mode": "rule",
|
| 63 |
+
"selected_template_rank": 3,
|
| 64 |
+
"problem_index_within_template": 7,
|
| 65 |
+
"sql_variant_index": 1,
|
| 66 |
+
"sql_variant_total": 2
|
| 67 |
+
},
|
| 68 |
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"mode": "subitem_workload_v2",
|
| 69 |
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"sql_source_version": "v2",
|
| 70 |
+
"sql_source_label": "v2_current",
|
| 71 |
+
"generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c7/sql/v2q_c7_42902373218c1a8b.sql",
|
| 72 |
+
"usage_summary": {
|
| 73 |
+
"dataset_id": "c7",
|
| 74 |
+
"model": "v2-cli:codex",
|
| 75 |
+
"run_id": "v2q_c7_42902373218c1a8b",
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| 76 |
+
"api_calls": 0,
|
| 77 |
+
"input_tokens": 13931,
|
| 78 |
+
"cached_input_tokens": 12032,
|
| 79 |
+
"output_tokens": 379,
|
| 80 |
+
"total_tokens": 14310,
|
| 81 |
+
"cost_usd": 0.0,
|
| 82 |
+
"ai_cli_calls": 1,
|
| 83 |
+
"estimated_input_tokens": 0,
|
| 84 |
+
"estimated_output_tokens": 0,
|
| 85 |
+
"estimated_total_tokens": 0,
|
| 86 |
+
"usage_source": "ai_cli_json_usage",
|
| 87 |
+
"cli_elapsed_ms_total": 9757.35,
|
| 88 |
+
"sql_execution_elapsed_ms_total": 7.64,
|
| 89 |
+
"conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_42902373218c1a8b/cli/conversation.jsonl",
|
| 90 |
+
"note": "Executed through a local AI CLI with structured usage metadata."
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| 91 |
+
}
|
| 92 |
+
}
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Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_42902373218c1a8b/trace.jsonl
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{"timestamp": "2026-05-19T15:34:35.072780+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 9757.35, "started_at": "2026-05-19T15:34:25.314091+00:00", "ended_at": "2026-05-19T15:34:35.071487+00:00", "prompt_metrics": {"chars": 6502, "bytes_utf8": 6502, "lines": 207, "estimated_tokens": null}, "response_metrics": {"chars": 500, "bytes_utf8": 500, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13931, "cached_input_tokens": 12032, "output_tokens": 379, "reasoning_output_tokens": 244}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"children\\\",\\n AVG(CASE WHEN \\\"children\\\" = '1' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"c7\\\"\\nGROUP BY \\\"children\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Uses the required template with group_col and condition_col both bound to \\\"children\\\" and condition_value bound to '1'. This measures the within-group proportion of rows where children='1', which will be 1.0 for the '1' group and 0.0 for other children groups.\"}"}
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Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_42902373218c1a8b/usage_summary.json
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| 1 |
+
{
|
| 2 |
+
"dataset_id": "c7",
|
| 3 |
+
"model": "v2-cli:codex",
|
| 4 |
+
"run_id": "v2q_c7_42902373218c1a8b",
|
| 5 |
+
"api_calls": 0,
|
| 6 |
+
"input_tokens": 13931,
|
| 7 |
+
"cached_input_tokens": 12032,
|
| 8 |
+
"output_tokens": 379,
|
| 9 |
+
"total_tokens": 14310,
|
| 10 |
+
"cost_usd": 0.0,
|
| 11 |
+
"ai_cli_calls": 1,
|
| 12 |
+
"estimated_input_tokens": 0,
|
| 13 |
+
"estimated_output_tokens": 0,
|
| 14 |
+
"estimated_total_tokens": 0,
|
| 15 |
+
"usage_source": "ai_cli_json_usage",
|
| 16 |
+
"cli_elapsed_ms_total": 9757.35,
|
| 17 |
+
"sql_execution_elapsed_ms_total": 7.64,
|
| 18 |
+
"conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_42902373218c1a8b/cli/conversation.jsonl",
|
| 19 |
+
"note": "Executed through a local AI CLI with structured usage metadata."
|
| 20 |
+
}
|
Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_56c2fcc58f791d3d/final_answer.txt
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
SQL executed successfully for: Use template Two-Axis Target Rate Surface to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=finance, group_col_2=health, target_col=class.
|
| 2 |
+
Result preview: [{"finance": "convenient", "health": "recommended", "target_rate": 0.10092592592592593}, {"finance": "inconv", "health": "recommended", "target_rate": 0.05092592592592592}, {"finance": "convenient", "health": "not_recom", "target_rate": 0.0}, {"finance": "convenient", "health": "priority", "target_rate": 0.0}, {"finance": "inconv", "health": "not_recom", "target_rate": 0.0}]
|
Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_56c2fcc58f791d3d/generated_sql.sql
ADDED
|
@@ -0,0 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
-- sql_source_version: v2
|
| 2 |
+
-- sql_source_label: v2_current
|
| 3 |
+
-- sql_source_run_id: v2_cli_20260502_081223_b
|
| 4 |
+
-- sql_source_dataset_id: c7
|
| 5 |
+
-- family_id: conditional_dependency_structure
|
| 6 |
+
-- canonical_subitem_id: direction_consistency
|
| 7 |
+
-- intended_facet_id: conditional_rate_shift
|
| 8 |
+
-- variant_semantic_role: within_group_proportion
|
| 9 |
+
-- template_id: tpl_c2_two_dim_target_rate
|
| 10 |
+
-- query_record_id: v2q_c7_56c2fcc58f791d3d
|
| 11 |
+
-- problem_id: v2p_c7_aecb0bd1eb980e2d
|
| 12 |
+
-- realization_mode: agent
|
| 13 |
+
-- source_kind: agent
|
| 14 |
+
SELECT "finance", "health",
|
| 15 |
+
AVG(CASE WHEN "class" = 'very_recom' THEN 1 ELSE 0 END) AS "target_rate"
|
| 16 |
+
FROM "c7"
|
| 17 |
+
GROUP BY "finance", "health"
|
| 18 |
+
ORDER BY "target_rate" DESC;
|
Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_56c2fcc58f791d3d/query_results.jsonl
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_c2_two_dim_target_rate\nSELECT \"finance\", \"health\",\n AVG(CASE WHEN \"class\" = 'very_recom' THEN 1 ELSE 0 END) AS \"target_rate\"\nFROM \"c7\"\nGROUP BY \"finance\", \"health\"\nORDER BY \"target_rate\" DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_two_dim_target_rate\\nSELECT \\\"finance\\\", \\\"health\\\",\\n AVG(CASE WHEN \\\"class\\\" = 'very_recom' THEN 1 ELSE 0 END) AS \\\"target_rate\\\"\\nFROM \\\"c7\\\"\\nGROUP BY \\\"finance\\\", \\\"health\\\"\\nORDER BY \\\"target_rate\\\" DESC;\", \"columns\": [\"finance\", \"health\", \"target_rate\"], \"rows\": [{\"finance\": \"convenient\", \"health\": \"recommended\", \"target_rate\": 0.10092592592592593}, {\"finance\": \"inconv\", \"health\": \"recommended\", \"target_rate\": 0.05092592592592592}, {\"finance\": \"convenient\", \"health\": \"not_recom\", \"target_rate\": 0.0}, {\"finance\": \"convenient\", \"health\": \"priority\", \"target_rate\": 0.0}, {\"finance\": \"inconv\", \"health\": \"not_recom\", \"target_rate\": 0.0}, {\"finance\": \"inconv\", \"health\": \"priority\", \"target_rate\": 0.0}], \"row_count_returned\": 6, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 21.12}"}
|
Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_56c2fcc58f791d3d/run_manifest.json
ADDED
|
@@ -0,0 +1,92 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"run_id": "v2_cli_20260502_081223_b",
|
| 3 |
+
"dataset_id": "c7",
|
| 4 |
+
"started_at": "2026-05-19T15:49:57.033054+00:00",
|
| 5 |
+
"ended_at": "2026-05-19T15:50:08.134345+00:00",
|
| 6 |
+
"status": "completed",
|
| 7 |
+
"engine": "cli",
|
| 8 |
+
"question_record": {
|
| 9 |
+
"query_record_id": "v2q_c7_56c2fcc58f791d3d",
|
| 10 |
+
"problem_id": "v2p_c7_aecb0bd1eb980e2d",
|
| 11 |
+
"dataset_id": "c7",
|
| 12 |
+
"template_id": "tpl_c2_two_dim_target_rate",
|
| 13 |
+
"template_name": "Two-Axis Target Rate Surface",
|
| 14 |
+
"family_id": "conditional_dependency_structure",
|
| 15 |
+
"canonical_subitem_id": "direction_consistency",
|
| 16 |
+
"intended_facet_id": "conditional_rate_shift",
|
| 17 |
+
"variant_semantic_role": "within_group_proportion",
|
| 18 |
+
"subitem_assignment_source": "planner_selected",
|
| 19 |
+
"source_kind": "agent",
|
| 20 |
+
"realization_mode": "agent",
|
| 21 |
+
"gate_priority": "primary",
|
| 22 |
+
"extended_family": false,
|
| 23 |
+
"question": "Use template Two-Axis Target Rate Surface to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=finance, group_col_2=health, target_col=class.",
|
| 24 |
+
"bindings": {
|
| 25 |
+
"group_col": "finance",
|
| 26 |
+
"group_col_2": "health",
|
| 27 |
+
"target_col": "class",
|
| 28 |
+
"target_value": "very_recom",
|
| 29 |
+
"top_k": 18,
|
| 30 |
+
"top_n": 7,
|
| 31 |
+
"num_tiles": 10,
|
| 32 |
+
"percentile_value": 0.95,
|
| 33 |
+
"z_threshold": 2.0,
|
| 34 |
+
"fraction_threshold": 0.05,
|
| 35 |
+
"baseline_multiplier": 1.75,
|
| 36 |
+
"baseline_fraction": 0.1,
|
| 37 |
+
"min_group_size": 5,
|
| 38 |
+
"min_support": 4,
|
| 39 |
+
"measure_threshold": 0.0,
|
| 40 |
+
"time_grain": "month",
|
| 41 |
+
"lookback_rows": 3,
|
| 42 |
+
"current_period_start": "'2024-01-01'",
|
| 43 |
+
"current_period_end": "'2024-04-01'",
|
| 44 |
+
"previous_period_start": "'2023-10-01'",
|
| 45 |
+
"previous_period_end": "'2024-01-01'",
|
| 46 |
+
"drift_ratio_threshold": 0.8
|
| 47 |
+
},
|
| 48 |
+
"binding_roles": [
|
| 49 |
+
"group_col",
|
| 50 |
+
"group_col_2",
|
| 51 |
+
"target_col"
|
| 52 |
+
],
|
| 53 |
+
"coverage_target_min": "5",
|
| 54 |
+
"runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS target_rate\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY target_rate DESC;",
|
| 55 |
+
"notes": [
|
| 56 |
+
"default_facets=conditional_rate_shift",
|
| 57 |
+
"template_selection_mode=rule",
|
| 58 |
+
"problem_index_within_template=8",
|
| 59 |
+
"sql_variant_index=2/2",
|
| 60 |
+
"binding_index=103"
|
| 61 |
+
],
|
| 62 |
+
"template_selection_mode": "rule",
|
| 63 |
+
"selected_template_rank": 9,
|
| 64 |
+
"problem_index_within_template": 8,
|
| 65 |
+
"sql_variant_index": 2,
|
| 66 |
+
"sql_variant_total": 2
|
| 67 |
+
},
|
| 68 |
+
"mode": "subitem_workload_v2",
|
| 69 |
+
"sql_source_version": "v2",
|
| 70 |
+
"sql_source_label": "v2_current",
|
| 71 |
+
"generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c7/sql/v2q_c7_56c2fcc58f791d3d.sql",
|
| 72 |
+
"usage_summary": {
|
| 73 |
+
"dataset_id": "c7",
|
| 74 |
+
"model": "v2-cli:codex",
|
| 75 |
+
"run_id": "v2q_c7_56c2fcc58f791d3d",
|
| 76 |
+
"api_calls": 0,
|
| 77 |
+
"input_tokens": 13972,
|
| 78 |
+
"cached_input_tokens": 12672,
|
| 79 |
+
"output_tokens": 440,
|
| 80 |
+
"total_tokens": 14412,
|
| 81 |
+
"cost_usd": 0.0,
|
| 82 |
+
"ai_cli_calls": 1,
|
| 83 |
+
"estimated_input_tokens": 0,
|
| 84 |
+
"estimated_output_tokens": 0,
|
| 85 |
+
"estimated_total_tokens": 0,
|
| 86 |
+
"usage_source": "ai_cli_json_usage",
|
| 87 |
+
"cli_elapsed_ms_total": 11072.4,
|
| 88 |
+
"sql_execution_elapsed_ms_total": 21.12,
|
| 89 |
+
"conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_56c2fcc58f791d3d/cli/conversation.jsonl",
|
| 90 |
+
"note": "Executed through a local AI CLI with structured usage metadata."
|
| 91 |
+
}
|
| 92 |
+
}
|
Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_56c2fcc58f791d3d/usage_summary.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_id": "c7",
|
| 3 |
+
"model": "v2-cli:codex",
|
| 4 |
+
"run_id": "v2q_c7_56c2fcc58f791d3d",
|
| 5 |
+
"api_calls": 0,
|
| 6 |
+
"input_tokens": 13972,
|
| 7 |
+
"cached_input_tokens": 12672,
|
| 8 |
+
"output_tokens": 440,
|
| 9 |
+
"total_tokens": 14412,
|
| 10 |
+
"cost_usd": 0.0,
|
| 11 |
+
"ai_cli_calls": 1,
|
| 12 |
+
"estimated_input_tokens": 0,
|
| 13 |
+
"estimated_output_tokens": 0,
|
| 14 |
+
"estimated_total_tokens": 0,
|
| 15 |
+
"usage_source": "ai_cli_json_usage",
|
| 16 |
+
"cli_elapsed_ms_total": 11072.4,
|
| 17 |
+
"sql_execution_elapsed_ms_total": 21.12,
|
| 18 |
+
"conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_56c2fcc58f791d3d/cli/conversation.jsonl",
|
| 19 |
+
"note": "Executed through a local AI CLI with structured usage metadata."
|
| 20 |
+
}
|
Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_724a3e89f9da569a/final_answer.txt
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
SQL executed successfully for: Use template Tail Target-Rate Extremes to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=finance, target_col=class.
|
| 2 |
+
Result preview: [{"finance": "convenient", "support": 6480, "focus_rate": 0.34629629629629627}, {"finance": "inconv", "support": 6480, "focus_rate": 0.31203703703703706}]
|
Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_724a3e89f9da569a/generated_sql.sql
ADDED
|
@@ -0,0 +1,22 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
-- sql_source_version: v2
|
| 2 |
+
-- sql_source_label: v2_current
|
| 3 |
+
-- sql_source_run_id: v2_cli_20260502_081223_b
|
| 4 |
+
-- sql_source_dataset_id: c7
|
| 5 |
+
-- family_id: tail_rarity_structure
|
| 6 |
+
-- canonical_subitem_id: tail_concentration_consistency
|
| 7 |
+
-- intended_facet_id: rare_target_concentration
|
| 8 |
+
-- variant_semantic_role: focused_target_view
|
| 9 |
+
-- template_id: tpl_tail_target_rate_extremes_v2
|
| 10 |
+
-- query_record_id: v2q_c7_724a3e89f9da569a
|
| 11 |
+
-- problem_id: v2p_c7_6bb0d29198bab552
|
| 12 |
+
-- realization_mode: agent
|
| 13 |
+
-- source_kind: agent
|
| 14 |
+
SELECT
|
| 15 |
+
"finance",
|
| 16 |
+
COUNT(*) AS support,
|
| 17 |
+
AVG(CASE WHEN "class" = 'priority' THEN 1 ELSE 0 END) AS focus_rate
|
| 18 |
+
FROM "c7"
|
| 19 |
+
GROUP BY "finance"
|
| 20 |
+
HAVING COUNT(*) >= 5
|
| 21 |
+
ORDER BY focus_rate DESC, support ASC
|
| 22 |
+
LIMIT 11;
|
Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_724a3e89f9da569a/query_results.jsonl
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tail_target_rate_extremes_v2\nSELECT\n \"finance\",\n COUNT(*) AS support,\n AVG(CASE WHEN \"class\" = 'priority' THEN 1 ELSE 0 END) AS focus_rate\nFROM \"c7\"\nGROUP BY \"finance\"\nHAVING COUNT(*) >= 5\nORDER BY focus_rate DESC, support ASC\nLIMIT 11;", "result": "{\"query\": \"-- template_id: tpl_tail_target_rate_extremes_v2\\nSELECT\\n \\\"finance\\\",\\n COUNT(*) AS support,\\n AVG(CASE WHEN \\\"class\\\" = 'priority' THEN 1 ELSE 0 END) AS focus_rate\\nFROM \\\"c7\\\"\\nGROUP BY \\\"finance\\\"\\nHAVING COUNT(*) >= 5\\nORDER BY focus_rate DESC, support ASC\\nLIMIT 11;\", \"columns\": [\"finance\", \"support\", \"focus_rate\"], \"rows\": [{\"finance\": \"convenient\", \"support\": 6480, \"focus_rate\": 0.34629629629629627}, {\"finance\": \"inconv\", \"support\": 6480, \"focus_rate\": 0.31203703703703706}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 10.96}"}
|
Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_724a3e89f9da569a/run_manifest.json
ADDED
|
@@ -0,0 +1,90 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
| 1 |
+
{
|
| 2 |
+
"run_id": "v2_cli_20260502_081223_b",
|
| 3 |
+
"dataset_id": "c7",
|
| 4 |
+
"started_at": "2026-05-19T15:43:58.244924+00:00",
|
| 5 |
+
"ended_at": "2026-05-19T15:44:07.075193+00:00",
|
| 6 |
+
"status": "completed",
|
| 7 |
+
"engine": "cli",
|
| 8 |
+
"question_record": {
|
| 9 |
+
"query_record_id": "v2q_c7_724a3e89f9da569a",
|
| 10 |
+
"problem_id": "v2p_c7_6bb0d29198bab552",
|
| 11 |
+
"dataset_id": "c7",
|
| 12 |
+
"template_id": "tpl_tail_target_rate_extremes_v2",
|
| 13 |
+
"template_name": "Tail Target-Rate Extremes",
|
| 14 |
+
"family_id": "tail_rarity_structure",
|
| 15 |
+
"canonical_subitem_id": "tail_concentration_consistency",
|
| 16 |
+
"intended_facet_id": "rare_target_concentration",
|
| 17 |
+
"variant_semantic_role": "focused_target_view",
|
| 18 |
+
"subitem_assignment_source": "planner_selected",
|
| 19 |
+
"source_kind": "agent",
|
| 20 |
+
"realization_mode": "agent",
|
| 21 |
+
"gate_priority": "primary",
|
| 22 |
+
"extended_family": false,
|
| 23 |
+
"question": "Use template Tail Target-Rate Extremes to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=finance, target_col=class.",
|
| 24 |
+
"bindings": {
|
| 25 |
+
"group_col": "finance",
|
| 26 |
+
"target_col": "class",
|
| 27 |
+
"target_value": "priority",
|
| 28 |
+
"top_k": 11,
|
| 29 |
+
"top_n": 5,
|
| 30 |
+
"num_tiles": 10,
|
| 31 |
+
"percentile_value": 0.95,
|
| 32 |
+
"z_threshold": 2.0,
|
| 33 |
+
"fraction_threshold": 0.1,
|
| 34 |
+
"baseline_multiplier": 1.5,
|
| 35 |
+
"baseline_fraction": 0.1,
|
| 36 |
+
"min_group_size": 5,
|
| 37 |
+
"min_support": 5,
|
| 38 |
+
"measure_threshold": 0.0,
|
| 39 |
+
"time_grain": "month",
|
| 40 |
+
"lookback_rows": 3,
|
| 41 |
+
"current_period_start": "'2024-01-01'",
|
| 42 |
+
"current_period_end": "'2024-04-01'",
|
| 43 |
+
"previous_period_start": "'2023-10-01'",
|
| 44 |
+
"previous_period_end": "'2024-01-01'",
|
| 45 |
+
"drift_ratio_threshold": 0.8
|
| 46 |
+
},
|
| 47 |
+
"binding_roles": [
|
| 48 |
+
"group_col",
|
| 49 |
+
"target_col"
|
| 50 |
+
],
|
| 51 |
+
"coverage_target_min": "5",
|
| 52 |
+
"runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support,\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS focus_rate\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY focus_rate DESC, support ASC\nLIMIT {top_k};",
|
| 53 |
+
"notes": [
|
| 54 |
+
"default_facets=rare_target_concentration",
|
| 55 |
+
"template_selection_mode=rule",
|
| 56 |
+
"problem_index_within_template=3",
|
| 57 |
+
"sql_variant_index=1/2",
|
| 58 |
+
"binding_index=86"
|
| 59 |
+
],
|
| 60 |
+
"template_selection_mode": "rule",
|
| 61 |
+
"selected_template_rank": 8,
|
| 62 |
+
"problem_index_within_template": 3,
|
| 63 |
+
"sql_variant_index": 1,
|
| 64 |
+
"sql_variant_total": 2
|
| 65 |
+
},
|
| 66 |
+
"mode": "subitem_workload_v2",
|
| 67 |
+
"sql_source_version": "v2",
|
| 68 |
+
"sql_source_label": "v2_current",
|
| 69 |
+
"generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c7/sql/v2q_c7_724a3e89f9da569a.sql",
|
| 70 |
+
"usage_summary": {
|
| 71 |
+
"dataset_id": "c7",
|
| 72 |
+
"model": "v2-cli:codex",
|
| 73 |
+
"run_id": "v2q_c7_724a3e89f9da569a",
|
| 74 |
+
"api_calls": 0,
|
| 75 |
+
"input_tokens": 13984,
|
| 76 |
+
"cached_input_tokens": 12672,
|
| 77 |
+
"output_tokens": 345,
|
| 78 |
+
"total_tokens": 14329,
|
| 79 |
+
"cost_usd": 0.0,
|
| 80 |
+
"ai_cli_calls": 1,
|
| 81 |
+
"estimated_input_tokens": 0,
|
| 82 |
+
"estimated_output_tokens": 0,
|
| 83 |
+
"estimated_total_tokens": 0,
|
| 84 |
+
"usage_source": "ai_cli_json_usage",
|
| 85 |
+
"cli_elapsed_ms_total": 8813.57,
|
| 86 |
+
"sql_execution_elapsed_ms_total": 10.96,
|
| 87 |
+
"conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_724a3e89f9da569a/cli/conversation.jsonl",
|
| 88 |
+
"note": "Executed through a local AI CLI with structured usage metadata."
|
| 89 |
+
}
|
| 90 |
+
}
|
Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_724a3e89f9da569a/trace.jsonl
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"timestamp": "2026-05-19T15:44:07.061503+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 8813.57, "started_at": "2026-05-19T15:43:58.246564+00:00", "ended_at": "2026-05-19T15:44:07.060163+00:00", "prompt_metrics": {"chars": 6588, "bytes_utf8": 6588, "lines": 205, "estimated_tokens": null}, "response_metrics": {"chars": 460, "bytes_utf8": 460, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13984, "cached_input_tokens": 12672, "output_tokens": 345, "reasoning_output_tokens": 210}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tail_target_rate_extremes_v2\\nSELECT\\n \\\"finance\\\",\\n COUNT(*) AS support,\\n AVG(CASE WHEN \\\"class\\\" = 'priority' THEN 1 ELSE 0 END) AS focus_rate\\nFROM \\\"c7\\\"\\nGROUP BY \\\"finance\\\"\\nHAVING COUNT(*) >= 5\\nORDER BY focus_rate DESC, support ASC\\nLIMIT 11;\",\"notes\":\"Uses the requested Tail Target-Rate Extremes template with group_col=\\\"finance\\\", target_col=\\\"class\\\", target_value='priority', min_support=5, and top_k=11.\"}"}
|
Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_724a3e89f9da569a/usage_summary.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_id": "c7",
|
| 3 |
+
"model": "v2-cli:codex",
|
| 4 |
+
"run_id": "v2q_c7_724a3e89f9da569a",
|
| 5 |
+
"api_calls": 0,
|
| 6 |
+
"input_tokens": 13984,
|
| 7 |
+
"cached_input_tokens": 12672,
|
| 8 |
+
"output_tokens": 345,
|
| 9 |
+
"total_tokens": 14329,
|
| 10 |
+
"cost_usd": 0.0,
|
| 11 |
+
"ai_cli_calls": 1,
|
| 12 |
+
"estimated_input_tokens": 0,
|
| 13 |
+
"estimated_output_tokens": 0,
|
| 14 |
+
"estimated_total_tokens": 0,
|
| 15 |
+
"usage_source": "ai_cli_json_usage",
|
| 16 |
+
"cli_elapsed_ms_total": 8813.57,
|
| 17 |
+
"sql_execution_elapsed_ms_total": 10.96,
|
| 18 |
+
"conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_724a3e89f9da569a/cli/conversation.jsonl",
|
| 19 |
+
"note": "Executed through a local AI CLI with structured usage metadata."
|
| 20 |
+
}
|