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  1. Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_0754ecff423f0836/cli/conversation.jsonl +2 -0
  2. Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_0754ecff423f0836/cli/session_summary.json +25 -0
  3. Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_0754ecff423f0836/cli/sql_attempt_1.metadata.json +45 -0
  4. Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_0754ecff423f0836/cli/sql_prompt_attempt_1.txt +468 -0
  5. Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_0754ecff423f0836/cli/sql_response_attempt_1.raw.txt +4 -0
  6. Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_0754ecff423f0836/cli/sql_response_attempt_1.txt +1 -0
  7. Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_0754ecff423f0836/cli/sql_stderr_attempt_1.txt +0 -0
  8. Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_08817705c0b5f58c/cli/conversation.jsonl +4 -0
  9. Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_08817705c0b5f58c/cli/session_summary.json +25 -0
  10. Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_08817705c0b5f58c/cli/sql_attempt_1.metadata.json +43 -0
  11. Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_08817705c0b5f58c/cli/sql_attempt_2.metadata.json +45 -0
  12. Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_08817705c0b5f58c/cli/sql_prompt_attempt_1.txt +466 -0
  13. Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_08817705c0b5f58c/cli/sql_prompt_attempt_2.txt +466 -0
  14. Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_08817705c0b5f58c/cli/sql_response_attempt_1.raw.txt +4 -0
  15. Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_08817705c0b5f58c/cli/sql_response_attempt_1.txt +4 -0
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  18. Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_08817705c0b5f58c/cli/sql_stderr_attempt_1.txt +0 -0
  19. Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_08817705c0b5f58c/cli/sql_stderr_attempt_2.txt +0 -0
  20. Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_08e1ff53842a706c/cli/conversation.jsonl +2 -0
  21. Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_08e1ff53842a706c/cli/session_summary.json +25 -0
  22. Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_08e1ff53842a706c/cli/sql_attempt_1.metadata.json +45 -0
  23. Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_08e1ff53842a706c/cli/sql_prompt_attempt_1.txt +471 -0
  24. Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_08e1ff53842a706c/cli/sql_response_attempt_1.raw.txt +4 -0
  25. Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_08e1ff53842a706c/cli/sql_response_attempt_1.txt +1 -0
  26. Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_08e1ff53842a706c/cli/sql_stderr_attempt_1.txt +0 -0
  27. Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_0b730db30452939e/cli/conversation.jsonl +2 -0
  28. Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_0b730db30452939e/cli/session_summary.json +25 -0
  29. Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_0b730db30452939e/cli/sql_attempt_1.metadata.json +45 -0
  30. Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_0b730db30452939e/cli/sql_prompt_attempt_1.txt +468 -0
  31. Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_0b730db30452939e/cli/sql_response_attempt_1.raw.txt +4 -0
  32. Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_0b730db30452939e/cli/sql_response_attempt_1.txt +1 -0
  33. Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_0b730db30452939e/cli/sql_stderr_attempt_1.txt +0 -0
  34. Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_0bc2bc172af0110b/final_answer.txt +2 -0
  35. Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_0bc2bc172af0110b/generated_sql.sql +17 -0
  36. Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_0bc2bc172af0110b/query_results.jsonl +1 -0
  37. Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_0bc2bc172af0110b/run_manifest.json +87 -0
  38. Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_0bc2bc172af0110b/trace.jsonl +1 -0
  39. Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_0f407c6b5179afca/cli/conversation.jsonl +2 -0
  40. Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_0f407c6b5179afca/cli/session_summary.json +25 -0
  41. Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_0f407c6b5179afca/cli/sql_attempt_1.metadata.json +45 -0
  42. Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_0f407c6b5179afca/cli/sql_prompt_attempt_1.txt +468 -0
  43. Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_0f407c6b5179afca/cli/sql_response_attempt_1.raw.txt +6 -0
  44. Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_0f407c6b5179afca/cli/sql_response_attempt_1.txt +1 -0
  45. Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_0f407c6b5179afca/cli/sql_stderr_attempt_1.txt +0 -0
  46. Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_10c10ba908d1de1a/cli/conversation.jsonl +2 -0
  47. Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_10c10ba908d1de1a/cli/session_summary.json +25 -0
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Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_0754ecff423f0836/cli/conversation.jsonl ADDED
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+ {"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 15304, "bytes_utf8": 15304, "lines": 468, "estimated_tokens": null}}
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+ {"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 858, "bytes_utf8": 858, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 17144, "cached_input_tokens": 12032, "output_tokens": 787, "reasoning_output_tokens": 516}}
Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_0754ecff423f0836/cli/session_summary.json ADDED
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+ {
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+ "engine": "v2-cli:codex",
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+ "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
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+ "ai_cli_calls": 1,
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+ "usage_summary": {
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+ "dataset_id": "n16",
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+ "model": "v2-cli:codex",
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+ "run_id": "v2q_n16_0754ecff423f0836",
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+ "usage_source": "ai_cli_json_usage",
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+ "cli_elapsed_ms_total": 15981.27,
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+ "sql_execution_elapsed_ms_total": 922.38,
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+ "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_0754ecff423f0836/cli/conversation.jsonl",
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+ "note": "Executed through a local AI CLI with structured usage metadata."
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+ }
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+ }
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+ {
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+ "attempt": 1,
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+ "phase": "sql_generation",
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+ "stderr_path": "cli/sql_stderr_attempt_1.txt"
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+ }
Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_0754ecff423f0836/cli/sql_prompt_attempt_1.txt ADDED
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+ You are generating one SQLite SELECT query for a single-table SQL QA task.
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+ Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
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+ Rules:
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+ - Use only the provided table and columns.
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+ - Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
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+ - Prefer the planned template and bound roles when provided.
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+ - Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
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+ - Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
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+ - Quote identifiers with double quotes.
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+ - Return no markdown and no extra prose.
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+
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+ Dataset context:
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+ Dataset context for SQL QA:
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+ - dataset_id: n16
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+ - dataset_name: Creditcardfraud
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+ - table_name: n16
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+ - table_layout: single-table dataset (do not assume joins).
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+ - row_semantics: One row is one tabular observation with 30 feature columns and target `Class`.
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+ - task_type: classification
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+ - target_column: Class
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+ - main_row_count: 284807
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+ - important_fields:
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+ - Time: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Time.
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+ - V1: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V1.
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+ - V2: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V2.
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+ - V3: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V3.
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+ - V4: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V4.
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+ - V5: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V5.
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+ - V6: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V6.
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+ - V7: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V7.
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+ - V8: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V8.
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+ - V9: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V9.
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+ - V10: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V10.
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+ - V11: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V11.
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+ - V12: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V12.
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+ - V13: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V13.
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+ - V14: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V14.
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+ - V15: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V15.
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+ - V16: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V16.
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+ - V17: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V17.
41
+ - V18: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V18.
42
+ - V19: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V19.
43
+ - V20: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V20.
44
+ - V21: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V21.
45
+ - V22: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V22.
46
+ - V23: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V23.
47
+ - V24: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V24.
48
+ - V25: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V25.
49
+ - V26: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V26.
50
+ - V27: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V27.
51
+ - V28: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V28.
52
+ - Amount: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Amount.
53
+ - Class: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class.
54
+ - useful_field_combinations: [['Class', 'Time', 'Class'], ['Time', 'V1', 'Class']]
55
+ - fields_requiring_caution: ['Class', 'Time', 'V1', 'V2']
56
+ - source_url: https://www.kaggle.com/datasets/mlg-ulb/creditcardfraud
57
+
58
+ SQLite schema snapshot:
59
+ {
60
+ "table_name": "n16",
61
+ "quoted_table_name": "\"n16\"",
62
+ "row_count": 284807,
63
+ "columns": [
64
+ {
65
+ "name": "Time",
66
+ "type": "TEXT",
67
+ "notnull": false,
68
+ "pk": false
69
+ },
70
+ {
71
+ "name": "V1",
72
+ "type": "TEXT",
73
+ "notnull": false,
74
+ "pk": false
75
+ },
76
+ {
77
+ "name": "V2",
78
+ "type": "TEXT",
79
+ "notnull": false,
80
+ "pk": false
81
+ },
82
+ {
83
+ "name": "V3",
84
+ "type": "TEXT",
85
+ "notnull": false,
86
+ "pk": false
87
+ },
88
+ {
89
+ "name": "V4",
90
+ "type": "TEXT",
91
+ "notnull": false,
92
+ "pk": false
93
+ },
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+ {
95
+ "name": "V5",
96
+ "type": "TEXT",
97
+ "notnull": false,
98
+ "pk": false
99
+ },
100
+ {
101
+ "name": "V6",
102
+ "type": "TEXT",
103
+ "notnull": false,
104
+ "pk": false
105
+ },
106
+ {
107
+ "name": "V7",
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+ }
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+ ],
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+ {
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+ "Time": "0",
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+ "V1": "-1.3598071336738",
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+ "V2": "-0.0727811733098497",
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+ "Amount": "69.99",
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+ }
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+ }
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+
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+ Shortlisted templates:
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+ [
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+ {
423
+ "template_id": "tpl_grouped_percentile_point",
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+ "template_name": "Grouped Percentile Point",
425
+ "primary_family": "tail_rarity_structure",
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+ "portability": "yes",
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+ "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;",
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+ "required_roles": [
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+ "group_col",
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+ "measure_col"
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+ ]
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+ }
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+ ]
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+
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+ Problem instance:
436
+ {
437
+ "dataset_id": "n16",
438
+ "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=Class, measure_col=V1.",
439
+ "planned_template_id": "tpl_grouped_percentile_point",
440
+ "bindings": {
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+ "group_col": "Class",
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+ "measure_col": "V1",
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+ "top_k": 16,
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+ "top_n": 7,
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+ "num_tiles": 10,
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+ "percentile_value": 0.95,
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+ "z_threshold": 2.0,
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+ "fraction_threshold": 0.05,
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+ "baseline_multiplier": 1.75,
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+ "baseline_fraction": 0.1,
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+ "min_group_size": 5,
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+ "min_support": 4,
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+ "measure_threshold": 0.80862,
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+ "time_grain": "month",
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+ "lookback_rows": 3,
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+ "current_period_start": "'2024-01-01'",
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+ "current_period_end": "'2024-04-01'",
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+ "previous_period_start": "'2023-10-01'",
459
+ "previous_period_end": "'2024-01-01'",
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+ "drift_ratio_threshold": 0.8
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+ },
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+ "can_vary": [],
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+ "must_fix": [],
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+ "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;"
465
+ }
466
+
467
+ Repair context:
468
+ {}
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+ "prompt_path": "cli/sql_prompt_attempt_1.txt",
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+ "response_path": "cli/sql_response_attempt_1.txt",
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+ "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
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+ "stderr_path": "cli/sql_stderr_attempt_1.txt"
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+ }
Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_08817705c0b5f58c/cli/sql_attempt_2.metadata.json ADDED
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1
+ {
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+ "attempt": 2,
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+ "phase": "sql_generation",
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+ "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
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+ "started_at": "2026-05-19T16:04:01.028808+00:00",
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+ "elapsed_ms": 8180.31,
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+ "stderr_metrics": {
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+ "lines": 0,
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+ "parsed_output": {
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+ "format": "jsonl_events",
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+ "text_metrics": {
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+ "cached_input_tokens": 12032,
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+ }
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+ },
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+ "prompt_path": "cli/sql_prompt_attempt_2.txt",
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+ "response_path": "cli/sql_response_attempt_2.txt",
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+ "raw_response_path": "cli/sql_response_attempt_2.raw.txt",
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+ "stderr_path": "cli/sql_stderr_attempt_2.txt"
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+ }
Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_08817705c0b5f58c/cli/sql_prompt_attempt_1.txt ADDED
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1
+ You are generating one SQLite SELECT query for a single-table SQL QA task.
2
+ Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
3
+ Rules:
4
+ - Use only the provided table and columns.
5
+ - Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
6
+ - Prefer the planned template and bound roles when provided.
7
+ - Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
8
+ - Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
9
+ - Quote identifiers with double quotes.
10
+ - Return no markdown and no extra prose.
11
+
12
+ Dataset context:
13
+ Dataset context for SQL QA:
14
+ - dataset_id: n16
15
+ - dataset_name: Creditcardfraud
16
+ - table_name: n16
17
+ - table_layout: single-table dataset (do not assume joins).
18
+ - row_semantics: One row is one tabular observation with 30 feature columns and target `Class`.
19
+ - task_type: classification
20
+ - target_column: Class
21
+ - main_row_count: 284807
22
+ - important_fields:
23
+ - Time: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Time.
24
+ - V1: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V1.
25
+ - V2: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V2.
26
+ - V3: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V3.
27
+ - V4: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V4.
28
+ - V5: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V5.
29
+ - V6: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V6.
30
+ - V7: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V7.
31
+ - V8: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V8.
32
+ - V9: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V9.
33
+ - V10: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V10.
34
+ - V11: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V11.
35
+ - V12: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V12.
36
+ - V13: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V13.
37
+ - V14: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V14.
38
+ - V15: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V15.
39
+ - V16: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V16.
40
+ - V17: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V17.
41
+ - V18: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V18.
42
+ - V19: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V19.
43
+ - V20: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V20.
44
+ - V21: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V21.
45
+ - V22: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V22.
46
+ - V23: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V23.
47
+ - V24: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V24.
48
+ - V25: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V25.
49
+ - V26: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V26.
50
+ - V27: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V27.
51
+ - V28: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V28.
52
+ - Amount: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Amount.
53
+ - Class: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class.
54
+ - useful_field_combinations: [['Class', 'Time', 'Class'], ['Time', 'V1', 'Class']]
55
+ - fields_requiring_caution: ['Class', 'Time', 'V1', 'V2']
56
+ - source_url: https://www.kaggle.com/datasets/mlg-ulb/creditcardfraud
57
+
58
+ SQLite schema snapshot:
59
+ {
60
+ "table_name": "n16",
61
+ "quoted_table_name": "\"n16\"",
62
+ "row_count": 284807,
63
+ "columns": [
64
+ {
65
+ "name": "Time",
66
+ "type": "TEXT",
67
+ "notnull": false,
68
+ "pk": false
69
+ },
70
+ {
71
+ "name": "V1",
72
+ "type": "TEXT",
73
+ "notnull": false,
74
+ "pk": false
75
+ },
76
+ {
77
+ "name": "V2",
78
+ "type": "TEXT",
79
+ "notnull": false,
80
+ "pk": false
81
+ },
82
+ {
83
+ "name": "V3",
84
+ "type": "TEXT",
85
+ "notnull": false,
86
+ "pk": false
87
+ },
88
+ {
89
+ "name": "V4",
90
+ "type": "TEXT",
91
+ "notnull": false,
92
+ "pk": false
93
+ },
94
+ {
95
+ "name": "V5",
96
+ "type": "TEXT",
97
+ "notnull": false,
98
+ "pk": false
99
+ },
100
+ {
101
+ "name": "V6",
102
+ "type": "TEXT",
103
+ "notnull": false,
104
+ "pk": false
105
+ },
106
+ {
107
+ "name": "V7",
108
+ "type": "TEXT",
109
+ "notnull": false,
110
+ "pk": false
111
+ },
112
+ {
113
+ "name": "V8",
114
+ "type": "TEXT",
115
+ "notnull": false,
116
+ "pk": false
117
+ },
118
+ {
119
+ "name": "V9",
120
+ "type": "TEXT",
121
+ "notnull": false,
122
+ "pk": false
123
+ },
124
+ {
125
+ "name": "V10",
126
+ "type": "TEXT",
127
+ "notnull": false,
128
+ "pk": false
129
+ },
130
+ {
131
+ "name": "V11",
132
+ "type": "TEXT",
133
+ "notnull": false,
134
+ "pk": false
135
+ },
136
+ {
137
+ "name": "V12",
138
+ "type": "TEXT",
139
+ "notnull": false,
140
+ "pk": false
141
+ },
142
+ {
143
+ "name": "V13",
144
+ "type": "TEXT",
145
+ "notnull": false,
146
+ "pk": false
147
+ },
148
+ {
149
+ "name": "V14",
150
+ "type": "TEXT",
151
+ "notnull": false,
152
+ "pk": false
153
+ },
154
+ {
155
+ "name": "V15",
156
+ "type": "TEXT",
157
+ "notnull": false,
158
+ "pk": false
159
+ },
160
+ {
161
+ "name": "V16",
162
+ "type": "TEXT",
163
+ "notnull": false,
164
+ "pk": false
165
+ },
166
+ {
167
+ "name": "V17",
168
+ "type": "TEXT",
169
+ "notnull": false,
170
+ "pk": false
171
+ },
172
+ {
173
+ "name": "V18",
174
+ "type": "TEXT",
175
+ "notnull": false,
176
+ "pk": false
177
+ },
178
+ {
179
+ "name": "V19",
180
+ "type": "TEXT",
181
+ "notnull": false,
182
+ "pk": false
183
+ },
184
+ {
185
+ "name": "V20",
186
+ "type": "TEXT",
187
+ "notnull": false,
188
+ "pk": false
189
+ },
190
+ {
191
+ "name": "V21",
192
+ "type": "TEXT",
193
+ "notnull": false,
194
+ "pk": false
195
+ },
196
+ {
197
+ "name": "V22",
198
+ "type": "TEXT",
199
+ "notnull": false,
200
+ "pk": false
201
+ },
202
+ {
203
+ "name": "V23",
204
+ "type": "TEXT",
205
+ "notnull": false,
206
+ "pk": false
207
+ },
208
+ {
209
+ "name": "V24",
210
+ "type": "TEXT",
211
+ "notnull": false,
212
+ "pk": false
213
+ },
214
+ {
215
+ "name": "V25",
216
+ "type": "TEXT",
217
+ "notnull": false,
218
+ "pk": false
219
+ },
220
+ {
221
+ "name": "V26",
222
+ "type": "TEXT",
223
+ "notnull": false,
224
+ "pk": false
225
+ },
226
+ {
227
+ "name": "V27",
228
+ "type": "TEXT",
229
+ "notnull": false,
230
+ "pk": false
231
+ },
232
+ {
233
+ "name": "V28",
234
+ "type": "TEXT",
235
+ "notnull": false,
236
+ "pk": false
237
+ },
238
+ {
239
+ "name": "Amount",
240
+ "type": "TEXT",
241
+ "notnull": false,
242
+ "pk": false
243
+ },
244
+ {
245
+ "name": "Class",
246
+ "type": "TEXT",
247
+ "notnull": false,
248
+ "pk": false
249
+ }
250
+ ],
251
+ "sample_rows": [
252
+ {
253
+ "Time": "0",
254
+ "V1": "-1.3598071336738",
255
+ "V2": "-0.0727811733098497",
256
+ "V3": "2.53634673796914",
257
+ "V4": "1.37815522427443",
258
+ "V5": "-0.338320769942518",
259
+ "V6": "0.462387777762292",
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+ "V7": "0.239598554061257",
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+ "V8": "0.0986979012610507",
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+ "V9": "0.363786969611213",
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+ "V10": "0.0907941719789316",
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+ "V11": "-0.551599533260813",
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+ "V12": "-0.617800855762348",
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+ "V13": "-0.991389847235408",
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+ "V14": "-0.311169353699879",
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+ "V15": "1.46817697209427",
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+ "V16": "-0.470400525259478",
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+ "V17": "0.207971241929242",
271
+ "V18": "0.0257905801985591",
272
+ "V19": "0.403992960255733",
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+ "V20": "0.251412098239705",
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+ "V21": "-0.018306777944153",
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276
+ "V23": "-0.110473910188767",
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+ "V24": "0.0669280749146731",
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+ "V25": "0.128539358273528",
279
+ "V26": "-0.189114843888824",
280
+ "V27": "0.133558376740387",
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+ "V28": "-0.0210530534538215",
282
+ "Amount": "149.62",
283
+ "Class": "0"
284
+ },
285
+ {
286
+ "Time": "0",
287
+ "V1": "1.19185711131486",
288
+ "V2": "0.26615071205963",
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+ "V3": "0.16648011335321",
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+ "V4": "0.448154078460911",
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+ "V5": "0.0600176492822243",
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+ "V8": "0.0851016549148104",
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+ "V11": "1.61272666105479",
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+ "Amount": "2.69",
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+ "Class": "0"
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+ },
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+ {
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+ "Time": "1",
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+ "Amount": "378.66",
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+ },
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+ "V25": "0.647376034602038",
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+ "V27": "0.0627228487293033",
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+ "V28": "0.0614576285006353",
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+ "Amount": "123.5",
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+ "Class": "0"
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+ },
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+ {
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+ "Time": "2",
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+ "V1": "-1.15823309349523",
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+ "V2": "0.877736754848451",
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+ "V3": "1.548717846511",
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+ "V4": "0.403033933955121",
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+ "V5": "-0.407193377311653",
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+ "V6": "0.0959214624684256",
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+ "V13": "1.3458515932154",
399
+ "V14": "-1.11966983471731",
400
+ "V15": "0.175121130008994",
401
+ "V16": "-0.451449182813529",
402
+ "V17": "-0.237033239362776",
403
+ "V18": "-0.0381947870352842",
404
+ "V19": "0.803486924960175",
405
+ "V20": "0.408542360392758",
406
+ "V21": "-0.00943069713232919",
407
+ "V22": "0.79827849458971",
408
+ "V23": "-0.137458079619063",
409
+ "V24": "0.141266983824769",
410
+ "V25": "-0.206009587619756",
411
+ "V26": "0.502292224181569",
412
+ "V27": "0.219422229513348",
413
+ "V28": "0.215153147499206",
414
+ "Amount": "69.99",
415
+ "Class": "0"
416
+ }
417
+ ]
418
+ }
419
+
420
+ Shortlisted templates:
421
+ [
422
+ {
423
+ "template_id": "tpl_tail_low_support_group_count_v2",
424
+ "template_name": "Low-Support Group Count",
425
+ "primary_family": "tail_rarity_structure",
426
+ "portability": "yes",
427
+ "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};",
428
+ "required_roles": [
429
+ "group_col"
430
+ ]
431
+ }
432
+ ]
433
+
434
+ Problem instance:
435
+ {
436
+ "dataset_id": "n16",
437
+ "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=Class.",
438
+ "planned_template_id": "tpl_tail_low_support_group_count_v2",
439
+ "bindings": {
440
+ "group_col": "Class",
441
+ "top_k": 13,
442
+ "top_n": 6,
443
+ "num_tiles": 10,
444
+ "percentile_value": 0.9,
445
+ "z_threshold": 2.0,
446
+ "fraction_threshold": 0.1,
447
+ "baseline_multiplier": 1.5,
448
+ "baseline_fraction": 0.1,
449
+ "min_group_size": 5,
450
+ "min_support": 5,
451
+ "measure_threshold": 0.559176,
452
+ "time_grain": "month",
453
+ "lookback_rows": 3,
454
+ "current_period_start": "'2024-01-01'",
455
+ "current_period_end": "'2024-04-01'",
456
+ "previous_period_start": "'2023-10-01'",
457
+ "previous_period_end": "'2024-01-01'",
458
+ "drift_ratio_threshold": 0.8
459
+ },
460
+ "can_vary": [],
461
+ "must_fix": [],
462
+ "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};"
463
+ }
464
+
465
+ Repair context:
466
+ {}
Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_08817705c0b5f58c/cli/sql_prompt_attempt_2.txt ADDED
@@ -0,0 +1,466 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ You are generating one SQLite SELECT query for a single-table SQL QA task.
2
+ Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
3
+ Rules:
4
+ - Use only the provided table and columns.
5
+ - Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
6
+ - Prefer the planned template and bound roles when provided.
7
+ - Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
8
+ - Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
9
+ - Quote identifiers with double quotes.
10
+ - Return no markdown and no extra prose.
11
+
12
+ Dataset context:
13
+ Dataset context for SQL QA:
14
+ - dataset_id: n16
15
+ - dataset_name: Creditcardfraud
16
+ - table_name: n16
17
+ - table_layout: single-table dataset (do not assume joins).
18
+ - row_semantics: One row is one tabular observation with 30 feature columns and target `Class`.
19
+ - task_type: classification
20
+ - target_column: Class
21
+ - main_row_count: 284807
22
+ - important_fields:
23
+ - Time: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Time.
24
+ - V1: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V1.
25
+ - V2: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V2.
26
+ - V3: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V3.
27
+ - V4: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V4.
28
+ - V5: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V5.
29
+ - V6: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V6.
30
+ - V7: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V7.
31
+ - V8: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V8.
32
+ - V9: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V9.
33
+ - V10: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V10.
34
+ - V11: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V11.
35
+ - V12: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V12.
36
+ - V13: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V13.
37
+ - V14: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V14.
38
+ - V15: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V15.
39
+ - V16: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V16.
40
+ - V17: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V17.
41
+ - V18: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V18.
42
+ - V19: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V19.
43
+ - V20: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V20.
44
+ - V21: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V21.
45
+ - V22: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V22.
46
+ - V23: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V23.
47
+ - V24: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V24.
48
+ - V25: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V25.
49
+ - V26: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V26.
50
+ - V27: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V27.
51
+ - V28: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V28.
52
+ - Amount: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Amount.
53
+ - Class: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class.
54
+ - useful_field_combinations: [['Class', 'Time', 'Class'], ['Time', 'V1', 'Class']]
55
+ - fields_requiring_caution: ['Class', 'Time', 'V1', 'V2']
56
+ - source_url: https://www.kaggle.com/datasets/mlg-ulb/creditcardfraud
57
+
58
+ SQLite schema snapshot:
59
+ {
60
+ "table_name": "n16",
61
+ "quoted_table_name": "\"n16\"",
62
+ "row_count": 284807,
63
+ "columns": [
64
+ {
65
+ "name": "Time",
66
+ "type": "TEXT",
67
+ "notnull": false,
68
+ "pk": false
69
+ },
70
+ {
71
+ "name": "V1",
72
+ "type": "TEXT",
73
+ "notnull": false,
74
+ "pk": false
75
+ },
76
+ {
77
+ "name": "V2",
78
+ "type": "TEXT",
79
+ "notnull": false,
80
+ "pk": false
81
+ },
82
+ {
83
+ "name": "V3",
84
+ "type": "TEXT",
85
+ "notnull": false,
86
+ "pk": false
87
+ },
88
+ {
89
+ "name": "V4",
90
+ "type": "TEXT",
91
+ "notnull": false,
92
+ "pk": false
93
+ },
94
+ {
95
+ "name": "V5",
96
+ "type": "TEXT",
97
+ "notnull": false,
98
+ "pk": false
99
+ },
100
+ {
101
+ "name": "V6",
102
+ "type": "TEXT",
103
+ "notnull": false,
104
+ "pk": false
105
+ },
106
+ {
107
+ "name": "V7",
108
+ "type": "TEXT",
109
+ "notnull": false,
110
+ "pk": false
111
+ },
112
+ {
113
+ "name": "V8",
114
+ "type": "TEXT",
115
+ "notnull": false,
116
+ "pk": false
117
+ },
118
+ {
119
+ "name": "V9",
120
+ "type": "TEXT",
121
+ "notnull": false,
122
+ "pk": false
123
+ },
124
+ {
125
+ "name": "V10",
126
+ "type": "TEXT",
127
+ "notnull": false,
128
+ "pk": false
129
+ },
130
+ {
131
+ "name": "V11",
132
+ "type": "TEXT",
133
+ "notnull": false,
134
+ "pk": false
135
+ },
136
+ {
137
+ "name": "V12",
138
+ "type": "TEXT",
139
+ "notnull": false,
140
+ "pk": false
141
+ },
142
+ {
143
+ "name": "V13",
144
+ "type": "TEXT",
145
+ "notnull": false,
146
+ "pk": false
147
+ },
148
+ {
149
+ "name": "V14",
150
+ "type": "TEXT",
151
+ "notnull": false,
152
+ "pk": false
153
+ },
154
+ {
155
+ "name": "V15",
156
+ "type": "TEXT",
157
+ "notnull": false,
158
+ "pk": false
159
+ },
160
+ {
161
+ "name": "V16",
162
+ "type": "TEXT",
163
+ "notnull": false,
164
+ "pk": false
165
+ },
166
+ {
167
+ "name": "V17",
168
+ "type": "TEXT",
169
+ "notnull": false,
170
+ "pk": false
171
+ },
172
+ {
173
+ "name": "V18",
174
+ "type": "TEXT",
175
+ "notnull": false,
176
+ "pk": false
177
+ },
178
+ {
179
+ "name": "V19",
180
+ "type": "TEXT",
181
+ "notnull": false,
182
+ "pk": false
183
+ },
184
+ {
185
+ "name": "V20",
186
+ "type": "TEXT",
187
+ "notnull": false,
188
+ "pk": false
189
+ },
190
+ {
191
+ "name": "V21",
192
+ "type": "TEXT",
193
+ "notnull": false,
194
+ "pk": false
195
+ },
196
+ {
197
+ "name": "V22",
198
+ "type": "TEXT",
199
+ "notnull": false,
200
+ "pk": false
201
+ },
202
+ {
203
+ "name": "V23",
204
+ "type": "TEXT",
205
+ "notnull": false,
206
+ "pk": false
207
+ },
208
+ {
209
+ "name": "V24",
210
+ "type": "TEXT",
211
+ "notnull": false,
212
+ "pk": false
213
+ },
214
+ {
215
+ "name": "V25",
216
+ "type": "TEXT",
217
+ "notnull": false,
218
+ "pk": false
219
+ },
220
+ {
221
+ "name": "V26",
222
+ "type": "TEXT",
223
+ "notnull": false,
224
+ "pk": false
225
+ },
226
+ {
227
+ "name": "V27",
228
+ "type": "TEXT",
229
+ "notnull": false,
230
+ "pk": false
231
+ },
232
+ {
233
+ "name": "V28",
234
+ "type": "TEXT",
235
+ "notnull": false,
236
+ "pk": false
237
+ },
238
+ {
239
+ "name": "Amount",
240
+ "type": "TEXT",
241
+ "notnull": false,
242
+ "pk": false
243
+ },
244
+ {
245
+ "name": "Class",
246
+ "type": "TEXT",
247
+ "notnull": false,
248
+ "pk": false
249
+ }
250
+ ],
251
+ "sample_rows": [
252
+ {
253
+ "Time": "0",
254
+ "V1": "-1.3598071336738",
255
+ "V2": "-0.0727811733098497",
256
+ "V3": "2.53634673796914",
257
+ "V4": "1.37815522427443",
258
+ "V5": "-0.338320769942518",
259
+ "V6": "0.462387777762292",
260
+ "V7": "0.239598554061257",
261
+ "V8": "0.0986979012610507",
262
+ "V9": "0.363786969611213",
263
+ "V10": "0.0907941719789316",
264
+ "V11": "-0.551599533260813",
265
+ "V12": "-0.617800855762348",
266
+ "V13": "-0.991389847235408",
267
+ "V14": "-0.311169353699879",
268
+ "V15": "1.46817697209427",
269
+ "V16": "-0.470400525259478",
270
+ "V17": "0.207971241929242",
271
+ "V18": "0.0257905801985591",
272
+ "V19": "0.403992960255733",
273
+ "V20": "0.251412098239705",
274
+ "V21": "-0.018306777944153",
275
+ "V22": "0.277837575558899",
276
+ "V23": "-0.110473910188767",
277
+ "V24": "0.0669280749146731",
278
+ "V25": "0.128539358273528",
279
+ "V26": "-0.189114843888824",
280
+ "V27": "0.133558376740387",
281
+ "V28": "-0.0210530534538215",
282
+ "Amount": "149.62",
283
+ "Class": "0"
284
+ },
285
+ {
286
+ "Time": "0",
287
+ "V1": "1.19185711131486",
288
+ "V2": "0.26615071205963",
289
+ "V3": "0.16648011335321",
290
+ "V4": "0.448154078460911",
291
+ "V5": "0.0600176492822243",
292
+ "V6": "-0.0823608088155687",
293
+ "V7": "-0.0788029833323113",
294
+ "V8": "0.0851016549148104",
295
+ "V9": "-0.255425128109186",
296
+ "V10": "-0.166974414004614",
297
+ "V11": "1.61272666105479",
298
+ "V12": "1.06523531137287",
299
+ "V13": "0.48909501589608",
300
+ "V14": "-0.143772296441519",
301
+ "V15": "0.635558093258208",
302
+ "V16": "0.463917041022171",
303
+ "V17": "-0.114804663102346",
304
+ "V18": "-0.183361270123994",
305
+ "V19": "-0.145783041325259",
306
+ "V20": "-0.0690831352230203",
307
+ "V21": "-0.225775248033138",
308
+ "V22": "-0.638671952771851",
309
+ "V23": "0.101288021253234",
310
+ "V24": "-0.339846475529127",
311
+ "V25": "0.167170404418143",
312
+ "V26": "0.125894532368176",
313
+ "V27": "-0.00898309914322813",
314
+ "V28": "0.0147241691924927",
315
+ "Amount": "2.69",
316
+ "Class": "0"
317
+ },
318
+ {
319
+ "Time": "1",
320
+ "V1": "-1.35835406159823",
321
+ "V2": "-1.34016307473609",
322
+ "V3": "1.77320934263119",
323
+ "V4": "0.379779593034328",
324
+ "V5": "-0.503198133318193",
325
+ "V6": "1.80049938079263",
326
+ "V7": "0.791460956450422",
327
+ "V8": "0.247675786588991",
328
+ "V9": "-1.51465432260583",
329
+ "V10": "0.207642865216696",
330
+ "V11": "0.624501459424895",
331
+ "V12": "0.066083685268831",
332
+ "V13": "0.717292731410831",
333
+ "V14": "-0.165945922763554",
334
+ "V15": "2.34586494901581",
335
+ "V16": "-2.89008319444231",
336
+ "V17": "1.10996937869599",
337
+ "V18": "-0.121359313195888",
338
+ "V19": "-2.26185709530414",
339
+ "V20": "0.524979725224404",
340
+ "V21": "0.247998153469754",
341
+ "V22": "0.771679401917229",
342
+ "V23": "0.909412262347719",
343
+ "V24": "-0.689280956490685",
344
+ "V25": "-0.327641833735251",
345
+ "V26": "-0.139096571514147",
346
+ "V27": "-0.0553527940384261",
347
+ "V28": "-0.0597518405929204",
348
+ "Amount": "378.66",
349
+ "Class": "0"
350
+ },
351
+ {
352
+ "Time": "1",
353
+ "V1": "-0.966271711572087",
354
+ "V2": "-0.185226008082898",
355
+ "V3": "1.79299333957872",
356
+ "V4": "-0.863291275036453",
357
+ "V5": "-0.0103088796030823",
358
+ "V6": "1.24720316752486",
359
+ "V7": "0.23760893977178",
360
+ "V8": "0.377435874652262",
361
+ "V9": "-1.38702406270197",
362
+ "V10": "-0.0549519224713749",
363
+ "V11": "-0.226487263835401",
364
+ "V12": "0.178228225877303",
365
+ "V13": "0.507756869957169",
366
+ "V14": "-0.28792374549456",
367
+ "V15": "-0.631418117709045",
368
+ "V16": "-1.0596472454325",
369
+ "V17": "-0.684092786345479",
370
+ "V18": "1.96577500349538",
371
+ "V19": "-1.2326219700892",
372
+ "V20": "-0.208037781160366",
373
+ "V21": "-0.108300452035545",
374
+ "V22": "0.00527359678253453",
375
+ "V23": "-0.190320518742841",
376
+ "V24": "-1.17557533186321",
377
+ "V25": "0.647376034602038",
378
+ "V26": "-0.221928844458407",
379
+ "V27": "0.0627228487293033",
380
+ "V28": "0.0614576285006353",
381
+ "Amount": "123.5",
382
+ "Class": "0"
383
+ },
384
+ {
385
+ "Time": "2",
386
+ "V1": "-1.15823309349523",
387
+ "V2": "0.877736754848451",
388
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+ }
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+ ]
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+ }
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+
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+ Shortlisted templates:
421
+ [
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+ {
423
+ "template_id": "tpl_tail_low_support_group_count_v2",
424
+ "template_name": "Low-Support Group Count",
425
+ "primary_family": "tail_rarity_structure",
426
+ "portability": "yes",
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+ "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};",
428
+ "required_roles": [
429
+ "group_col"
430
+ ]
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+ }
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+ ]
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+
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+ Problem instance:
435
+ {
436
+ "dataset_id": "n16",
437
+ "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=Class.",
438
+ "planned_template_id": "tpl_tail_low_support_group_count_v2",
439
+ "bindings": {
440
+ "group_col": "Class",
441
+ "top_k": 13,
442
+ "top_n": 6,
443
+ "num_tiles": 10,
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+ "percentile_value": 0.9,
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+ "z_threshold": 2.0,
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+ "fraction_threshold": 0.1,
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+ "baseline_multiplier": 1.5,
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+ "baseline_fraction": 0.1,
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+ "min_group_size": 5,
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+ "min_support": 5,
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+ "measure_threshold": 0.559176,
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+ "time_grain": "month",
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+ "lookback_rows": 3,
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+ "current_period_start": "'2024-01-01'",
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+ "current_period_end": "'2024-04-01'",
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+ "previous_period_start": "'2023-10-01'",
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+ "previous_period_end": "'2024-01-01'",
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+ "drift_ratio_threshold": 0.8
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+ },
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+ "can_vary": [],
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+ "must_fix": [],
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+ "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};"
463
+ }
464
+
465
+ Repair context:
466
+ {}
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+ "model": "v2-cli:codex",
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+ "run_id": "v2q_n16_08e1ff53842a706c",
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+ "note": "Executed through a local AI CLI with structured usage metadata."
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+ }
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+ }
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Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_08e1ff53842a706c/cli/sql_prompt_attempt_1.txt ADDED
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1
+ You are generating one SQLite SELECT query for a single-table SQL QA task.
2
+ Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
3
+ Rules:
4
+ - Use only the provided table and columns.
5
+ - Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
6
+ - Prefer the planned template and bound roles when provided.
7
+ - Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
8
+ - Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
9
+ - Quote identifiers with double quotes.
10
+ - Return no markdown and no extra prose.
11
+
12
+ Dataset context:
13
+ Dataset context for SQL QA:
14
+ - dataset_id: n16
15
+ - dataset_name: Creditcardfraud
16
+ - table_name: n16
17
+ - table_layout: single-table dataset (do not assume joins).
18
+ - row_semantics: One row is one tabular observation with 30 feature columns and target `Class`.
19
+ - task_type: classification
20
+ - target_column: Class
21
+ - main_row_count: 284807
22
+ - important_fields:
23
+ - Time: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Time.
24
+ - V1: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V1.
25
+ - V2: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V2.
26
+ - V3: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V3.
27
+ - V4: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V4.
28
+ - V5: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V5.
29
+ - V6: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V6.
30
+ - V7: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V7.
31
+ - V8: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V8.
32
+ - V9: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V9.
33
+ - V10: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V10.
34
+ - V11: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V11.
35
+ - V12: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V12.
36
+ - V13: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V13.
37
+ - V14: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V14.
38
+ - V15: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V15.
39
+ - V16: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V16.
40
+ - V17: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V17.
41
+ - V18: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V18.
42
+ - V19: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V19.
43
+ - V20: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V20.
44
+ - V21: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V21.
45
+ - V22: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V22.
46
+ - V23: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V23.
47
+ - V24: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V24.
48
+ - V25: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V25.
49
+ - V26: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V26.
50
+ - V27: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V27.
51
+ - V28: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V28.
52
+ - Amount: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Amount.
53
+ - Class: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class.
54
+ - useful_field_combinations: [['Class', 'Time', 'Class'], ['Time', 'V1', 'Class']]
55
+ - fields_requiring_caution: ['Class', 'Time', 'V1', 'V2']
56
+ - source_url: https://www.kaggle.com/datasets/mlg-ulb/creditcardfraud
57
+
58
+ SQLite schema snapshot:
59
+ {
60
+ "table_name": "n16",
61
+ "quoted_table_name": "\"n16\"",
62
+ "row_count": 284807,
63
+ "columns": [
64
+ {
65
+ "name": "Time",
66
+ "type": "TEXT",
67
+ "notnull": false,
68
+ "pk": false
69
+ },
70
+ {
71
+ "name": "V1",
72
+ "type": "TEXT",
73
+ "notnull": false,
74
+ "pk": false
75
+ },
76
+ {
77
+ "name": "V2",
78
+ "type": "TEXT",
79
+ "notnull": false,
80
+ "pk": false
81
+ },
82
+ {
83
+ "name": "V3",
84
+ "type": "TEXT",
85
+ "notnull": false,
86
+ "pk": false
87
+ },
88
+ {
89
+ "name": "V4",
90
+ "type": "TEXT",
91
+ "notnull": false,
92
+ "pk": false
93
+ },
94
+ {
95
+ "name": "V5",
96
+ "type": "TEXT",
97
+ "notnull": false,
98
+ "pk": false
99
+ },
100
+ {
101
+ "name": "V6",
102
+ "type": "TEXT",
103
+ "notnull": false,
104
+ "pk": false
105
+ },
106
+ {
107
+ "name": "V7",
108
+ "type": "TEXT",
109
+ "notnull": false,
110
+ "pk": false
111
+ },
112
+ {
113
+ "name": "V8",
114
+ "type": "TEXT",
115
+ "notnull": false,
116
+ "pk": false
117
+ },
118
+ {
119
+ "name": "V9",
120
+ "type": "TEXT",
121
+ "notnull": false,
122
+ "pk": false
123
+ },
124
+ {
125
+ "name": "V10",
126
+ "type": "TEXT",
127
+ "notnull": false,
128
+ "pk": false
129
+ },
130
+ {
131
+ "name": "V11",
132
+ "type": "TEXT",
133
+ "notnull": false,
134
+ "pk": false
135
+ },
136
+ {
137
+ "name": "V12",
138
+ "type": "TEXT",
139
+ "notnull": false,
140
+ "pk": false
141
+ },
142
+ {
143
+ "name": "V13",
144
+ "type": "TEXT",
145
+ "notnull": false,
146
+ "pk": false
147
+ },
148
+ {
149
+ "name": "V14",
150
+ "type": "TEXT",
151
+ "notnull": false,
152
+ "pk": false
153
+ },
154
+ {
155
+ "name": "V15",
156
+ "type": "TEXT",
157
+ "notnull": false,
158
+ "pk": false
159
+ },
160
+ {
161
+ "name": "V16",
162
+ "type": "TEXT",
163
+ "notnull": false,
164
+ "pk": false
165
+ },
166
+ {
167
+ "name": "V17",
168
+ "type": "TEXT",
169
+ "notnull": false,
170
+ "pk": false
171
+ },
172
+ {
173
+ "name": "V18",
174
+ "type": "TEXT",
175
+ "notnull": false,
176
+ "pk": false
177
+ },
178
+ {
179
+ "name": "V19",
180
+ "type": "TEXT",
181
+ "notnull": false,
182
+ "pk": false
183
+ },
184
+ {
185
+ "name": "V20",
186
+ "type": "TEXT",
187
+ "notnull": false,
188
+ "pk": false
189
+ },
190
+ {
191
+ "name": "V21",
192
+ "type": "TEXT",
193
+ "notnull": false,
194
+ "pk": false
195
+ },
196
+ {
197
+ "name": "V22",
198
+ "type": "TEXT",
199
+ "notnull": false,
200
+ "pk": false
201
+ },
202
+ {
203
+ "name": "V23",
204
+ "type": "TEXT",
205
+ "notnull": false,
206
+ "pk": false
207
+ },
208
+ {
209
+ "name": "V24",
210
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+ }
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+ ]
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+ }
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+
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+ Shortlisted templates:
421
+ [
422
+ {
423
+ "template_id": "tpl_m4_group_condition_rate",
424
+ "template_name": "Grouped Condition Rate",
425
+ "primary_family": "conditional_dependency_structure",
426
+ "portability": "yes",
427
+ "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;",
428
+ "required_roles": [
429
+ "group_col",
430
+ "condition_col"
431
+ ]
432
+ }
433
+ ]
434
+
435
+ Problem instance:
436
+ {
437
+ "dataset_id": "n16",
438
+ "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Class, condition_col=Class.",
439
+ "planned_template_id": "tpl_m4_group_condition_rate",
440
+ "bindings": {
441
+ "group_col": "Class",
442
+ "condition_col": "Class",
443
+ "condition_value": "1",
444
+ "positive_value": "0",
445
+ "negative_value": "1",
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+ "top_k": 18,
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+ "top_n": 6,
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+ "num_tiles": 10,
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+ "percentile_value": 0.9,
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+ "z_threshold": 2.0,
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+ "fraction_threshold": 0.05,
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+ "baseline_multiplier": 1.75,
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+ "baseline_fraction": 0.1,
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+ "min_group_size": 5,
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+ "min_support": 4,
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+ "measure_threshold": 0.125246,
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+ "time_grain": "month",
458
+ "lookback_rows": 3,
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+ "current_period_start": "'2024-01-01'",
460
+ "current_period_end": "'2024-04-01'",
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+ "previous_period_start": "'2023-10-01'",
462
+ "previous_period_end": "'2024-01-01'",
463
+ "drift_ratio_threshold": 0.8
464
+ },
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+ "can_vary": [],
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+ "must_fix": [],
467
+ "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;"
468
+ }
469
+
470
+ Repair context:
471
+ {}
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+ {
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+ "ai_cli_calls": 1,
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+ "usage_summary": {
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+ "model": "v2-cli:codex",
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+ "run_id": "v2q_n16_0b730db30452939e",
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+ "api_calls": 0,
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+ "cli_elapsed_ms_total": 14571.56,
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+ "sql_execution_elapsed_ms_total": 640.81,
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+ "note": "Executed through a local AI CLI with structured usage metadata."
24
+ }
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+ }
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+ {
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+ "phase": "sql_generation",
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+ "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
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Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_0b730db30452939e/cli/sql_prompt_attempt_1.txt ADDED
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1
+ You are generating one SQLite SELECT query for a single-table SQL QA task.
2
+ Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
3
+ Rules:
4
+ - Use only the provided table and columns.
5
+ - Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
6
+ - Prefer the planned template and bound roles when provided.
7
+ - Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
8
+ - Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
9
+ - Quote identifiers with double quotes.
10
+ - Return no markdown and no extra prose.
11
+
12
+ Dataset context:
13
+ Dataset context for SQL QA:
14
+ - dataset_id: n16
15
+ - dataset_name: Creditcardfraud
16
+ - table_name: n16
17
+ - table_layout: single-table dataset (do not assume joins).
18
+ - row_semantics: One row is one tabular observation with 30 feature columns and target `Class`.
19
+ - task_type: classification
20
+ - target_column: Class
21
+ - main_row_count: 284807
22
+ - important_fields:
23
+ - Time: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Time.
24
+ - V1: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V1.
25
+ - V2: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V2.
26
+ - V3: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V3.
27
+ - V4: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V4.
28
+ - V5: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V5.
29
+ - V6: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V6.
30
+ - V7: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V7.
31
+ - V8: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V8.
32
+ - V9: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V9.
33
+ - V10: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V10.
34
+ - V11: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V11.
35
+ - V12: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V12.
36
+ - V13: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V13.
37
+ - V14: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V14.
38
+ - V15: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V15.
39
+ - V16: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V16.
40
+ - V17: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V17.
41
+ - V18: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V18.
42
+ - V19: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V19.
43
+ - V20: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V20.
44
+ - V21: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V21.
45
+ - V22: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V22.
46
+ - V23: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V23.
47
+ - V24: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V24.
48
+ - V25: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V25.
49
+ - V26: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V26.
50
+ - V27: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V27.
51
+ - V28: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V28.
52
+ - Amount: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Amount.
53
+ - Class: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class.
54
+ - useful_field_combinations: [['Class', 'Time', 'Class'], ['Time', 'V1', 'Class']]
55
+ - fields_requiring_caution: ['Class', 'Time', 'V1', 'V2']
56
+ - source_url: https://www.kaggle.com/datasets/mlg-ulb/creditcardfraud
57
+
58
+ SQLite schema snapshot:
59
+ {
60
+ "table_name": "n16",
61
+ "quoted_table_name": "\"n16\"",
62
+ "row_count": 284807,
63
+ "columns": [
64
+ {
65
+ "name": "Time",
66
+ "type": "TEXT",
67
+ "notnull": false,
68
+ "pk": false
69
+ },
70
+ {
71
+ "name": "V1",
72
+ "type": "TEXT",
73
+ "notnull": false,
74
+ "pk": false
75
+ },
76
+ {
77
+ "name": "V2",
78
+ "type": "TEXT",
79
+ "notnull": false,
80
+ "pk": false
81
+ },
82
+ {
83
+ "name": "V3",
84
+ "type": "TEXT",
85
+ "notnull": false,
86
+ "pk": false
87
+ },
88
+ {
89
+ "name": "V4",
90
+ "type": "TEXT",
91
+ "notnull": false,
92
+ "pk": false
93
+ },
94
+ {
95
+ "name": "V5",
96
+ "type": "TEXT",
97
+ "notnull": false,
98
+ "pk": false
99
+ },
100
+ {
101
+ "name": "V6",
102
+ "type": "TEXT",
103
+ "notnull": false,
104
+ "pk": false
105
+ },
106
+ {
107
+ "name": "V7",
108
+ "type": "TEXT",
109
+ "notnull": false,
110
+ "pk": false
111
+ },
112
+ {
113
+ "name": "V8",
114
+ "type": "TEXT",
115
+ "notnull": false,
116
+ "pk": false
117
+ },
118
+ {
119
+ "name": "V9",
120
+ "type": "TEXT",
121
+ "notnull": false,
122
+ "pk": false
123
+ },
124
+ {
125
+ "name": "V10",
126
+ "type": "TEXT",
127
+ "notnull": false,
128
+ "pk": false
129
+ },
130
+ {
131
+ "name": "V11",
132
+ "type": "TEXT",
133
+ "notnull": false,
134
+ "pk": false
135
+ },
136
+ {
137
+ "name": "V12",
138
+ "type": "TEXT",
139
+ "notnull": false,
140
+ "pk": false
141
+ },
142
+ {
143
+ "name": "V13",
144
+ "type": "TEXT",
145
+ "notnull": false,
146
+ "pk": false
147
+ },
148
+ {
149
+ "name": "V14",
150
+ "type": "TEXT",
151
+ "notnull": false,
152
+ "pk": false
153
+ },
154
+ {
155
+ "name": "V15",
156
+ "type": "TEXT",
157
+ "notnull": false,
158
+ "pk": false
159
+ },
160
+ {
161
+ "name": "V16",
162
+ "type": "TEXT",
163
+ "notnull": false,
164
+ "pk": false
165
+ },
166
+ {
167
+ "name": "V17",
168
+ "type": "TEXT",
169
+ "notnull": false,
170
+ "pk": false
171
+ },
172
+ {
173
+ "name": "V18",
174
+ "type": "TEXT",
175
+ "notnull": false,
176
+ "pk": false
177
+ },
178
+ {
179
+ "name": "V19",
180
+ "type": "TEXT",
181
+ "notnull": false,
182
+ "pk": false
183
+ },
184
+ {
185
+ "name": "V20",
186
+ "type": "TEXT",
187
+ "notnull": false,
188
+ "pk": false
189
+ },
190
+ {
191
+ "name": "V21",
192
+ "type": "TEXT",
193
+ "notnull": false,
194
+ "pk": false
195
+ },
196
+ {
197
+ "name": "V22",
198
+ "type": "TEXT",
199
+ "notnull": false,
200
+ "pk": false
201
+ },
202
+ {
203
+ "name": "V23",
204
+ "type": "TEXT",
205
+ "notnull": false,
206
+ "pk": false
207
+ },
208
+ {
209
+ "name": "V24",
210
+ "type": "TEXT",
211
+ "notnull": false,
212
+ "pk": false
213
+ },
214
+ {
215
+ "name": "V25",
216
+ "type": "TEXT",
217
+ "notnull": false,
218
+ "pk": false
219
+ },
220
+ {
221
+ "name": "V26",
222
+ "type": "TEXT",
223
+ "notnull": false,
224
+ "pk": false
225
+ },
226
+ {
227
+ "name": "V27",
228
+ "type": "TEXT",
229
+ "notnull": false,
230
+ "pk": false
231
+ },
232
+ {
233
+ "name": "V28",
234
+ "type": "TEXT",
235
+ "notnull": false,
236
+ "pk": false
237
+ },
238
+ {
239
+ "name": "Amount",
240
+ "type": "TEXT",
241
+ "notnull": false,
242
+ "pk": false
243
+ },
244
+ {
245
+ "name": "Class",
246
+ "type": "TEXT",
247
+ "notnull": false,
248
+ "pk": false
249
+ }
250
+ ],
251
+ "sample_rows": [
252
+ {
253
+ "Time": "0",
254
+ "V1": "-1.3598071336738",
255
+ "V2": "-0.0727811733098497",
256
+ "V3": "2.53634673796914",
257
+ "V4": "1.37815522427443",
258
+ "V5": "-0.338320769942518",
259
+ "V6": "0.462387777762292",
260
+ "V7": "0.239598554061257",
261
+ "V8": "0.0986979012610507",
262
+ "V9": "0.363786969611213",
263
+ "V10": "0.0907941719789316",
264
+ "V11": "-0.551599533260813",
265
+ "V12": "-0.617800855762348",
266
+ "V13": "-0.991389847235408",
267
+ "V14": "-0.311169353699879",
268
+ "V15": "1.46817697209427",
269
+ "V16": "-0.470400525259478",
270
+ "V17": "0.207971241929242",
271
+ "V18": "0.0257905801985591",
272
+ "V19": "0.403992960255733",
273
+ "V20": "0.251412098239705",
274
+ "V21": "-0.018306777944153",
275
+ "V22": "0.277837575558899",
276
+ "V23": "-0.110473910188767",
277
+ "V24": "0.0669280749146731",
278
+ "V25": "0.128539358273528",
279
+ "V26": "-0.189114843888824",
280
+ "V27": "0.133558376740387",
281
+ "V28": "-0.0210530534538215",
282
+ "Amount": "149.62",
283
+ "Class": "0"
284
+ },
285
+ {
286
+ "Time": "0",
287
+ "V1": "1.19185711131486",
288
+ "V2": "0.26615071205963",
289
+ "V3": "0.16648011335321",
290
+ "V4": "0.448154078460911",
291
+ "V5": "0.0600176492822243",
292
+ "V6": "-0.0823608088155687",
293
+ "V7": "-0.0788029833323113",
294
+ "V8": "0.0851016549148104",
295
+ "V9": "-0.255425128109186",
296
+ "V10": "-0.166974414004614",
297
+ "V11": "1.61272666105479",
298
+ "V12": "1.06523531137287",
299
+ "V13": "0.48909501589608",
300
+ "V14": "-0.143772296441519",
301
+ "V15": "0.635558093258208",
302
+ "V16": "0.463917041022171",
303
+ "V17": "-0.114804663102346",
304
+ "V18": "-0.183361270123994",
305
+ "V19": "-0.145783041325259",
306
+ "V20": "-0.0690831352230203",
307
+ "V21": "-0.225775248033138",
308
+ "V22": "-0.638671952771851",
309
+ "V23": "0.101288021253234",
310
+ "V24": "-0.339846475529127",
311
+ "V25": "0.167170404418143",
312
+ "V26": "0.125894532368176",
313
+ "V27": "-0.00898309914322813",
314
+ "V28": "0.0147241691924927",
315
+ "Amount": "2.69",
316
+ "Class": "0"
317
+ },
318
+ {
319
+ "Time": "1",
320
+ "V1": "-1.35835406159823",
321
+ "V2": "-1.34016307473609",
322
+ "V3": "1.77320934263119",
323
+ "V4": "0.379779593034328",
324
+ "V5": "-0.503198133318193",
325
+ "V6": "1.80049938079263",
326
+ "V7": "0.791460956450422",
327
+ "V8": "0.247675786588991",
328
+ "V9": "-1.51465432260583",
329
+ "V10": "0.207642865216696",
330
+ "V11": "0.624501459424895",
331
+ "V12": "0.066083685268831",
332
+ "V13": "0.717292731410831",
333
+ "V14": "-0.165945922763554",
334
+ "V15": "2.34586494901581",
335
+ "V16": "-2.89008319444231",
336
+ "V17": "1.10996937869599",
337
+ "V18": "-0.121359313195888",
338
+ "V19": "-2.26185709530414",
339
+ "V20": "0.524979725224404",
340
+ "V21": "0.247998153469754",
341
+ "V22": "0.771679401917229",
342
+ "V23": "0.909412262347719",
343
+ "V24": "-0.689280956490685",
344
+ "V25": "-0.327641833735251",
345
+ "V26": "-0.139096571514147",
346
+ "V27": "-0.0553527940384261",
347
+ "V28": "-0.0597518405929204",
348
+ "Amount": "378.66",
349
+ "Class": "0"
350
+ },
351
+ {
352
+ "Time": "1",
353
+ "V1": "-0.966271711572087",
354
+ "V2": "-0.185226008082898",
355
+ "V3": "1.79299333957872",
356
+ "V4": "-0.863291275036453",
357
+ "V5": "-0.0103088796030823",
358
+ "V6": "1.24720316752486",
359
+ "V7": "0.23760893977178",
360
+ "V8": "0.377435874652262",
361
+ "V9": "-1.38702406270197",
362
+ "V10": "-0.0549519224713749",
363
+ "V11": "-0.226487263835401",
364
+ "V12": "0.178228225877303",
365
+ "V13": "0.507756869957169",
366
+ "V14": "-0.28792374549456",
367
+ "V15": "-0.631418117709045",
368
+ "V16": "-1.0596472454325",
369
+ "V17": "-0.684092786345479",
370
+ "V18": "1.96577500349538",
371
+ "V19": "-1.2326219700892",
372
+ "V20": "-0.208037781160366",
373
+ "V21": "-0.108300452035545",
374
+ "V22": "0.00527359678253453",
375
+ "V23": "-0.190320518742841",
376
+ "V24": "-1.17557533186321",
377
+ "V25": "0.647376034602038",
378
+ "V26": "-0.221928844458407",
379
+ "V27": "0.0627228487293033",
380
+ "V28": "0.0614576285006353",
381
+ "Amount": "123.5",
382
+ "Class": "0"
383
+ },
384
+ {
385
+ "Time": "2",
386
+ "V1": "-1.15823309349523",
387
+ "V2": "0.877736754848451",
388
+ "V3": "1.548717846511",
389
+ "V4": "0.403033933955121",
390
+ "V5": "-0.407193377311653",
391
+ "V6": "0.0959214624684256",
392
+ "V7": "0.592940745385545",
393
+ "V8": "-0.270532677192282",
394
+ "V9": "0.817739308235294",
395
+ "V10": "0.753074431976354",
396
+ "V11": "-0.822842877946363",
397
+ "V12": "0.53819555014995",
398
+ "V13": "1.3458515932154",
399
+ "V14": "-1.11966983471731",
400
+ "V15": "0.175121130008994",
401
+ "V16": "-0.451449182813529",
402
+ "V17": "-0.237033239362776",
403
+ "V18": "-0.0381947870352842",
404
+ "V19": "0.803486924960175",
405
+ "V20": "0.408542360392758",
406
+ "V21": "-0.00943069713232919",
407
+ "V22": "0.79827849458971",
408
+ "V23": "-0.137458079619063",
409
+ "V24": "0.141266983824769",
410
+ "V25": "-0.206009587619756",
411
+ "V26": "0.502292224181569",
412
+ "V27": "0.219422229513348",
413
+ "V28": "0.215153147499206",
414
+ "Amount": "69.99",
415
+ "Class": "0"
416
+ }
417
+ ]
418
+ }
419
+
420
+ Shortlisted templates:
421
+ [
422
+ {
423
+ "template_id": "tpl_m4_window_partition_avg",
424
+ "template_name": "Window Partition Average",
425
+ "primary_family": "conditional_dependency_structure",
426
+ "portability": "partial",
427
+ "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;",
428
+ "required_roles": [
429
+ "group_col",
430
+ "measure_col"
431
+ ]
432
+ }
433
+ ]
434
+
435
+ Problem instance:
436
+ {
437
+ "dataset_id": "n16",
438
+ "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=Class, measure_col=V24.",
439
+ "planned_template_id": "tpl_m4_window_partition_avg",
440
+ "bindings": {
441
+ "group_col": "Class",
442
+ "measure_col": "V24",
443
+ "top_k": 19,
444
+ "top_n": 6,
445
+ "num_tiles": 10,
446
+ "percentile_value": 0.9,
447
+ "z_threshold": 2.0,
448
+ "fraction_threshold": 0.05,
449
+ "baseline_multiplier": 1.75,
450
+ "baseline_fraction": 0.1,
451
+ "min_group_size": 5,
452
+ "min_support": 4,
453
+ "measure_threshold": 0.083704,
454
+ "time_grain": "month",
455
+ "lookback_rows": 3,
456
+ "current_period_start": "'2024-01-01'",
457
+ "current_period_end": "'2024-04-01'",
458
+ "previous_period_start": "'2023-10-01'",
459
+ "previous_period_end": "'2024-01-01'",
460
+ "drift_ratio_threshold": 0.8
461
+ },
462
+ "can_vary": [],
463
+ "must_fix": [],
464
+ "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;"
465
+ }
466
+
467
+ Repair context:
468
+ {}
Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_0b730db30452939e/cli/sql_response_attempt_1.raw.txt ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {"type":"thread.started","thread_id":"019e40e8-337e-7670-a81c-f8108ff7f8c8"}
2
+ {"type":"turn.started"}
3
+ {"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_window_partition_avg.\\nSELECT DISTINCT \\\"Class\\\",\\n AVG(CAST(\\\"V24\\\" AS REAL)) OVER (PARTITION BY \\\"Class\\\") AS avg_measure\\nFROM \\\"n16\\\"\\nORDER BY avg_measure DESC;\",\"notes\":\"Used the provided Window Partition Average template with group_col=\\\"Class\\\" and measure_col=\\\"V24\\\". CAST to REAL is included because the SQLite schema stores numeric-looking fields as TEXT.\"}"}}
4
+ {"type":"turn.completed","usage":{"input_tokens":17117,"cached_input_tokens":15744,"output_tokens":527,"reasoning_output_tokens":424}}
Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_0b730db30452939e/cli/sql_response_attempt_1.txt ADDED
@@ -0,0 +1 @@
 
 
1
+ {"sql":"-- template_id: tpl_m4_window_partition_avg.\nSELECT DISTINCT \"Class\",\n AVG(CAST(\"V24\" AS REAL)) OVER (PARTITION BY \"Class\") AS avg_measure\nFROM \"n16\"\nORDER BY avg_measure DESC;","notes":"Used the provided Window Partition Average template with group_col=\"Class\" and measure_col=\"V24\". CAST to REAL is included because the SQLite schema stores numeric-looking fields as TEXT."}
Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_0b730db30452939e/cli/sql_stderr_attempt_1.txt ADDED
File without changes
Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_0bc2bc172af0110b/final_answer.txt ADDED
@@ -0,0 +1,2 @@
 
 
 
1
+ SQL executed successfully for: Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=Class.
2
+ Result preview: [{"Class": "0", "row_count": 284315}, {"Class": "1", "row_count": 492}]
Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_0bc2bc172af0110b/generated_sql.sql ADDED
@@ -0,0 +1,17 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ -- sql_source_version: v2
2
+ -- sql_source_label: v2_current
3
+ -- sql_source_run_id: v2_cli_20260502_081223_c
4
+ -- sql_source_dataset_id: n16
5
+ -- family_id: subgroup_structure
6
+ -- canonical_subitem_id: subgroup_size_stability
7
+ -- intended_facet_id: subgroup_distribution_shift
8
+ -- variant_semantic_role: count_distribution
9
+ -- template_id: tpl_clickbench_group_count
10
+ -- query_record_id: v2q_n16_0bc2bc172af0110b
11
+ -- problem_id: v2p_n16_2d40cba77b8493a7
12
+ -- realization_mode: agent
13
+ -- source_kind: agent
14
+ SELECT "Class", COUNT(*) AS "row_count"
15
+ FROM "n16"
16
+ GROUP BY "Class"
17
+ ORDER BY "row_count" DESC;
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1
+ You are generating one SQLite SELECT query for a single-table SQL QA task.
2
+ Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
3
+ Rules:
4
+ - Use only the provided table and columns.
5
+ - Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
6
+ - Prefer the planned template and bound roles when provided.
7
+ - Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
8
+ - Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
9
+ - Quote identifiers with double quotes.
10
+ - Return no markdown and no extra prose.
11
+
12
+ Dataset context:
13
+ Dataset context for SQL QA:
14
+ - dataset_id: n16
15
+ - dataset_name: Creditcardfraud
16
+ - table_name: n16
17
+ - table_layout: single-table dataset (do not assume joins).
18
+ - row_semantics: One row is one tabular observation with 30 feature columns and target `Class`.
19
+ - task_type: classification
20
+ - target_column: Class
21
+ - main_row_count: 284807
22
+ - important_fields:
23
+ - Time: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Time.
24
+ - V1: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V1.
25
+ - V2: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V2.
26
+ - V3: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V3.
27
+ - V4: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V4.
28
+ - V5: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V5.
29
+ - V6: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V6.
30
+ - V7: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V7.
31
+ - V8: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V8.
32
+ - V9: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V9.
33
+ - V10: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V10.
34
+ - V11: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V11.
35
+ - V12: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V12.
36
+ - V13: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V13.
37
+ - V14: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V14.
38
+ - V15: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V15.
39
+ - V16: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V16.
40
+ - V17: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V17.
41
+ - V18: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V18.
42
+ - V19: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V19.
43
+ - V20: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V20.
44
+ - V21: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V21.
45
+ - V22: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V22.
46
+ - V23: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V23.
47
+ - V24: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V24.
48
+ - V25: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V25.
49
+ - V26: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V26.
50
+ - V27: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V27.
51
+ - V28: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V28.
52
+ - Amount: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Amount.
53
+ - Class: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class.
54
+ - useful_field_combinations: [['Class', 'Time', 'Class'], ['Time', 'V1', 'Class']]
55
+ - fields_requiring_caution: ['Class', 'Time', 'V1', 'V2']
56
+ - source_url: https://www.kaggle.com/datasets/mlg-ulb/creditcardfraud
57
+
58
+ SQLite schema snapshot:
59
+ {
60
+ "table_name": "n16",
61
+ "quoted_table_name": "\"n16\"",
62
+ "row_count": 284807,
63
+ "columns": [
64
+ {
65
+ "name": "Time",
66
+ "type": "TEXT",
67
+ "notnull": false,
68
+ "pk": false
69
+ },
70
+ {
71
+ "name": "V1",
72
+ "type": "TEXT",
73
+ "notnull": false,
74
+ "pk": false
75
+ },
76
+ {
77
+ "name": "V2",
78
+ "type": "TEXT",
79
+ "notnull": false,
80
+ "pk": false
81
+ },
82
+ {
83
+ "name": "V3",
84
+ "type": "TEXT",
85
+ "notnull": false,
86
+ "pk": false
87
+ },
88
+ {
89
+ "name": "V4",
90
+ "type": "TEXT",
91
+ "notnull": false,
92
+ "pk": false
93
+ },
94
+ {
95
+ "name": "V5",
96
+ "type": "TEXT",
97
+ "notnull": false,
98
+ "pk": false
99
+ },
100
+ {
101
+ "name": "V6",
102
+ "type": "TEXT",
103
+ "notnull": false,
104
+ "pk": false
105
+ },
106
+ {
107
+ "name": "V7",
108
+ "type": "TEXT",
109
+ "notnull": false,
110
+ "pk": false
111
+ },
112
+ {
113
+ "name": "V8",
114
+ "type": "TEXT",
115
+ "notnull": false,
116
+ "pk": false
117
+ },
118
+ {
119
+ "name": "V9",
120
+ "type": "TEXT",
121
+ "notnull": false,
122
+ "pk": false
123
+ },
124
+ {
125
+ "name": "V10",
126
+ "type": "TEXT",
127
+ "notnull": false,
128
+ "pk": false
129
+ },
130
+ {
131
+ "name": "V11",
132
+ "type": "TEXT",
133
+ "notnull": false,
134
+ "pk": false
135
+ },
136
+ {
137
+ "name": "V12",
138
+ "type": "TEXT",
139
+ "notnull": false,
140
+ "pk": false
141
+ },
142
+ {
143
+ "name": "V13",
144
+ "type": "TEXT",
145
+ "notnull": false,
146
+ "pk": false
147
+ },
148
+ {
149
+ "name": "V14",
150
+ "type": "TEXT",
151
+ "notnull": false,
152
+ "pk": false
153
+ },
154
+ {
155
+ "name": "V15",
156
+ "type": "TEXT",
157
+ "notnull": false,
158
+ "pk": false
159
+ },
160
+ {
161
+ "name": "V16",
162
+ "type": "TEXT",
163
+ "notnull": false,
164
+ "pk": false
165
+ },
166
+ {
167
+ "name": "V17",
168
+ "type": "TEXT",
169
+ "notnull": false,
170
+ "pk": false
171
+ },
172
+ {
173
+ "name": "V18",
174
+ "type": "TEXT",
175
+ "notnull": false,
176
+ "pk": false
177
+ },
178
+ {
179
+ "name": "V19",
180
+ "type": "TEXT",
181
+ "notnull": false,
182
+ "pk": false
183
+ },
184
+ {
185
+ "name": "V20",
186
+ "type": "TEXT",
187
+ "notnull": false,
188
+ "pk": false
189
+ },
190
+ {
191
+ "name": "V21",
192
+ "type": "TEXT",
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+ "notnull": false,
194
+ "pk": false
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+ },
196
+ {
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+ "name": "V22",
198
+ "type": "TEXT",
199
+ "notnull": false,
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+ "pk": false
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+ },
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+ {
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+ "name": "V23",
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+ "type": "TEXT",
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+ "notnull": false,
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+ "pk": false
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+ },
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+ {
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+ "name": "V24",
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+ "type": "TEXT",
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+ "notnull": false,
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+ "pk": false
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+ },
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+ {
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+ "name": "V25",
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+ "type": "TEXT",
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+ "notnull": false,
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+ "pk": false
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+ },
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+ {
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+ "name": "V26",
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+ "type": "TEXT",
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+ "notnull": false,
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+ "pk": false
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+ },
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+ {
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+ "type": "TEXT",
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+ "notnull": false,
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+ "pk": false
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+ },
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+ {
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+ "type": "TEXT",
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+ "notnull": false,
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+ "pk": false
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+ },
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+ {
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+ "name": "Amount",
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+ "type": "TEXT",
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+ "notnull": false,
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+ "pk": false
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+ },
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+ {
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+ "name": "Class",
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+ "type": "TEXT",
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+ "notnull": false,
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+ "pk": false
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+ }
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+ ],
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+ "sample_rows": [
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+ {
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+ "Time": "0",
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+ "V1": "-1.3598071336738",
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+ "V2": "-0.0727811733098497",
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+ "V3": "2.53634673796914",
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+ "V4": "1.37815522427443",
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+ "V5": "-0.338320769942518",
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+ "V6": "0.462387777762292",
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+ "V7": "0.239598554061257",
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+ "V8": "0.0986979012610507",
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+ "V9": "0.363786969611213",
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+ "V10": "0.0907941719789316",
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+ "V11": "-0.551599533260813",
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+ "V12": "-0.617800855762348",
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+ "V13": "-0.991389847235408",
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+ "V14": "-0.311169353699879",
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+ "V15": "1.46817697209427",
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+ "V16": "-0.470400525259478",
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+ "V17": "0.207971241929242",
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+ "V18": "0.0257905801985591",
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+ "V19": "0.403992960255733",
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+ "V20": "0.251412098239705",
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+ "V21": "-0.018306777944153",
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+ "V22": "0.277837575558899",
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+ "V23": "-0.110473910188767",
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+ "Amount": "149.62",
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+ "Class": "0"
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+ },
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+ {
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+ "Time": "0",
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+ "V2": "0.26615071205963",
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+ "V8": "0.0851016549148104",
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+ "V10": "-0.166974414004614",
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+ "V11": "1.61272666105479",
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+ "V12": "1.06523531137287",
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+ "V13": "0.48909501589608",
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+ "V14": "-0.143772296441519",
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+ "V15": "0.635558093258208",
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+ "V16": "0.463917041022171",
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+ "V17": "-0.114804663102346",
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+ "V20": "-0.0690831352230203",
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+ "V21": "-0.225775248033138",
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+ "V22": "-0.638671952771851",
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+ "V23": "0.101288021253234",
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+ "V26": "0.125894532368176",
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+ "V27": "-0.00898309914322813",
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+ "V28": "0.0147241691924927",
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+ "Amount": "2.69",
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+ "Class": "0"
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+ },
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+ {
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+ "Time": "1",
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+ "V1": "-1.35835406159823",
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+ "V2": "-1.34016307473609",
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+ "V3": "1.77320934263119",
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+ "V4": "0.379779593034328",
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+ "V5": "-0.503198133318193",
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+ "V6": "1.80049938079263",
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+ "V7": "0.791460956450422",
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+ "V8": "0.247675786588991",
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+ "V9": "-1.51465432260583",
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+ "V10": "0.207642865216696",
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+ "V11": "0.624501459424895",
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+ "V13": "0.717292731410831",
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+ "V15": "2.34586494901581",
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+ "Amount": "378.66",
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+ },
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+ {
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+ "Time": "1",
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+ "V2": "-0.185226008082898",
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+ "V3": "1.79299333957872",
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+ "V4": "-0.863291275036453",
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+ "V6": "1.24720316752486",
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+ "V28": "0.0614576285006353",
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+ "Amount": "123.5",
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+ "Class": "0"
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+ },
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+ {
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+ "Time": "2",
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+ "V1": "-1.15823309349523",
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+ "V2": "0.877736754848451",
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+ "V3": "1.548717846511",
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+ "V4": "0.403033933955121",
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+ "V6": "0.0959214624684256",
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+ "V9": "0.817739308235294",
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+ "V10": "0.753074431976354",
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+ "V12": "0.53819555014995",
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+ "V13": "1.3458515932154",
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+ "V14": "-1.11966983471731",
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+ "V15": "0.175121130008994",
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+ "V16": "-0.451449182813529",
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+ "V17": "-0.237033239362776",
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+ "V18": "-0.0381947870352842",
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+ "V20": "0.408542360392758",
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+ "V21": "-0.00943069713232919",
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+ "V22": "0.79827849458971",
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+ "V24": "0.141266983824769",
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+ "V28": "0.215153147499206",
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+ "Amount": "69.99",
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+ "Class": "0"
416
+ }
417
+ ]
418
+ }
419
+
420
+ Shortlisted templates:
421
+ [
422
+ {
423
+ "template_id": "tpl_m4_window_partition_avg",
424
+ "template_name": "Window Partition Average",
425
+ "primary_family": "conditional_dependency_structure",
426
+ "portability": "partial",
427
+ "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;",
428
+ "required_roles": [
429
+ "group_col",
430
+ "measure_col"
431
+ ]
432
+ }
433
+ ]
434
+
435
+ Problem instance:
436
+ {
437
+ "dataset_id": "n16",
438
+ "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=Class, measure_col=V19.",
439
+ "planned_template_id": "tpl_m4_window_partition_avg",
440
+ "bindings": {
441
+ "group_col": "Class",
442
+ "measure_col": "V19",
443
+ "top_k": 14,
444
+ "top_n": 4,
445
+ "num_tiles": 10,
446
+ "percentile_value": 0.9,
447
+ "z_threshold": 2.0,
448
+ "fraction_threshold": 0.1,
449
+ "baseline_multiplier": 1.5,
450
+ "baseline_fraction": 0.1,
451
+ "min_group_size": 5,
452
+ "min_support": 5,
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+ "measure_threshold": 0.382126,
454
+ "time_grain": "month",
455
+ "lookback_rows": 3,
456
+ "current_period_start": "'2024-01-01'",
457
+ "current_period_end": "'2024-04-01'",
458
+ "previous_period_start": "'2023-10-01'",
459
+ "previous_period_end": "'2024-01-01'",
460
+ "drift_ratio_threshold": 0.8
461
+ },
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+ "can_vary": [],
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+ "must_fix": [],
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+ "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;"
465
+ }
466
+
467
+ Repair context:
468
+ {}
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+ "note": "Executed through a local AI CLI with structured usage metadata."
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+ }
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1
+ You are generating one SQLite SELECT query for a single-table SQL QA task.
2
+ Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
3
+ Rules:
4
+ - Use only the provided table and columns.
5
+ - Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
6
+ - Prefer the planned template and bound roles when provided.
7
+ - Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
8
+ - Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
9
+ - Quote identifiers with double quotes.
10
+ - Return no markdown and no extra prose.
11
+
12
+ Dataset context:
13
+ Dataset context for SQL QA:
14
+ - dataset_id: n16
15
+ - dataset_name: Creditcardfraud
16
+ - table_name: n16
17
+ - table_layout: single-table dataset (do not assume joins).
18
+ - row_semantics: One row is one tabular observation with 30 feature columns and target `Class`.
19
+ - task_type: classification
20
+ - target_column: Class
21
+ - main_row_count: 284807
22
+ - important_fields:
23
+ - Time: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Time.
24
+ - V1: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V1.
25
+ - V2: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V2.
26
+ - V3: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V3.
27
+ - V4: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V4.
28
+ - V5: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V5.
29
+ - V6: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V6.
30
+ - V7: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V7.
31
+ - V8: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V8.
32
+ - V9: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V9.
33
+ - V10: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V10.
34
+ - V11: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V11.
35
+ - V12: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V12.
36
+ - V13: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V13.
37
+ - V14: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V14.
38
+ - V15: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V15.
39
+ - V16: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V16.
40
+ - V17: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V17.
41
+ - V18: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V18.
42
+ - V19: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V19.
43
+ - V20: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V20.
44
+ - V21: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V21.
45
+ - V22: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V22.
46
+ - V23: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V23.
47
+ - V24: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V24.
48
+ - V25: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V25.
49
+ - V26: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V26.
50
+ - V27: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V27.
51
+ - V28: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V28.
52
+ - Amount: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Amount.
53
+ - Class: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class.
54
+ - useful_field_combinations: [['Class', 'Time', 'Class'], ['Time', 'V1', 'Class']]
55
+ - fields_requiring_caution: ['Class', 'Time', 'V1', 'V2']
56
+ - source_url: https://www.kaggle.com/datasets/mlg-ulb/creditcardfraud
57
+
58
+ SQLite schema snapshot:
59
+ {
60
+ "table_name": "n16",
61
+ "quoted_table_name": "\"n16\"",
62
+ "row_count": 284807,
63
+ "columns": [
64
+ {
65
+ "name": "Time",
66
+ "type": "TEXT",
67
+ "notnull": false,
68
+ "pk": false
69
+ },
70
+ {
71
+ "name": "V1",
72
+ "type": "TEXT",
73
+ "notnull": false,
74
+ "pk": false
75
+ },
76
+ {
77
+ "name": "V2",
78
+ "type": "TEXT",
79
+ "notnull": false,
80
+ "pk": false
81
+ },
82
+ {
83
+ "name": "V3",
84
+ "type": "TEXT",
85
+ "notnull": false,
86
+ "pk": false
87
+ },
88
+ {
89
+ "name": "V4",
90
+ "type": "TEXT",
91
+ "notnull": false,
92
+ "pk": false
93
+ },
94
+ {
95
+ "name": "V5",
96
+ "type": "TEXT",
97
+ "notnull": false,
98
+ "pk": false
99
+ },
100
+ {
101
+ "name": "V6",
102
+ "type": "TEXT",
103
+ "notnull": false,
104
+ "pk": false
105
+ },
106
+ {
107
+ "name": "V7",
108
+ "type": "TEXT",
109
+ "notnull": false,
110
+ "pk": false
111
+ },
112
+ {
113
+ "name": "V8",
114
+ "type": "TEXT",
115
+ "notnull": false,
116
+ "pk": false
117
+ },
118
+ {
119
+ "name": "V9",
120
+ "type": "TEXT",
121
+ "notnull": false,
122
+ "pk": false
123
+ },
124
+ {
125
+ "name": "V10",
126
+ "type": "TEXT",
127
+ "notnull": false,
128
+ "pk": false
129
+ },
130
+ {
131
+ "name": "V11",
132
+ "type": "TEXT",
133
+ "notnull": false,
134
+ "pk": false
135
+ },
136
+ {
137
+ "name": "V12",
138
+ "type": "TEXT",
139
+ "notnull": false,
140
+ "pk": false
141
+ },
142
+ {
143
+ "name": "V13",
144
+ "type": "TEXT",
145
+ "notnull": false,
146
+ "pk": false
147
+ },
148
+ {
149
+ "name": "V14",
150
+ "type": "TEXT",
151
+ "notnull": false,
152
+ "pk": false
153
+ },
154
+ {
155
+ "name": "V15",
156
+ "type": "TEXT",
157
+ "notnull": false,
158
+ "pk": false
159
+ },
160
+ {
161
+ "name": "V16",
162
+ "type": "TEXT",
163
+ "notnull": false,
164
+ "pk": false
165
+ },
166
+ {
167
+ "name": "V17",
168
+ "type": "TEXT",
169
+ "notnull": false,
170
+ "pk": false
171
+ },
172
+ {
173
+ "name": "V18",
174
+ "type": "TEXT",
175
+ "notnull": false,
176
+ "pk": false
177
+ },
178
+ {
179
+ "name": "V19",
180
+ "type": "TEXT",
181
+ "notnull": false,
182
+ "pk": false
183
+ },
184
+ {
185
+ "name": "V20",
186
+ "type": "TEXT",
187
+ "notnull": false,
188
+ "pk": false
189
+ },
190
+ {
191
+ "name": "V21",
192
+ "type": "TEXT",
193
+ "notnull": false,
194
+ "pk": false
195
+ },
196
+ {
197
+ "name": "V22",
198
+ "type": "TEXT",
199
+ "notnull": false,
200
+ "pk": false
201
+ },
202
+ {
203
+ "name": "V23",
204
+ "type": "TEXT",
205
+ "notnull": false,
206
+ "pk": false
207
+ },
208
+ {
209
+ "name": "V24",
210
+ "type": "TEXT",
211
+ "notnull": false,
212
+ "pk": false
213
+ },
214
+ {
215
+ "name": "V25",
216
+ "type": "TEXT",
217
+ "notnull": false,
218
+ "pk": false
219
+ },
220
+ {
221
+ "name": "V26",
222
+ "type": "TEXT",
223
+ "notnull": false,
224
+ "pk": false
225
+ },
226
+ {
227
+ "name": "V27",
228
+ "type": "TEXT",
229
+ "notnull": false,
230
+ "pk": false
231
+ },
232
+ {
233
+ "name": "V28",
234
+ "type": "TEXT",
235
+ "notnull": false,
236
+ "pk": false
237
+ },
238
+ {
239
+ "name": "Amount",
240
+ "type": "TEXT",
241
+ "notnull": false,
242
+ "pk": false
243
+ },
244
+ {
245
+ "name": "Class",
246
+ "type": "TEXT",
247
+ "notnull": false,
248
+ "pk": false
249
+ }
250
+ ],
251
+ "sample_rows": [
252
+ {
253
+ "Time": "0",
254
+ "V1": "-1.3598071336738",
255
+ "V2": "-0.0727811733098497",
256
+ "V3": "2.53634673796914",
257
+ "V4": "1.37815522427443",
258
+ "V5": "-0.338320769942518",
259
+ "V6": "0.462387777762292",
260
+ "V7": "0.239598554061257",
261
+ "V8": "0.0986979012610507",
262
+ "V9": "0.363786969611213",
263
+ "V10": "0.0907941719789316",
264
+ "V11": "-0.551599533260813",
265
+ "V12": "-0.617800855762348",
266
+ "V13": "-0.991389847235408",
267
+ "V14": "-0.311169353699879",
268
+ "V15": "1.46817697209427",
269
+ "V16": "-0.470400525259478",
270
+ "V17": "0.207971241929242",
271
+ "V18": "0.0257905801985591",
272
+ "V19": "0.403992960255733",
273
+ "V20": "0.251412098239705",
274
+ "V21": "-0.018306777944153",
275
+ "V22": "0.277837575558899",
276
+ "V23": "-0.110473910188767",
277
+ "V24": "0.0669280749146731",
278
+ "V25": "0.128539358273528",
279
+ "V26": "-0.189114843888824",
280
+ "V27": "0.133558376740387",
281
+ "V28": "-0.0210530534538215",
282
+ "Amount": "149.62",
283
+ "Class": "0"
284
+ },
285
+ {
286
+ "Time": "0",
287
+ "V1": "1.19185711131486",
288
+ "V2": "0.26615071205963",
289
+ "V3": "0.16648011335321",
290
+ "V4": "0.448154078460911",
291
+ "V5": "0.0600176492822243",
292
+ "V6": "-0.0823608088155687",
293
+ "V7": "-0.0788029833323113",
294
+ "V8": "0.0851016549148104",
295
+ "V9": "-0.255425128109186",
296
+ "V10": "-0.166974414004614",
297
+ "V11": "1.61272666105479",
298
+ "V12": "1.06523531137287",
299
+ "V13": "0.48909501589608",
300
+ "V14": "-0.143772296441519",
301
+ "V15": "0.635558093258208",
302
+ "V16": "0.463917041022171",
303
+ "V17": "-0.114804663102346",
304
+ "V18": "-0.183361270123994",
305
+ "V19": "-0.145783041325259",
306
+ "V20": "-0.0690831352230203",
307
+ "V21": "-0.225775248033138",
308
+ "V22": "-0.638671952771851",
309
+ "V23": "0.101288021253234",
310
+ "V24": "-0.339846475529127",
311
+ "V25": "0.167170404418143",
312
+ "V26": "0.125894532368176",
313
+ "V27": "-0.00898309914322813",
314
+ "V28": "0.0147241691924927",
315
+ "Amount": "2.69",
316
+ "Class": "0"
317
+ },
318
+ {
319
+ "Time": "1",
320
+ "V1": "-1.35835406159823",
321
+ "V2": "-1.34016307473609",
322
+ "V3": "1.77320934263119",
323
+ "V4": "0.379779593034328",
324
+ "V5": "-0.503198133318193",
325
+ "V6": "1.80049938079263",
326
+ "V7": "0.791460956450422",
327
+ "V8": "0.247675786588991",
328
+ "V9": "-1.51465432260583",
329
+ "V10": "0.207642865216696",
330
+ "V11": "0.624501459424895",
331
+ "V12": "0.066083685268831",
332
+ "V13": "0.717292731410831",
333
+ "V14": "-0.165945922763554",
334
+ "V15": "2.34586494901581",
335
+ "V16": "-2.89008319444231",
336
+ "V17": "1.10996937869599",
337
+ "V18": "-0.121359313195888",
338
+ "V19": "-2.26185709530414",
339
+ "V20": "0.524979725224404",
340
+ "V21": "0.247998153469754",
341
+ "V22": "0.771679401917229",
342
+ "V23": "0.909412262347719",
343
+ "V24": "-0.689280956490685",
344
+ "V25": "-0.327641833735251",
345
+ "V26": "-0.139096571514147",
346
+ "V27": "-0.0553527940384261",
347
+ "V28": "-0.0597518405929204",
348
+ "Amount": "378.66",
349
+ "Class": "0"
350
+ },
351
+ {
352
+ "Time": "1",
353
+ "V1": "-0.966271711572087",
354
+ "V2": "-0.185226008082898",
355
+ "V3": "1.79299333957872",
356
+ "V4": "-0.863291275036453",
357
+ "V5": "-0.0103088796030823",
358
+ "V6": "1.24720316752486",
359
+ "V7": "0.23760893977178",
360
+ "V8": "0.377435874652262",
361
+ "V9": "-1.38702406270197",
362
+ "V10": "-0.0549519224713749",
363
+ "V11": "-0.226487263835401",
364
+ "V12": "0.178228225877303",
365
+ "V13": "0.507756869957169",
366
+ "V14": "-0.28792374549456",
367
+ "V15": "-0.631418117709045",
368
+ "V16": "-1.0596472454325",
369
+ "V17": "-0.684092786345479",
370
+ "V18": "1.96577500349538",
371
+ "V19": "-1.2326219700892",
372
+ "V20": "-0.208037781160366",
373
+ "V21": "-0.108300452035545",
374
+ "V22": "0.00527359678253453",
375
+ "V23": "-0.190320518742841",
376
+ "V24": "-1.17557533186321",
377
+ "V25": "0.647376034602038",
378
+ "V26": "-0.221928844458407",
379
+ "V27": "0.0627228487293033",
380
+ "V28": "0.0614576285006353",
381
+ "Amount": "123.5",
382
+ "Class": "0"
383
+ },
384
+ {
385
+ "Time": "2",
386
+ "V1": "-1.15823309349523",
387
+ "V2": "0.877736754848451",
388
+ "V3": "1.548717846511",
389
+ "V4": "0.403033933955121",
390
+ "V5": "-0.407193377311653",
391
+ "V6": "0.0959214624684256",
392
+ "V7": "0.592940745385545",
393
+ "V8": "-0.270532677192282",
394
+ "V9": "0.817739308235294",
395
+ "V10": "0.753074431976354",
396
+ "V11": "-0.822842877946363",
397
+ "V12": "0.53819555014995",
398
+ "V13": "1.3458515932154",
399
+ "V14": "-1.11966983471731",
400
+ "V15": "0.175121130008994",
401
+ "V16": "-0.451449182813529",
402
+ "V17": "-0.237033239362776",
403
+ "V18": "-0.0381947870352842",
404
+ "V19": "0.803486924960175",
405
+ "V20": "0.408542360392758",
406
+ "V21": "-0.00943069713232919",
407
+ "V22": "0.79827849458971",
408
+ "V23": "-0.137458079619063",
409
+ "V24": "0.141266983824769",
410
+ "V25": "-0.206009587619756",
411
+ "V26": "0.502292224181569",
412
+ "V27": "0.219422229513348",
413
+ "V28": "0.215153147499206",
414
+ "Amount": "69.99",
415
+ "Class": "0"
416
+ }
417
+ ]
418
+ }
419
+
420
+ Shortlisted templates:
421
+ [
422
+ {
423
+ "template_id": "tpl_tpch_relative_total_threshold",
424
+ "template_name": "Relative-to-Total Extreme Threshold",
425
+ "primary_family": "tail_rarity_structure",
426
+ "portability": "partial",
427
+ "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;",
428
+ "required_roles": [
429
+ "group_col",
430
+ "measure_col"
431
+ ]
432
+ }
433
+ ]
434
+
435
+ Problem instance:
436
+ {
437
+ "dataset_id": "n16",
438
+ "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=Class, measure_col=V19.",
439
+ "planned_template_id": "tpl_tpch_relative_total_threshold",
440
+ "bindings": {
441
+ "group_col": "Class",
442
+ "measure_col": "V19",
443
+ "top_k": 19,
444
+ "top_n": 7,
445
+ "num_tiles": 10,
446
+ "percentile_value": 0.95,
447
+ "z_threshold": 2.0,
448
+ "fraction_threshold": 0.05,
449
+ "baseline_multiplier": 1.75,
450
+ "baseline_fraction": 0.1,
451
+ "min_group_size": 5,
452
+ "min_support": 4,
453
+ "measure_threshold": 0.270459,
454
+ "time_grain": "month",
455
+ "lookback_rows": 3,
456
+ "current_period_start": "'2024-01-01'",
457
+ "current_period_end": "'2024-04-01'",
458
+ "previous_period_start": "'2023-10-01'",
459
+ "previous_period_end": "'2024-01-01'",
460
+ "drift_ratio_threshold": 0.8
461
+ },
462
+ "can_vary": [],
463
+ "must_fix": [],
464
+ "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;"
465
+ }
466
+
467
+ Repair context:
468
+ {}
Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_10c10ba908d1de1a/cli/sql_response_attempt_1.raw.txt ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
1
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+ {"type":"turn.started"}
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+ {"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1986918, Requested 17877. Please try again in 143ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"}
4
+ {"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"Class\\\", SUM(CAST(\\\"V19\\\" AS REAL)) AS group_value\\n FROM \\\"n16\\\"\\n GROUP BY \\\"Class\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"Class\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\",\"notes\":\"Used the planned Relative-to-Total Extreme Threshold template with group_col=\\\"Class\\\" and measure_col=\\\"V19\\\". CAST(\\\"V19\\\" AS REAL) is applied because the SQLite schema stores feature columns as TEXT.\"}"}}
5
+ {"type":"turn.completed","usage":{"input_tokens":17242,"cached_input_tokens":12032,"output_tokens":480,"reasoning_output_tokens":311}}