TabQueryBench commited on
Commit
0af1354
·
verified ·
1 Parent(s): 5e8f7c6

Add files using upload-large-folder tool

Browse files
This view is limited to 50 files because it contains too many changes.   See raw diff
Files changed (50) hide show
  1. Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_015ff1cbcd67ad40/cli/sql_attempt_1.metadata.json +43 -0
  2. Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_015ff1cbcd67ad40/cli/sql_attempt_2.metadata.json +43 -0
  3. Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_015ff1cbcd67ad40/cli/sql_prompt_attempt_1.txt +408 -0
  4. Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_015ff1cbcd67ad40/cli/sql_prompt_attempt_2.txt +408 -0
  5. Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_015ff1cbcd67ad40/cli/sql_response_attempt_1.raw.txt +4 -0
  6. Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_015ff1cbcd67ad40/cli/sql_response_attempt_1.txt +4 -0
  7. Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_015ff1cbcd67ad40/cli/sql_response_attempt_2.raw.txt +4 -0
  8. Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_015ff1cbcd67ad40/cli/sql_response_attempt_2.txt +4 -0
  9. Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_015ff1cbcd67ad40/cli/sql_stderr_attempt_1.txt +0 -0
  10. Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_015ff1cbcd67ad40/cli/sql_stderr_attempt_2.txt +0 -0
  11. Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_039c7a8fb24229a8/cli/sql_attempt_1.metadata.json +43 -0
  12. Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_039c7a8fb24229a8/cli/sql_attempt_2.metadata.json +43 -0
  13. Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_039c7a8fb24229a8/cli/sql_prompt_attempt_1.txt +406 -0
  14. Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_039c7a8fb24229a8/cli/sql_prompt_attempt_2.txt +406 -0
  15. Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_039c7a8fb24229a8/cli/sql_response_attempt_1.raw.txt +4 -0
  16. Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_039c7a8fb24229a8/cli/sql_response_attempt_1.txt +4 -0
  17. Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_039c7a8fb24229a8/cli/sql_response_attempt_2.raw.txt +4 -0
  18. Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_039c7a8fb24229a8/cli/sql_response_attempt_2.txt +4 -0
  19. Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_039c7a8fb24229a8/cli/sql_stderr_attempt_1.txt +0 -0
  20. Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_039c7a8fb24229a8/cli/sql_stderr_attempt_2.txt +0 -0
  21. Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_0570e5156dbdaf3f/cli/conversation.jsonl +2 -0
  22. Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_0570e5156dbdaf3f/cli/session_summary.json +25 -0
  23. Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_0570e5156dbdaf3f/cli/sql_attempt_1.metadata.json +45 -0
  24. Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_0570e5156dbdaf3f/cli/sql_prompt_attempt_1.txt +406 -0
  25. Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_0570e5156dbdaf3f/cli/sql_response_attempt_1.raw.txt +4 -0
  26. Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_0570e5156dbdaf3f/cli/sql_response_attempt_1.txt +1 -0
  27. Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_0570e5156dbdaf3f/cli/sql_stderr_attempt_1.txt +0 -0
  28. Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_06eda542eccea118/cli/sql_attempt_1.metadata.json +43 -0
  29. Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_06eda542eccea118/cli/sql_attempt_2.metadata.json +43 -0
  30. Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_06eda542eccea118/cli/sql_prompt_attempt_1.txt +408 -0
  31. Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_06eda542eccea118/cli/sql_prompt_attempt_2.txt +408 -0
  32. Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_06eda542eccea118/cli/sql_response_attempt_1.raw.txt +4 -0
  33. Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_06eda542eccea118/cli/sql_response_attempt_1.txt +4 -0
  34. Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_06eda542eccea118/cli/sql_response_attempt_2.raw.txt +4 -0
  35. Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_06eda542eccea118/cli/sql_response_attempt_2.txt +4 -0
  36. Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_06eda542eccea118/cli/sql_stderr_attempt_1.txt +0 -0
  37. Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_06eda542eccea118/cli/sql_stderr_attempt_2.txt +0 -0
  38. Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_073ac49104a29b80/cli/sql_attempt_1.metadata.json +43 -0
  39. Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_073ac49104a29b80/cli/sql_attempt_2.metadata.json +43 -0
  40. Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_073ac49104a29b80/cli/sql_prompt_attempt_1.txt +408 -0
  41. Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_073ac49104a29b80/cli/sql_prompt_attempt_2.txt +408 -0
  42. Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_073ac49104a29b80/cli/sql_response_attempt_1.raw.txt +4 -0
  43. Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_073ac49104a29b80/cli/sql_response_attempt_1.txt +4 -0
  44. Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_073ac49104a29b80/cli/sql_response_attempt_2.raw.txt +4 -0
  45. Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_073ac49104a29b80/cli/sql_response_attempt_2.txt +4 -0
  46. Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_073ac49104a29b80/cli/sql_stderr_attempt_1.txt +0 -0
  47. Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_073ac49104a29b80/cli/sql_stderr_attempt_2.txt +0 -0
  48. Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_0d4f622a578e2e2d/cli/sql_attempt_1.metadata.json +43 -0
  49. Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_0d4f622a578e2e2d/cli/sql_attempt_2.metadata.json +43 -0
  50. Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_0d4f622a578e2e2d/cli/sql_prompt_attempt_1.txt +411 -0
Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_015ff1cbcd67ad40/cli/sql_attempt_1.metadata.json ADDED
@@ -0,0 +1,43 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "attempt": 1,
3
+ "phase": "sql_generation",
4
+ "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
5
+ "started_at": "2026-05-19T16:19:01.477853+00:00",
6
+ "ended_at": "2026-05-19T16:19:04.427118+00:00",
7
+ "elapsed_ms": 2949.24,
8
+ "returncode": 1,
9
+ "prompt_metrics": {
10
+ "chars": 14700,
11
+ "bytes_utf8": 14700,
12
+ "lines": 408,
13
+ "estimated_tokens": null
14
+ },
15
+ "stdout_metrics": {
16
+ "chars": 281,
17
+ "bytes_utf8": 281,
18
+ "lines": 4,
19
+ "estimated_tokens": null
20
+ },
21
+ "stderr_metrics": {
22
+ "chars": 0,
23
+ "bytes_utf8": 0,
24
+ "lines": 0,
25
+ "estimated_tokens": null
26
+ },
27
+ "parsed_output": {
28
+ "format": "jsonl_events",
29
+ "text_metrics": {
30
+ "chars": 280,
31
+ "bytes_utf8": 280,
32
+ "lines": 4,
33
+ "estimated_tokens": null
34
+ },
35
+ "usage": {}
36
+ },
37
+ "status": "failed",
38
+ "error": "AI CLI command failed with exit code 1: ",
39
+ "prompt_path": "cli/sql_prompt_attempt_1.txt",
40
+ "response_path": "cli/sql_response_attempt_1.txt",
41
+ "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
42
+ "stderr_path": "cli/sql_stderr_attempt_1.txt"
43
+ }
Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_015ff1cbcd67ad40/cli/sql_attempt_2.metadata.json ADDED
@@ -0,0 +1,43 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "attempt": 2,
3
+ "phase": "sql_generation",
4
+ "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
5
+ "started_at": "2026-05-19T16:19:05.428776+00:00",
6
+ "ended_at": "2026-05-19T16:19:08.674961+00:00",
7
+ "elapsed_ms": 3246.15,
8
+ "returncode": 1,
9
+ "prompt_metrics": {
10
+ "chars": 14700,
11
+ "bytes_utf8": 14700,
12
+ "lines": 408,
13
+ "estimated_tokens": null
14
+ },
15
+ "stdout_metrics": {
16
+ "chars": 281,
17
+ "bytes_utf8": 281,
18
+ "lines": 4,
19
+ "estimated_tokens": null
20
+ },
21
+ "stderr_metrics": {
22
+ "chars": 0,
23
+ "bytes_utf8": 0,
24
+ "lines": 0,
25
+ "estimated_tokens": null
26
+ },
27
+ "parsed_output": {
28
+ "format": "jsonl_events",
29
+ "text_metrics": {
30
+ "chars": 280,
31
+ "bytes_utf8": 280,
32
+ "lines": 4,
33
+ "estimated_tokens": null
34
+ },
35
+ "usage": {}
36
+ },
37
+ "status": "failed",
38
+ "error": "AI CLI command failed with exit code 1: ",
39
+ "prompt_path": "cli/sql_prompt_attempt_2.txt",
40
+ "response_path": "cli/sql_response_attempt_2.txt",
41
+ "raw_response_path": "cli/sql_response_attempt_2.raw.txt",
42
+ "stderr_path": "cli/sql_stderr_attempt_2.txt"
43
+ }
Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_015ff1cbcd67ad40/cli/sql_prompt_attempt_1.txt ADDED
@@ -0,0 +1,408 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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: n7
15
+ - dataset_name: Anuran Calls Mfccs
16
+ - table_name: n7
17
+ - table_layout: single-table dataset (do not assume joins).
18
+ - row_semantics: One row is one tabular observation with 25 feature columns and target `Family`.
19
+ - task_type: classification
20
+ - target_column: Family
21
+ - main_row_count: 7195
22
+ - important_fields:
23
+ - MFCCs_ 1: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for MFCCs 1.
24
+ - MFCCs_ 2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 2.
25
+ - MFCCs_ 3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 3.
26
+ - MFCCs_ 4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 4.
27
+ - MFCCs_ 5: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 5.
28
+ - MFCCs_ 6: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 6.
29
+ - MFCCs_ 7: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 7.
30
+ - MFCCs_ 8: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 8.
31
+ - MFCCs_ 9: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 9.
32
+ - MFCCs_10: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 10.
33
+ - MFCCs_11: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 11.
34
+ - MFCCs_12: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 12.
35
+ - MFCCs_13: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 13.
36
+ - MFCCs_14: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 14.
37
+ - MFCCs_15: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 15.
38
+ - MFCCs_16: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 16.
39
+ - MFCCs_17: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 17.
40
+ - MFCCs_18: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 18.
41
+ - MFCCs_19: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 19.
42
+ - MFCCs_20: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 20.
43
+ - MFCCs_21: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 21.
44
+ - MFCCs_22: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 22.
45
+ - Family: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Family.
46
+ - Genus: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Genus.
47
+ - Species: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Species.
48
+ - RecordID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude'] desc=Identifier-like field for RecordID.
49
+ - useful_field_combinations: [['Family', 'Genus', 'Family'], ['Family', 'MFCCs_ 1', 'Family'], ['MFCCs_ 1', 'Genus', 'Family']]
50
+ - fields_requiring_caution: ['Family', 'MFCCs_ 1']
51
+ - source_url: https://archive.ics.uci.edu/dataset/406/anuran+calls+mfccs
52
+
53
+ SQLite schema snapshot:
54
+ {
55
+ "table_name": "n7",
56
+ "quoted_table_name": "\"n7\"",
57
+ "row_count": 7195,
58
+ "columns": [
59
+ {
60
+ "name": "MFCCs_ 1",
61
+ "type": "TEXT",
62
+ "notnull": false,
63
+ "pk": false
64
+ },
65
+ {
66
+ "name": "MFCCs_ 2",
67
+ "type": "TEXT",
68
+ "notnull": false,
69
+ "pk": false
70
+ },
71
+ {
72
+ "name": "MFCCs_ 3",
73
+ "type": "TEXT",
74
+ "notnull": false,
75
+ "pk": false
76
+ },
77
+ {
78
+ "name": "MFCCs_ 4",
79
+ "type": "TEXT",
80
+ "notnull": false,
81
+ "pk": false
82
+ },
83
+ {
84
+ "name": "MFCCs_ 5",
85
+ "type": "TEXT",
86
+ "notnull": false,
87
+ "pk": false
88
+ },
89
+ {
90
+ "name": "MFCCs_ 6",
91
+ "type": "TEXT",
92
+ "notnull": false,
93
+ "pk": false
94
+ },
95
+ {
96
+ "name": "MFCCs_ 7",
97
+ "type": "TEXT",
98
+ "notnull": false,
99
+ "pk": false
100
+ },
101
+ {
102
+ "name": "MFCCs_ 8",
103
+ "type": "TEXT",
104
+ "notnull": false,
105
+ "pk": false
106
+ },
107
+ {
108
+ "name": "MFCCs_ 9",
109
+ "type": "TEXT",
110
+ "notnull": false,
111
+ "pk": false
112
+ },
113
+ {
114
+ "name": "MFCCs_10",
115
+ "type": "TEXT",
116
+ "notnull": false,
117
+ "pk": false
118
+ },
119
+ {
120
+ "name": "MFCCs_11",
121
+ "type": "TEXT",
122
+ "notnull": false,
123
+ "pk": false
124
+ },
125
+ {
126
+ "name": "MFCCs_12",
127
+ "type": "TEXT",
128
+ "notnull": false,
129
+ "pk": false
130
+ },
131
+ {
132
+ "name": "MFCCs_13",
133
+ "type": "TEXT",
134
+ "notnull": false,
135
+ "pk": false
136
+ },
137
+ {
138
+ "name": "MFCCs_14",
139
+ "type": "TEXT",
140
+ "notnull": false,
141
+ "pk": false
142
+ },
143
+ {
144
+ "name": "MFCCs_15",
145
+ "type": "TEXT",
146
+ "notnull": false,
147
+ "pk": false
148
+ },
149
+ {
150
+ "name": "MFCCs_16",
151
+ "type": "TEXT",
152
+ "notnull": false,
153
+ "pk": false
154
+ },
155
+ {
156
+ "name": "MFCCs_17",
157
+ "type": "TEXT",
158
+ "notnull": false,
159
+ "pk": false
160
+ },
161
+ {
162
+ "name": "MFCCs_18",
163
+ "type": "TEXT",
164
+ "notnull": false,
165
+ "pk": false
166
+ },
167
+ {
168
+ "name": "MFCCs_19",
169
+ "type": "TEXT",
170
+ "notnull": false,
171
+ "pk": false
172
+ },
173
+ {
174
+ "name": "MFCCs_20",
175
+ "type": "TEXT",
176
+ "notnull": false,
177
+ "pk": false
178
+ },
179
+ {
180
+ "name": "MFCCs_21",
181
+ "type": "TEXT",
182
+ "notnull": false,
183
+ "pk": false
184
+ },
185
+ {
186
+ "name": "MFCCs_22",
187
+ "type": "TEXT",
188
+ "notnull": false,
189
+ "pk": false
190
+ },
191
+ {
192
+ "name": "Family",
193
+ "type": "TEXT",
194
+ "notnull": false,
195
+ "pk": false
196
+ },
197
+ {
198
+ "name": "Genus",
199
+ "type": "TEXT",
200
+ "notnull": false,
201
+ "pk": false
202
+ },
203
+ {
204
+ "name": "Species",
205
+ "type": "TEXT",
206
+ "notnull": false,
207
+ "pk": false
208
+ },
209
+ {
210
+ "name": "RecordID",
211
+ "type": "TEXT",
212
+ "notnull": false,
213
+ "pk": false
214
+ }
215
+ ],
216
+ "sample_rows": [
217
+ {
218
+ "MFCCs_ 1": "1",
219
+ "MFCCs_ 2": "0.152936298220384",
220
+ "MFCCs_ 3": "-0.105585902844019",
221
+ "MFCCs_ 4": "0.200721914808566",
222
+ "MFCCs_ 5": "0.317201062343259",
223
+ "MFCCs_ 6": "0.260763853131077",
224
+ "MFCCs_ 7": "0.100944640810053",
225
+ "MFCCs_ 8": "-0.150062604917616",
226
+ "MFCCs_ 9": "-0.17112763198601",
227
+ "MFCCs_10": "0.124676436148438",
228
+ "MFCCs_11": "0.188654145822323",
229
+ "MFCCs_12": "-0.0756217229244772",
230
+ "MFCCs_13": "-0.156435925226375",
231
+ "MFCCs_14": "0.0822451152835443",
232
+ "MFCCs_15": "0.135752042383891",
233
+ "MFCCs_16": "-0.0240166450287792",
234
+ "MFCCs_17": "-0.108351107221198",
235
+ "MFCCs_18": "-0.0776225214037558",
236
+ "MFCCs_19": "-0.00956780151914234",
237
+ "MFCCs_20": "0.0576839754007957",
238
+ "MFCCs_21": "0.118680135068692",
239
+ "MFCCs_22": "0.0140384456733697",
240
+ "Family": "Leptodactylidae",
241
+ "Genus": "Adenomera",
242
+ "Species": "AdenomeraAndre",
243
+ "RecordID": "1"
244
+ },
245
+ {
246
+ "MFCCs_ 1": "1",
247
+ "MFCCs_ 2": "0.171534257314109",
248
+ "MFCCs_ 3": "-0.0989747371205295",
249
+ "MFCCs_ 4": "0.268425220827017",
250
+ "MFCCs_ 5": "0.338671862995453",
251
+ "MFCCs_ 6": "0.268353099863332",
252
+ "MFCCs_ 7": "0.0608350871920449",
253
+ "MFCCs_ 8": "-0.222474640379244",
254
+ "MFCCs_ 9": "-0.207692670568256",
255
+ "MFCCs_10": "0.170882873543032",
256
+ "MFCCs_11": "0.27095827998887",
257
+ "MFCCs_12": "-0.0950039445276873",
258
+ "MFCCs_13": "-0.254341468381362",
259
+ "MFCCs_14": "0.0227862345814336",
260
+ "MFCCs_15": "0.163320101050209",
261
+ "MFCCs_16": "0.0120222808645159",
262
+ "MFCCs_17": "-0.0909740108032878",
263
+ "MFCCs_18": "-0.0565095219192882",
264
+ "MFCCs_19": "-0.035303356812479",
265
+ "MFCCs_20": "0.0201399631478018",
266
+ "MFCCs_21": "0.0822629868835422",
267
+ "MFCCs_22": "0.0290557421631693",
268
+ "Family": "Leptodactylidae",
269
+ "Genus": "Adenomera",
270
+ "Species": "AdenomeraAndre",
271
+ "RecordID": "1"
272
+ },
273
+ {
274
+ "MFCCs_ 1": "1",
275
+ "MFCCs_ 2": "0.152317085189856",
276
+ "MFCCs_ 3": "-0.0829726738725973",
277
+ "MFCCs_ 4": "0.287127957306532",
278
+ "MFCCs_ 5": "0.276014083988895",
279
+ "MFCCs_ 6": "0.189866772581424",
280
+ "MFCCs_ 7": "0.00871395674901959",
281
+ "MFCCs_ 8": "-0.242234230697363",
282
+ "MFCCs_ 9": "-0.219153324384574",
283
+ "MFCCs_10": "0.232538316574083",
284
+ "MFCCs_11": "0.266064481907247",
285
+ "MFCCs_12": "-0.072827186682411",
286
+ "MFCCs_13": "-0.237383560939613",
287
+ "MFCCs_14": "0.0507907353425093",
288
+ "MFCCs_15": "0.20733840580524",
289
+ "MFCCs_16": "0.0835356991035397",
290
+ "MFCCs_17": "-0.0506914300740697",
291
+ "MFCCs_18": "-0.0235902291809596",
292
+ "MFCCs_19": "-0.0667215489148675",
293
+ "MFCCs_20": "-0.0250832267732169",
294
+ "MFCCs_21": "0.0991083997463254",
295
+ "MFCCs_22": "0.0771623846958952",
296
+ "Family": "Leptodactylidae",
297
+ "Genus": "Adenomera",
298
+ "Species": "AdenomeraAndre",
299
+ "RecordID": "1"
300
+ },
301
+ {
302
+ "MFCCs_ 1": "1",
303
+ "MFCCs_ 2": "0.22439244572155",
304
+ "MFCCs_ 3": "0.118984663992927",
305
+ "MFCCs_ 4": "0.329431728991851",
306
+ "MFCCs_ 5": "0.37208800967925",
307
+ "MFCCs_ 6": "0.36100456768708",
308
+ "MFCCs_ 7": "0.0155010402636969",
309
+ "MFCCs_ 8": "-0.1943474518771",
310
+ "MFCCs_ 9": "-0.0981806677778217",
311
+ "MFCCs_10": "0.270375424774079",
312
+ "MFCCs_11": "0.267278909389666",
313
+ "MFCCs_12": "-0.162258251525887",
314
+ "MFCCs_13": "-0.317084231097501",
315
+ "MFCCs_14": "-0.0115674334348972",
316
+ "MFCCs_15": "0.100412825039324",
317
+ "MFCCs_16": "-0.0502237308220074",
318
+ "MFCCs_17": "-0.13600940404278",
319
+ "MFCCs_18": "-0.177037008525031",
320
+ "MFCCs_19": "-0.130498132704666",
321
+ "MFCCs_20": "-0.0547663962602304",
322
+ "MFCCs_21": "-0.018691446529289",
323
+ "MFCCs_22": "0.0239543085482256",
324
+ "Family": "Leptodactylidae",
325
+ "Genus": "Adenomera",
326
+ "Species": "AdenomeraAndre",
327
+ "RecordID": "1"
328
+ },
329
+ {
330
+ "MFCCs_ 1": "1",
331
+ "MFCCs_ 2": "0.0878169091598283",
332
+ "MFCCs_ 3": "-0.0683448878848087",
333
+ "MFCCs_ 4": "0.306966720688553",
334
+ "MFCCs_ 5": "0.330922940689476",
335
+ "MFCCs_ 6": "0.249143914245263",
336
+ "MFCCs_ 7": "0.00688371297114425",
337
+ "MFCCs_ 8": "-0.265423361986448",
338
+ "MFCCs_ 9": "-0.172699811727761",
339
+ "MFCCs_10": "0.266434260043502",
340
+ "MFCCs_11": "0.332695149242033",
341
+ "MFCCs_12": "-0.100748543620898",
342
+ "MFCCs_13": "-0.298523875475902",
343
+ "MFCCs_14": "0.037438885320215",
344
+ "MFCCs_15": "0.219152827231289",
345
+ "MFCCs_16": "0.0628372293931531",
346
+ "MFCCs_17": "-0.0488846180288039",
347
+ "MFCCs_18": "-0.0530735072212773",
348
+ "MFCCs_19": "-0.0885504031444007",
349
+ "MFCCs_20": "-0.0313455727580116",
350
+ "MFCCs_21": "0.108609831720118",
351
+ "MFCCs_22": "0.0792443322969332",
352
+ "Family": "Leptodactylidae",
353
+ "Genus": "Adenomera",
354
+ "Species": "AdenomeraAndre",
355
+ "RecordID": "1"
356
+ }
357
+ ]
358
+ }
359
+
360
+ Shortlisted templates:
361
+ [
362
+ {
363
+ "template_id": "tpl_grouped_percentile_point",
364
+ "template_name": "Grouped Percentile Point",
365
+ "primary_family": "tail_rarity_structure",
366
+ "portability": "yes",
367
+ "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;",
368
+ "required_roles": [
369
+ "group_col",
370
+ "measure_col"
371
+ ]
372
+ }
373
+ ]
374
+
375
+ Problem instance:
376
+ {
377
+ "dataset_id": "n7",
378
+ "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=Genus, measure_col=MFCCs_20.",
379
+ "planned_template_id": "tpl_grouped_percentile_point",
380
+ "bindings": {
381
+ "group_col": "Genus",
382
+ "measure_col": "MFCCs_20",
383
+ "top_k": 18,
384
+ "top_n": 4,
385
+ "num_tiles": 10,
386
+ "percentile_value": 0.9,
387
+ "z_threshold": 2.0,
388
+ "fraction_threshold": 0.05,
389
+ "baseline_multiplier": 1.75,
390
+ "baseline_fraction": 0.1,
391
+ "min_group_size": 5,
392
+ "min_support": 4,
393
+ "measure_threshold": -0.018404,
394
+ "time_grain": "month",
395
+ "lookback_rows": 3,
396
+ "current_period_start": "'2024-01-01'",
397
+ "current_period_end": "'2024-04-01'",
398
+ "previous_period_start": "'2023-10-01'",
399
+ "previous_period_end": "'2024-01-01'",
400
+ "drift_ratio_threshold": 0.8
401
+ },
402
+ "can_vary": [],
403
+ "must_fix": [],
404
+ "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;"
405
+ }
406
+
407
+ Repair context:
408
+ {}
Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_015ff1cbcd67ad40/cli/sql_prompt_attempt_2.txt ADDED
@@ -0,0 +1,408 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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: n7
15
+ - dataset_name: Anuran Calls Mfccs
16
+ - table_name: n7
17
+ - table_layout: single-table dataset (do not assume joins).
18
+ - row_semantics: One row is one tabular observation with 25 feature columns and target `Family`.
19
+ - task_type: classification
20
+ - target_column: Family
21
+ - main_row_count: 7195
22
+ - important_fields:
23
+ - MFCCs_ 1: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for MFCCs 1.
24
+ - MFCCs_ 2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 2.
25
+ - MFCCs_ 3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 3.
26
+ - MFCCs_ 4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 4.
27
+ - MFCCs_ 5: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 5.
28
+ - MFCCs_ 6: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 6.
29
+ - MFCCs_ 7: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 7.
30
+ - MFCCs_ 8: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 8.
31
+ - MFCCs_ 9: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 9.
32
+ - MFCCs_10: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 10.
33
+ - MFCCs_11: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 11.
34
+ - MFCCs_12: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 12.
35
+ - MFCCs_13: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 13.
36
+ - MFCCs_14: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 14.
37
+ - MFCCs_15: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 15.
38
+ - MFCCs_16: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 16.
39
+ - MFCCs_17: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 17.
40
+ - MFCCs_18: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 18.
41
+ - MFCCs_19: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 19.
42
+ - MFCCs_20: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 20.
43
+ - MFCCs_21: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 21.
44
+ - MFCCs_22: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 22.
45
+ - Family: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Family.
46
+ - Genus: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Genus.
47
+ - Species: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Species.
48
+ - RecordID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude'] desc=Identifier-like field for RecordID.
49
+ - useful_field_combinations: [['Family', 'Genus', 'Family'], ['Family', 'MFCCs_ 1', 'Family'], ['MFCCs_ 1', 'Genus', 'Family']]
50
+ - fields_requiring_caution: ['Family', 'MFCCs_ 1']
51
+ - source_url: https://archive.ics.uci.edu/dataset/406/anuran+calls+mfccs
52
+
53
+ SQLite schema snapshot:
54
+ {
55
+ "table_name": "n7",
56
+ "quoted_table_name": "\"n7\"",
57
+ "row_count": 7195,
58
+ "columns": [
59
+ {
60
+ "name": "MFCCs_ 1",
61
+ "type": "TEXT",
62
+ "notnull": false,
63
+ "pk": false
64
+ },
65
+ {
66
+ "name": "MFCCs_ 2",
67
+ "type": "TEXT",
68
+ "notnull": false,
69
+ "pk": false
70
+ },
71
+ {
72
+ "name": "MFCCs_ 3",
73
+ "type": "TEXT",
74
+ "notnull": false,
75
+ "pk": false
76
+ },
77
+ {
78
+ "name": "MFCCs_ 4",
79
+ "type": "TEXT",
80
+ "notnull": false,
81
+ "pk": false
82
+ },
83
+ {
84
+ "name": "MFCCs_ 5",
85
+ "type": "TEXT",
86
+ "notnull": false,
87
+ "pk": false
88
+ },
89
+ {
90
+ "name": "MFCCs_ 6",
91
+ "type": "TEXT",
92
+ "notnull": false,
93
+ "pk": false
94
+ },
95
+ {
96
+ "name": "MFCCs_ 7",
97
+ "type": "TEXT",
98
+ "notnull": false,
99
+ "pk": false
100
+ },
101
+ {
102
+ "name": "MFCCs_ 8",
103
+ "type": "TEXT",
104
+ "notnull": false,
105
+ "pk": false
106
+ },
107
+ {
108
+ "name": "MFCCs_ 9",
109
+ "type": "TEXT",
110
+ "notnull": false,
111
+ "pk": false
112
+ },
113
+ {
114
+ "name": "MFCCs_10",
115
+ "type": "TEXT",
116
+ "notnull": false,
117
+ "pk": false
118
+ },
119
+ {
120
+ "name": "MFCCs_11",
121
+ "type": "TEXT",
122
+ "notnull": false,
123
+ "pk": false
124
+ },
125
+ {
126
+ "name": "MFCCs_12",
127
+ "type": "TEXT",
128
+ "notnull": false,
129
+ "pk": false
130
+ },
131
+ {
132
+ "name": "MFCCs_13",
133
+ "type": "TEXT",
134
+ "notnull": false,
135
+ "pk": false
136
+ },
137
+ {
138
+ "name": "MFCCs_14",
139
+ "type": "TEXT",
140
+ "notnull": false,
141
+ "pk": false
142
+ },
143
+ {
144
+ "name": "MFCCs_15",
145
+ "type": "TEXT",
146
+ "notnull": false,
147
+ "pk": false
148
+ },
149
+ {
150
+ "name": "MFCCs_16",
151
+ "type": "TEXT",
152
+ "notnull": false,
153
+ "pk": false
154
+ },
155
+ {
156
+ "name": "MFCCs_17",
157
+ "type": "TEXT",
158
+ "notnull": false,
159
+ "pk": false
160
+ },
161
+ {
162
+ "name": "MFCCs_18",
163
+ "type": "TEXT",
164
+ "notnull": false,
165
+ "pk": false
166
+ },
167
+ {
168
+ "name": "MFCCs_19",
169
+ "type": "TEXT",
170
+ "notnull": false,
171
+ "pk": false
172
+ },
173
+ {
174
+ "name": "MFCCs_20",
175
+ "type": "TEXT",
176
+ "notnull": false,
177
+ "pk": false
178
+ },
179
+ {
180
+ "name": "MFCCs_21",
181
+ "type": "TEXT",
182
+ "notnull": false,
183
+ "pk": false
184
+ },
185
+ {
186
+ "name": "MFCCs_22",
187
+ "type": "TEXT",
188
+ "notnull": false,
189
+ "pk": false
190
+ },
191
+ {
192
+ "name": "Family",
193
+ "type": "TEXT",
194
+ "notnull": false,
195
+ "pk": false
196
+ },
197
+ {
198
+ "name": "Genus",
199
+ "type": "TEXT",
200
+ "notnull": false,
201
+ "pk": false
202
+ },
203
+ {
204
+ "name": "Species",
205
+ "type": "TEXT",
206
+ "notnull": false,
207
+ "pk": false
208
+ },
209
+ {
210
+ "name": "RecordID",
211
+ "type": "TEXT",
212
+ "notnull": false,
213
+ "pk": false
214
+ }
215
+ ],
216
+ "sample_rows": [
217
+ {
218
+ "MFCCs_ 1": "1",
219
+ "MFCCs_ 2": "0.152936298220384",
220
+ "MFCCs_ 3": "-0.105585902844019",
221
+ "MFCCs_ 4": "0.200721914808566",
222
+ "MFCCs_ 5": "0.317201062343259",
223
+ "MFCCs_ 6": "0.260763853131077",
224
+ "MFCCs_ 7": "0.100944640810053",
225
+ "MFCCs_ 8": "-0.150062604917616",
226
+ "MFCCs_ 9": "-0.17112763198601",
227
+ "MFCCs_10": "0.124676436148438",
228
+ "MFCCs_11": "0.188654145822323",
229
+ "MFCCs_12": "-0.0756217229244772",
230
+ "MFCCs_13": "-0.156435925226375",
231
+ "MFCCs_14": "0.0822451152835443",
232
+ "MFCCs_15": "0.135752042383891",
233
+ "MFCCs_16": "-0.0240166450287792",
234
+ "MFCCs_17": "-0.108351107221198",
235
+ "MFCCs_18": "-0.0776225214037558",
236
+ "MFCCs_19": "-0.00956780151914234",
237
+ "MFCCs_20": "0.0576839754007957",
238
+ "MFCCs_21": "0.118680135068692",
239
+ "MFCCs_22": "0.0140384456733697",
240
+ "Family": "Leptodactylidae",
241
+ "Genus": "Adenomera",
242
+ "Species": "AdenomeraAndre",
243
+ "RecordID": "1"
244
+ },
245
+ {
246
+ "MFCCs_ 1": "1",
247
+ "MFCCs_ 2": "0.171534257314109",
248
+ "MFCCs_ 3": "-0.0989747371205295",
249
+ "MFCCs_ 4": "0.268425220827017",
250
+ "MFCCs_ 5": "0.338671862995453",
251
+ "MFCCs_ 6": "0.268353099863332",
252
+ "MFCCs_ 7": "0.0608350871920449",
253
+ "MFCCs_ 8": "-0.222474640379244",
254
+ "MFCCs_ 9": "-0.207692670568256",
255
+ "MFCCs_10": "0.170882873543032",
256
+ "MFCCs_11": "0.27095827998887",
257
+ "MFCCs_12": "-0.0950039445276873",
258
+ "MFCCs_13": "-0.254341468381362",
259
+ "MFCCs_14": "0.0227862345814336",
260
+ "MFCCs_15": "0.163320101050209",
261
+ "MFCCs_16": "0.0120222808645159",
262
+ "MFCCs_17": "-0.0909740108032878",
263
+ "MFCCs_18": "-0.0565095219192882",
264
+ "MFCCs_19": "-0.035303356812479",
265
+ "MFCCs_20": "0.0201399631478018",
266
+ "MFCCs_21": "0.0822629868835422",
267
+ "MFCCs_22": "0.0290557421631693",
268
+ "Family": "Leptodactylidae",
269
+ "Genus": "Adenomera",
270
+ "Species": "AdenomeraAndre",
271
+ "RecordID": "1"
272
+ },
273
+ {
274
+ "MFCCs_ 1": "1",
275
+ "MFCCs_ 2": "0.152317085189856",
276
+ "MFCCs_ 3": "-0.0829726738725973",
277
+ "MFCCs_ 4": "0.287127957306532",
278
+ "MFCCs_ 5": "0.276014083988895",
279
+ "MFCCs_ 6": "0.189866772581424",
280
+ "MFCCs_ 7": "0.00871395674901959",
281
+ "MFCCs_ 8": "-0.242234230697363",
282
+ "MFCCs_ 9": "-0.219153324384574",
283
+ "MFCCs_10": "0.232538316574083",
284
+ "MFCCs_11": "0.266064481907247",
285
+ "MFCCs_12": "-0.072827186682411",
286
+ "MFCCs_13": "-0.237383560939613",
287
+ "MFCCs_14": "0.0507907353425093",
288
+ "MFCCs_15": "0.20733840580524",
289
+ "MFCCs_16": "0.0835356991035397",
290
+ "MFCCs_17": "-0.0506914300740697",
291
+ "MFCCs_18": "-0.0235902291809596",
292
+ "MFCCs_19": "-0.0667215489148675",
293
+ "MFCCs_20": "-0.0250832267732169",
294
+ "MFCCs_21": "0.0991083997463254",
295
+ "MFCCs_22": "0.0771623846958952",
296
+ "Family": "Leptodactylidae",
297
+ "Genus": "Adenomera",
298
+ "Species": "AdenomeraAndre",
299
+ "RecordID": "1"
300
+ },
301
+ {
302
+ "MFCCs_ 1": "1",
303
+ "MFCCs_ 2": "0.22439244572155",
304
+ "MFCCs_ 3": "0.118984663992927",
305
+ "MFCCs_ 4": "0.329431728991851",
306
+ "MFCCs_ 5": "0.37208800967925",
307
+ "MFCCs_ 6": "0.36100456768708",
308
+ "MFCCs_ 7": "0.0155010402636969",
309
+ "MFCCs_ 8": "-0.1943474518771",
310
+ "MFCCs_ 9": "-0.0981806677778217",
311
+ "MFCCs_10": "0.270375424774079",
312
+ "MFCCs_11": "0.267278909389666",
313
+ "MFCCs_12": "-0.162258251525887",
314
+ "MFCCs_13": "-0.317084231097501",
315
+ "MFCCs_14": "-0.0115674334348972",
316
+ "MFCCs_15": "0.100412825039324",
317
+ "MFCCs_16": "-0.0502237308220074",
318
+ "MFCCs_17": "-0.13600940404278",
319
+ "MFCCs_18": "-0.177037008525031",
320
+ "MFCCs_19": "-0.130498132704666",
321
+ "MFCCs_20": "-0.0547663962602304",
322
+ "MFCCs_21": "-0.018691446529289",
323
+ "MFCCs_22": "0.0239543085482256",
324
+ "Family": "Leptodactylidae",
325
+ "Genus": "Adenomera",
326
+ "Species": "AdenomeraAndre",
327
+ "RecordID": "1"
328
+ },
329
+ {
330
+ "MFCCs_ 1": "1",
331
+ "MFCCs_ 2": "0.0878169091598283",
332
+ "MFCCs_ 3": "-0.0683448878848087",
333
+ "MFCCs_ 4": "0.306966720688553",
334
+ "MFCCs_ 5": "0.330922940689476",
335
+ "MFCCs_ 6": "0.249143914245263",
336
+ "MFCCs_ 7": "0.00688371297114425",
337
+ "MFCCs_ 8": "-0.265423361986448",
338
+ "MFCCs_ 9": "-0.172699811727761",
339
+ "MFCCs_10": "0.266434260043502",
340
+ "MFCCs_11": "0.332695149242033",
341
+ "MFCCs_12": "-0.100748543620898",
342
+ "MFCCs_13": "-0.298523875475902",
343
+ "MFCCs_14": "0.037438885320215",
344
+ "MFCCs_15": "0.219152827231289",
345
+ "MFCCs_16": "0.0628372293931531",
346
+ "MFCCs_17": "-0.0488846180288039",
347
+ "MFCCs_18": "-0.0530735072212773",
348
+ "MFCCs_19": "-0.0885504031444007",
349
+ "MFCCs_20": "-0.0313455727580116",
350
+ "MFCCs_21": "0.108609831720118",
351
+ "MFCCs_22": "0.0792443322969332",
352
+ "Family": "Leptodactylidae",
353
+ "Genus": "Adenomera",
354
+ "Species": "AdenomeraAndre",
355
+ "RecordID": "1"
356
+ }
357
+ ]
358
+ }
359
+
360
+ Shortlisted templates:
361
+ [
362
+ {
363
+ "template_id": "tpl_grouped_percentile_point",
364
+ "template_name": "Grouped Percentile Point",
365
+ "primary_family": "tail_rarity_structure",
366
+ "portability": "yes",
367
+ "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;",
368
+ "required_roles": [
369
+ "group_col",
370
+ "measure_col"
371
+ ]
372
+ }
373
+ ]
374
+
375
+ Problem instance:
376
+ {
377
+ "dataset_id": "n7",
378
+ "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=Genus, measure_col=MFCCs_20.",
379
+ "planned_template_id": "tpl_grouped_percentile_point",
380
+ "bindings": {
381
+ "group_col": "Genus",
382
+ "measure_col": "MFCCs_20",
383
+ "top_k": 18,
384
+ "top_n": 4,
385
+ "num_tiles": 10,
386
+ "percentile_value": 0.9,
387
+ "z_threshold": 2.0,
388
+ "fraction_threshold": 0.05,
389
+ "baseline_multiplier": 1.75,
390
+ "baseline_fraction": 0.1,
391
+ "min_group_size": 5,
392
+ "min_support": 4,
393
+ "measure_threshold": -0.018404,
394
+ "time_grain": "month",
395
+ "lookback_rows": 3,
396
+ "current_period_start": "'2024-01-01'",
397
+ "current_period_end": "'2024-04-01'",
398
+ "previous_period_start": "'2023-10-01'",
399
+ "previous_period_end": "'2024-01-01'",
400
+ "drift_ratio_threshold": 0.8
401
+ },
402
+ "can_vary": [],
403
+ "must_fix": [],
404
+ "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;"
405
+ }
406
+
407
+ Repair context:
408
+ {}
Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_015ff1cbcd67ad40/cli/sql_response_attempt_1.raw.txt ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {"type":"thread.started","thread_id":"019e4108-93f6-7551-88db-ef6e8265e422"}
2
+ {"type":"turn.started"}
3
+ {"type":"error","message":"Quota exceeded. Check your plan and billing details."}
4
+ {"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_015ff1cbcd67ad40/cli/sql_response_attempt_1.txt ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {"type":"thread.started","thread_id":"019e4108-93f6-7551-88db-ef6e8265e422"}
2
+ {"type":"turn.started"}
3
+ {"type":"error","message":"Quota exceeded. Check your plan and billing details."}
4
+ {"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_015ff1cbcd67ad40/cli/sql_response_attempt_2.raw.txt ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {"type":"thread.started","thread_id":"019e4108-a38a-7be3-a7c6-2de86fb6e3c4"}
2
+ {"type":"turn.started"}
3
+ {"type":"error","message":"Quota exceeded. Check your plan and billing details."}
4
+ {"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_015ff1cbcd67ad40/cli/sql_response_attempt_2.txt ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {"type":"thread.started","thread_id":"019e4108-a38a-7be3-a7c6-2de86fb6e3c4"}
2
+ {"type":"turn.started"}
3
+ {"type":"error","message":"Quota exceeded. Check your plan and billing details."}
4
+ {"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_015ff1cbcd67ad40/cli/sql_stderr_attempt_1.txt ADDED
File without changes
Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_015ff1cbcd67ad40/cli/sql_stderr_attempt_2.txt ADDED
File without changes
Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_039c7a8fb24229a8/cli/sql_attempt_1.metadata.json ADDED
@@ -0,0 +1,43 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "attempt": 1,
3
+ "phase": "sql_generation",
4
+ "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
5
+ "started_at": "2026-05-19T16:14:21.944380+00:00",
6
+ "ended_at": "2026-05-19T16:14:25.189351+00:00",
7
+ "elapsed_ms": 3244.94,
8
+ "returncode": 1,
9
+ "prompt_metrics": {
10
+ "chars": 14696,
11
+ "bytes_utf8": 14696,
12
+ "lines": 406,
13
+ "estimated_tokens": null
14
+ },
15
+ "stdout_metrics": {
16
+ "chars": 281,
17
+ "bytes_utf8": 281,
18
+ "lines": 4,
19
+ "estimated_tokens": null
20
+ },
21
+ "stderr_metrics": {
22
+ "chars": 0,
23
+ "bytes_utf8": 0,
24
+ "lines": 0,
25
+ "estimated_tokens": null
26
+ },
27
+ "parsed_output": {
28
+ "format": "jsonl_events",
29
+ "text_metrics": {
30
+ "chars": 280,
31
+ "bytes_utf8": 280,
32
+ "lines": 4,
33
+ "estimated_tokens": null
34
+ },
35
+ "usage": {}
36
+ },
37
+ "status": "failed",
38
+ "error": "AI CLI command failed with exit code 1: ",
39
+ "prompt_path": "cli/sql_prompt_attempt_1.txt",
40
+ "response_path": "cli/sql_response_attempt_1.txt",
41
+ "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
42
+ "stderr_path": "cli/sql_stderr_attempt_1.txt"
43
+ }
Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_039c7a8fb24229a8/cli/sql_attempt_2.metadata.json ADDED
@@ -0,0 +1,43 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "attempt": 2,
3
+ "phase": "sql_generation",
4
+ "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
5
+ "started_at": "2026-05-19T16:14:26.191919+00:00",
6
+ "ended_at": "2026-05-19T16:14:29.304351+00:00",
7
+ "elapsed_ms": 3112.38,
8
+ "returncode": 1,
9
+ "prompt_metrics": {
10
+ "chars": 14696,
11
+ "bytes_utf8": 14696,
12
+ "lines": 406,
13
+ "estimated_tokens": null
14
+ },
15
+ "stdout_metrics": {
16
+ "chars": 281,
17
+ "bytes_utf8": 281,
18
+ "lines": 4,
19
+ "estimated_tokens": null
20
+ },
21
+ "stderr_metrics": {
22
+ "chars": 0,
23
+ "bytes_utf8": 0,
24
+ "lines": 0,
25
+ "estimated_tokens": null
26
+ },
27
+ "parsed_output": {
28
+ "format": "jsonl_events",
29
+ "text_metrics": {
30
+ "chars": 280,
31
+ "bytes_utf8": 280,
32
+ "lines": 4,
33
+ "estimated_tokens": null
34
+ },
35
+ "usage": {}
36
+ },
37
+ "status": "failed",
38
+ "error": "AI CLI command failed with exit code 1: ",
39
+ "prompt_path": "cli/sql_prompt_attempt_2.txt",
40
+ "response_path": "cli/sql_response_attempt_2.txt",
41
+ "raw_response_path": "cli/sql_response_attempt_2.raw.txt",
42
+ "stderr_path": "cli/sql_stderr_attempt_2.txt"
43
+ }
Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_039c7a8fb24229a8/cli/sql_prompt_attempt_1.txt ADDED
@@ -0,0 +1,406 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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: n7
15
+ - dataset_name: Anuran Calls Mfccs
16
+ - table_name: n7
17
+ - table_layout: single-table dataset (do not assume joins).
18
+ - row_semantics: One row is one tabular observation with 25 feature columns and target `Family`.
19
+ - task_type: classification
20
+ - target_column: Family
21
+ - main_row_count: 7195
22
+ - important_fields:
23
+ - MFCCs_ 1: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for MFCCs 1.
24
+ - MFCCs_ 2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 2.
25
+ - MFCCs_ 3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 3.
26
+ - MFCCs_ 4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 4.
27
+ - MFCCs_ 5: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 5.
28
+ - MFCCs_ 6: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 6.
29
+ - MFCCs_ 7: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 7.
30
+ - MFCCs_ 8: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 8.
31
+ - MFCCs_ 9: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 9.
32
+ - MFCCs_10: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 10.
33
+ - MFCCs_11: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 11.
34
+ - MFCCs_12: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 12.
35
+ - MFCCs_13: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 13.
36
+ - MFCCs_14: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 14.
37
+ - MFCCs_15: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 15.
38
+ - MFCCs_16: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 16.
39
+ - MFCCs_17: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 17.
40
+ - MFCCs_18: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 18.
41
+ - MFCCs_19: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 19.
42
+ - MFCCs_20: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 20.
43
+ - MFCCs_21: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 21.
44
+ - MFCCs_22: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 22.
45
+ - Family: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Family.
46
+ - Genus: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Genus.
47
+ - Species: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Species.
48
+ - RecordID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude'] desc=Identifier-like field for RecordID.
49
+ - useful_field_combinations: [['Family', 'Genus', 'Family'], ['Family', 'MFCCs_ 1', 'Family'], ['MFCCs_ 1', 'Genus', 'Family']]
50
+ - fields_requiring_caution: ['Family', 'MFCCs_ 1']
51
+ - source_url: https://archive.ics.uci.edu/dataset/406/anuran+calls+mfccs
52
+
53
+ SQLite schema snapshot:
54
+ {
55
+ "table_name": "n7",
56
+ "quoted_table_name": "\"n7\"",
57
+ "row_count": 7195,
58
+ "columns": [
59
+ {
60
+ "name": "MFCCs_ 1",
61
+ "type": "TEXT",
62
+ "notnull": false,
63
+ "pk": false
64
+ },
65
+ {
66
+ "name": "MFCCs_ 2",
67
+ "type": "TEXT",
68
+ "notnull": false,
69
+ "pk": false
70
+ },
71
+ {
72
+ "name": "MFCCs_ 3",
73
+ "type": "TEXT",
74
+ "notnull": false,
75
+ "pk": false
76
+ },
77
+ {
78
+ "name": "MFCCs_ 4",
79
+ "type": "TEXT",
80
+ "notnull": false,
81
+ "pk": false
82
+ },
83
+ {
84
+ "name": "MFCCs_ 5",
85
+ "type": "TEXT",
86
+ "notnull": false,
87
+ "pk": false
88
+ },
89
+ {
90
+ "name": "MFCCs_ 6",
91
+ "type": "TEXT",
92
+ "notnull": false,
93
+ "pk": false
94
+ },
95
+ {
96
+ "name": "MFCCs_ 7",
97
+ "type": "TEXT",
98
+ "notnull": false,
99
+ "pk": false
100
+ },
101
+ {
102
+ "name": "MFCCs_ 8",
103
+ "type": "TEXT",
104
+ "notnull": false,
105
+ "pk": false
106
+ },
107
+ {
108
+ "name": "MFCCs_ 9",
109
+ "type": "TEXT",
110
+ "notnull": false,
111
+ "pk": false
112
+ },
113
+ {
114
+ "name": "MFCCs_10",
115
+ "type": "TEXT",
116
+ "notnull": false,
117
+ "pk": false
118
+ },
119
+ {
120
+ "name": "MFCCs_11",
121
+ "type": "TEXT",
122
+ "notnull": false,
123
+ "pk": false
124
+ },
125
+ {
126
+ "name": "MFCCs_12",
127
+ "type": "TEXT",
128
+ "notnull": false,
129
+ "pk": false
130
+ },
131
+ {
132
+ "name": "MFCCs_13",
133
+ "type": "TEXT",
134
+ "notnull": false,
135
+ "pk": false
136
+ },
137
+ {
138
+ "name": "MFCCs_14",
139
+ "type": "TEXT",
140
+ "notnull": false,
141
+ "pk": false
142
+ },
143
+ {
144
+ "name": "MFCCs_15",
145
+ "type": "TEXT",
146
+ "notnull": false,
147
+ "pk": false
148
+ },
149
+ {
150
+ "name": "MFCCs_16",
151
+ "type": "TEXT",
152
+ "notnull": false,
153
+ "pk": false
154
+ },
155
+ {
156
+ "name": "MFCCs_17",
157
+ "type": "TEXT",
158
+ "notnull": false,
159
+ "pk": false
160
+ },
161
+ {
162
+ "name": "MFCCs_18",
163
+ "type": "TEXT",
164
+ "notnull": false,
165
+ "pk": false
166
+ },
167
+ {
168
+ "name": "MFCCs_19",
169
+ "type": "TEXT",
170
+ "notnull": false,
171
+ "pk": false
172
+ },
173
+ {
174
+ "name": "MFCCs_20",
175
+ "type": "TEXT",
176
+ "notnull": false,
177
+ "pk": false
178
+ },
179
+ {
180
+ "name": "MFCCs_21",
181
+ "type": "TEXT",
182
+ "notnull": false,
183
+ "pk": false
184
+ },
185
+ {
186
+ "name": "MFCCs_22",
187
+ "type": "TEXT",
188
+ "notnull": false,
189
+ "pk": false
190
+ },
191
+ {
192
+ "name": "Family",
193
+ "type": "TEXT",
194
+ "notnull": false,
195
+ "pk": false
196
+ },
197
+ {
198
+ "name": "Genus",
199
+ "type": "TEXT",
200
+ "notnull": false,
201
+ "pk": false
202
+ },
203
+ {
204
+ "name": "Species",
205
+ "type": "TEXT",
206
+ "notnull": false,
207
+ "pk": false
208
+ },
209
+ {
210
+ "name": "RecordID",
211
+ "type": "TEXT",
212
+ "notnull": false,
213
+ "pk": false
214
+ }
215
+ ],
216
+ "sample_rows": [
217
+ {
218
+ "MFCCs_ 1": "1",
219
+ "MFCCs_ 2": "0.152936298220384",
220
+ "MFCCs_ 3": "-0.105585902844019",
221
+ "MFCCs_ 4": "0.200721914808566",
222
+ "MFCCs_ 5": "0.317201062343259",
223
+ "MFCCs_ 6": "0.260763853131077",
224
+ "MFCCs_ 7": "0.100944640810053",
225
+ "MFCCs_ 8": "-0.150062604917616",
226
+ "MFCCs_ 9": "-0.17112763198601",
227
+ "MFCCs_10": "0.124676436148438",
228
+ "MFCCs_11": "0.188654145822323",
229
+ "MFCCs_12": "-0.0756217229244772",
230
+ "MFCCs_13": "-0.156435925226375",
231
+ "MFCCs_14": "0.0822451152835443",
232
+ "MFCCs_15": "0.135752042383891",
233
+ "MFCCs_16": "-0.0240166450287792",
234
+ "MFCCs_17": "-0.108351107221198",
235
+ "MFCCs_18": "-0.0776225214037558",
236
+ "MFCCs_19": "-0.00956780151914234",
237
+ "MFCCs_20": "0.0576839754007957",
238
+ "MFCCs_21": "0.118680135068692",
239
+ "MFCCs_22": "0.0140384456733697",
240
+ "Family": "Leptodactylidae",
241
+ "Genus": "Adenomera",
242
+ "Species": "AdenomeraAndre",
243
+ "RecordID": "1"
244
+ },
245
+ {
246
+ "MFCCs_ 1": "1",
247
+ "MFCCs_ 2": "0.171534257314109",
248
+ "MFCCs_ 3": "-0.0989747371205295",
249
+ "MFCCs_ 4": "0.268425220827017",
250
+ "MFCCs_ 5": "0.338671862995453",
251
+ "MFCCs_ 6": "0.268353099863332",
252
+ "MFCCs_ 7": "0.0608350871920449",
253
+ "MFCCs_ 8": "-0.222474640379244",
254
+ "MFCCs_ 9": "-0.207692670568256",
255
+ "MFCCs_10": "0.170882873543032",
256
+ "MFCCs_11": "0.27095827998887",
257
+ "MFCCs_12": "-0.0950039445276873",
258
+ "MFCCs_13": "-0.254341468381362",
259
+ "MFCCs_14": "0.0227862345814336",
260
+ "MFCCs_15": "0.163320101050209",
261
+ "MFCCs_16": "0.0120222808645159",
262
+ "MFCCs_17": "-0.0909740108032878",
263
+ "MFCCs_18": "-0.0565095219192882",
264
+ "MFCCs_19": "-0.035303356812479",
265
+ "MFCCs_20": "0.0201399631478018",
266
+ "MFCCs_21": "0.0822629868835422",
267
+ "MFCCs_22": "0.0290557421631693",
268
+ "Family": "Leptodactylidae",
269
+ "Genus": "Adenomera",
270
+ "Species": "AdenomeraAndre",
271
+ "RecordID": "1"
272
+ },
273
+ {
274
+ "MFCCs_ 1": "1",
275
+ "MFCCs_ 2": "0.152317085189856",
276
+ "MFCCs_ 3": "-0.0829726738725973",
277
+ "MFCCs_ 4": "0.287127957306532",
278
+ "MFCCs_ 5": "0.276014083988895",
279
+ "MFCCs_ 6": "0.189866772581424",
280
+ "MFCCs_ 7": "0.00871395674901959",
281
+ "MFCCs_ 8": "-0.242234230697363",
282
+ "MFCCs_ 9": "-0.219153324384574",
283
+ "MFCCs_10": "0.232538316574083",
284
+ "MFCCs_11": "0.266064481907247",
285
+ "MFCCs_12": "-0.072827186682411",
286
+ "MFCCs_13": "-0.237383560939613",
287
+ "MFCCs_14": "0.0507907353425093",
288
+ "MFCCs_15": "0.20733840580524",
289
+ "MFCCs_16": "0.0835356991035397",
290
+ "MFCCs_17": "-0.0506914300740697",
291
+ "MFCCs_18": "-0.0235902291809596",
292
+ "MFCCs_19": "-0.0667215489148675",
293
+ "MFCCs_20": "-0.0250832267732169",
294
+ "MFCCs_21": "0.0991083997463254",
295
+ "MFCCs_22": "0.0771623846958952",
296
+ "Family": "Leptodactylidae",
297
+ "Genus": "Adenomera",
298
+ "Species": "AdenomeraAndre",
299
+ "RecordID": "1"
300
+ },
301
+ {
302
+ "MFCCs_ 1": "1",
303
+ "MFCCs_ 2": "0.22439244572155",
304
+ "MFCCs_ 3": "0.118984663992927",
305
+ "MFCCs_ 4": "0.329431728991851",
306
+ "MFCCs_ 5": "0.37208800967925",
307
+ "MFCCs_ 6": "0.36100456768708",
308
+ "MFCCs_ 7": "0.0155010402636969",
309
+ "MFCCs_ 8": "-0.1943474518771",
310
+ "MFCCs_ 9": "-0.0981806677778217",
311
+ "MFCCs_10": "0.270375424774079",
312
+ "MFCCs_11": "0.267278909389666",
313
+ "MFCCs_12": "-0.162258251525887",
314
+ "MFCCs_13": "-0.317084231097501",
315
+ "MFCCs_14": "-0.0115674334348972",
316
+ "MFCCs_15": "0.100412825039324",
317
+ "MFCCs_16": "-0.0502237308220074",
318
+ "MFCCs_17": "-0.13600940404278",
319
+ "MFCCs_18": "-0.177037008525031",
320
+ "MFCCs_19": "-0.130498132704666",
321
+ "MFCCs_20": "-0.0547663962602304",
322
+ "MFCCs_21": "-0.018691446529289",
323
+ "MFCCs_22": "0.0239543085482256",
324
+ "Family": "Leptodactylidae",
325
+ "Genus": "Adenomera",
326
+ "Species": "AdenomeraAndre",
327
+ "RecordID": "1"
328
+ },
329
+ {
330
+ "MFCCs_ 1": "1",
331
+ "MFCCs_ 2": "0.0878169091598283",
332
+ "MFCCs_ 3": "-0.0683448878848087",
333
+ "MFCCs_ 4": "0.306966720688553",
334
+ "MFCCs_ 5": "0.330922940689476",
335
+ "MFCCs_ 6": "0.249143914245263",
336
+ "MFCCs_ 7": "0.00688371297114425",
337
+ "MFCCs_ 8": "-0.265423361986448",
338
+ "MFCCs_ 9": "-0.172699811727761",
339
+ "MFCCs_10": "0.266434260043502",
340
+ "MFCCs_11": "0.332695149242033",
341
+ "MFCCs_12": "-0.100748543620898",
342
+ "MFCCs_13": "-0.298523875475902",
343
+ "MFCCs_14": "0.037438885320215",
344
+ "MFCCs_15": "0.219152827231289",
345
+ "MFCCs_16": "0.0628372293931531",
346
+ "MFCCs_17": "-0.0488846180288039",
347
+ "MFCCs_18": "-0.0530735072212773",
348
+ "MFCCs_19": "-0.0885504031444007",
349
+ "MFCCs_20": "-0.0313455727580116",
350
+ "MFCCs_21": "0.108609831720118",
351
+ "MFCCs_22": "0.0792443322969332",
352
+ "Family": "Leptodactylidae",
353
+ "Genus": "Adenomera",
354
+ "Species": "AdenomeraAndre",
355
+ "RecordID": "1"
356
+ }
357
+ ]
358
+ }
359
+
360
+ Shortlisted templates:
361
+ [
362
+ {
363
+ "template_id": "tpl_m4_quantile_tail_slice",
364
+ "template_name": "Quantile Tail Slice",
365
+ "primary_family": "tail_rarity_structure",
366
+ "portability": "partial",
367
+ "sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;",
368
+ "required_roles": [
369
+ "measure_col"
370
+ ]
371
+ }
372
+ ]
373
+
374
+ Problem instance:
375
+ {
376
+ "dataset_id": "n7",
377
+ "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=MFCCs_16.",
378
+ "planned_template_id": "tpl_m4_quantile_tail_slice",
379
+ "bindings": {
380
+ "measure_col": "MFCCs_16",
381
+ "top_k": 11,
382
+ "top_n": 4,
383
+ "num_tiles": 10,
384
+ "percentile_value": 0.9,
385
+ "z_threshold": 2.0,
386
+ "fraction_threshold": 0.1,
387
+ "baseline_multiplier": 1.5,
388
+ "baseline_fraction": 0.1,
389
+ "min_group_size": 5,
390
+ "min_support": 5,
391
+ "measure_threshold": 0.107046,
392
+ "time_grain": "month",
393
+ "lookback_rows": 3,
394
+ "current_period_start": "'2024-01-01'",
395
+ "current_period_end": "'2024-04-01'",
396
+ "previous_period_start": "'2023-10-01'",
397
+ "previous_period_end": "'2024-01-01'",
398
+ "drift_ratio_threshold": 0.8
399
+ },
400
+ "can_vary": [],
401
+ "must_fix": [],
402
+ "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;"
403
+ }
404
+
405
+ Repair context:
406
+ {}
Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_039c7a8fb24229a8/cli/sql_prompt_attempt_2.txt ADDED
@@ -0,0 +1,406 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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: n7
15
+ - dataset_name: Anuran Calls Mfccs
16
+ - table_name: n7
17
+ - table_layout: single-table dataset (do not assume joins).
18
+ - row_semantics: One row is one tabular observation with 25 feature columns and target `Family`.
19
+ - task_type: classification
20
+ - target_column: Family
21
+ - main_row_count: 7195
22
+ - important_fields:
23
+ - MFCCs_ 1: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for MFCCs 1.
24
+ - MFCCs_ 2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 2.
25
+ - MFCCs_ 3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 3.
26
+ - MFCCs_ 4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 4.
27
+ - MFCCs_ 5: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 5.
28
+ - MFCCs_ 6: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 6.
29
+ - MFCCs_ 7: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 7.
30
+ - MFCCs_ 8: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 8.
31
+ - MFCCs_ 9: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 9.
32
+ - MFCCs_10: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 10.
33
+ - MFCCs_11: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 11.
34
+ - MFCCs_12: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 12.
35
+ - MFCCs_13: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 13.
36
+ - MFCCs_14: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 14.
37
+ - MFCCs_15: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 15.
38
+ - MFCCs_16: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 16.
39
+ - MFCCs_17: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 17.
40
+ - MFCCs_18: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 18.
41
+ - MFCCs_19: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 19.
42
+ - MFCCs_20: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 20.
43
+ - MFCCs_21: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 21.
44
+ - MFCCs_22: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 22.
45
+ - Family: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Family.
46
+ - Genus: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Genus.
47
+ - Species: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Species.
48
+ - RecordID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude'] desc=Identifier-like field for RecordID.
49
+ - useful_field_combinations: [['Family', 'Genus', 'Family'], ['Family', 'MFCCs_ 1', 'Family'], ['MFCCs_ 1', 'Genus', 'Family']]
50
+ - fields_requiring_caution: ['Family', 'MFCCs_ 1']
51
+ - source_url: https://archive.ics.uci.edu/dataset/406/anuran+calls+mfccs
52
+
53
+ SQLite schema snapshot:
54
+ {
55
+ "table_name": "n7",
56
+ "quoted_table_name": "\"n7\"",
57
+ "row_count": 7195,
58
+ "columns": [
59
+ {
60
+ "name": "MFCCs_ 1",
61
+ "type": "TEXT",
62
+ "notnull": false,
63
+ "pk": false
64
+ },
65
+ {
66
+ "name": "MFCCs_ 2",
67
+ "type": "TEXT",
68
+ "notnull": false,
69
+ "pk": false
70
+ },
71
+ {
72
+ "name": "MFCCs_ 3",
73
+ "type": "TEXT",
74
+ "notnull": false,
75
+ "pk": false
76
+ },
77
+ {
78
+ "name": "MFCCs_ 4",
79
+ "type": "TEXT",
80
+ "notnull": false,
81
+ "pk": false
82
+ },
83
+ {
84
+ "name": "MFCCs_ 5",
85
+ "type": "TEXT",
86
+ "notnull": false,
87
+ "pk": false
88
+ },
89
+ {
90
+ "name": "MFCCs_ 6",
91
+ "type": "TEXT",
92
+ "notnull": false,
93
+ "pk": false
94
+ },
95
+ {
96
+ "name": "MFCCs_ 7",
97
+ "type": "TEXT",
98
+ "notnull": false,
99
+ "pk": false
100
+ },
101
+ {
102
+ "name": "MFCCs_ 8",
103
+ "type": "TEXT",
104
+ "notnull": false,
105
+ "pk": false
106
+ },
107
+ {
108
+ "name": "MFCCs_ 9",
109
+ "type": "TEXT",
110
+ "notnull": false,
111
+ "pk": false
112
+ },
113
+ {
114
+ "name": "MFCCs_10",
115
+ "type": "TEXT",
116
+ "notnull": false,
117
+ "pk": false
118
+ },
119
+ {
120
+ "name": "MFCCs_11",
121
+ "type": "TEXT",
122
+ "notnull": false,
123
+ "pk": false
124
+ },
125
+ {
126
+ "name": "MFCCs_12",
127
+ "type": "TEXT",
128
+ "notnull": false,
129
+ "pk": false
130
+ },
131
+ {
132
+ "name": "MFCCs_13",
133
+ "type": "TEXT",
134
+ "notnull": false,
135
+ "pk": false
136
+ },
137
+ {
138
+ "name": "MFCCs_14",
139
+ "type": "TEXT",
140
+ "notnull": false,
141
+ "pk": false
142
+ },
143
+ {
144
+ "name": "MFCCs_15",
145
+ "type": "TEXT",
146
+ "notnull": false,
147
+ "pk": false
148
+ },
149
+ {
150
+ "name": "MFCCs_16",
151
+ "type": "TEXT",
152
+ "notnull": false,
153
+ "pk": false
154
+ },
155
+ {
156
+ "name": "MFCCs_17",
157
+ "type": "TEXT",
158
+ "notnull": false,
159
+ "pk": false
160
+ },
161
+ {
162
+ "name": "MFCCs_18",
163
+ "type": "TEXT",
164
+ "notnull": false,
165
+ "pk": false
166
+ },
167
+ {
168
+ "name": "MFCCs_19",
169
+ "type": "TEXT",
170
+ "notnull": false,
171
+ "pk": false
172
+ },
173
+ {
174
+ "name": "MFCCs_20",
175
+ "type": "TEXT",
176
+ "notnull": false,
177
+ "pk": false
178
+ },
179
+ {
180
+ "name": "MFCCs_21",
181
+ "type": "TEXT",
182
+ "notnull": false,
183
+ "pk": false
184
+ },
185
+ {
186
+ "name": "MFCCs_22",
187
+ "type": "TEXT",
188
+ "notnull": false,
189
+ "pk": false
190
+ },
191
+ {
192
+ "name": "Family",
193
+ "type": "TEXT",
194
+ "notnull": false,
195
+ "pk": false
196
+ },
197
+ {
198
+ "name": "Genus",
199
+ "type": "TEXT",
200
+ "notnull": false,
201
+ "pk": false
202
+ },
203
+ {
204
+ "name": "Species",
205
+ "type": "TEXT",
206
+ "notnull": false,
207
+ "pk": false
208
+ },
209
+ {
210
+ "name": "RecordID",
211
+ "type": "TEXT",
212
+ "notnull": false,
213
+ "pk": false
214
+ }
215
+ ],
216
+ "sample_rows": [
217
+ {
218
+ "MFCCs_ 1": "1",
219
+ "MFCCs_ 2": "0.152936298220384",
220
+ "MFCCs_ 3": "-0.105585902844019",
221
+ "MFCCs_ 4": "0.200721914808566",
222
+ "MFCCs_ 5": "0.317201062343259",
223
+ "MFCCs_ 6": "0.260763853131077",
224
+ "MFCCs_ 7": "0.100944640810053",
225
+ "MFCCs_ 8": "-0.150062604917616",
226
+ "MFCCs_ 9": "-0.17112763198601",
227
+ "MFCCs_10": "0.124676436148438",
228
+ "MFCCs_11": "0.188654145822323",
229
+ "MFCCs_12": "-0.0756217229244772",
230
+ "MFCCs_13": "-0.156435925226375",
231
+ "MFCCs_14": "0.0822451152835443",
232
+ "MFCCs_15": "0.135752042383891",
233
+ "MFCCs_16": "-0.0240166450287792",
234
+ "MFCCs_17": "-0.108351107221198",
235
+ "MFCCs_18": "-0.0776225214037558",
236
+ "MFCCs_19": "-0.00956780151914234",
237
+ "MFCCs_20": "0.0576839754007957",
238
+ "MFCCs_21": "0.118680135068692",
239
+ "MFCCs_22": "0.0140384456733697",
240
+ "Family": "Leptodactylidae",
241
+ "Genus": "Adenomera",
242
+ "Species": "AdenomeraAndre",
243
+ "RecordID": "1"
244
+ },
245
+ {
246
+ "MFCCs_ 1": "1",
247
+ "MFCCs_ 2": "0.171534257314109",
248
+ "MFCCs_ 3": "-0.0989747371205295",
249
+ "MFCCs_ 4": "0.268425220827017",
250
+ "MFCCs_ 5": "0.338671862995453",
251
+ "MFCCs_ 6": "0.268353099863332",
252
+ "MFCCs_ 7": "0.0608350871920449",
253
+ "MFCCs_ 8": "-0.222474640379244",
254
+ "MFCCs_ 9": "-0.207692670568256",
255
+ "MFCCs_10": "0.170882873543032",
256
+ "MFCCs_11": "0.27095827998887",
257
+ "MFCCs_12": "-0.0950039445276873",
258
+ "MFCCs_13": "-0.254341468381362",
259
+ "MFCCs_14": "0.0227862345814336",
260
+ "MFCCs_15": "0.163320101050209",
261
+ "MFCCs_16": "0.0120222808645159",
262
+ "MFCCs_17": "-0.0909740108032878",
263
+ "MFCCs_18": "-0.0565095219192882",
264
+ "MFCCs_19": "-0.035303356812479",
265
+ "MFCCs_20": "0.0201399631478018",
266
+ "MFCCs_21": "0.0822629868835422",
267
+ "MFCCs_22": "0.0290557421631693",
268
+ "Family": "Leptodactylidae",
269
+ "Genus": "Adenomera",
270
+ "Species": "AdenomeraAndre",
271
+ "RecordID": "1"
272
+ },
273
+ {
274
+ "MFCCs_ 1": "1",
275
+ "MFCCs_ 2": "0.152317085189856",
276
+ "MFCCs_ 3": "-0.0829726738725973",
277
+ "MFCCs_ 4": "0.287127957306532",
278
+ "MFCCs_ 5": "0.276014083988895",
279
+ "MFCCs_ 6": "0.189866772581424",
280
+ "MFCCs_ 7": "0.00871395674901959",
281
+ "MFCCs_ 8": "-0.242234230697363",
282
+ "MFCCs_ 9": "-0.219153324384574",
283
+ "MFCCs_10": "0.232538316574083",
284
+ "MFCCs_11": "0.266064481907247",
285
+ "MFCCs_12": "-0.072827186682411",
286
+ "MFCCs_13": "-0.237383560939613",
287
+ "MFCCs_14": "0.0507907353425093",
288
+ "MFCCs_15": "0.20733840580524",
289
+ "MFCCs_16": "0.0835356991035397",
290
+ "MFCCs_17": "-0.0506914300740697",
291
+ "MFCCs_18": "-0.0235902291809596",
292
+ "MFCCs_19": "-0.0667215489148675",
293
+ "MFCCs_20": "-0.0250832267732169",
294
+ "MFCCs_21": "0.0991083997463254",
295
+ "MFCCs_22": "0.0771623846958952",
296
+ "Family": "Leptodactylidae",
297
+ "Genus": "Adenomera",
298
+ "Species": "AdenomeraAndre",
299
+ "RecordID": "1"
300
+ },
301
+ {
302
+ "MFCCs_ 1": "1",
303
+ "MFCCs_ 2": "0.22439244572155",
304
+ "MFCCs_ 3": "0.118984663992927",
305
+ "MFCCs_ 4": "0.329431728991851",
306
+ "MFCCs_ 5": "0.37208800967925",
307
+ "MFCCs_ 6": "0.36100456768708",
308
+ "MFCCs_ 7": "0.0155010402636969",
309
+ "MFCCs_ 8": "-0.1943474518771",
310
+ "MFCCs_ 9": "-0.0981806677778217",
311
+ "MFCCs_10": "0.270375424774079",
312
+ "MFCCs_11": "0.267278909389666",
313
+ "MFCCs_12": "-0.162258251525887",
314
+ "MFCCs_13": "-0.317084231097501",
315
+ "MFCCs_14": "-0.0115674334348972",
316
+ "MFCCs_15": "0.100412825039324",
317
+ "MFCCs_16": "-0.0502237308220074",
318
+ "MFCCs_17": "-0.13600940404278",
319
+ "MFCCs_18": "-0.177037008525031",
320
+ "MFCCs_19": "-0.130498132704666",
321
+ "MFCCs_20": "-0.0547663962602304",
322
+ "MFCCs_21": "-0.018691446529289",
323
+ "MFCCs_22": "0.0239543085482256",
324
+ "Family": "Leptodactylidae",
325
+ "Genus": "Adenomera",
326
+ "Species": "AdenomeraAndre",
327
+ "RecordID": "1"
328
+ },
329
+ {
330
+ "MFCCs_ 1": "1",
331
+ "MFCCs_ 2": "0.0878169091598283",
332
+ "MFCCs_ 3": "-0.0683448878848087",
333
+ "MFCCs_ 4": "0.306966720688553",
334
+ "MFCCs_ 5": "0.330922940689476",
335
+ "MFCCs_ 6": "0.249143914245263",
336
+ "MFCCs_ 7": "0.00688371297114425",
337
+ "MFCCs_ 8": "-0.265423361986448",
338
+ "MFCCs_ 9": "-0.172699811727761",
339
+ "MFCCs_10": "0.266434260043502",
340
+ "MFCCs_11": "0.332695149242033",
341
+ "MFCCs_12": "-0.100748543620898",
342
+ "MFCCs_13": "-0.298523875475902",
343
+ "MFCCs_14": "0.037438885320215",
344
+ "MFCCs_15": "0.219152827231289",
345
+ "MFCCs_16": "0.0628372293931531",
346
+ "MFCCs_17": "-0.0488846180288039",
347
+ "MFCCs_18": "-0.0530735072212773",
348
+ "MFCCs_19": "-0.0885504031444007",
349
+ "MFCCs_20": "-0.0313455727580116",
350
+ "MFCCs_21": "0.108609831720118",
351
+ "MFCCs_22": "0.0792443322969332",
352
+ "Family": "Leptodactylidae",
353
+ "Genus": "Adenomera",
354
+ "Species": "AdenomeraAndre",
355
+ "RecordID": "1"
356
+ }
357
+ ]
358
+ }
359
+
360
+ Shortlisted templates:
361
+ [
362
+ {
363
+ "template_id": "tpl_m4_quantile_tail_slice",
364
+ "template_name": "Quantile Tail Slice",
365
+ "primary_family": "tail_rarity_structure",
366
+ "portability": "partial",
367
+ "sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;",
368
+ "required_roles": [
369
+ "measure_col"
370
+ ]
371
+ }
372
+ ]
373
+
374
+ Problem instance:
375
+ {
376
+ "dataset_id": "n7",
377
+ "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=MFCCs_16.",
378
+ "planned_template_id": "tpl_m4_quantile_tail_slice",
379
+ "bindings": {
380
+ "measure_col": "MFCCs_16",
381
+ "top_k": 11,
382
+ "top_n": 4,
383
+ "num_tiles": 10,
384
+ "percentile_value": 0.9,
385
+ "z_threshold": 2.0,
386
+ "fraction_threshold": 0.1,
387
+ "baseline_multiplier": 1.5,
388
+ "baseline_fraction": 0.1,
389
+ "min_group_size": 5,
390
+ "min_support": 5,
391
+ "measure_threshold": 0.107046,
392
+ "time_grain": "month",
393
+ "lookback_rows": 3,
394
+ "current_period_start": "'2024-01-01'",
395
+ "current_period_end": "'2024-04-01'",
396
+ "previous_period_start": "'2023-10-01'",
397
+ "previous_period_end": "'2024-01-01'",
398
+ "drift_ratio_threshold": 0.8
399
+ },
400
+ "can_vary": [],
401
+ "must_fix": [],
402
+ "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;"
403
+ }
404
+
405
+ Repair context:
406
+ {}
Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_039c7a8fb24229a8/cli/sql_response_attempt_1.raw.txt ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {"type":"thread.started","thread_id":"019e4104-5043-7772-9c88-1e9f2d8d29e6"}
2
+ {"type":"turn.started"}
3
+ {"type":"error","message":"Quota exceeded. Check your plan and billing details."}
4
+ {"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_039c7a8fb24229a8/cli/sql_response_attempt_1.txt ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {"type":"thread.started","thread_id":"019e4104-5043-7772-9c88-1e9f2d8d29e6"}
2
+ {"type":"turn.started"}
3
+ {"type":"error","message":"Quota exceeded. Check your plan and billing details."}
4
+ {"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_039c7a8fb24229a8/cli/sql_response_attempt_2.raw.txt ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {"type":"thread.started","thread_id":"019e4104-608d-7ba0-a976-e4c19aac1a5f"}
2
+ {"type":"turn.started"}
3
+ {"type":"error","message":"Quota exceeded. Check your plan and billing details."}
4
+ {"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_039c7a8fb24229a8/cli/sql_response_attempt_2.txt ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {"type":"thread.started","thread_id":"019e4104-608d-7ba0-a976-e4c19aac1a5f"}
2
+ {"type":"turn.started"}
3
+ {"type":"error","message":"Quota exceeded. Check your plan and billing details."}
4
+ {"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_039c7a8fb24229a8/cli/sql_stderr_attempt_1.txt ADDED
File without changes
Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_039c7a8fb24229a8/cli/sql_stderr_attempt_2.txt ADDED
File without changes
Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_0570e5156dbdaf3f/cli/conversation.jsonl ADDED
@@ -0,0 +1,2 @@
 
 
 
1
+ {"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 14432, "bytes_utf8": 14432, "lines": 406, "estimated_tokens": null}}
2
+ {"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": 276, "bytes_utf8": 276, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 17087, "cached_input_tokens": 15744, "output_tokens": 369, "reasoning_output_tokens": 291}}
Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_0570e5156dbdaf3f/cli/session_summary.json ADDED
@@ -0,0 +1,25 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "engine": "v2-cli:codex",
3
+ "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
4
+ "ai_cli_calls": 1,
5
+ "usage_summary": {
6
+ "dataset_id": "n7",
7
+ "model": "v2-cli:codex",
8
+ "run_id": "v2q_n7_0570e5156dbdaf3f",
9
+ "api_calls": 0,
10
+ "input_tokens": 17087,
11
+ "cached_input_tokens": 15744,
12
+ "output_tokens": 369,
13
+ "total_tokens": 17456,
14
+ "cost_usd": 0.0,
15
+ "ai_cli_calls": 1,
16
+ "estimated_input_tokens": 0,
17
+ "estimated_output_tokens": 0,
18
+ "estimated_total_tokens": 0,
19
+ "usage_source": "ai_cli_json_usage",
20
+ "cli_elapsed_ms_total": 9940.05,
21
+ "sql_execution_elapsed_ms_total": 3.53,
22
+ "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_0570e5156dbdaf3f/cli/conversation.jsonl",
23
+ "note": "Executed through a local AI CLI with structured usage metadata."
24
+ }
25
+ }
Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_0570e5156dbdaf3f/cli/sql_attempt_1.metadata.json ADDED
@@ -0,0 +1,45 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "attempt": 1,
3
+ "phase": "sql_generation",
4
+ "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
5
+ "started_at": "2026-05-19T16:08:50.657708+00:00",
6
+ "ended_at": "2026-05-19T16:09:00.597780+00:00",
7
+ "elapsed_ms": 9940.05,
8
+ "prompt_metrics": {
9
+ "chars": 14432,
10
+ "bytes_utf8": 14432,
11
+ "lines": 406,
12
+ "estimated_tokens": null
13
+ },
14
+ "stdout_metrics": {
15
+ "chars": 634,
16
+ "bytes_utf8": 634,
17
+ "lines": 4,
18
+ "estimated_tokens": null
19
+ },
20
+ "stderr_metrics": {
21
+ "chars": 0,
22
+ "bytes_utf8": 0,
23
+ "lines": 0,
24
+ "estimated_tokens": null
25
+ },
26
+ "parsed_output": {
27
+ "format": "jsonl_events",
28
+ "text_metrics": {
29
+ "chars": 276,
30
+ "bytes_utf8": 276,
31
+ "lines": 1,
32
+ "estimated_tokens": null
33
+ },
34
+ "usage": {
35
+ "input_tokens": 17087,
36
+ "cached_input_tokens": 15744,
37
+ "output_tokens": 369,
38
+ "reasoning_output_tokens": 291
39
+ }
40
+ },
41
+ "prompt_path": "cli/sql_prompt_attempt_1.txt",
42
+ "response_path": "cli/sql_response_attempt_1.txt",
43
+ "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
44
+ "stderr_path": "cli/sql_stderr_attempt_1.txt"
45
+ }
Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_0570e5156dbdaf3f/cli/sql_prompt_attempt_1.txt ADDED
@@ -0,0 +1,406 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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: n7
15
+ - dataset_name: Anuran Calls Mfccs
16
+ - table_name: n7
17
+ - table_layout: single-table dataset (do not assume joins).
18
+ - row_semantics: One row is one tabular observation with 25 feature columns and target `Family`.
19
+ - task_type: classification
20
+ - target_column: Family
21
+ - main_row_count: 7195
22
+ - important_fields:
23
+ - MFCCs_ 1: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for MFCCs 1.
24
+ - MFCCs_ 2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 2.
25
+ - MFCCs_ 3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 3.
26
+ - MFCCs_ 4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 4.
27
+ - MFCCs_ 5: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 5.
28
+ - MFCCs_ 6: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 6.
29
+ - MFCCs_ 7: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 7.
30
+ - MFCCs_ 8: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 8.
31
+ - MFCCs_ 9: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 9.
32
+ - MFCCs_10: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 10.
33
+ - MFCCs_11: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 11.
34
+ - MFCCs_12: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 12.
35
+ - MFCCs_13: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 13.
36
+ - MFCCs_14: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 14.
37
+ - MFCCs_15: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 15.
38
+ - MFCCs_16: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 16.
39
+ - MFCCs_17: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 17.
40
+ - MFCCs_18: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 18.
41
+ - MFCCs_19: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 19.
42
+ - MFCCs_20: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 20.
43
+ - MFCCs_21: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 21.
44
+ - MFCCs_22: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 22.
45
+ - Family: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Family.
46
+ - Genus: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Genus.
47
+ - Species: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Species.
48
+ - RecordID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude'] desc=Identifier-like field for RecordID.
49
+ - useful_field_combinations: [['Family', 'Genus', 'Family'], ['Family', 'MFCCs_ 1', 'Family'], ['MFCCs_ 1', 'Genus', 'Family']]
50
+ - fields_requiring_caution: ['Family', 'MFCCs_ 1']
51
+ - source_url: https://archive.ics.uci.edu/dataset/406/anuran+calls+mfccs
52
+
53
+ SQLite schema snapshot:
54
+ {
55
+ "table_name": "n7",
56
+ "quoted_table_name": "\"n7\"",
57
+ "row_count": 7195,
58
+ "columns": [
59
+ {
60
+ "name": "MFCCs_ 1",
61
+ "type": "TEXT",
62
+ "notnull": false,
63
+ "pk": false
64
+ },
65
+ {
66
+ "name": "MFCCs_ 2",
67
+ "type": "TEXT",
68
+ "notnull": false,
69
+ "pk": false
70
+ },
71
+ {
72
+ "name": "MFCCs_ 3",
73
+ "type": "TEXT",
74
+ "notnull": false,
75
+ "pk": false
76
+ },
77
+ {
78
+ "name": "MFCCs_ 4",
79
+ "type": "TEXT",
80
+ "notnull": false,
81
+ "pk": false
82
+ },
83
+ {
84
+ "name": "MFCCs_ 5",
85
+ "type": "TEXT",
86
+ "notnull": false,
87
+ "pk": false
88
+ },
89
+ {
90
+ "name": "MFCCs_ 6",
91
+ "type": "TEXT",
92
+ "notnull": false,
93
+ "pk": false
94
+ },
95
+ {
96
+ "name": "MFCCs_ 7",
97
+ "type": "TEXT",
98
+ "notnull": false,
99
+ "pk": false
100
+ },
101
+ {
102
+ "name": "MFCCs_ 8",
103
+ "type": "TEXT",
104
+ "notnull": false,
105
+ "pk": false
106
+ },
107
+ {
108
+ "name": "MFCCs_ 9",
109
+ "type": "TEXT",
110
+ "notnull": false,
111
+ "pk": false
112
+ },
113
+ {
114
+ "name": "MFCCs_10",
115
+ "type": "TEXT",
116
+ "notnull": false,
117
+ "pk": false
118
+ },
119
+ {
120
+ "name": "MFCCs_11",
121
+ "type": "TEXT",
122
+ "notnull": false,
123
+ "pk": false
124
+ },
125
+ {
126
+ "name": "MFCCs_12",
127
+ "type": "TEXT",
128
+ "notnull": false,
129
+ "pk": false
130
+ },
131
+ {
132
+ "name": "MFCCs_13",
133
+ "type": "TEXT",
134
+ "notnull": false,
135
+ "pk": false
136
+ },
137
+ {
138
+ "name": "MFCCs_14",
139
+ "type": "TEXT",
140
+ "notnull": false,
141
+ "pk": false
142
+ },
143
+ {
144
+ "name": "MFCCs_15",
145
+ "type": "TEXT",
146
+ "notnull": false,
147
+ "pk": false
148
+ },
149
+ {
150
+ "name": "MFCCs_16",
151
+ "type": "TEXT",
152
+ "notnull": false,
153
+ "pk": false
154
+ },
155
+ {
156
+ "name": "MFCCs_17",
157
+ "type": "TEXT",
158
+ "notnull": false,
159
+ "pk": false
160
+ },
161
+ {
162
+ "name": "MFCCs_18",
163
+ "type": "TEXT",
164
+ "notnull": false,
165
+ "pk": false
166
+ },
167
+ {
168
+ "name": "MFCCs_19",
169
+ "type": "TEXT",
170
+ "notnull": false,
171
+ "pk": false
172
+ },
173
+ {
174
+ "name": "MFCCs_20",
175
+ "type": "TEXT",
176
+ "notnull": false,
177
+ "pk": false
178
+ },
179
+ {
180
+ "name": "MFCCs_21",
181
+ "type": "TEXT",
182
+ "notnull": false,
183
+ "pk": false
184
+ },
185
+ {
186
+ "name": "MFCCs_22",
187
+ "type": "TEXT",
188
+ "notnull": false,
189
+ "pk": false
190
+ },
191
+ {
192
+ "name": "Family",
193
+ "type": "TEXT",
194
+ "notnull": false,
195
+ "pk": false
196
+ },
197
+ {
198
+ "name": "Genus",
199
+ "type": "TEXT",
200
+ "notnull": false,
201
+ "pk": false
202
+ },
203
+ {
204
+ "name": "Species",
205
+ "type": "TEXT",
206
+ "notnull": false,
207
+ "pk": false
208
+ },
209
+ {
210
+ "name": "RecordID",
211
+ "type": "TEXT",
212
+ "notnull": false,
213
+ "pk": false
214
+ }
215
+ ],
216
+ "sample_rows": [
217
+ {
218
+ "MFCCs_ 1": "1",
219
+ "MFCCs_ 2": "0.152936298220384",
220
+ "MFCCs_ 3": "-0.105585902844019",
221
+ "MFCCs_ 4": "0.200721914808566",
222
+ "MFCCs_ 5": "0.317201062343259",
223
+ "MFCCs_ 6": "0.260763853131077",
224
+ "MFCCs_ 7": "0.100944640810053",
225
+ "MFCCs_ 8": "-0.150062604917616",
226
+ "MFCCs_ 9": "-0.17112763198601",
227
+ "MFCCs_10": "0.124676436148438",
228
+ "MFCCs_11": "0.188654145822323",
229
+ "MFCCs_12": "-0.0756217229244772",
230
+ "MFCCs_13": "-0.156435925226375",
231
+ "MFCCs_14": "0.0822451152835443",
232
+ "MFCCs_15": "0.135752042383891",
233
+ "MFCCs_16": "-0.0240166450287792",
234
+ "MFCCs_17": "-0.108351107221198",
235
+ "MFCCs_18": "-0.0776225214037558",
236
+ "MFCCs_19": "-0.00956780151914234",
237
+ "MFCCs_20": "0.0576839754007957",
238
+ "MFCCs_21": "0.118680135068692",
239
+ "MFCCs_22": "0.0140384456733697",
240
+ "Family": "Leptodactylidae",
241
+ "Genus": "Adenomera",
242
+ "Species": "AdenomeraAndre",
243
+ "RecordID": "1"
244
+ },
245
+ {
246
+ "MFCCs_ 1": "1",
247
+ "MFCCs_ 2": "0.171534257314109",
248
+ "MFCCs_ 3": "-0.0989747371205295",
249
+ "MFCCs_ 4": "0.268425220827017",
250
+ "MFCCs_ 5": "0.338671862995453",
251
+ "MFCCs_ 6": "0.268353099863332",
252
+ "MFCCs_ 7": "0.0608350871920449",
253
+ "MFCCs_ 8": "-0.222474640379244",
254
+ "MFCCs_ 9": "-0.207692670568256",
255
+ "MFCCs_10": "0.170882873543032",
256
+ "MFCCs_11": "0.27095827998887",
257
+ "MFCCs_12": "-0.0950039445276873",
258
+ "MFCCs_13": "-0.254341468381362",
259
+ "MFCCs_14": "0.0227862345814336",
260
+ "MFCCs_15": "0.163320101050209",
261
+ "MFCCs_16": "0.0120222808645159",
262
+ "MFCCs_17": "-0.0909740108032878",
263
+ "MFCCs_18": "-0.0565095219192882",
264
+ "MFCCs_19": "-0.035303356812479",
265
+ "MFCCs_20": "0.0201399631478018",
266
+ "MFCCs_21": "0.0822629868835422",
267
+ "MFCCs_22": "0.0290557421631693",
268
+ "Family": "Leptodactylidae",
269
+ "Genus": "Adenomera",
270
+ "Species": "AdenomeraAndre",
271
+ "RecordID": "1"
272
+ },
273
+ {
274
+ "MFCCs_ 1": "1",
275
+ "MFCCs_ 2": "0.152317085189856",
276
+ "MFCCs_ 3": "-0.0829726738725973",
277
+ "MFCCs_ 4": "0.287127957306532",
278
+ "MFCCs_ 5": "0.276014083988895",
279
+ "MFCCs_ 6": "0.189866772581424",
280
+ "MFCCs_ 7": "0.00871395674901959",
281
+ "MFCCs_ 8": "-0.242234230697363",
282
+ "MFCCs_ 9": "-0.219153324384574",
283
+ "MFCCs_10": "0.232538316574083",
284
+ "MFCCs_11": "0.266064481907247",
285
+ "MFCCs_12": "-0.072827186682411",
286
+ "MFCCs_13": "-0.237383560939613",
287
+ "MFCCs_14": "0.0507907353425093",
288
+ "MFCCs_15": "0.20733840580524",
289
+ "MFCCs_16": "0.0835356991035397",
290
+ "MFCCs_17": "-0.0506914300740697",
291
+ "MFCCs_18": "-0.0235902291809596",
292
+ "MFCCs_19": "-0.0667215489148675",
293
+ "MFCCs_20": "-0.0250832267732169",
294
+ "MFCCs_21": "0.0991083997463254",
295
+ "MFCCs_22": "0.0771623846958952",
296
+ "Family": "Leptodactylidae",
297
+ "Genus": "Adenomera",
298
+ "Species": "AdenomeraAndre",
299
+ "RecordID": "1"
300
+ },
301
+ {
302
+ "MFCCs_ 1": "1",
303
+ "MFCCs_ 2": "0.22439244572155",
304
+ "MFCCs_ 3": "0.118984663992927",
305
+ "MFCCs_ 4": "0.329431728991851",
306
+ "MFCCs_ 5": "0.37208800967925",
307
+ "MFCCs_ 6": "0.36100456768708",
308
+ "MFCCs_ 7": "0.0155010402636969",
309
+ "MFCCs_ 8": "-0.1943474518771",
310
+ "MFCCs_ 9": "-0.0981806677778217",
311
+ "MFCCs_10": "0.270375424774079",
312
+ "MFCCs_11": "0.267278909389666",
313
+ "MFCCs_12": "-0.162258251525887",
314
+ "MFCCs_13": "-0.317084231097501",
315
+ "MFCCs_14": "-0.0115674334348972",
316
+ "MFCCs_15": "0.100412825039324",
317
+ "MFCCs_16": "-0.0502237308220074",
318
+ "MFCCs_17": "-0.13600940404278",
319
+ "MFCCs_18": "-0.177037008525031",
320
+ "MFCCs_19": "-0.130498132704666",
321
+ "MFCCs_20": "-0.0547663962602304",
322
+ "MFCCs_21": "-0.018691446529289",
323
+ "MFCCs_22": "0.0239543085482256",
324
+ "Family": "Leptodactylidae",
325
+ "Genus": "Adenomera",
326
+ "Species": "AdenomeraAndre",
327
+ "RecordID": "1"
328
+ },
329
+ {
330
+ "MFCCs_ 1": "1",
331
+ "MFCCs_ 2": "0.0878169091598283",
332
+ "MFCCs_ 3": "-0.0683448878848087",
333
+ "MFCCs_ 4": "0.306966720688553",
334
+ "MFCCs_ 5": "0.330922940689476",
335
+ "MFCCs_ 6": "0.249143914245263",
336
+ "MFCCs_ 7": "0.00688371297114425",
337
+ "MFCCs_ 8": "-0.265423361986448",
338
+ "MFCCs_ 9": "-0.172699811727761",
339
+ "MFCCs_10": "0.266434260043502",
340
+ "MFCCs_11": "0.332695149242033",
341
+ "MFCCs_12": "-0.100748543620898",
342
+ "MFCCs_13": "-0.298523875475902",
343
+ "MFCCs_14": "0.037438885320215",
344
+ "MFCCs_15": "0.219152827231289",
345
+ "MFCCs_16": "0.0628372293931531",
346
+ "MFCCs_17": "-0.0488846180288039",
347
+ "MFCCs_18": "-0.0530735072212773",
348
+ "MFCCs_19": "-0.0885504031444007",
349
+ "MFCCs_20": "-0.0313455727580116",
350
+ "MFCCs_21": "0.108609831720118",
351
+ "MFCCs_22": "0.0792443322969332",
352
+ "Family": "Leptodactylidae",
353
+ "Genus": "Adenomera",
354
+ "Species": "AdenomeraAndre",
355
+ "RecordID": "1"
356
+ }
357
+ ]
358
+ }
359
+
360
+ Shortlisted templates:
361
+ [
362
+ {
363
+ "template_id": "tpl_clickbench_group_count",
364
+ "template_name": "Grouped Count by Category",
365
+ "primary_family": "subgroup_structure",
366
+ "portability": "yes",
367
+ "sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;",
368
+ "required_roles": [
369
+ "group_col"
370
+ ]
371
+ }
372
+ ]
373
+
374
+ Problem instance:
375
+ {
376
+ "dataset_id": "n7",
377
+ "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=Family.",
378
+ "planned_template_id": "tpl_clickbench_group_count",
379
+ "bindings": {
380
+ "group_col": "Family",
381
+ "top_k": 12,
382
+ "top_n": 3,
383
+ "num_tiles": 10,
384
+ "percentile_value": 0.95,
385
+ "z_threshold": 2.0,
386
+ "fraction_threshold": 0.1,
387
+ "baseline_multiplier": 1.5,
388
+ "baseline_fraction": 0.1,
389
+ "min_group_size": 5,
390
+ "min_support": 5,
391
+ "measure_threshold": 0.324589,
392
+ "time_grain": "month",
393
+ "lookback_rows": 3,
394
+ "current_period_start": "'2024-01-01'",
395
+ "current_period_end": "'2024-04-01'",
396
+ "previous_period_start": "'2023-10-01'",
397
+ "previous_period_end": "'2024-01-01'",
398
+ "drift_ratio_threshold": 0.8
399
+ },
400
+ "can_vary": [],
401
+ "must_fix": [],
402
+ "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;"
403
+ }
404
+
405
+ Repair context:
406
+ {}
Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_0570e5156dbdaf3f/cli/sql_response_attempt_1.raw.txt ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {"type":"thread.started","thread_id":"019e40ff-41e2-70d3-9a04-d1ec2d76721f"}
2
+ {"type":"turn.started"}
3
+ {"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"Family\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"n7\\\"\\nGROUP BY \\\"Family\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Uses the provided grouped-count template with group_col bound to \\\"Family\\\" on the single table \\\"n7\\\".\"}"}}
4
+ {"type":"turn.completed","usage":{"input_tokens":17087,"cached_input_tokens":15744,"output_tokens":369,"reasoning_output_tokens":291}}
Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_0570e5156dbdaf3f/cli/sql_response_attempt_1.txt ADDED
@@ -0,0 +1 @@
 
 
1
+ {"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"Family\", COUNT(*) AS \"row_count\"\nFROM \"n7\"\nGROUP BY \"Family\"\nORDER BY \"row_count\" DESC;","notes":"Uses the provided grouped-count template with group_col bound to \"Family\" on the single table \"n7\"."}
Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_0570e5156dbdaf3f/cli/sql_stderr_attempt_1.txt ADDED
File without changes
Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_06eda542eccea118/cli/sql_attempt_1.metadata.json ADDED
@@ -0,0 +1,43 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "attempt": 1,
3
+ "phase": "sql_generation",
4
+ "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
5
+ "started_at": "2026-05-19T16:15:27.861619+00:00",
6
+ "ended_at": "2026-05-19T16:15:33.307165+00:00",
7
+ "elapsed_ms": 5445.52,
8
+ "returncode": 1,
9
+ "prompt_metrics": {
10
+ "chars": 15075,
11
+ "bytes_utf8": 15075,
12
+ "lines": 408,
13
+ "estimated_tokens": null
14
+ },
15
+ "stdout_metrics": {
16
+ "chars": 281,
17
+ "bytes_utf8": 281,
18
+ "lines": 4,
19
+ "estimated_tokens": null
20
+ },
21
+ "stderr_metrics": {
22
+ "chars": 0,
23
+ "bytes_utf8": 0,
24
+ "lines": 0,
25
+ "estimated_tokens": null
26
+ },
27
+ "parsed_output": {
28
+ "format": "jsonl_events",
29
+ "text_metrics": {
30
+ "chars": 280,
31
+ "bytes_utf8": 280,
32
+ "lines": 4,
33
+ "estimated_tokens": null
34
+ },
35
+ "usage": {}
36
+ },
37
+ "status": "failed",
38
+ "error": "AI CLI command failed with exit code 1: ",
39
+ "prompt_path": "cli/sql_prompt_attempt_1.txt",
40
+ "response_path": "cli/sql_response_attempt_1.txt",
41
+ "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
42
+ "stderr_path": "cli/sql_stderr_attempt_1.txt"
43
+ }
Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_06eda542eccea118/cli/sql_attempt_2.metadata.json ADDED
@@ -0,0 +1,43 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "attempt": 2,
3
+ "phase": "sql_generation",
4
+ "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
5
+ "started_at": "2026-05-19T16:15:34.309074+00:00",
6
+ "ended_at": "2026-05-19T16:15:37.625779+00:00",
7
+ "elapsed_ms": 3316.67,
8
+ "returncode": 1,
9
+ "prompt_metrics": {
10
+ "chars": 15075,
11
+ "bytes_utf8": 15075,
12
+ "lines": 408,
13
+ "estimated_tokens": null
14
+ },
15
+ "stdout_metrics": {
16
+ "chars": 281,
17
+ "bytes_utf8": 281,
18
+ "lines": 4,
19
+ "estimated_tokens": null
20
+ },
21
+ "stderr_metrics": {
22
+ "chars": 0,
23
+ "bytes_utf8": 0,
24
+ "lines": 0,
25
+ "estimated_tokens": null
26
+ },
27
+ "parsed_output": {
28
+ "format": "jsonl_events",
29
+ "text_metrics": {
30
+ "chars": 280,
31
+ "bytes_utf8": 280,
32
+ "lines": 4,
33
+ "estimated_tokens": null
34
+ },
35
+ "usage": {}
36
+ },
37
+ "status": "failed",
38
+ "error": "AI CLI command failed with exit code 1: ",
39
+ "prompt_path": "cli/sql_prompt_attempt_2.txt",
40
+ "response_path": "cli/sql_response_attempt_2.txt",
41
+ "raw_response_path": "cli/sql_response_attempt_2.raw.txt",
42
+ "stderr_path": "cli/sql_stderr_attempt_2.txt"
43
+ }
Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_06eda542eccea118/cli/sql_prompt_attempt_1.txt ADDED
@@ -0,0 +1,408 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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: n7
15
+ - dataset_name: Anuran Calls Mfccs
16
+ - table_name: n7
17
+ - table_layout: single-table dataset (do not assume joins).
18
+ - row_semantics: One row is one tabular observation with 25 feature columns and target `Family`.
19
+ - task_type: classification
20
+ - target_column: Family
21
+ - main_row_count: 7195
22
+ - important_fields:
23
+ - MFCCs_ 1: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for MFCCs 1.
24
+ - MFCCs_ 2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 2.
25
+ - MFCCs_ 3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 3.
26
+ - MFCCs_ 4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 4.
27
+ - MFCCs_ 5: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 5.
28
+ - MFCCs_ 6: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 6.
29
+ - MFCCs_ 7: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 7.
30
+ - MFCCs_ 8: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 8.
31
+ - MFCCs_ 9: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 9.
32
+ - MFCCs_10: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 10.
33
+ - MFCCs_11: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 11.
34
+ - MFCCs_12: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 12.
35
+ - MFCCs_13: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 13.
36
+ - MFCCs_14: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 14.
37
+ - MFCCs_15: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 15.
38
+ - MFCCs_16: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 16.
39
+ - MFCCs_17: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 17.
40
+ - MFCCs_18: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 18.
41
+ - MFCCs_19: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 19.
42
+ - MFCCs_20: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 20.
43
+ - MFCCs_21: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 21.
44
+ - MFCCs_22: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 22.
45
+ - Family: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Family.
46
+ - Genus: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Genus.
47
+ - Species: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Species.
48
+ - RecordID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude'] desc=Identifier-like field for RecordID.
49
+ - useful_field_combinations: [['Family', 'Genus', 'Family'], ['Family', 'MFCCs_ 1', 'Family'], ['MFCCs_ 1', 'Genus', 'Family']]
50
+ - fields_requiring_caution: ['Family', 'MFCCs_ 1']
51
+ - source_url: https://archive.ics.uci.edu/dataset/406/anuran+calls+mfccs
52
+
53
+ SQLite schema snapshot:
54
+ {
55
+ "table_name": "n7",
56
+ "quoted_table_name": "\"n7\"",
57
+ "row_count": 7195,
58
+ "columns": [
59
+ {
60
+ "name": "MFCCs_ 1",
61
+ "type": "TEXT",
62
+ "notnull": false,
63
+ "pk": false
64
+ },
65
+ {
66
+ "name": "MFCCs_ 2",
67
+ "type": "TEXT",
68
+ "notnull": false,
69
+ "pk": false
70
+ },
71
+ {
72
+ "name": "MFCCs_ 3",
73
+ "type": "TEXT",
74
+ "notnull": false,
75
+ "pk": false
76
+ },
77
+ {
78
+ "name": "MFCCs_ 4",
79
+ "type": "TEXT",
80
+ "notnull": false,
81
+ "pk": false
82
+ },
83
+ {
84
+ "name": "MFCCs_ 5",
85
+ "type": "TEXT",
86
+ "notnull": false,
87
+ "pk": false
88
+ },
89
+ {
90
+ "name": "MFCCs_ 6",
91
+ "type": "TEXT",
92
+ "notnull": false,
93
+ "pk": false
94
+ },
95
+ {
96
+ "name": "MFCCs_ 7",
97
+ "type": "TEXT",
98
+ "notnull": false,
99
+ "pk": false
100
+ },
101
+ {
102
+ "name": "MFCCs_ 8",
103
+ "type": "TEXT",
104
+ "notnull": false,
105
+ "pk": false
106
+ },
107
+ {
108
+ "name": "MFCCs_ 9",
109
+ "type": "TEXT",
110
+ "notnull": false,
111
+ "pk": false
112
+ },
113
+ {
114
+ "name": "MFCCs_10",
115
+ "type": "TEXT",
116
+ "notnull": false,
117
+ "pk": false
118
+ },
119
+ {
120
+ "name": "MFCCs_11",
121
+ "type": "TEXT",
122
+ "notnull": false,
123
+ "pk": false
124
+ },
125
+ {
126
+ "name": "MFCCs_12",
127
+ "type": "TEXT",
128
+ "notnull": false,
129
+ "pk": false
130
+ },
131
+ {
132
+ "name": "MFCCs_13",
133
+ "type": "TEXT",
134
+ "notnull": false,
135
+ "pk": false
136
+ },
137
+ {
138
+ "name": "MFCCs_14",
139
+ "type": "TEXT",
140
+ "notnull": false,
141
+ "pk": false
142
+ },
143
+ {
144
+ "name": "MFCCs_15",
145
+ "type": "TEXT",
146
+ "notnull": false,
147
+ "pk": false
148
+ },
149
+ {
150
+ "name": "MFCCs_16",
151
+ "type": "TEXT",
152
+ "notnull": false,
153
+ "pk": false
154
+ },
155
+ {
156
+ "name": "MFCCs_17",
157
+ "type": "TEXT",
158
+ "notnull": false,
159
+ "pk": false
160
+ },
161
+ {
162
+ "name": "MFCCs_18",
163
+ "type": "TEXT",
164
+ "notnull": false,
165
+ "pk": false
166
+ },
167
+ {
168
+ "name": "MFCCs_19",
169
+ "type": "TEXT",
170
+ "notnull": false,
171
+ "pk": false
172
+ },
173
+ {
174
+ "name": "MFCCs_20",
175
+ "type": "TEXT",
176
+ "notnull": false,
177
+ "pk": false
178
+ },
179
+ {
180
+ "name": "MFCCs_21",
181
+ "type": "TEXT",
182
+ "notnull": false,
183
+ "pk": false
184
+ },
185
+ {
186
+ "name": "MFCCs_22",
187
+ "type": "TEXT",
188
+ "notnull": false,
189
+ "pk": false
190
+ },
191
+ {
192
+ "name": "Family",
193
+ "type": "TEXT",
194
+ "notnull": false,
195
+ "pk": false
196
+ },
197
+ {
198
+ "name": "Genus",
199
+ "type": "TEXT",
200
+ "notnull": false,
201
+ "pk": false
202
+ },
203
+ {
204
+ "name": "Species",
205
+ "type": "TEXT",
206
+ "notnull": false,
207
+ "pk": false
208
+ },
209
+ {
210
+ "name": "RecordID",
211
+ "type": "TEXT",
212
+ "notnull": false,
213
+ "pk": false
214
+ }
215
+ ],
216
+ "sample_rows": [
217
+ {
218
+ "MFCCs_ 1": "1",
219
+ "MFCCs_ 2": "0.152936298220384",
220
+ "MFCCs_ 3": "-0.105585902844019",
221
+ "MFCCs_ 4": "0.200721914808566",
222
+ "MFCCs_ 5": "0.317201062343259",
223
+ "MFCCs_ 6": "0.260763853131077",
224
+ "MFCCs_ 7": "0.100944640810053",
225
+ "MFCCs_ 8": "-0.150062604917616",
226
+ "MFCCs_ 9": "-0.17112763198601",
227
+ "MFCCs_10": "0.124676436148438",
228
+ "MFCCs_11": "0.188654145822323",
229
+ "MFCCs_12": "-0.0756217229244772",
230
+ "MFCCs_13": "-0.156435925226375",
231
+ "MFCCs_14": "0.0822451152835443",
232
+ "MFCCs_15": "0.135752042383891",
233
+ "MFCCs_16": "-0.0240166450287792",
234
+ "MFCCs_17": "-0.108351107221198",
235
+ "MFCCs_18": "-0.0776225214037558",
236
+ "MFCCs_19": "-0.00956780151914234",
237
+ "MFCCs_20": "0.0576839754007957",
238
+ "MFCCs_21": "0.118680135068692",
239
+ "MFCCs_22": "0.0140384456733697",
240
+ "Family": "Leptodactylidae",
241
+ "Genus": "Adenomera",
242
+ "Species": "AdenomeraAndre",
243
+ "RecordID": "1"
244
+ },
245
+ {
246
+ "MFCCs_ 1": "1",
247
+ "MFCCs_ 2": "0.171534257314109",
248
+ "MFCCs_ 3": "-0.0989747371205295",
249
+ "MFCCs_ 4": "0.268425220827017",
250
+ "MFCCs_ 5": "0.338671862995453",
251
+ "MFCCs_ 6": "0.268353099863332",
252
+ "MFCCs_ 7": "0.0608350871920449",
253
+ "MFCCs_ 8": "-0.222474640379244",
254
+ "MFCCs_ 9": "-0.207692670568256",
255
+ "MFCCs_10": "0.170882873543032",
256
+ "MFCCs_11": "0.27095827998887",
257
+ "MFCCs_12": "-0.0950039445276873",
258
+ "MFCCs_13": "-0.254341468381362",
259
+ "MFCCs_14": "0.0227862345814336",
260
+ "MFCCs_15": "0.163320101050209",
261
+ "MFCCs_16": "0.0120222808645159",
262
+ "MFCCs_17": "-0.0909740108032878",
263
+ "MFCCs_18": "-0.0565095219192882",
264
+ "MFCCs_19": "-0.035303356812479",
265
+ "MFCCs_20": "0.0201399631478018",
266
+ "MFCCs_21": "0.0822629868835422",
267
+ "MFCCs_22": "0.0290557421631693",
268
+ "Family": "Leptodactylidae",
269
+ "Genus": "Adenomera",
270
+ "Species": "AdenomeraAndre",
271
+ "RecordID": "1"
272
+ },
273
+ {
274
+ "MFCCs_ 1": "1",
275
+ "MFCCs_ 2": "0.152317085189856",
276
+ "MFCCs_ 3": "-0.0829726738725973",
277
+ "MFCCs_ 4": "0.287127957306532",
278
+ "MFCCs_ 5": "0.276014083988895",
279
+ "MFCCs_ 6": "0.189866772581424",
280
+ "MFCCs_ 7": "0.00871395674901959",
281
+ "MFCCs_ 8": "-0.242234230697363",
282
+ "MFCCs_ 9": "-0.219153324384574",
283
+ "MFCCs_10": "0.232538316574083",
284
+ "MFCCs_11": "0.266064481907247",
285
+ "MFCCs_12": "-0.072827186682411",
286
+ "MFCCs_13": "-0.237383560939613",
287
+ "MFCCs_14": "0.0507907353425093",
288
+ "MFCCs_15": "0.20733840580524",
289
+ "MFCCs_16": "0.0835356991035397",
290
+ "MFCCs_17": "-0.0506914300740697",
291
+ "MFCCs_18": "-0.0235902291809596",
292
+ "MFCCs_19": "-0.0667215489148675",
293
+ "MFCCs_20": "-0.0250832267732169",
294
+ "MFCCs_21": "0.0991083997463254",
295
+ "MFCCs_22": "0.0771623846958952",
296
+ "Family": "Leptodactylidae",
297
+ "Genus": "Adenomera",
298
+ "Species": "AdenomeraAndre",
299
+ "RecordID": "1"
300
+ },
301
+ {
302
+ "MFCCs_ 1": "1",
303
+ "MFCCs_ 2": "0.22439244572155",
304
+ "MFCCs_ 3": "0.118984663992927",
305
+ "MFCCs_ 4": "0.329431728991851",
306
+ "MFCCs_ 5": "0.37208800967925",
307
+ "MFCCs_ 6": "0.36100456768708",
308
+ "MFCCs_ 7": "0.0155010402636969",
309
+ "MFCCs_ 8": "-0.1943474518771",
310
+ "MFCCs_ 9": "-0.0981806677778217",
311
+ "MFCCs_10": "0.270375424774079",
312
+ "MFCCs_11": "0.267278909389666",
313
+ "MFCCs_12": "-0.162258251525887",
314
+ "MFCCs_13": "-0.317084231097501",
315
+ "MFCCs_14": "-0.0115674334348972",
316
+ "MFCCs_15": "0.100412825039324",
317
+ "MFCCs_16": "-0.0502237308220074",
318
+ "MFCCs_17": "-0.13600940404278",
319
+ "MFCCs_18": "-0.177037008525031",
320
+ "MFCCs_19": "-0.130498132704666",
321
+ "MFCCs_20": "-0.0547663962602304",
322
+ "MFCCs_21": "-0.018691446529289",
323
+ "MFCCs_22": "0.0239543085482256",
324
+ "Family": "Leptodactylidae",
325
+ "Genus": "Adenomera",
326
+ "Species": "AdenomeraAndre",
327
+ "RecordID": "1"
328
+ },
329
+ {
330
+ "MFCCs_ 1": "1",
331
+ "MFCCs_ 2": "0.0878169091598283",
332
+ "MFCCs_ 3": "-0.0683448878848087",
333
+ "MFCCs_ 4": "0.306966720688553",
334
+ "MFCCs_ 5": "0.330922940689476",
335
+ "MFCCs_ 6": "0.249143914245263",
336
+ "MFCCs_ 7": "0.00688371297114425",
337
+ "MFCCs_ 8": "-0.265423361986448",
338
+ "MFCCs_ 9": "-0.172699811727761",
339
+ "MFCCs_10": "0.266434260043502",
340
+ "MFCCs_11": "0.332695149242033",
341
+ "MFCCs_12": "-0.100748543620898",
342
+ "MFCCs_13": "-0.298523875475902",
343
+ "MFCCs_14": "0.037438885320215",
344
+ "MFCCs_15": "0.219152827231289",
345
+ "MFCCs_16": "0.0628372293931531",
346
+ "MFCCs_17": "-0.0488846180288039",
347
+ "MFCCs_18": "-0.0530735072212773",
348
+ "MFCCs_19": "-0.0885504031444007",
349
+ "MFCCs_20": "-0.0313455727580116",
350
+ "MFCCs_21": "0.108609831720118",
351
+ "MFCCs_22": "0.0792443322969332",
352
+ "Family": "Leptodactylidae",
353
+ "Genus": "Adenomera",
354
+ "Species": "AdenomeraAndre",
355
+ "RecordID": "1"
356
+ }
357
+ ]
358
+ }
359
+
360
+ Shortlisted templates:
361
+ [
362
+ {
363
+ "template_id": "tpl_tpch_relative_total_threshold",
364
+ "template_name": "Relative-to-Total Extreme Threshold",
365
+ "primary_family": "tail_rarity_structure",
366
+ "portability": "partial",
367
+ "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;",
368
+ "required_roles": [
369
+ "group_col",
370
+ "measure_col"
371
+ ]
372
+ }
373
+ ]
374
+
375
+ Problem instance:
376
+ {
377
+ "dataset_id": "n7",
378
+ "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=Genus, measure_col=MFCCs_ 5.",
379
+ "planned_template_id": "tpl_tpch_relative_total_threshold",
380
+ "bindings": {
381
+ "group_col": "Genus",
382
+ "measure_col": "MFCCs_ 5",
383
+ "top_k": 13,
384
+ "top_n": 4,
385
+ "num_tiles": 10,
386
+ "percentile_value": 0.9,
387
+ "z_threshold": 2.0,
388
+ "fraction_threshold": 0.1,
389
+ "baseline_multiplier": 1.5,
390
+ "baseline_fraction": 0.1,
391
+ "min_group_size": 5,
392
+ "min_support": 5,
393
+ "measure_threshold": 0.222592,
394
+ "time_grain": "month",
395
+ "lookback_rows": 3,
396
+ "current_period_start": "'2024-01-01'",
397
+ "current_period_end": "'2024-04-01'",
398
+ "previous_period_start": "'2023-10-01'",
399
+ "previous_period_end": "'2024-01-01'",
400
+ "drift_ratio_threshold": 0.8
401
+ },
402
+ "can_vary": [],
403
+ "must_fix": [],
404
+ "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;"
405
+ }
406
+
407
+ Repair context:
408
+ {}
Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_06eda542eccea118/cli/sql_prompt_attempt_2.txt ADDED
@@ -0,0 +1,408 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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: n7
15
+ - dataset_name: Anuran Calls Mfccs
16
+ - table_name: n7
17
+ - table_layout: single-table dataset (do not assume joins).
18
+ - row_semantics: One row is one tabular observation with 25 feature columns and target `Family`.
19
+ - task_type: classification
20
+ - target_column: Family
21
+ - main_row_count: 7195
22
+ - important_fields:
23
+ - MFCCs_ 1: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for MFCCs 1.
24
+ - MFCCs_ 2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 2.
25
+ - MFCCs_ 3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 3.
26
+ - MFCCs_ 4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 4.
27
+ - MFCCs_ 5: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 5.
28
+ - MFCCs_ 6: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 6.
29
+ - MFCCs_ 7: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 7.
30
+ - MFCCs_ 8: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 8.
31
+ - MFCCs_ 9: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 9.
32
+ - MFCCs_10: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 10.
33
+ - MFCCs_11: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 11.
34
+ - MFCCs_12: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 12.
35
+ - MFCCs_13: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 13.
36
+ - MFCCs_14: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 14.
37
+ - MFCCs_15: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 15.
38
+ - MFCCs_16: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 16.
39
+ - MFCCs_17: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 17.
40
+ - MFCCs_18: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 18.
41
+ - MFCCs_19: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 19.
42
+ - MFCCs_20: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 20.
43
+ - MFCCs_21: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 21.
44
+ - MFCCs_22: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 22.
45
+ - Family: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Family.
46
+ - Genus: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Genus.
47
+ - Species: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Species.
48
+ - RecordID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude'] desc=Identifier-like field for RecordID.
49
+ - useful_field_combinations: [['Family', 'Genus', 'Family'], ['Family', 'MFCCs_ 1', 'Family'], ['MFCCs_ 1', 'Genus', 'Family']]
50
+ - fields_requiring_caution: ['Family', 'MFCCs_ 1']
51
+ - source_url: https://archive.ics.uci.edu/dataset/406/anuran+calls+mfccs
52
+
53
+ SQLite schema snapshot:
54
+ {
55
+ "table_name": "n7",
56
+ "quoted_table_name": "\"n7\"",
57
+ "row_count": 7195,
58
+ "columns": [
59
+ {
60
+ "name": "MFCCs_ 1",
61
+ "type": "TEXT",
62
+ "notnull": false,
63
+ "pk": false
64
+ },
65
+ {
66
+ "name": "MFCCs_ 2",
67
+ "type": "TEXT",
68
+ "notnull": false,
69
+ "pk": false
70
+ },
71
+ {
72
+ "name": "MFCCs_ 3",
73
+ "type": "TEXT",
74
+ "notnull": false,
75
+ "pk": false
76
+ },
77
+ {
78
+ "name": "MFCCs_ 4",
79
+ "type": "TEXT",
80
+ "notnull": false,
81
+ "pk": false
82
+ },
83
+ {
84
+ "name": "MFCCs_ 5",
85
+ "type": "TEXT",
86
+ "notnull": false,
87
+ "pk": false
88
+ },
89
+ {
90
+ "name": "MFCCs_ 6",
91
+ "type": "TEXT",
92
+ "notnull": false,
93
+ "pk": false
94
+ },
95
+ {
96
+ "name": "MFCCs_ 7",
97
+ "type": "TEXT",
98
+ "notnull": false,
99
+ "pk": false
100
+ },
101
+ {
102
+ "name": "MFCCs_ 8",
103
+ "type": "TEXT",
104
+ "notnull": false,
105
+ "pk": false
106
+ },
107
+ {
108
+ "name": "MFCCs_ 9",
109
+ "type": "TEXT",
110
+ "notnull": false,
111
+ "pk": false
112
+ },
113
+ {
114
+ "name": "MFCCs_10",
115
+ "type": "TEXT",
116
+ "notnull": false,
117
+ "pk": false
118
+ },
119
+ {
120
+ "name": "MFCCs_11",
121
+ "type": "TEXT",
122
+ "notnull": false,
123
+ "pk": false
124
+ },
125
+ {
126
+ "name": "MFCCs_12",
127
+ "type": "TEXT",
128
+ "notnull": false,
129
+ "pk": false
130
+ },
131
+ {
132
+ "name": "MFCCs_13",
133
+ "type": "TEXT",
134
+ "notnull": false,
135
+ "pk": false
136
+ },
137
+ {
138
+ "name": "MFCCs_14",
139
+ "type": "TEXT",
140
+ "notnull": false,
141
+ "pk": false
142
+ },
143
+ {
144
+ "name": "MFCCs_15",
145
+ "type": "TEXT",
146
+ "notnull": false,
147
+ "pk": false
148
+ },
149
+ {
150
+ "name": "MFCCs_16",
151
+ "type": "TEXT",
152
+ "notnull": false,
153
+ "pk": false
154
+ },
155
+ {
156
+ "name": "MFCCs_17",
157
+ "type": "TEXT",
158
+ "notnull": false,
159
+ "pk": false
160
+ },
161
+ {
162
+ "name": "MFCCs_18",
163
+ "type": "TEXT",
164
+ "notnull": false,
165
+ "pk": false
166
+ },
167
+ {
168
+ "name": "MFCCs_19",
169
+ "type": "TEXT",
170
+ "notnull": false,
171
+ "pk": false
172
+ },
173
+ {
174
+ "name": "MFCCs_20",
175
+ "type": "TEXT",
176
+ "notnull": false,
177
+ "pk": false
178
+ },
179
+ {
180
+ "name": "MFCCs_21",
181
+ "type": "TEXT",
182
+ "notnull": false,
183
+ "pk": false
184
+ },
185
+ {
186
+ "name": "MFCCs_22",
187
+ "type": "TEXT",
188
+ "notnull": false,
189
+ "pk": false
190
+ },
191
+ {
192
+ "name": "Family",
193
+ "type": "TEXT",
194
+ "notnull": false,
195
+ "pk": false
196
+ },
197
+ {
198
+ "name": "Genus",
199
+ "type": "TEXT",
200
+ "notnull": false,
201
+ "pk": false
202
+ },
203
+ {
204
+ "name": "Species",
205
+ "type": "TEXT",
206
+ "notnull": false,
207
+ "pk": false
208
+ },
209
+ {
210
+ "name": "RecordID",
211
+ "type": "TEXT",
212
+ "notnull": false,
213
+ "pk": false
214
+ }
215
+ ],
216
+ "sample_rows": [
217
+ {
218
+ "MFCCs_ 1": "1",
219
+ "MFCCs_ 2": "0.152936298220384",
220
+ "MFCCs_ 3": "-0.105585902844019",
221
+ "MFCCs_ 4": "0.200721914808566",
222
+ "MFCCs_ 5": "0.317201062343259",
223
+ "MFCCs_ 6": "0.260763853131077",
224
+ "MFCCs_ 7": "0.100944640810053",
225
+ "MFCCs_ 8": "-0.150062604917616",
226
+ "MFCCs_ 9": "-0.17112763198601",
227
+ "MFCCs_10": "0.124676436148438",
228
+ "MFCCs_11": "0.188654145822323",
229
+ "MFCCs_12": "-0.0756217229244772",
230
+ "MFCCs_13": "-0.156435925226375",
231
+ "MFCCs_14": "0.0822451152835443",
232
+ "MFCCs_15": "0.135752042383891",
233
+ "MFCCs_16": "-0.0240166450287792",
234
+ "MFCCs_17": "-0.108351107221198",
235
+ "MFCCs_18": "-0.0776225214037558",
236
+ "MFCCs_19": "-0.00956780151914234",
237
+ "MFCCs_20": "0.0576839754007957",
238
+ "MFCCs_21": "0.118680135068692",
239
+ "MFCCs_22": "0.0140384456733697",
240
+ "Family": "Leptodactylidae",
241
+ "Genus": "Adenomera",
242
+ "Species": "AdenomeraAndre",
243
+ "RecordID": "1"
244
+ },
245
+ {
246
+ "MFCCs_ 1": "1",
247
+ "MFCCs_ 2": "0.171534257314109",
248
+ "MFCCs_ 3": "-0.0989747371205295",
249
+ "MFCCs_ 4": "0.268425220827017",
250
+ "MFCCs_ 5": "0.338671862995453",
251
+ "MFCCs_ 6": "0.268353099863332",
252
+ "MFCCs_ 7": "0.0608350871920449",
253
+ "MFCCs_ 8": "-0.222474640379244",
254
+ "MFCCs_ 9": "-0.207692670568256",
255
+ "MFCCs_10": "0.170882873543032",
256
+ "MFCCs_11": "0.27095827998887",
257
+ "MFCCs_12": "-0.0950039445276873",
258
+ "MFCCs_13": "-0.254341468381362",
259
+ "MFCCs_14": "0.0227862345814336",
260
+ "MFCCs_15": "0.163320101050209",
261
+ "MFCCs_16": "0.0120222808645159",
262
+ "MFCCs_17": "-0.0909740108032878",
263
+ "MFCCs_18": "-0.0565095219192882",
264
+ "MFCCs_19": "-0.035303356812479",
265
+ "MFCCs_20": "0.0201399631478018",
266
+ "MFCCs_21": "0.0822629868835422",
267
+ "MFCCs_22": "0.0290557421631693",
268
+ "Family": "Leptodactylidae",
269
+ "Genus": "Adenomera",
270
+ "Species": "AdenomeraAndre",
271
+ "RecordID": "1"
272
+ },
273
+ {
274
+ "MFCCs_ 1": "1",
275
+ "MFCCs_ 2": "0.152317085189856",
276
+ "MFCCs_ 3": "-0.0829726738725973",
277
+ "MFCCs_ 4": "0.287127957306532",
278
+ "MFCCs_ 5": "0.276014083988895",
279
+ "MFCCs_ 6": "0.189866772581424",
280
+ "MFCCs_ 7": "0.00871395674901959",
281
+ "MFCCs_ 8": "-0.242234230697363",
282
+ "MFCCs_ 9": "-0.219153324384574",
283
+ "MFCCs_10": "0.232538316574083",
284
+ "MFCCs_11": "0.266064481907247",
285
+ "MFCCs_12": "-0.072827186682411",
286
+ "MFCCs_13": "-0.237383560939613",
287
+ "MFCCs_14": "0.0507907353425093",
288
+ "MFCCs_15": "0.20733840580524",
289
+ "MFCCs_16": "0.0835356991035397",
290
+ "MFCCs_17": "-0.0506914300740697",
291
+ "MFCCs_18": "-0.0235902291809596",
292
+ "MFCCs_19": "-0.0667215489148675",
293
+ "MFCCs_20": "-0.0250832267732169",
294
+ "MFCCs_21": "0.0991083997463254",
295
+ "MFCCs_22": "0.0771623846958952",
296
+ "Family": "Leptodactylidae",
297
+ "Genus": "Adenomera",
298
+ "Species": "AdenomeraAndre",
299
+ "RecordID": "1"
300
+ },
301
+ {
302
+ "MFCCs_ 1": "1",
303
+ "MFCCs_ 2": "0.22439244572155",
304
+ "MFCCs_ 3": "0.118984663992927",
305
+ "MFCCs_ 4": "0.329431728991851",
306
+ "MFCCs_ 5": "0.37208800967925",
307
+ "MFCCs_ 6": "0.36100456768708",
308
+ "MFCCs_ 7": "0.0155010402636969",
309
+ "MFCCs_ 8": "-0.1943474518771",
310
+ "MFCCs_ 9": "-0.0981806677778217",
311
+ "MFCCs_10": "0.270375424774079",
312
+ "MFCCs_11": "0.267278909389666",
313
+ "MFCCs_12": "-0.162258251525887",
314
+ "MFCCs_13": "-0.317084231097501",
315
+ "MFCCs_14": "-0.0115674334348972",
316
+ "MFCCs_15": "0.100412825039324",
317
+ "MFCCs_16": "-0.0502237308220074",
318
+ "MFCCs_17": "-0.13600940404278",
319
+ "MFCCs_18": "-0.177037008525031",
320
+ "MFCCs_19": "-0.130498132704666",
321
+ "MFCCs_20": "-0.0547663962602304",
322
+ "MFCCs_21": "-0.018691446529289",
323
+ "MFCCs_22": "0.0239543085482256",
324
+ "Family": "Leptodactylidae",
325
+ "Genus": "Adenomera",
326
+ "Species": "AdenomeraAndre",
327
+ "RecordID": "1"
328
+ },
329
+ {
330
+ "MFCCs_ 1": "1",
331
+ "MFCCs_ 2": "0.0878169091598283",
332
+ "MFCCs_ 3": "-0.0683448878848087",
333
+ "MFCCs_ 4": "0.306966720688553",
334
+ "MFCCs_ 5": "0.330922940689476",
335
+ "MFCCs_ 6": "0.249143914245263",
336
+ "MFCCs_ 7": "0.00688371297114425",
337
+ "MFCCs_ 8": "-0.265423361986448",
338
+ "MFCCs_ 9": "-0.172699811727761",
339
+ "MFCCs_10": "0.266434260043502",
340
+ "MFCCs_11": "0.332695149242033",
341
+ "MFCCs_12": "-0.100748543620898",
342
+ "MFCCs_13": "-0.298523875475902",
343
+ "MFCCs_14": "0.037438885320215",
344
+ "MFCCs_15": "0.219152827231289",
345
+ "MFCCs_16": "0.0628372293931531",
346
+ "MFCCs_17": "-0.0488846180288039",
347
+ "MFCCs_18": "-0.0530735072212773",
348
+ "MFCCs_19": "-0.0885504031444007",
349
+ "MFCCs_20": "-0.0313455727580116",
350
+ "MFCCs_21": "0.108609831720118",
351
+ "MFCCs_22": "0.0792443322969332",
352
+ "Family": "Leptodactylidae",
353
+ "Genus": "Adenomera",
354
+ "Species": "AdenomeraAndre",
355
+ "RecordID": "1"
356
+ }
357
+ ]
358
+ }
359
+
360
+ Shortlisted templates:
361
+ [
362
+ {
363
+ "template_id": "tpl_tpch_relative_total_threshold",
364
+ "template_name": "Relative-to-Total Extreme Threshold",
365
+ "primary_family": "tail_rarity_structure",
366
+ "portability": "partial",
367
+ "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;",
368
+ "required_roles": [
369
+ "group_col",
370
+ "measure_col"
371
+ ]
372
+ }
373
+ ]
374
+
375
+ Problem instance:
376
+ {
377
+ "dataset_id": "n7",
378
+ "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=Genus, measure_col=MFCCs_ 5.",
379
+ "planned_template_id": "tpl_tpch_relative_total_threshold",
380
+ "bindings": {
381
+ "group_col": "Genus",
382
+ "measure_col": "MFCCs_ 5",
383
+ "top_k": 13,
384
+ "top_n": 4,
385
+ "num_tiles": 10,
386
+ "percentile_value": 0.9,
387
+ "z_threshold": 2.0,
388
+ "fraction_threshold": 0.1,
389
+ "baseline_multiplier": 1.5,
390
+ "baseline_fraction": 0.1,
391
+ "min_group_size": 5,
392
+ "min_support": 5,
393
+ "measure_threshold": 0.222592,
394
+ "time_grain": "month",
395
+ "lookback_rows": 3,
396
+ "current_period_start": "'2024-01-01'",
397
+ "current_period_end": "'2024-04-01'",
398
+ "previous_period_start": "'2023-10-01'",
399
+ "previous_period_end": "'2024-01-01'",
400
+ "drift_ratio_threshold": 0.8
401
+ },
402
+ "can_vary": [],
403
+ "must_fix": [],
404
+ "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;"
405
+ }
406
+
407
+ Repair context:
408
+ {}
Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_06eda542eccea118/cli/sql_response_attempt_1.raw.txt ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {"type":"thread.started","thread_id":"019e4105-516a-7e92-a581-346eeb9b6c53"}
2
+ {"type":"turn.started"}
3
+ {"type":"error","message":"Quota exceeded. Check your plan and billing details."}
4
+ {"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_06eda542eccea118/cli/sql_response_attempt_1.txt ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {"type":"thread.started","thread_id":"019e4105-516a-7e92-a581-346eeb9b6c53"}
2
+ {"type":"turn.started"}
3
+ {"type":"error","message":"Quota exceeded. Check your plan and billing details."}
4
+ {"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_06eda542eccea118/cli/sql_response_attempt_2.raw.txt ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {"type":"thread.started","thread_id":"019e4105-6a9d-79e0-b744-1fb89a35be83"}
2
+ {"type":"turn.started"}
3
+ {"type":"error","message":"Quota exceeded. Check your plan and billing details."}
4
+ {"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_06eda542eccea118/cli/sql_response_attempt_2.txt ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {"type":"thread.started","thread_id":"019e4105-6a9d-79e0-b744-1fb89a35be83"}
2
+ {"type":"turn.started"}
3
+ {"type":"error","message":"Quota exceeded. Check your plan and billing details."}
4
+ {"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_06eda542eccea118/cli/sql_stderr_attempt_1.txt ADDED
File without changes
Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_06eda542eccea118/cli/sql_stderr_attempt_2.txt ADDED
File without changes
Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_073ac49104a29b80/cli/sql_attempt_1.metadata.json ADDED
@@ -0,0 +1,43 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "attempt": 1,
3
+ "phase": "sql_generation",
4
+ "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
5
+ "started_at": "2026-05-19T16:07:45.498940+00:00",
6
+ "ended_at": "2026-05-19T16:07:48.316258+00:00",
7
+ "elapsed_ms": 2817.3,
8
+ "returncode": 1,
9
+ "prompt_metrics": {
10
+ "chars": 14520,
11
+ "bytes_utf8": 14520,
12
+ "lines": 408,
13
+ "estimated_tokens": null
14
+ },
15
+ "stdout_metrics": {
16
+ "chars": 281,
17
+ "bytes_utf8": 281,
18
+ "lines": 4,
19
+ "estimated_tokens": null
20
+ },
21
+ "stderr_metrics": {
22
+ "chars": 0,
23
+ "bytes_utf8": 0,
24
+ "lines": 0,
25
+ "estimated_tokens": null
26
+ },
27
+ "parsed_output": {
28
+ "format": "jsonl_events",
29
+ "text_metrics": {
30
+ "chars": 280,
31
+ "bytes_utf8": 280,
32
+ "lines": 4,
33
+ "estimated_tokens": null
34
+ },
35
+ "usage": {}
36
+ },
37
+ "status": "failed",
38
+ "error": "AI CLI command failed with exit code 1: ",
39
+ "prompt_path": "cli/sql_prompt_attempt_1.txt",
40
+ "response_path": "cli/sql_response_attempt_1.txt",
41
+ "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
42
+ "stderr_path": "cli/sql_stderr_attempt_1.txt"
43
+ }
Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_073ac49104a29b80/cli/sql_attempt_2.metadata.json ADDED
@@ -0,0 +1,43 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "attempt": 2,
3
+ "phase": "sql_generation",
4
+ "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
5
+ "started_at": "2026-05-19T16:07:49.317750+00:00",
6
+ "ended_at": "2026-05-19T16:07:52.418723+00:00",
7
+ "elapsed_ms": 3100.95,
8
+ "returncode": 1,
9
+ "prompt_metrics": {
10
+ "chars": 14520,
11
+ "bytes_utf8": 14520,
12
+ "lines": 408,
13
+ "estimated_tokens": null
14
+ },
15
+ "stdout_metrics": {
16
+ "chars": 281,
17
+ "bytes_utf8": 281,
18
+ "lines": 4,
19
+ "estimated_tokens": null
20
+ },
21
+ "stderr_metrics": {
22
+ "chars": 0,
23
+ "bytes_utf8": 0,
24
+ "lines": 0,
25
+ "estimated_tokens": null
26
+ },
27
+ "parsed_output": {
28
+ "format": "jsonl_events",
29
+ "text_metrics": {
30
+ "chars": 280,
31
+ "bytes_utf8": 280,
32
+ "lines": 4,
33
+ "estimated_tokens": null
34
+ },
35
+ "usage": {}
36
+ },
37
+ "status": "failed",
38
+ "error": "AI CLI command failed with exit code 1: ",
39
+ "prompt_path": "cli/sql_prompt_attempt_2.txt",
40
+ "response_path": "cli/sql_response_attempt_2.txt",
41
+ "raw_response_path": "cli/sql_response_attempt_2.raw.txt",
42
+ "stderr_path": "cli/sql_stderr_attempt_2.txt"
43
+ }
Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_073ac49104a29b80/cli/sql_prompt_attempt_1.txt ADDED
@@ -0,0 +1,408 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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: n7
15
+ - dataset_name: Anuran Calls Mfccs
16
+ - table_name: n7
17
+ - table_layout: single-table dataset (do not assume joins).
18
+ - row_semantics: One row is one tabular observation with 25 feature columns and target `Family`.
19
+ - task_type: classification
20
+ - target_column: Family
21
+ - main_row_count: 7195
22
+ - important_fields:
23
+ - MFCCs_ 1: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for MFCCs 1.
24
+ - MFCCs_ 2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 2.
25
+ - MFCCs_ 3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 3.
26
+ - MFCCs_ 4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 4.
27
+ - MFCCs_ 5: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 5.
28
+ - MFCCs_ 6: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 6.
29
+ - MFCCs_ 7: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 7.
30
+ - MFCCs_ 8: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 8.
31
+ - MFCCs_ 9: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 9.
32
+ - MFCCs_10: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 10.
33
+ - MFCCs_11: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 11.
34
+ - MFCCs_12: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 12.
35
+ - MFCCs_13: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 13.
36
+ - MFCCs_14: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 14.
37
+ - MFCCs_15: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 15.
38
+ - MFCCs_16: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 16.
39
+ - MFCCs_17: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 17.
40
+ - MFCCs_18: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 18.
41
+ - MFCCs_19: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 19.
42
+ - MFCCs_20: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 20.
43
+ - MFCCs_21: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 21.
44
+ - MFCCs_22: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 22.
45
+ - Family: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Family.
46
+ - Genus: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Genus.
47
+ - Species: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Species.
48
+ - RecordID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude'] desc=Identifier-like field for RecordID.
49
+ - useful_field_combinations: [['Family', 'Genus', 'Family'], ['Family', 'MFCCs_ 1', 'Family'], ['MFCCs_ 1', 'Genus', 'Family']]
50
+ - fields_requiring_caution: ['Family', 'MFCCs_ 1']
51
+ - source_url: https://archive.ics.uci.edu/dataset/406/anuran+calls+mfccs
52
+
53
+ SQLite schema snapshot:
54
+ {
55
+ "table_name": "n7",
56
+ "quoted_table_name": "\"n7\"",
57
+ "row_count": 7195,
58
+ "columns": [
59
+ {
60
+ "name": "MFCCs_ 1",
61
+ "type": "TEXT",
62
+ "notnull": false,
63
+ "pk": false
64
+ },
65
+ {
66
+ "name": "MFCCs_ 2",
67
+ "type": "TEXT",
68
+ "notnull": false,
69
+ "pk": false
70
+ },
71
+ {
72
+ "name": "MFCCs_ 3",
73
+ "type": "TEXT",
74
+ "notnull": false,
75
+ "pk": false
76
+ },
77
+ {
78
+ "name": "MFCCs_ 4",
79
+ "type": "TEXT",
80
+ "notnull": false,
81
+ "pk": false
82
+ },
83
+ {
84
+ "name": "MFCCs_ 5",
85
+ "type": "TEXT",
86
+ "notnull": false,
87
+ "pk": false
88
+ },
89
+ {
90
+ "name": "MFCCs_ 6",
91
+ "type": "TEXT",
92
+ "notnull": false,
93
+ "pk": false
94
+ },
95
+ {
96
+ "name": "MFCCs_ 7",
97
+ "type": "TEXT",
98
+ "notnull": false,
99
+ "pk": false
100
+ },
101
+ {
102
+ "name": "MFCCs_ 8",
103
+ "type": "TEXT",
104
+ "notnull": false,
105
+ "pk": false
106
+ },
107
+ {
108
+ "name": "MFCCs_ 9",
109
+ "type": "TEXT",
110
+ "notnull": false,
111
+ "pk": false
112
+ },
113
+ {
114
+ "name": "MFCCs_10",
115
+ "type": "TEXT",
116
+ "notnull": false,
117
+ "pk": false
118
+ },
119
+ {
120
+ "name": "MFCCs_11",
121
+ "type": "TEXT",
122
+ "notnull": false,
123
+ "pk": false
124
+ },
125
+ {
126
+ "name": "MFCCs_12",
127
+ "type": "TEXT",
128
+ "notnull": false,
129
+ "pk": false
130
+ },
131
+ {
132
+ "name": "MFCCs_13",
133
+ "type": "TEXT",
134
+ "notnull": false,
135
+ "pk": false
136
+ },
137
+ {
138
+ "name": "MFCCs_14",
139
+ "type": "TEXT",
140
+ "notnull": false,
141
+ "pk": false
142
+ },
143
+ {
144
+ "name": "MFCCs_15",
145
+ "type": "TEXT",
146
+ "notnull": false,
147
+ "pk": false
148
+ },
149
+ {
150
+ "name": "MFCCs_16",
151
+ "type": "TEXT",
152
+ "notnull": false,
153
+ "pk": false
154
+ },
155
+ {
156
+ "name": "MFCCs_17",
157
+ "type": "TEXT",
158
+ "notnull": false,
159
+ "pk": false
160
+ },
161
+ {
162
+ "name": "MFCCs_18",
163
+ "type": "TEXT",
164
+ "notnull": false,
165
+ "pk": false
166
+ },
167
+ {
168
+ "name": "MFCCs_19",
169
+ "type": "TEXT",
170
+ "notnull": false,
171
+ "pk": false
172
+ },
173
+ {
174
+ "name": "MFCCs_20",
175
+ "type": "TEXT",
176
+ "notnull": false,
177
+ "pk": false
178
+ },
179
+ {
180
+ "name": "MFCCs_21",
181
+ "type": "TEXT",
182
+ "notnull": false,
183
+ "pk": false
184
+ },
185
+ {
186
+ "name": "MFCCs_22",
187
+ "type": "TEXT",
188
+ "notnull": false,
189
+ "pk": false
190
+ },
191
+ {
192
+ "name": "Family",
193
+ "type": "TEXT",
194
+ "notnull": false,
195
+ "pk": false
196
+ },
197
+ {
198
+ "name": "Genus",
199
+ "type": "TEXT",
200
+ "notnull": false,
201
+ "pk": false
202
+ },
203
+ {
204
+ "name": "Species",
205
+ "type": "TEXT",
206
+ "notnull": false,
207
+ "pk": false
208
+ },
209
+ {
210
+ "name": "RecordID",
211
+ "type": "TEXT",
212
+ "notnull": false,
213
+ "pk": false
214
+ }
215
+ ],
216
+ "sample_rows": [
217
+ {
218
+ "MFCCs_ 1": "1",
219
+ "MFCCs_ 2": "0.152936298220384",
220
+ "MFCCs_ 3": "-0.105585902844019",
221
+ "MFCCs_ 4": "0.200721914808566",
222
+ "MFCCs_ 5": "0.317201062343259",
223
+ "MFCCs_ 6": "0.260763853131077",
224
+ "MFCCs_ 7": "0.100944640810053",
225
+ "MFCCs_ 8": "-0.150062604917616",
226
+ "MFCCs_ 9": "-0.17112763198601",
227
+ "MFCCs_10": "0.124676436148438",
228
+ "MFCCs_11": "0.188654145822323",
229
+ "MFCCs_12": "-0.0756217229244772",
230
+ "MFCCs_13": "-0.156435925226375",
231
+ "MFCCs_14": "0.0822451152835443",
232
+ "MFCCs_15": "0.135752042383891",
233
+ "MFCCs_16": "-0.0240166450287792",
234
+ "MFCCs_17": "-0.108351107221198",
235
+ "MFCCs_18": "-0.0776225214037558",
236
+ "MFCCs_19": "-0.00956780151914234",
237
+ "MFCCs_20": "0.0576839754007957",
238
+ "MFCCs_21": "0.118680135068692",
239
+ "MFCCs_22": "0.0140384456733697",
240
+ "Family": "Leptodactylidae",
241
+ "Genus": "Adenomera",
242
+ "Species": "AdenomeraAndre",
243
+ "RecordID": "1"
244
+ },
245
+ {
246
+ "MFCCs_ 1": "1",
247
+ "MFCCs_ 2": "0.171534257314109",
248
+ "MFCCs_ 3": "-0.0989747371205295",
249
+ "MFCCs_ 4": "0.268425220827017",
250
+ "MFCCs_ 5": "0.338671862995453",
251
+ "MFCCs_ 6": "0.268353099863332",
252
+ "MFCCs_ 7": "0.0608350871920449",
253
+ "MFCCs_ 8": "-0.222474640379244",
254
+ "MFCCs_ 9": "-0.207692670568256",
255
+ "MFCCs_10": "0.170882873543032",
256
+ "MFCCs_11": "0.27095827998887",
257
+ "MFCCs_12": "-0.0950039445276873",
258
+ "MFCCs_13": "-0.254341468381362",
259
+ "MFCCs_14": "0.0227862345814336",
260
+ "MFCCs_15": "0.163320101050209",
261
+ "MFCCs_16": "0.0120222808645159",
262
+ "MFCCs_17": "-0.0909740108032878",
263
+ "MFCCs_18": "-0.0565095219192882",
264
+ "MFCCs_19": "-0.035303356812479",
265
+ "MFCCs_20": "0.0201399631478018",
266
+ "MFCCs_21": "0.0822629868835422",
267
+ "MFCCs_22": "0.0290557421631693",
268
+ "Family": "Leptodactylidae",
269
+ "Genus": "Adenomera",
270
+ "Species": "AdenomeraAndre",
271
+ "RecordID": "1"
272
+ },
273
+ {
274
+ "MFCCs_ 1": "1",
275
+ "MFCCs_ 2": "0.152317085189856",
276
+ "MFCCs_ 3": "-0.0829726738725973",
277
+ "MFCCs_ 4": "0.287127957306532",
278
+ "MFCCs_ 5": "0.276014083988895",
279
+ "MFCCs_ 6": "0.189866772581424",
280
+ "MFCCs_ 7": "0.00871395674901959",
281
+ "MFCCs_ 8": "-0.242234230697363",
282
+ "MFCCs_ 9": "-0.219153324384574",
283
+ "MFCCs_10": "0.232538316574083",
284
+ "MFCCs_11": "0.266064481907247",
285
+ "MFCCs_12": "-0.072827186682411",
286
+ "MFCCs_13": "-0.237383560939613",
287
+ "MFCCs_14": "0.0507907353425093",
288
+ "MFCCs_15": "0.20733840580524",
289
+ "MFCCs_16": "0.0835356991035397",
290
+ "MFCCs_17": "-0.0506914300740697",
291
+ "MFCCs_18": "-0.0235902291809596",
292
+ "MFCCs_19": "-0.0667215489148675",
293
+ "MFCCs_20": "-0.0250832267732169",
294
+ "MFCCs_21": "0.0991083997463254",
295
+ "MFCCs_22": "0.0771623846958952",
296
+ "Family": "Leptodactylidae",
297
+ "Genus": "Adenomera",
298
+ "Species": "AdenomeraAndre",
299
+ "RecordID": "1"
300
+ },
301
+ {
302
+ "MFCCs_ 1": "1",
303
+ "MFCCs_ 2": "0.22439244572155",
304
+ "MFCCs_ 3": "0.118984663992927",
305
+ "MFCCs_ 4": "0.329431728991851",
306
+ "MFCCs_ 5": "0.37208800967925",
307
+ "MFCCs_ 6": "0.36100456768708",
308
+ "MFCCs_ 7": "0.0155010402636969",
309
+ "MFCCs_ 8": "-0.1943474518771",
310
+ "MFCCs_ 9": "-0.0981806677778217",
311
+ "MFCCs_10": "0.270375424774079",
312
+ "MFCCs_11": "0.267278909389666",
313
+ "MFCCs_12": "-0.162258251525887",
314
+ "MFCCs_13": "-0.317084231097501",
315
+ "MFCCs_14": "-0.0115674334348972",
316
+ "MFCCs_15": "0.100412825039324",
317
+ "MFCCs_16": "-0.0502237308220074",
318
+ "MFCCs_17": "-0.13600940404278",
319
+ "MFCCs_18": "-0.177037008525031",
320
+ "MFCCs_19": "-0.130498132704666",
321
+ "MFCCs_20": "-0.0547663962602304",
322
+ "MFCCs_21": "-0.018691446529289",
323
+ "MFCCs_22": "0.0239543085482256",
324
+ "Family": "Leptodactylidae",
325
+ "Genus": "Adenomera",
326
+ "Species": "AdenomeraAndre",
327
+ "RecordID": "1"
328
+ },
329
+ {
330
+ "MFCCs_ 1": "1",
331
+ "MFCCs_ 2": "0.0878169091598283",
332
+ "MFCCs_ 3": "-0.0683448878848087",
333
+ "MFCCs_ 4": "0.306966720688553",
334
+ "MFCCs_ 5": "0.330922940689476",
335
+ "MFCCs_ 6": "0.249143914245263",
336
+ "MFCCs_ 7": "0.00688371297114425",
337
+ "MFCCs_ 8": "-0.265423361986448",
338
+ "MFCCs_ 9": "-0.172699811727761",
339
+ "MFCCs_10": "0.266434260043502",
340
+ "MFCCs_11": "0.332695149242033",
341
+ "MFCCs_12": "-0.100748543620898",
342
+ "MFCCs_13": "-0.298523875475902",
343
+ "MFCCs_14": "0.037438885320215",
344
+ "MFCCs_15": "0.219152827231289",
345
+ "MFCCs_16": "0.0628372293931531",
346
+ "MFCCs_17": "-0.0488846180288039",
347
+ "MFCCs_18": "-0.0530735072212773",
348
+ "MFCCs_19": "-0.0885504031444007",
349
+ "MFCCs_20": "-0.0313455727580116",
350
+ "MFCCs_21": "0.108609831720118",
351
+ "MFCCs_22": "0.0792443322969332",
352
+ "Family": "Leptodactylidae",
353
+ "Genus": "Adenomera",
354
+ "Species": "AdenomeraAndre",
355
+ "RecordID": "1"
356
+ }
357
+ ]
358
+ }
359
+
360
+ Shortlisted templates:
361
+ [
362
+ {
363
+ "template_id": "tpl_h2o_group_sum",
364
+ "template_name": "Grouped Numeric Sum",
365
+ "primary_family": "subgroup_structure",
366
+ "portability": "partial",
367
+ "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;",
368
+ "required_roles": [
369
+ "group_col",
370
+ "measure_col"
371
+ ]
372
+ }
373
+ ]
374
+
375
+ Problem instance:
376
+ {
377
+ "dataset_id": "n7",
378
+ "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=Genus, measure_col=MFCCs_ 5.",
379
+ "planned_template_id": "tpl_h2o_group_sum",
380
+ "bindings": {
381
+ "group_col": "Genus",
382
+ "measure_col": "MFCCs_ 5",
383
+ "top_k": 14,
384
+ "top_n": 3,
385
+ "num_tiles": 10,
386
+ "percentile_value": 0.95,
387
+ "z_threshold": 2.0,
388
+ "fraction_threshold": 0.1,
389
+ "baseline_multiplier": 1.5,
390
+ "baseline_fraction": 0.1,
391
+ "min_group_size": 5,
392
+ "min_support": 5,
393
+ "measure_threshold": 0.222592,
394
+ "time_grain": "month",
395
+ "lookback_rows": 3,
396
+ "current_period_start": "'2024-01-01'",
397
+ "current_period_end": "'2024-04-01'",
398
+ "previous_period_start": "'2023-10-01'",
399
+ "previous_period_end": "'2024-01-01'",
400
+ "drift_ratio_threshold": 0.8
401
+ },
402
+ "can_vary": [],
403
+ "must_fix": [],
404
+ "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;"
405
+ }
406
+
407
+ Repair context:
408
+ {}
Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_073ac49104a29b80/cli/sql_prompt_attempt_2.txt ADDED
@@ -0,0 +1,408 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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: n7
15
+ - dataset_name: Anuran Calls Mfccs
16
+ - table_name: n7
17
+ - table_layout: single-table dataset (do not assume joins).
18
+ - row_semantics: One row is one tabular observation with 25 feature columns and target `Family`.
19
+ - task_type: classification
20
+ - target_column: Family
21
+ - main_row_count: 7195
22
+ - important_fields:
23
+ - MFCCs_ 1: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for MFCCs 1.
24
+ - MFCCs_ 2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 2.
25
+ - MFCCs_ 3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 3.
26
+ - MFCCs_ 4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 4.
27
+ - MFCCs_ 5: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 5.
28
+ - MFCCs_ 6: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 6.
29
+ - MFCCs_ 7: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 7.
30
+ - MFCCs_ 8: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 8.
31
+ - MFCCs_ 9: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 9.
32
+ - MFCCs_10: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 10.
33
+ - MFCCs_11: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 11.
34
+ - MFCCs_12: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 12.
35
+ - MFCCs_13: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 13.
36
+ - MFCCs_14: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 14.
37
+ - MFCCs_15: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 15.
38
+ - MFCCs_16: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 16.
39
+ - MFCCs_17: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 17.
40
+ - MFCCs_18: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 18.
41
+ - MFCCs_19: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 19.
42
+ - MFCCs_20: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 20.
43
+ - MFCCs_21: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 21.
44
+ - MFCCs_22: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 22.
45
+ - Family: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Family.
46
+ - Genus: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Genus.
47
+ - Species: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Species.
48
+ - RecordID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude'] desc=Identifier-like field for RecordID.
49
+ - useful_field_combinations: [['Family', 'Genus', 'Family'], ['Family', 'MFCCs_ 1', 'Family'], ['MFCCs_ 1', 'Genus', 'Family']]
50
+ - fields_requiring_caution: ['Family', 'MFCCs_ 1']
51
+ - source_url: https://archive.ics.uci.edu/dataset/406/anuran+calls+mfccs
52
+
53
+ SQLite schema snapshot:
54
+ {
55
+ "table_name": "n7",
56
+ "quoted_table_name": "\"n7\"",
57
+ "row_count": 7195,
58
+ "columns": [
59
+ {
60
+ "name": "MFCCs_ 1",
61
+ "type": "TEXT",
62
+ "notnull": false,
63
+ "pk": false
64
+ },
65
+ {
66
+ "name": "MFCCs_ 2",
67
+ "type": "TEXT",
68
+ "notnull": false,
69
+ "pk": false
70
+ },
71
+ {
72
+ "name": "MFCCs_ 3",
73
+ "type": "TEXT",
74
+ "notnull": false,
75
+ "pk": false
76
+ },
77
+ {
78
+ "name": "MFCCs_ 4",
79
+ "type": "TEXT",
80
+ "notnull": false,
81
+ "pk": false
82
+ },
83
+ {
84
+ "name": "MFCCs_ 5",
85
+ "type": "TEXT",
86
+ "notnull": false,
87
+ "pk": false
88
+ },
89
+ {
90
+ "name": "MFCCs_ 6",
91
+ "type": "TEXT",
92
+ "notnull": false,
93
+ "pk": false
94
+ },
95
+ {
96
+ "name": "MFCCs_ 7",
97
+ "type": "TEXT",
98
+ "notnull": false,
99
+ "pk": false
100
+ },
101
+ {
102
+ "name": "MFCCs_ 8",
103
+ "type": "TEXT",
104
+ "notnull": false,
105
+ "pk": false
106
+ },
107
+ {
108
+ "name": "MFCCs_ 9",
109
+ "type": "TEXT",
110
+ "notnull": false,
111
+ "pk": false
112
+ },
113
+ {
114
+ "name": "MFCCs_10",
115
+ "type": "TEXT",
116
+ "notnull": false,
117
+ "pk": false
118
+ },
119
+ {
120
+ "name": "MFCCs_11",
121
+ "type": "TEXT",
122
+ "notnull": false,
123
+ "pk": false
124
+ },
125
+ {
126
+ "name": "MFCCs_12",
127
+ "type": "TEXT",
128
+ "notnull": false,
129
+ "pk": false
130
+ },
131
+ {
132
+ "name": "MFCCs_13",
133
+ "type": "TEXT",
134
+ "notnull": false,
135
+ "pk": false
136
+ },
137
+ {
138
+ "name": "MFCCs_14",
139
+ "type": "TEXT",
140
+ "notnull": false,
141
+ "pk": false
142
+ },
143
+ {
144
+ "name": "MFCCs_15",
145
+ "type": "TEXT",
146
+ "notnull": false,
147
+ "pk": false
148
+ },
149
+ {
150
+ "name": "MFCCs_16",
151
+ "type": "TEXT",
152
+ "notnull": false,
153
+ "pk": false
154
+ },
155
+ {
156
+ "name": "MFCCs_17",
157
+ "type": "TEXT",
158
+ "notnull": false,
159
+ "pk": false
160
+ },
161
+ {
162
+ "name": "MFCCs_18",
163
+ "type": "TEXT",
164
+ "notnull": false,
165
+ "pk": false
166
+ },
167
+ {
168
+ "name": "MFCCs_19",
169
+ "type": "TEXT",
170
+ "notnull": false,
171
+ "pk": false
172
+ },
173
+ {
174
+ "name": "MFCCs_20",
175
+ "type": "TEXT",
176
+ "notnull": false,
177
+ "pk": false
178
+ },
179
+ {
180
+ "name": "MFCCs_21",
181
+ "type": "TEXT",
182
+ "notnull": false,
183
+ "pk": false
184
+ },
185
+ {
186
+ "name": "MFCCs_22",
187
+ "type": "TEXT",
188
+ "notnull": false,
189
+ "pk": false
190
+ },
191
+ {
192
+ "name": "Family",
193
+ "type": "TEXT",
194
+ "notnull": false,
195
+ "pk": false
196
+ },
197
+ {
198
+ "name": "Genus",
199
+ "type": "TEXT",
200
+ "notnull": false,
201
+ "pk": false
202
+ },
203
+ {
204
+ "name": "Species",
205
+ "type": "TEXT",
206
+ "notnull": false,
207
+ "pk": false
208
+ },
209
+ {
210
+ "name": "RecordID",
211
+ "type": "TEXT",
212
+ "notnull": false,
213
+ "pk": false
214
+ }
215
+ ],
216
+ "sample_rows": [
217
+ {
218
+ "MFCCs_ 1": "1",
219
+ "MFCCs_ 2": "0.152936298220384",
220
+ "MFCCs_ 3": "-0.105585902844019",
221
+ "MFCCs_ 4": "0.200721914808566",
222
+ "MFCCs_ 5": "0.317201062343259",
223
+ "MFCCs_ 6": "0.260763853131077",
224
+ "MFCCs_ 7": "0.100944640810053",
225
+ "MFCCs_ 8": "-0.150062604917616",
226
+ "MFCCs_ 9": "-0.17112763198601",
227
+ "MFCCs_10": "0.124676436148438",
228
+ "MFCCs_11": "0.188654145822323",
229
+ "MFCCs_12": "-0.0756217229244772",
230
+ "MFCCs_13": "-0.156435925226375",
231
+ "MFCCs_14": "0.0822451152835443",
232
+ "MFCCs_15": "0.135752042383891",
233
+ "MFCCs_16": "-0.0240166450287792",
234
+ "MFCCs_17": "-0.108351107221198",
235
+ "MFCCs_18": "-0.0776225214037558",
236
+ "MFCCs_19": "-0.00956780151914234",
237
+ "MFCCs_20": "0.0576839754007957",
238
+ "MFCCs_21": "0.118680135068692",
239
+ "MFCCs_22": "0.0140384456733697",
240
+ "Family": "Leptodactylidae",
241
+ "Genus": "Adenomera",
242
+ "Species": "AdenomeraAndre",
243
+ "RecordID": "1"
244
+ },
245
+ {
246
+ "MFCCs_ 1": "1",
247
+ "MFCCs_ 2": "0.171534257314109",
248
+ "MFCCs_ 3": "-0.0989747371205295",
249
+ "MFCCs_ 4": "0.268425220827017",
250
+ "MFCCs_ 5": "0.338671862995453",
251
+ "MFCCs_ 6": "0.268353099863332",
252
+ "MFCCs_ 7": "0.0608350871920449",
253
+ "MFCCs_ 8": "-0.222474640379244",
254
+ "MFCCs_ 9": "-0.207692670568256",
255
+ "MFCCs_10": "0.170882873543032",
256
+ "MFCCs_11": "0.27095827998887",
257
+ "MFCCs_12": "-0.0950039445276873",
258
+ "MFCCs_13": "-0.254341468381362",
259
+ "MFCCs_14": "0.0227862345814336",
260
+ "MFCCs_15": "0.163320101050209",
261
+ "MFCCs_16": "0.0120222808645159",
262
+ "MFCCs_17": "-0.0909740108032878",
263
+ "MFCCs_18": "-0.0565095219192882",
264
+ "MFCCs_19": "-0.035303356812479",
265
+ "MFCCs_20": "0.0201399631478018",
266
+ "MFCCs_21": "0.0822629868835422",
267
+ "MFCCs_22": "0.0290557421631693",
268
+ "Family": "Leptodactylidae",
269
+ "Genus": "Adenomera",
270
+ "Species": "AdenomeraAndre",
271
+ "RecordID": "1"
272
+ },
273
+ {
274
+ "MFCCs_ 1": "1",
275
+ "MFCCs_ 2": "0.152317085189856",
276
+ "MFCCs_ 3": "-0.0829726738725973",
277
+ "MFCCs_ 4": "0.287127957306532",
278
+ "MFCCs_ 5": "0.276014083988895",
279
+ "MFCCs_ 6": "0.189866772581424",
280
+ "MFCCs_ 7": "0.00871395674901959",
281
+ "MFCCs_ 8": "-0.242234230697363",
282
+ "MFCCs_ 9": "-0.219153324384574",
283
+ "MFCCs_10": "0.232538316574083",
284
+ "MFCCs_11": "0.266064481907247",
285
+ "MFCCs_12": "-0.072827186682411",
286
+ "MFCCs_13": "-0.237383560939613",
287
+ "MFCCs_14": "0.0507907353425093",
288
+ "MFCCs_15": "0.20733840580524",
289
+ "MFCCs_16": "0.0835356991035397",
290
+ "MFCCs_17": "-0.0506914300740697",
291
+ "MFCCs_18": "-0.0235902291809596",
292
+ "MFCCs_19": "-0.0667215489148675",
293
+ "MFCCs_20": "-0.0250832267732169",
294
+ "MFCCs_21": "0.0991083997463254",
295
+ "MFCCs_22": "0.0771623846958952",
296
+ "Family": "Leptodactylidae",
297
+ "Genus": "Adenomera",
298
+ "Species": "AdenomeraAndre",
299
+ "RecordID": "1"
300
+ },
301
+ {
302
+ "MFCCs_ 1": "1",
303
+ "MFCCs_ 2": "0.22439244572155",
304
+ "MFCCs_ 3": "0.118984663992927",
305
+ "MFCCs_ 4": "0.329431728991851",
306
+ "MFCCs_ 5": "0.37208800967925",
307
+ "MFCCs_ 6": "0.36100456768708",
308
+ "MFCCs_ 7": "0.0155010402636969",
309
+ "MFCCs_ 8": "-0.1943474518771",
310
+ "MFCCs_ 9": "-0.0981806677778217",
311
+ "MFCCs_10": "0.270375424774079",
312
+ "MFCCs_11": "0.267278909389666",
313
+ "MFCCs_12": "-0.162258251525887",
314
+ "MFCCs_13": "-0.317084231097501",
315
+ "MFCCs_14": "-0.0115674334348972",
316
+ "MFCCs_15": "0.100412825039324",
317
+ "MFCCs_16": "-0.0502237308220074",
318
+ "MFCCs_17": "-0.13600940404278",
319
+ "MFCCs_18": "-0.177037008525031",
320
+ "MFCCs_19": "-0.130498132704666",
321
+ "MFCCs_20": "-0.0547663962602304",
322
+ "MFCCs_21": "-0.018691446529289",
323
+ "MFCCs_22": "0.0239543085482256",
324
+ "Family": "Leptodactylidae",
325
+ "Genus": "Adenomera",
326
+ "Species": "AdenomeraAndre",
327
+ "RecordID": "1"
328
+ },
329
+ {
330
+ "MFCCs_ 1": "1",
331
+ "MFCCs_ 2": "0.0878169091598283",
332
+ "MFCCs_ 3": "-0.0683448878848087",
333
+ "MFCCs_ 4": "0.306966720688553",
334
+ "MFCCs_ 5": "0.330922940689476",
335
+ "MFCCs_ 6": "0.249143914245263",
336
+ "MFCCs_ 7": "0.00688371297114425",
337
+ "MFCCs_ 8": "-0.265423361986448",
338
+ "MFCCs_ 9": "-0.172699811727761",
339
+ "MFCCs_10": "0.266434260043502",
340
+ "MFCCs_11": "0.332695149242033",
341
+ "MFCCs_12": "-0.100748543620898",
342
+ "MFCCs_13": "-0.298523875475902",
343
+ "MFCCs_14": "0.037438885320215",
344
+ "MFCCs_15": "0.219152827231289",
345
+ "MFCCs_16": "0.0628372293931531",
346
+ "MFCCs_17": "-0.0488846180288039",
347
+ "MFCCs_18": "-0.0530735072212773",
348
+ "MFCCs_19": "-0.0885504031444007",
349
+ "MFCCs_20": "-0.0313455727580116",
350
+ "MFCCs_21": "0.108609831720118",
351
+ "MFCCs_22": "0.0792443322969332",
352
+ "Family": "Leptodactylidae",
353
+ "Genus": "Adenomera",
354
+ "Species": "AdenomeraAndre",
355
+ "RecordID": "1"
356
+ }
357
+ ]
358
+ }
359
+
360
+ Shortlisted templates:
361
+ [
362
+ {
363
+ "template_id": "tpl_h2o_group_sum",
364
+ "template_name": "Grouped Numeric Sum",
365
+ "primary_family": "subgroup_structure",
366
+ "portability": "partial",
367
+ "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;",
368
+ "required_roles": [
369
+ "group_col",
370
+ "measure_col"
371
+ ]
372
+ }
373
+ ]
374
+
375
+ Problem instance:
376
+ {
377
+ "dataset_id": "n7",
378
+ "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=Genus, measure_col=MFCCs_ 5.",
379
+ "planned_template_id": "tpl_h2o_group_sum",
380
+ "bindings": {
381
+ "group_col": "Genus",
382
+ "measure_col": "MFCCs_ 5",
383
+ "top_k": 14,
384
+ "top_n": 3,
385
+ "num_tiles": 10,
386
+ "percentile_value": 0.95,
387
+ "z_threshold": 2.0,
388
+ "fraction_threshold": 0.1,
389
+ "baseline_multiplier": 1.5,
390
+ "baseline_fraction": 0.1,
391
+ "min_group_size": 5,
392
+ "min_support": 5,
393
+ "measure_threshold": 0.222592,
394
+ "time_grain": "month",
395
+ "lookback_rows": 3,
396
+ "current_period_start": "'2024-01-01'",
397
+ "current_period_end": "'2024-04-01'",
398
+ "previous_period_start": "'2023-10-01'",
399
+ "previous_period_end": "'2024-01-01'",
400
+ "drift_ratio_threshold": 0.8
401
+ },
402
+ "can_vary": [],
403
+ "must_fix": [],
404
+ "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;"
405
+ }
406
+
407
+ Repair context:
408
+ {}
Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_073ac49104a29b80/cli/sql_response_attempt_1.raw.txt ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {"type":"thread.started","thread_id":"019e40fe-4356-70d0-8aee-e3e757069111"}
2
+ {"type":"turn.started"}
3
+ {"type":"error","message":"Quota exceeded. Check your plan and billing details."}
4
+ {"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_073ac49104a29b80/cli/sql_response_attempt_1.txt ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {"type":"thread.started","thread_id":"019e40fe-4356-70d0-8aee-e3e757069111"}
2
+ {"type":"turn.started"}
3
+ {"type":"error","message":"Quota exceeded. Check your plan and billing details."}
4
+ {"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_073ac49104a29b80/cli/sql_response_attempt_2.raw.txt ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {"type":"thread.started","thread_id":"019e40fe-5250-7a23-8377-0db411f46655"}
2
+ {"type":"turn.started"}
3
+ {"type":"error","message":"Quota exceeded. Check your plan and billing details."}
4
+ {"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_073ac49104a29b80/cli/sql_response_attempt_2.txt ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {"type":"thread.started","thread_id":"019e40fe-5250-7a23-8377-0db411f46655"}
2
+ {"type":"turn.started"}
3
+ {"type":"error","message":"Quota exceeded. Check your plan and billing details."}
4
+ {"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_073ac49104a29b80/cli/sql_stderr_attempt_1.txt ADDED
File without changes
Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_073ac49104a29b80/cli/sql_stderr_attempt_2.txt ADDED
File without changes
Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_0d4f622a578e2e2d/cli/sql_attempt_1.metadata.json ADDED
@@ -0,0 +1,43 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "attempt": 1,
3
+ "phase": "sql_generation",
4
+ "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
5
+ "started_at": "2026-05-19T16:12:25.811831+00:00",
6
+ "ended_at": "2026-05-19T16:12:28.463202+00:00",
7
+ "elapsed_ms": 2651.35,
8
+ "returncode": 1,
9
+ "prompt_metrics": {
10
+ "chars": 15343,
11
+ "bytes_utf8": 15343,
12
+ "lines": 411,
13
+ "estimated_tokens": null
14
+ },
15
+ "stdout_metrics": {
16
+ "chars": 281,
17
+ "bytes_utf8": 281,
18
+ "lines": 4,
19
+ "estimated_tokens": null
20
+ },
21
+ "stderr_metrics": {
22
+ "chars": 0,
23
+ "bytes_utf8": 0,
24
+ "lines": 0,
25
+ "estimated_tokens": null
26
+ },
27
+ "parsed_output": {
28
+ "format": "jsonl_events",
29
+ "text_metrics": {
30
+ "chars": 280,
31
+ "bytes_utf8": 280,
32
+ "lines": 4,
33
+ "estimated_tokens": null
34
+ },
35
+ "usage": {}
36
+ },
37
+ "status": "failed",
38
+ "error": "AI CLI command failed with exit code 1: ",
39
+ "prompt_path": "cli/sql_prompt_attempt_1.txt",
40
+ "response_path": "cli/sql_response_attempt_1.txt",
41
+ "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
42
+ "stderr_path": "cli/sql_stderr_attempt_1.txt"
43
+ }
Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_0d4f622a578e2e2d/cli/sql_attempt_2.metadata.json ADDED
@@ -0,0 +1,43 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "attempt": 2,
3
+ "phase": "sql_generation",
4
+ "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
5
+ "started_at": "2026-05-19T16:12:29.465083+00:00",
6
+ "ended_at": "2026-05-19T16:12:33.317294+00:00",
7
+ "elapsed_ms": 3852.18,
8
+ "returncode": 1,
9
+ "prompt_metrics": {
10
+ "chars": 15343,
11
+ "bytes_utf8": 15343,
12
+ "lines": 411,
13
+ "estimated_tokens": null
14
+ },
15
+ "stdout_metrics": {
16
+ "chars": 281,
17
+ "bytes_utf8": 281,
18
+ "lines": 4,
19
+ "estimated_tokens": null
20
+ },
21
+ "stderr_metrics": {
22
+ "chars": 0,
23
+ "bytes_utf8": 0,
24
+ "lines": 0,
25
+ "estimated_tokens": null
26
+ },
27
+ "parsed_output": {
28
+ "format": "jsonl_events",
29
+ "text_metrics": {
30
+ "chars": 280,
31
+ "bytes_utf8": 280,
32
+ "lines": 4,
33
+ "estimated_tokens": null
34
+ },
35
+ "usage": {}
36
+ },
37
+ "status": "failed",
38
+ "error": "AI CLI command failed with exit code 1: ",
39
+ "prompt_path": "cli/sql_prompt_attempt_2.txt",
40
+ "response_path": "cli/sql_response_attempt_2.txt",
41
+ "raw_response_path": "cli/sql_response_attempt_2.raw.txt",
42
+ "stderr_path": "cli/sql_stderr_attempt_2.txt"
43
+ }
Query/sql/v2/runs/v2_cli_20260502_081223_e/n7/artifacts/v2q_n7_0d4f622a578e2e2d/cli/sql_prompt_attempt_1.txt ADDED
@@ -0,0 +1,411 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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: n7
15
+ - dataset_name: Anuran Calls Mfccs
16
+ - table_name: n7
17
+ - table_layout: single-table dataset (do not assume joins).
18
+ - row_semantics: One row is one tabular observation with 25 feature columns and target `Family`.
19
+ - task_type: classification
20
+ - target_column: Family
21
+ - main_row_count: 7195
22
+ - important_fields:
23
+ - MFCCs_ 1: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for MFCCs 1.
24
+ - MFCCs_ 2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 2.
25
+ - MFCCs_ 3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 3.
26
+ - MFCCs_ 4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 4.
27
+ - MFCCs_ 5: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 5.
28
+ - MFCCs_ 6: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 6.
29
+ - MFCCs_ 7: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 7.
30
+ - MFCCs_ 8: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 8.
31
+ - MFCCs_ 9: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 9.
32
+ - MFCCs_10: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 10.
33
+ - MFCCs_11: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 11.
34
+ - MFCCs_12: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 12.
35
+ - MFCCs_13: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 13.
36
+ - MFCCs_14: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 14.
37
+ - MFCCs_15: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 15.
38
+ - MFCCs_16: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 16.
39
+ - MFCCs_17: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 17.
40
+ - MFCCs_18: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 18.
41
+ - MFCCs_19: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 19.
42
+ - MFCCs_20: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 20.
43
+ - MFCCs_21: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 21.
44
+ - MFCCs_22: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MFCCs 22.
45
+ - Family: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Family.
46
+ - Genus: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Genus.
47
+ - Species: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Species.
48
+ - RecordID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude'] desc=Identifier-like field for RecordID.
49
+ - useful_field_combinations: [['Family', 'Genus', 'Family'], ['Family', 'MFCCs_ 1', 'Family'], ['MFCCs_ 1', 'Genus', 'Family']]
50
+ - fields_requiring_caution: ['Family', 'MFCCs_ 1']
51
+ - source_url: https://archive.ics.uci.edu/dataset/406/anuran+calls+mfccs
52
+
53
+ SQLite schema snapshot:
54
+ {
55
+ "table_name": "n7",
56
+ "quoted_table_name": "\"n7\"",
57
+ "row_count": 7195,
58
+ "columns": [
59
+ {
60
+ "name": "MFCCs_ 1",
61
+ "type": "TEXT",
62
+ "notnull": false,
63
+ "pk": false
64
+ },
65
+ {
66
+ "name": "MFCCs_ 2",
67
+ "type": "TEXT",
68
+ "notnull": false,
69
+ "pk": false
70
+ },
71
+ {
72
+ "name": "MFCCs_ 3",
73
+ "type": "TEXT",
74
+ "notnull": false,
75
+ "pk": false
76
+ },
77
+ {
78
+ "name": "MFCCs_ 4",
79
+ "type": "TEXT",
80
+ "notnull": false,
81
+ "pk": false
82
+ },
83
+ {
84
+ "name": "MFCCs_ 5",
85
+ "type": "TEXT",
86
+ "notnull": false,
87
+ "pk": false
88
+ },
89
+ {
90
+ "name": "MFCCs_ 6",
91
+ "type": "TEXT",
92
+ "notnull": false,
93
+ "pk": false
94
+ },
95
+ {
96
+ "name": "MFCCs_ 7",
97
+ "type": "TEXT",
98
+ "notnull": false,
99
+ "pk": false
100
+ },
101
+ {
102
+ "name": "MFCCs_ 8",
103
+ "type": "TEXT",
104
+ "notnull": false,
105
+ "pk": false
106
+ },
107
+ {
108
+ "name": "MFCCs_ 9",
109
+ "type": "TEXT",
110
+ "notnull": false,
111
+ "pk": false
112
+ },
113
+ {
114
+ "name": "MFCCs_10",
115
+ "type": "TEXT",
116
+ "notnull": false,
117
+ "pk": false
118
+ },
119
+ {
120
+ "name": "MFCCs_11",
121
+ "type": "TEXT",
122
+ "notnull": false,
123
+ "pk": false
124
+ },
125
+ {
126
+ "name": "MFCCs_12",
127
+ "type": "TEXT",
128
+ "notnull": false,
129
+ "pk": false
130
+ },
131
+ {
132
+ "name": "MFCCs_13",
133
+ "type": "TEXT",
134
+ "notnull": false,
135
+ "pk": false
136
+ },
137
+ {
138
+ "name": "MFCCs_14",
139
+ "type": "TEXT",
140
+ "notnull": false,
141
+ "pk": false
142
+ },
143
+ {
144
+ "name": "MFCCs_15",
145
+ "type": "TEXT",
146
+ "notnull": false,
147
+ "pk": false
148
+ },
149
+ {
150
+ "name": "MFCCs_16",
151
+ "type": "TEXT",
152
+ "notnull": false,
153
+ "pk": false
154
+ },
155
+ {
156
+ "name": "MFCCs_17",
157
+ "type": "TEXT",
158
+ "notnull": false,
159
+ "pk": false
160
+ },
161
+ {
162
+ "name": "MFCCs_18",
163
+ "type": "TEXT",
164
+ "notnull": false,
165
+ "pk": false
166
+ },
167
+ {
168
+ "name": "MFCCs_19",
169
+ "type": "TEXT",
170
+ "notnull": false,
171
+ "pk": false
172
+ },
173
+ {
174
+ "name": "MFCCs_20",
175
+ "type": "TEXT",
176
+ "notnull": false,
177
+ "pk": false
178
+ },
179
+ {
180
+ "name": "MFCCs_21",
181
+ "type": "TEXT",
182
+ "notnull": false,
183
+ "pk": false
184
+ },
185
+ {
186
+ "name": "MFCCs_22",
187
+ "type": "TEXT",
188
+ "notnull": false,
189
+ "pk": false
190
+ },
191
+ {
192
+ "name": "Family",
193
+ "type": "TEXT",
194
+ "notnull": false,
195
+ "pk": false
196
+ },
197
+ {
198
+ "name": "Genus",
199
+ "type": "TEXT",
200
+ "notnull": false,
201
+ "pk": false
202
+ },
203
+ {
204
+ "name": "Species",
205
+ "type": "TEXT",
206
+ "notnull": false,
207
+ "pk": false
208
+ },
209
+ {
210
+ "name": "RecordID",
211
+ "type": "TEXT",
212
+ "notnull": false,
213
+ "pk": false
214
+ }
215
+ ],
216
+ "sample_rows": [
217
+ {
218
+ "MFCCs_ 1": "1",
219
+ "MFCCs_ 2": "0.152936298220384",
220
+ "MFCCs_ 3": "-0.105585902844019",
221
+ "MFCCs_ 4": "0.200721914808566",
222
+ "MFCCs_ 5": "0.317201062343259",
223
+ "MFCCs_ 6": "0.260763853131077",
224
+ "MFCCs_ 7": "0.100944640810053",
225
+ "MFCCs_ 8": "-0.150062604917616",
226
+ "MFCCs_ 9": "-0.17112763198601",
227
+ "MFCCs_10": "0.124676436148438",
228
+ "MFCCs_11": "0.188654145822323",
229
+ "MFCCs_12": "-0.0756217229244772",
230
+ "MFCCs_13": "-0.156435925226375",
231
+ "MFCCs_14": "0.0822451152835443",
232
+ "MFCCs_15": "0.135752042383891",
233
+ "MFCCs_16": "-0.0240166450287792",
234
+ "MFCCs_17": "-0.108351107221198",
235
+ "MFCCs_18": "-0.0776225214037558",
236
+ "MFCCs_19": "-0.00956780151914234",
237
+ "MFCCs_20": "0.0576839754007957",
238
+ "MFCCs_21": "0.118680135068692",
239
+ "MFCCs_22": "0.0140384456733697",
240
+ "Family": "Leptodactylidae",
241
+ "Genus": "Adenomera",
242
+ "Species": "AdenomeraAndre",
243
+ "RecordID": "1"
244
+ },
245
+ {
246
+ "MFCCs_ 1": "1",
247
+ "MFCCs_ 2": "0.171534257314109",
248
+ "MFCCs_ 3": "-0.0989747371205295",
249
+ "MFCCs_ 4": "0.268425220827017",
250
+ "MFCCs_ 5": "0.338671862995453",
251
+ "MFCCs_ 6": "0.268353099863332",
252
+ "MFCCs_ 7": "0.0608350871920449",
253
+ "MFCCs_ 8": "-0.222474640379244",
254
+ "MFCCs_ 9": "-0.207692670568256",
255
+ "MFCCs_10": "0.170882873543032",
256
+ "MFCCs_11": "0.27095827998887",
257
+ "MFCCs_12": "-0.0950039445276873",
258
+ "MFCCs_13": "-0.254341468381362",
259
+ "MFCCs_14": "0.0227862345814336",
260
+ "MFCCs_15": "0.163320101050209",
261
+ "MFCCs_16": "0.0120222808645159",
262
+ "MFCCs_17": "-0.0909740108032878",
263
+ "MFCCs_18": "-0.0565095219192882",
264
+ "MFCCs_19": "-0.035303356812479",
265
+ "MFCCs_20": "0.0201399631478018",
266
+ "MFCCs_21": "0.0822629868835422",
267
+ "MFCCs_22": "0.0290557421631693",
268
+ "Family": "Leptodactylidae",
269
+ "Genus": "Adenomera",
270
+ "Species": "AdenomeraAndre",
271
+ "RecordID": "1"
272
+ },
273
+ {
274
+ "MFCCs_ 1": "1",
275
+ "MFCCs_ 2": "0.152317085189856",
276
+ "MFCCs_ 3": "-0.0829726738725973",
277
+ "MFCCs_ 4": "0.287127957306532",
278
+ "MFCCs_ 5": "0.276014083988895",
279
+ "MFCCs_ 6": "0.189866772581424",
280
+ "MFCCs_ 7": "0.00871395674901959",
281
+ "MFCCs_ 8": "-0.242234230697363",
282
+ "MFCCs_ 9": "-0.219153324384574",
283
+ "MFCCs_10": "0.232538316574083",
284
+ "MFCCs_11": "0.266064481907247",
285
+ "MFCCs_12": "-0.072827186682411",
286
+ "MFCCs_13": "-0.237383560939613",
287
+ "MFCCs_14": "0.0507907353425093",
288
+ "MFCCs_15": "0.20733840580524",
289
+ "MFCCs_16": "0.0835356991035397",
290
+ "MFCCs_17": "-0.0506914300740697",
291
+ "MFCCs_18": "-0.0235902291809596",
292
+ "MFCCs_19": "-0.0667215489148675",
293
+ "MFCCs_20": "-0.0250832267732169",
294
+ "MFCCs_21": "0.0991083997463254",
295
+ "MFCCs_22": "0.0771623846958952",
296
+ "Family": "Leptodactylidae",
297
+ "Genus": "Adenomera",
298
+ "Species": "AdenomeraAndre",
299
+ "RecordID": "1"
300
+ },
301
+ {
302
+ "MFCCs_ 1": "1",
303
+ "MFCCs_ 2": "0.22439244572155",
304
+ "MFCCs_ 3": "0.118984663992927",
305
+ "MFCCs_ 4": "0.329431728991851",
306
+ "MFCCs_ 5": "0.37208800967925",
307
+ "MFCCs_ 6": "0.36100456768708",
308
+ "MFCCs_ 7": "0.0155010402636969",
309
+ "MFCCs_ 8": "-0.1943474518771",
310
+ "MFCCs_ 9": "-0.0981806677778217",
311
+ "MFCCs_10": "0.270375424774079",
312
+ "MFCCs_11": "0.267278909389666",
313
+ "MFCCs_12": "-0.162258251525887",
314
+ "MFCCs_13": "-0.317084231097501",
315
+ "MFCCs_14": "-0.0115674334348972",
316
+ "MFCCs_15": "0.100412825039324",
317
+ "MFCCs_16": "-0.0502237308220074",
318
+ "MFCCs_17": "-0.13600940404278",
319
+ "MFCCs_18": "-0.177037008525031",
320
+ "MFCCs_19": "-0.130498132704666",
321
+ "MFCCs_20": "-0.0547663962602304",
322
+ "MFCCs_21": "-0.018691446529289",
323
+ "MFCCs_22": "0.0239543085482256",
324
+ "Family": "Leptodactylidae",
325
+ "Genus": "Adenomera",
326
+ "Species": "AdenomeraAndre",
327
+ "RecordID": "1"
328
+ },
329
+ {
330
+ "MFCCs_ 1": "1",
331
+ "MFCCs_ 2": "0.0878169091598283",
332
+ "MFCCs_ 3": "-0.0683448878848087",
333
+ "MFCCs_ 4": "0.306966720688553",
334
+ "MFCCs_ 5": "0.330922940689476",
335
+ "MFCCs_ 6": "0.249143914245263",
336
+ "MFCCs_ 7": "0.00688371297114425",
337
+ "MFCCs_ 8": "-0.265423361986448",
338
+ "MFCCs_ 9": "-0.172699811727761",
339
+ "MFCCs_10": "0.266434260043502",
340
+ "MFCCs_11": "0.332695149242033",
341
+ "MFCCs_12": "-0.100748543620898",
342
+ "MFCCs_13": "-0.298523875475902",
343
+ "MFCCs_14": "0.037438885320215",
344
+ "MFCCs_15": "0.219152827231289",
345
+ "MFCCs_16": "0.0628372293931531",
346
+ "MFCCs_17": "-0.0488846180288039",
347
+ "MFCCs_18": "-0.0530735072212773",
348
+ "MFCCs_19": "-0.0885504031444007",
349
+ "MFCCs_20": "-0.0313455727580116",
350
+ "MFCCs_21": "0.108609831720118",
351
+ "MFCCs_22": "0.0792443322969332",
352
+ "Family": "Leptodactylidae",
353
+ "Genus": "Adenomera",
354
+ "Species": "AdenomeraAndre",
355
+ "RecordID": "1"
356
+ }
357
+ ]
358
+ }
359
+
360
+ Shortlisted templates:
361
+ [
362
+ {
363
+ "template_id": "tpl_m4_group_ratio_two_conditions",
364
+ "template_name": "Grouped Ratio of Two Conditions",
365
+ "primary_family": "conditional_dependency_structure",
366
+ "portability": "yes",
367
+ "sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;",
368
+ "required_roles": [
369
+ "group_col",
370
+ "condition_col"
371
+ ]
372
+ }
373
+ ]
374
+
375
+ Problem instance:
376
+ {
377
+ "dataset_id": "n7",
378
+ "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=Genus, condition_col=Genus.",
379
+ "planned_template_id": "tpl_m4_group_ratio_two_conditions",
380
+ "bindings": {
381
+ "group_col": "Genus",
382
+ "condition_col": "Genus",
383
+ "condition_value": "Adenomera",
384
+ "positive_value": "Adenomera",
385
+ "negative_value": "Hypsiboas",
386
+ "top_k": 12,
387
+ "top_n": 4,
388
+ "num_tiles": 10,
389
+ "percentile_value": 0.9,
390
+ "z_threshold": 2.0,
391
+ "fraction_threshold": 0.1,
392
+ "baseline_multiplier": 1.5,
393
+ "baseline_fraction": 0.1,
394
+ "min_group_size": 5,
395
+ "min_support": 5,
396
+ "measure_threshold": 0.017348,
397
+ "time_grain": "month",
398
+ "lookback_rows": 3,
399
+ "current_period_start": "'2024-01-01'",
400
+ "current_period_end": "'2024-04-01'",
401
+ "previous_period_start": "'2023-10-01'",
402
+ "previous_period_end": "'2024-01-01'",
403
+ "drift_ratio_threshold": 0.8
404
+ },
405
+ "can_vary": [],
406
+ "must_fix": [],
407
+ "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;"
408
+ }
409
+
410
+ Repair context:
411
+ {}