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  1. Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_002bfb04c0038154/cli/sql_attempt_1.metadata.json +43 -0
  2. Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_002bfb04c0038154/cli/sql_attempt_2.metadata.json +43 -0
  3. Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_002bfb04c0038154/cli/sql_prompt_attempt_1.txt +302 -0
  4. Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_002bfb04c0038154/cli/sql_prompt_attempt_2.txt +302 -0
  5. Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_002bfb04c0038154/cli/sql_response_attempt_1.raw.txt +4 -0
  6. Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_002bfb04c0038154/cli/sql_response_attempt_1.txt +4 -0
  7. Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_002bfb04c0038154/cli/sql_response_attempt_2.raw.txt +4 -0
  8. Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_002bfb04c0038154/cli/sql_response_attempt_2.txt +4 -0
  9. Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_002bfb04c0038154/cli/sql_stderr_attempt_1.txt +0 -0
  10. Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_002bfb04c0038154/cli/sql_stderr_attempt_2.txt +0 -0
  11. Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_004ca483ea0263e1/cli/sql_attempt_1.metadata.json +43 -0
  12. Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_004ca483ea0263e1/cli/sql_attempt_2.metadata.json +43 -0
  13. Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_004ca483ea0263e1/cli/sql_prompt_attempt_1.txt +298 -0
  14. Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_004ca483ea0263e1/cli/sql_prompt_attempt_2.txt +298 -0
  15. Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_004ca483ea0263e1/cli/sql_response_attempt_1.raw.txt +4 -0
  16. Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_004ca483ea0263e1/cli/sql_response_attempt_1.txt +4 -0
  17. Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_004ca483ea0263e1/cli/sql_response_attempt_2.raw.txt +4 -0
  18. Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_004ca483ea0263e1/cli/sql_response_attempt_2.txt +4 -0
  19. Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_004ca483ea0263e1/cli/sql_stderr_attempt_1.txt +0 -0
  20. Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_004ca483ea0263e1/cli/sql_stderr_attempt_2.txt +0 -0
  21. Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_016df9bec687375b/cli/sql_attempt_1.metadata.json +43 -0
  22. Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_016df9bec687375b/cli/sql_attempt_2.metadata.json +43 -0
  23. Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_016df9bec687375b/cli/sql_prompt_attempt_1.txt +300 -0
  24. Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_016df9bec687375b/cli/sql_prompt_attempt_2.txt +300 -0
  25. Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_016df9bec687375b/cli/sql_response_attempt_1.raw.txt +4 -0
  26. Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_016df9bec687375b/cli/sql_response_attempt_1.txt +4 -0
  27. Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_016df9bec687375b/cli/sql_response_attempt_2.raw.txt +4 -0
  28. Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_016df9bec687375b/cli/sql_response_attempt_2.txt +4 -0
  29. Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_016df9bec687375b/cli/sql_stderr_attempt_1.txt +0 -0
  30. Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_016df9bec687375b/cli/sql_stderr_attempt_2.txt +0 -0
  31. Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_037be27a63d1587d/cli/sql_attempt_1.metadata.json +43 -0
  32. Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_037be27a63d1587d/cli/sql_attempt_2.metadata.json +43 -0
  33. Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_037be27a63d1587d/cli/sql_prompt_attempt_1.txt +300 -0
  34. Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_037be27a63d1587d/cli/sql_prompt_attempt_2.txt +300 -0
  35. Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_037be27a63d1587d/cli/sql_response_attempt_1.raw.txt +4 -0
  36. Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_037be27a63d1587d/cli/sql_response_attempt_1.txt +4 -0
  37. Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_037be27a63d1587d/cli/sql_response_attempt_2.raw.txt +4 -0
  38. Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_037be27a63d1587d/cli/sql_response_attempt_2.txt +4 -0
  39. Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_037be27a63d1587d/cli/sql_stderr_attempt_1.txt +0 -0
  40. Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_037be27a63d1587d/cli/sql_stderr_attempt_2.txt +0 -0
  41. Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_043d104aa126e1ac/cli/sql_attempt_1.metadata.json +43 -0
  42. Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_043d104aa126e1ac/cli/sql_attempt_2.metadata.json +43 -0
  43. Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_043d104aa126e1ac/cli/sql_prompt_attempt_1.txt +302 -0
  44. Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_043d104aa126e1ac/cli/sql_prompt_attempt_2.txt +302 -0
  45. Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_043d104aa126e1ac/cli/sql_response_attempt_1.raw.txt +4 -0
  46. Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_043d104aa126e1ac/cli/sql_response_attempt_1.txt +4 -0
  47. Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_043d104aa126e1ac/cli/sql_response_attempt_2.raw.txt +4 -0
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+ {
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+ "attempt": 1,
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+ "attempt": 2,
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+ You are generating one SQLite SELECT query for a single-table SQL QA task.
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+ Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
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+ Rules:
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+ - Use only the provided table and columns.
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+ - Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
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+ - Prefer the planned template and bound roles when provided.
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+ - Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
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+ - Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
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+ - Quote identifiers with double quotes.
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+ - Return no markdown and no extra prose.
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+
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+ Dataset context:
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+ Dataset context for SQL QA:
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+ - dataset_id: n6
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+ - dataset_name: Beed: Bangalore Eeg Epilepsy Dataset
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+ - table_name: n6
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+ - table_layout: single-table dataset (do not assume joins).
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+ - row_semantics: One row is one tabular observation with 16 feature columns and target `y`.
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+ - task_type: classification
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+ - target_column: y
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+ - main_row_count: 8000
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+ - important_fields:
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+ - X1: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X1.
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+ - X2: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X2.
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+ - X3: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X3.
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+ - X4: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X4.
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+ - X5: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X5.
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+ - X6: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X6.
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+ - X7: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X7.
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+ - X8: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X8.
31
+ - X9: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X9.
32
+ - X10: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X10.
33
+ - X11: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X11.
34
+ - X12: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X12.
35
+ - X13: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X13.
36
+ - X14: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X14.
37
+ - X15: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X15.
38
+ - X16: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X16.
39
+ - y: role=target, type=categorical_ordinal_target. ordered=['0', '1', '2', '3'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y.
40
+ - useful_field_combinations: [['y', 'X1', 'y'], ['X1', 'X2', 'y']]
41
+ - fields_requiring_caution: ['y', 'X1', 'X2', 'X3']
42
+ - source_url: https://archive.ics.uci.edu/dataset/1134/beed:+bangalore+eeg+epilepsy+dataset
43
+
44
+ SQLite schema snapshot:
45
+ {
46
+ "table_name": "n6",
47
+ "quoted_table_name": "\"n6\"",
48
+ "row_count": 8000,
49
+ "columns": [
50
+ {
51
+ "name": "X1",
52
+ "type": "TEXT",
53
+ "notnull": false,
54
+ "pk": false
55
+ },
56
+ {
57
+ "name": "X2",
58
+ "type": "TEXT",
59
+ "notnull": false,
60
+ "pk": false
61
+ },
62
+ {
63
+ "name": "X3",
64
+ "type": "TEXT",
65
+ "notnull": false,
66
+ "pk": false
67
+ },
68
+ {
69
+ "name": "X4",
70
+ "type": "TEXT",
71
+ "notnull": false,
72
+ "pk": false
73
+ },
74
+ {
75
+ "name": "X5",
76
+ "type": "TEXT",
77
+ "notnull": false,
78
+ "pk": false
79
+ },
80
+ {
81
+ "name": "X6",
82
+ "type": "TEXT",
83
+ "notnull": false,
84
+ "pk": false
85
+ },
86
+ {
87
+ "name": "X7",
88
+ "type": "TEXT",
89
+ "notnull": false,
90
+ "pk": false
91
+ },
92
+ {
93
+ "name": "X8",
94
+ "type": "TEXT",
95
+ "notnull": false,
96
+ "pk": false
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+ },
98
+ {
99
+ "name": "X9",
100
+ "type": "TEXT",
101
+ "notnull": false,
102
+ "pk": false
103
+ },
104
+ {
105
+ "name": "X10",
106
+ "type": "TEXT",
107
+ "notnull": false,
108
+ "pk": false
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+ },
110
+ {
111
+ "name": "X11",
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+ "type": "TEXT",
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+ "notnull": false,
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+ "pk": false
115
+ },
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+ {
117
+ "name": "X12",
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+ "type": "TEXT",
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+ "notnull": false,
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+ "pk": false
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+ },
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+ {
123
+ "name": "X13",
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+ "type": "TEXT",
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+ "notnull": false,
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+ "pk": false
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+ },
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+ {
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+ "name": "X14",
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+ "type": "TEXT",
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+ "notnull": false,
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+ "pk": false
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+ },
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+ {
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+ "name": "X15",
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+ "type": "TEXT",
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+ "notnull": false,
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+ "pk": false
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+ },
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+ {
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+ "name": "X16",
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+ "type": "TEXT",
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+ "notnull": false,
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+ "pk": false
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+ },
146
+ {
147
+ "name": "y",
148
+ "type": "TEXT",
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+ "notnull": false,
150
+ "pk": false
151
+ }
152
+ ],
153
+ "sample_rows": [
154
+ {
155
+ "X1": "4",
156
+ "X2": "7",
157
+ "X3": "18",
158
+ "X4": "25",
159
+ "X5": "28",
160
+ "X6": "27",
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+ "X7": "20",
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+ "X8": "10",
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+ "X9": "-10",
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+ "X10": "-18",
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+ "X11": "-20",
166
+ "X12": "-16",
167
+ "X13": "13",
168
+ "X14": "32",
169
+ "X15": "12",
170
+ "X16": "10",
171
+ "y": "0"
172
+ },
173
+ {
174
+ "X1": "87",
175
+ "X2": "114",
176
+ "X3": "120",
177
+ "X4": "106",
178
+ "X5": "76",
179
+ "X6": "54",
180
+ "X7": "28",
181
+ "X8": "5",
182
+ "X9": "-19",
183
+ "X10": "-49",
184
+ "X11": "-85",
185
+ "X12": "-102",
186
+ "X13": "-100",
187
+ "X14": "-89",
188
+ "X15": "-61",
189
+ "X16": "-21",
190
+ "y": "0"
191
+ },
192
+ {
193
+ "X1": "-131",
194
+ "X2": "-133",
195
+ "X3": "-140",
196
+ "X4": "-131",
197
+ "X5": "-123",
198
+ "X6": "-108",
199
+ "X7": "-58",
200
+ "X8": "-51",
201
+ "X9": "-70",
202
+ "X10": "-77",
203
+ "X11": "-76",
204
+ "X12": "-76",
205
+ "X13": "-73",
206
+ "X14": "-57",
207
+ "X15": "-40",
208
+ "X16": "-14",
209
+ "y": "0"
210
+ },
211
+ {
212
+ "X1": "68",
213
+ "X2": "104",
214
+ "X3": "73",
215
+ "X4": "34",
216
+ "X5": "-12",
217
+ "X6": "-26",
218
+ "X7": "-38",
219
+ "X8": "-36",
220
+ "X9": "-67",
221
+ "X10": "-88",
222
+ "X11": "-25",
223
+ "X12": "31",
224
+ "X13": "18",
225
+ "X14": "-4",
226
+ "X15": "6",
227
+ "X16": "-29",
228
+ "y": "0"
229
+ },
230
+ {
231
+ "X1": "-67",
232
+ "X2": "-90",
233
+ "X3": "-97",
234
+ "X4": "-94",
235
+ "X5": "-86",
236
+ "X6": "-71",
237
+ "X7": "-43",
238
+ "X8": "-11",
239
+ "X9": "23",
240
+ "X10": "46",
241
+ "X11": "58",
242
+ "X12": "50",
243
+ "X13": "39",
244
+ "X14": "19",
245
+ "X15": "-9",
246
+ "X16": "-41",
247
+ "y": "0"
248
+ }
249
+ ]
250
+ }
251
+
252
+ Shortlisted templates:
253
+ [
254
+ {
255
+ "template_id": "tpl_tpcds_within_group_share",
256
+ "template_name": "Within-Group Share of Total",
257
+ "primary_family": "conditional_dependency_structure",
258
+ "portability": "partial",
259
+ "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;",
260
+ "required_roles": [
261
+ "group_col",
262
+ "item_col",
263
+ "measure_col"
264
+ ]
265
+ }
266
+ ]
267
+
268
+ Problem instance:
269
+ {
270
+ "dataset_id": "n6",
271
+ "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=y, measure_col=X11.",
272
+ "planned_template_id": "tpl_tpcds_within_group_share",
273
+ "bindings": {
274
+ "group_col": "y",
275
+ "measure_col": "X11",
276
+ "item_col": "X12",
277
+ "top_k": 16,
278
+ "top_n": 6,
279
+ "num_tiles": 10,
280
+ "percentile_value": 0.9,
281
+ "z_threshold": 2.0,
282
+ "fraction_threshold": 0.05,
283
+ "baseline_multiplier": 1.75,
284
+ "baseline_fraction": 0.1,
285
+ "min_group_size": 5,
286
+ "min_support": 4,
287
+ "measure_threshold": 3.0,
288
+ "time_grain": "month",
289
+ "lookback_rows": 3,
290
+ "current_period_start": "'2024-01-01'",
291
+ "current_period_end": "'2024-04-01'",
292
+ "previous_period_start": "'2023-10-01'",
293
+ "previous_period_end": "'2024-01-01'",
294
+ "drift_ratio_threshold": 0.8
295
+ },
296
+ "can_vary": [],
297
+ "must_fix": [],
298
+ "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;"
299
+ }
300
+
301
+ Repair context:
302
+ {}
Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_002bfb04c0038154/cli/sql_prompt_attempt_2.txt ADDED
@@ -0,0 +1,302 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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: n6
15
+ - dataset_name: Beed: Bangalore Eeg Epilepsy Dataset
16
+ - table_name: n6
17
+ - table_layout: single-table dataset (do not assume joins).
18
+ - row_semantics: One row is one tabular observation with 16 feature columns and target `y`.
19
+ - task_type: classification
20
+ - target_column: y
21
+ - main_row_count: 8000
22
+ - important_fields:
23
+ - X1: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X1.
24
+ - X2: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X2.
25
+ - X3: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X3.
26
+ - X4: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X4.
27
+ - X5: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X5.
28
+ - X6: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X6.
29
+ - X7: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X7.
30
+ - X8: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X8.
31
+ - X9: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X9.
32
+ - X10: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X10.
33
+ - X11: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X11.
34
+ - X12: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X12.
35
+ - X13: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X13.
36
+ - X14: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X14.
37
+ - X15: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X15.
38
+ - X16: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X16.
39
+ - y: role=target, type=categorical_ordinal_target. ordered=['0', '1', '2', '3'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y.
40
+ - useful_field_combinations: [['y', 'X1', 'y'], ['X1', 'X2', 'y']]
41
+ - fields_requiring_caution: ['y', 'X1', 'X2', 'X3']
42
+ - source_url: https://archive.ics.uci.edu/dataset/1134/beed:+bangalore+eeg+epilepsy+dataset
43
+
44
+ SQLite schema snapshot:
45
+ {
46
+ "table_name": "n6",
47
+ "quoted_table_name": "\"n6\"",
48
+ "row_count": 8000,
49
+ "columns": [
50
+ {
51
+ "name": "X1",
52
+ "type": "TEXT",
53
+ "notnull": false,
54
+ "pk": false
55
+ },
56
+ {
57
+ "name": "X2",
58
+ "type": "TEXT",
59
+ "notnull": false,
60
+ "pk": false
61
+ },
62
+ {
63
+ "name": "X3",
64
+ "type": "TEXT",
65
+ "notnull": false,
66
+ "pk": false
67
+ },
68
+ {
69
+ "name": "X4",
70
+ "type": "TEXT",
71
+ "notnull": false,
72
+ "pk": false
73
+ },
74
+ {
75
+ "name": "X5",
76
+ "type": "TEXT",
77
+ "notnull": false,
78
+ "pk": false
79
+ },
80
+ {
81
+ "name": "X6",
82
+ "type": "TEXT",
83
+ "notnull": false,
84
+ "pk": false
85
+ },
86
+ {
87
+ "name": "X7",
88
+ "type": "TEXT",
89
+ "notnull": false,
90
+ "pk": false
91
+ },
92
+ {
93
+ "name": "X8",
94
+ "type": "TEXT",
95
+ "notnull": false,
96
+ "pk": false
97
+ },
98
+ {
99
+ "name": "X9",
100
+ "type": "TEXT",
101
+ "notnull": false,
102
+ "pk": false
103
+ },
104
+ {
105
+ "name": "X10",
106
+ "type": "TEXT",
107
+ "notnull": false,
108
+ "pk": false
109
+ },
110
+ {
111
+ "name": "X11",
112
+ "type": "TEXT",
113
+ "notnull": false,
114
+ "pk": false
115
+ },
116
+ {
117
+ "name": "X12",
118
+ "type": "TEXT",
119
+ "notnull": false,
120
+ "pk": false
121
+ },
122
+ {
123
+ "name": "X13",
124
+ "type": "TEXT",
125
+ "notnull": false,
126
+ "pk": false
127
+ },
128
+ {
129
+ "name": "X14",
130
+ "type": "TEXT",
131
+ "notnull": false,
132
+ "pk": false
133
+ },
134
+ {
135
+ "name": "X15",
136
+ "type": "TEXT",
137
+ "notnull": false,
138
+ "pk": false
139
+ },
140
+ {
141
+ "name": "X16",
142
+ "type": "TEXT",
143
+ "notnull": false,
144
+ "pk": false
145
+ },
146
+ {
147
+ "name": "y",
148
+ "type": "TEXT",
149
+ "notnull": false,
150
+ "pk": false
151
+ }
152
+ ],
153
+ "sample_rows": [
154
+ {
155
+ "X1": "4",
156
+ "X2": "7",
157
+ "X3": "18",
158
+ "X4": "25",
159
+ "X5": "28",
160
+ "X6": "27",
161
+ "X7": "20",
162
+ "X8": "10",
163
+ "X9": "-10",
164
+ "X10": "-18",
165
+ "X11": "-20",
166
+ "X12": "-16",
167
+ "X13": "13",
168
+ "X14": "32",
169
+ "X15": "12",
170
+ "X16": "10",
171
+ "y": "0"
172
+ },
173
+ {
174
+ "X1": "87",
175
+ "X2": "114",
176
+ "X3": "120",
177
+ "X4": "106",
178
+ "X5": "76",
179
+ "X6": "54",
180
+ "X7": "28",
181
+ "X8": "5",
182
+ "X9": "-19",
183
+ "X10": "-49",
184
+ "X11": "-85",
185
+ "X12": "-102",
186
+ "X13": "-100",
187
+ "X14": "-89",
188
+ "X15": "-61",
189
+ "X16": "-21",
190
+ "y": "0"
191
+ },
192
+ {
193
+ "X1": "-131",
194
+ "X2": "-133",
195
+ "X3": "-140",
196
+ "X4": "-131",
197
+ "X5": "-123",
198
+ "X6": "-108",
199
+ "X7": "-58",
200
+ "X8": "-51",
201
+ "X9": "-70",
202
+ "X10": "-77",
203
+ "X11": "-76",
204
+ "X12": "-76",
205
+ "X13": "-73",
206
+ "X14": "-57",
207
+ "X15": "-40",
208
+ "X16": "-14",
209
+ "y": "0"
210
+ },
211
+ {
212
+ "X1": "68",
213
+ "X2": "104",
214
+ "X3": "73",
215
+ "X4": "34",
216
+ "X5": "-12",
217
+ "X6": "-26",
218
+ "X7": "-38",
219
+ "X8": "-36",
220
+ "X9": "-67",
221
+ "X10": "-88",
222
+ "X11": "-25",
223
+ "X12": "31",
224
+ "X13": "18",
225
+ "X14": "-4",
226
+ "X15": "6",
227
+ "X16": "-29",
228
+ "y": "0"
229
+ },
230
+ {
231
+ "X1": "-67",
232
+ "X2": "-90",
233
+ "X3": "-97",
234
+ "X4": "-94",
235
+ "X5": "-86",
236
+ "X6": "-71",
237
+ "X7": "-43",
238
+ "X8": "-11",
239
+ "X9": "23",
240
+ "X10": "46",
241
+ "X11": "58",
242
+ "X12": "50",
243
+ "X13": "39",
244
+ "X14": "19",
245
+ "X15": "-9",
246
+ "X16": "-41",
247
+ "y": "0"
248
+ }
249
+ ]
250
+ }
251
+
252
+ Shortlisted templates:
253
+ [
254
+ {
255
+ "template_id": "tpl_tpcds_within_group_share",
256
+ "template_name": "Within-Group Share of Total",
257
+ "primary_family": "conditional_dependency_structure",
258
+ "portability": "partial",
259
+ "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;",
260
+ "required_roles": [
261
+ "group_col",
262
+ "item_col",
263
+ "measure_col"
264
+ ]
265
+ }
266
+ ]
267
+
268
+ Problem instance:
269
+ {
270
+ "dataset_id": "n6",
271
+ "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=y, measure_col=X11.",
272
+ "planned_template_id": "tpl_tpcds_within_group_share",
273
+ "bindings": {
274
+ "group_col": "y",
275
+ "measure_col": "X11",
276
+ "item_col": "X12",
277
+ "top_k": 16,
278
+ "top_n": 6,
279
+ "num_tiles": 10,
280
+ "percentile_value": 0.9,
281
+ "z_threshold": 2.0,
282
+ "fraction_threshold": 0.05,
283
+ "baseline_multiplier": 1.75,
284
+ "baseline_fraction": 0.1,
285
+ "min_group_size": 5,
286
+ "min_support": 4,
287
+ "measure_threshold": 3.0,
288
+ "time_grain": "month",
289
+ "lookback_rows": 3,
290
+ "current_period_start": "'2024-01-01'",
291
+ "current_period_end": "'2024-04-01'",
292
+ "previous_period_start": "'2023-10-01'",
293
+ "previous_period_end": "'2024-01-01'",
294
+ "drift_ratio_threshold": 0.8
295
+ },
296
+ "can_vary": [],
297
+ "must_fix": [],
298
+ "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;"
299
+ }
300
+
301
+ Repair context:
302
+ {}
Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_002bfb04c0038154/cli/sql_response_attempt_1.raw.txt ADDED
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3
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4
+ {"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_002bfb04c0038154/cli/sql_response_attempt_1.txt ADDED
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+ {"type":"turn.started"}
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+ {"type":"error","message":"Quota exceeded. Check your plan and billing details."}
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+ {"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_002bfb04c0038154/cli/sql_response_attempt_2.raw.txt ADDED
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2
+ {"type":"turn.started"}
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+ {"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_f/n6/artifacts/v2q_n6_002bfb04c0038154/cli/sql_response_attempt_2.txt ADDED
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+ {"type":"thread.started","thread_id":"019e4102-3b98-7e21-8cf4-d3ffde7073f7"}
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_f/n6/artifacts/v2q_n6_002bfb04c0038154/cli/sql_stderr_attempt_1.txt ADDED
File without changes
Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_002bfb04c0038154/cli/sql_stderr_attempt_2.txt ADDED
File without changes
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@@ -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": "2026-05-19T16:10:46.549599+00:00",
6
+ "ended_at": "2026-05-19T16:10:49.923579+00:00",
7
+ "elapsed_ms": 3373.96,
8
+ "returncode": 1,
9
+ "prompt_metrics": {
10
+ "chars": 8341,
11
+ "bytes_utf8": 8341,
12
+ "lines": 298,
13
+ "estimated_tokens": null
14
+ },
15
+ "stdout_metrics": {
16
+ "chars": 281,
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+ "lines": 4,
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+ "stderr_metrics": {
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24
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25
+ "estimated_tokens": null
26
+ },
27
+ "parsed_output": {
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+ "format": "jsonl_events",
29
+ "text_metrics": {
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+ "chars": 280,
31
+ "bytes_utf8": 280,
32
+ "lines": 4,
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+ "estimated_tokens": null
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+ },
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+ "usage": {}
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+ },
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_f/n6/artifacts/v2q_n6_004ca483ea0263e1/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": "2026-05-19T16:10:50.925968+00:00",
6
+ "ended_at": "2026-05-19T16:10:54.090582+00:00",
7
+ "elapsed_ms": 3164.55,
8
+ "returncode": 1,
9
+ "prompt_metrics": {
10
+ "chars": 8341,
11
+ "bytes_utf8": 8341,
12
+ "lines": 298,
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_f/n6/artifacts/v2q_n6_004ca483ea0263e1/cli/sql_prompt_attempt_1.txt ADDED
@@ -0,0 +1,298 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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: n6
15
+ - dataset_name: Beed: Bangalore Eeg Epilepsy Dataset
16
+ - table_name: n6
17
+ - table_layout: single-table dataset (do not assume joins).
18
+ - row_semantics: One row is one tabular observation with 16 feature columns and target `y`.
19
+ - task_type: classification
20
+ - target_column: y
21
+ - main_row_count: 8000
22
+ - important_fields:
23
+ - X1: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X1.
24
+ - X2: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X2.
25
+ - X3: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X3.
26
+ - X4: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X4.
27
+ - X5: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X5.
28
+ - X6: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X6.
29
+ - X7: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X7.
30
+ - X8: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X8.
31
+ - X9: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X9.
32
+ - X10: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X10.
33
+ - X11: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X11.
34
+ - X12: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X12.
35
+ - X13: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X13.
36
+ - X14: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X14.
37
+ - X15: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X15.
38
+ - X16: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X16.
39
+ - y: role=target, type=categorical_ordinal_target. ordered=['0', '1', '2', '3'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y.
40
+ - useful_field_combinations: [['y', 'X1', 'y'], ['X1', 'X2', 'y']]
41
+ - fields_requiring_caution: ['y', 'X1', 'X2', 'X3']
42
+ - source_url: https://archive.ics.uci.edu/dataset/1134/beed:+bangalore+eeg+epilepsy+dataset
43
+
44
+ SQLite schema snapshot:
45
+ {
46
+ "table_name": "n6",
47
+ "quoted_table_name": "\"n6\"",
48
+ "row_count": 8000,
49
+ "columns": [
50
+ {
51
+ "name": "X1",
52
+ "type": "TEXT",
53
+ "notnull": false,
54
+ "pk": false
55
+ },
56
+ {
57
+ "name": "X2",
58
+ "type": "TEXT",
59
+ "notnull": false,
60
+ "pk": false
61
+ },
62
+ {
63
+ "name": "X3",
64
+ "type": "TEXT",
65
+ "notnull": false,
66
+ "pk": false
67
+ },
68
+ {
69
+ "name": "X4",
70
+ "type": "TEXT",
71
+ "notnull": false,
72
+ "pk": false
73
+ },
74
+ {
75
+ "name": "X5",
76
+ "type": "TEXT",
77
+ "notnull": false,
78
+ "pk": false
79
+ },
80
+ {
81
+ "name": "X6",
82
+ "type": "TEXT",
83
+ "notnull": false,
84
+ "pk": false
85
+ },
86
+ {
87
+ "name": "X7",
88
+ "type": "TEXT",
89
+ "notnull": false,
90
+ "pk": false
91
+ },
92
+ {
93
+ "name": "X8",
94
+ "type": "TEXT",
95
+ "notnull": false,
96
+ "pk": false
97
+ },
98
+ {
99
+ "name": "X9",
100
+ "type": "TEXT",
101
+ "notnull": false,
102
+ "pk": false
103
+ },
104
+ {
105
+ "name": "X10",
106
+ "type": "TEXT",
107
+ "notnull": false,
108
+ "pk": false
109
+ },
110
+ {
111
+ "name": "X11",
112
+ "type": "TEXT",
113
+ "notnull": false,
114
+ "pk": false
115
+ },
116
+ {
117
+ "name": "X12",
118
+ "type": "TEXT",
119
+ "notnull": false,
120
+ "pk": false
121
+ },
122
+ {
123
+ "name": "X13",
124
+ "type": "TEXT",
125
+ "notnull": false,
126
+ "pk": false
127
+ },
128
+ {
129
+ "name": "X14",
130
+ "type": "TEXT",
131
+ "notnull": false,
132
+ "pk": false
133
+ },
134
+ {
135
+ "name": "X15",
136
+ "type": "TEXT",
137
+ "notnull": false,
138
+ "pk": false
139
+ },
140
+ {
141
+ "name": "X16",
142
+ "type": "TEXT",
143
+ "notnull": false,
144
+ "pk": false
145
+ },
146
+ {
147
+ "name": "y",
148
+ "type": "TEXT",
149
+ "notnull": false,
150
+ "pk": false
151
+ }
152
+ ],
153
+ "sample_rows": [
154
+ {
155
+ "X1": "4",
156
+ "X2": "7",
157
+ "X3": "18",
158
+ "X4": "25",
159
+ "X5": "28",
160
+ "X6": "27",
161
+ "X7": "20",
162
+ "X8": "10",
163
+ "X9": "-10",
164
+ "X10": "-18",
165
+ "X11": "-20",
166
+ "X12": "-16",
167
+ "X13": "13",
168
+ "X14": "32",
169
+ "X15": "12",
170
+ "X16": "10",
171
+ "y": "0"
172
+ },
173
+ {
174
+ "X1": "87",
175
+ "X2": "114",
176
+ "X3": "120",
177
+ "X4": "106",
178
+ "X5": "76",
179
+ "X6": "54",
180
+ "X7": "28",
181
+ "X8": "5",
182
+ "X9": "-19",
183
+ "X10": "-49",
184
+ "X11": "-85",
185
+ "X12": "-102",
186
+ "X13": "-100",
187
+ "X14": "-89",
188
+ "X15": "-61",
189
+ "X16": "-21",
190
+ "y": "0"
191
+ },
192
+ {
193
+ "X1": "-131",
194
+ "X2": "-133",
195
+ "X3": "-140",
196
+ "X4": "-131",
197
+ "X5": "-123",
198
+ "X6": "-108",
199
+ "X7": "-58",
200
+ "X8": "-51",
201
+ "X9": "-70",
202
+ "X10": "-77",
203
+ "X11": "-76",
204
+ "X12": "-76",
205
+ "X13": "-73",
206
+ "X14": "-57",
207
+ "X15": "-40",
208
+ "X16": "-14",
209
+ "y": "0"
210
+ },
211
+ {
212
+ "X1": "68",
213
+ "X2": "104",
214
+ "X3": "73",
215
+ "X4": "34",
216
+ "X5": "-12",
217
+ "X6": "-26",
218
+ "X7": "-38",
219
+ "X8": "-36",
220
+ "X9": "-67",
221
+ "X10": "-88",
222
+ "X11": "-25",
223
+ "X12": "31",
224
+ "X13": "18",
225
+ "X14": "-4",
226
+ "X15": "6",
227
+ "X16": "-29",
228
+ "y": "0"
229
+ },
230
+ {
231
+ "X1": "-67",
232
+ "X2": "-90",
233
+ "X3": "-97",
234
+ "X4": "-94",
235
+ "X5": "-86",
236
+ "X6": "-71",
237
+ "X7": "-43",
238
+ "X8": "-11",
239
+ "X9": "23",
240
+ "X10": "46",
241
+ "X11": "58",
242
+ "X12": "50",
243
+ "X13": "39",
244
+ "X14": "19",
245
+ "X15": "-9",
246
+ "X16": "-41",
247
+ "y": "0"
248
+ }
249
+ ]
250
+ }
251
+
252
+ Shortlisted templates:
253
+ [
254
+ {
255
+ "template_id": "tpl_clickbench_group_count",
256
+ "template_name": "Grouped Count by Category",
257
+ "primary_family": "subgroup_structure",
258
+ "portability": "yes",
259
+ "sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;",
260
+ "required_roles": [
261
+ "group_col"
262
+ ]
263
+ }
264
+ ]
265
+
266
+ Problem instance:
267
+ {
268
+ "dataset_id": "n6",
269
+ "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=y.",
270
+ "planned_template_id": "tpl_clickbench_group_count",
271
+ "bindings": {
272
+ "group_col": "y",
273
+ "top_k": 14,
274
+ "top_n": 5,
275
+ "num_tiles": 10,
276
+ "percentile_value": 0.95,
277
+ "z_threshold": 2.0,
278
+ "fraction_threshold": 0.1,
279
+ "baseline_multiplier": 1.5,
280
+ "baseline_fraction": 0.1,
281
+ "min_group_size": 5,
282
+ "min_support": 5,
283
+ "measure_threshold": 5.0,
284
+ "time_grain": "month",
285
+ "lookback_rows": 3,
286
+ "current_period_start": "'2024-01-01'",
287
+ "current_period_end": "'2024-04-01'",
288
+ "previous_period_start": "'2023-10-01'",
289
+ "previous_period_end": "'2024-01-01'",
290
+ "drift_ratio_threshold": 0.8
291
+ },
292
+ "can_vary": [],
293
+ "must_fix": [],
294
+ "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;"
295
+ }
296
+
297
+ Repair context:
298
+ {}
Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_004ca483ea0263e1/cli/sql_prompt_attempt_2.txt ADDED
@@ -0,0 +1,298 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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: n6
15
+ - dataset_name: Beed: Bangalore Eeg Epilepsy Dataset
16
+ - table_name: n6
17
+ - table_layout: single-table dataset (do not assume joins).
18
+ - row_semantics: One row is one tabular observation with 16 feature columns and target `y`.
19
+ - task_type: classification
20
+ - target_column: y
21
+ - main_row_count: 8000
22
+ - important_fields:
23
+ - X1: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X1.
24
+ - X2: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X2.
25
+ - X3: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X3.
26
+ - X4: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X4.
27
+ - X5: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X5.
28
+ - X6: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X6.
29
+ - X7: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X7.
30
+ - X8: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X8.
31
+ - X9: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X9.
32
+ - X10: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X10.
33
+ - X11: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X11.
34
+ - X12: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X12.
35
+ - X13: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X13.
36
+ - X14: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X14.
37
+ - X15: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X15.
38
+ - X16: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X16.
39
+ - y: role=target, type=categorical_ordinal_target. ordered=['0', '1', '2', '3'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y.
40
+ - useful_field_combinations: [['y', 'X1', 'y'], ['X1', 'X2', 'y']]
41
+ - fields_requiring_caution: ['y', 'X1', 'X2', 'X3']
42
+ - source_url: https://archive.ics.uci.edu/dataset/1134/beed:+bangalore+eeg+epilepsy+dataset
43
+
44
+ SQLite schema snapshot:
45
+ {
46
+ "table_name": "n6",
47
+ "quoted_table_name": "\"n6\"",
48
+ "row_count": 8000,
49
+ "columns": [
50
+ {
51
+ "name": "X1",
52
+ "type": "TEXT",
53
+ "notnull": false,
54
+ "pk": false
55
+ },
56
+ {
57
+ "name": "X2",
58
+ "type": "TEXT",
59
+ "notnull": false,
60
+ "pk": false
61
+ },
62
+ {
63
+ "name": "X3",
64
+ "type": "TEXT",
65
+ "notnull": false,
66
+ "pk": false
67
+ },
68
+ {
69
+ "name": "X4",
70
+ "type": "TEXT",
71
+ "notnull": false,
72
+ "pk": false
73
+ },
74
+ {
75
+ "name": "X5",
76
+ "type": "TEXT",
77
+ "notnull": false,
78
+ "pk": false
79
+ },
80
+ {
81
+ "name": "X6",
82
+ "type": "TEXT",
83
+ "notnull": false,
84
+ "pk": false
85
+ },
86
+ {
87
+ "name": "X7",
88
+ "type": "TEXT",
89
+ "notnull": false,
90
+ "pk": false
91
+ },
92
+ {
93
+ "name": "X8",
94
+ "type": "TEXT",
95
+ "notnull": false,
96
+ "pk": false
97
+ },
98
+ {
99
+ "name": "X9",
100
+ "type": "TEXT",
101
+ "notnull": false,
102
+ "pk": false
103
+ },
104
+ {
105
+ "name": "X10",
106
+ "type": "TEXT",
107
+ "notnull": false,
108
+ "pk": false
109
+ },
110
+ {
111
+ "name": "X11",
112
+ "type": "TEXT",
113
+ "notnull": false,
114
+ "pk": false
115
+ },
116
+ {
117
+ "name": "X12",
118
+ "type": "TEXT",
119
+ "notnull": false,
120
+ "pk": false
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+ },
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+ {
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+ "name": "X13",
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+ "type": "TEXT",
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+ "notnull": false,
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+ "pk": false
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+ },
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+ {
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+ "name": "X14",
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+ "type": "TEXT",
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+ "notnull": false,
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+ "pk": false
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+ },
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+ {
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+ "name": "X15",
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+ "type": "TEXT",
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+ "notnull": false,
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+ "pk": false
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+ },
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+ {
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+ "name": "X16",
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+ "type": "TEXT",
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+ "notnull": false,
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+ "pk": false
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+ },
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+ {
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+ "name": "y",
148
+ "type": "TEXT",
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+ "notnull": false,
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+ "pk": false
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+ }
152
+ ],
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+ "sample_rows": [
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+ {
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+ "X1": "4",
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+ "X2": "7",
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+ "X3": "18",
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+ "X4": "25",
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+ "X5": "28",
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+ "X6": "27",
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+ "X7": "20",
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+ "X8": "10",
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+ "X9": "-10",
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+ "X10": "-18",
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+ "X11": "-20",
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+ "X12": "-16",
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+ "X13": "13",
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+ "X14": "32",
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+ "X15": "12",
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+ "X16": "10",
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+ "y": "0"
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+ },
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+ {
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+ "X1": "87",
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+ "X2": "114",
176
+ "X3": "120",
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+ "X4": "106",
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+ "X5": "76",
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+ "X6": "54",
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+ "X7": "28",
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+ "X8": "5",
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+ "X9": "-19",
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+ "X10": "-49",
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+ "X11": "-85",
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+ "X12": "-102",
186
+ "X13": "-100",
187
+ "X14": "-89",
188
+ "X15": "-61",
189
+ "X16": "-21",
190
+ "y": "0"
191
+ },
192
+ {
193
+ "X1": "-131",
194
+ "X2": "-133",
195
+ "X3": "-140",
196
+ "X4": "-131",
197
+ "X5": "-123",
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+ "X6": "-108",
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+ "X7": "-58",
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+ "X8": "-51",
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+ "X9": "-70",
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+ "X10": "-77",
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+ "X11": "-76",
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+ "X12": "-76",
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+ "X13": "-73",
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+ "X14": "-57",
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+ "X15": "-40",
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+ "X16": "-14",
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+ "y": "0"
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+ },
211
+ {
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+ "X1": "68",
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+ "X2": "104",
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+ "X3": "73",
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+ "X4": "34",
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+ "X5": "-12",
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+ "X6": "-26",
218
+ "X7": "-38",
219
+ "X8": "-36",
220
+ "X9": "-67",
221
+ "X10": "-88",
222
+ "X11": "-25",
223
+ "X12": "31",
224
+ "X13": "18",
225
+ "X14": "-4",
226
+ "X15": "6",
227
+ "X16": "-29",
228
+ "y": "0"
229
+ },
230
+ {
231
+ "X1": "-67",
232
+ "X2": "-90",
233
+ "X3": "-97",
234
+ "X4": "-94",
235
+ "X5": "-86",
236
+ "X6": "-71",
237
+ "X7": "-43",
238
+ "X8": "-11",
239
+ "X9": "23",
240
+ "X10": "46",
241
+ "X11": "58",
242
+ "X12": "50",
243
+ "X13": "39",
244
+ "X14": "19",
245
+ "X15": "-9",
246
+ "X16": "-41",
247
+ "y": "0"
248
+ }
249
+ ]
250
+ }
251
+
252
+ Shortlisted templates:
253
+ [
254
+ {
255
+ "template_id": "tpl_clickbench_group_count",
256
+ "template_name": "Grouped Count by Category",
257
+ "primary_family": "subgroup_structure",
258
+ "portability": "yes",
259
+ "sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;",
260
+ "required_roles": [
261
+ "group_col"
262
+ ]
263
+ }
264
+ ]
265
+
266
+ Problem instance:
267
+ {
268
+ "dataset_id": "n6",
269
+ "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=y.",
270
+ "planned_template_id": "tpl_clickbench_group_count",
271
+ "bindings": {
272
+ "group_col": "y",
273
+ "top_k": 14,
274
+ "top_n": 5,
275
+ "num_tiles": 10,
276
+ "percentile_value": 0.95,
277
+ "z_threshold": 2.0,
278
+ "fraction_threshold": 0.1,
279
+ "baseline_multiplier": 1.5,
280
+ "baseline_fraction": 0.1,
281
+ "min_group_size": 5,
282
+ "min_support": 5,
283
+ "measure_threshold": 5.0,
284
+ "time_grain": "month",
285
+ "lookback_rows": 3,
286
+ "current_period_start": "'2024-01-01'",
287
+ "current_period_end": "'2024-04-01'",
288
+ "previous_period_start": "'2023-10-01'",
289
+ "previous_period_end": "'2024-01-01'",
290
+ "drift_ratio_threshold": 0.8
291
+ },
292
+ "can_vary": [],
293
+ "must_fix": [],
294
+ "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;"
295
+ }
296
+
297
+ Repair context:
298
+ {}
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+ {"type":"turn.started"}
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+ {"type":"thread.started","thread_id":"019e4101-17ba-72b0-86c7-527384310692"}
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+ {"type":"turn.started"}
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+ {"type":"error","message":"Quota exceeded. Check your plan and billing details."}
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+ {"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_004ca483ea0263e1/cli/sql_stderr_attempt_1.txt ADDED
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File without changes
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+ {
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+ "attempt": 1,
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+ "phase": "sql_generation",
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+ "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
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+ "prompt_metrics": {
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+ "chars": 8602,
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+ "chars": 281,
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+ },
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+ "lines": 4,
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+ },
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+ "usage": {}
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+ },
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+ "status": "failed",
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+ "error": "AI CLI command failed with exit code 1: ",
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+ "prompt_path": "cli/sql_prompt_attempt_1.txt",
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+ "response_path": "cli/sql_response_attempt_1.txt",
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+ "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
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+ "stderr_path": "cli/sql_stderr_attempt_1.txt"
43
+ }
Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_016df9bec687375b/cli/sql_attempt_2.metadata.json ADDED
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+ {
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+ "attempt": 2,
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+ "phase": "sql_generation",
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+ "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
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+ },
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+ "usage": {}
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+ },
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+ "status": "failed",
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+ "error": "AI CLI command failed with exit code 1: ",
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+ "prompt_path": "cli/sql_prompt_attempt_2.txt",
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+ "response_path": "cli/sql_response_attempt_2.txt",
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+ "raw_response_path": "cli/sql_response_attempt_2.raw.txt",
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+ "stderr_path": "cli/sql_stderr_attempt_2.txt"
43
+ }
Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_016df9bec687375b/cli/sql_prompt_attempt_1.txt ADDED
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1
+ You are generating one SQLite SELECT query for a single-table SQL QA task.
2
+ Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
3
+ Rules:
4
+ - Use only the provided table and columns.
5
+ - Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
6
+ - Prefer the planned template and bound roles when provided.
7
+ - Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
8
+ - Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
9
+ - Quote identifiers with double quotes.
10
+ - Return no markdown and no extra prose.
11
+
12
+ Dataset context:
13
+ Dataset context for SQL QA:
14
+ - dataset_id: n6
15
+ - dataset_name: Beed: Bangalore Eeg Epilepsy Dataset
16
+ - table_name: n6
17
+ - table_layout: single-table dataset (do not assume joins).
18
+ - row_semantics: One row is one tabular observation with 16 feature columns and target `y`.
19
+ - task_type: classification
20
+ - target_column: y
21
+ - main_row_count: 8000
22
+ - important_fields:
23
+ - X1: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X1.
24
+ - X2: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X2.
25
+ - X3: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X3.
26
+ - X4: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X4.
27
+ - X5: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X5.
28
+ - X6: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X6.
29
+ - X7: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X7.
30
+ - X8: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X8.
31
+ - X9: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X9.
32
+ - X10: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X10.
33
+ - X11: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X11.
34
+ - X12: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X12.
35
+ - X13: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X13.
36
+ - X14: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X14.
37
+ - X15: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X15.
38
+ - X16: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X16.
39
+ - y: role=target, type=categorical_ordinal_target. ordered=['0', '1', '2', '3'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y.
40
+ - useful_field_combinations: [['y', 'X1', 'y'], ['X1', 'X2', 'y']]
41
+ - fields_requiring_caution: ['y', 'X1', 'X2', 'X3']
42
+ - source_url: https://archive.ics.uci.edu/dataset/1134/beed:+bangalore+eeg+epilepsy+dataset
43
+
44
+ SQLite schema snapshot:
45
+ {
46
+ "table_name": "n6",
47
+ "quoted_table_name": "\"n6\"",
48
+ "row_count": 8000,
49
+ "columns": [
50
+ {
51
+ "name": "X1",
52
+ "type": "TEXT",
53
+ "notnull": false,
54
+ "pk": false
55
+ },
56
+ {
57
+ "name": "X2",
58
+ "type": "TEXT",
59
+ "notnull": false,
60
+ "pk": false
61
+ },
62
+ {
63
+ "name": "X3",
64
+ "type": "TEXT",
65
+ "notnull": false,
66
+ "pk": false
67
+ },
68
+ {
69
+ "name": "X4",
70
+ "type": "TEXT",
71
+ "notnull": false,
72
+ "pk": false
73
+ },
74
+ {
75
+ "name": "X5",
76
+ "type": "TEXT",
77
+ "notnull": false,
78
+ "pk": false
79
+ },
80
+ {
81
+ "name": "X6",
82
+ "type": "TEXT",
83
+ "notnull": false,
84
+ "pk": false
85
+ },
86
+ {
87
+ "name": "X7",
88
+ "type": "TEXT",
89
+ "notnull": false,
90
+ "pk": false
91
+ },
92
+ {
93
+ "name": "X8",
94
+ "type": "TEXT",
95
+ "notnull": false,
96
+ "pk": false
97
+ },
98
+ {
99
+ "name": "X9",
100
+ "type": "TEXT",
101
+ "notnull": false,
102
+ "pk": false
103
+ },
104
+ {
105
+ "name": "X10",
106
+ "type": "TEXT",
107
+ "notnull": false,
108
+ "pk": false
109
+ },
110
+ {
111
+ "name": "X11",
112
+ "type": "TEXT",
113
+ "notnull": false,
114
+ "pk": false
115
+ },
116
+ {
117
+ "name": "X12",
118
+ "type": "TEXT",
119
+ "notnull": false,
120
+ "pk": false
121
+ },
122
+ {
123
+ "name": "X13",
124
+ "type": "TEXT",
125
+ "notnull": false,
126
+ "pk": false
127
+ },
128
+ {
129
+ "name": "X14",
130
+ "type": "TEXT",
131
+ "notnull": false,
132
+ "pk": false
133
+ },
134
+ {
135
+ "name": "X15",
136
+ "type": "TEXT",
137
+ "notnull": false,
138
+ "pk": false
139
+ },
140
+ {
141
+ "name": "X16",
142
+ "type": "TEXT",
143
+ "notnull": false,
144
+ "pk": false
145
+ },
146
+ {
147
+ "name": "y",
148
+ "type": "TEXT",
149
+ "notnull": false,
150
+ "pk": false
151
+ }
152
+ ],
153
+ "sample_rows": [
154
+ {
155
+ "X1": "4",
156
+ "X2": "7",
157
+ "X3": "18",
158
+ "X4": "25",
159
+ "X5": "28",
160
+ "X6": "27",
161
+ "X7": "20",
162
+ "X8": "10",
163
+ "X9": "-10",
164
+ "X10": "-18",
165
+ "X11": "-20",
166
+ "X12": "-16",
167
+ "X13": "13",
168
+ "X14": "32",
169
+ "X15": "12",
170
+ "X16": "10",
171
+ "y": "0"
172
+ },
173
+ {
174
+ "X1": "87",
175
+ "X2": "114",
176
+ "X3": "120",
177
+ "X4": "106",
178
+ "X5": "76",
179
+ "X6": "54",
180
+ "X7": "28",
181
+ "X8": "5",
182
+ "X9": "-19",
183
+ "X10": "-49",
184
+ "X11": "-85",
185
+ "X12": "-102",
186
+ "X13": "-100",
187
+ "X14": "-89",
188
+ "X15": "-61",
189
+ "X16": "-21",
190
+ "y": "0"
191
+ },
192
+ {
193
+ "X1": "-131",
194
+ "X2": "-133",
195
+ "X3": "-140",
196
+ "X4": "-131",
197
+ "X5": "-123",
198
+ "X6": "-108",
199
+ "X7": "-58",
200
+ "X8": "-51",
201
+ "X9": "-70",
202
+ "X10": "-77",
203
+ "X11": "-76",
204
+ "X12": "-76",
205
+ "X13": "-73",
206
+ "X14": "-57",
207
+ "X15": "-40",
208
+ "X16": "-14",
209
+ "y": "0"
210
+ },
211
+ {
212
+ "X1": "68",
213
+ "X2": "104",
214
+ "X3": "73",
215
+ "X4": "34",
216
+ "X5": "-12",
217
+ "X6": "-26",
218
+ "X7": "-38",
219
+ "X8": "-36",
220
+ "X9": "-67",
221
+ "X10": "-88",
222
+ "X11": "-25",
223
+ "X12": "31",
224
+ "X13": "18",
225
+ "X14": "-4",
226
+ "X15": "6",
227
+ "X16": "-29",
228
+ "y": "0"
229
+ },
230
+ {
231
+ "X1": "-67",
232
+ "X2": "-90",
233
+ "X3": "-97",
234
+ "X4": "-94",
235
+ "X5": "-86",
236
+ "X6": "-71",
237
+ "X7": "-43",
238
+ "X8": "-11",
239
+ "X9": "23",
240
+ "X10": "46",
241
+ "X11": "58",
242
+ "X12": "50",
243
+ "X13": "39",
244
+ "X14": "19",
245
+ "X15": "-9",
246
+ "X16": "-41",
247
+ "y": "0"
248
+ }
249
+ ]
250
+ }
251
+
252
+ Shortlisted templates:
253
+ [
254
+ {
255
+ "template_id": "tpl_grouped_percentile_point",
256
+ "template_name": "Grouped Percentile Point",
257
+ "primary_family": "tail_rarity_structure",
258
+ "portability": "yes",
259
+ "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;",
260
+ "required_roles": [
261
+ "group_col",
262
+ "measure_col"
263
+ ]
264
+ }
265
+ ]
266
+
267
+ Problem instance:
268
+ {
269
+ "dataset_id": "n6",
270
+ "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=y, measure_col=X10.",
271
+ "planned_template_id": "tpl_grouped_percentile_point",
272
+ "bindings": {
273
+ "group_col": "y",
274
+ "measure_col": "X10",
275
+ "top_k": 19,
276
+ "top_n": 5,
277
+ "num_tiles": 10,
278
+ "percentile_value": 0.95,
279
+ "z_threshold": 2.0,
280
+ "fraction_threshold": 0.05,
281
+ "baseline_multiplier": 1.75,
282
+ "baseline_fraction": 0.1,
283
+ "min_group_size": 5,
284
+ "min_support": 4,
285
+ "measure_threshold": 5.0,
286
+ "time_grain": "month",
287
+ "lookback_rows": 3,
288
+ "current_period_start": "'2024-01-01'",
289
+ "current_period_end": "'2024-04-01'",
290
+ "previous_period_start": "'2023-10-01'",
291
+ "previous_period_end": "'2024-01-01'",
292
+ "drift_ratio_threshold": 0.8
293
+ },
294
+ "can_vary": [],
295
+ "must_fix": [],
296
+ "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;"
297
+ }
298
+
299
+ Repair context:
300
+ {}
Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_016df9bec687375b/cli/sql_prompt_attempt_2.txt ADDED
@@ -0,0 +1,300 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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: n6
15
+ - dataset_name: Beed: Bangalore Eeg Epilepsy Dataset
16
+ - table_name: n6
17
+ - table_layout: single-table dataset (do not assume joins).
18
+ - row_semantics: One row is one tabular observation with 16 feature columns and target `y`.
19
+ - task_type: classification
20
+ - target_column: y
21
+ - main_row_count: 8000
22
+ - important_fields:
23
+ - X1: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X1.
24
+ - X2: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X2.
25
+ - X3: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X3.
26
+ - X4: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X4.
27
+ - X5: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X5.
28
+ - X6: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X6.
29
+ - X7: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X7.
30
+ - X8: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X8.
31
+ - X9: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X9.
32
+ - X10: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X10.
33
+ - X11: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X11.
34
+ - X12: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X12.
35
+ - X13: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X13.
36
+ - X14: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X14.
37
+ - X15: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X15.
38
+ - X16: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X16.
39
+ - y: role=target, type=categorical_ordinal_target. ordered=['0', '1', '2', '3'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y.
40
+ - useful_field_combinations: [['y', 'X1', 'y'], ['X1', 'X2', 'y']]
41
+ - fields_requiring_caution: ['y', 'X1', 'X2', 'X3']
42
+ - source_url: https://archive.ics.uci.edu/dataset/1134/beed:+bangalore+eeg+epilepsy+dataset
43
+
44
+ SQLite schema snapshot:
45
+ {
46
+ "table_name": "n6",
47
+ "quoted_table_name": "\"n6\"",
48
+ "row_count": 8000,
49
+ "columns": [
50
+ {
51
+ "name": "X1",
52
+ "type": "TEXT",
53
+ "notnull": false,
54
+ "pk": false
55
+ },
56
+ {
57
+ "name": "X2",
58
+ "type": "TEXT",
59
+ "notnull": false,
60
+ "pk": false
61
+ },
62
+ {
63
+ "name": "X3",
64
+ "type": "TEXT",
65
+ "notnull": false,
66
+ "pk": false
67
+ },
68
+ {
69
+ "name": "X4",
70
+ "type": "TEXT",
71
+ "notnull": false,
72
+ "pk": false
73
+ },
74
+ {
75
+ "name": "X5",
76
+ "type": "TEXT",
77
+ "notnull": false,
78
+ "pk": false
79
+ },
80
+ {
81
+ "name": "X6",
82
+ "type": "TEXT",
83
+ "notnull": false,
84
+ "pk": false
85
+ },
86
+ {
87
+ "name": "X7",
88
+ "type": "TEXT",
89
+ "notnull": false,
90
+ "pk": false
91
+ },
92
+ {
93
+ "name": "X8",
94
+ "type": "TEXT",
95
+ "notnull": false,
96
+ "pk": false
97
+ },
98
+ {
99
+ "name": "X9",
100
+ "type": "TEXT",
101
+ "notnull": false,
102
+ "pk": false
103
+ },
104
+ {
105
+ "name": "X10",
106
+ "type": "TEXT",
107
+ "notnull": false,
108
+ "pk": false
109
+ },
110
+ {
111
+ "name": "X11",
112
+ "type": "TEXT",
113
+ "notnull": false,
114
+ "pk": false
115
+ },
116
+ {
117
+ "name": "X12",
118
+ "type": "TEXT",
119
+ "notnull": false,
120
+ "pk": false
121
+ },
122
+ {
123
+ "name": "X13",
124
+ "type": "TEXT",
125
+ "notnull": false,
126
+ "pk": false
127
+ },
128
+ {
129
+ "name": "X14",
130
+ "type": "TEXT",
131
+ "notnull": false,
132
+ "pk": false
133
+ },
134
+ {
135
+ "name": "X15",
136
+ "type": "TEXT",
137
+ "notnull": false,
138
+ "pk": false
139
+ },
140
+ {
141
+ "name": "X16",
142
+ "type": "TEXT",
143
+ "notnull": false,
144
+ "pk": false
145
+ },
146
+ {
147
+ "name": "y",
148
+ "type": "TEXT",
149
+ "notnull": false,
150
+ "pk": false
151
+ }
152
+ ],
153
+ "sample_rows": [
154
+ {
155
+ "X1": "4",
156
+ "X2": "7",
157
+ "X3": "18",
158
+ "X4": "25",
159
+ "X5": "28",
160
+ "X6": "27",
161
+ "X7": "20",
162
+ "X8": "10",
163
+ "X9": "-10",
164
+ "X10": "-18",
165
+ "X11": "-20",
166
+ "X12": "-16",
167
+ "X13": "13",
168
+ "X14": "32",
169
+ "X15": "12",
170
+ "X16": "10",
171
+ "y": "0"
172
+ },
173
+ {
174
+ "X1": "87",
175
+ "X2": "114",
176
+ "X3": "120",
177
+ "X4": "106",
178
+ "X5": "76",
179
+ "X6": "54",
180
+ "X7": "28",
181
+ "X8": "5",
182
+ "X9": "-19",
183
+ "X10": "-49",
184
+ "X11": "-85",
185
+ "X12": "-102",
186
+ "X13": "-100",
187
+ "X14": "-89",
188
+ "X15": "-61",
189
+ "X16": "-21",
190
+ "y": "0"
191
+ },
192
+ {
193
+ "X1": "-131",
194
+ "X2": "-133",
195
+ "X3": "-140",
196
+ "X4": "-131",
197
+ "X5": "-123",
198
+ "X6": "-108",
199
+ "X7": "-58",
200
+ "X8": "-51",
201
+ "X9": "-70",
202
+ "X10": "-77",
203
+ "X11": "-76",
204
+ "X12": "-76",
205
+ "X13": "-73",
206
+ "X14": "-57",
207
+ "X15": "-40",
208
+ "X16": "-14",
209
+ "y": "0"
210
+ },
211
+ {
212
+ "X1": "68",
213
+ "X2": "104",
214
+ "X3": "73",
215
+ "X4": "34",
216
+ "X5": "-12",
217
+ "X6": "-26",
218
+ "X7": "-38",
219
+ "X8": "-36",
220
+ "X9": "-67",
221
+ "X10": "-88",
222
+ "X11": "-25",
223
+ "X12": "31",
224
+ "X13": "18",
225
+ "X14": "-4",
226
+ "X15": "6",
227
+ "X16": "-29",
228
+ "y": "0"
229
+ },
230
+ {
231
+ "X1": "-67",
232
+ "X2": "-90",
233
+ "X3": "-97",
234
+ "X4": "-94",
235
+ "X5": "-86",
236
+ "X6": "-71",
237
+ "X7": "-43",
238
+ "X8": "-11",
239
+ "X9": "23",
240
+ "X10": "46",
241
+ "X11": "58",
242
+ "X12": "50",
243
+ "X13": "39",
244
+ "X14": "19",
245
+ "X15": "-9",
246
+ "X16": "-41",
247
+ "y": "0"
248
+ }
249
+ ]
250
+ }
251
+
252
+ Shortlisted templates:
253
+ [
254
+ {
255
+ "template_id": "tpl_grouped_percentile_point",
256
+ "template_name": "Grouped Percentile Point",
257
+ "primary_family": "tail_rarity_structure",
258
+ "portability": "yes",
259
+ "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;",
260
+ "required_roles": [
261
+ "group_col",
262
+ "measure_col"
263
+ ]
264
+ }
265
+ ]
266
+
267
+ Problem instance:
268
+ {
269
+ "dataset_id": "n6",
270
+ "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=y, measure_col=X10.",
271
+ "planned_template_id": "tpl_grouped_percentile_point",
272
+ "bindings": {
273
+ "group_col": "y",
274
+ "measure_col": "X10",
275
+ "top_k": 19,
276
+ "top_n": 5,
277
+ "num_tiles": 10,
278
+ "percentile_value": 0.95,
279
+ "z_threshold": 2.0,
280
+ "fraction_threshold": 0.05,
281
+ "baseline_multiplier": 1.75,
282
+ "baseline_fraction": 0.1,
283
+ "min_group_size": 5,
284
+ "min_support": 4,
285
+ "measure_threshold": 5.0,
286
+ "time_grain": "month",
287
+ "lookback_rows": 3,
288
+ "current_period_start": "'2024-01-01'",
289
+ "current_period_end": "'2024-04-01'",
290
+ "previous_period_start": "'2023-10-01'",
291
+ "previous_period_end": "'2024-01-01'",
292
+ "drift_ratio_threshold": 0.8
293
+ },
294
+ "can_vary": [],
295
+ "must_fix": [],
296
+ "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;"
297
+ }
298
+
299
+ Repair context:
300
+ {}
Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_016df9bec687375b/cli/sql_response_attempt_1.raw.txt ADDED
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+ {"type":"thread.started","thread_id":"019e410c-5dca-72f1-9a78-7a42cecf5f8d"}
2
+ {"type":"turn.started"}
3
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+ {"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_016df9bec687375b/cli/sql_response_attempt_1.txt ADDED
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+ {"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_016df9bec687375b/cli/sql_response_attempt_2.raw.txt ADDED
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+ {"type":"turn.started"}
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+ {"type":"error","message":"Quota exceeded. Check your plan and billing details."}
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+ {"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_016df9bec687375b/cli/sql_response_attempt_2.txt ADDED
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+ {"type":"thread.started","thread_id":"019e410c-7298-7283-817b-041443b89858"}
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+ {"type":"turn.started"}
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+ {"type":"error","message":"Quota exceeded. Check your plan and billing details."}
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+ {"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_016df9bec687375b/cli/sql_stderr_attempt_1.txt ADDED
File without changes
Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_016df9bec687375b/cli/sql_stderr_attempt_2.txt ADDED
File without changes
Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_037be27a63d1587d/cli/sql_attempt_1.metadata.json ADDED
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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 -",
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+ },
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+ "error": "AI CLI command failed with exit code 1: ",
39
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+ "stderr_path": "cli/sql_stderr_attempt_1.txt"
43
+ }
Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_037be27a63d1587d/cli/sql_attempt_2.metadata.json ADDED
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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
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+ "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_f/n6/artifacts/v2q_n6_037be27a63d1587d/cli/sql_prompt_attempt_1.txt ADDED
@@ -0,0 +1,300 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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: n6
15
+ - dataset_name: Beed: Bangalore Eeg Epilepsy Dataset
16
+ - table_name: n6
17
+ - table_layout: single-table dataset (do not assume joins).
18
+ - row_semantics: One row is one tabular observation with 16 feature columns and target `y`.
19
+ - task_type: classification
20
+ - target_column: y
21
+ - main_row_count: 8000
22
+ - important_fields:
23
+ - X1: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X1.
24
+ - X2: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X2.
25
+ - X3: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X3.
26
+ - X4: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X4.
27
+ - X5: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X5.
28
+ - X6: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X6.
29
+ - X7: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X7.
30
+ - X8: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X8.
31
+ - X9: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X9.
32
+ - X10: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X10.
33
+ - X11: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X11.
34
+ - X12: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X12.
35
+ - X13: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X13.
36
+ - X14: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X14.
37
+ - X15: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X15.
38
+ - X16: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X16.
39
+ - y: role=target, type=categorical_ordinal_target. ordered=['0', '1', '2', '3'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y.
40
+ - useful_field_combinations: [['y', 'X1', 'y'], ['X1', 'X2', 'y']]
41
+ - fields_requiring_caution: ['y', 'X1', 'X2', 'X3']
42
+ - source_url: https://archive.ics.uci.edu/dataset/1134/beed:+bangalore+eeg+epilepsy+dataset
43
+
44
+ SQLite schema snapshot:
45
+ {
46
+ "table_name": "n6",
47
+ "quoted_table_name": "\"n6\"",
48
+ "row_count": 8000,
49
+ "columns": [
50
+ {
51
+ "name": "X1",
52
+ "type": "TEXT",
53
+ "notnull": false,
54
+ "pk": false
55
+ },
56
+ {
57
+ "name": "X2",
58
+ "type": "TEXT",
59
+ "notnull": false,
60
+ "pk": false
61
+ },
62
+ {
63
+ "name": "X3",
64
+ "type": "TEXT",
65
+ "notnull": false,
66
+ "pk": false
67
+ },
68
+ {
69
+ "name": "X4",
70
+ "type": "TEXT",
71
+ "notnull": false,
72
+ "pk": false
73
+ },
74
+ {
75
+ "name": "X5",
76
+ "type": "TEXT",
77
+ "notnull": false,
78
+ "pk": false
79
+ },
80
+ {
81
+ "name": "X6",
82
+ "type": "TEXT",
83
+ "notnull": false,
84
+ "pk": false
85
+ },
86
+ {
87
+ "name": "X7",
88
+ "type": "TEXT",
89
+ "notnull": false,
90
+ "pk": false
91
+ },
92
+ {
93
+ "name": "X8",
94
+ "type": "TEXT",
95
+ "notnull": false,
96
+ "pk": false
97
+ },
98
+ {
99
+ "name": "X9",
100
+ "type": "TEXT",
101
+ "notnull": false,
102
+ "pk": false
103
+ },
104
+ {
105
+ "name": "X10",
106
+ "type": "TEXT",
107
+ "notnull": false,
108
+ "pk": false
109
+ },
110
+ {
111
+ "name": "X11",
112
+ "type": "TEXT",
113
+ "notnull": false,
114
+ "pk": false
115
+ },
116
+ {
117
+ "name": "X12",
118
+ "type": "TEXT",
119
+ "notnull": false,
120
+ "pk": false
121
+ },
122
+ {
123
+ "name": "X13",
124
+ "type": "TEXT",
125
+ "notnull": false,
126
+ "pk": false
127
+ },
128
+ {
129
+ "name": "X14",
130
+ "type": "TEXT",
131
+ "notnull": false,
132
+ "pk": false
133
+ },
134
+ {
135
+ "name": "X15",
136
+ "type": "TEXT",
137
+ "notnull": false,
138
+ "pk": false
139
+ },
140
+ {
141
+ "name": "X16",
142
+ "type": "TEXT",
143
+ "notnull": false,
144
+ "pk": false
145
+ },
146
+ {
147
+ "name": "y",
148
+ "type": "TEXT",
149
+ "notnull": false,
150
+ "pk": false
151
+ }
152
+ ],
153
+ "sample_rows": [
154
+ {
155
+ "X1": "4",
156
+ "X2": "7",
157
+ "X3": "18",
158
+ "X4": "25",
159
+ "X5": "28",
160
+ "X6": "27",
161
+ "X7": "20",
162
+ "X8": "10",
163
+ "X9": "-10",
164
+ "X10": "-18",
165
+ "X11": "-20",
166
+ "X12": "-16",
167
+ "X13": "13",
168
+ "X14": "32",
169
+ "X15": "12",
170
+ "X16": "10",
171
+ "y": "0"
172
+ },
173
+ {
174
+ "X1": "87",
175
+ "X2": "114",
176
+ "X3": "120",
177
+ "X4": "106",
178
+ "X5": "76",
179
+ "X6": "54",
180
+ "X7": "28",
181
+ "X8": "5",
182
+ "X9": "-19",
183
+ "X10": "-49",
184
+ "X11": "-85",
185
+ "X12": "-102",
186
+ "X13": "-100",
187
+ "X14": "-89",
188
+ "X15": "-61",
189
+ "X16": "-21",
190
+ "y": "0"
191
+ },
192
+ {
193
+ "X1": "-131",
194
+ "X2": "-133",
195
+ "X3": "-140",
196
+ "X4": "-131",
197
+ "X5": "-123",
198
+ "X6": "-108",
199
+ "X7": "-58",
200
+ "X8": "-51",
201
+ "X9": "-70",
202
+ "X10": "-77",
203
+ "X11": "-76",
204
+ "X12": "-76",
205
+ "X13": "-73",
206
+ "X14": "-57",
207
+ "X15": "-40",
208
+ "X16": "-14",
209
+ "y": "0"
210
+ },
211
+ {
212
+ "X1": "68",
213
+ "X2": "104",
214
+ "X3": "73",
215
+ "X4": "34",
216
+ "X5": "-12",
217
+ "X6": "-26",
218
+ "X7": "-38",
219
+ "X8": "-36",
220
+ "X9": "-67",
221
+ "X10": "-88",
222
+ "X11": "-25",
223
+ "X12": "31",
224
+ "X13": "18",
225
+ "X14": "-4",
226
+ "X15": "6",
227
+ "X16": "-29",
228
+ "y": "0"
229
+ },
230
+ {
231
+ "X1": "-67",
232
+ "X2": "-90",
233
+ "X3": "-97",
234
+ "X4": "-94",
235
+ "X5": "-86",
236
+ "X6": "-71",
237
+ "X7": "-43",
238
+ "X8": "-11",
239
+ "X9": "23",
240
+ "X10": "46",
241
+ "X11": "58",
242
+ "X12": "50",
243
+ "X13": "39",
244
+ "X14": "19",
245
+ "X15": "-9",
246
+ "X16": "-41",
247
+ "y": "0"
248
+ }
249
+ ]
250
+ }
251
+
252
+ Shortlisted templates:
253
+ [
254
+ {
255
+ "template_id": "tpl_tpch_thresholded_group_ranking",
256
+ "template_name": "Thresholded Group Ranking",
257
+ "primary_family": "tail_rarity_structure",
258
+ "portability": "partial",
259
+ "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nHAVING SUM({measure_col}) > {measure_threshold}\nORDER BY total_measure DESC\nLIMIT {top_k};",
260
+ "required_roles": [
261
+ "group_col",
262
+ "measure_col"
263
+ ]
264
+ }
265
+ ]
266
+
267
+ Problem instance:
268
+ {
269
+ "dataset_id": "n6",
270
+ "question": "Use template Thresholded Group Ranking to probe tail_set_consistency with semantic role filtered_stable_view. Focus on group_col=y, measure_col=X5.",
271
+ "planned_template_id": "tpl_tpch_thresholded_group_ranking",
272
+ "bindings": {
273
+ "group_col": "y",
274
+ "measure_col": "X5",
275
+ "top_k": 17,
276
+ "top_n": 4,
277
+ "num_tiles": 10,
278
+ "percentile_value": 0.9,
279
+ "z_threshold": 2.0,
280
+ "fraction_threshold": 0.05,
281
+ "baseline_multiplier": 1.75,
282
+ "baseline_fraction": 0.1,
283
+ "min_group_size": 5,
284
+ "min_support": 4,
285
+ "measure_threshold": 6.0,
286
+ "time_grain": "month",
287
+ "lookback_rows": 3,
288
+ "current_period_start": "'2024-01-01'",
289
+ "current_period_end": "'2024-04-01'",
290
+ "previous_period_start": "'2023-10-01'",
291
+ "previous_period_end": "'2024-01-01'",
292
+ "drift_ratio_threshold": 0.8
293
+ },
294
+ "can_vary": [],
295
+ "must_fix": [],
296
+ "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nHAVING SUM({measure_col}) > {measure_threshold}\nORDER BY total_measure DESC\nLIMIT {top_k};"
297
+ }
298
+
299
+ Repair context:
300
+ {}
Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_037be27a63d1587d/cli/sql_prompt_attempt_2.txt ADDED
@@ -0,0 +1,300 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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: n6
15
+ - dataset_name: Beed: Bangalore Eeg Epilepsy Dataset
16
+ - table_name: n6
17
+ - table_layout: single-table dataset (do not assume joins).
18
+ - row_semantics: One row is one tabular observation with 16 feature columns and target `y`.
19
+ - task_type: classification
20
+ - target_column: y
21
+ - main_row_count: 8000
22
+ - important_fields:
23
+ - X1: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X1.
24
+ - X2: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X2.
25
+ - X3: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X3.
26
+ - X4: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X4.
27
+ - X5: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X5.
28
+ - X6: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X6.
29
+ - X7: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X7.
30
+ - X8: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X8.
31
+ - X9: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X9.
32
+ - X10: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X10.
33
+ - X11: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X11.
34
+ - X12: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X12.
35
+ - X13: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X13.
36
+ - X14: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X14.
37
+ - X15: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X15.
38
+ - X16: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X16.
39
+ - y: role=target, type=categorical_ordinal_target. ordered=['0', '1', '2', '3'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y.
40
+ - useful_field_combinations: [['y', 'X1', 'y'], ['X1', 'X2', 'y']]
41
+ - fields_requiring_caution: ['y', 'X1', 'X2', 'X3']
42
+ - source_url: https://archive.ics.uci.edu/dataset/1134/beed:+bangalore+eeg+epilepsy+dataset
43
+
44
+ SQLite schema snapshot:
45
+ {
46
+ "table_name": "n6",
47
+ "quoted_table_name": "\"n6\"",
48
+ "row_count": 8000,
49
+ "columns": [
50
+ {
51
+ "name": "X1",
52
+ "type": "TEXT",
53
+ "notnull": false,
54
+ "pk": false
55
+ },
56
+ {
57
+ "name": "X2",
58
+ "type": "TEXT",
59
+ "notnull": false,
60
+ "pk": false
61
+ },
62
+ {
63
+ "name": "X3",
64
+ "type": "TEXT",
65
+ "notnull": false,
66
+ "pk": false
67
+ },
68
+ {
69
+ "name": "X4",
70
+ "type": "TEXT",
71
+ "notnull": false,
72
+ "pk": false
73
+ },
74
+ {
75
+ "name": "X5",
76
+ "type": "TEXT",
77
+ "notnull": false,
78
+ "pk": false
79
+ },
80
+ {
81
+ "name": "X6",
82
+ "type": "TEXT",
83
+ "notnull": false,
84
+ "pk": false
85
+ },
86
+ {
87
+ "name": "X7",
88
+ "type": "TEXT",
89
+ "notnull": false,
90
+ "pk": false
91
+ },
92
+ {
93
+ "name": "X8",
94
+ "type": "TEXT",
95
+ "notnull": false,
96
+ "pk": false
97
+ },
98
+ {
99
+ "name": "X9",
100
+ "type": "TEXT",
101
+ "notnull": false,
102
+ "pk": false
103
+ },
104
+ {
105
+ "name": "X10",
106
+ "type": "TEXT",
107
+ "notnull": false,
108
+ "pk": false
109
+ },
110
+ {
111
+ "name": "X11",
112
+ "type": "TEXT",
113
+ "notnull": false,
114
+ "pk": false
115
+ },
116
+ {
117
+ "name": "X12",
118
+ "type": "TEXT",
119
+ "notnull": false,
120
+ "pk": false
121
+ },
122
+ {
123
+ "name": "X13",
124
+ "type": "TEXT",
125
+ "notnull": false,
126
+ "pk": false
127
+ },
128
+ {
129
+ "name": "X14",
130
+ "type": "TEXT",
131
+ "notnull": false,
132
+ "pk": false
133
+ },
134
+ {
135
+ "name": "X15",
136
+ "type": "TEXT",
137
+ "notnull": false,
138
+ "pk": false
139
+ },
140
+ {
141
+ "name": "X16",
142
+ "type": "TEXT",
143
+ "notnull": false,
144
+ "pk": false
145
+ },
146
+ {
147
+ "name": "y",
148
+ "type": "TEXT",
149
+ "notnull": false,
150
+ "pk": false
151
+ }
152
+ ],
153
+ "sample_rows": [
154
+ {
155
+ "X1": "4",
156
+ "X2": "7",
157
+ "X3": "18",
158
+ "X4": "25",
159
+ "X5": "28",
160
+ "X6": "27",
161
+ "X7": "20",
162
+ "X8": "10",
163
+ "X9": "-10",
164
+ "X10": "-18",
165
+ "X11": "-20",
166
+ "X12": "-16",
167
+ "X13": "13",
168
+ "X14": "32",
169
+ "X15": "12",
170
+ "X16": "10",
171
+ "y": "0"
172
+ },
173
+ {
174
+ "X1": "87",
175
+ "X2": "114",
176
+ "X3": "120",
177
+ "X4": "106",
178
+ "X5": "76",
179
+ "X6": "54",
180
+ "X7": "28",
181
+ "X8": "5",
182
+ "X9": "-19",
183
+ "X10": "-49",
184
+ "X11": "-85",
185
+ "X12": "-102",
186
+ "X13": "-100",
187
+ "X14": "-89",
188
+ "X15": "-61",
189
+ "X16": "-21",
190
+ "y": "0"
191
+ },
192
+ {
193
+ "X1": "-131",
194
+ "X2": "-133",
195
+ "X3": "-140",
196
+ "X4": "-131",
197
+ "X5": "-123",
198
+ "X6": "-108",
199
+ "X7": "-58",
200
+ "X8": "-51",
201
+ "X9": "-70",
202
+ "X10": "-77",
203
+ "X11": "-76",
204
+ "X12": "-76",
205
+ "X13": "-73",
206
+ "X14": "-57",
207
+ "X15": "-40",
208
+ "X16": "-14",
209
+ "y": "0"
210
+ },
211
+ {
212
+ "X1": "68",
213
+ "X2": "104",
214
+ "X3": "73",
215
+ "X4": "34",
216
+ "X5": "-12",
217
+ "X6": "-26",
218
+ "X7": "-38",
219
+ "X8": "-36",
220
+ "X9": "-67",
221
+ "X10": "-88",
222
+ "X11": "-25",
223
+ "X12": "31",
224
+ "X13": "18",
225
+ "X14": "-4",
226
+ "X15": "6",
227
+ "X16": "-29",
228
+ "y": "0"
229
+ },
230
+ {
231
+ "X1": "-67",
232
+ "X2": "-90",
233
+ "X3": "-97",
234
+ "X4": "-94",
235
+ "X5": "-86",
236
+ "X6": "-71",
237
+ "X7": "-43",
238
+ "X8": "-11",
239
+ "X9": "23",
240
+ "X10": "46",
241
+ "X11": "58",
242
+ "X12": "50",
243
+ "X13": "39",
244
+ "X14": "19",
245
+ "X15": "-9",
246
+ "X16": "-41",
247
+ "y": "0"
248
+ }
249
+ ]
250
+ }
251
+
252
+ Shortlisted templates:
253
+ [
254
+ {
255
+ "template_id": "tpl_tpch_thresholded_group_ranking",
256
+ "template_name": "Thresholded Group Ranking",
257
+ "primary_family": "tail_rarity_structure",
258
+ "portability": "partial",
259
+ "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nHAVING SUM({measure_col}) > {measure_threshold}\nORDER BY total_measure DESC\nLIMIT {top_k};",
260
+ "required_roles": [
261
+ "group_col",
262
+ "measure_col"
263
+ ]
264
+ }
265
+ ]
266
+
267
+ Problem instance:
268
+ {
269
+ "dataset_id": "n6",
270
+ "question": "Use template Thresholded Group Ranking to probe tail_set_consistency with semantic role filtered_stable_view. Focus on group_col=y, measure_col=X5.",
271
+ "planned_template_id": "tpl_tpch_thresholded_group_ranking",
272
+ "bindings": {
273
+ "group_col": "y",
274
+ "measure_col": "X5",
275
+ "top_k": 17,
276
+ "top_n": 4,
277
+ "num_tiles": 10,
278
+ "percentile_value": 0.9,
279
+ "z_threshold": 2.0,
280
+ "fraction_threshold": 0.05,
281
+ "baseline_multiplier": 1.75,
282
+ "baseline_fraction": 0.1,
283
+ "min_group_size": 5,
284
+ "min_support": 4,
285
+ "measure_threshold": 6.0,
286
+ "time_grain": "month",
287
+ "lookback_rows": 3,
288
+ "current_period_start": "'2024-01-01'",
289
+ "current_period_end": "'2024-04-01'",
290
+ "previous_period_start": "'2023-10-01'",
291
+ "previous_period_end": "'2024-01-01'",
292
+ "drift_ratio_threshold": 0.8
293
+ },
294
+ "can_vary": [],
295
+ "must_fix": [],
296
+ "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nHAVING SUM({measure_col}) > {measure_threshold}\nORDER BY total_measure DESC\nLIMIT {top_k};"
297
+ }
298
+
299
+ Repair context:
300
+ {}
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+ {"type":"turn.started"}
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+ {"type":"turn.started"}
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+ {"type":"error","message":"Quota exceeded. Check your plan and billing details."}
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+ {"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
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+ {
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+ "attempt": 1,
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+ "phase": "sql_generation",
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+ "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
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+ },
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+ "status": "failed",
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+ "error": "AI CLI command failed with exit code 1: ",
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+ "prompt_path": "cli/sql_prompt_attempt_1.txt",
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+ "response_path": "cli/sql_response_attempt_1.txt",
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+ "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
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+ "stderr_path": "cli/sql_stderr_attempt_1.txt"
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+ }
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+ {
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+ "attempt": 2,
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+ "phase": "sql_generation",
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+ "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
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+ },
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+ "usage": {}
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+ },
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+ "status": "failed",
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+ "error": "AI CLI command failed with exit code 1: ",
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+ "prompt_path": "cli/sql_prompt_attempt_2.txt",
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+ "response_path": "cli/sql_response_attempt_2.txt",
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+ "raw_response_path": "cli/sql_response_attempt_2.raw.txt",
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+ "stderr_path": "cli/sql_stderr_attempt_2.txt"
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Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_043d104aa126e1ac/cli/sql_prompt_attempt_1.txt ADDED
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1
+ You are generating one SQLite SELECT query for a single-table SQL QA task.
2
+ Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
3
+ Rules:
4
+ - Use only the provided table and columns.
5
+ - Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
6
+ - Prefer the planned template and bound roles when provided.
7
+ - Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
8
+ - Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
9
+ - Quote identifiers with double quotes.
10
+ - Return no markdown and no extra prose.
11
+
12
+ Dataset context:
13
+ Dataset context for SQL QA:
14
+ - dataset_id: n6
15
+ - dataset_name: Beed: Bangalore Eeg Epilepsy Dataset
16
+ - table_name: n6
17
+ - table_layout: single-table dataset (do not assume joins).
18
+ - row_semantics: One row is one tabular observation with 16 feature columns and target `y`.
19
+ - task_type: classification
20
+ - target_column: y
21
+ - main_row_count: 8000
22
+ - important_fields:
23
+ - X1: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X1.
24
+ - X2: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X2.
25
+ - X3: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X3.
26
+ - X4: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X4.
27
+ - X5: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X5.
28
+ - X6: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X6.
29
+ - X7: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X7.
30
+ - X8: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X8.
31
+ - X9: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X9.
32
+ - X10: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X10.
33
+ - X11: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X11.
34
+ - X12: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X12.
35
+ - X13: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X13.
36
+ - X14: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X14.
37
+ - X15: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X15.
38
+ - X16: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X16.
39
+ - y: role=target, type=categorical_ordinal_target. ordered=['0', '1', '2', '3'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y.
40
+ - useful_field_combinations: [['y', 'X1', 'y'], ['X1', 'X2', 'y']]
41
+ - fields_requiring_caution: ['y', 'X1', 'X2', 'X3']
42
+ - source_url: https://archive.ics.uci.edu/dataset/1134/beed:+bangalore+eeg+epilepsy+dataset
43
+
44
+ SQLite schema snapshot:
45
+ {
46
+ "table_name": "n6",
47
+ "quoted_table_name": "\"n6\"",
48
+ "row_count": 8000,
49
+ "columns": [
50
+ {
51
+ "name": "X1",
52
+ "type": "TEXT",
53
+ "notnull": false,
54
+ "pk": false
55
+ },
56
+ {
57
+ "name": "X2",
58
+ "type": "TEXT",
59
+ "notnull": false,
60
+ "pk": false
61
+ },
62
+ {
63
+ "name": "X3",
64
+ "type": "TEXT",
65
+ "notnull": false,
66
+ "pk": false
67
+ },
68
+ {
69
+ "name": "X4",
70
+ "type": "TEXT",
71
+ "notnull": false,
72
+ "pk": false
73
+ },
74
+ {
75
+ "name": "X5",
76
+ "type": "TEXT",
77
+ "notnull": false,
78
+ "pk": false
79
+ },
80
+ {
81
+ "name": "X6",
82
+ "type": "TEXT",
83
+ "notnull": false,
84
+ "pk": false
85
+ },
86
+ {
87
+ "name": "X7",
88
+ "type": "TEXT",
89
+ "notnull": false,
90
+ "pk": false
91
+ },
92
+ {
93
+ "name": "X8",
94
+ "type": "TEXT",
95
+ "notnull": false,
96
+ "pk": false
97
+ },
98
+ {
99
+ "name": "X9",
100
+ "type": "TEXT",
101
+ "notnull": false,
102
+ "pk": false
103
+ },
104
+ {
105
+ "name": "X10",
106
+ "type": "TEXT",
107
+ "notnull": false,
108
+ "pk": false
109
+ },
110
+ {
111
+ "name": "X11",
112
+ "type": "TEXT",
113
+ "notnull": false,
114
+ "pk": false
115
+ },
116
+ {
117
+ "name": "X12",
118
+ "type": "TEXT",
119
+ "notnull": false,
120
+ "pk": false
121
+ },
122
+ {
123
+ "name": "X13",
124
+ "type": "TEXT",
125
+ "notnull": false,
126
+ "pk": false
127
+ },
128
+ {
129
+ "name": "X14",
130
+ "type": "TEXT",
131
+ "notnull": false,
132
+ "pk": false
133
+ },
134
+ {
135
+ "name": "X15",
136
+ "type": "TEXT",
137
+ "notnull": false,
138
+ "pk": false
139
+ },
140
+ {
141
+ "name": "X16",
142
+ "type": "TEXT",
143
+ "notnull": false,
144
+ "pk": false
145
+ },
146
+ {
147
+ "name": "y",
148
+ "type": "TEXT",
149
+ "notnull": false,
150
+ "pk": false
151
+ }
152
+ ],
153
+ "sample_rows": [
154
+ {
155
+ "X1": "4",
156
+ "X2": "7",
157
+ "X3": "18",
158
+ "X4": "25",
159
+ "X5": "28",
160
+ "X6": "27",
161
+ "X7": "20",
162
+ "X8": "10",
163
+ "X9": "-10",
164
+ "X10": "-18",
165
+ "X11": "-20",
166
+ "X12": "-16",
167
+ "X13": "13",
168
+ "X14": "32",
169
+ "X15": "12",
170
+ "X16": "10",
171
+ "y": "0"
172
+ },
173
+ {
174
+ "X1": "87",
175
+ "X2": "114",
176
+ "X3": "120",
177
+ "X4": "106",
178
+ "X5": "76",
179
+ "X6": "54",
180
+ "X7": "28",
181
+ "X8": "5",
182
+ "X9": "-19",
183
+ "X10": "-49",
184
+ "X11": "-85",
185
+ "X12": "-102",
186
+ "X13": "-100",
187
+ "X14": "-89",
188
+ "X15": "-61",
189
+ "X16": "-21",
190
+ "y": "0"
191
+ },
192
+ {
193
+ "X1": "-131",
194
+ "X2": "-133",
195
+ "X3": "-140",
196
+ "X4": "-131",
197
+ "X5": "-123",
198
+ "X6": "-108",
199
+ "X7": "-58",
200
+ "X8": "-51",
201
+ "X9": "-70",
202
+ "X10": "-77",
203
+ "X11": "-76",
204
+ "X12": "-76",
205
+ "X13": "-73",
206
+ "X14": "-57",
207
+ "X15": "-40",
208
+ "X16": "-14",
209
+ "y": "0"
210
+ },
211
+ {
212
+ "X1": "68",
213
+ "X2": "104",
214
+ "X3": "73",
215
+ "X4": "34",
216
+ "X5": "-12",
217
+ "X6": "-26",
218
+ "X7": "-38",
219
+ "X8": "-36",
220
+ "X9": "-67",
221
+ "X10": "-88",
222
+ "X11": "-25",
223
+ "X12": "31",
224
+ "X13": "18",
225
+ "X14": "-4",
226
+ "X15": "6",
227
+ "X16": "-29",
228
+ "y": "0"
229
+ },
230
+ {
231
+ "X1": "-67",
232
+ "X2": "-90",
233
+ "X3": "-97",
234
+ "X4": "-94",
235
+ "X5": "-86",
236
+ "X6": "-71",
237
+ "X7": "-43",
238
+ "X8": "-11",
239
+ "X9": "23",
240
+ "X10": "46",
241
+ "X11": "58",
242
+ "X12": "50",
243
+ "X13": "39",
244
+ "X14": "19",
245
+ "X15": "-9",
246
+ "X16": "-41",
247
+ "y": "0"
248
+ }
249
+ ]
250
+ }
251
+
252
+ Shortlisted templates:
253
+ [
254
+ {
255
+ "template_id": "tpl_tpcds_within_group_share",
256
+ "template_name": "Within-Group Share of Total",
257
+ "primary_family": "conditional_dependency_structure",
258
+ "portability": "partial",
259
+ "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;",
260
+ "required_roles": [
261
+ "group_col",
262
+ "item_col",
263
+ "measure_col"
264
+ ]
265
+ }
266
+ ]
267
+
268
+ Problem instance:
269
+ {
270
+ "dataset_id": "n6",
271
+ "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=y, measure_col=X2.",
272
+ "planned_template_id": "tpl_tpcds_within_group_share",
273
+ "bindings": {
274
+ "group_col": "y",
275
+ "measure_col": "X2",
276
+ "item_col": "X3",
277
+ "top_k": 18,
278
+ "top_n": 5,
279
+ "num_tiles": 10,
280
+ "percentile_value": 0.95,
281
+ "z_threshold": 2.0,
282
+ "fraction_threshold": 0.05,
283
+ "baseline_multiplier": 1.75,
284
+ "baseline_fraction": 0.1,
285
+ "min_group_size": 5,
286
+ "min_support": 4,
287
+ "measure_threshold": 5.0,
288
+ "time_grain": "month",
289
+ "lookback_rows": 3,
290
+ "current_period_start": "'2024-01-01'",
291
+ "current_period_end": "'2024-04-01'",
292
+ "previous_period_start": "'2023-10-01'",
293
+ "previous_period_end": "'2024-01-01'",
294
+ "drift_ratio_threshold": 0.8
295
+ },
296
+ "can_vary": [],
297
+ "must_fix": [],
298
+ "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;"
299
+ }
300
+
301
+ Repair context:
302
+ {}
Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_043d104aa126e1ac/cli/sql_prompt_attempt_2.txt ADDED
@@ -0,0 +1,302 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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: n6
15
+ - dataset_name: Beed: Bangalore Eeg Epilepsy Dataset
16
+ - table_name: n6
17
+ - table_layout: single-table dataset (do not assume joins).
18
+ - row_semantics: One row is one tabular observation with 16 feature columns and target `y`.
19
+ - task_type: classification
20
+ - target_column: y
21
+ - main_row_count: 8000
22
+ - important_fields:
23
+ - X1: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X1.
24
+ - X2: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X2.
25
+ - X3: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X3.
26
+ - X4: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X4.
27
+ - X5: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X5.
28
+ - X6: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X6.
29
+ - X7: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X7.
30
+ - X8: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X8.
31
+ - X9: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X9.
32
+ - X10: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X10.
33
+ - X11: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X11.
34
+ - X12: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X12.
35
+ - X13: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X13.
36
+ - X14: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X14.
37
+ - X15: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X15.
38
+ - X16: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for X16.
39
+ - y: role=target, type=categorical_ordinal_target. ordered=['0', '1', '2', '3'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y.
40
+ - useful_field_combinations: [['y', 'X1', 'y'], ['X1', 'X2', 'y']]
41
+ - fields_requiring_caution: ['y', 'X1', 'X2', 'X3']
42
+ - source_url: https://archive.ics.uci.edu/dataset/1134/beed:+bangalore+eeg+epilepsy+dataset
43
+
44
+ SQLite schema snapshot:
45
+ {
46
+ "table_name": "n6",
47
+ "quoted_table_name": "\"n6\"",
48
+ "row_count": 8000,
49
+ "columns": [
50
+ {
51
+ "name": "X1",
52
+ "type": "TEXT",
53
+ "notnull": false,
54
+ "pk": false
55
+ },
56
+ {
57
+ "name": "X2",
58
+ "type": "TEXT",
59
+ "notnull": false,
60
+ "pk": false
61
+ },
62
+ {
63
+ "name": "X3",
64
+ "type": "TEXT",
65
+ "notnull": false,
66
+ "pk": false
67
+ },
68
+ {
69
+ "name": "X4",
70
+ "type": "TEXT",
71
+ "notnull": false,
72
+ "pk": false
73
+ },
74
+ {
75
+ "name": "X5",
76
+ "type": "TEXT",
77
+ "notnull": false,
78
+ "pk": false
79
+ },
80
+ {
81
+ "name": "X6",
82
+ "type": "TEXT",
83
+ "notnull": false,
84
+ "pk": false
85
+ },
86
+ {
87
+ "name": "X7",
88
+ "type": "TEXT",
89
+ "notnull": false,
90
+ "pk": false
91
+ },
92
+ {
93
+ "name": "X8",
94
+ "type": "TEXT",
95
+ "notnull": false,
96
+ "pk": false
97
+ },
98
+ {
99
+ "name": "X9",
100
+ "type": "TEXT",
101
+ "notnull": false,
102
+ "pk": false
103
+ },
104
+ {
105
+ "name": "X10",
106
+ "type": "TEXT",
107
+ "notnull": false,
108
+ "pk": false
109
+ },
110
+ {
111
+ "name": "X11",
112
+ "type": "TEXT",
113
+ "notnull": false,
114
+ "pk": false
115
+ },
116
+ {
117
+ "name": "X12",
118
+ "type": "TEXT",
119
+ "notnull": false,
120
+ "pk": false
121
+ },
122
+ {
123
+ "name": "X13",
124
+ "type": "TEXT",
125
+ "notnull": false,
126
+ "pk": false
127
+ },
128
+ {
129
+ "name": "X14",
130
+ "type": "TEXT",
131
+ "notnull": false,
132
+ "pk": false
133
+ },
134
+ {
135
+ "name": "X15",
136
+ "type": "TEXT",
137
+ "notnull": false,
138
+ "pk": false
139
+ },
140
+ {
141
+ "name": "X16",
142
+ "type": "TEXT",
143
+ "notnull": false,
144
+ "pk": false
145
+ },
146
+ {
147
+ "name": "y",
148
+ "type": "TEXT",
149
+ "notnull": false,
150
+ "pk": false
151
+ }
152
+ ],
153
+ "sample_rows": [
154
+ {
155
+ "X1": "4",
156
+ "X2": "7",
157
+ "X3": "18",
158
+ "X4": "25",
159
+ "X5": "28",
160
+ "X6": "27",
161
+ "X7": "20",
162
+ "X8": "10",
163
+ "X9": "-10",
164
+ "X10": "-18",
165
+ "X11": "-20",
166
+ "X12": "-16",
167
+ "X13": "13",
168
+ "X14": "32",
169
+ "X15": "12",
170
+ "X16": "10",
171
+ "y": "0"
172
+ },
173
+ {
174
+ "X1": "87",
175
+ "X2": "114",
176
+ "X3": "120",
177
+ "X4": "106",
178
+ "X5": "76",
179
+ "X6": "54",
180
+ "X7": "28",
181
+ "X8": "5",
182
+ "X9": "-19",
183
+ "X10": "-49",
184
+ "X11": "-85",
185
+ "X12": "-102",
186
+ "X13": "-100",
187
+ "X14": "-89",
188
+ "X15": "-61",
189
+ "X16": "-21",
190
+ "y": "0"
191
+ },
192
+ {
193
+ "X1": "-131",
194
+ "X2": "-133",
195
+ "X3": "-140",
196
+ "X4": "-131",
197
+ "X5": "-123",
198
+ "X6": "-108",
199
+ "X7": "-58",
200
+ "X8": "-51",
201
+ "X9": "-70",
202
+ "X10": "-77",
203
+ "X11": "-76",
204
+ "X12": "-76",
205
+ "X13": "-73",
206
+ "X14": "-57",
207
+ "X15": "-40",
208
+ "X16": "-14",
209
+ "y": "0"
210
+ },
211
+ {
212
+ "X1": "68",
213
+ "X2": "104",
214
+ "X3": "73",
215
+ "X4": "34",
216
+ "X5": "-12",
217
+ "X6": "-26",
218
+ "X7": "-38",
219
+ "X8": "-36",
220
+ "X9": "-67",
221
+ "X10": "-88",
222
+ "X11": "-25",
223
+ "X12": "31",
224
+ "X13": "18",
225
+ "X14": "-4",
226
+ "X15": "6",
227
+ "X16": "-29",
228
+ "y": "0"
229
+ },
230
+ {
231
+ "X1": "-67",
232
+ "X2": "-90",
233
+ "X3": "-97",
234
+ "X4": "-94",
235
+ "X5": "-86",
236
+ "X6": "-71",
237
+ "X7": "-43",
238
+ "X8": "-11",
239
+ "X9": "23",
240
+ "X10": "46",
241
+ "X11": "58",
242
+ "X12": "50",
243
+ "X13": "39",
244
+ "X14": "19",
245
+ "X15": "-9",
246
+ "X16": "-41",
247
+ "y": "0"
248
+ }
249
+ ]
250
+ }
251
+
252
+ Shortlisted templates:
253
+ [
254
+ {
255
+ "template_id": "tpl_tpcds_within_group_share",
256
+ "template_name": "Within-Group Share of Total",
257
+ "primary_family": "conditional_dependency_structure",
258
+ "portability": "partial",
259
+ "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;",
260
+ "required_roles": [
261
+ "group_col",
262
+ "item_col",
263
+ "measure_col"
264
+ ]
265
+ }
266
+ ]
267
+
268
+ Problem instance:
269
+ {
270
+ "dataset_id": "n6",
271
+ "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=y, measure_col=X2.",
272
+ "planned_template_id": "tpl_tpcds_within_group_share",
273
+ "bindings": {
274
+ "group_col": "y",
275
+ "measure_col": "X2",
276
+ "item_col": "X3",
277
+ "top_k": 18,
278
+ "top_n": 5,
279
+ "num_tiles": 10,
280
+ "percentile_value": 0.95,
281
+ "z_threshold": 2.0,
282
+ "fraction_threshold": 0.05,
283
+ "baseline_multiplier": 1.75,
284
+ "baseline_fraction": 0.1,
285
+ "min_group_size": 5,
286
+ "min_support": 4,
287
+ "measure_threshold": 5.0,
288
+ "time_grain": "month",
289
+ "lookback_rows": 3,
290
+ "current_period_start": "'2024-01-01'",
291
+ "current_period_end": "'2024-04-01'",
292
+ "previous_period_start": "'2023-10-01'",
293
+ "previous_period_end": "'2024-01-01'",
294
+ "drift_ratio_threshold": 0.8
295
+ },
296
+ "can_vary": [],
297
+ "must_fix": [],
298
+ "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;"
299
+ }
300
+
301
+ Repair context:
302
+ {}
Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_043d104aa126e1ac/cli/sql_response_attempt_1.raw.txt ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
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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_f/n6/artifacts/v2q_n6_043d104aa126e1ac/cli/sql_response_attempt_1.txt ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {"type":"thread.started","thread_id":"019e4103-cbc1-7c91-9b67-2bd2606f8187"}
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_f/n6/artifacts/v2q_n6_043d104aa126e1ac/cli/sql_response_attempt_2.raw.txt ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {"type":"thread.started","thread_id":"019e4103-de1d-7913-8df2-b487e16d3429"}
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_f/n6/artifacts/v2q_n6_043d104aa126e1ac/cli/sql_response_attempt_2.txt ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {"type":"thread.started","thread_id":"019e4103-de1d-7913-8df2-b487e16d3429"}
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_f/n6/artifacts/v2q_n6_043d104aa126e1ac/cli/sql_stderr_attempt_1.txt ADDED
File without changes
Query/sql/v2/runs/v2_cli_20260502_081223_f/n6/artifacts/v2q_n6_043d104aa126e1ac/cli/sql_stderr_attempt_2.txt ADDED
File without changes