Add files using upload-large-folder tool
Browse files- Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b3c867ac08573299/cli/conversation.jsonl +2 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b3c867ac08573299/cli/session_summary.json +25 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b3c867ac08573299/cli/sql_attempt_1.metadata.json +45 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b3c867ac08573299/cli/sql_prompt_attempt_1.txt +310 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b3c867ac08573299/cli/sql_response_attempt_1.raw.txt +4 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b3c867ac08573299/cli/sql_response_attempt_1.txt +1 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b3c867ac08573299/cli/sql_stderr_attempt_1.txt +0 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d7e9174e0688fb8a/cli/sql_attempt_1.metadata.json +43 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d7e9174e0688fb8a/cli/sql_attempt_2.metadata.json +43 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d7e9174e0688fb8a/cli/sql_prompt_attempt_2.txt +310 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d7e9174e0688fb8a/cli/sql_response_attempt_1.txt +4 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d7e9174e0688fb8a/cli/sql_response_attempt_2.txt +4 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d7e9174e0688fb8a/cli/sql_stderr_attempt_1.txt +0 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d7e9174e0688fb8a/cli/sql_stderr_attempt_2.txt +0 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_df97c67c8cbb5094/cli/sql_attempt_1.metadata.json +43 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_df97c67c8cbb5094/cli/sql_prompt_attempt_1.txt +312 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_df97c67c8cbb5094/cli/sql_prompt_attempt_2.txt +312 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_df97c67c8cbb5094/cli/sql_response_attempt_1.raw.txt +4 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_df97c67c8cbb5094/cli/sql_response_attempt_2.raw.txt +4 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_df97c67c8cbb5094/cli/sql_stderr_attempt_1.txt +0 -0
Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b3c867ac08573299/cli/conversation.jsonl
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{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10564, "bytes_utf8": 10564, "lines": 310, "estimated_tokens": null}}
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| 2 |
+
{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 560, "bytes_utf8": 560, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14988, "cached_input_tokens": 12032, "output_tokens": 519, "reasoning_output_tokens": 364}}
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Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b3c867ac08573299/cli/session_summary.json
ADDED
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@@ -0,0 +1,25 @@
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{
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"engine": "v2-cli:codex",
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| 3 |
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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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| 4 |
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"ai_cli_calls": 1,
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| 5 |
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"usage_summary": {
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| 6 |
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"dataset_id": "m6",
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| 7 |
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"model": "v2-cli:codex",
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| 8 |
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"run_id": "v2q_m6_b3c867ac08573299",
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| 9 |
+
"api_calls": 0,
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| 10 |
+
"input_tokens": 14988,
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| 11 |
+
"cached_input_tokens": 12032,
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| 12 |
+
"output_tokens": 519,
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| 13 |
+
"total_tokens": 15507,
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| 14 |
+
"cost_usd": 0.0,
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| 15 |
+
"ai_cli_calls": 1,
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| 16 |
+
"estimated_input_tokens": 0,
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| 17 |
+
"estimated_output_tokens": 0,
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| 18 |
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"estimated_total_tokens": 0,
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| 19 |
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"usage_source": "ai_cli_json_usage",
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| 20 |
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"cli_elapsed_ms_total": 11759.4,
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| 21 |
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"sql_execution_elapsed_ms_total": 29.85,
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| 22 |
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"conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b3c867ac08573299/cli/conversation.jsonl",
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| 23 |
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"note": "Executed through a local AI CLI with structured usage metadata."
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| 24 |
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}
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| 25 |
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}
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Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b3c867ac08573299/cli/sql_attempt_1.metadata.json
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@@ -0,0 +1,45 @@
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{
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"attempt": 1,
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| 3 |
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"phase": "sql_generation",
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| 4 |
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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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| 5 |
+
"started_at": "2026-05-19T15:44:22.625324+00:00",
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| 6 |
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"ended_at": "2026-05-19T15:44:34.384751+00:00",
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| 7 |
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"elapsed_ms": 11759.4,
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| 8 |
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"prompt_metrics": {
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| 9 |
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"chars": 10564,
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| 10 |
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"bytes_utf8": 10564,
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"lines": 310,
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| 12 |
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"estimated_tokens": null
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},
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| 14 |
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"stdout_metrics": {
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| 15 |
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"chars": 945,
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| 16 |
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"bytes_utf8": 945,
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"lines": 4,
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| 18 |
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"estimated_tokens": null
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},
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"stderr_metrics": {
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"chars": 0,
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| 22 |
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"bytes_utf8": 0,
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"lines": 0,
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"estimated_tokens": null
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},
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"parsed_output": {
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"format": "jsonl_events",
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"text_metrics": {
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| 29 |
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"chars": 560,
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| 30 |
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"bytes_utf8": 560,
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| 31 |
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"lines": 1,
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"estimated_tokens": null
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},
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| 34 |
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"usage": {
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| 35 |
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"input_tokens": 14988,
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| 36 |
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"cached_input_tokens": 12032,
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| 37 |
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"output_tokens": 519,
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| 38 |
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"reasoning_output_tokens": 364
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| 39 |
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}
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| 40 |
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},
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| 41 |
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"prompt_path": "cli/sql_prompt_attempt_1.txt",
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| 42 |
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"response_path": "cli/sql_response_attempt_1.txt",
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| 43 |
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"raw_response_path": "cli/sql_response_attempt_1.raw.txt",
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| 44 |
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"stderr_path": "cli/sql_stderr_attempt_1.txt"
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| 45 |
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}
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Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b3c867ac08573299/cli/sql_prompt_attempt_1.txt
ADDED
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@@ -0,0 +1,310 @@
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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 |
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- dataset_id: m6
|
| 15 |
+
- dataset_name: Online Shoppers Purchasing Intention Dataset
|
| 16 |
+
- table_name: m6
|
| 17 |
+
- table_layout: single-table dataset (do not assume joins).
|
| 18 |
+
- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`.
|
| 19 |
+
- task_type: classification
|
| 20 |
+
- target_column: VisitorType
|
| 21 |
+
- main_row_count: 12330
|
| 22 |
+
- important_fields:
|
| 23 |
+
- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative.
|
| 24 |
+
- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration.
|
| 25 |
+
- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational.
|
| 26 |
+
- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration.
|
| 27 |
+
- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated.
|
| 28 |
+
- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration.
|
| 29 |
+
- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates.
|
| 30 |
+
- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates.
|
| 31 |
+
- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues.
|
| 32 |
+
- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay.
|
| 33 |
+
- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month.
|
| 34 |
+
- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems.
|
| 35 |
+
- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser.
|
| 36 |
+
- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region.
|
| 37 |
+
- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType.
|
| 38 |
+
- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType.
|
| 39 |
+
- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend.
|
| 40 |
+
- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue.
|
| 41 |
+
- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']]
|
| 42 |
+
- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated']
|
| 43 |
+
- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset
|
| 44 |
+
|
| 45 |
+
SQLite schema snapshot:
|
| 46 |
+
{
|
| 47 |
+
"table_name": "m6",
|
| 48 |
+
"quoted_table_name": "\"m6\"",
|
| 49 |
+
"row_count": 12330,
|
| 50 |
+
"columns": [
|
| 51 |
+
{
|
| 52 |
+
"name": "Administrative",
|
| 53 |
+
"type": "TEXT",
|
| 54 |
+
"notnull": false,
|
| 55 |
+
"pk": false
|
| 56 |
+
},
|
| 57 |
+
{
|
| 58 |
+
"name": "Administrative_Duration",
|
| 59 |
+
"type": "TEXT",
|
| 60 |
+
"notnull": false,
|
| 61 |
+
"pk": false
|
| 62 |
+
},
|
| 63 |
+
{
|
| 64 |
+
"name": "Informational",
|
| 65 |
+
"type": "TEXT",
|
| 66 |
+
"notnull": false,
|
| 67 |
+
"pk": false
|
| 68 |
+
},
|
| 69 |
+
{
|
| 70 |
+
"name": "Informational_Duration",
|
| 71 |
+
"type": "TEXT",
|
| 72 |
+
"notnull": false,
|
| 73 |
+
"pk": false
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"name": "ProductRelated",
|
| 77 |
+
"type": "TEXT",
|
| 78 |
+
"notnull": false,
|
| 79 |
+
"pk": false
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"name": "ProductRelated_Duration",
|
| 83 |
+
"type": "TEXT",
|
| 84 |
+
"notnull": false,
|
| 85 |
+
"pk": false
|
| 86 |
+
},
|
| 87 |
+
{
|
| 88 |
+
"name": "BounceRates",
|
| 89 |
+
"type": "TEXT",
|
| 90 |
+
"notnull": false,
|
| 91 |
+
"pk": false
|
| 92 |
+
},
|
| 93 |
+
{
|
| 94 |
+
"name": "ExitRates",
|
| 95 |
+
"type": "TEXT",
|
| 96 |
+
"notnull": false,
|
| 97 |
+
"pk": false
|
| 98 |
+
},
|
| 99 |
+
{
|
| 100 |
+
"name": "PageValues",
|
| 101 |
+
"type": "TEXT",
|
| 102 |
+
"notnull": false,
|
| 103 |
+
"pk": false
|
| 104 |
+
},
|
| 105 |
+
{
|
| 106 |
+
"name": "SpecialDay",
|
| 107 |
+
"type": "TEXT",
|
| 108 |
+
"notnull": false,
|
| 109 |
+
"pk": false
|
| 110 |
+
},
|
| 111 |
+
{
|
| 112 |
+
"name": "Month",
|
| 113 |
+
"type": "TEXT",
|
| 114 |
+
"notnull": false,
|
| 115 |
+
"pk": false
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"name": "OperatingSystems",
|
| 119 |
+
"type": "TEXT",
|
| 120 |
+
"notnull": false,
|
| 121 |
+
"pk": false
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"name": "Browser",
|
| 125 |
+
"type": "TEXT",
|
| 126 |
+
"notnull": false,
|
| 127 |
+
"pk": false
|
| 128 |
+
},
|
| 129 |
+
{
|
| 130 |
+
"name": "Region",
|
| 131 |
+
"type": "TEXT",
|
| 132 |
+
"notnull": false,
|
| 133 |
+
"pk": false
|
| 134 |
+
},
|
| 135 |
+
{
|
| 136 |
+
"name": "TrafficType",
|
| 137 |
+
"type": "TEXT",
|
| 138 |
+
"notnull": false,
|
| 139 |
+
"pk": false
|
| 140 |
+
},
|
| 141 |
+
{
|
| 142 |
+
"name": "VisitorType",
|
| 143 |
+
"type": "TEXT",
|
| 144 |
+
"notnull": false,
|
| 145 |
+
"pk": false
|
| 146 |
+
},
|
| 147 |
+
{
|
| 148 |
+
"name": "Weekend",
|
| 149 |
+
"type": "TEXT",
|
| 150 |
+
"notnull": false,
|
| 151 |
+
"pk": false
|
| 152 |
+
},
|
| 153 |
+
{
|
| 154 |
+
"name": "Revenue",
|
| 155 |
+
"type": "TEXT",
|
| 156 |
+
"notnull": false,
|
| 157 |
+
"pk": false
|
| 158 |
+
}
|
| 159 |
+
],
|
| 160 |
+
"sample_rows": [
|
| 161 |
+
{
|
| 162 |
+
"Administrative": "0",
|
| 163 |
+
"Administrative_Duration": "0",
|
| 164 |
+
"Informational": "0",
|
| 165 |
+
"Informational_Duration": "0",
|
| 166 |
+
"ProductRelated": "1",
|
| 167 |
+
"ProductRelated_Duration": "0",
|
| 168 |
+
"BounceRates": "0.2",
|
| 169 |
+
"ExitRates": "0.2",
|
| 170 |
+
"PageValues": "0",
|
| 171 |
+
"SpecialDay": "0",
|
| 172 |
+
"Month": "Feb",
|
| 173 |
+
"OperatingSystems": "1",
|
| 174 |
+
"Browser": "1",
|
| 175 |
+
"Region": "1",
|
| 176 |
+
"TrafficType": "1",
|
| 177 |
+
"VisitorType": "Returning_Visitor",
|
| 178 |
+
"Weekend": "FALSE",
|
| 179 |
+
"Revenue": "FALSE"
|
| 180 |
+
},
|
| 181 |
+
{
|
| 182 |
+
"Administrative": "0",
|
| 183 |
+
"Administrative_Duration": "0",
|
| 184 |
+
"Informational": "0",
|
| 185 |
+
"Informational_Duration": "0",
|
| 186 |
+
"ProductRelated": "2",
|
| 187 |
+
"ProductRelated_Duration": "64",
|
| 188 |
+
"BounceRates": "0",
|
| 189 |
+
"ExitRates": "0.1",
|
| 190 |
+
"PageValues": "0",
|
| 191 |
+
"SpecialDay": "0",
|
| 192 |
+
"Month": "Feb",
|
| 193 |
+
"OperatingSystems": "2",
|
| 194 |
+
"Browser": "2",
|
| 195 |
+
"Region": "1",
|
| 196 |
+
"TrafficType": "2",
|
| 197 |
+
"VisitorType": "Returning_Visitor",
|
| 198 |
+
"Weekend": "FALSE",
|
| 199 |
+
"Revenue": "FALSE"
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"Administrative": "0",
|
| 203 |
+
"Administrative_Duration": "0",
|
| 204 |
+
"Informational": "0",
|
| 205 |
+
"Informational_Duration": "0",
|
| 206 |
+
"ProductRelated": "1",
|
| 207 |
+
"ProductRelated_Duration": "0",
|
| 208 |
+
"BounceRates": "0.2",
|
| 209 |
+
"ExitRates": "0.2",
|
| 210 |
+
"PageValues": "0",
|
| 211 |
+
"SpecialDay": "0",
|
| 212 |
+
"Month": "Feb",
|
| 213 |
+
"OperatingSystems": "4",
|
| 214 |
+
"Browser": "1",
|
| 215 |
+
"Region": "9",
|
| 216 |
+
"TrafficType": "3",
|
| 217 |
+
"VisitorType": "Returning_Visitor",
|
| 218 |
+
"Weekend": "FALSE",
|
| 219 |
+
"Revenue": "FALSE"
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"Administrative": "0",
|
| 223 |
+
"Administrative_Duration": "0",
|
| 224 |
+
"Informational": "0",
|
| 225 |
+
"Informational_Duration": "0",
|
| 226 |
+
"ProductRelated": "2",
|
| 227 |
+
"ProductRelated_Duration": "2.666666667",
|
| 228 |
+
"BounceRates": "0.05",
|
| 229 |
+
"ExitRates": "0.14",
|
| 230 |
+
"PageValues": "0",
|
| 231 |
+
"SpecialDay": "0",
|
| 232 |
+
"Month": "Feb",
|
| 233 |
+
"OperatingSystems": "3",
|
| 234 |
+
"Browser": "2",
|
| 235 |
+
"Region": "2",
|
| 236 |
+
"TrafficType": "4",
|
| 237 |
+
"VisitorType": "Returning_Visitor",
|
| 238 |
+
"Weekend": "FALSE",
|
| 239 |
+
"Revenue": "FALSE"
|
| 240 |
+
},
|
| 241 |
+
{
|
| 242 |
+
"Administrative": "0",
|
| 243 |
+
"Administrative_Duration": "0",
|
| 244 |
+
"Informational": "0",
|
| 245 |
+
"Informational_Duration": "0",
|
| 246 |
+
"ProductRelated": "10",
|
| 247 |
+
"ProductRelated_Duration": "627.5",
|
| 248 |
+
"BounceRates": "0.02",
|
| 249 |
+
"ExitRates": "0.05",
|
| 250 |
+
"PageValues": "0",
|
| 251 |
+
"SpecialDay": "0",
|
| 252 |
+
"Month": "Feb",
|
| 253 |
+
"OperatingSystems": "3",
|
| 254 |
+
"Browser": "3",
|
| 255 |
+
"Region": "1",
|
| 256 |
+
"TrafficType": "4",
|
| 257 |
+
"VisitorType": "Returning_Visitor",
|
| 258 |
+
"Weekend": "TRUE",
|
| 259 |
+
"Revenue": "FALSE"
|
| 260 |
+
}
|
| 261 |
+
]
|
| 262 |
+
}
|
| 263 |
+
|
| 264 |
+
Shortlisted templates:
|
| 265 |
+
[
|
| 266 |
+
{
|
| 267 |
+
"template_id": "tpl_m4_quantile_tail_slice",
|
| 268 |
+
"template_name": "Quantile Tail Slice",
|
| 269 |
+
"primary_family": "tail_rarity_structure",
|
| 270 |
+
"portability": "partial",
|
| 271 |
+
"sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;",
|
| 272 |
+
"required_roles": [
|
| 273 |
+
"measure_col"
|
| 274 |
+
]
|
| 275 |
+
}
|
| 276 |
+
]
|
| 277 |
+
|
| 278 |
+
Problem instance:
|
| 279 |
+
{
|
| 280 |
+
"dataset_id": "m6",
|
| 281 |
+
"question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=Region.",
|
| 282 |
+
"planned_template_id": "tpl_m4_quantile_tail_slice",
|
| 283 |
+
"bindings": {
|
| 284 |
+
"measure_col": "Region",
|
| 285 |
+
"top_k": 13,
|
| 286 |
+
"top_n": 3,
|
| 287 |
+
"num_tiles": 10,
|
| 288 |
+
"percentile_value": 0.95,
|
| 289 |
+
"z_threshold": 2.0,
|
| 290 |
+
"fraction_threshold": 0.1,
|
| 291 |
+
"baseline_multiplier": 1.5,
|
| 292 |
+
"baseline_fraction": 0.1,
|
| 293 |
+
"min_group_size": 5,
|
| 294 |
+
"min_support": 5,
|
| 295 |
+
"measure_threshold": 4.0,
|
| 296 |
+
"time_grain": "month",
|
| 297 |
+
"lookback_rows": 3,
|
| 298 |
+
"current_period_start": "'2024-01-01'",
|
| 299 |
+
"current_period_end": "'2024-04-01'",
|
| 300 |
+
"previous_period_start": "'2023-10-01'",
|
| 301 |
+
"previous_period_end": "'2024-01-01'",
|
| 302 |
+
"drift_ratio_threshold": 0.8
|
| 303 |
+
},
|
| 304 |
+
"can_vary": [],
|
| 305 |
+
"must_fix": [],
|
| 306 |
+
"runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;"
|
| 307 |
+
}
|
| 308 |
+
|
| 309 |
+
Repair context:
|
| 310 |
+
{}
|
Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b3c867ac08573299/cli/sql_response_attempt_1.raw.txt
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"type":"thread.started","thread_id":"019e40e8-db61-7533-9de4-3f899b7176d9"}
|
| 2 |
+
{"type":"turn.started"}
|
| 3 |
+
{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH \\\"buckets\\\" AS (\\n SELECT\\n \\\"Region\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"Region\\\" AS INTEGER) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"m6\\\"\\n WHERE \\\"Region\\\" IS NOT NULL\\n)\\nSELECT \\\"Region\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY CAST(\\\"Region\\\" AS INTEGER) DESC;\",\"notes\":\"Used the requested Quantile Tail Slice template with measure_col bound to \\\"Region\\\" and num_tiles=10. Cast \\\"Region\\\" to INTEGER for tail ordering because the SQLite schema stores it as TEXT.\"}"}}
|
| 4 |
+
{"type":"turn.completed","usage":{"input_tokens":14988,"cached_input_tokens":12032,"output_tokens":519,"reasoning_output_tokens":364}}
|
Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b3c867ac08573299/cli/sql_response_attempt_1.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH \"buckets\" AS (\n SELECT\n \"Region\",\n NTILE(10) OVER (ORDER BY CAST(\"Region\" AS INTEGER) DESC) AS \"tail_bucket\"\n FROM \"m6\"\n WHERE \"Region\" IS NOT NULL\n)\nSELECT \"Region\"\nFROM \"buckets\"\nWHERE \"tail_bucket\" = 1\nORDER BY CAST(\"Region\" AS INTEGER) DESC;","notes":"Used the requested Quantile Tail Slice template with measure_col bound to \"Region\" and num_tiles=10. Cast \"Region\" to INTEGER for tail ordering because the SQLite schema stores it as TEXT."}
|
Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b3c867ac08573299/cli/sql_stderr_attempt_1.txt
ADDED
|
File without changes
|
Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d7e9174e0688fb8a/cli/sql_attempt_1.metadata.json
ADDED
|
@@ -0,0 +1,43 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"attempt": 1,
|
| 3 |
+
"phase": "sql_generation",
|
| 4 |
+
"command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
|
| 5 |
+
"started_at": "2026-05-19T16:06:11.383642+00:00",
|
| 6 |
+
"ended_at": "2026-05-19T16:06:14.593861+00:00",
|
| 7 |
+
"elapsed_ms": 3210.2,
|
| 8 |
+
"returncode": 1,
|
| 9 |
+
"prompt_metrics": {
|
| 10 |
+
"chars": 10384,
|
| 11 |
+
"bytes_utf8": 10384,
|
| 12 |
+
"lines": 310,
|
| 13 |
+
"estimated_tokens": null
|
| 14 |
+
},
|
| 15 |
+
"stdout_metrics": {
|
| 16 |
+
"chars": 281,
|
| 17 |
+
"bytes_utf8": 281,
|
| 18 |
+
"lines": 4,
|
| 19 |
+
"estimated_tokens": null
|
| 20 |
+
},
|
| 21 |
+
"stderr_metrics": {
|
| 22 |
+
"chars": 0,
|
| 23 |
+
"bytes_utf8": 0,
|
| 24 |
+
"lines": 0,
|
| 25 |
+
"estimated_tokens": null
|
| 26 |
+
},
|
| 27 |
+
"parsed_output": {
|
| 28 |
+
"format": "jsonl_events",
|
| 29 |
+
"text_metrics": {
|
| 30 |
+
"chars": 280,
|
| 31 |
+
"bytes_utf8": 280,
|
| 32 |
+
"lines": 4,
|
| 33 |
+
"estimated_tokens": null
|
| 34 |
+
},
|
| 35 |
+
"usage": {}
|
| 36 |
+
},
|
| 37 |
+
"status": "failed",
|
| 38 |
+
"error": "AI CLI command failed with exit code 1: ",
|
| 39 |
+
"prompt_path": "cli/sql_prompt_attempt_1.txt",
|
| 40 |
+
"response_path": "cli/sql_response_attempt_1.txt",
|
| 41 |
+
"raw_response_path": "cli/sql_response_attempt_1.raw.txt",
|
| 42 |
+
"stderr_path": "cli/sql_stderr_attempt_1.txt"
|
| 43 |
+
}
|
Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d7e9174e0688fb8a/cli/sql_attempt_2.metadata.json
ADDED
|
@@ -0,0 +1,43 @@
|
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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 |
+
"started_at": "2026-05-19T16:06:15.596239+00:00",
|
| 6 |
+
"ended_at": "2026-05-19T16:06:18.783712+00:00",
|
| 7 |
+
"elapsed_ms": 3187.43,
|
| 8 |
+
"returncode": 1,
|
| 9 |
+
"prompt_metrics": {
|
| 10 |
+
"chars": 10384,
|
| 11 |
+
"bytes_utf8": 10384,
|
| 12 |
+
"lines": 310,
|
| 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_b/m6/artifacts/v2q_m6_d7e9174e0688fb8a/cli/sql_prompt_attempt_2.txt
ADDED
|
@@ -0,0 +1,310 @@
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
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|
|
|
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|
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|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
You are generating one SQLite SELECT query for a single-table SQL QA task.
|
| 2 |
+
Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
|
| 3 |
+
Rules:
|
| 4 |
+
- Use only the provided table and columns.
|
| 5 |
+
- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
|
| 6 |
+
- Prefer the planned template and bound roles when provided.
|
| 7 |
+
- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
|
| 8 |
+
- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
|
| 9 |
+
- Quote identifiers with double quotes.
|
| 10 |
+
- Return no markdown and no extra prose.
|
| 11 |
+
|
| 12 |
+
Dataset context:
|
| 13 |
+
Dataset context for SQL QA:
|
| 14 |
+
- dataset_id: m6
|
| 15 |
+
- dataset_name: Online Shoppers Purchasing Intention Dataset
|
| 16 |
+
- table_name: m6
|
| 17 |
+
- table_layout: single-table dataset (do not assume joins).
|
| 18 |
+
- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`.
|
| 19 |
+
- task_type: classification
|
| 20 |
+
- target_column: VisitorType
|
| 21 |
+
- main_row_count: 12330
|
| 22 |
+
- important_fields:
|
| 23 |
+
- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative.
|
| 24 |
+
- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration.
|
| 25 |
+
- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational.
|
| 26 |
+
- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration.
|
| 27 |
+
- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated.
|
| 28 |
+
- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration.
|
| 29 |
+
- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates.
|
| 30 |
+
- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates.
|
| 31 |
+
- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues.
|
| 32 |
+
- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay.
|
| 33 |
+
- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month.
|
| 34 |
+
- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems.
|
| 35 |
+
- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser.
|
| 36 |
+
- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region.
|
| 37 |
+
- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType.
|
| 38 |
+
- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType.
|
| 39 |
+
- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend.
|
| 40 |
+
- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue.
|
| 41 |
+
- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']]
|
| 42 |
+
- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated']
|
| 43 |
+
- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset
|
| 44 |
+
|
| 45 |
+
SQLite schema snapshot:
|
| 46 |
+
{
|
| 47 |
+
"table_name": "m6",
|
| 48 |
+
"quoted_table_name": "\"m6\"",
|
| 49 |
+
"row_count": 12330,
|
| 50 |
+
"columns": [
|
| 51 |
+
{
|
| 52 |
+
"name": "Administrative",
|
| 53 |
+
"type": "TEXT",
|
| 54 |
+
"notnull": false,
|
| 55 |
+
"pk": false
|
| 56 |
+
},
|
| 57 |
+
{
|
| 58 |
+
"name": "Administrative_Duration",
|
| 59 |
+
"type": "TEXT",
|
| 60 |
+
"notnull": false,
|
| 61 |
+
"pk": false
|
| 62 |
+
},
|
| 63 |
+
{
|
| 64 |
+
"name": "Informational",
|
| 65 |
+
"type": "TEXT",
|
| 66 |
+
"notnull": false,
|
| 67 |
+
"pk": false
|
| 68 |
+
},
|
| 69 |
+
{
|
| 70 |
+
"name": "Informational_Duration",
|
| 71 |
+
"type": "TEXT",
|
| 72 |
+
"notnull": false,
|
| 73 |
+
"pk": false
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"name": "ProductRelated",
|
| 77 |
+
"type": "TEXT",
|
| 78 |
+
"notnull": false,
|
| 79 |
+
"pk": false
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"name": "ProductRelated_Duration",
|
| 83 |
+
"type": "TEXT",
|
| 84 |
+
"notnull": false,
|
| 85 |
+
"pk": false
|
| 86 |
+
},
|
| 87 |
+
{
|
| 88 |
+
"name": "BounceRates",
|
| 89 |
+
"type": "TEXT",
|
| 90 |
+
"notnull": false,
|
| 91 |
+
"pk": false
|
| 92 |
+
},
|
| 93 |
+
{
|
| 94 |
+
"name": "ExitRates",
|
| 95 |
+
"type": "TEXT",
|
| 96 |
+
"notnull": false,
|
| 97 |
+
"pk": false
|
| 98 |
+
},
|
| 99 |
+
{
|
| 100 |
+
"name": "PageValues",
|
| 101 |
+
"type": "TEXT",
|
| 102 |
+
"notnull": false,
|
| 103 |
+
"pk": false
|
| 104 |
+
},
|
| 105 |
+
{
|
| 106 |
+
"name": "SpecialDay",
|
| 107 |
+
"type": "TEXT",
|
| 108 |
+
"notnull": false,
|
| 109 |
+
"pk": false
|
| 110 |
+
},
|
| 111 |
+
{
|
| 112 |
+
"name": "Month",
|
| 113 |
+
"type": "TEXT",
|
| 114 |
+
"notnull": false,
|
| 115 |
+
"pk": false
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"name": "OperatingSystems",
|
| 119 |
+
"type": "TEXT",
|
| 120 |
+
"notnull": false,
|
| 121 |
+
"pk": false
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"name": "Browser",
|
| 125 |
+
"type": "TEXT",
|
| 126 |
+
"notnull": false,
|
| 127 |
+
"pk": false
|
| 128 |
+
},
|
| 129 |
+
{
|
| 130 |
+
"name": "Region",
|
| 131 |
+
"type": "TEXT",
|
| 132 |
+
"notnull": false,
|
| 133 |
+
"pk": false
|
| 134 |
+
},
|
| 135 |
+
{
|
| 136 |
+
"name": "TrafficType",
|
| 137 |
+
"type": "TEXT",
|
| 138 |
+
"notnull": false,
|
| 139 |
+
"pk": false
|
| 140 |
+
},
|
| 141 |
+
{
|
| 142 |
+
"name": "VisitorType",
|
| 143 |
+
"type": "TEXT",
|
| 144 |
+
"notnull": false,
|
| 145 |
+
"pk": false
|
| 146 |
+
},
|
| 147 |
+
{
|
| 148 |
+
"name": "Weekend",
|
| 149 |
+
"type": "TEXT",
|
| 150 |
+
"notnull": false,
|
| 151 |
+
"pk": false
|
| 152 |
+
},
|
| 153 |
+
{
|
| 154 |
+
"name": "Revenue",
|
| 155 |
+
"type": "TEXT",
|
| 156 |
+
"notnull": false,
|
| 157 |
+
"pk": false
|
| 158 |
+
}
|
| 159 |
+
],
|
| 160 |
+
"sample_rows": [
|
| 161 |
+
{
|
| 162 |
+
"Administrative": "0",
|
| 163 |
+
"Administrative_Duration": "0",
|
| 164 |
+
"Informational": "0",
|
| 165 |
+
"Informational_Duration": "0",
|
| 166 |
+
"ProductRelated": "1",
|
| 167 |
+
"ProductRelated_Duration": "0",
|
| 168 |
+
"BounceRates": "0.2",
|
| 169 |
+
"ExitRates": "0.2",
|
| 170 |
+
"PageValues": "0",
|
| 171 |
+
"SpecialDay": "0",
|
| 172 |
+
"Month": "Feb",
|
| 173 |
+
"OperatingSystems": "1",
|
| 174 |
+
"Browser": "1",
|
| 175 |
+
"Region": "1",
|
| 176 |
+
"TrafficType": "1",
|
| 177 |
+
"VisitorType": "Returning_Visitor",
|
| 178 |
+
"Weekend": "FALSE",
|
| 179 |
+
"Revenue": "FALSE"
|
| 180 |
+
},
|
| 181 |
+
{
|
| 182 |
+
"Administrative": "0",
|
| 183 |
+
"Administrative_Duration": "0",
|
| 184 |
+
"Informational": "0",
|
| 185 |
+
"Informational_Duration": "0",
|
| 186 |
+
"ProductRelated": "2",
|
| 187 |
+
"ProductRelated_Duration": "64",
|
| 188 |
+
"BounceRates": "0",
|
| 189 |
+
"ExitRates": "0.1",
|
| 190 |
+
"PageValues": "0",
|
| 191 |
+
"SpecialDay": "0",
|
| 192 |
+
"Month": "Feb",
|
| 193 |
+
"OperatingSystems": "2",
|
| 194 |
+
"Browser": "2",
|
| 195 |
+
"Region": "1",
|
| 196 |
+
"TrafficType": "2",
|
| 197 |
+
"VisitorType": "Returning_Visitor",
|
| 198 |
+
"Weekend": "FALSE",
|
| 199 |
+
"Revenue": "FALSE"
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"Administrative": "0",
|
| 203 |
+
"Administrative_Duration": "0",
|
| 204 |
+
"Informational": "0",
|
| 205 |
+
"Informational_Duration": "0",
|
| 206 |
+
"ProductRelated": "1",
|
| 207 |
+
"ProductRelated_Duration": "0",
|
| 208 |
+
"BounceRates": "0.2",
|
| 209 |
+
"ExitRates": "0.2",
|
| 210 |
+
"PageValues": "0",
|
| 211 |
+
"SpecialDay": "0",
|
| 212 |
+
"Month": "Feb",
|
| 213 |
+
"OperatingSystems": "4",
|
| 214 |
+
"Browser": "1",
|
| 215 |
+
"Region": "9",
|
| 216 |
+
"TrafficType": "3",
|
| 217 |
+
"VisitorType": "Returning_Visitor",
|
| 218 |
+
"Weekend": "FALSE",
|
| 219 |
+
"Revenue": "FALSE"
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"Administrative": "0",
|
| 223 |
+
"Administrative_Duration": "0",
|
| 224 |
+
"Informational": "0",
|
| 225 |
+
"Informational_Duration": "0",
|
| 226 |
+
"ProductRelated": "2",
|
| 227 |
+
"ProductRelated_Duration": "2.666666667",
|
| 228 |
+
"BounceRates": "0.05",
|
| 229 |
+
"ExitRates": "0.14",
|
| 230 |
+
"PageValues": "0",
|
| 231 |
+
"SpecialDay": "0",
|
| 232 |
+
"Month": "Feb",
|
| 233 |
+
"OperatingSystems": "3",
|
| 234 |
+
"Browser": "2",
|
| 235 |
+
"Region": "2",
|
| 236 |
+
"TrafficType": "4",
|
| 237 |
+
"VisitorType": "Returning_Visitor",
|
| 238 |
+
"Weekend": "FALSE",
|
| 239 |
+
"Revenue": "FALSE"
|
| 240 |
+
},
|
| 241 |
+
{
|
| 242 |
+
"Administrative": "0",
|
| 243 |
+
"Administrative_Duration": "0",
|
| 244 |
+
"Informational": "0",
|
| 245 |
+
"Informational_Duration": "0",
|
| 246 |
+
"ProductRelated": "10",
|
| 247 |
+
"ProductRelated_Duration": "627.5",
|
| 248 |
+
"BounceRates": "0.02",
|
| 249 |
+
"ExitRates": "0.05",
|
| 250 |
+
"PageValues": "0",
|
| 251 |
+
"SpecialDay": "0",
|
| 252 |
+
"Month": "Feb",
|
| 253 |
+
"OperatingSystems": "3",
|
| 254 |
+
"Browser": "3",
|
| 255 |
+
"Region": "1",
|
| 256 |
+
"TrafficType": "4",
|
| 257 |
+
"VisitorType": "Returning_Visitor",
|
| 258 |
+
"Weekend": "TRUE",
|
| 259 |
+
"Revenue": "FALSE"
|
| 260 |
+
}
|
| 261 |
+
]
|
| 262 |
+
}
|
| 263 |
+
|
| 264 |
+
Shortlisted templates:
|
| 265 |
+
[
|
| 266 |
+
{
|
| 267 |
+
"template_id": "tpl_tail_low_support_group_count_v2",
|
| 268 |
+
"template_name": "Low-Support Group Count",
|
| 269 |
+
"primary_family": "tail_rarity_structure",
|
| 270 |
+
"portability": "yes",
|
| 271 |
+
"sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};",
|
| 272 |
+
"required_roles": [
|
| 273 |
+
"group_col"
|
| 274 |
+
]
|
| 275 |
+
}
|
| 276 |
+
]
|
| 277 |
+
|
| 278 |
+
Problem instance:
|
| 279 |
+
{
|
| 280 |
+
"dataset_id": "m6",
|
| 281 |
+
"question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=Browser.",
|
| 282 |
+
"planned_template_id": "tpl_tail_low_support_group_count_v2",
|
| 283 |
+
"bindings": {
|
| 284 |
+
"group_col": "Browser",
|
| 285 |
+
"top_k": 11,
|
| 286 |
+
"top_n": 5,
|
| 287 |
+
"num_tiles": 10,
|
| 288 |
+
"percentile_value": 0.95,
|
| 289 |
+
"z_threshold": 2.0,
|
| 290 |
+
"fraction_threshold": 0.1,
|
| 291 |
+
"baseline_multiplier": 1.5,
|
| 292 |
+
"baseline_fraction": 0.1,
|
| 293 |
+
"min_group_size": 5,
|
| 294 |
+
"min_support": 5,
|
| 295 |
+
"measure_threshold": 4.0,
|
| 296 |
+
"time_grain": "month",
|
| 297 |
+
"lookback_rows": 3,
|
| 298 |
+
"current_period_start": "'2024-01-01'",
|
| 299 |
+
"current_period_end": "'2024-04-01'",
|
| 300 |
+
"previous_period_start": "'2023-10-01'",
|
| 301 |
+
"previous_period_end": "'2024-01-01'",
|
| 302 |
+
"drift_ratio_threshold": 0.8
|
| 303 |
+
},
|
| 304 |
+
"can_vary": [],
|
| 305 |
+
"must_fix": [],
|
| 306 |
+
"runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};"
|
| 307 |
+
}
|
| 308 |
+
|
| 309 |
+
Repair context:
|
| 310 |
+
{}
|
Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d7e9174e0688fb8a/cli/sql_response_attempt_1.txt
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"type":"thread.started","thread_id":"019e40fc-d3ba-7b00-ae45-cddd3d013478"}
|
| 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_b/m6/artifacts/v2q_m6_d7e9174e0688fb8a/cli/sql_response_attempt_2.txt
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"type":"thread.started","thread_id":"019e40fc-e42a-75b2-bb6b-0c2d81dd7674"}
|
| 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_b/m6/artifacts/v2q_m6_d7e9174e0688fb8a/cli/sql_stderr_attempt_1.txt
ADDED
|
File without changes
|
Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d7e9174e0688fb8a/cli/sql_stderr_attempt_2.txt
ADDED
|
File without changes
|
Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_df97c67c8cbb5094/cli/sql_attempt_1.metadata.json
ADDED
|
@@ -0,0 +1,43 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"attempt": 1,
|
| 3 |
+
"phase": "sql_generation",
|
| 4 |
+
"command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
|
| 5 |
+
"started_at": "2026-05-19T16:08:39.172944+00:00",
|
| 6 |
+
"ended_at": "2026-05-19T16:08:42.458621+00:00",
|
| 7 |
+
"elapsed_ms": 3285.65,
|
| 8 |
+
"returncode": 1,
|
| 9 |
+
"prompt_metrics": {
|
| 10 |
+
"chars": 10474,
|
| 11 |
+
"bytes_utf8": 10474,
|
| 12 |
+
"lines": 312,
|
| 13 |
+
"estimated_tokens": null
|
| 14 |
+
},
|
| 15 |
+
"stdout_metrics": {
|
| 16 |
+
"chars": 281,
|
| 17 |
+
"bytes_utf8": 281,
|
| 18 |
+
"lines": 4,
|
| 19 |
+
"estimated_tokens": null
|
| 20 |
+
},
|
| 21 |
+
"stderr_metrics": {
|
| 22 |
+
"chars": 0,
|
| 23 |
+
"bytes_utf8": 0,
|
| 24 |
+
"lines": 0,
|
| 25 |
+
"estimated_tokens": null
|
| 26 |
+
},
|
| 27 |
+
"parsed_output": {
|
| 28 |
+
"format": "jsonl_events",
|
| 29 |
+
"text_metrics": {
|
| 30 |
+
"chars": 280,
|
| 31 |
+
"bytes_utf8": 280,
|
| 32 |
+
"lines": 4,
|
| 33 |
+
"estimated_tokens": null
|
| 34 |
+
},
|
| 35 |
+
"usage": {}
|
| 36 |
+
},
|
| 37 |
+
"status": "failed",
|
| 38 |
+
"error": "AI CLI command failed with exit code 1: ",
|
| 39 |
+
"prompt_path": "cli/sql_prompt_attempt_1.txt",
|
| 40 |
+
"response_path": "cli/sql_response_attempt_1.txt",
|
| 41 |
+
"raw_response_path": "cli/sql_response_attempt_1.raw.txt",
|
| 42 |
+
"stderr_path": "cli/sql_stderr_attempt_1.txt"
|
| 43 |
+
}
|
Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_df97c67c8cbb5094/cli/sql_prompt_attempt_1.txt
ADDED
|
@@ -0,0 +1,312 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
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|
|
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|
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|
|
|
|
|
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|
|
|
|
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|
|
|
|
|
|
|
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|
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|
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|
|
|
|
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|
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|
|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
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|
|
|
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|
|
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|
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|
|
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|
|
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|
|
|
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|
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|
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|
|
|
|
|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
You are generating one SQLite SELECT query for a single-table SQL QA task.
|
| 2 |
+
Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
|
| 3 |
+
Rules:
|
| 4 |
+
- Use only the provided table and columns.
|
| 5 |
+
- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
|
| 6 |
+
- Prefer the planned template and bound roles when provided.
|
| 7 |
+
- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
|
| 8 |
+
- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
|
| 9 |
+
- Quote identifiers with double quotes.
|
| 10 |
+
- Return no markdown and no extra prose.
|
| 11 |
+
|
| 12 |
+
Dataset context:
|
| 13 |
+
Dataset context for SQL QA:
|
| 14 |
+
- dataset_id: m6
|
| 15 |
+
- dataset_name: Online Shoppers Purchasing Intention Dataset
|
| 16 |
+
- table_name: m6
|
| 17 |
+
- table_layout: single-table dataset (do not assume joins).
|
| 18 |
+
- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`.
|
| 19 |
+
- task_type: classification
|
| 20 |
+
- target_column: VisitorType
|
| 21 |
+
- main_row_count: 12330
|
| 22 |
+
- important_fields:
|
| 23 |
+
- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative.
|
| 24 |
+
- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration.
|
| 25 |
+
- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational.
|
| 26 |
+
- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration.
|
| 27 |
+
- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated.
|
| 28 |
+
- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration.
|
| 29 |
+
- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates.
|
| 30 |
+
- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates.
|
| 31 |
+
- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues.
|
| 32 |
+
- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay.
|
| 33 |
+
- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month.
|
| 34 |
+
- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems.
|
| 35 |
+
- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser.
|
| 36 |
+
- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region.
|
| 37 |
+
- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType.
|
| 38 |
+
- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType.
|
| 39 |
+
- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend.
|
| 40 |
+
- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue.
|
| 41 |
+
- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']]
|
| 42 |
+
- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated']
|
| 43 |
+
- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset
|
| 44 |
+
|
| 45 |
+
SQLite schema snapshot:
|
| 46 |
+
{
|
| 47 |
+
"table_name": "m6",
|
| 48 |
+
"quoted_table_name": "\"m6\"",
|
| 49 |
+
"row_count": 12330,
|
| 50 |
+
"columns": [
|
| 51 |
+
{
|
| 52 |
+
"name": "Administrative",
|
| 53 |
+
"type": "TEXT",
|
| 54 |
+
"notnull": false,
|
| 55 |
+
"pk": false
|
| 56 |
+
},
|
| 57 |
+
{
|
| 58 |
+
"name": "Administrative_Duration",
|
| 59 |
+
"type": "TEXT",
|
| 60 |
+
"notnull": false,
|
| 61 |
+
"pk": false
|
| 62 |
+
},
|
| 63 |
+
{
|
| 64 |
+
"name": "Informational",
|
| 65 |
+
"type": "TEXT",
|
| 66 |
+
"notnull": false,
|
| 67 |
+
"pk": false
|
| 68 |
+
},
|
| 69 |
+
{
|
| 70 |
+
"name": "Informational_Duration",
|
| 71 |
+
"type": "TEXT",
|
| 72 |
+
"notnull": false,
|
| 73 |
+
"pk": false
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"name": "ProductRelated",
|
| 77 |
+
"type": "TEXT",
|
| 78 |
+
"notnull": false,
|
| 79 |
+
"pk": false
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"name": "ProductRelated_Duration",
|
| 83 |
+
"type": "TEXT",
|
| 84 |
+
"notnull": false,
|
| 85 |
+
"pk": false
|
| 86 |
+
},
|
| 87 |
+
{
|
| 88 |
+
"name": "BounceRates",
|
| 89 |
+
"type": "TEXT",
|
| 90 |
+
"notnull": false,
|
| 91 |
+
"pk": false
|
| 92 |
+
},
|
| 93 |
+
{
|
| 94 |
+
"name": "ExitRates",
|
| 95 |
+
"type": "TEXT",
|
| 96 |
+
"notnull": false,
|
| 97 |
+
"pk": false
|
| 98 |
+
},
|
| 99 |
+
{
|
| 100 |
+
"name": "PageValues",
|
| 101 |
+
"type": "TEXT",
|
| 102 |
+
"notnull": false,
|
| 103 |
+
"pk": false
|
| 104 |
+
},
|
| 105 |
+
{
|
| 106 |
+
"name": "SpecialDay",
|
| 107 |
+
"type": "TEXT",
|
| 108 |
+
"notnull": false,
|
| 109 |
+
"pk": false
|
| 110 |
+
},
|
| 111 |
+
{
|
| 112 |
+
"name": "Month",
|
| 113 |
+
"type": "TEXT",
|
| 114 |
+
"notnull": false,
|
| 115 |
+
"pk": false
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"name": "OperatingSystems",
|
| 119 |
+
"type": "TEXT",
|
| 120 |
+
"notnull": false,
|
| 121 |
+
"pk": false
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"name": "Browser",
|
| 125 |
+
"type": "TEXT",
|
| 126 |
+
"notnull": false,
|
| 127 |
+
"pk": false
|
| 128 |
+
},
|
| 129 |
+
{
|
| 130 |
+
"name": "Region",
|
| 131 |
+
"type": "TEXT",
|
| 132 |
+
"notnull": false,
|
| 133 |
+
"pk": false
|
| 134 |
+
},
|
| 135 |
+
{
|
| 136 |
+
"name": "TrafficType",
|
| 137 |
+
"type": "TEXT",
|
| 138 |
+
"notnull": false,
|
| 139 |
+
"pk": false
|
| 140 |
+
},
|
| 141 |
+
{
|
| 142 |
+
"name": "VisitorType",
|
| 143 |
+
"type": "TEXT",
|
| 144 |
+
"notnull": false,
|
| 145 |
+
"pk": false
|
| 146 |
+
},
|
| 147 |
+
{
|
| 148 |
+
"name": "Weekend",
|
| 149 |
+
"type": "TEXT",
|
| 150 |
+
"notnull": false,
|
| 151 |
+
"pk": false
|
| 152 |
+
},
|
| 153 |
+
{
|
| 154 |
+
"name": "Revenue",
|
| 155 |
+
"type": "TEXT",
|
| 156 |
+
"notnull": false,
|
| 157 |
+
"pk": false
|
| 158 |
+
}
|
| 159 |
+
],
|
| 160 |
+
"sample_rows": [
|
| 161 |
+
{
|
| 162 |
+
"Administrative": "0",
|
| 163 |
+
"Administrative_Duration": "0",
|
| 164 |
+
"Informational": "0",
|
| 165 |
+
"Informational_Duration": "0",
|
| 166 |
+
"ProductRelated": "1",
|
| 167 |
+
"ProductRelated_Duration": "0",
|
| 168 |
+
"BounceRates": "0.2",
|
| 169 |
+
"ExitRates": "0.2",
|
| 170 |
+
"PageValues": "0",
|
| 171 |
+
"SpecialDay": "0",
|
| 172 |
+
"Month": "Feb",
|
| 173 |
+
"OperatingSystems": "1",
|
| 174 |
+
"Browser": "1",
|
| 175 |
+
"Region": "1",
|
| 176 |
+
"TrafficType": "1",
|
| 177 |
+
"VisitorType": "Returning_Visitor",
|
| 178 |
+
"Weekend": "FALSE",
|
| 179 |
+
"Revenue": "FALSE"
|
| 180 |
+
},
|
| 181 |
+
{
|
| 182 |
+
"Administrative": "0",
|
| 183 |
+
"Administrative_Duration": "0",
|
| 184 |
+
"Informational": "0",
|
| 185 |
+
"Informational_Duration": "0",
|
| 186 |
+
"ProductRelated": "2",
|
| 187 |
+
"ProductRelated_Duration": "64",
|
| 188 |
+
"BounceRates": "0",
|
| 189 |
+
"ExitRates": "0.1",
|
| 190 |
+
"PageValues": "0",
|
| 191 |
+
"SpecialDay": "0",
|
| 192 |
+
"Month": "Feb",
|
| 193 |
+
"OperatingSystems": "2",
|
| 194 |
+
"Browser": "2",
|
| 195 |
+
"Region": "1",
|
| 196 |
+
"TrafficType": "2",
|
| 197 |
+
"VisitorType": "Returning_Visitor",
|
| 198 |
+
"Weekend": "FALSE",
|
| 199 |
+
"Revenue": "FALSE"
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"Administrative": "0",
|
| 203 |
+
"Administrative_Duration": "0",
|
| 204 |
+
"Informational": "0",
|
| 205 |
+
"Informational_Duration": "0",
|
| 206 |
+
"ProductRelated": "1",
|
| 207 |
+
"ProductRelated_Duration": "0",
|
| 208 |
+
"BounceRates": "0.2",
|
| 209 |
+
"ExitRates": "0.2",
|
| 210 |
+
"PageValues": "0",
|
| 211 |
+
"SpecialDay": "0",
|
| 212 |
+
"Month": "Feb",
|
| 213 |
+
"OperatingSystems": "4",
|
| 214 |
+
"Browser": "1",
|
| 215 |
+
"Region": "9",
|
| 216 |
+
"TrafficType": "3",
|
| 217 |
+
"VisitorType": "Returning_Visitor",
|
| 218 |
+
"Weekend": "FALSE",
|
| 219 |
+
"Revenue": "FALSE"
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"Administrative": "0",
|
| 223 |
+
"Administrative_Duration": "0",
|
| 224 |
+
"Informational": "0",
|
| 225 |
+
"Informational_Duration": "0",
|
| 226 |
+
"ProductRelated": "2",
|
| 227 |
+
"ProductRelated_Duration": "2.666666667",
|
| 228 |
+
"BounceRates": "0.05",
|
| 229 |
+
"ExitRates": "0.14",
|
| 230 |
+
"PageValues": "0",
|
| 231 |
+
"SpecialDay": "0",
|
| 232 |
+
"Month": "Feb",
|
| 233 |
+
"OperatingSystems": "3",
|
| 234 |
+
"Browser": "2",
|
| 235 |
+
"Region": "2",
|
| 236 |
+
"TrafficType": "4",
|
| 237 |
+
"VisitorType": "Returning_Visitor",
|
| 238 |
+
"Weekend": "FALSE",
|
| 239 |
+
"Revenue": "FALSE"
|
| 240 |
+
},
|
| 241 |
+
{
|
| 242 |
+
"Administrative": "0",
|
| 243 |
+
"Administrative_Duration": "0",
|
| 244 |
+
"Informational": "0",
|
| 245 |
+
"Informational_Duration": "0",
|
| 246 |
+
"ProductRelated": "10",
|
| 247 |
+
"ProductRelated_Duration": "627.5",
|
| 248 |
+
"BounceRates": "0.02",
|
| 249 |
+
"ExitRates": "0.05",
|
| 250 |
+
"PageValues": "0",
|
| 251 |
+
"SpecialDay": "0",
|
| 252 |
+
"Month": "Feb",
|
| 253 |
+
"OperatingSystems": "3",
|
| 254 |
+
"Browser": "3",
|
| 255 |
+
"Region": "1",
|
| 256 |
+
"TrafficType": "4",
|
| 257 |
+
"VisitorType": "Returning_Visitor",
|
| 258 |
+
"Weekend": "TRUE",
|
| 259 |
+
"Revenue": "FALSE"
|
| 260 |
+
}
|
| 261 |
+
]
|
| 262 |
+
}
|
| 263 |
+
|
| 264 |
+
Shortlisted templates:
|
| 265 |
+
[
|
| 266 |
+
{
|
| 267 |
+
"template_id": "tpl_m4_window_partition_avg",
|
| 268 |
+
"template_name": "Window Partition Average",
|
| 269 |
+
"primary_family": "conditional_dependency_structure",
|
| 270 |
+
"portability": "partial",
|
| 271 |
+
"sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;",
|
| 272 |
+
"required_roles": [
|
| 273 |
+
"group_col",
|
| 274 |
+
"measure_col"
|
| 275 |
+
]
|
| 276 |
+
}
|
| 277 |
+
]
|
| 278 |
+
|
| 279 |
+
Problem instance:
|
| 280 |
+
{
|
| 281 |
+
"dataset_id": "m6",
|
| 282 |
+
"question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=Region, measure_col=Region.",
|
| 283 |
+
"planned_template_id": "tpl_m4_window_partition_avg",
|
| 284 |
+
"bindings": {
|
| 285 |
+
"group_col": "Region",
|
| 286 |
+
"measure_col": "Region",
|
| 287 |
+
"top_k": 18,
|
| 288 |
+
"top_n": 6,
|
| 289 |
+
"num_tiles": 10,
|
| 290 |
+
"percentile_value": 0.9,
|
| 291 |
+
"z_threshold": 2.0,
|
| 292 |
+
"fraction_threshold": 0.05,
|
| 293 |
+
"baseline_multiplier": 1.75,
|
| 294 |
+
"baseline_fraction": 0.1,
|
| 295 |
+
"min_group_size": 5,
|
| 296 |
+
"min_support": 4,
|
| 297 |
+
"measure_threshold": 3.0,
|
| 298 |
+
"time_grain": "month",
|
| 299 |
+
"lookback_rows": 3,
|
| 300 |
+
"current_period_start": "'2024-01-01'",
|
| 301 |
+
"current_period_end": "'2024-04-01'",
|
| 302 |
+
"previous_period_start": "'2023-10-01'",
|
| 303 |
+
"previous_period_end": "'2024-01-01'",
|
| 304 |
+
"drift_ratio_threshold": 0.8
|
| 305 |
+
},
|
| 306 |
+
"can_vary": [],
|
| 307 |
+
"must_fix": [],
|
| 308 |
+
"runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;"
|
| 309 |
+
}
|
| 310 |
+
|
| 311 |
+
Repair context:
|
| 312 |
+
{}
|
Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_df97c67c8cbb5094/cli/sql_prompt_attempt_2.txt
ADDED
|
@@ -0,0 +1,312 @@
|
|
|
|
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|
|
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|
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|
|
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|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
| 1 |
+
You are generating one SQLite SELECT query for a single-table SQL QA task.
|
| 2 |
+
Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
|
| 3 |
+
Rules:
|
| 4 |
+
- Use only the provided table and columns.
|
| 5 |
+
- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
|
| 6 |
+
- Prefer the planned template and bound roles when provided.
|
| 7 |
+
- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
|
| 8 |
+
- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
|
| 9 |
+
- Quote identifiers with double quotes.
|
| 10 |
+
- Return no markdown and no extra prose.
|
| 11 |
+
|
| 12 |
+
Dataset context:
|
| 13 |
+
Dataset context for SQL QA:
|
| 14 |
+
- dataset_id: m6
|
| 15 |
+
- dataset_name: Online Shoppers Purchasing Intention Dataset
|
| 16 |
+
- table_name: m6
|
| 17 |
+
- table_layout: single-table dataset (do not assume joins).
|
| 18 |
+
- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`.
|
| 19 |
+
- task_type: classification
|
| 20 |
+
- target_column: VisitorType
|
| 21 |
+
- main_row_count: 12330
|
| 22 |
+
- important_fields:
|
| 23 |
+
- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative.
|
| 24 |
+
- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration.
|
| 25 |
+
- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational.
|
| 26 |
+
- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration.
|
| 27 |
+
- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated.
|
| 28 |
+
- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration.
|
| 29 |
+
- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates.
|
| 30 |
+
- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates.
|
| 31 |
+
- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues.
|
| 32 |
+
- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay.
|
| 33 |
+
- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month.
|
| 34 |
+
- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems.
|
| 35 |
+
- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser.
|
| 36 |
+
- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region.
|
| 37 |
+
- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType.
|
| 38 |
+
- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType.
|
| 39 |
+
- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend.
|
| 40 |
+
- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue.
|
| 41 |
+
- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']]
|
| 42 |
+
- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated']
|
| 43 |
+
- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset
|
| 44 |
+
|
| 45 |
+
SQLite schema snapshot:
|
| 46 |
+
{
|
| 47 |
+
"table_name": "m6",
|
| 48 |
+
"quoted_table_name": "\"m6\"",
|
| 49 |
+
"row_count": 12330,
|
| 50 |
+
"columns": [
|
| 51 |
+
{
|
| 52 |
+
"name": "Administrative",
|
| 53 |
+
"type": "TEXT",
|
| 54 |
+
"notnull": false,
|
| 55 |
+
"pk": false
|
| 56 |
+
},
|
| 57 |
+
{
|
| 58 |
+
"name": "Administrative_Duration",
|
| 59 |
+
"type": "TEXT",
|
| 60 |
+
"notnull": false,
|
| 61 |
+
"pk": false
|
| 62 |
+
},
|
| 63 |
+
{
|
| 64 |
+
"name": "Informational",
|
| 65 |
+
"type": "TEXT",
|
| 66 |
+
"notnull": false,
|
| 67 |
+
"pk": false
|
| 68 |
+
},
|
| 69 |
+
{
|
| 70 |
+
"name": "Informational_Duration",
|
| 71 |
+
"type": "TEXT",
|
| 72 |
+
"notnull": false,
|
| 73 |
+
"pk": false
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"name": "ProductRelated",
|
| 77 |
+
"type": "TEXT",
|
| 78 |
+
"notnull": false,
|
| 79 |
+
"pk": false
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"name": "ProductRelated_Duration",
|
| 83 |
+
"type": "TEXT",
|
| 84 |
+
"notnull": false,
|
| 85 |
+
"pk": false
|
| 86 |
+
},
|
| 87 |
+
{
|
| 88 |
+
"name": "BounceRates",
|
| 89 |
+
"type": "TEXT",
|
| 90 |
+
"notnull": false,
|
| 91 |
+
"pk": false
|
| 92 |
+
},
|
| 93 |
+
{
|
| 94 |
+
"name": "ExitRates",
|
| 95 |
+
"type": "TEXT",
|
| 96 |
+
"notnull": false,
|
| 97 |
+
"pk": false
|
| 98 |
+
},
|
| 99 |
+
{
|
| 100 |
+
"name": "PageValues",
|
| 101 |
+
"type": "TEXT",
|
| 102 |
+
"notnull": false,
|
| 103 |
+
"pk": false
|
| 104 |
+
},
|
| 105 |
+
{
|
| 106 |
+
"name": "SpecialDay",
|
| 107 |
+
"type": "TEXT",
|
| 108 |
+
"notnull": false,
|
| 109 |
+
"pk": false
|
| 110 |
+
},
|
| 111 |
+
{
|
| 112 |
+
"name": "Month",
|
| 113 |
+
"type": "TEXT",
|
| 114 |
+
"notnull": false,
|
| 115 |
+
"pk": false
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"name": "OperatingSystems",
|
| 119 |
+
"type": "TEXT",
|
| 120 |
+
"notnull": false,
|
| 121 |
+
"pk": false
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"name": "Browser",
|
| 125 |
+
"type": "TEXT",
|
| 126 |
+
"notnull": false,
|
| 127 |
+
"pk": false
|
| 128 |
+
},
|
| 129 |
+
{
|
| 130 |
+
"name": "Region",
|
| 131 |
+
"type": "TEXT",
|
| 132 |
+
"notnull": false,
|
| 133 |
+
"pk": false
|
| 134 |
+
},
|
| 135 |
+
{
|
| 136 |
+
"name": "TrafficType",
|
| 137 |
+
"type": "TEXT",
|
| 138 |
+
"notnull": false,
|
| 139 |
+
"pk": false
|
| 140 |
+
},
|
| 141 |
+
{
|
| 142 |
+
"name": "VisitorType",
|
| 143 |
+
"type": "TEXT",
|
| 144 |
+
"notnull": false,
|
| 145 |
+
"pk": false
|
| 146 |
+
},
|
| 147 |
+
{
|
| 148 |
+
"name": "Weekend",
|
| 149 |
+
"type": "TEXT",
|
| 150 |
+
"notnull": false,
|
| 151 |
+
"pk": false
|
| 152 |
+
},
|
| 153 |
+
{
|
| 154 |
+
"name": "Revenue",
|
| 155 |
+
"type": "TEXT",
|
| 156 |
+
"notnull": false,
|
| 157 |
+
"pk": false
|
| 158 |
+
}
|
| 159 |
+
],
|
| 160 |
+
"sample_rows": [
|
| 161 |
+
{
|
| 162 |
+
"Administrative": "0",
|
| 163 |
+
"Administrative_Duration": "0",
|
| 164 |
+
"Informational": "0",
|
| 165 |
+
"Informational_Duration": "0",
|
| 166 |
+
"ProductRelated": "1",
|
| 167 |
+
"ProductRelated_Duration": "0",
|
| 168 |
+
"BounceRates": "0.2",
|
| 169 |
+
"ExitRates": "0.2",
|
| 170 |
+
"PageValues": "0",
|
| 171 |
+
"SpecialDay": "0",
|
| 172 |
+
"Month": "Feb",
|
| 173 |
+
"OperatingSystems": "1",
|
| 174 |
+
"Browser": "1",
|
| 175 |
+
"Region": "1",
|
| 176 |
+
"TrafficType": "1",
|
| 177 |
+
"VisitorType": "Returning_Visitor",
|
| 178 |
+
"Weekend": "FALSE",
|
| 179 |
+
"Revenue": "FALSE"
|
| 180 |
+
},
|
| 181 |
+
{
|
| 182 |
+
"Administrative": "0",
|
| 183 |
+
"Administrative_Duration": "0",
|
| 184 |
+
"Informational": "0",
|
| 185 |
+
"Informational_Duration": "0",
|
| 186 |
+
"ProductRelated": "2",
|
| 187 |
+
"ProductRelated_Duration": "64",
|
| 188 |
+
"BounceRates": "0",
|
| 189 |
+
"ExitRates": "0.1",
|
| 190 |
+
"PageValues": "0",
|
| 191 |
+
"SpecialDay": "0",
|
| 192 |
+
"Month": "Feb",
|
| 193 |
+
"OperatingSystems": "2",
|
| 194 |
+
"Browser": "2",
|
| 195 |
+
"Region": "1",
|
| 196 |
+
"TrafficType": "2",
|
| 197 |
+
"VisitorType": "Returning_Visitor",
|
| 198 |
+
"Weekend": "FALSE",
|
| 199 |
+
"Revenue": "FALSE"
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"Administrative": "0",
|
| 203 |
+
"Administrative_Duration": "0",
|
| 204 |
+
"Informational": "0",
|
| 205 |
+
"Informational_Duration": "0",
|
| 206 |
+
"ProductRelated": "1",
|
| 207 |
+
"ProductRelated_Duration": "0",
|
| 208 |
+
"BounceRates": "0.2",
|
| 209 |
+
"ExitRates": "0.2",
|
| 210 |
+
"PageValues": "0",
|
| 211 |
+
"SpecialDay": "0",
|
| 212 |
+
"Month": "Feb",
|
| 213 |
+
"OperatingSystems": "4",
|
| 214 |
+
"Browser": "1",
|
| 215 |
+
"Region": "9",
|
| 216 |
+
"TrafficType": "3",
|
| 217 |
+
"VisitorType": "Returning_Visitor",
|
| 218 |
+
"Weekend": "FALSE",
|
| 219 |
+
"Revenue": "FALSE"
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"Administrative": "0",
|
| 223 |
+
"Administrative_Duration": "0",
|
| 224 |
+
"Informational": "0",
|
| 225 |
+
"Informational_Duration": "0",
|
| 226 |
+
"ProductRelated": "2",
|
| 227 |
+
"ProductRelated_Duration": "2.666666667",
|
| 228 |
+
"BounceRates": "0.05",
|
| 229 |
+
"ExitRates": "0.14",
|
| 230 |
+
"PageValues": "0",
|
| 231 |
+
"SpecialDay": "0",
|
| 232 |
+
"Month": "Feb",
|
| 233 |
+
"OperatingSystems": "3",
|
| 234 |
+
"Browser": "2",
|
| 235 |
+
"Region": "2",
|
| 236 |
+
"TrafficType": "4",
|
| 237 |
+
"VisitorType": "Returning_Visitor",
|
| 238 |
+
"Weekend": "FALSE",
|
| 239 |
+
"Revenue": "FALSE"
|
| 240 |
+
},
|
| 241 |
+
{
|
| 242 |
+
"Administrative": "0",
|
| 243 |
+
"Administrative_Duration": "0",
|
| 244 |
+
"Informational": "0",
|
| 245 |
+
"Informational_Duration": "0",
|
| 246 |
+
"ProductRelated": "10",
|
| 247 |
+
"ProductRelated_Duration": "627.5",
|
| 248 |
+
"BounceRates": "0.02",
|
| 249 |
+
"ExitRates": "0.05",
|
| 250 |
+
"PageValues": "0",
|
| 251 |
+
"SpecialDay": "0",
|
| 252 |
+
"Month": "Feb",
|
| 253 |
+
"OperatingSystems": "3",
|
| 254 |
+
"Browser": "3",
|
| 255 |
+
"Region": "1",
|
| 256 |
+
"TrafficType": "4",
|
| 257 |
+
"VisitorType": "Returning_Visitor",
|
| 258 |
+
"Weekend": "TRUE",
|
| 259 |
+
"Revenue": "FALSE"
|
| 260 |
+
}
|
| 261 |
+
]
|
| 262 |
+
}
|
| 263 |
+
|
| 264 |
+
Shortlisted templates:
|
| 265 |
+
[
|
| 266 |
+
{
|
| 267 |
+
"template_id": "tpl_m4_window_partition_avg",
|
| 268 |
+
"template_name": "Window Partition Average",
|
| 269 |
+
"primary_family": "conditional_dependency_structure",
|
| 270 |
+
"portability": "partial",
|
| 271 |
+
"sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;",
|
| 272 |
+
"required_roles": [
|
| 273 |
+
"group_col",
|
| 274 |
+
"measure_col"
|
| 275 |
+
]
|
| 276 |
+
}
|
| 277 |
+
]
|
| 278 |
+
|
| 279 |
+
Problem instance:
|
| 280 |
+
{
|
| 281 |
+
"dataset_id": "m6",
|
| 282 |
+
"question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=Region, measure_col=Region.",
|
| 283 |
+
"planned_template_id": "tpl_m4_window_partition_avg",
|
| 284 |
+
"bindings": {
|
| 285 |
+
"group_col": "Region",
|
| 286 |
+
"measure_col": "Region",
|
| 287 |
+
"top_k": 18,
|
| 288 |
+
"top_n": 6,
|
| 289 |
+
"num_tiles": 10,
|
| 290 |
+
"percentile_value": 0.9,
|
| 291 |
+
"z_threshold": 2.0,
|
| 292 |
+
"fraction_threshold": 0.05,
|
| 293 |
+
"baseline_multiplier": 1.75,
|
| 294 |
+
"baseline_fraction": 0.1,
|
| 295 |
+
"min_group_size": 5,
|
| 296 |
+
"min_support": 4,
|
| 297 |
+
"measure_threshold": 3.0,
|
| 298 |
+
"time_grain": "month",
|
| 299 |
+
"lookback_rows": 3,
|
| 300 |
+
"current_period_start": "'2024-01-01'",
|
| 301 |
+
"current_period_end": "'2024-04-01'",
|
| 302 |
+
"previous_period_start": "'2023-10-01'",
|
| 303 |
+
"previous_period_end": "'2024-01-01'",
|
| 304 |
+
"drift_ratio_threshold": 0.8
|
| 305 |
+
},
|
| 306 |
+
"can_vary": [],
|
| 307 |
+
"must_fix": [],
|
| 308 |
+
"runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;"
|
| 309 |
+
}
|
| 310 |
+
|
| 311 |
+
Repair context:
|
| 312 |
+
{}
|
Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_df97c67c8cbb5094/cli/sql_response_attempt_1.raw.txt
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"type":"thread.started","thread_id":"019e40ff-14f8-76a3-b482-dbf8146a4153"}
|
| 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_b/m6/artifacts/v2q_m6_df97c67c8cbb5094/cli/sql_response_attempt_2.raw.txt
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"type":"thread.started","thread_id":"019e40ff-25c1-7172-a805-c59f85ca363b"}
|
| 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_b/m6/artifacts/v2q_m6_df97c67c8cbb5094/cli/sql_stderr_attempt_1.txt
ADDED
|
File without changes
|