diff --git "a/Query/sql/v4/grounding/inventories/m8_inventory_v4.json" "b/Query/sql/v4/grounding/inventories/m8_inventory_v4.json" new file mode 100644--- /dev/null +++ "b/Query/sql/v4/grounding/inventories/m8_inventory_v4.json" @@ -0,0 +1,15292 @@ +{ + "dataset_id": "m8", + "inventory_version": "subitem_workload_v4", + "planner_kind": "cli", + "line_version": "v4", + "planner_usage_summary": { + "planner_kind": "cli", + "model": "gpt-5.4", + "calls": 1, + "input_tokens": 26783, + "cached_input_tokens": 6528, + "output_tokens": 390, + "total_tokens": 27173, + "cost_usd": 0.0, + "usage_source": "ai_cli_json_usage", + "command": "codex exec --disable plugins --sandbox read-only --cd \"D:\\dpan\\Uni\\Project\\HKUNAISS\\SQLagent\" -m gpt-5.4 --json -", + "request_timeout_seconds": 420, + "invoke_retries": 2, + "by_module": { + "select_templates_cli": { + "calls": 1, + "input_tokens": 26783, + "cached_input_tokens": 6528, + "output_tokens": 390, + "total_tokens": 27173, + "cost_usd": 0.0 + } + } + }, + "role_profile_summary": { + "dataset_id": "m8", + "row_count": 45211, + "target_column": "y", + "groupable_cols": [ + "age", + "job", + "marital", + "education", + "default", + "housing", + "loan", + "contact" + ], + "numeric_cols": [ + "age", + "balance", + "day", + "duration", + "campaign", + "pdays", + "previous" + ], + "low_card_cols": [ + "marital", + "education", + "default", + "housing", + "loan", + "contact", + "poutcome", + "y" + ], + "high_card_cols": [ + "age", + "balance", + "day", + "duration", + "campaign", + "pdays", + "previous" + ], + "temporal_cols": [], + "missing_cols": [], + "filterable_cols": [ + "age", + "job", + "marital", + "education", + "default", + "balance", + "housing", + "loan" + ], + "condition_cols": [ + "marital", + "education", + "default", + "housing", + "loan", + "contact", + "poutcome", + "y" + ] + }, + "selected_template_count": 15, + "selected_agent_template_count": 12, + "selected_deterministic_template_count": 3, + "problem_count": 246, + "agent_problem_count": 192, + "deterministic_problem_count": 54, + "coverage_policy": { + "agent_template_families": [ + "subgroup_structure", + "conditional_dependency_structure", + "tail_rarity_structure" + ], + "agent_selected_template_min": 10, + "agent_selected_template_target": 12, + "agent_problem_count_per_template_min": 4, + "agent_problem_count_per_template_max": 12, + "agent_sql_variants_per_problem": "1-2", + "agent_dataset_subitem_min_sql": 5, + "deterministic_policy": "enumerate_all_applicable" + }, + "selected_agent_templates": [ + { + "template_id": "tpl_c2_two_dim_target_rate", + "template_name": "Two-Axis Target Rate Surface", + "source_workload_id": "car_evaluation_sql_repo", + "primary_family": "conditional_dependency_structure", + "secondary_family": "subgroup_structure", + "intent": "Measure how a categorical target rate changes across a pair of subgroup axes.", + "sql_skeleton": "SELECT {group_col}, {group_col_2},\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS target_rate\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY target_rate DESC;", + "required_roles": [ + "group_col", + "group_col_2", + "target_col" + ], + "optional_roles": [], + "constraints": [ + "group_col:groupable", + "group_col_2:groupable_distinct_from_group_col", + "target_col:categorical_or_binary", + "single_table_only" + ], + "single_table_portable": "partial", + "provenance": { + "url": "https://github.com/nehanawar025/Exploratory-Analysis-of-Car-Evaluation-Dataset-with-SQL/blob/main/Answers.sql", + "title": "Answers.sql · Exploratory-Analysis-of-Car-Evaluation-Dataset-with-SQL", + "source_query_id": "c2_sql_0007" + }, + "provenance_sources": [ + { + "url": "https://github.com/nehanawar025/Exploratory-Analysis-of-Car-Evaluation-Dataset-with-SQL/blob/main/Answers.sql", + "title": "Answers.sql · Exploratory-Analysis-of-Car-Evaluation-Dataset-with-SQL", + "source_query_id": "c2_sql_0007" + } + ], + "status": "ready", + "notes": "Strong fit for classification-style single-table datasets; partial on regression tasks.", + "materialization_bucket": "core", + "activation_tier": "core", + "dialect_sensitive": false, + "family_id": "conditional_dependency_structure", + "realization_mode": "agent", + "binding_roles": [ + "group_col", + "group_col_2", + "target_col" + ], + "supported_canonical_subitem_ids": [ + "dependency_strength_similarity", + "direction_consistency" + ], + "allowed_variant_roles": [ + "within_group_proportion", + "ranked_signal_view" + ], + "default_facet_ids": [ + "conditional_rate_shift", + "pairwise_conditional_dependency" + ], + "gate_priority": "primary", + "source_catalog": "template_library_v1", + "extended_family": false, + "selection_mode": "cli", + "selected_template_rank": 1, + "planned_problem_count": 10, + "sql_variant_policy": "1-2" + }, + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "source_workload_id": "insurance_cost_project_sql_repo", + "primary_family": "conditional_dependency_structure", + "secondary_family": "subgroup_structure", + "intent": "Estimate the proportion of rows meeting a low-cardinality condition within each subgroup.", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ], + "optional_roles": [], + "constraints": [ + "group_col:groupable", + "condition_col:binary_or_low_cardinality_preferred", + "single_table_only" + ], + "single_table_portable": "yes", + "provenance": { + "url": "https://github.com/arka420/Insurance-Cost-Project-Using-SQL/blob/main/Insurance%20cost%20%20SQL%20analysis.sql", + "title": "Insurance cost SQL analysis.sql · Insurance-Cost-Project-Using-SQL", + "source_query_id": "m4_sql_0016" + }, + "provenance_sources": [ + { + "url": "https://github.com/arka420/Insurance-Cost-Project-Using-SQL/blob/main/Insurance%20cost%20%20SQL%20analysis.sql", + "title": "Insurance cost SQL analysis.sql · Insurance-Cost-Project-Using-SQL", + "source_query_id": "m4_sql_0016" + } + ], + "status": "ready", + "notes": "Strong analytics template for subgroup-conditional proportions with broad portability.", + "materialization_bucket": "core", + "activation_tier": "core", + "dialect_sensitive": false, + "family_id": "conditional_dependency_structure", + "realization_mode": "agent", + "binding_roles": [ + "group_col", + "condition_col" + ], + "supported_canonical_subitem_ids": [ + "dependency_strength_similarity", + "direction_consistency" + ], + "allowed_variant_roles": [ + "within_group_proportion", + "focused_target_view" + ], + "default_facet_ids": [ + "conditional_rate_shift", + "pairwise_conditional_dependency" + ], + "gate_priority": "primary", + "source_catalog": "template_library_v1", + "extended_family": false, + "selection_mode": "cli", + "selected_template_rank": 2, + "planned_problem_count": 9, + "sql_variant_policy": "1-2" + }, + { + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "source_workload_id": "insurance_cost_project_sql_repo", + "primary_family": "conditional_dependency_structure", + "secondary_family": "subgroup_structure", + "intent": "Contrast two condition counts within each subgroup as a ratio.", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "required_roles": [ + "group_col", + "condition_col" + ], + "optional_roles": [], + "constraints": [ + "group_col:groupable", + "condition_col:binary_or_low_cardinality_preferred", + "single_table_only" + ], + "single_table_portable": "yes", + "provenance": { + "url": "https://github.com/arka420/Insurance-Cost-Project-Using-SQL/blob/main/Insurance%20cost%20%20SQL%20analysis.sql", + "title": "Insurance cost SQL analysis.sql · Insurance-Cost-Project-Using-SQL", + "source_query_id": "m4_sql_0026" + }, + "provenance_sources": [ + { + "url": "https://github.com/arka420/Insurance-Cost-Project-Using-SQL/blob/main/Insurance%20cost%20%20SQL%20analysis.sql", + "title": "Insurance cost SQL analysis.sql · Insurance-Cost-Project-Using-SQL", + "source_query_id": "m4_sql_0026" + } + ], + "status": "ready", + "notes": "Captures a common dashboard KPI style rather than a benchmark-only artifact.", + "materialization_bucket": "core", + "activation_tier": "core", + "dialect_sensitive": false, + "family_id": "conditional_dependency_structure", + "realization_mode": "agent", + "binding_roles": [ + "group_col", + "condition_col" + ], + "supported_canonical_subitem_ids": [ + "direction_consistency" + ], + "allowed_variant_roles": [ + "contrastive_conditional_view" + ], + "default_facet_ids": [ + "conditional_rate_shift" + ], + "gate_priority": "primary", + "source_catalog": "template_library_v1", + "extended_family": false, + "selection_mode": "cli", + "selected_template_rank": 3, + "planned_problem_count": 9, + "sql_variant_policy": "1-2" + }, + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "source_workload_id": "insurance_cost_project_sql_repo", + "primary_family": "conditional_dependency_structure", + "secondary_family": "subgroup_structure", + "intent": "Use a window function to report per-group averages without collapsing the row-level relation first.", + "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;", + "required_roles": [ + "group_col", + "measure_col" + ], + "optional_roles": [], + "constraints": [ + "group_col:groupable", + "measure_col:numeric", + "single_table_only" + ], + "single_table_portable": "partial", + "provenance": { + "url": "https://github.com/arka420/Insurance-Cost-Project-Using-SQL/blob/main/Insurance%20cost%20%20SQL%20analysis.sql", + "title": "Insurance cost SQL analysis.sql · Insurance-Cost-Project-Using-SQL", + "source_query_id": "m4_sql_0011" + }, + "provenance_sources": [ + { + "url": "https://github.com/arka420/Insurance-Cost-Project-Using-SQL/blob/main/Insurance%20cost%20%20SQL%20analysis.sql", + "title": "Insurance cost SQL analysis.sql · Insurance-Cost-Project-Using-SQL", + "source_query_id": "m4_sql_0011" + } + ], + "status": "ready", + "notes": "Adds explicit window-function coverage to the analytics library.", + "materialization_bucket": "core", + "activation_tier": "core", + "dialect_sensitive": false, + "family_id": "conditional_dependency_structure", + "realization_mode": "agent", + "binding_roles": [ + "group_col", + "measure_col" + ], + "supported_canonical_subitem_ids": [ + "slice_level_consistency", + "direction_consistency" + ], + "allowed_variant_roles": [ + "filtered_stable_view", + "ranked_signal_view" + ], + "default_facet_ids": [ + "conditional_rate_shift", + "conditional_interaction_hotspots" + ], + "gate_priority": "primary", + "source_catalog": "template_library_v1", + "extended_family": false, + "selection_mode": "cli", + "selected_template_rank": 4, + "planned_problem_count": 9, + "sql_variant_policy": "1-2" + }, + { + "template_id": "tpl_conditional_group_quantiles", + "template_name": "Conditional Group Quantiles", + "source_workload_id": "clickhouse_aggregate_docs", + "primary_family": "conditional_dependency_structure", + "secondary_family": "tail_rarity_structure", + "intent": "Report subgroup percentile points only for rows satisfying a low-cardinality condition.", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col})\n FILTER (WHERE {condition_col} = {condition_value}) AS conditional_percentile\nFROM {table}\nGROUP BY {group_col}\nORDER BY conditional_percentile DESC;", + "required_roles": [ + "group_col", + "measure_col", + "condition_col" + ], + "optional_roles": [], + "constraints": [ + "group_col:groupable", + "measure_col:numeric", + "condition_col:binary_or_low_cardinality_preferred", + "single_table_only" + ], + "single_table_portable": "yes", + "provenance": { + "url": "https://clickhouse.com/docs/examples/aggregate-function-combinators/quantilesTimingIf", + "title": "quantilesTimingIf | ClickHouse Docs", + "source_query_id": "ClickHouse quantilesTimingIf example" + }, + "provenance_sources": [ + { + "url": "https://clickhouse.com/docs/examples/aggregate-function-combinators/quantilesTimingIf", + "title": "quantilesTimingIf | ClickHouse Docs", + "source_query_id": "ClickHouse quantilesTimingIf example" + } + ], + "status": "ready", + "notes": "Kept optional because it is highly valuable for observability-style tails but more dialect-sensitive than the rest of the core library.", + "materialization_bucket": "core", + "activation_tier": "optional", + "dialect_sensitive": true, + "dialect_notes": "Uses percentile syntax plus conditional aggregation/filter semantics. Keep it optional unless the downstream engine supports ordered-set percentiles and FILTER/If-style conditioning.", + "family_id": "conditional_dependency_structure", + "realization_mode": "agent", + "binding_roles": [ + "group_col", + "measure_col", + "condition_col" + ], + "supported_canonical_subitem_ids": [ + "slice_level_consistency", + "direction_consistency" + ], + "allowed_variant_roles": [ + "focused_target_view", + "filtered_stable_view" + ], + "default_facet_ids": [ + "conditional_rate_shift", + "conditional_interaction_hotspots" + ], + "gate_priority": "support", + "source_catalog": "template_library_v1", + "extended_family": false, + "selection_mode": "cli", + "selected_template_rank": 5, + "planned_problem_count": 10, + "sql_variant_policy": "1-2" + }, + { + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "source_workload_id": "clickbench_hits", + "primary_family": "subgroup_structure", + "secondary_family": null, + "intent": "Count rows by a single subgroup dimension to capture baseline subgroup mass.", + "sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col" + ], + "optional_roles": [], + "constraints": [ + "group_col:groupable", + "single_table_only" + ], + "single_table_portable": "yes", + "provenance": { + "url": "https://raw.githubusercontent.com/ClickHouse/ClickBench/main/clickhouse/queries.sql", + "title": "clickhouse/queries.sql · ClickBench", + "source_query_id": "ClickBench Q08" + }, + "provenance_sources": [ + { + "url": "https://raw.githubusercontent.com/ClickHouse/ClickBench/main/clickhouse/queries.sql", + "title": "clickhouse/queries.sql · ClickBench", + "source_query_id": "ClickBench Q08" + } + ], + "status": "ready", + "notes": "Closest to dashboard-style subgroup mass queries; deliberately keeps only one group axis for broad portability.", + "materialization_bucket": "core", + "activation_tier": "core", + "dialect_sensitive": false, + "family_id": "subgroup_structure", + "realization_mode": "agent", + "binding_roles": [ + "group_col" + ], + "supported_canonical_subitem_ids": [ + "subgroup_size_stability" + ], + "allowed_variant_roles": [ + "count_distribution" + ], + "default_facet_ids": [ + "subgroup_distribution_shift" + ], + "gate_priority": "primary", + "source_catalog": "template_library_v1", + "extended_family": false, + "selection_mode": "cli", + "selected_template_rank": 6, + "planned_problem_count": 8, + "sql_variant_policy": "1-2" + }, + { + "template_id": "tpl_clickbench_filtered_topk_group_count", + "template_name": "Filtered Top-k Group Count", + "source_workload_id": "clickbench_hits", + "primary_family": "subgroup_structure", + "secondary_family": "conditional_dependency_structure", + "intent": "Rank subgroups by support within a filtered slice.", + "sql_skeleton": "SELECT {group_col}, COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY support DESC\nLIMIT {top_k};", + "required_roles": [ + "group_col", + "predicate_col" + ], + "optional_roles": [], + "constraints": [ + "group_col:groupable", + "predicate_col:filterable", + "single_table_only" + ], + "single_table_portable": "yes", + "provenance": { + "url": "https://raw.githubusercontent.com/ClickHouse/ClickBench/main/clickhouse/queries.sql", + "title": "clickhouse/queries.sql · ClickBench", + "source_query_id": "ClickBench Q13" + }, + "provenance_sources": [ + { + "url": "https://raw.githubusercontent.com/ClickHouse/ClickBench/main/clickhouse/queries.sql", + "title": "clickhouse/queries.sql · ClickBench", + "source_query_id": "ClickBench Q13" + } + ], + "status": "ready", + "notes": "A cleaner heavy-hitter slice than the existing two-dimensional filtered count template.", + "materialization_bucket": "core", + "activation_tier": "core", + "dialect_sensitive": false, + "family_id": "subgroup_structure", + "realization_mode": "agent", + "binding_roles": [ + "group_col", + "predicate_col" + ], + "supported_canonical_subitem_ids": [ + "subgroup_size_stability" + ], + "allowed_variant_roles": [ + "count_distribution", + "filtered_stable_view" + ], + "default_facet_ids": [ + "subgroup_distribution_shift" + ], + "gate_priority": "primary", + "source_catalog": "template_library_v1", + "extended_family": false, + "selection_mode": "cli", + "selected_template_rank": 7, + "planned_problem_count": 9, + "sql_variant_policy": "1-2" + }, + { + "template_id": "tpl_m4_support_guarded_group_avg", + "template_name": "Support-Guarded Group Average", + "source_workload_id": "insurance_cost_project_sql_repo", + "primary_family": "subgroup_structure", + "secondary_family": "tail_rarity_structure", + "intent": "Compute subgroup averages only when support exceeds a configurable minimum.", + "sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure, COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) > {min_group_size}\nORDER BY {group_col};", + "required_roles": [ + "group_col", + "measure_col" + ], + "optional_roles": [], + "constraints": [ + "group_col:groupable", + "measure_col:numeric", + "support_guard:minimum_group_size", + "single_table_only" + ], + "single_table_portable": "partial", + "provenance": { + "url": "https://github.com/arka420/Insurance-Cost-Project-Using-SQL/blob/main/Insurance%20cost%20%20SQL%20analysis.sql", + "title": "Insurance cost SQL analysis.sql · Insurance-Cost-Project-Using-SQL", + "source_query_id": "m4_sql_0025" + }, + "provenance_sources": [ + { + "url": "https://github.com/arka420/Insurance-Cost-Project-Using-SQL/blob/main/Insurance%20cost%20%20SQL%20analysis.sql", + "title": "Insurance cost SQL analysis.sql · Insurance-Cost-Project-Using-SQL", + "source_query_id": "m4_sql_0025" + } + ], + "status": "ready", + "notes": "Reclassified as analytics because the support guard is part of the query semantics rather than an external evaluation rule.", + "materialization_bucket": "core", + "activation_tier": "core", + "dialect_sensitive": false, + "family_id": "subgroup_structure", + "realization_mode": "agent", + "binding_roles": [ + "group_col", + "measure_col" + ], + "supported_canonical_subitem_ids": [ + "internal_profile_stability" + ], + "allowed_variant_roles": [ + "collapsed_target_view", + "filtered_stable_view" + ], + "default_facet_ids": [ + "subgroup_rank_order", + "subgroup_distribution_shift", + "subgroup_conditional_contrast" + ], + "gate_priority": "primary", + "source_catalog": "template_library_v1", + "extended_family": false, + "selection_mode": "cli", + "selected_template_rank": 8, + "planned_problem_count": 10, + "sql_variant_policy": "1-2" + }, + { + "template_id": "tpl_tpch_two_dimensional_summary", + "template_name": "Two-Dimensional Summary with Filter", + "source_workload_id": "tpch_qgen", + "primary_family": "subgroup_structure", + "secondary_family": "conditional_dependency_structure", + "intent": "Summarize a numeric measure across two grouping axes with an additional filter.", + "sql_skeleton": "SELECT {group_col}, {group_col_2},\n SUM({measure_col}) AS sum_measure,\n AVG({measure_col}) AS avg_measure,\n COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY {group_col}, {group_col_2};", + "required_roles": [ + "group_col", + "group_col_2", + "measure_col", + "predicate_col" + ], + "optional_roles": [], + "constraints": [ + "group_col:groupable", + "group_col_2:groupable_distinct_from_group_col", + "measure_col:numeric", + "predicate_col:ordered_or_numeric_preferred", + "single_table_only" + ], + "single_table_portable": "yes", + "provenance": { + "url": "https://raw.githubusercontent.com/electrum/tpch-dbgen/master/queries/1.sql", + "title": "queries/1.sql · tpch-dbgen", + "source_query_id": "TPC-H Q1" + }, + "provenance_sources": [ + { + "url": "https://raw.githubusercontent.com/electrum/tpch-dbgen/master/queries/1.sql", + "title": "queries/1.sql · tpch-dbgen", + "source_query_id": "TPC-H Q1" + } + ], + "status": "ready", + "notes": "Join-free abstraction of a classic TPC-H summary report pattern.", + "materialization_bucket": "core", + "activation_tier": "core", + "dialect_sensitive": false, + "family_id": "subgroup_structure", + "realization_mode": "agent", + "binding_roles": [ + "group_col", + "group_col_2", + "measure_col", + "predicate_col" + ], + "supported_canonical_subitem_ids": [ + "internal_profile_stability" + ], + "allowed_variant_roles": [ + "collapsed_target_view", + "filtered_stable_view" + ], + "default_facet_ids": [ + "subgroup_rank_order", + "subgroup_distribution_shift", + "subgroup_conditional_contrast" + ], + "gate_priority": "support", + "source_catalog": "template_library_v1", + "extended_family": false, + "selection_mode": "cli", + "selected_template_rank": 9, + "planned_problem_count": 10, + "sql_variant_policy": "1-2" + }, + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "source_workload_id": "bigquery_approx_aggregate_docs", + "primary_family": "tail_rarity_structure", + "secondary_family": "subgroup_structure", + "intent": "Report a percentile point such as p95 or p99 for each subgroup instead of returning the raw tail rows.", + "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;", + "required_roles": [ + "group_col", + "measure_col" + ], + "optional_roles": [], + "constraints": [ + "group_col:groupable", + "measure_col:numeric", + "single_table_only" + ], + "single_table_portable": "yes", + "provenance": { + "url": "https://cloud.google.com/bigquery/docs/reference/standard-sql/approximate_aggregate_functions", + "title": "Approximate aggregate functions | BigQuery | Google Cloud Documentation", + "source_query_id": "BigQuery APPROX_QUANTILES example" + }, + "provenance_sources": [ + { + "url": "https://cloud.google.com/bigquery/docs/reference/standard-sql/approximate_aggregate_functions", + "title": "Approximate aggregate functions | BigQuery | Google Cloud Documentation", + "source_query_id": "BigQuery APPROX_QUANTILES example" + }, + { + "url": "https://trino.io/docs/current/functions/aggregate.html", + "title": "Aggregate functions — Trino Documentation", + "source_query_id": "Trino approx_percentile" + }, + { + "url": "https://docs.snowflake.com/en/sql-reference/functions/percentile_cont", + "title": "PERCENTILE_CONT | Snowflake Documentation", + "source_query_id": "Snowflake PERCENTILE_CONT grouped example" + }, + { + "url": "https://clickhouse.com/docs/sql-reference/aggregate-functions/reference/quantile", + "title": "quantile | ClickHouse Docs", + "source_query_id": "ClickHouse quantile example" + }, + { + "url": "https://druid.apache.org/docs/latest/querying/sql-functions/", + "title": "All Druid SQL functions | Apache Druid", + "source_query_id": "Druid APPROX_QUANTILE_DS example" + }, + { + "url": "https://docs.pinot.apache.org/functions/aggregation/percentile", + "title": "percentile | Apache Pinot Docs", + "source_query_id": "Pinot percentile example" + } + ], + "status": "ready", + "notes": "Canonical percentile-point family added so the library can represent p95/p99 style tail monitoring without returning full quantile slices.", + "materialization_bucket": "core", + "activation_tier": "optional", + "dialect_sensitive": true, + "dialect_notes": "Represents a canonical percentile-point family, but concrete SQL differs across engines (for example PERCENTILE_CONT, APPROX_QUANTILES, approx_percentile, or quantile-style syntax).", + "family_id": "tail_rarity_structure", + "realization_mode": "agent", + "binding_roles": [ + "group_col", + "measure_col" + ], + "supported_canonical_subitem_ids": [ + "tail_concentration_consistency" + ], + "allowed_variant_roles": [ + "focused_target_view", + "ranked_signal_view" + ], + "default_facet_ids": [ + "rare_target_concentration" + ], + "gate_priority": "primary", + "source_catalog": "template_library_v1", + "extended_family": false, + "selection_mode": "cli", + "selected_template_rank": 10, + "planned_problem_count": 10, + "sql_variant_policy": "1-2" + }, + { + "template_id": "tpl_tail_target_rate_extremes_v2", + "template_name": "Tail Target-Rate Extremes", + "source_workload_id": "subitem_workload_v2", + "primary_family": "tail_rarity_structure", + "secondary_family": null, + "intent": "New v2 agent template for classification-style tail concentration coverage.", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support,\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS focus_rate\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY focus_rate DESC, support ASC\nLIMIT {top_k};", + "required_roles": [ + "group_col", + "target_col" + ], + "optional_roles": [], + "constraints": [ + "single_table_only", + "v2_agent_template" + ], + "single_table_portable": "yes", + "provenance": { + "url": "local://subitem_workload_v2", + "title": "Locally authored v2 template", + "source_query_id": "tpl_tail_target_rate_extremes_v2" + }, + "provenance_sources": [ + { + "url": "local://subitem_workload_v2", + "title": "Locally authored v2 template", + "source_query_id": "tpl_tail_target_rate_extremes_v2" + } + ], + "status": "ready", + "notes": "New v2 agent template for classification-style tail concentration coverage.", + "materialization_bucket": "v2_agent", + "activation_tier": "v2", + "dialect_sensitive": false, + "family_id": "tail_rarity_structure", + "realization_mode": "agent", + "binding_roles": [ + "group_col", + "target_col" + ], + "supported_canonical_subitem_ids": [ + "tail_concentration_consistency" + ], + "allowed_variant_roles": [ + "focused_target_view", + "ranked_signal_view" + ], + "default_facet_ids": [ + "rare_target_concentration" + ], + "gate_priority": "primary", + "source_catalog": "template_library_v2", + "extended_family": false, + "selection_mode": "cli", + "selected_template_rank": 11, + "planned_problem_count": 10, + "sql_variant_policy": "1-2" + }, + { + "template_id": "tpl_tail_pairwise_sparse_slice_v2", + "template_name": "Pairwise Sparse Slice Count", + "source_workload_id": "subitem_workload_v2", + "primary_family": "tail_rarity_structure", + "secondary_family": null, + "intent": "New v2 agent template for sparse pairwise tail slices.", + "sql_skeleton": "SELECT\n {group_col},\n {group_col_2},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY support ASC, {group_col}, {group_col_2}\nLIMIT {top_k};", + "required_roles": [ + "group_col", + "group_col_2" + ], + "optional_roles": [], + "constraints": [ + "single_table_only", + "v2_agent_template" + ], + "single_table_portable": "yes", + "provenance": { + "url": "local://subitem_workload_v2", + "title": "Locally authored v2 template", + "source_query_id": "tpl_tail_pairwise_sparse_slice_v2" + }, + "provenance_sources": [ + { + "url": "local://subitem_workload_v2", + "title": "Locally authored v2 template", + "source_query_id": "tpl_tail_pairwise_sparse_slice_v2" + } + ], + "status": "ready", + "notes": "New v2 agent template for sparse pairwise tail slices.", + "materialization_bucket": "v2_agent", + "activation_tier": "v2", + "dialect_sensitive": false, + "family_id": "tail_rarity_structure", + "realization_mode": "agent", + "binding_roles": [ + "group_col", + "group_col_2" + ], + "supported_canonical_subitem_ids": [ + "tail_set_consistency", + "tail_mass_similarity" + ], + "allowed_variant_roles": [ + "rare_extreme_view", + "filtered_stable_view" + ], + "default_facet_ids": [ + "tail_ranked_signal", + "low_support_extremes" + ], + "gate_priority": "support", + "source_catalog": "template_library_v2", + "extended_family": false, + "selection_mode": "cli", + "selected_template_rank": 12, + "planned_problem_count": 7, + "sql_variant_policy": "1-2" + } + ], + "selected_deterministic_templates": [ + { + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "source_workload_id": "subitem_workload_v2", + "primary_family": "cardinality_structure", + "secondary_family": null, + "intent": "New deterministic template for v2.", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "required_roles": [ + "group_col" + ], + "optional_roles": [], + "constraints": [ + "single_table_only", + "v2_deterministic_template" + ], + "single_table_portable": "yes", + "provenance": { + "url": "local://subitem_workload_v2", + "title": "Locally authored v2 template", + "source_query_id": "tpl_cardinality_distinct_share_profile" + }, + "provenance_sources": [ + { + "url": "local://subitem_workload_v2", + "title": "Locally authored v2 template", + "source_query_id": "tpl_cardinality_distinct_share_profile" + } + ], + "status": "ready", + "notes": "New deterministic template for v2.", + "materialization_bucket": "v2_deterministic", + "activation_tier": "v2", + "dialect_sensitive": false, + "family_id": "cardinality_structure", + "realization_mode": "deterministic", + "binding_roles": [ + "group_col" + ], + "supported_canonical_subitem_ids": [ + "support_rank_profile_consistency" + ], + "allowed_variant_roles": [ + "ranked_signal_view" + ], + "default_facet_ids": [ + "support_concentration", + "value_imbalance_profile" + ], + "gate_priority": "deterministic", + "source_catalog": "template_library_v2", + "extended_family": true + }, + { + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "source_workload_id": "subitem_workload_v2", + "primary_family": "cardinality_structure", + "secondary_family": null, + "intent": "New deterministic template for v2.", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "required_roles": [ + "group_col" + ], + "optional_roles": [], + "constraints": [ + "single_table_only", + "v2_deterministic_template" + ], + "single_table_portable": "yes", + "provenance": { + "url": "local://subitem_workload_v2", + "title": "Locally authored v2 template", + "source_query_id": "tpl_cardinality_support_rank_profile" + }, + "provenance_sources": [ + { + "url": "local://subitem_workload_v2", + "title": "Locally authored v2 template", + "source_query_id": "tpl_cardinality_support_rank_profile" + } + ], + "status": "ready", + "notes": "New deterministic template for v2.", + "materialization_bucket": "v2_deterministic", + "activation_tier": "v2", + "dialect_sensitive": false, + "family_id": "cardinality_structure", + "realization_mode": "deterministic", + "binding_roles": [ + "group_col" + ], + "supported_canonical_subitem_ids": [ + "support_rank_profile_consistency" + ], + "allowed_variant_roles": [ + "count_distribution" + ], + "default_facet_ids": [ + "support_concentration", + "value_imbalance_profile" + ], + "gate_priority": "deterministic", + "source_catalog": "template_library_v2", + "extended_family": true + }, + { + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "source_workload_id": "subitem_workload_v2", + "primary_family": "cardinality_structure", + "secondary_family": null, + "intent": "New deterministic template for v2.", + "sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "required_roles": [ + "key_col", + "target_col" + ], + "optional_roles": [], + "constraints": [ + "single_table_only", + "v2_deterministic_template" + ], + "single_table_portable": "yes", + "provenance": { + "url": "local://subitem_workload_v2", + "title": "Locally authored v2 template", + "source_query_id": "tpl_cardinality_high_card_response_stability" + }, + "provenance_sources": [ + { + "url": "local://subitem_workload_v2", + "title": "Locally authored v2 template", + "source_query_id": "tpl_cardinality_high_card_response_stability" + } + ], + "status": "ready", + "notes": "New deterministic template for v2.", + "materialization_bucket": "v2_deterministic", + "activation_tier": "v2", + "dialect_sensitive": false, + "family_id": "cardinality_structure", + "realization_mode": "deterministic", + "binding_roles": [ + "key_col", + "target_col" + ], + "supported_canonical_subitem_ids": [ + "high_cardinality_response_stability" + ], + "allowed_variant_roles": [ + "focused_target_view" + ], + "default_facet_ids": [ + "target_cardinality_cross_section" + ], + "gate_priority": "deterministic", + "source_catalog": "template_library_v2", + "extended_family": true + } + ], + "selected_templates": [ + { + "template_id": "tpl_c2_two_dim_target_rate", + "template_name": "Two-Axis Target Rate Surface", + "source_workload_id": "car_evaluation_sql_repo", + "primary_family": "conditional_dependency_structure", + "secondary_family": "subgroup_structure", + "intent": "Measure how a categorical target rate changes across a pair of subgroup axes.", + "sql_skeleton": "SELECT {group_col}, {group_col_2},\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS target_rate\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY target_rate DESC;", + "required_roles": [ + "group_col", + "group_col_2", + "target_col" + ], + "optional_roles": [], + "constraints": [ + "group_col:groupable", + "group_col_2:groupable_distinct_from_group_col", + "target_col:categorical_or_binary", + "single_table_only" + ], + "single_table_portable": "partial", + "provenance": { + "url": "https://github.com/nehanawar025/Exploratory-Analysis-of-Car-Evaluation-Dataset-with-SQL/blob/main/Answers.sql", + "title": "Answers.sql · Exploratory-Analysis-of-Car-Evaluation-Dataset-with-SQL", + "source_query_id": "c2_sql_0007" + }, + "provenance_sources": [ + { + "url": "https://github.com/nehanawar025/Exploratory-Analysis-of-Car-Evaluation-Dataset-with-SQL/blob/main/Answers.sql", + "title": "Answers.sql · Exploratory-Analysis-of-Car-Evaluation-Dataset-with-SQL", + "source_query_id": "c2_sql_0007" + } + ], + "status": "ready", + "notes": "Strong fit for classification-style single-table datasets; partial on regression tasks.", + "materialization_bucket": "core", + "activation_tier": "core", + "dialect_sensitive": false, + "family_id": "conditional_dependency_structure", + "realization_mode": "agent", + "binding_roles": [ + "group_col", + "group_col_2", + "target_col" + ], + "supported_canonical_subitem_ids": [ + "dependency_strength_similarity", + "direction_consistency" + ], + "allowed_variant_roles": [ + "within_group_proportion", + "ranked_signal_view" + ], + "default_facet_ids": [ + "conditional_rate_shift", + "pairwise_conditional_dependency" + ], + "gate_priority": "primary", + "source_catalog": "template_library_v1", + "extended_family": false, + "selection_mode": "cli", + "selected_template_rank": 1, + "planned_problem_count": 10, + "sql_variant_policy": "1-2" + }, + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "source_workload_id": "insurance_cost_project_sql_repo", + "primary_family": "conditional_dependency_structure", + "secondary_family": "subgroup_structure", + "intent": "Estimate the proportion of rows meeting a low-cardinality condition within each subgroup.", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ], + "optional_roles": [], + "constraints": [ + "group_col:groupable", + "condition_col:binary_or_low_cardinality_preferred", + "single_table_only" + ], + "single_table_portable": "yes", + "provenance": { + "url": "https://github.com/arka420/Insurance-Cost-Project-Using-SQL/blob/main/Insurance%20cost%20%20SQL%20analysis.sql", + "title": "Insurance cost SQL analysis.sql · Insurance-Cost-Project-Using-SQL", + "source_query_id": "m4_sql_0016" + }, + "provenance_sources": [ + { + "url": "https://github.com/arka420/Insurance-Cost-Project-Using-SQL/blob/main/Insurance%20cost%20%20SQL%20analysis.sql", + "title": "Insurance cost SQL analysis.sql · Insurance-Cost-Project-Using-SQL", + "source_query_id": "m4_sql_0016" + } + ], + "status": "ready", + "notes": "Strong analytics template for subgroup-conditional proportions with broad portability.", + "materialization_bucket": "core", + "activation_tier": "core", + "dialect_sensitive": false, + "family_id": "conditional_dependency_structure", + "realization_mode": "agent", + "binding_roles": [ + "group_col", + "condition_col" + ], + "supported_canonical_subitem_ids": [ + "dependency_strength_similarity", + "direction_consistency" + ], + "allowed_variant_roles": [ + "within_group_proportion", + "focused_target_view" + ], + "default_facet_ids": [ + "conditional_rate_shift", + "pairwise_conditional_dependency" + ], + "gate_priority": "primary", + "source_catalog": "template_library_v1", + "extended_family": false, + "selection_mode": "cli", + "selected_template_rank": 2, + "planned_problem_count": 9, + "sql_variant_policy": "1-2" + }, + { + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "source_workload_id": "insurance_cost_project_sql_repo", + "primary_family": "conditional_dependency_structure", + "secondary_family": "subgroup_structure", + "intent": "Contrast two condition counts within each subgroup as a ratio.", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "required_roles": [ + "group_col", + "condition_col" + ], + "optional_roles": [], + "constraints": [ + "group_col:groupable", + "condition_col:binary_or_low_cardinality_preferred", + "single_table_only" + ], + "single_table_portable": "yes", + "provenance": { + "url": "https://github.com/arka420/Insurance-Cost-Project-Using-SQL/blob/main/Insurance%20cost%20%20SQL%20analysis.sql", + "title": "Insurance cost SQL analysis.sql · Insurance-Cost-Project-Using-SQL", + "source_query_id": "m4_sql_0026" + }, + "provenance_sources": [ + { + "url": "https://github.com/arka420/Insurance-Cost-Project-Using-SQL/blob/main/Insurance%20cost%20%20SQL%20analysis.sql", + "title": "Insurance cost SQL analysis.sql · Insurance-Cost-Project-Using-SQL", + "source_query_id": "m4_sql_0026" + } + ], + "status": "ready", + "notes": "Captures a common dashboard KPI style rather than a benchmark-only artifact.", + "materialization_bucket": "core", + "activation_tier": "core", + "dialect_sensitive": false, + "family_id": "conditional_dependency_structure", + "realization_mode": "agent", + "binding_roles": [ + "group_col", + "condition_col" + ], + "supported_canonical_subitem_ids": [ + "direction_consistency" + ], + "allowed_variant_roles": [ + "contrastive_conditional_view" + ], + "default_facet_ids": [ + "conditional_rate_shift" + ], + "gate_priority": "primary", + "source_catalog": "template_library_v1", + "extended_family": false, + "selection_mode": "cli", + "selected_template_rank": 3, + "planned_problem_count": 9, + "sql_variant_policy": "1-2" + }, + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "source_workload_id": "insurance_cost_project_sql_repo", + "primary_family": "conditional_dependency_structure", + "secondary_family": "subgroup_structure", + "intent": "Use a window function to report per-group averages without collapsing the row-level relation first.", + "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;", + "required_roles": [ + "group_col", + "measure_col" + ], + "optional_roles": [], + "constraints": [ + "group_col:groupable", + "measure_col:numeric", + "single_table_only" + ], + "single_table_portable": "partial", + "provenance": { + "url": "https://github.com/arka420/Insurance-Cost-Project-Using-SQL/blob/main/Insurance%20cost%20%20SQL%20analysis.sql", + "title": "Insurance cost SQL analysis.sql · Insurance-Cost-Project-Using-SQL", + "source_query_id": "m4_sql_0011" + }, + "provenance_sources": [ + { + "url": "https://github.com/arka420/Insurance-Cost-Project-Using-SQL/blob/main/Insurance%20cost%20%20SQL%20analysis.sql", + "title": "Insurance cost SQL analysis.sql · Insurance-Cost-Project-Using-SQL", + "source_query_id": "m4_sql_0011" + } + ], + "status": "ready", + "notes": "Adds explicit window-function coverage to the analytics library.", + "materialization_bucket": "core", + "activation_tier": "core", + "dialect_sensitive": false, + "family_id": "conditional_dependency_structure", + "realization_mode": "agent", + "binding_roles": [ + "group_col", + "measure_col" + ], + "supported_canonical_subitem_ids": [ + "slice_level_consistency", + "direction_consistency" + ], + "allowed_variant_roles": [ + "filtered_stable_view", + "ranked_signal_view" + ], + "default_facet_ids": [ + "conditional_rate_shift", + "conditional_interaction_hotspots" + ], + "gate_priority": "primary", + "source_catalog": "template_library_v1", + "extended_family": false, + "selection_mode": "cli", + "selected_template_rank": 4, + "planned_problem_count": 9, + "sql_variant_policy": "1-2" + }, + { + "template_id": "tpl_conditional_group_quantiles", + "template_name": "Conditional Group Quantiles", + "source_workload_id": "clickhouse_aggregate_docs", + "primary_family": "conditional_dependency_structure", + "secondary_family": "tail_rarity_structure", + "intent": "Report subgroup percentile points only for rows satisfying a low-cardinality condition.", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col})\n FILTER (WHERE {condition_col} = {condition_value}) AS conditional_percentile\nFROM {table}\nGROUP BY {group_col}\nORDER BY conditional_percentile DESC;", + "required_roles": [ + "group_col", + "measure_col", + "condition_col" + ], + "optional_roles": [], + "constraints": [ + "group_col:groupable", + "measure_col:numeric", + "condition_col:binary_or_low_cardinality_preferred", + "single_table_only" + ], + "single_table_portable": "yes", + "provenance": { + "url": "https://clickhouse.com/docs/examples/aggregate-function-combinators/quantilesTimingIf", + "title": "quantilesTimingIf | ClickHouse Docs", + "source_query_id": "ClickHouse quantilesTimingIf example" + }, + "provenance_sources": [ + { + "url": "https://clickhouse.com/docs/examples/aggregate-function-combinators/quantilesTimingIf", + "title": "quantilesTimingIf | ClickHouse Docs", + "source_query_id": "ClickHouse quantilesTimingIf example" + } + ], + "status": "ready", + "notes": "Kept optional because it is highly valuable for observability-style tails but more dialect-sensitive than the rest of the core library.", + "materialization_bucket": "core", + "activation_tier": "optional", + "dialect_sensitive": true, + "dialect_notes": "Uses percentile syntax plus conditional aggregation/filter semantics. Keep it optional unless the downstream engine supports ordered-set percentiles and FILTER/If-style conditioning.", + "family_id": "conditional_dependency_structure", + "realization_mode": "agent", + "binding_roles": [ + "group_col", + "measure_col", + "condition_col" + ], + "supported_canonical_subitem_ids": [ + "slice_level_consistency", + "direction_consistency" + ], + "allowed_variant_roles": [ + "focused_target_view", + "filtered_stable_view" + ], + "default_facet_ids": [ + "conditional_rate_shift", + "conditional_interaction_hotspots" + ], + "gate_priority": "support", + "source_catalog": "template_library_v1", + "extended_family": false, + "selection_mode": "cli", + "selected_template_rank": 5, + "planned_problem_count": 10, + "sql_variant_policy": "1-2" + }, + { + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "source_workload_id": "clickbench_hits", + "primary_family": "subgroup_structure", + "secondary_family": null, + "intent": "Count rows by a single subgroup dimension to capture baseline subgroup mass.", + "sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col" + ], + "optional_roles": [], + "constraints": [ + "group_col:groupable", + "single_table_only" + ], + "single_table_portable": "yes", + "provenance": { + "url": "https://raw.githubusercontent.com/ClickHouse/ClickBench/main/clickhouse/queries.sql", + "title": "clickhouse/queries.sql · ClickBench", + "source_query_id": "ClickBench Q08" + }, + "provenance_sources": [ + { + "url": "https://raw.githubusercontent.com/ClickHouse/ClickBench/main/clickhouse/queries.sql", + "title": "clickhouse/queries.sql · ClickBench", + "source_query_id": "ClickBench Q08" + } + ], + "status": "ready", + "notes": "Closest to dashboard-style subgroup mass queries; deliberately keeps only one group axis for broad portability.", + "materialization_bucket": "core", + "activation_tier": "core", + "dialect_sensitive": false, + "family_id": "subgroup_structure", + "realization_mode": "agent", + "binding_roles": [ + "group_col" + ], + "supported_canonical_subitem_ids": [ + "subgroup_size_stability" + ], + "allowed_variant_roles": [ + "count_distribution" + ], + "default_facet_ids": [ + "subgroup_distribution_shift" + ], + "gate_priority": "primary", + "source_catalog": "template_library_v1", + "extended_family": false, + "selection_mode": "cli", + "selected_template_rank": 6, + "planned_problem_count": 8, + "sql_variant_policy": "1-2" + }, + { + "template_id": "tpl_clickbench_filtered_topk_group_count", + "template_name": "Filtered Top-k Group Count", + "source_workload_id": "clickbench_hits", + "primary_family": "subgroup_structure", + "secondary_family": "conditional_dependency_structure", + "intent": "Rank subgroups by support within a filtered slice.", + "sql_skeleton": "SELECT {group_col}, COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY support DESC\nLIMIT {top_k};", + "required_roles": [ + "group_col", + "predicate_col" + ], + "optional_roles": [], + "constraints": [ + "group_col:groupable", + "predicate_col:filterable", + "single_table_only" + ], + "single_table_portable": "yes", + "provenance": { + "url": "https://raw.githubusercontent.com/ClickHouse/ClickBench/main/clickhouse/queries.sql", + "title": "clickhouse/queries.sql · ClickBench", + "source_query_id": "ClickBench Q13" + }, + "provenance_sources": [ + { + "url": "https://raw.githubusercontent.com/ClickHouse/ClickBench/main/clickhouse/queries.sql", + "title": "clickhouse/queries.sql · ClickBench", + "source_query_id": "ClickBench Q13" + } + ], + "status": "ready", + "notes": "A cleaner heavy-hitter slice than the existing two-dimensional filtered count template.", + "materialization_bucket": "core", + "activation_tier": "core", + "dialect_sensitive": false, + "family_id": "subgroup_structure", + "realization_mode": "agent", + "binding_roles": [ + "group_col", + "predicate_col" + ], + "supported_canonical_subitem_ids": [ + "subgroup_size_stability" + ], + "allowed_variant_roles": [ + "count_distribution", + "filtered_stable_view" + ], + "default_facet_ids": [ + "subgroup_distribution_shift" + ], + "gate_priority": "primary", + "source_catalog": "template_library_v1", + "extended_family": false, + "selection_mode": "cli", + "selected_template_rank": 7, + "planned_problem_count": 9, + "sql_variant_policy": "1-2" + }, + { + "template_id": "tpl_m4_support_guarded_group_avg", + "template_name": "Support-Guarded Group Average", + "source_workload_id": "insurance_cost_project_sql_repo", + "primary_family": "subgroup_structure", + "secondary_family": "tail_rarity_structure", + "intent": "Compute subgroup averages only when support exceeds a configurable minimum.", + "sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure, COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) > {min_group_size}\nORDER BY {group_col};", + "required_roles": [ + "group_col", + "measure_col" + ], + "optional_roles": [], + "constraints": [ + "group_col:groupable", + "measure_col:numeric", + "support_guard:minimum_group_size", + "single_table_only" + ], + "single_table_portable": "partial", + "provenance": { + "url": "https://github.com/arka420/Insurance-Cost-Project-Using-SQL/blob/main/Insurance%20cost%20%20SQL%20analysis.sql", + "title": "Insurance cost SQL analysis.sql · Insurance-Cost-Project-Using-SQL", + "source_query_id": "m4_sql_0025" + }, + "provenance_sources": [ + { + "url": "https://github.com/arka420/Insurance-Cost-Project-Using-SQL/blob/main/Insurance%20cost%20%20SQL%20analysis.sql", + "title": "Insurance cost SQL analysis.sql · Insurance-Cost-Project-Using-SQL", + "source_query_id": "m4_sql_0025" + } + ], + "status": "ready", + "notes": "Reclassified as analytics because the support guard is part of the query semantics rather than an external evaluation rule.", + "materialization_bucket": "core", + "activation_tier": "core", + "dialect_sensitive": false, + "family_id": "subgroup_structure", + "realization_mode": "agent", + "binding_roles": [ + "group_col", + "measure_col" + ], + "supported_canonical_subitem_ids": [ + "internal_profile_stability" + ], + "allowed_variant_roles": [ + "collapsed_target_view", + "filtered_stable_view" + ], + "default_facet_ids": [ + "subgroup_rank_order", + "subgroup_distribution_shift", + "subgroup_conditional_contrast" + ], + "gate_priority": "primary", + "source_catalog": "template_library_v1", + "extended_family": false, + "selection_mode": "cli", + "selected_template_rank": 8, + "planned_problem_count": 10, + "sql_variant_policy": "1-2" + }, + { + "template_id": "tpl_tpch_two_dimensional_summary", + "template_name": "Two-Dimensional Summary with Filter", + "source_workload_id": "tpch_qgen", + "primary_family": "subgroup_structure", + "secondary_family": "conditional_dependency_structure", + "intent": "Summarize a numeric measure across two grouping axes with an additional filter.", + "sql_skeleton": "SELECT {group_col}, {group_col_2},\n SUM({measure_col}) AS sum_measure,\n AVG({measure_col}) AS avg_measure,\n COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY {group_col}, {group_col_2};", + "required_roles": [ + "group_col", + "group_col_2", + "measure_col", + "predicate_col" + ], + "optional_roles": [], + "constraints": [ + "group_col:groupable", + "group_col_2:groupable_distinct_from_group_col", + "measure_col:numeric", + "predicate_col:ordered_or_numeric_preferred", + "single_table_only" + ], + "single_table_portable": "yes", + "provenance": { + "url": "https://raw.githubusercontent.com/electrum/tpch-dbgen/master/queries/1.sql", + "title": "queries/1.sql · tpch-dbgen", + "source_query_id": "TPC-H Q1" + }, + "provenance_sources": [ + { + "url": "https://raw.githubusercontent.com/electrum/tpch-dbgen/master/queries/1.sql", + "title": "queries/1.sql · tpch-dbgen", + "source_query_id": "TPC-H Q1" + } + ], + "status": "ready", + "notes": "Join-free abstraction of a classic TPC-H summary report pattern.", + "materialization_bucket": "core", + "activation_tier": "core", + "dialect_sensitive": false, + "family_id": "subgroup_structure", + "realization_mode": "agent", + "binding_roles": [ + "group_col", + "group_col_2", + "measure_col", + "predicate_col" + ], + "supported_canonical_subitem_ids": [ + "internal_profile_stability" + ], + "allowed_variant_roles": [ + "collapsed_target_view", + "filtered_stable_view" + ], + "default_facet_ids": [ + "subgroup_rank_order", + "subgroup_distribution_shift", + "subgroup_conditional_contrast" + ], + "gate_priority": "support", + "source_catalog": "template_library_v1", + "extended_family": false, + "selection_mode": "cli", + "selected_template_rank": 9, + "planned_problem_count": 10, + "sql_variant_policy": "1-2" + }, + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "source_workload_id": "bigquery_approx_aggregate_docs", + "primary_family": "tail_rarity_structure", + "secondary_family": "subgroup_structure", + "intent": "Report a percentile point such as p95 or p99 for each subgroup instead of returning the raw tail rows.", + "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;", + "required_roles": [ + "group_col", + "measure_col" + ], + "optional_roles": [], + "constraints": [ + "group_col:groupable", + "measure_col:numeric", + "single_table_only" + ], + "single_table_portable": "yes", + "provenance": { + "url": "https://cloud.google.com/bigquery/docs/reference/standard-sql/approximate_aggregate_functions", + "title": "Approximate aggregate functions | BigQuery | Google Cloud Documentation", + "source_query_id": "BigQuery APPROX_QUANTILES example" + }, + "provenance_sources": [ + { + "url": "https://cloud.google.com/bigquery/docs/reference/standard-sql/approximate_aggregate_functions", + "title": "Approximate aggregate functions | BigQuery | Google Cloud Documentation", + "source_query_id": "BigQuery APPROX_QUANTILES example" + }, + { + "url": "https://trino.io/docs/current/functions/aggregate.html", + "title": "Aggregate functions — Trino Documentation", + "source_query_id": "Trino approx_percentile" + }, + { + "url": "https://docs.snowflake.com/en/sql-reference/functions/percentile_cont", + "title": "PERCENTILE_CONT | Snowflake Documentation", + "source_query_id": "Snowflake PERCENTILE_CONT grouped example" + }, + { + "url": "https://clickhouse.com/docs/sql-reference/aggregate-functions/reference/quantile", + "title": "quantile | ClickHouse Docs", + "source_query_id": "ClickHouse quantile example" + }, + { + "url": "https://druid.apache.org/docs/latest/querying/sql-functions/", + "title": "All Druid SQL functions | Apache Druid", + "source_query_id": "Druid APPROX_QUANTILE_DS example" + }, + { + "url": "https://docs.pinot.apache.org/functions/aggregation/percentile", + "title": "percentile | Apache Pinot Docs", + "source_query_id": "Pinot percentile example" + } + ], + "status": "ready", + "notes": "Canonical percentile-point family added so the library can represent p95/p99 style tail monitoring without returning full quantile slices.", + "materialization_bucket": "core", + "activation_tier": "optional", + "dialect_sensitive": true, + "dialect_notes": "Represents a canonical percentile-point family, but concrete SQL differs across engines (for example PERCENTILE_CONT, APPROX_QUANTILES, approx_percentile, or quantile-style syntax).", + "family_id": "tail_rarity_structure", + "realization_mode": "agent", + "binding_roles": [ + "group_col", + "measure_col" + ], + "supported_canonical_subitem_ids": [ + "tail_concentration_consistency" + ], + "allowed_variant_roles": [ + "focused_target_view", + "ranked_signal_view" + ], + "default_facet_ids": [ + "rare_target_concentration" + ], + "gate_priority": "primary", + "source_catalog": "template_library_v1", + "extended_family": false, + "selection_mode": "cli", + "selected_template_rank": 10, + "planned_problem_count": 10, + "sql_variant_policy": "1-2" + }, + { + "template_id": "tpl_tail_target_rate_extremes_v2", + "template_name": "Tail Target-Rate Extremes", + "source_workload_id": "subitem_workload_v2", + "primary_family": "tail_rarity_structure", + "secondary_family": null, + "intent": "New v2 agent template for classification-style tail concentration coverage.", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support,\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS focus_rate\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY focus_rate DESC, support ASC\nLIMIT {top_k};", + "required_roles": [ + "group_col", + "target_col" + ], + "optional_roles": [], + "constraints": [ + "single_table_only", + "v2_agent_template" + ], + "single_table_portable": "yes", + "provenance": { + "url": "local://subitem_workload_v2", + "title": "Locally authored v2 template", + "source_query_id": "tpl_tail_target_rate_extremes_v2" + }, + "provenance_sources": [ + { + "url": "local://subitem_workload_v2", + "title": "Locally authored v2 template", + "source_query_id": "tpl_tail_target_rate_extremes_v2" + } + ], + "status": "ready", + "notes": "New v2 agent template for classification-style tail concentration coverage.", + "materialization_bucket": "v2_agent", + "activation_tier": "v2", + "dialect_sensitive": false, + "family_id": "tail_rarity_structure", + "realization_mode": "agent", + "binding_roles": [ + "group_col", + "target_col" + ], + "supported_canonical_subitem_ids": [ + "tail_concentration_consistency" + ], + "allowed_variant_roles": [ + "focused_target_view", + "ranked_signal_view" + ], + "default_facet_ids": [ + "rare_target_concentration" + ], + "gate_priority": "primary", + "source_catalog": "template_library_v2", + "extended_family": false, + "selection_mode": "cli", + "selected_template_rank": 11, + "planned_problem_count": 10, + "sql_variant_policy": "1-2" + }, + { + "template_id": "tpl_tail_pairwise_sparse_slice_v2", + "template_name": "Pairwise Sparse Slice Count", + "source_workload_id": "subitem_workload_v2", + "primary_family": "tail_rarity_structure", + "secondary_family": null, + "intent": "New v2 agent template for sparse pairwise tail slices.", + "sql_skeleton": "SELECT\n {group_col},\n {group_col_2},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY support ASC, {group_col}, {group_col_2}\nLIMIT {top_k};", + "required_roles": [ + "group_col", + "group_col_2" + ], + "optional_roles": [], + "constraints": [ + "single_table_only", + "v2_agent_template" + ], + "single_table_portable": "yes", + "provenance": { + "url": "local://subitem_workload_v2", + "title": "Locally authored v2 template", + "source_query_id": "tpl_tail_pairwise_sparse_slice_v2" + }, + "provenance_sources": [ + { + "url": "local://subitem_workload_v2", + "title": "Locally authored v2 template", + "source_query_id": "tpl_tail_pairwise_sparse_slice_v2" + } + ], + "status": "ready", + "notes": "New v2 agent template for sparse pairwise tail slices.", + "materialization_bucket": "v2_agent", + "activation_tier": "v2", + "dialect_sensitive": false, + "family_id": "tail_rarity_structure", + "realization_mode": "agent", + "binding_roles": [ + "group_col", + "group_col_2" + ], + "supported_canonical_subitem_ids": [ + "tail_set_consistency", + "tail_mass_similarity" + ], + "allowed_variant_roles": [ + "rare_extreme_view", + "filtered_stable_view" + ], + "default_facet_ids": [ + "tail_ranked_signal", + "low_support_extremes" + ], + "gate_priority": "support", + "source_catalog": "template_library_v2", + "extended_family": false, + "selection_mode": "cli", + "selected_template_rank": 12, + "planned_problem_count": 7, + "sql_variant_policy": "1-2" + }, + { + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "source_workload_id": "subitem_workload_v2", + "primary_family": "cardinality_structure", + "secondary_family": null, + "intent": "New deterministic template for v2.", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "required_roles": [ + "group_col" + ], + "optional_roles": [], + "constraints": [ + "single_table_only", + "v2_deterministic_template" + ], + "single_table_portable": "yes", + "provenance": { + "url": "local://subitem_workload_v2", + "title": "Locally authored v2 template", + "source_query_id": "tpl_cardinality_distinct_share_profile" + }, + "provenance_sources": [ + { + "url": "local://subitem_workload_v2", + "title": "Locally authored v2 template", + "source_query_id": "tpl_cardinality_distinct_share_profile" + } + ], + "status": "ready", + "notes": "New deterministic template for v2.", + "materialization_bucket": "v2_deterministic", + "activation_tier": "v2", + "dialect_sensitive": false, + "family_id": "cardinality_structure", + "realization_mode": "deterministic", + "binding_roles": [ + "group_col" + ], + "supported_canonical_subitem_ids": [ + "support_rank_profile_consistency" + ], + "allowed_variant_roles": [ + "ranked_signal_view" + ], + "default_facet_ids": [ + "support_concentration", + "value_imbalance_profile" + ], + "gate_priority": "deterministic", + "source_catalog": "template_library_v2", + "extended_family": true + }, + { + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "source_workload_id": "subitem_workload_v2", + "primary_family": "cardinality_structure", + "secondary_family": null, + "intent": "New deterministic template for v2.", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "required_roles": [ + "group_col" + ], + "optional_roles": [], + "constraints": [ + "single_table_only", + "v2_deterministic_template" + ], + "single_table_portable": "yes", + "provenance": { + "url": "local://subitem_workload_v2", + "title": "Locally authored v2 template", + "source_query_id": "tpl_cardinality_support_rank_profile" + }, + "provenance_sources": [ + { + "url": "local://subitem_workload_v2", + "title": "Locally authored v2 template", + "source_query_id": "tpl_cardinality_support_rank_profile" + } + ], + "status": "ready", + "notes": "New deterministic template for v2.", + "materialization_bucket": "v2_deterministic", + "activation_tier": "v2", + "dialect_sensitive": false, + "family_id": "cardinality_structure", + "realization_mode": "deterministic", + "binding_roles": [ + "group_col" + ], + "supported_canonical_subitem_ids": [ + "support_rank_profile_consistency" + ], + "allowed_variant_roles": [ + "count_distribution" + ], + "default_facet_ids": [ + "support_concentration", + "value_imbalance_profile" + ], + "gate_priority": "deterministic", + "source_catalog": "template_library_v2", + "extended_family": true + }, + { + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "source_workload_id": "subitem_workload_v2", + "primary_family": "cardinality_structure", + "secondary_family": null, + "intent": "New deterministic template for v2.", + "sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "required_roles": [ + "key_col", + "target_col" + ], + "optional_roles": [], + "constraints": [ + "single_table_only", + "v2_deterministic_template" + ], + "single_table_portable": "yes", + "provenance": { + "url": "local://subitem_workload_v2", + "title": "Locally authored v2 template", + "source_query_id": "tpl_cardinality_high_card_response_stability" + }, + "provenance_sources": [ + { + "url": "local://subitem_workload_v2", + "title": "Locally authored v2 template", + "source_query_id": "tpl_cardinality_high_card_response_stability" + } + ], + "status": "ready", + "notes": "New deterministic template for v2.", + "materialization_bucket": "v2_deterministic", + "activation_tier": "v2", + "dialect_sensitive": false, + "family_id": "cardinality_structure", + "realization_mode": "deterministic", + "binding_roles": [ + "key_col", + "target_col" + ], + "supported_canonical_subitem_ids": [ + "high_cardinality_response_stability" + ], + "allowed_variant_roles": [ + "focused_target_view" + ], + "default_facet_ids": [ + "target_cardinality_cross_section" + ], + "gate_priority": "deterministic", + "source_catalog": "template_library_v2", + "extended_family": true + } + ], + "items": [ + { + "query_record_id": "v2q_m8_7464dcff5557725b", + "problem_id": "v2p_m8_11c69b08a4c04412", + "dataset_id": "m8", + "template_id": "tpl_c2_two_dim_target_rate", + "template_name": "Two-Axis Target Rate Surface", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Two-Axis Target Rate Surface to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=age, group_col_2=job, target_col=y.", + "bindings": { + "group_col": "age", + "group_col_2": "job", + "target_col": "y", + "target_value": "no", + "top_k": 10, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 48.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS target_rate\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY target_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=cli", + "problem_index_within_template=1", + "sql_variant_index=1/2", + "binding_index=0" + ], + "template_selection_mode": "cli", + "selected_template_rank": 1, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_04334f162afc6253", + "problem_id": "v2p_m8_d29a9d6d4a7e9923", + "dataset_id": "m8", + "template_id": "tpl_c2_two_dim_target_rate", + "template_name": "Two-Axis Target Rate Surface", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Two-Axis Target Rate Surface to probe dependency_strength_similarity with semantic role ranked_signal_view. Focus on group_col=age, group_col_2=job, target_col=y.", + "bindings": { + "group_col": "age", + "group_col_2": "job", + "target_col": "y", + "target_value": "no", + "top_k": 15, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 48.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS target_rate\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY target_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=cli", + "problem_index_within_template=1", + "sql_variant_index=2/2", + "binding_index=0" + ], + "template_selection_mode": "cli", + "selected_template_rank": 1, + "problem_index_within_template": 1, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_fc09f106636e7533", + "problem_id": "v2p_m8_03eabb36122002f6", + "dataset_id": "m8", + "template_id": "tpl_c2_two_dim_target_rate", + "template_name": "Two-Axis Target Rate Surface", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Two-Axis Target Rate Surface to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=age, group_col_2=marital, target_col=y.", + "bindings": { + "group_col": "age", + "group_col_2": "marital", + "target_col": "y", + "target_value": "yes", + "top_k": 11, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 1428.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS target_rate\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY target_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=cli", + "problem_index_within_template=2", + "sql_variant_index=1/2", + "binding_index=1" + ], + "template_selection_mode": "cli", + "selected_template_rank": 1, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_c489a9aaae23b975", + "problem_id": "v2p_m8_37bad25e96c4f32c", + "dataset_id": "m8", + "template_id": "tpl_c2_two_dim_target_rate", + "template_name": "Two-Axis Target Rate Surface", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Two-Axis Target Rate Surface to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=age, group_col_2=marital, target_col=y.", + "bindings": { + "group_col": "age", + "group_col_2": "marital", + "target_col": "y", + "target_value": "yes", + "top_k": 16, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 1428.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS target_rate\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY target_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=cli", + "problem_index_within_template=2", + "sql_variant_index=2/2", + "binding_index=1" + ], + "template_selection_mode": "cli", + "selected_template_rank": 1, + "problem_index_within_template": 2, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_4786f2570a5a308d", + "problem_id": "v2p_m8_d83b7d5a7a988758", + "dataset_id": "m8", + "template_id": "tpl_c2_two_dim_target_rate", + "template_name": "Two-Axis Target Rate Surface", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Two-Axis Target Rate Surface to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=age, group_col_2=education, target_col=y.", + "bindings": { + "group_col": "age", + "group_col_2": "education", + "target_col": "y", + "target_value": "no", + "top_k": 12, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 21.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS target_rate\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY target_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=cli", + "problem_index_within_template=3", + "sql_variant_index=1/2", + "binding_index=2" + ], + "template_selection_mode": "cli", + "selected_template_rank": 1, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_9ea907ae9a2cea8d", + "problem_id": "v2p_m8_91cd67c7a4307dfb", + "dataset_id": "m8", + "template_id": "tpl_c2_two_dim_target_rate", + "template_name": "Two-Axis Target Rate Surface", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Two-Axis Target Rate Surface to probe dependency_strength_similarity with semantic role ranked_signal_view. Focus on group_col=age, group_col_2=education, target_col=y.", + "bindings": { + "group_col": "age", + "group_col_2": "education", + "target_col": "y", + "target_value": "no", + "top_k": 17, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 21.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS target_rate\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY target_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=cli", + "problem_index_within_template=3", + "sql_variant_index=2/2", + "binding_index=2" + ], + "template_selection_mode": "cli", + "selected_template_rank": 1, + "problem_index_within_template": 3, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_b442b435c97d2e30", + "problem_id": "v2p_m8_d51eefc1157d6d24", + "dataset_id": "m8", + "template_id": "tpl_c2_two_dim_target_rate", + "template_name": "Two-Axis Target Rate Surface", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Two-Axis Target Rate Surface to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=age, group_col_2=default, target_col=y.", + "bindings": { + "group_col": "age", + "group_col_2": "default", + "target_col": "y", + "target_value": "yes", + "top_k": 13, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 319.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS target_rate\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY target_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=cli", + "problem_index_within_template=4", + "sql_variant_index=1/2", + "binding_index=3" + ], + "template_selection_mode": "cli", + "selected_template_rank": 1, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_a507df29f0223fdf", + "problem_id": "v2p_m8_4f825715f1bc1fb7", + "dataset_id": "m8", + "template_id": "tpl_c2_two_dim_target_rate", + "template_name": "Two-Axis Target Rate Surface", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Two-Axis Target Rate Surface to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=age, group_col_2=default, target_col=y.", + "bindings": { + "group_col": "age", + "group_col_2": "default", + "target_col": "y", + "target_value": "yes", + "top_k": 18, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 319.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS target_rate\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY target_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=cli", + "problem_index_within_template=4", + "sql_variant_index=2/2", + "binding_index=3" + ], + "template_selection_mode": "cli", + "selected_template_rank": 1, + "problem_index_within_template": 4, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_12245fd59b2526e4", + "problem_id": "v2p_m8_4003f145e2f655fb", + "dataset_id": "m8", + "template_id": "tpl_c2_two_dim_target_rate", + "template_name": "Two-Axis Target Rate Surface", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Two-Axis Target Rate Surface to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=age, group_col_2=housing, target_col=y.", + "bindings": { + "group_col": "age", + "group_col_2": "housing", + "target_col": "y", + "target_value": "no", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS target_rate\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY target_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=cli", + "problem_index_within_template=5", + "sql_variant_index=1/2", + "binding_index=4" + ], + "template_selection_mode": "cli", + "selected_template_rank": 1, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_a45ada0752d77417", + "problem_id": "v2p_m8_2d332e4979ff181c", + "dataset_id": "m8", + "template_id": "tpl_c2_two_dim_target_rate", + "template_name": "Two-Axis Target Rate Surface", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Two-Axis Target Rate Surface to probe dependency_strength_similarity with semantic role ranked_signal_view. Focus on group_col=age, group_col_2=housing, target_col=y.", + "bindings": { + "group_col": "age", + "group_col_2": "housing", + "target_col": "y", + "target_value": "no", + "top_k": 19, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS target_rate\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY target_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=cli", + "problem_index_within_template=5", + "sql_variant_index=2/2", + "binding_index=4" + ], + "template_selection_mode": "cli", + "selected_template_rank": 1, + "problem_index_within_template": 5, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_bd2c19901f42d51c", + "problem_id": "v2p_m8_18b091e7e18c8945", + "dataset_id": "m8", + "template_id": "tpl_c2_two_dim_target_rate", + "template_name": "Two-Axis Target Rate Surface", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Two-Axis Target Rate Surface to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=age, group_col_2=loan, target_col=y.", + "bindings": { + "group_col": "age", + "group_col_2": "loan", + "target_col": "y", + "target_value": "yes", + "top_k": 10, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": -1.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS target_rate\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY target_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=cli", + "problem_index_within_template=6", + "sql_variant_index=1/2", + "binding_index=5" + ], + "template_selection_mode": "cli", + "selected_template_rank": 1, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_1d4905ea39ff85fa", + "problem_id": "v2p_m8_a3b312cdc3aadee7", + "dataset_id": "m8", + "template_id": "tpl_c2_two_dim_target_rate", + "template_name": "Two-Axis Target Rate Surface", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Two-Axis Target Rate Surface to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=age, group_col_2=loan, target_col=y.", + "bindings": { + "group_col": "age", + "group_col_2": "loan", + "target_col": "y", + "target_value": "yes", + "top_k": 15, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": -1.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS target_rate\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY target_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=cli", + "problem_index_within_template=6", + "sql_variant_index=2/2", + "binding_index=5" + ], + "template_selection_mode": "cli", + "selected_template_rank": 1, + "problem_index_within_template": 6, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_04e4e9943cd0e85a", + "problem_id": "v2p_m8_326ff255101594c4", + "dataset_id": "m8", + "template_id": "tpl_c2_two_dim_target_rate", + "template_name": "Two-Axis Target Rate Surface", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Two-Axis Target Rate Surface to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=age, group_col_2=contact, target_col=y.", + "bindings": { + "group_col": "age", + "group_col_2": "contact", + "target_col": "y", + "target_value": "no", + "top_k": 11, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS target_rate\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY target_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=cli", + "problem_index_within_template=7", + "sql_variant_index=1/2", + "binding_index=6" + ], + "template_selection_mode": "cli", + "selected_template_rank": 1, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_08a16bde255fd2bf", + "problem_id": "v2p_m8_94f904d0f3d1f8b5", + "dataset_id": "m8", + "template_id": "tpl_c2_two_dim_target_rate", + "template_name": "Two-Axis Target Rate Surface", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Two-Axis Target Rate Surface to probe dependency_strength_similarity with semantic role ranked_signal_view. Focus on group_col=age, group_col_2=contact, target_col=y.", + "bindings": { + "group_col": "age", + "group_col_2": "contact", + "target_col": "y", + "target_value": "no", + "top_k": 16, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS target_rate\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY target_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=cli", + "problem_index_within_template=7", + "sql_variant_index=2/2", + "binding_index=6" + ], + "template_selection_mode": "cli", + "selected_template_rank": 1, + "problem_index_within_template": 7, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_41f70cc55b045bf1", + "problem_id": "v2p_m8_0b399a1c8ea15b8b", + "dataset_id": "m8", + "template_id": "tpl_c2_two_dim_target_rate", + "template_name": "Two-Axis Target Rate Surface", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Two-Axis Target Rate Surface to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=age, group_col_2=day, target_col=y.", + "bindings": { + "group_col": "age", + "group_col_2": "day", + "target_col": "y", + "target_value": "yes", + "top_k": 12, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 48.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS target_rate\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY target_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=cli", + "problem_index_within_template=8", + "sql_variant_index=1/2", + "binding_index=7" + ], + "template_selection_mode": "cli", + "selected_template_rank": 1, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_491cfa9baa48667e", + "problem_id": "v2p_m8_dcf0eb164c29a687", + "dataset_id": "m8", + "template_id": "tpl_c2_two_dim_target_rate", + "template_name": "Two-Axis Target Rate Surface", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Two-Axis Target Rate Surface to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=age, group_col_2=day, target_col=y.", + "bindings": { + "group_col": "age", + "group_col_2": "day", + "target_col": "y", + "target_value": "yes", + "top_k": 17, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 48.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS target_rate\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY target_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=cli", + "problem_index_within_template=8", + "sql_variant_index=2/2", + "binding_index=7" + ], + "template_selection_mode": "cli", + "selected_template_rank": 1, + "problem_index_within_template": 8, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_4f4a603dc1b365c6", + "problem_id": "v2p_m8_62796a0026ce6e1a", + "dataset_id": "m8", + "template_id": "tpl_c2_two_dim_target_rate", + "template_name": "Two-Axis Target Rate Surface", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Two-Axis Target Rate Surface to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=age, group_col_2=month, target_col=y.", + "bindings": { + "group_col": "age", + "group_col_2": "month", + "target_col": "y", + "target_value": "no", + "top_k": 13, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 1428.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS target_rate\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY target_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=cli", + "problem_index_within_template=9", + "sql_variant_index=1/2", + "binding_index=8" + ], + "template_selection_mode": "cli", + "selected_template_rank": 1, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_f528ce7c11f41cfd", + "problem_id": "v2p_m8_244d71cab7ea5a4a", + "dataset_id": "m8", + "template_id": "tpl_c2_two_dim_target_rate", + "template_name": "Two-Axis Target Rate Surface", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Two-Axis Target Rate Surface to probe dependency_strength_similarity with semantic role ranked_signal_view. Focus on group_col=age, group_col_2=month, target_col=y.", + "bindings": { + "group_col": "age", + "group_col_2": "month", + "target_col": "y", + "target_value": "no", + "top_k": 18, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 1428.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS target_rate\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY target_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=cli", + "problem_index_within_template=9", + "sql_variant_index=2/2", + "binding_index=8" + ], + "template_selection_mode": "cli", + "selected_template_rank": 1, + "problem_index_within_template": 9, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_f357c16e5f0fe200", + "problem_id": "v2p_m8_01ce6bad031470a9", + "dataset_id": "m8", + "template_id": "tpl_c2_two_dim_target_rate", + "template_name": "Two-Axis Target Rate Surface", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Two-Axis Target Rate Surface to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=age, group_col_2=campaign, target_col=y.", + "bindings": { + "group_col": "age", + "group_col_2": "campaign", + "target_col": "y", + "target_value": "yes", + "top_k": 14, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 21.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS target_rate\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY target_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=cli", + "problem_index_within_template=10", + "sql_variant_index=1/2", + "binding_index=9" + ], + "template_selection_mode": "cli", + "selected_template_rank": 1, + "problem_index_within_template": 10, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_0a9994130c6312ca", + "problem_id": "v2p_m8_b15adb9770275719", + "dataset_id": "m8", + "template_id": "tpl_c2_two_dim_target_rate", + "template_name": "Two-Axis Target Rate Surface", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Two-Axis Target Rate Surface to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=age, group_col_2=campaign, target_col=y.", + "bindings": { + "group_col": "age", + "group_col_2": "campaign", + "target_col": "y", + "target_value": "yes", + "top_k": 19, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 21.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS target_rate\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY target_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=cli", + "problem_index_within_template=10", + "sql_variant_index=2/2", + "binding_index=9" + ], + "template_selection_mode": "cli", + "selected_template_rank": 1, + "problem_index_within_template": 10, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_5901d1e1a15c4839", + "problem_id": "v2p_m8_190e161351886dcd", + "dataset_id": "m8", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=previous, condition_col=loan.", + "bindings": { + "group_col": "previous", + "condition_col": "loan", + "condition_value": "no", + "positive_value": "no", + "negative_value": "yes", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": -1.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=cli", + "problem_index_within_template=1", + "sql_variant_index=1/2", + "binding_index=12" + ], + "template_selection_mode": "cli", + "selected_template_rank": 2, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_13dbf6eac0209d30", + "problem_id": "v2p_m8_ecf86f5f7bab8139", + "dataset_id": "m8", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=previous, condition_col=loan.", + "bindings": { + "group_col": "previous", + "condition_col": "loan", + "condition_value": "yes", + "positive_value": "no", + "negative_value": "yes", + "top_k": 17, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": -1.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=cli", + "problem_index_within_template=1", + "sql_variant_index=2/2", + "binding_index=12" + ], + "template_selection_mode": "cli", + "selected_template_rank": 2, + "problem_index_within_template": 1, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_e2ea3143810c4ec8", + "problem_id": "v2p_m8_284e637efc28e0ab", + "dataset_id": "m8", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=poutcome, condition_col=contact.", + "bindings": { + "group_col": "poutcome", + "condition_col": "contact", + "condition_value": "cellular", + "positive_value": "cellular", + "negative_value": "unknown", + "top_k": 13, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=cli", + "problem_index_within_template=2", + "sql_variant_index=1/2", + "binding_index=13" + ], + "template_selection_mode": "cli", + "selected_template_rank": 2, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_35f5640859757ac6", + "problem_id": "v2p_m8_9157d17da637130a", + "dataset_id": "m8", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=poutcome, condition_col=contact.", + "bindings": { + "group_col": "poutcome", + "condition_col": "contact", + "condition_value": "unknown", + "positive_value": "cellular", + "negative_value": "unknown", + "top_k": 18, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=cli", + "problem_index_within_template=2", + "sql_variant_index=2/2", + "binding_index=13" + ], + "template_selection_mode": "cli", + "selected_template_rank": 2, + "problem_index_within_template": 2, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_ae56d33b9e673ccf", + "problem_id": "v2p_m8_731890e8ac59f499", + "dataset_id": "m8", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=y, condition_col=poutcome.", + "bindings": { + "group_col": "y", + "condition_col": "poutcome", + "condition_value": "unknown", + "positive_value": "unknown", + "negative_value": "failure", + "top_k": 14, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 48.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=cli", + "problem_index_within_template=3", + "sql_variant_index=1/2", + "binding_index=14" + ], + "template_selection_mode": "cli", + "selected_template_rank": 2, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_c6ceb2911c97ff99", + "problem_id": "v2p_m8_60dfd5c3af9adbc1", + "dataset_id": "m8", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=y, condition_col=poutcome.", + "bindings": { + "group_col": "y", + "condition_col": "poutcome", + "condition_value": "failure", + "positive_value": "unknown", + "negative_value": "failure", + "top_k": 19, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 48.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=cli", + "problem_index_within_template=3", + "sql_variant_index=2/2", + "binding_index=14" + ], + "template_selection_mode": "cli", + "selected_template_rank": 2, + "problem_index_within_template": 3, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_0ccb8eda9017b026", + "problem_id": "v2p_m8_4887164715f08562", + "dataset_id": "m8", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=age, condition_col=y.", + "bindings": { + "group_col": "age", + "condition_col": "y", + "condition_value": "no", + "positive_value": "no", + "negative_value": "yes", + "top_k": 10, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 1428.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=cli", + "problem_index_within_template=4", + "sql_variant_index=1/2", + "binding_index=15" + ], + "template_selection_mode": "cli", + "selected_template_rank": 2, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_d2d8e90c8e0cc293", + "problem_id": "v2p_m8_2d997a5c66a44aa0", + "dataset_id": "m8", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=age, condition_col=y.", + "bindings": { + "group_col": "age", + "condition_col": "y", + "condition_value": "yes", + "positive_value": "no", + "negative_value": "yes", + "top_k": 15, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 1428.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=cli", + "problem_index_within_template=4", + "sql_variant_index=2/2", + "binding_index=15" + ], + "template_selection_mode": "cli", + "selected_template_rank": 2, + "problem_index_within_template": 4, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_ebba4e1e93214e79", + "problem_id": "v2p_m8_ddc6a70439ef7a80", + "dataset_id": "m8", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=job, condition_col=marital.", + "bindings": { + "group_col": "job", + "condition_col": "marital", + "condition_value": "married", + "positive_value": "married", + "negative_value": "single", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 21.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=cli", + "problem_index_within_template=5", + "sql_variant_index=1/2", + "binding_index=16" + ], + "template_selection_mode": "cli", + "selected_template_rank": 2, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_67226cc279ba56d4", + "problem_id": "v2p_m8_295fb4ed6c6ce027", + "dataset_id": "m8", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=job, condition_col=marital.", + "bindings": { + "group_col": "job", + "condition_col": "marital", + "condition_value": "single", + "positive_value": "married", + "negative_value": "single", + "top_k": 16, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 21.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=cli", + "problem_index_within_template=5", + "sql_variant_index=2/2", + "binding_index=16" + ], + "template_selection_mode": "cli", + "selected_template_rank": 2, + "problem_index_within_template": 5, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_9b866509461242a6", + "problem_id": "v2p_m8_a6cb99584c3a6dd9", + "dataset_id": "m8", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=marital, condition_col=education.", + "bindings": { + "group_col": "marital", + "condition_col": "education", + "condition_value": "secondary", + "positive_value": "secondary", + "negative_value": "tertiary", + "top_k": 12, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 319.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=cli", + "problem_index_within_template=6", + "sql_variant_index=1/2", + "binding_index=17" + ], + "template_selection_mode": "cli", + "selected_template_rank": 2, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_4a7d2e4c918ef1d4", + "problem_id": "v2p_m8_235689f11f338ee9", + "dataset_id": "m8", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=marital, condition_col=education.", + "bindings": { + "group_col": "marital", + "condition_col": "education", + "condition_value": "tertiary", + "positive_value": "secondary", + "negative_value": "tertiary", + "top_k": 17, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 319.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=cli", + "problem_index_within_template=6", + "sql_variant_index=2/2", + "binding_index=17" + ], + "template_selection_mode": "cli", + "selected_template_rank": 2, + "problem_index_within_template": 6, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_bd9466ab8f8dd822", + "problem_id": "v2p_m8_720426378071037e", + "dataset_id": "m8", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=education, condition_col=default.", + "bindings": { + "group_col": "education", + "condition_col": "default", + "condition_value": "no", + "positive_value": "no", + "negative_value": "yes", + "top_k": 13, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=cli", + "problem_index_within_template=7", + "sql_variant_index=1/2", + "binding_index=18" + ], + "template_selection_mode": "cli", + "selected_template_rank": 2, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_f3a91a7b20176ba0", + "problem_id": "v2p_m8_9114ddd939ee3c9c", + "dataset_id": "m8", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=education, condition_col=default.", + "bindings": { + "group_col": "education", + "condition_col": "default", + "condition_value": "yes", + "positive_value": "no", + "negative_value": "yes", + "top_k": 18, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=cli", + "problem_index_within_template=7", + "sql_variant_index=2/2", + "binding_index=18" + ], + "template_selection_mode": "cli", + "selected_template_rank": 2, + "problem_index_within_template": 7, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_51804ad32ff3fbcf", + "problem_id": "v2p_m8_0b0ee8ceac1044d7", + "dataset_id": "m8", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=default, condition_col=housing.", + "bindings": { + "group_col": "default", + "condition_col": "housing", + "condition_value": "yes", + "positive_value": "yes", + "negative_value": "no", + "top_k": 14, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": -1.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=cli", + "problem_index_within_template=8", + "sql_variant_index=1/2", + "binding_index=19" + ], + "template_selection_mode": "cli", + "selected_template_rank": 2, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_3772f018e2803658", + "problem_id": "v2p_m8_7c8f83c1cfae562f", + "dataset_id": "m8", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=default, condition_col=housing.", + "bindings": { + "group_col": "default", + "condition_col": "housing", + "condition_value": "no", + "positive_value": "yes", + "negative_value": "no", + "top_k": 19, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": -1.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=cli", + "problem_index_within_template=8", + "sql_variant_index=2/2", + "binding_index=19" + ], + "template_selection_mode": "cli", + "selected_template_rank": 2, + "problem_index_within_template": 8, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_82461511661b0c08", + "problem_id": "v2p_m8_4ab792531b746566", + "dataset_id": "m8", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=housing, condition_col=loan.", + "bindings": { + "group_col": "housing", + "condition_col": "loan", + "condition_value": "no", + "positive_value": "no", + "negative_value": "yes", + "top_k": 10, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=cli", + "problem_index_within_template=9", + "sql_variant_index=1/2", + "binding_index=20" + ], + "template_selection_mode": "cli", + "selected_template_rank": 2, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_55157642070fbc59", + "problem_id": "v2p_m8_1def1742d9bad92b", + "dataset_id": "m8", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=housing, condition_col=loan.", + "bindings": { + "group_col": "housing", + "condition_col": "loan", + "condition_value": "yes", + "positive_value": "no", + "negative_value": "yes", + "top_k": 15, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=cli", + "problem_index_within_template=9", + "sql_variant_index=2/2", + "binding_index=20" + ], + "template_selection_mode": "cli", + "selected_template_rank": 2, + "problem_index_within_template": 9, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_15069026aa309f65", + "problem_id": "v2p_m8_dc1351f7142391de", + "dataset_id": "m8", + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "contrastive_conditional_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=month, condition_col=marital.", + "bindings": { + "group_col": "month", + "condition_col": "marital", + "condition_value": "married", + "positive_value": "married", + "negative_value": "single", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 319.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=cli", + "problem_index_within_template=1", + "sql_variant_index=1/1", + "binding_index=24" + ], + "template_selection_mode": "cli", + "selected_template_rank": 3, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_e98ce9385a7f3dc5", + "problem_id": "v2p_m8_dfc5ccc9d465781d", + "dataset_id": "m8", + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "contrastive_conditional_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=campaign, condition_col=education.", + "bindings": { + "group_col": "campaign", + "condition_col": "education", + "condition_value": "secondary", + "positive_value": "secondary", + "negative_value": "tertiary", + "top_k": 10, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=cli", + "problem_index_within_template=2", + "sql_variant_index=1/1", + "binding_index=25" + ], + "template_selection_mode": "cli", + "selected_template_rank": 3, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_ff33de1157eb578f", + "problem_id": "v2p_m8_ac3e1fa9d2d13759", + "dataset_id": "m8", + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "contrastive_conditional_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=pdays, condition_col=default.", + "bindings": { + "group_col": "pdays", + "condition_col": "default", + "condition_value": "no", + "positive_value": "no", + "negative_value": "yes", + "top_k": 11, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": -1.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=cli", + "problem_index_within_template=3", + "sql_variant_index=1/1", + "binding_index=26" + ], + "template_selection_mode": "cli", + "selected_template_rank": 3, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_5346f232ccf26eb3", + "problem_id": "v2p_m8_27a1a496f3391d57", + "dataset_id": "m8", + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "contrastive_conditional_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=previous, condition_col=housing.", + "bindings": { + "group_col": "previous", + "condition_col": "housing", + "condition_value": "yes", + "positive_value": "yes", + "negative_value": "no", + "top_k": 12, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=cli", + "problem_index_within_template=4", + "sql_variant_index=1/1", + "binding_index=27" + ], + "template_selection_mode": "cli", + "selected_template_rank": 3, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_eb074934dc4a3778", + "problem_id": "v2p_m8_73fd49cebf5affc2", + "dataset_id": "m8", + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "contrastive_conditional_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=poutcome, condition_col=loan.", + "bindings": { + "group_col": "poutcome", + "condition_col": "loan", + "condition_value": "no", + "positive_value": "no", + "negative_value": "yes", + "top_k": 13, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 48.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=cli", + "problem_index_within_template=5", + "sql_variant_index=1/1", + "binding_index=28" + ], + "template_selection_mode": "cli", + "selected_template_rank": 3, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_37fc2afd65e42708", + "problem_id": "v2p_m8_67ddbc60a60a60f5", + "dataset_id": "m8", + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "contrastive_conditional_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=y, condition_col=contact.", + "bindings": { + "group_col": "y", + "condition_col": "contact", + "condition_value": "cellular", + "positive_value": "cellular", + "negative_value": "unknown", + "top_k": 14, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 1428.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=cli", + "problem_index_within_template=6", + "sql_variant_index=1/1", + "binding_index=29" + ], + "template_selection_mode": "cli", + "selected_template_rank": 3, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_f4c270b1881320c2", + "problem_id": "v2p_m8_0a5a409926f45e56", + "dataset_id": "m8", + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "contrastive_conditional_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=age, condition_col=poutcome.", + "bindings": { + "group_col": "age", + "condition_col": "poutcome", + "condition_value": "unknown", + "positive_value": "unknown", + "negative_value": "failure", + "top_k": 10, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 21.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=cli", + "problem_index_within_template=7", + "sql_variant_index=1/1", + "binding_index=30" + ], + "template_selection_mode": "cli", + "selected_template_rank": 3, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_b87a8f18f4643ffb", + "problem_id": "v2p_m8_3506a62746c902b9", + "dataset_id": "m8", + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "contrastive_conditional_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=job, condition_col=y.", + "bindings": { + "group_col": "job", + "condition_col": "y", + "condition_value": "no", + "positive_value": "no", + "negative_value": "yes", + "top_k": 11, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 319.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=cli", + "problem_index_within_template=8", + "sql_variant_index=1/1", + "binding_index=31" + ], + "template_selection_mode": "cli", + "selected_template_rank": 3, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_f922197fbfbe6f21", + "problem_id": "v2p_m8_ce67b6c3c15bb6c8", + "dataset_id": "m8", + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "contrastive_conditional_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=marital, condition_col=marital.", + "bindings": { + "group_col": "marital", + "condition_col": "marital", + "condition_value": "married", + "positive_value": "married", + "negative_value": "single", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=cli", + "problem_index_within_template=9", + "sql_variant_index=1/1", + "binding_index=32" + ], + "template_selection_mode": "cli", + "selected_template_rank": 3, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_be1225b40f8db6b7", + "problem_id": "v2p_m8_42b6ece90d0a407a", + "dataset_id": "m8", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=loan, measure_col=balance.", + "bindings": { + "group_col": "loan", + "measure_col": "balance", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 1428.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=cli", + "problem_index_within_template=1", + "sql_variant_index=1/2", + "binding_index=36" + ], + "template_selection_mode": "cli", + "selected_template_rank": 4, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_020ba9713fbfe5b4", + "problem_id": "v2p_m8_03c98cd1957d3554", + "dataset_id": "m8", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=loan, measure_col=balance.", + "bindings": { + "group_col": "loan", + "measure_col": "balance", + "top_k": 16, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 927.6, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=cli", + "problem_index_within_template=1", + "sql_variant_index=2/2", + "binding_index=36" + ], + "template_selection_mode": "cli", + "selected_template_rank": 4, + "problem_index_within_template": 1, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_9d7814451d28f7ea", + "problem_id": "v2p_m8_41eb6fe978be461c", + "dataset_id": "m8", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=contact, measure_col=day.", + "bindings": { + "group_col": "contact", + "measure_col": "day", + "top_k": 12, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 21.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=cli", + "problem_index_within_template=2", + "sql_variant_index=1/2", + "binding_index=37" + ], + "template_selection_mode": "cli", + "selected_template_rank": 4, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_cfdf8e000c4100d9", + "problem_id": "v2p_m8_6961c7ccd9fd42a5", + "dataset_id": "m8", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=contact, measure_col=day.", + "bindings": { + "group_col": "contact", + "measure_col": "day", + "top_k": 17, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 20.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=cli", + "problem_index_within_template=2", + "sql_variant_index=2/2", + "binding_index=37" + ], + "template_selection_mode": "cli", + "selected_template_rank": 4, + "problem_index_within_template": 2, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_685aced32428dd75", + "problem_id": "v2p_m8_f21370f5570d29a4", + "dataset_id": "m8", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=day, measure_col=duration.", + "bindings": { + "group_col": "day", + "measure_col": "duration", + "top_k": 13, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 319.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=cli", + "problem_index_within_template=3", + "sql_variant_index=1/2", + "binding_index=38" + ], + "template_selection_mode": "cli", + "selected_template_rank": 4, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_15fdb82030568ad8", + "problem_id": "v2p_m8_9e6003c7eea79c78", + "dataset_id": "m8", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=day, measure_col=duration.", + "bindings": { + "group_col": "day", + "measure_col": "duration", + "top_k": 18, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 254.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=cli", + "problem_index_within_template=3", + "sql_variant_index=2/2", + "binding_index=38" + ], + "template_selection_mode": "cli", + "selected_template_rank": 4, + "problem_index_within_template": 3, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_1074645e9365bfdf", + "problem_id": "v2p_m8_5849b3107cdb84f0", + "dataset_id": "m8", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=month, measure_col=campaign.", + "bindings": { + "group_col": "month", + "measure_col": "campaign", + "top_k": 14, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=cli", + "problem_index_within_template=4", + "sql_variant_index=1/2", + "binding_index=39" + ], + "template_selection_mode": "cli", + "selected_template_rank": 4, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_2bc9b154ad0c1404", + "problem_id": "v2p_m8_f7226c083e0b458d", + "dataset_id": "m8", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=month, measure_col=campaign.", + "bindings": { + "group_col": "month", + "measure_col": "campaign", + "top_k": 19, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=cli", + "problem_index_within_template=4", + "sql_variant_index=2/2", + "binding_index=39" + ], + "template_selection_mode": "cli", + "selected_template_rank": 4, + "problem_index_within_template": 4, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_14c5f1cf4008046a", + "problem_id": "v2p_m8_414be0e3de56ee4d", + "dataset_id": "m8", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=campaign, measure_col=pdays.", + "bindings": { + "group_col": "campaign", + "measure_col": "pdays", + "top_k": 10, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": -1.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=cli", + "problem_index_within_template=5", + "sql_variant_index=1/2", + "binding_index=40" + ], + "template_selection_mode": "cli", + "selected_template_rank": 4, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_e6fe16b56297d581", + "problem_id": "v2p_m8_645faa52361c451a", + "dataset_id": "m8", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=campaign, measure_col=pdays.", + "bindings": { + "group_col": "campaign", + "measure_col": "pdays", + "top_k": 15, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": -1.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=cli", + "problem_index_within_template=5", + "sql_variant_index=2/2", + "binding_index=40" + ], + "template_selection_mode": "cli", + "selected_template_rank": 4, + "problem_index_within_template": 5, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_6f54b58b75f6af39", + "problem_id": "v2p_m8_810cdfb441d41638", + "dataset_id": "m8", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=pdays, measure_col=previous.", + "bindings": { + "group_col": "pdays", + "measure_col": "previous", + "top_k": 11, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=cli", + "problem_index_within_template=6", + "sql_variant_index=1/2", + "binding_index=41" + ], + "template_selection_mode": "cli", + "selected_template_rank": 4, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_eb709b90739f5207", + "problem_id": "v2p_m8_a0c116ce849580cd", + "dataset_id": "m8", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=pdays, measure_col=previous.", + "bindings": { + "group_col": "pdays", + "measure_col": "previous", + "top_k": 16, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=cli", + "problem_index_within_template=6", + "sql_variant_index=2/2", + "binding_index=41" + ], + "template_selection_mode": "cli", + "selected_template_rank": 4, + "problem_index_within_template": 6, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_1d20a5f5bbec8342", + "problem_id": "v2p_m8_fe0c85accfaed212", + "dataset_id": "m8", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=previous, measure_col=age.", + "bindings": { + "group_col": "previous", + "measure_col": "age", + "top_k": 12, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 48.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=cli", + "problem_index_within_template=7", + "sql_variant_index=1/2", + "binding_index=42" + ], + "template_selection_mode": "cli", + "selected_template_rank": 4, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_85ded951f5c904a5", + "problem_id": "v2p_m8_44def1f3e059b64c", + "dataset_id": "m8", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=previous, measure_col=age.", + "bindings": { + "group_col": "previous", + "measure_col": "age", + "top_k": 17, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 45.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=cli", + "problem_index_within_template=7", + "sql_variant_index=2/2", + "binding_index=42" + ], + "template_selection_mode": "cli", + "selected_template_rank": 4, + "problem_index_within_template": 7, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_ca3d0e2aaa864f9f", + "problem_id": "v2p_m8_0367a15032e1cdd2", + "dataset_id": "m8", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=poutcome, measure_col=balance.", + "bindings": { + "group_col": "poutcome", + "measure_col": "balance", + "top_k": 13, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 1428.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=cli", + "problem_index_within_template=8", + "sql_variant_index=1/2", + "binding_index=43" + ], + "template_selection_mode": "cli", + "selected_template_rank": 4, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_09232d85cd9436af", + "problem_id": "v2p_m8_1ff8d4b29ec7e897", + "dataset_id": "m8", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=poutcome, measure_col=balance.", + "bindings": { + "group_col": "poutcome", + "measure_col": "balance", + "top_k": 18, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 927.6, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=cli", + "problem_index_within_template=8", + "sql_variant_index=2/2", + "binding_index=43" + ], + "template_selection_mode": "cli", + "selected_template_rank": 4, + "problem_index_within_template": 8, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_2b30c9a273144731", + "problem_id": "v2p_m8_5c0ab27493c28091", + "dataset_id": "m8", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=y, measure_col=day.", + "bindings": { + "group_col": "y", + "measure_col": "day", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 21.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=cli", + "problem_index_within_template=9", + "sql_variant_index=1/2", + "binding_index=44" + ], + "template_selection_mode": "cli", + "selected_template_rank": 4, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_2fed13e35037392d", + "problem_id": "v2p_m8_4763425c22cda119", + "dataset_id": "m8", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=y, measure_col=day.", + "bindings": { + "group_col": "y", + "measure_col": "day", + "top_k": 19, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 20.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=cli", + "problem_index_within_template=9", + "sql_variant_index=2/2", + "binding_index=44" + ], + "template_selection_mode": "cli", + "selected_template_rank": 4, + "problem_index_within_template": 9, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_3f00b77c5c8b1958", + "problem_id": "v2p_m8_28268bafc4914485", + "dataset_id": "m8", + "template_id": "tpl_conditional_group_quantiles", + "template_name": "Conditional Group Quantiles", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Conditional Group Quantiles to probe slice_level_consistency with semantic role focused_target_view. Focus on group_col=education, measure_col=previous, condition_col=marital.", + "bindings": { + "group_col": "education", + "measure_col": "previous", + "condition_col": "marital", + "condition_value": "married", + "positive_value": "married", + "negative_value": "single", + "top_k": 13, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col})\n FILTER (WHERE {condition_col} = {condition_value}) AS conditional_percentile\nFROM {table}\nGROUP BY {group_col}\nORDER BY conditional_percentile DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=cli", + "problem_index_within_template=1", + "sql_variant_index=1/2", + "binding_index=48" + ], + "template_selection_mode": "cli", + "selected_template_rank": 5, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_ed07aa6104256d42", + "problem_id": "v2p_m8_162f9c3a5b029cdc", + "dataset_id": "m8", + "template_id": "tpl_conditional_group_quantiles", + "template_name": "Conditional Group Quantiles", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Conditional Group Quantiles to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=education, measure_col=previous, condition_col=marital.", + "bindings": { + "group_col": "education", + "measure_col": "previous", + "condition_col": "marital", + "condition_value": "single", + "positive_value": "married", + "negative_value": "single", + "top_k": 18, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col})\n FILTER (WHERE {condition_col} = {condition_value}) AS conditional_percentile\nFROM {table}\nGROUP BY {group_col}\nORDER BY conditional_percentile DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=cli", + "problem_index_within_template=1", + "sql_variant_index=2/2", + "binding_index=48" + ], + "template_selection_mode": "cli", + "selected_template_rank": 5, + "problem_index_within_template": 1, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_a50b795ef0bc15e3", + "problem_id": "v2p_m8_8d8b48915ae1be41", + "dataset_id": "m8", + "template_id": "tpl_conditional_group_quantiles", + "template_name": "Conditional Group Quantiles", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Conditional Group Quantiles to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=default, measure_col=age, condition_col=education.", + "bindings": { + "group_col": "default", + "measure_col": "age", + "condition_col": "education", + "condition_value": "secondary", + "positive_value": "secondary", + "negative_value": "tertiary", + "top_k": 14, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 48.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col})\n FILTER (WHERE {condition_col} = {condition_value}) AS conditional_percentile\nFROM {table}\nGROUP BY {group_col}\nORDER BY conditional_percentile DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=cli", + "problem_index_within_template=2", + "sql_variant_index=1/1", + "binding_index=49" + ], + "template_selection_mode": "cli", + "selected_template_rank": 5, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_e477f8fe90e9e570", + "problem_id": "v2p_m8_aa52b64e7542c2f4", + "dataset_id": "m8", + "template_id": "tpl_conditional_group_quantiles", + "template_name": "Conditional Group Quantiles", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Conditional Group Quantiles to probe slice_level_consistency with semantic role focused_target_view. Focus on group_col=housing, measure_col=balance, condition_col=default.", + "bindings": { + "group_col": "housing", + "measure_col": "balance", + "condition_col": "default", + "condition_value": "no", + "positive_value": "no", + "negative_value": "yes", + "top_k": 10, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 1428.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col})\n FILTER (WHERE {condition_col} = {condition_value}) AS conditional_percentile\nFROM {table}\nGROUP BY {group_col}\nORDER BY conditional_percentile DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=cli", + "problem_index_within_template=3", + "sql_variant_index=1/2", + "binding_index=50" + ], + "template_selection_mode": "cli", + "selected_template_rank": 5, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_9225e0d926f086bf", + "problem_id": "v2p_m8_4237ef81370e86b9", + "dataset_id": "m8", + "template_id": "tpl_conditional_group_quantiles", + "template_name": "Conditional Group Quantiles", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Conditional Group Quantiles to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=housing, measure_col=balance, condition_col=default.", + "bindings": { + "group_col": "housing", + "measure_col": "balance", + "condition_col": "default", + "condition_value": "yes", + "positive_value": "no", + "negative_value": "yes", + "top_k": 15, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 927.6, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col})\n FILTER (WHERE {condition_col} = {condition_value}) AS conditional_percentile\nFROM {table}\nGROUP BY {group_col}\nORDER BY conditional_percentile DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=cli", + "problem_index_within_template=3", + "sql_variant_index=2/2", + "binding_index=50" + ], + "template_selection_mode": "cli", + "selected_template_rank": 5, + "problem_index_within_template": 3, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_07a88f88bc78b9f0", + "problem_id": "v2p_m8_ae2527111453e76f", + "dataset_id": "m8", + "template_id": "tpl_conditional_group_quantiles", + "template_name": "Conditional Group Quantiles", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Conditional Group Quantiles to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=loan, measure_col=day, condition_col=housing.", + "bindings": { + "group_col": "loan", + "measure_col": "day", + "condition_col": "housing", + "condition_value": "yes", + "positive_value": "yes", + "negative_value": "no", + "top_k": 11, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 21.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col})\n FILTER (WHERE {condition_col} = {condition_value}) AS conditional_percentile\nFROM {table}\nGROUP BY {group_col}\nORDER BY conditional_percentile DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=cli", + "problem_index_within_template=4", + "sql_variant_index=1/1", + "binding_index=51" + ], + "template_selection_mode": "cli", + "selected_template_rank": 5, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_6e79dc01aadc1fa0", + "problem_id": "v2p_m8_1ceaafc443607b06", + "dataset_id": "m8", + "template_id": "tpl_conditional_group_quantiles", + "template_name": "Conditional Group Quantiles", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Conditional Group Quantiles to probe slice_level_consistency with semantic role focused_target_view. Focus on group_col=contact, measure_col=duration, condition_col=loan.", + "bindings": { + "group_col": "contact", + "measure_col": "duration", + "condition_col": "loan", + "condition_value": "no", + "positive_value": "no", + "negative_value": "yes", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 319.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col})\n FILTER (WHERE {condition_col} = {condition_value}) AS conditional_percentile\nFROM {table}\nGROUP BY {group_col}\nORDER BY conditional_percentile DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=cli", + "problem_index_within_template=5", + "sql_variant_index=1/2", + "binding_index=52" + ], + "template_selection_mode": "cli", + "selected_template_rank": 5, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_89eef9e84d2a6d79", + "problem_id": "v2p_m8_00858998cb78853d", + "dataset_id": "m8", + "template_id": "tpl_conditional_group_quantiles", + "template_name": "Conditional Group Quantiles", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Conditional Group Quantiles to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=contact, measure_col=duration, condition_col=loan.", + "bindings": { + "group_col": "contact", + "measure_col": "duration", + "condition_col": "loan", + "condition_value": "yes", + "positive_value": "no", + "negative_value": "yes", + "top_k": 17, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 254.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col})\n FILTER (WHERE {condition_col} = {condition_value}) AS conditional_percentile\nFROM {table}\nGROUP BY {group_col}\nORDER BY conditional_percentile DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=cli", + "problem_index_within_template=5", + "sql_variant_index=2/2", + "binding_index=52" + ], + "template_selection_mode": "cli", + "selected_template_rank": 5, + "problem_index_within_template": 5, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_8cb6185ebdf8a4a5", + "problem_id": "v2p_m8_43f68d09d07bf357", + "dataset_id": "m8", + "template_id": "tpl_conditional_group_quantiles", + "template_name": "Conditional Group Quantiles", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Conditional Group Quantiles to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=day, measure_col=campaign, condition_col=contact.", + "bindings": { + "group_col": "day", + "measure_col": "campaign", + "condition_col": "contact", + "condition_value": "cellular", + "positive_value": "cellular", + "negative_value": "unknown", + "top_k": 13, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col})\n FILTER (WHERE {condition_col} = {condition_value}) AS conditional_percentile\nFROM {table}\nGROUP BY {group_col}\nORDER BY conditional_percentile DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=cli", + "problem_index_within_template=6", + "sql_variant_index=1/1", + "binding_index=53" + ], + "template_selection_mode": "cli", + "selected_template_rank": 5, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_3c503f7930f4744c", + "problem_id": "v2p_m8_b424c64efcdabc8a", + "dataset_id": "m8", + "template_id": "tpl_conditional_group_quantiles", + "template_name": "Conditional Group Quantiles", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Conditional Group Quantiles to probe slice_level_consistency with semantic role focused_target_view. Focus on group_col=month, measure_col=pdays, condition_col=poutcome.", + "bindings": { + "group_col": "month", + "measure_col": "pdays", + "condition_col": "poutcome", + "condition_value": "unknown", + "positive_value": "unknown", + "negative_value": "failure", + "top_k": 14, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": -1.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col})\n FILTER (WHERE {condition_col} = {condition_value}) AS conditional_percentile\nFROM {table}\nGROUP BY {group_col}\nORDER BY conditional_percentile DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=cli", + "problem_index_within_template=7", + "sql_variant_index=1/2", + "binding_index=54" + ], + "template_selection_mode": "cli", + "selected_template_rank": 5, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_84335085a98595ee", + "problem_id": "v2p_m8_698750049322137f", + "dataset_id": "m8", + "template_id": "tpl_conditional_group_quantiles", + "template_name": "Conditional Group Quantiles", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Conditional Group Quantiles to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=month, measure_col=pdays, condition_col=poutcome.", + "bindings": { + "group_col": "month", + "measure_col": "pdays", + "condition_col": "poutcome", + "condition_value": "failure", + "positive_value": "unknown", + "negative_value": "failure", + "top_k": 19, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": -1.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col})\n FILTER (WHERE {condition_col} = {condition_value}) AS conditional_percentile\nFROM {table}\nGROUP BY {group_col}\nORDER BY conditional_percentile DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=cli", + "problem_index_within_template=7", + "sql_variant_index=2/2", + "binding_index=54" + ], + "template_selection_mode": "cli", + "selected_template_rank": 5, + "problem_index_within_template": 7, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_20c0ab31a86d4d0c", + "problem_id": "v2p_m8_ed3307b928f53edd", + "dataset_id": "m8", + "template_id": "tpl_conditional_group_quantiles", + "template_name": "Conditional Group Quantiles", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Conditional Group Quantiles to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=campaign, measure_col=previous, condition_col=y.", + "bindings": { + "group_col": "campaign", + "measure_col": "previous", + "condition_col": "y", + "condition_value": "no", + "positive_value": "no", + "negative_value": "yes", + "top_k": 10, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col})\n FILTER (WHERE {condition_col} = {condition_value}) AS conditional_percentile\nFROM {table}\nGROUP BY {group_col}\nORDER BY conditional_percentile DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=cli", + "problem_index_within_template=8", + "sql_variant_index=1/1", + "binding_index=55" + ], + "template_selection_mode": "cli", + "selected_template_rank": 5, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_20badb6bdd2e6d2c", + "problem_id": "v2p_m8_678cd151580cccc0", + "dataset_id": "m8", + "template_id": "tpl_conditional_group_quantiles", + "template_name": "Conditional Group Quantiles", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Conditional Group Quantiles to probe slice_level_consistency with semantic role focused_target_view. Focus on group_col=pdays, measure_col=age, condition_col=marital.", + "bindings": { + "group_col": "pdays", + "measure_col": "age", + "condition_col": "marital", + "condition_value": "married", + "positive_value": "married", + "negative_value": "single", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 48.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col})\n FILTER (WHERE {condition_col} = {condition_value}) AS conditional_percentile\nFROM {table}\nGROUP BY {group_col}\nORDER BY conditional_percentile DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=cli", + "problem_index_within_template=9", + "sql_variant_index=1/2", + "binding_index=56" + ], + "template_selection_mode": "cli", + "selected_template_rank": 5, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_d3df3d37d76bcf6a", + "problem_id": "v2p_m8_8c28d17b446ff13f", + "dataset_id": "m8", + "template_id": "tpl_conditional_group_quantiles", + "template_name": "Conditional Group Quantiles", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Conditional Group Quantiles to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=pdays, measure_col=age, condition_col=marital.", + "bindings": { + "group_col": "pdays", + "measure_col": "age", + "condition_col": "marital", + "condition_value": "single", + "positive_value": "married", + "negative_value": "single", + "top_k": 16, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 45.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col})\n FILTER (WHERE {condition_col} = {condition_value}) AS conditional_percentile\nFROM {table}\nGROUP BY {group_col}\nORDER BY conditional_percentile DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=cli", + "problem_index_within_template=9", + "sql_variant_index=2/2", + "binding_index=56" + ], + "template_selection_mode": "cli", + "selected_template_rank": 5, + "problem_index_within_template": 9, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_df27021e4c61971f", + "problem_id": "v2p_m8_dcc70b81028d54cf", + "dataset_id": "m8", + "template_id": "tpl_conditional_group_quantiles", + "template_name": "Conditional Group Quantiles", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Conditional Group Quantiles to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=previous, measure_col=balance, condition_col=education.", + "bindings": { + "group_col": "previous", + "measure_col": "balance", + "condition_col": "education", + "condition_value": "secondary", + "positive_value": "secondary", + "negative_value": "tertiary", + "top_k": 12, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 1428.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col})\n FILTER (WHERE {condition_col} = {condition_value}) AS conditional_percentile\nFROM {table}\nGROUP BY {group_col}\nORDER BY conditional_percentile DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=cli", + "problem_index_within_template=10", + "sql_variant_index=1/1", + "binding_index=57" + ], + "template_selection_mode": "cli", + "selected_template_rank": 5, + "problem_index_within_template": 10, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_fd23ac10ebe22311", + "problem_id": "v2p_m8_3178860d89f91eb5", + "dataset_id": "m8", + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=age.", + "bindings": { + "group_col": "age", + "top_k": 10, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=cli", + "problem_index_within_template=1", + "sql_variant_index=1/1", + "binding_index=60" + ], + "template_selection_mode": "cli", + "selected_template_rank": 6, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_b7a4e9f0810fb722", + "problem_id": "v2p_m8_261b279f13eeb887", + "dataset_id": "m8", + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=job.", + "bindings": { + "group_col": "job", + "top_k": 11, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": -1.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=cli", + "problem_index_within_template=2", + "sql_variant_index=1/1", + "binding_index=61" + ], + "template_selection_mode": "cli", + "selected_template_rank": 6, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_7482c326faf2be4c", + "problem_id": "v2p_m8_fa53ae10099dff0c", + "dataset_id": "m8", + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=marital.", + "bindings": { + "group_col": "marital", + "top_k": 12, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=cli", + "problem_index_within_template=3", + "sql_variant_index=1/1", + "binding_index=62" + ], + "template_selection_mode": "cli", + "selected_template_rank": 6, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_e5f90519c09c84bb", + "problem_id": "v2p_m8_eea2e0e300b3aa56", + "dataset_id": "m8", + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=education.", + "bindings": { + "group_col": "education", + "top_k": 13, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 48.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=cli", + "problem_index_within_template=4", + "sql_variant_index=1/1", + "binding_index=63" + ], + "template_selection_mode": "cli", + "selected_template_rank": 6, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_f58077c73b8afea6", + "problem_id": "v2p_m8_40edf2f0c73cdb2d", + "dataset_id": "m8", + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=default.", + "bindings": { + "group_col": "default", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 1428.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=cli", + "problem_index_within_template=5", + "sql_variant_index=1/1", + "binding_index=64" + ], + "template_selection_mode": "cli", + "selected_template_rank": 6, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_0e05e8cc301be3a6", + "problem_id": "v2p_m8_62adb97f55c69d1f", + "dataset_id": "m8", + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=housing.", + "bindings": { + "group_col": "housing", + "top_k": 10, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 21.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=cli", + "problem_index_within_template=6", + "sql_variant_index=1/1", + "binding_index=65" + ], + "template_selection_mode": "cli", + "selected_template_rank": 6, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_60359a73bfb6855e", + "problem_id": "v2p_m8_65729f785365e397", + "dataset_id": "m8", + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=loan.", + "bindings": { + "group_col": "loan", + "top_k": 11, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 319.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=cli", + "problem_index_within_template=7", + "sql_variant_index=1/1", + "binding_index=66" + ], + "template_selection_mode": "cli", + "selected_template_rank": 6, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_e6ed2f46fbaf72bc", + "problem_id": "v2p_m8_e7d689abdf8bc9e2", + "dataset_id": "m8", + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=contact.", + "bindings": { + "group_col": "contact", + "top_k": 12, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=cli", + "problem_index_within_template=8", + "sql_variant_index=1/1", + "binding_index=67" + ], + "template_selection_mode": "cli", + "selected_template_rank": 6, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_cdd352e5c0f3d520", + "problem_id": "v2p_m8_d00331079b4f54cd", + "dataset_id": "m8", + "template_id": "tpl_clickbench_filtered_topk_group_count", + "template_name": "Filtered Top-k Group Count", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Filtered Top-k Group Count to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=previous.", + "bindings": { + "group_col": "previous", + "predicate_col": "default", + "predicate_op": "=", + "predicate_value": "no", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 21.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY support DESC\nLIMIT {top_k};", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=cli", + "problem_index_within_template=1", + "sql_variant_index=1/2", + "binding_index=72" + ], + "template_selection_mode": "cli", + "selected_template_rank": 7, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_bce06277a0dbf9c9", + "problem_id": "v2p_m8_61442fc576703559", + "dataset_id": "m8", + "template_id": "tpl_clickbench_filtered_topk_group_count", + "template_name": "Filtered Top-k Group Count", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Filtered Top-k Group Count to probe subgroup_size_stability with semantic role filtered_stable_view. Focus on group_col=previous.", + "bindings": { + "group_col": "previous", + "predicate_col": "contact", + "predicate_op": "=", + "predicate_value": "unknown", + "top_k": 17, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 21.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY support DESC\nLIMIT {top_k};", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=cli", + "problem_index_within_template=1", + "sql_variant_index=2/2", + "binding_index=72" + ], + "template_selection_mode": "cli", + "selected_template_rank": 7, + "problem_index_within_template": 1, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_9ed6a3f3f22eed26", + "problem_id": "v2p_m8_540f016bb375d686", + "dataset_id": "m8", + "template_id": "tpl_clickbench_filtered_topk_group_count", + "template_name": "Filtered Top-k Group Count", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Filtered Top-k Group Count to probe subgroup_size_stability with semantic role filtered_stable_view. Focus on group_col=poutcome.", + "bindings": { + "group_col": "poutcome", + "predicate_col": "balance", + "predicate_op": ">=", + "predicate_value": 1428.0, + "top_k": 13, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 319.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY support DESC\nLIMIT {top_k};", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=cli", + "problem_index_within_template=2", + "sql_variant_index=1/2", + "binding_index=73" + ], + "template_selection_mode": "cli", + "selected_template_rank": 7, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_142aa36d6c6d5ac0", + "problem_id": "v2p_m8_7b3ba183c439fbf1", + "dataset_id": "m8", + "template_id": "tpl_clickbench_filtered_topk_group_count", + "template_name": "Filtered Top-k Group Count", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Filtered Top-k Group Count to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=poutcome.", + "bindings": { + "group_col": "poutcome", + "predicate_col": "day", + "predicate_op": ">=", + "predicate_value": 21.0, + "top_k": 18, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 319.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY support DESC\nLIMIT {top_k};", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=cli", + "problem_index_within_template=2", + "sql_variant_index=2/2", + "binding_index=73" + ], + "template_selection_mode": "cli", + "selected_template_rank": 7, + "problem_index_within_template": 2, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_808a79701d8588d2", + "problem_id": "v2p_m8_6195b6dfb7a2492e", + "dataset_id": "m8", + "template_id": "tpl_clickbench_filtered_topk_group_count", + "template_name": "Filtered Top-k Group Count", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Filtered Top-k Group Count to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=y.", + "bindings": { + "group_col": "y", + "predicate_col": "housing", + "predicate_op": "=", + "predicate_value": "yes", + "top_k": 14, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY support DESC\nLIMIT {top_k};", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=cli", + "problem_index_within_template=3", + "sql_variant_index=1/2", + "binding_index=74" + ], + "template_selection_mode": "cli", + "selected_template_rank": 7, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_3f2129dbb77e37a8", + "problem_id": "v2p_m8_73eca960376d5714", + "dataset_id": "m8", + "template_id": "tpl_clickbench_filtered_topk_group_count", + "template_name": "Filtered Top-k Group Count", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Filtered Top-k Group Count to probe subgroup_size_stability with semantic role filtered_stable_view. Focus on group_col=y.", + "bindings": { + "group_col": "y", + "predicate_col": "month", + "predicate_op": "=", + "predicate_value": "feb", + "top_k": 19, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY support DESC\nLIMIT {top_k};", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=cli", + "problem_index_within_template=3", + "sql_variant_index=2/2", + "binding_index=74" + ], + "template_selection_mode": "cli", + "selected_template_rank": 7, + "problem_index_within_template": 3, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_f275dd6948a96ee8", + "problem_id": "v2p_m8_724538c5ad4c53fb", + "dataset_id": "m8", + "template_id": "tpl_clickbench_filtered_topk_group_count", + "template_name": "Filtered Top-k Group Count", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Filtered Top-k Group Count to probe subgroup_size_stability with semantic role filtered_stable_view. Focus on group_col=age.", + "bindings": { + "group_col": "age", + "predicate_col": "loan", + "predicate_op": "=", + "predicate_value": "yes", + "top_k": 10, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": -1.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY support DESC\nLIMIT {top_k};", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=cli", + "problem_index_within_template=4", + "sql_variant_index=1/2", + "binding_index=75" + ], + "template_selection_mode": "cli", + "selected_template_rank": 7, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_ae435090c92ccd5e", + "problem_id": "v2p_m8_f5beba11b500f157", + "dataset_id": "m8", + "template_id": "tpl_clickbench_filtered_topk_group_count", + "template_name": "Filtered Top-k Group Count", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Filtered Top-k Group Count to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=age.", + "bindings": { + "group_col": "age", + "predicate_col": "duration", + "predicate_op": ">=", + "predicate_value": 319.0, + "top_k": 15, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": -1.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY support DESC\nLIMIT {top_k};", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=cli", + "problem_index_within_template=4", + "sql_variant_index=2/2", + "binding_index=75" + ], + "template_selection_mode": "cli", + "selected_template_rank": 7, + "problem_index_within_template": 4, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_4a4afddc5bd8bfdf", + "problem_id": "v2p_m8_3f7958a0aff02d62", + "dataset_id": "m8", + "template_id": "tpl_clickbench_filtered_topk_group_count", + "template_name": "Filtered Top-k Group Count", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Filtered Top-k Group Count to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=job.", + "bindings": { + "group_col": "job", + "predicate_col": "contact", + "predicate_op": "=", + "predicate_value": "unknown", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY support DESC\nLIMIT {top_k};", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=cli", + "problem_index_within_template=5", + "sql_variant_index=1/2", + "binding_index=76" + ], + "template_selection_mode": "cli", + "selected_template_rank": 7, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_d427fa8e021e915c", + "problem_id": "v2p_m8_55dad69a00ad51e0", + "dataset_id": "m8", + "template_id": "tpl_clickbench_filtered_topk_group_count", + "template_name": "Filtered Top-k Group Count", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Filtered Top-k Group Count to probe subgroup_size_stability with semantic role filtered_stable_view. Focus on group_col=job.", + "bindings": { + "group_col": "job", + "predicate_col": "campaign", + "predicate_op": ">=", + "predicate_value": 3.0, + "top_k": 16, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY support DESC\nLIMIT {top_k};", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=cli", + "problem_index_within_template=5", + "sql_variant_index=2/2", + "binding_index=76" + ], + "template_selection_mode": "cli", + "selected_template_rank": 7, + "problem_index_within_template": 5, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_f2b9a7a9725a9af7", + "problem_id": "v2p_m8_98e2512e0e361d32", + "dataset_id": "m8", + "template_id": "tpl_clickbench_filtered_topk_group_count", + "template_name": "Filtered Top-k Group Count", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Filtered Top-k Group Count to probe subgroup_size_stability with semantic role filtered_stable_view. Focus on group_col=marital.", + "bindings": { + "group_col": "marital", + "predicate_col": "day", + "predicate_op": ">=", + "predicate_value": 21.0, + "top_k": 12, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 48.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY support DESC\nLIMIT {top_k};", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=cli", + "problem_index_within_template=6", + "sql_variant_index=1/2", + "binding_index=77" + ], + "template_selection_mode": "cli", + "selected_template_rank": 7, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_d73628340b2f8496", + "problem_id": "v2p_m8_f4c3d1a8d22383f5", + "dataset_id": "m8", + "template_id": "tpl_clickbench_filtered_topk_group_count", + "template_name": "Filtered Top-k Group Count", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Filtered Top-k Group Count to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=marital.", + "bindings": { + "group_col": "marital", + "predicate_col": "pdays", + "predicate_op": ">=", + "predicate_value": -1.0, + "top_k": 17, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 48.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY support DESC\nLIMIT {top_k};", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=cli", + "problem_index_within_template=6", + "sql_variant_index=2/2", + "binding_index=77" + ], + "template_selection_mode": "cli", + "selected_template_rank": 7, + "problem_index_within_template": 6, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_cd76206c00ae18f6", + "problem_id": "v2p_m8_21ef14b78ae5d163", + "dataset_id": "m8", + "template_id": "tpl_clickbench_filtered_topk_group_count", + "template_name": "Filtered Top-k Group Count", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Filtered Top-k Group Count to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=education.", + "bindings": { + "group_col": "education", + "predicate_col": "month", + "predicate_op": "=", + "predicate_value": "feb", + "top_k": 13, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 1428.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY support DESC\nLIMIT {top_k};", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=cli", + "problem_index_within_template=7", + "sql_variant_index=1/2", + "binding_index=78" + ], + "template_selection_mode": "cli", + "selected_template_rank": 7, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_2ca717f12baeccbb", + "problem_id": "v2p_m8_22b3cc848ef2633c", + "dataset_id": "m8", + "template_id": "tpl_clickbench_filtered_topk_group_count", + "template_name": "Filtered Top-k Group Count", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Filtered Top-k Group Count to probe subgroup_size_stability with semantic role filtered_stable_view. Focus on group_col=education.", + "bindings": { + "group_col": "education", + "predicate_col": "previous", + "predicate_op": ">=", + "predicate_value": 0.0, + "top_k": 18, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 1428.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY support DESC\nLIMIT {top_k};", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=cli", + "problem_index_within_template=7", + "sql_variant_index=2/2", + "binding_index=78" + ], + "template_selection_mode": "cli", + "selected_template_rank": 7, + "problem_index_within_template": 7, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_7f07615045d3bf38", + "problem_id": "v2p_m8_ffb760ff0831a935", + "dataset_id": "m8", + "template_id": "tpl_clickbench_filtered_topk_group_count", + "template_name": "Filtered Top-k Group Count", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Filtered Top-k Group Count to probe subgroup_size_stability with semantic role filtered_stable_view. Focus on group_col=default.", + "bindings": { + "group_col": "default", + "predicate_col": "duration", + "predicate_op": ">=", + "predicate_value": 319.0, + "top_k": 14, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 21.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY support DESC\nLIMIT {top_k};", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=cli", + "problem_index_within_template=8", + "sql_variant_index=1/2", + "binding_index=79" + ], + "template_selection_mode": "cli", + "selected_template_rank": 7, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_9d2aa9634bdee9ba", + "problem_id": "v2p_m8_5a1a94eac33fcbb3", + "dataset_id": "m8", + "template_id": "tpl_clickbench_filtered_topk_group_count", + "template_name": "Filtered Top-k Group Count", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Filtered Top-k Group Count to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=default.", + "bindings": { + "group_col": "default", + "predicate_col": "poutcome", + "predicate_op": "=", + "predicate_value": "success", + "top_k": 19, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 21.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY support DESC\nLIMIT {top_k};", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=cli", + "problem_index_within_template=8", + "sql_variant_index=2/2", + "binding_index=79" + ], + "template_selection_mode": "cli", + "selected_template_rank": 7, + "problem_index_within_template": 8, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_a6ea33f05b876a06", + "problem_id": "v2p_m8_366972484a9b5276", + "dataset_id": "m8", + "template_id": "tpl_clickbench_filtered_topk_group_count", + "template_name": "Filtered Top-k Group Count", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Filtered Top-k Group Count to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=housing.", + "bindings": { + "group_col": "housing", + "predicate_col": "campaign", + "predicate_op": ">=", + "predicate_value": 3.0, + "top_k": 10, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 319.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY support DESC\nLIMIT {top_k};", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=cli", + "problem_index_within_template=9", + "sql_variant_index=1/2", + "binding_index=80" + ], + "template_selection_mode": "cli", + "selected_template_rank": 7, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_6c152141eca8e768", + "problem_id": "v2p_m8_f59869d6bbb04bf2", + "dataset_id": "m8", + "template_id": "tpl_clickbench_filtered_topk_group_count", + "template_name": "Filtered Top-k Group Count", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Filtered Top-k Group Count to probe subgroup_size_stability with semantic role filtered_stable_view. Focus on group_col=housing.", + "bindings": { + "group_col": "housing", + "predicate_col": "y", + "predicate_op": "=", + "predicate_value": "no", + "top_k": 15, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 319.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY support DESC\nLIMIT {top_k};", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=cli", + "problem_index_within_template=9", + "sql_variant_index=2/2", + "binding_index=80" + ], + "template_selection_mode": "cli", + "selected_template_rank": 7, + "problem_index_within_template": 9, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_8a5bb92bc0e94db8", + "problem_id": "v2p_m8_76d2dc972be997f3", + "dataset_id": "m8", + "template_id": "tpl_m4_support_guarded_group_avg", + "template_name": "Support-Guarded Group Average", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Support-Guarded Group Average to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=month, measure_col=age.", + "bindings": { + "group_col": "month", + "measure_col": "age", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 48.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure, COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) > {min_group_size}\nORDER BY {group_col};", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=1", + "sql_variant_index=1/2", + "binding_index=84" + ], + "template_selection_mode": "cli", + "selected_template_rank": 8, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_ab1e32676f9702c8", + "problem_id": "v2p_m8_d64d5313e7ae72cd", + "dataset_id": "m8", + "template_id": "tpl_m4_support_guarded_group_avg", + "template_name": "Support-Guarded Group Average", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_rank_order", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Support-Guarded Group Average to probe internal_profile_stability with semantic role filtered_stable_view. Focus on group_col=month, measure_col=age.", + "bindings": { + "group_col": "month", + "measure_col": "age", + "top_k": 19, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 45.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure, COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) > {min_group_size}\nORDER BY {group_col};", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=1", + "sql_variant_index=2/2", + "binding_index=84" + ], + "template_selection_mode": "cli", + "selected_template_rank": 8, + "problem_index_within_template": 1, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_af1eaa12450a58a9", + "problem_id": "v2p_m8_05e4d957615bfc56", + "dataset_id": "m8", + "template_id": "tpl_m4_support_guarded_group_avg", + "template_name": "Support-Guarded Group Average", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_rank_order", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Support-Guarded Group Average to probe internal_profile_stability with semantic role filtered_stable_view. Focus on group_col=campaign, measure_col=balance.", + "bindings": { + "group_col": "campaign", + "measure_col": "balance", + "top_k": 10, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 1428.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure, COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) > {min_group_size}\nORDER BY {group_col};", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=2", + "sql_variant_index=1/2", + "binding_index=85" + ], + "template_selection_mode": "cli", + "selected_template_rank": 8, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_06c9f1f99c4e9541", + "problem_id": "v2p_m8_0835cb32899ddb16", + "dataset_id": "m8", + "template_id": "tpl_m4_support_guarded_group_avg", + "template_name": "Support-Guarded Group Average", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_conditional_contrast", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Support-Guarded Group Average to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=campaign, measure_col=balance.", + "bindings": { + "group_col": "campaign", + "measure_col": "balance", + "top_k": 15, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 927.6, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure, COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) > {min_group_size}\nORDER BY {group_col};", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=2", + "sql_variant_index=2/2", + "binding_index=85" + ], + "template_selection_mode": "cli", + "selected_template_rank": 8, + "problem_index_within_template": 2, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_2c7e52e9816fdcd9", + "problem_id": "v2p_m8_4fb871cbad39e74c", + "dataset_id": "m8", + "template_id": "tpl_m4_support_guarded_group_avg", + "template_name": "Support-Guarded Group Average", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_conditional_contrast", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Support-Guarded Group Average to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=pdays, measure_col=day.", + "bindings": { + "group_col": "pdays", + "measure_col": "day", + "top_k": 11, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 21.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure, COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) > {min_group_size}\nORDER BY {group_col};", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=3", + "sql_variant_index=1/2", + "binding_index=86" + ], + "template_selection_mode": "cli", + "selected_template_rank": 8, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_0c184e144be829f4", + "problem_id": "v2p_m8_5074e80c6f7e54ef", + "dataset_id": "m8", + "template_id": "tpl_m4_support_guarded_group_avg", + "template_name": "Support-Guarded Group Average", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Support-Guarded Group Average to probe internal_profile_stability with semantic role filtered_stable_view. Focus on group_col=pdays, measure_col=day.", + "bindings": { + "group_col": "pdays", + "measure_col": "day", + "top_k": 16, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 20.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure, COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) > {min_group_size}\nORDER BY {group_col};", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=3", + "sql_variant_index=2/2", + "binding_index=86" + ], + "template_selection_mode": "cli", + "selected_template_rank": 8, + "problem_index_within_template": 3, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_440308fee743d77f", + "problem_id": "v2p_m8_b3dab065c5b24c0f", + "dataset_id": "m8", + "template_id": "tpl_m4_support_guarded_group_avg", + "template_name": "Support-Guarded Group Average", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Support-Guarded Group Average to probe internal_profile_stability with semantic role filtered_stable_view. Focus on group_col=previous, measure_col=duration.", + "bindings": { + "group_col": "previous", + "measure_col": "duration", + "top_k": 12, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 319.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure, COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) > {min_group_size}\nORDER BY {group_col};", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=4", + "sql_variant_index=1/2", + "binding_index=87" + ], + "template_selection_mode": "cli", + "selected_template_rank": 8, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_7c90b77c0e463bc2", + "problem_id": "v2p_m8_e8ac34d10ea6bd04", + "dataset_id": "m8", + "template_id": "tpl_m4_support_guarded_group_avg", + "template_name": "Support-Guarded Group Average", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_rank_order", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Support-Guarded Group Average to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=previous, measure_col=duration.", + "bindings": { + "group_col": "previous", + "measure_col": "duration", + "top_k": 17, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 254.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure, COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) > {min_group_size}\nORDER BY {group_col};", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=4", + "sql_variant_index=2/2", + "binding_index=87" + ], + "template_selection_mode": "cli", + "selected_template_rank": 8, + "problem_index_within_template": 4, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_2584e347902b8ffc", + "problem_id": "v2p_m8_04a733372f686d6a", + "dataset_id": "m8", + "template_id": "tpl_m4_support_guarded_group_avg", + "template_name": "Support-Guarded Group Average", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_rank_order", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Support-Guarded Group Average to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=poutcome, measure_col=campaign.", + "bindings": { + "group_col": "poutcome", + "measure_col": "campaign", + "top_k": 13, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure, COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) > {min_group_size}\nORDER BY {group_col};", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=5", + "sql_variant_index=1/2", + "binding_index=88" + ], + "template_selection_mode": "cli", + "selected_template_rank": 8, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_abe50bd60b93c1d6", + "problem_id": "v2p_m8_3bb0b9ea824a3326", + "dataset_id": "m8", + "template_id": "tpl_m4_support_guarded_group_avg", + "template_name": "Support-Guarded Group Average", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_conditional_contrast", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Support-Guarded Group Average to probe internal_profile_stability with semantic role filtered_stable_view. Focus on group_col=poutcome, measure_col=campaign.", + "bindings": { + "group_col": "poutcome", + "measure_col": "campaign", + "top_k": 18, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure, COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) > {min_group_size}\nORDER BY {group_col};", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=5", + "sql_variant_index=2/2", + "binding_index=88" + ], + "template_selection_mode": "cli", + "selected_template_rank": 8, + "problem_index_within_template": 5, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_d0af7ab898b5da42", + "problem_id": "v2p_m8_9b73d14d7398c400", + "dataset_id": "m8", + "template_id": "tpl_m4_support_guarded_group_avg", + "template_name": "Support-Guarded Group Average", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_conditional_contrast", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Support-Guarded Group Average to probe internal_profile_stability with semantic role filtered_stable_view. Focus on group_col=y, measure_col=pdays.", + "bindings": { + "group_col": "y", + "measure_col": "pdays", + "top_k": 14, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": -1.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure, COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) > {min_group_size}\nORDER BY {group_col};", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=6", + "sql_variant_index=1/2", + "binding_index=89" + ], + "template_selection_mode": "cli", + "selected_template_rank": 8, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_bfea5b2e9b2c9508", + "problem_id": "v2p_m8_101a126f663ca9ee", + "dataset_id": "m8", + "template_id": "tpl_m4_support_guarded_group_avg", + "template_name": "Support-Guarded Group Average", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Support-Guarded Group Average to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=y, measure_col=pdays.", + "bindings": { + "group_col": "y", + "measure_col": "pdays", + "top_k": 19, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": -1.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure, COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) > {min_group_size}\nORDER BY {group_col};", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=6", + "sql_variant_index=2/2", + "binding_index=89" + ], + "template_selection_mode": "cli", + "selected_template_rank": 8, + "problem_index_within_template": 6, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_df56ec3e1fe9a635", + "problem_id": "v2p_m8_94dbb65c06896d31", + "dataset_id": "m8", + "template_id": "tpl_m4_support_guarded_group_avg", + "template_name": "Support-Guarded Group Average", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Support-Guarded Group Average to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=age, measure_col=previous.", + "bindings": { + "group_col": "age", + "measure_col": "previous", + "top_k": 10, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure, COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) > {min_group_size}\nORDER BY {group_col};", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=7", + "sql_variant_index=1/2", + "binding_index=90" + ], + "template_selection_mode": "cli", + "selected_template_rank": 8, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_695251c42e671050", + "problem_id": "v2p_m8_4d32656aaefc636b", + "dataset_id": "m8", + "template_id": "tpl_m4_support_guarded_group_avg", + "template_name": "Support-Guarded Group Average", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_rank_order", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Support-Guarded Group Average to probe internal_profile_stability with semantic role filtered_stable_view. Focus on group_col=age, measure_col=previous.", + "bindings": { + "group_col": "age", + "measure_col": "previous", + "top_k": 15, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure, COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) > {min_group_size}\nORDER BY {group_col};", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=7", + "sql_variant_index=2/2", + "binding_index=90" + ], + "template_selection_mode": "cli", + "selected_template_rank": 8, + "problem_index_within_template": 7, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_cb9e1a9335e47683", + "problem_id": "v2p_m8_dfa8b1b8b530ae68", + "dataset_id": "m8", + "template_id": "tpl_m4_support_guarded_group_avg", + "template_name": "Support-Guarded Group Average", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_rank_order", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Support-Guarded Group Average to probe internal_profile_stability with semantic role filtered_stable_view. Focus on group_col=job, measure_col=age.", + "bindings": { + "group_col": "job", + "measure_col": "age", + "top_k": 11, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 48.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure, COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) > {min_group_size}\nORDER BY {group_col};", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=8", + "sql_variant_index=1/2", + "binding_index=91" + ], + "template_selection_mode": "cli", + "selected_template_rank": 8, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_177e34c07e148b07", + "problem_id": "v2p_m8_b783d862535b07b0", + "dataset_id": "m8", + "template_id": "tpl_m4_support_guarded_group_avg", + "template_name": "Support-Guarded Group Average", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_conditional_contrast", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Support-Guarded Group Average to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=job, measure_col=age.", + "bindings": { + "group_col": "job", + "measure_col": "age", + "top_k": 16, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 45.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure, COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) > {min_group_size}\nORDER BY {group_col};", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=8", + "sql_variant_index=2/2", + "binding_index=91" + ], + "template_selection_mode": "cli", + "selected_template_rank": 8, + "problem_index_within_template": 8, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_a1a7d7c5563f5ef0", + "problem_id": "v2p_m8_90c0a9a76e6d930a", + "dataset_id": "m8", + "template_id": "tpl_m4_support_guarded_group_avg", + "template_name": "Support-Guarded Group Average", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_conditional_contrast", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Support-Guarded Group Average to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=marital, measure_col=balance.", + "bindings": { + "group_col": "marital", + "measure_col": "balance", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 1428.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure, COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) > {min_group_size}\nORDER BY {group_col};", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=9", + "sql_variant_index=1/2", + "binding_index=92" + ], + "template_selection_mode": "cli", + "selected_template_rank": 8, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_d6bd2654c2c1c709", + "problem_id": "v2p_m8_ab889e7138977913", + "dataset_id": "m8", + "template_id": "tpl_m4_support_guarded_group_avg", + "template_name": "Support-Guarded Group Average", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Support-Guarded Group Average to probe internal_profile_stability with semantic role filtered_stable_view. Focus on group_col=marital, measure_col=balance.", + "bindings": { + "group_col": "marital", + "measure_col": "balance", + "top_k": 17, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 927.6, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure, COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) > {min_group_size}\nORDER BY {group_col};", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=9", + "sql_variant_index=2/2", + "binding_index=92" + ], + "template_selection_mode": "cli", + "selected_template_rank": 8, + "problem_index_within_template": 9, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_06c0fe17a2c344d3", + "problem_id": "v2p_m8_913fee935ce7186a", + "dataset_id": "m8", + "template_id": "tpl_m4_support_guarded_group_avg", + "template_name": "Support-Guarded Group Average", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Support-Guarded Group Average to probe internal_profile_stability with semantic role filtered_stable_view. Focus on group_col=education, measure_col=day.", + "bindings": { + "group_col": "education", + "measure_col": "day", + "top_k": 13, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 21.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure, COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) > {min_group_size}\nORDER BY {group_col};", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=10", + "sql_variant_index=1/2", + "binding_index=93" + ], + "template_selection_mode": "cli", + "selected_template_rank": 8, + "problem_index_within_template": 10, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_193d2dad3d36739d", + "problem_id": "v2p_m8_4101f49748dd0ab9", + "dataset_id": "m8", + "template_id": "tpl_m4_support_guarded_group_avg", + "template_name": "Support-Guarded Group Average", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_rank_order", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Support-Guarded Group Average to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=education, measure_col=day.", + "bindings": { + "group_col": "education", + "measure_col": "day", + "top_k": 18, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 20.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure, COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) > {min_group_size}\nORDER BY {group_col};", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=10", + "sql_variant_index=2/2", + "binding_index=93" + ], + "template_selection_mode": "cli", + "selected_template_rank": 8, + "problem_index_within_template": 10, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_c3aba46a1a98744c", + "problem_id": "v2p_m8_55cdc66c074a8f18", + "dataset_id": "m8", + "template_id": "tpl_tpch_two_dimensional_summary", + "template_name": "Two-Dimensional Summary with Filter", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Two-Dimensional Summary with Filter to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=campaign, group_col_2=previous, measure_col=pdays.", + "bindings": { + "group_col": "campaign", + "group_col_2": "previous", + "measure_col": "pdays", + "predicate_col": "duration", + "predicate_op": ">=", + "predicate_value": 319.0, + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": -1.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "measure_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n SUM({measure_col}) AS sum_measure,\n AVG({measure_col}) AS avg_measure,\n COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY {group_col}, {group_col_2};", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=1", + "sql_variant_index=1/2", + "binding_index=96" + ], + "template_selection_mode": "cli", + "selected_template_rank": 9, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_c4d1f06bcc6aaf4f", + "problem_id": "v2p_m8_c0edb236840ab16b", + "dataset_id": "m8", + "template_id": "tpl_tpch_two_dimensional_summary", + "template_name": "Two-Dimensional Summary with Filter", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_rank_order", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Two-Dimensional Summary with Filter to probe internal_profile_stability with semantic role filtered_stable_view. Focus on group_col=campaign, group_col_2=previous, measure_col=pdays.", + "bindings": { + "group_col": "campaign", + "group_col_2": "previous", + "measure_col": "pdays", + "predicate_col": "poutcome", + "predicate_op": "=", + "predicate_value": "unknown", + "top_k": 16, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": -1.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "measure_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n SUM({measure_col}) AS sum_measure,\n AVG({measure_col}) AS avg_measure,\n COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY {group_col}, {group_col_2};", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=1", + "sql_variant_index=2/2", + "binding_index=96" + ], + "template_selection_mode": "cli", + "selected_template_rank": 9, + "problem_index_within_template": 1, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_21cd3588922968fe", + "problem_id": "v2p_m8_c78ac6ff36ac6138", + "dataset_id": "m8", + "template_id": "tpl_tpch_two_dimensional_summary", + "template_name": "Two-Dimensional Summary with Filter", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_rank_order", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Two-Dimensional Summary with Filter to probe internal_profile_stability with semantic role filtered_stable_view. Focus on group_col=campaign, group_col_2=poutcome, measure_col=previous.", + "bindings": { + "group_col": "campaign", + "group_col_2": "poutcome", + "measure_col": "previous", + "predicate_col": "campaign", + "predicate_op": ">=", + "predicate_value": 3.0, + "top_k": 12, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "measure_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n SUM({measure_col}) AS sum_measure,\n AVG({measure_col}) AS avg_measure,\n COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY {group_col}, {group_col_2};", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=2", + "sql_variant_index=1/1", + "binding_index=97" + ], + "template_selection_mode": "cli", + "selected_template_rank": 9, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_f77db3bacd2e7f39", + "problem_id": "v2p_m8_6864ccf0e876b743", + "dataset_id": "m8", + "template_id": "tpl_tpch_two_dimensional_summary", + "template_name": "Two-Dimensional Summary with Filter", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_conditional_contrast", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Two-Dimensional Summary with Filter to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=campaign, group_col_2=y, measure_col=age.", + "bindings": { + "group_col": "campaign", + "group_col_2": "y", + "measure_col": "age", + "predicate_col": "pdays", + "predicate_op": ">=", + "predicate_value": -1.0, + "top_k": 13, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 48.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "measure_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n SUM({measure_col}) AS sum_measure,\n AVG({measure_col}) AS avg_measure,\n COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY {group_col}, {group_col_2};", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=3", + "sql_variant_index=1/2", + "binding_index=98" + ], + "template_selection_mode": "cli", + "selected_template_rank": 9, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_5fd823661ee17454", + "problem_id": "v2p_m8_2aaba935eb3df201", + "dataset_id": "m8", + "template_id": "tpl_tpch_two_dimensional_summary", + "template_name": "Two-Dimensional Summary with Filter", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Two-Dimensional Summary with Filter to probe internal_profile_stability with semantic role filtered_stable_view. Focus on group_col=campaign, group_col_2=y, measure_col=age.", + "bindings": { + "group_col": "campaign", + "group_col_2": "y", + "measure_col": "age", + "predicate_col": "age", + "predicate_op": ">=", + "predicate_value": 48.0, + "top_k": 18, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 45.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "measure_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n SUM({measure_col}) AS sum_measure,\n AVG({measure_col}) AS avg_measure,\n COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY {group_col}, {group_col_2};", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=3", + "sql_variant_index=2/2", + "binding_index=98" + ], + "template_selection_mode": "cli", + "selected_template_rank": 9, + "problem_index_within_template": 3, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_6ff5cd0a665117ac", + "problem_id": "v2p_m8_7a4b937d430ab612", + "dataset_id": "m8", + "template_id": "tpl_tpch_two_dimensional_summary", + "template_name": "Two-Dimensional Summary with Filter", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Two-Dimensional Summary with Filter to probe internal_profile_stability with semantic role filtered_stable_view. Focus on group_col=pdays, group_col_2=previous, measure_col=balance.", + "bindings": { + "group_col": "pdays", + "group_col_2": "previous", + "measure_col": "balance", + "predicate_col": "previous", + "predicate_op": ">=", + "predicate_value": 0.0, + "top_k": 14, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 1428.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "measure_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n SUM({measure_col}) AS sum_measure,\n AVG({measure_col}) AS avg_measure,\n COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY {group_col}, {group_col_2};", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=4", + "sql_variant_index=1/1", + "binding_index=99" + ], + "template_selection_mode": "cli", + "selected_template_rank": 9, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_bc06a27f830a67ce", + "problem_id": "v2p_m8_b154aa66608a41db", + "dataset_id": "m8", + "template_id": "tpl_tpch_two_dimensional_summary", + "template_name": "Two-Dimensional Summary with Filter", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_rank_order", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Two-Dimensional Summary with Filter to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=pdays, group_col_2=poutcome, measure_col=day.", + "bindings": { + "group_col": "pdays", + "group_col_2": "poutcome", + "measure_col": "day", + "predicate_col": "poutcome", + "predicate_op": "=", + "predicate_value": "unknown", + "top_k": 10, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 21.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "measure_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n SUM({measure_col}) AS sum_measure,\n AVG({measure_col}) AS avg_measure,\n COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY {group_col}, {group_col_2};", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=5", + "sql_variant_index=1/2", + "binding_index=100" + ], + "template_selection_mode": "cli", + "selected_template_rank": 9, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_d63e3cb36f088f66", + "problem_id": "v2p_m8_ec0d1a18b948a822", + "dataset_id": "m8", + "template_id": "tpl_tpch_two_dimensional_summary", + "template_name": "Two-Dimensional Summary with Filter", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_conditional_contrast", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Two-Dimensional Summary with Filter to probe internal_profile_stability with semantic role filtered_stable_view. Focus on group_col=pdays, group_col_2=poutcome, measure_col=day.", + "bindings": { + "group_col": "pdays", + "group_col_2": "poutcome", + "measure_col": "day", + "predicate_col": "marital", + "predicate_op": "=", + "predicate_value": "divorced", + "top_k": 15, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 20.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "measure_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n SUM({measure_col}) AS sum_measure,\n AVG({measure_col}) AS avg_measure,\n COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY {group_col}, {group_col_2};", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=5", + "sql_variant_index=2/2", + "binding_index=100" + ], + "template_selection_mode": "cli", + "selected_template_rank": 9, + "problem_index_within_template": 5, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_2a3e2135ce911ab8", + "problem_id": "v2p_m8_d756847d83eed184", + "dataset_id": "m8", + "template_id": "tpl_tpch_two_dimensional_summary", + "template_name": "Two-Dimensional Summary with Filter", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_conditional_contrast", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Two-Dimensional Summary with Filter to probe internal_profile_stability with semantic role filtered_stable_view. Focus on group_col=pdays, group_col_2=y, measure_col=duration.", + "bindings": { + "group_col": "pdays", + "group_col_2": "y", + "measure_col": "duration", + "predicate_col": "y", + "predicate_op": "=", + "predicate_value": "yes", + "top_k": 11, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 319.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "measure_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n SUM({measure_col}) AS sum_measure,\n AVG({measure_col}) AS avg_measure,\n COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY {group_col}, {group_col_2};", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=6", + "sql_variant_index=1/1", + "binding_index=101" + ], + "template_selection_mode": "cli", + "selected_template_rank": 9, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_0348e479a5434397", + "problem_id": "v2p_m8_c23637bae103e4a9", + "dataset_id": "m8", + "template_id": "tpl_tpch_two_dimensional_summary", + "template_name": "Two-Dimensional Summary with Filter", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Two-Dimensional Summary with Filter to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=previous, group_col_2=poutcome, measure_col=campaign.", + "bindings": { + "group_col": "previous", + "group_col_2": "poutcome", + "measure_col": "campaign", + "predicate_col": "age", + "predicate_op": ">=", + "predicate_value": 48.0, + "top_k": 12, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "measure_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n SUM({measure_col}) AS sum_measure,\n AVG({measure_col}) AS avg_measure,\n COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY {group_col}, {group_col_2};", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=7", + "sql_variant_index=1/2", + "binding_index=102" + ], + "template_selection_mode": "cli", + "selected_template_rank": 9, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_886cc5caa62dfadd", + "problem_id": "v2p_m8_472ed402cd6d10d8", + "dataset_id": "m8", + "template_id": "tpl_tpch_two_dimensional_summary", + "template_name": "Two-Dimensional Summary with Filter", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_rank_order", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Two-Dimensional Summary with Filter to probe internal_profile_stability with semantic role filtered_stable_view. Focus on group_col=previous, group_col_2=poutcome, measure_col=campaign.", + "bindings": { + "group_col": "previous", + "group_col_2": "poutcome", + "measure_col": "campaign", + "predicate_col": "default", + "predicate_op": "=", + "predicate_value": "no", + "top_k": 17, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "measure_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n SUM({measure_col}) AS sum_measure,\n AVG({measure_col}) AS avg_measure,\n COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY {group_col}, {group_col_2};", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=7", + "sql_variant_index=2/2", + "binding_index=102" + ], + "template_selection_mode": "cli", + "selected_template_rank": 9, + "problem_index_within_template": 7, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_d77faf6f4133d172", + "problem_id": "v2p_m8_445b967466b9c0ef", + "dataset_id": "m8", + "template_id": "tpl_tpch_two_dimensional_summary", + "template_name": "Two-Dimensional Summary with Filter", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_rank_order", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Two-Dimensional Summary with Filter to probe internal_profile_stability with semantic role filtered_stable_view. Focus on group_col=previous, group_col_2=y, measure_col=pdays.", + "bindings": { + "group_col": "previous", + "group_col_2": "y", + "measure_col": "pdays", + "predicate_col": "job", + "predicate_op": "=", + "predicate_value": "entrepreneur", + "top_k": 13, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": -1.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "measure_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n SUM({measure_col}) AS sum_measure,\n AVG({measure_col}) AS avg_measure,\n COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY {group_col}, {group_col_2};", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=8", + "sql_variant_index=1/1", + "binding_index=103" + ], + "template_selection_mode": "cli", + "selected_template_rank": 9, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_cd3173a1f8894c09", + "problem_id": "v2p_m8_f5fbb5c7ce415e70", + "dataset_id": "m8", + "template_id": "tpl_tpch_two_dimensional_summary", + "template_name": "Two-Dimensional Summary with Filter", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_conditional_contrast", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Two-Dimensional Summary with Filter to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=poutcome, group_col_2=y, measure_col=previous.", + "bindings": { + "group_col": "poutcome", + "group_col_2": "y", + "measure_col": "previous", + "predicate_col": "marital", + "predicate_op": "=", + "predicate_value": "divorced", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "measure_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n SUM({measure_col}) AS sum_measure,\n AVG({measure_col}) AS avg_measure,\n COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY {group_col}, {group_col_2};", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=9", + "sql_variant_index=1/2", + "binding_index=104" + ], + "template_selection_mode": "cli", + "selected_template_rank": 9, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_f3051e66bebfc803", + "problem_id": "v2p_m8_411040404b3c12e3", + "dataset_id": "m8", + "template_id": "tpl_tpch_two_dimensional_summary", + "template_name": "Two-Dimensional Summary with Filter", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Two-Dimensional Summary with Filter to probe internal_profile_stability with semantic role filtered_stable_view. Focus on group_col=poutcome, group_col_2=y, measure_col=previous.", + "bindings": { + "group_col": "poutcome", + "group_col_2": "y", + "measure_col": "previous", + "predicate_col": "housing", + "predicate_op": "=", + "predicate_value": "yes", + "top_k": 19, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "measure_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n SUM({measure_col}) AS sum_measure,\n AVG({measure_col}) AS avg_measure,\n COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY {group_col}, {group_col_2};", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=9", + "sql_variant_index=2/2", + "binding_index=104" + ], + "template_selection_mode": "cli", + "selected_template_rank": 9, + "problem_index_within_template": 9, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_0e3c2a90bb73dc14", + "problem_id": "v2p_m8_5cf9dba4670efa76", + "dataset_id": "m8", + "template_id": "tpl_tpch_two_dimensional_summary", + "template_name": "Two-Dimensional Summary with Filter", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Two-Dimensional Summary with Filter to probe internal_profile_stability with semantic role filtered_stable_view. Focus on group_col=age, group_col_2=job, measure_col=age.", + "bindings": { + "group_col": "age", + "group_col_2": "job", + "measure_col": "age", + "predicate_col": "education", + "predicate_op": "=", + "predicate_value": "tertiary", + "top_k": 10, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 48.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "measure_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n SUM({measure_col}) AS sum_measure,\n AVG({measure_col}) AS avg_measure,\n COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY {group_col}, {group_col_2};", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=10", + "sql_variant_index=1/1", + "binding_index=105" + ], + "template_selection_mode": "cli", + "selected_template_rank": 9, + "problem_index_within_template": 10, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_9a6a2c396ec218e0", + "problem_id": "v2p_m8_d92bed2aa4d0d3bd", + "dataset_id": "m8", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=education, measure_col=duration.", + "bindings": { + "group_col": "education", + "measure_col": "duration", + "top_k": 13, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 319.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=1", + "sql_variant_index=1/2", + "binding_index=108" + ], + "template_selection_mode": "cli", + "selected_template_rank": 10, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_38437a02397517f6", + "problem_id": "v2p_m8_dc60c66abf4a6d63", + "dataset_id": "m8", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=education, measure_col=duration.", + "bindings": { + "group_col": "education", + "measure_col": "duration", + "top_k": 18, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 254.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=1", + "sql_variant_index=2/2", + "binding_index=108" + ], + "template_selection_mode": "cli", + "selected_template_rank": 10, + "problem_index_within_template": 1, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_cfa56a68e614b035", + "problem_id": "v2p_m8_bc51f20ef6f3a281", + "dataset_id": "m8", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=default, measure_col=campaign.", + "bindings": { + "group_col": "default", + "measure_col": "campaign", + "top_k": 14, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=2", + "sql_variant_index=1/2", + "binding_index=109" + ], + "template_selection_mode": "cli", + "selected_template_rank": 10, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_589e10b332c93353", + "problem_id": "v2p_m8_327e92602da29fdc", + "dataset_id": "m8", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=default, measure_col=campaign.", + "bindings": { + "group_col": "default", + "measure_col": "campaign", + "top_k": 19, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=2", + "sql_variant_index=2/2", + "binding_index=109" + ], + "template_selection_mode": "cli", + "selected_template_rank": 10, + "problem_index_within_template": 2, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_607558bc22cabca1", + "problem_id": "v2p_m8_ad6aa967e5baa150", + "dataset_id": "m8", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=housing, measure_col=pdays.", + "bindings": { + "group_col": "housing", + "measure_col": "pdays", + "top_k": 10, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": -1.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=3", + "sql_variant_index=1/2", + "binding_index=110" + ], + "template_selection_mode": "cli", + "selected_template_rank": 10, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_337807704535710d", + "problem_id": "v2p_m8_0aeecdd9048754ec", + "dataset_id": "m8", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=housing, measure_col=pdays.", + "bindings": { + "group_col": "housing", + "measure_col": "pdays", + "top_k": 15, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": -1.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=3", + "sql_variant_index=2/2", + "binding_index=110" + ], + "template_selection_mode": "cli", + "selected_template_rank": 10, + "problem_index_within_template": 3, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_68723faeb4a67c2f", + "problem_id": "v2p_m8_e8267fff27572a83", + "dataset_id": "m8", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=loan, measure_col=previous.", + "bindings": { + "group_col": "loan", + "measure_col": "previous", + "top_k": 11, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=4", + "sql_variant_index=1/2", + "binding_index=111" + ], + "template_selection_mode": "cli", + "selected_template_rank": 10, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_2646a693b8f5809f", + "problem_id": "v2p_m8_464748a547637d69", + "dataset_id": "m8", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=loan, measure_col=previous.", + "bindings": { + "group_col": "loan", + "measure_col": "previous", + "top_k": 16, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=4", + "sql_variant_index=2/2", + "binding_index=111" + ], + "template_selection_mode": "cli", + "selected_template_rank": 10, + "problem_index_within_template": 4, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_7c12efa79d3839a9", + "problem_id": "v2p_m8_5f3d757f4b5b72ce", + "dataset_id": "m8", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=contact, measure_col=age.", + "bindings": { + "group_col": "contact", + "measure_col": "age", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 48.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=5", + "sql_variant_index=1/2", + "binding_index=112" + ], + "template_selection_mode": "cli", + "selected_template_rank": 10, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_c8660a6a78db3660", + "problem_id": "v2p_m8_42b91d3a965ceb64", + "dataset_id": "m8", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=contact, measure_col=age.", + "bindings": { + "group_col": "contact", + "measure_col": "age", + "top_k": 17, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 45.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=5", + "sql_variant_index=2/2", + "binding_index=112" + ], + "template_selection_mode": "cli", + "selected_template_rank": 10, + "problem_index_within_template": 5, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_e47954aacb2c5470", + "problem_id": "v2p_m8_7806af941ae894ed", + "dataset_id": "m8", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=day, measure_col=balance.", + "bindings": { + "group_col": "day", + "measure_col": "balance", + "top_k": 13, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 1428.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=6", + "sql_variant_index=1/2", + "binding_index=113" + ], + "template_selection_mode": "cli", + "selected_template_rank": 10, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_b6a56010a124a3d5", + "problem_id": "v2p_m8_66a5c8792cd3892d", + "dataset_id": "m8", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=day, measure_col=balance.", + "bindings": { + "group_col": "day", + "measure_col": "balance", + "top_k": 18, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 927.6, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=6", + "sql_variant_index=2/2", + "binding_index=113" + ], + "template_selection_mode": "cli", + "selected_template_rank": 10, + "problem_index_within_template": 6, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_89639ae3f5de68e3", + "problem_id": "v2p_m8_fad3eac1b5a204ef", + "dataset_id": "m8", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=month, measure_col=day.", + "bindings": { + "group_col": "month", + "measure_col": "day", + "top_k": 14, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 21.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=7", + "sql_variant_index=1/2", + "binding_index=114" + ], + "template_selection_mode": "cli", + "selected_template_rank": 10, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_3805224a4d9b3a0e", + "problem_id": "v2p_m8_e2939d6abcda5010", + "dataset_id": "m8", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=month, measure_col=day.", + "bindings": { + "group_col": "month", + "measure_col": "day", + "top_k": 19, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 20.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=7", + "sql_variant_index=2/2", + "binding_index=114" + ], + "template_selection_mode": "cli", + "selected_template_rank": 10, + "problem_index_within_template": 7, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_99af575ee9dffe73", + "problem_id": "v2p_m8_0bc82672a26433f2", + "dataset_id": "m8", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=campaign, measure_col=duration.", + "bindings": { + "group_col": "campaign", + "measure_col": "duration", + "top_k": 10, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 319.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=8", + "sql_variant_index=1/2", + "binding_index=115" + ], + "template_selection_mode": "cli", + "selected_template_rank": 10, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_52d14ec842523805", + "problem_id": "v2p_m8_cffbf2f3baf86f8c", + "dataset_id": "m8", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=campaign, measure_col=duration.", + "bindings": { + "group_col": "campaign", + "measure_col": "duration", + "top_k": 15, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 254.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=8", + "sql_variant_index=2/2", + "binding_index=115" + ], + "template_selection_mode": "cli", + "selected_template_rank": 10, + "problem_index_within_template": 8, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_92a7daf085e7e150", + "problem_id": "v2p_m8_ebc5fe5a8c894842", + "dataset_id": "m8", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=pdays, measure_col=campaign.", + "bindings": { + "group_col": "pdays", + "measure_col": "campaign", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=9", + "sql_variant_index=1/2", + "binding_index=116" + ], + "template_selection_mode": "cli", + "selected_template_rank": 10, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_8e34bbbbdffc71e4", + "problem_id": "v2p_m8_17f24f78bb204535", + "dataset_id": "m8", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=pdays, measure_col=campaign.", + "bindings": { + "group_col": "pdays", + "measure_col": "campaign", + "top_k": 16, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=9", + "sql_variant_index=2/2", + "binding_index=116" + ], + "template_selection_mode": "cli", + "selected_template_rank": 10, + "problem_index_within_template": 9, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_058a034b58940f31", + "problem_id": "v2p_m8_a0a9797b9e3763ac", + "dataset_id": "m8", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=previous, measure_col=pdays.", + "bindings": { + "group_col": "previous", + "measure_col": "pdays", + "top_k": 12, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": -1.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=10", + "sql_variant_index=1/2", + "binding_index=117" + ], + "template_selection_mode": "cli", + "selected_template_rank": 10, + "problem_index_within_template": 10, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_91f7a94620ca3369", + "problem_id": "v2p_m8_1bd476dc2d605a11", + "dataset_id": "m8", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=previous, measure_col=pdays.", + "bindings": { + "group_col": "previous", + "measure_col": "pdays", + "top_k": 17, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": -1.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=10", + "sql_variant_index=2/2", + "binding_index=117" + ], + "template_selection_mode": "cli", + "selected_template_rank": 10, + "problem_index_within_template": 10, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_0d32f891a0356160", + "problem_id": "v2p_m8_5771cdab0c1ae49b", + "dataset_id": "m8", + "template_id": "tpl_tail_target_rate_extremes_v2", + "template_name": "Tail Target-Rate Extremes", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Tail Target-Rate Extremes to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=age, target_col=y.", + "bindings": { + "group_col": "age", + "target_col": "y", + "target_value": "no", + "top_k": 10, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 1428.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support,\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS focus_rate\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY focus_rate DESC, support ASC\nLIMIT {top_k};", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=1", + "sql_variant_index=1/2", + "binding_index=120" + ], + "template_selection_mode": "cli", + "selected_template_rank": 11, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_e3a8a82d1ed6740a", + "problem_id": "v2p_m8_a42d7c0b701621cf", + "dataset_id": "m8", + "template_id": "tpl_tail_target_rate_extremes_v2", + "template_name": "Tail Target-Rate Extremes", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Tail Target-Rate Extremes to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=age, target_col=y.", + "bindings": { + "group_col": "age", + "target_col": "y", + "target_value": "no", + "top_k": 15, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 1428.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support,\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS focus_rate\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY focus_rate DESC, support ASC\nLIMIT {top_k};", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=1", + "sql_variant_index=2/2", + "binding_index=120" + ], + "template_selection_mode": "cli", + "selected_template_rank": 11, + "problem_index_within_template": 1, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_7b4a19410eef1cd9", + "problem_id": "v2p_m8_06facaf18f32acd7", + "dataset_id": "m8", + "template_id": "tpl_tail_target_rate_extremes_v2", + "template_name": "Tail Target-Rate Extremes", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Tail Target-Rate Extremes to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=job, target_col=y.", + "bindings": { + "group_col": "job", + "target_col": "y", + "target_value": "yes", + "top_k": 11, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 21.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support,\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS focus_rate\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY focus_rate DESC, support ASC\nLIMIT {top_k};", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=2", + "sql_variant_index=1/2", + "binding_index=121" + ], + "template_selection_mode": "cli", + "selected_template_rank": 11, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_bf42170016d38f44", + "problem_id": "v2p_m8_3ef7a73b2f12c68e", + "dataset_id": "m8", + "template_id": "tpl_tail_target_rate_extremes_v2", + "template_name": "Tail Target-Rate Extremes", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Tail Target-Rate Extremes to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=job, target_col=y.", + "bindings": { + "group_col": "job", + "target_col": "y", + "target_value": "yes", + "top_k": 16, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 21.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support,\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS focus_rate\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY focus_rate DESC, support ASC\nLIMIT {top_k};", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=2", + "sql_variant_index=2/2", + "binding_index=121" + ], + "template_selection_mode": "cli", + "selected_template_rank": 11, + "problem_index_within_template": 2, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_c221d5e93f867a11", + "problem_id": "v2p_m8_6924025163bbd563", + "dataset_id": "m8", + "template_id": "tpl_tail_target_rate_extremes_v2", + "template_name": "Tail Target-Rate Extremes", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Tail Target-Rate Extremes to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=marital, target_col=y.", + "bindings": { + "group_col": "marital", + "target_col": "y", + "target_value": "no", + "top_k": 12, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 319.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support,\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS focus_rate\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY focus_rate DESC, support ASC\nLIMIT {top_k};", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=3", + "sql_variant_index=1/2", + "binding_index=122" + ], + "template_selection_mode": "cli", + "selected_template_rank": 11, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_871a7b67ddfb5df2", + "problem_id": "v2p_m8_da864ce04f754844", + "dataset_id": "m8", + "template_id": "tpl_tail_target_rate_extremes_v2", + "template_name": "Tail Target-Rate Extremes", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Tail Target-Rate Extremes to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=marital, target_col=y.", + "bindings": { + "group_col": "marital", + "target_col": "y", + "target_value": "no", + "top_k": 17, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 319.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support,\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS focus_rate\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY focus_rate DESC, support ASC\nLIMIT {top_k};", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=3", + "sql_variant_index=2/2", + "binding_index=122" + ], + "template_selection_mode": "cli", + "selected_template_rank": 11, + "problem_index_within_template": 3, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_7f93a09bf5627caa", + "problem_id": "v2p_m8_aec89766f44db423", + "dataset_id": "m8", + "template_id": "tpl_tail_target_rate_extremes_v2", + "template_name": "Tail Target-Rate Extremes", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Tail Target-Rate Extremes to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=education, target_col=y.", + "bindings": { + "group_col": "education", + "target_col": "y", + "target_value": "yes", + "top_k": 13, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support,\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS focus_rate\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY focus_rate DESC, support ASC\nLIMIT {top_k};", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=4", + "sql_variant_index=1/2", + "binding_index=123" + ], + "template_selection_mode": "cli", + "selected_template_rank": 11, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_09ca091dbef5a039", + "problem_id": "v2p_m8_5c249983ac0150ea", + "dataset_id": "m8", + "template_id": "tpl_tail_target_rate_extremes_v2", + "template_name": "Tail Target-Rate Extremes", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Tail Target-Rate Extremes to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=education, target_col=y.", + "bindings": { + "group_col": "education", + "target_col": "y", + "target_value": "yes", + "top_k": 18, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support,\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS focus_rate\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY focus_rate DESC, support ASC\nLIMIT {top_k};", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=4", + "sql_variant_index=2/2", + "binding_index=123" + ], + "template_selection_mode": "cli", + "selected_template_rank": 11, + "problem_index_within_template": 4, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_134b1ce72f35a848", + "problem_id": "v2p_m8_84658584eaa36f0f", + "dataset_id": "m8", + "template_id": "tpl_tail_target_rate_extremes_v2", + "template_name": "Tail Target-Rate Extremes", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Tail Target-Rate Extremes to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=default, target_col=y.", + "bindings": { + "group_col": "default", + "target_col": "y", + "target_value": "no", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": -1.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support,\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS focus_rate\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY focus_rate DESC, support ASC\nLIMIT {top_k};", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=5", + "sql_variant_index=1/2", + "binding_index=124" + ], + "template_selection_mode": "cli", + "selected_template_rank": 11, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_40712d095a6d1b7b", + "problem_id": "v2p_m8_2a00bfb3bc1ee9cb", + "dataset_id": "m8", + "template_id": "tpl_tail_target_rate_extremes_v2", + "template_name": "Tail Target-Rate Extremes", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Tail Target-Rate Extremes to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=default, target_col=y.", + "bindings": { + "group_col": "default", + "target_col": "y", + "target_value": "no", + "top_k": 19, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": -1.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support,\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS focus_rate\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY focus_rate DESC, support ASC\nLIMIT {top_k};", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=5", + "sql_variant_index=2/2", + "binding_index=124" + ], + "template_selection_mode": "cli", + "selected_template_rank": 11, + "problem_index_within_template": 5, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_18a477da14cc32c5", + "problem_id": "v2p_m8_5d51dd0fa10f0a14", + "dataset_id": "m8", + "template_id": "tpl_tail_target_rate_extremes_v2", + "template_name": "Tail Target-Rate Extremes", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Tail Target-Rate Extremes to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=housing, target_col=y.", + "bindings": { + "group_col": "housing", + "target_col": "y", + "target_value": "yes", + "top_k": 10, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support,\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS focus_rate\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY focus_rate DESC, support ASC\nLIMIT {top_k};", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=6", + "sql_variant_index=1/2", + "binding_index=125" + ], + "template_selection_mode": "cli", + "selected_template_rank": 11, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_6647f1b85ad9718f", + "problem_id": "v2p_m8_73ac0ee07818b6b9", + "dataset_id": "m8", + "template_id": "tpl_tail_target_rate_extremes_v2", + "template_name": "Tail Target-Rate Extremes", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Tail Target-Rate Extremes to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=housing, target_col=y.", + "bindings": { + "group_col": "housing", + "target_col": "y", + "target_value": "yes", + "top_k": 15, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support,\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS focus_rate\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY focus_rate DESC, support ASC\nLIMIT {top_k};", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=6", + "sql_variant_index=2/2", + "binding_index=125" + ], + "template_selection_mode": "cli", + "selected_template_rank": 11, + "problem_index_within_template": 6, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_0fa9b23bd57131d5", + "problem_id": "v2p_m8_50b374660457a604", + "dataset_id": "m8", + "template_id": "tpl_tail_target_rate_extremes_v2", + "template_name": "Tail Target-Rate Extremes", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Tail Target-Rate Extremes to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=loan, target_col=y.", + "bindings": { + "group_col": "loan", + "target_col": "y", + "target_value": "no", + "top_k": 11, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 48.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support,\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS focus_rate\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY focus_rate DESC, support ASC\nLIMIT {top_k};", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=7", + "sql_variant_index=1/2", + "binding_index=126" + ], + "template_selection_mode": "cli", + "selected_template_rank": 11, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_0d03c347eb438412", + "problem_id": "v2p_m8_31239db23f478a12", + "dataset_id": "m8", + "template_id": "tpl_tail_target_rate_extremes_v2", + "template_name": "Tail Target-Rate Extremes", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Tail Target-Rate Extremes to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=loan, target_col=y.", + "bindings": { + "group_col": "loan", + "target_col": "y", + "target_value": "no", + "top_k": 16, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 48.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support,\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS focus_rate\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY focus_rate DESC, support ASC\nLIMIT {top_k};", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=7", + "sql_variant_index=2/2", + "binding_index=126" + ], + "template_selection_mode": "cli", + "selected_template_rank": 11, + "problem_index_within_template": 7, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_5cdf4007cbab70d8", + "problem_id": "v2p_m8_6770eaa814034d0f", + "dataset_id": "m8", + "template_id": "tpl_tail_target_rate_extremes_v2", + "template_name": "Tail Target-Rate Extremes", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Tail Target-Rate Extremes to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=contact, target_col=y.", + "bindings": { + "group_col": "contact", + "target_col": "y", + "target_value": "yes", + "top_k": 12, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 1428.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support,\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS focus_rate\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY focus_rate DESC, support ASC\nLIMIT {top_k};", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=8", + "sql_variant_index=1/2", + "binding_index=127" + ], + "template_selection_mode": "cli", + "selected_template_rank": 11, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_a2158d4310445dbe", + "problem_id": "v2p_m8_285d263b95d9926b", + "dataset_id": "m8", + "template_id": "tpl_tail_target_rate_extremes_v2", + "template_name": "Tail Target-Rate Extremes", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Tail Target-Rate Extremes to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=contact, target_col=y.", + "bindings": { + "group_col": "contact", + "target_col": "y", + "target_value": "yes", + "top_k": 17, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 1428.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support,\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS focus_rate\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY focus_rate DESC, support ASC\nLIMIT {top_k};", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=8", + "sql_variant_index=2/2", + "binding_index=127" + ], + "template_selection_mode": "cli", + "selected_template_rank": 11, + "problem_index_within_template": 8, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_308abdaeaaccdb72", + "problem_id": "v2p_m8_58c20d8ad86823c4", + "dataset_id": "m8", + "template_id": "tpl_tail_target_rate_extremes_v2", + "template_name": "Tail Target-Rate Extremes", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Tail Target-Rate Extremes to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=day, target_col=y.", + "bindings": { + "group_col": "day", + "target_col": "y", + "target_value": "no", + "top_k": 13, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 21.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support,\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS focus_rate\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY focus_rate DESC, support ASC\nLIMIT {top_k};", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=9", + "sql_variant_index=1/2", + "binding_index=128" + ], + "template_selection_mode": "cli", + "selected_template_rank": 11, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_5d29dca425adcb78", + "problem_id": "v2p_m8_a654c21384e0d816", + "dataset_id": "m8", + "template_id": "tpl_tail_target_rate_extremes_v2", + "template_name": "Tail Target-Rate Extremes", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Tail Target-Rate Extremes to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=day, target_col=y.", + "bindings": { + "group_col": "day", + "target_col": "y", + "target_value": "no", + "top_k": 18, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 21.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support,\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS focus_rate\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY focus_rate DESC, support ASC\nLIMIT {top_k};", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=9", + "sql_variant_index=2/2", + "binding_index=128" + ], + "template_selection_mode": "cli", + "selected_template_rank": 11, + "problem_index_within_template": 9, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_15a780d5aec1cade", + "problem_id": "v2p_m8_b066b03626345ba4", + "dataset_id": "m8", + "template_id": "tpl_tail_target_rate_extremes_v2", + "template_name": "Tail Target-Rate Extremes", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Tail Target-Rate Extremes to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=month, target_col=y.", + "bindings": { + "group_col": "month", + "target_col": "y", + "target_value": "yes", + "top_k": 14, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 319.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support,\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS focus_rate\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY focus_rate DESC, support ASC\nLIMIT {top_k};", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=10", + "sql_variant_index=1/2", + "binding_index=129" + ], + "template_selection_mode": "cli", + "selected_template_rank": 11, + "problem_index_within_template": 10, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_29aae556cdc68d80", + "problem_id": "v2p_m8_46aaadf31082eee7", + "dataset_id": "m8", + "template_id": "tpl_tail_target_rate_extremes_v2", + "template_name": "Tail Target-Rate Extremes", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Tail Target-Rate Extremes to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=month, target_col=y.", + "bindings": { + "group_col": "month", + "target_col": "y", + "target_value": "yes", + "top_k": 19, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 319.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support,\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS focus_rate\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY focus_rate DESC, support ASC\nLIMIT {top_k};", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=10", + "sql_variant_index=2/2", + "binding_index=129" + ], + "template_selection_mode": "cli", + "selected_template_rank": 11, + "problem_index_within_template": 10, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_22d4c4ebfb211258", + "problem_id": "v2p_m8_3efee06d505927b2", + "dataset_id": "m8", + "template_id": "tpl_tail_pairwise_sparse_slice_v2", + "template_name": "Pairwise Sparse Slice Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Pairwise Sparse Slice Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=marital, group_col_2=education.", + "bindings": { + "group_col": "marital", + "group_col_2": "education", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n {group_col_2},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY support ASC, {group_col}, {group_col_2}\nLIMIT {top_k};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=cli", + "problem_index_within_template=1", + "sql_variant_index=1/2", + "binding_index=132" + ], + "template_selection_mode": "cli", + "selected_template_rank": 12, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_795d6b71078effb9", + "problem_id": "v2p_m8_9f078fd43cb8238d", + "dataset_id": "m8", + "template_id": "tpl_tail_pairwise_sparse_slice_v2", + "template_name": "Pairwise Sparse Slice Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Pairwise Sparse Slice Count to probe tail_set_consistency with semantic role filtered_stable_view. Focus on group_col=marital, group_col_2=education.", + "bindings": { + "group_col": "marital", + "group_col_2": "education", + "top_k": 17, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n {group_col_2},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY support ASC, {group_col}, {group_col_2}\nLIMIT {top_k};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=cli", + "problem_index_within_template=1", + "sql_variant_index=2/2", + "binding_index=132" + ], + "template_selection_mode": "cli", + "selected_template_rank": 12, + "problem_index_within_template": 1, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_f5a8f9e7ff007d76", + "problem_id": "v2p_m8_3e1f5184ee720463", + "dataset_id": "m8", + "template_id": "tpl_tail_pairwise_sparse_slice_v2", + "template_name": "Pairwise Sparse Slice Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Pairwise Sparse Slice Count to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=marital, group_col_2=default.", + "bindings": { + "group_col": "marital", + "group_col_2": "default", + "top_k": 13, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 48.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n {group_col_2},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY support ASC, {group_col}, {group_col_2}\nLIMIT {top_k};", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=cli", + "problem_index_within_template=2", + "sql_variant_index=1/1", + "binding_index=133" + ], + "template_selection_mode": "cli", + "selected_template_rank": 12, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_a931d82adccf552e", + "problem_id": "v2p_m8_af8e5c5384d11acd", + "dataset_id": "m8", + "template_id": "tpl_tail_pairwise_sparse_slice_v2", + "template_name": "Pairwise Sparse Slice Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Pairwise Sparse Slice Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=marital, group_col_2=housing.", + "bindings": { + "group_col": "marital", + "group_col_2": "housing", + "top_k": 14, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 1428.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n {group_col_2},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY support ASC, {group_col}, {group_col_2}\nLIMIT {top_k};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=cli", + "problem_index_within_template=3", + "sql_variant_index=1/2", + "binding_index=134" + ], + "template_selection_mode": "cli", + "selected_template_rank": 12, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_3965b3e92db4d759", + "problem_id": "v2p_m8_e02fd23ed6cdbb91", + "dataset_id": "m8", + "template_id": "tpl_tail_pairwise_sparse_slice_v2", + "template_name": "Pairwise Sparse Slice Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Pairwise Sparse Slice Count to probe tail_set_consistency with semantic role filtered_stable_view. Focus on group_col=marital, group_col_2=housing.", + "bindings": { + "group_col": "marital", + "group_col_2": "housing", + "top_k": 19, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 1428.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n {group_col_2},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY support ASC, {group_col}, {group_col_2}\nLIMIT {top_k};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=cli", + "problem_index_within_template=3", + "sql_variant_index=2/2", + "binding_index=134" + ], + "template_selection_mode": "cli", + "selected_template_rank": 12, + "problem_index_within_template": 3, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_53caf6fb8b501a3d", + "problem_id": "v2p_m8_f16b6fec8f2dcb2c", + "dataset_id": "m8", + "template_id": "tpl_tail_pairwise_sparse_slice_v2", + "template_name": "Pairwise Sparse Slice Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Pairwise Sparse Slice Count to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=marital, group_col_2=loan.", + "bindings": { + "group_col": "marital", + "group_col_2": "loan", + "top_k": 10, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 21.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n {group_col_2},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY support ASC, {group_col}, {group_col_2}\nLIMIT {top_k};", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=cli", + "problem_index_within_template=4", + "sql_variant_index=1/1", + "binding_index=135" + ], + "template_selection_mode": "cli", + "selected_template_rank": 12, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_d0e223a5afeb0230", + "problem_id": "v2p_m8_57f87e7dd9b242b2", + "dataset_id": "m8", + "template_id": "tpl_tail_pairwise_sparse_slice_v2", + "template_name": "Pairwise Sparse Slice Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Pairwise Sparse Slice Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=marital, group_col_2=contact.", + "bindings": { + "group_col": "marital", + "group_col_2": "contact", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 319.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n {group_col_2},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY support ASC, {group_col}, {group_col_2}\nLIMIT {top_k};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=cli", + "problem_index_within_template=5", + "sql_variant_index=1/2", + "binding_index=136" + ], + "template_selection_mode": "cli", + "selected_template_rank": 12, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_3601e81010d1b568", + "problem_id": "v2p_m8_1d63e1e3e73e37b8", + "dataset_id": "m8", + "template_id": "tpl_tail_pairwise_sparse_slice_v2", + "template_name": "Pairwise Sparse Slice Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Pairwise Sparse Slice Count to probe tail_set_consistency with semantic role filtered_stable_view. Focus on group_col=marital, group_col_2=contact.", + "bindings": { + "group_col": "marital", + "group_col_2": "contact", + "top_k": 16, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 319.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n {group_col_2},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY support ASC, {group_col}, {group_col_2}\nLIMIT {top_k};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=cli", + "problem_index_within_template=5", + "sql_variant_index=2/2", + "binding_index=136" + ], + "template_selection_mode": "cli", + "selected_template_rank": 12, + "problem_index_within_template": 5, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_66a66f603592f1cc", + "problem_id": "v2p_m8_b909b63f21d934e1", + "dataset_id": "m8", + "template_id": "tpl_tail_pairwise_sparse_slice_v2", + "template_name": "Pairwise Sparse Slice Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Pairwise Sparse Slice Count to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=marital, group_col_2=day.", + "bindings": { + "group_col": "marital", + "group_col_2": "day", + "top_k": 12, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n {group_col_2},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY support ASC, {group_col}, {group_col_2}\nLIMIT {top_k};", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=cli", + "problem_index_within_template=6", + "sql_variant_index=1/1", + "binding_index=137" + ], + "template_selection_mode": "cli", + "selected_template_rank": 12, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_f3f41add0ddd46bb", + "problem_id": "v2p_m8_41a6a7b9a41e4abc", + "dataset_id": "m8", + "template_id": "tpl_tail_pairwise_sparse_slice_v2", + "template_name": "Pairwise Sparse Slice Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Pairwise Sparse Slice Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=marital, group_col_2=month.", + "bindings": { + "group_col": "marital", + "group_col_2": "month", + "top_k": 13, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": -1.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n {group_col_2},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY support ASC, {group_col}, {group_col_2}\nLIMIT {top_k};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=cli", + "problem_index_within_template=7", + "sql_variant_index=1/2", + "binding_index=138" + ], + "template_selection_mode": "cli", + "selected_template_rank": 12, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_3a18bbf0a28da91e", + "problem_id": "v2p_m8_af682f517d070793", + "dataset_id": "m8", + "template_id": "tpl_tail_pairwise_sparse_slice_v2", + "template_name": "Pairwise Sparse Slice Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Pairwise Sparse Slice Count to probe tail_set_consistency with semantic role filtered_stable_view. Focus on group_col=marital, group_col_2=month.", + "bindings": { + "group_col": "marital", + "group_col_2": "month", + "top_k": 18, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": -1.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n {group_col_2},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY support ASC, {group_col}, {group_col_2}\nLIMIT {top_k};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=cli", + "problem_index_within_template=7", + "sql_variant_index=2/2", + "binding_index=138" + ], + "template_selection_mode": "cli", + "selected_template_rank": 12, + "problem_index_within_template": 7, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m8_e1e2dbb02462c8de", + "problem_id": "v2p_m8_9249f67719b8193f", + "dataset_id": "m8", + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=age.", + "bindings": { + "group_col": "age" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=1", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_403fc9cab18b8fe4", + "problem_id": "v2p_m8_cf7f4d55e50854be", + "dataset_id": "m8", + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=job.", + "bindings": { + "group_col": "job" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=2", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_1426fde6a3787f23", + "problem_id": "v2p_m8_d81b539c2ed29a2e", + "dataset_id": "m8", + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=marital.", + "bindings": { + "group_col": "marital" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=3", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_966ce439ed2b3013", + "problem_id": "v2p_m8_b42bc72cbf4c5f9f", + "dataset_id": "m8", + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=education.", + "bindings": { + "group_col": "education" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=4", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_28fc77aa174f36cf", + "problem_id": "v2p_m8_525ee013caf2d253", + "dataset_id": "m8", + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=default.", + "bindings": { + "group_col": "default" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=5", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_eaa5a41b648ad63f", + "problem_id": "v2p_m8_cf600958860dea13", + "dataset_id": "m8", + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=housing.", + "bindings": { + "group_col": "housing" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=6", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_9467864d0bb8592b", + "problem_id": "v2p_m8_fb078887d7b36e8b", + "dataset_id": "m8", + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=loan.", + "bindings": { + "group_col": "loan" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=7", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_c9b9ade28931c2f9", + "problem_id": "v2p_m8_b96cb03bef524ee7", + "dataset_id": "m8", + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=contact.", + "bindings": { + "group_col": "contact" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=8", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_86f4da5cfb4eedc8", + "problem_id": "v2p_m8_30dd46f61705efe8", + "dataset_id": "m8", + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=day.", + "bindings": { + "group_col": "day" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=9", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_a3bb2a3db7fe3692", + "problem_id": "v2p_m8_6f24df1f4a23c122", + "dataset_id": "m8", + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=month.", + "bindings": { + "group_col": "month" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=10", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 10, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_0aa8f208d2661388", + "problem_id": "v2p_m8_4e8d55c9c30da20b", + "dataset_id": "m8", + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=campaign.", + "bindings": { + "group_col": "campaign" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=11", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 11, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_93b5c676409fc96e", + "problem_id": "v2p_m8_d4b65085839c95fc", + "dataset_id": "m8", + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=pdays.", + "bindings": { + "group_col": "pdays" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=12", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 12, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_50dff295dcc6d80d", + "problem_id": "v2p_m8_6982cf3fe32d860e", + "dataset_id": "m8", + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=previous.", + "bindings": { + "group_col": "previous" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=13", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 13, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_e755276d2e864a2e", + "problem_id": "v2p_m8_a33b889314f3bab4", + "dataset_id": "m8", + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=poutcome.", + "bindings": { + "group_col": "poutcome" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=14", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 14, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_3ff715411e9da943", + "problem_id": "v2p_m8_14b3cc7800b08395", + "dataset_id": "m8", + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=y.", + "bindings": { + "group_col": "y" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=15", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 15, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_34acabb03f941cc8", + "problem_id": "v2p_m8_cb6bba780a868b96", + "dataset_id": "m8", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=age.", + "bindings": { + "group_col": "age" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=1", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_514399d6bc7ab14a", + "problem_id": "v2p_m8_ca27fbe2a47cdd60", + "dataset_id": "m8", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=job.", + "bindings": { + "group_col": "job" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=2", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_6d46e7c506658351", + "problem_id": "v2p_m8_0bafa84e070efaba", + "dataset_id": "m8", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=marital.", + "bindings": { + "group_col": "marital" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=3", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_ff5180d33cd410c4", + "problem_id": "v2p_m8_dcb8c2968cf293b5", + "dataset_id": "m8", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=education.", + "bindings": { + "group_col": "education" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=4", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_f772a1d2acf37972", + "problem_id": "v2p_m8_50168ff9a75d0cdf", + "dataset_id": "m8", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=default.", + "bindings": { + "group_col": "default" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=5", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_dae1e55630e0102c", + "problem_id": "v2p_m8_7eb18b629b7707c4", + "dataset_id": "m8", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=housing.", + "bindings": { + "group_col": "housing" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=6", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_0b551c560f03540a", + "problem_id": "v2p_m8_d23e1a7429b1178f", + "dataset_id": "m8", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=loan.", + "bindings": { + "group_col": "loan" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=7", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_490b3aa304a60c42", + "problem_id": "v2p_m8_5a9416cfba84bbb2", + "dataset_id": "m8", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=contact.", + "bindings": { + "group_col": "contact" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=8", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_d4c5f3a21212c957", + "problem_id": "v2p_m8_86ec324e025e7729", + "dataset_id": "m8", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=day.", + "bindings": { + "group_col": "day" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=9", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_642feaa67be428f0", + "problem_id": "v2p_m8_f1623a6333833992", + "dataset_id": "m8", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=month.", + "bindings": { + "group_col": "month" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=10", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 10, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_143cd170c16deca8", + "problem_id": "v2p_m8_8f8c8bb7389ed894", + "dataset_id": "m8", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=campaign.", + "bindings": { + "group_col": "campaign" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=11", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 11, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_6bf14329a0cb18dc", + "problem_id": "v2p_m8_bb6bd4cdcbd0d240", + "dataset_id": "m8", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=pdays.", + "bindings": { + "group_col": "pdays" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=12", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 12, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_5a93edf5bbb3a556", + "problem_id": "v2p_m8_049ea7dba6087d54", + "dataset_id": "m8", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=previous.", + "bindings": { + "group_col": "previous" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=13", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 13, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_7b16b6821b98334e", + "problem_id": "v2p_m8_cb3813670e7b39e6", + "dataset_id": "m8", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=poutcome.", + "bindings": { + "group_col": "poutcome" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=14", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 14, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_607d09874b112e42", + "problem_id": "v2p_m8_b67d10b72f9ebffc", + "dataset_id": "m8", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=y.", + "bindings": { + "group_col": "y" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=15", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 15, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_6ef49dcdcdc3a88c", + "problem_id": "v2p_m8_2473549bb1c81b63", + "dataset_id": "m8", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=balance, key_col=age.", + "bindings": { + "key_col": "age", + "measure_col": "balance", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=1", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_7981e9857c17596c", + "problem_id": "v2p_m8_4d19610d1e8b140f", + "dataset_id": "m8", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=day, key_col=age.", + "bindings": { + "key_col": "age", + "measure_col": "day", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=2", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_0e68d0c921655836", + "problem_id": "v2p_m8_0988285421062b1e", + "dataset_id": "m8", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=duration, key_col=age.", + "bindings": { + "key_col": "age", + "measure_col": "duration", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=3", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_138d71a92d067c4a", + "problem_id": "v2p_m8_d88b435dba1b9afe", + "dataset_id": "m8", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=age, key_col=balance.", + "bindings": { + "key_col": "balance", + "measure_col": "age", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=4", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_1de98a0254a64e85", + "problem_id": "v2p_m8_bd731c3ee0dc0015", + "dataset_id": "m8", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=day, key_col=balance.", + "bindings": { + "key_col": "balance", + "measure_col": "day", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=5", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_8bcdcafbb42e325e", + "problem_id": "v2p_m8_d0980c83a125a150", + "dataset_id": "m8", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=duration, key_col=balance.", + "bindings": { + "key_col": "balance", + "measure_col": "duration", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=6", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_55892638d8f1fa11", + "problem_id": "v2p_m8_2510457a03161b1a", + "dataset_id": "m8", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=age, key_col=day.", + "bindings": { + "key_col": "day", + "measure_col": "age", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=7", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_d86cd7ce776b11b6", + "problem_id": "v2p_m8_4b6b7afa3c9a152d", + "dataset_id": "m8", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=balance, key_col=day.", + "bindings": { + "key_col": "day", + "measure_col": "balance", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=8", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_f6212c62e8a5b37b", + "problem_id": "v2p_m8_f947b6a79cef21ab", + "dataset_id": "m8", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=duration, key_col=day.", + "bindings": { + "key_col": "day", + "measure_col": "duration", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=9", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_706c2cc102c6ed41", + "problem_id": "v2p_m8_4fa8c99372820aed", + "dataset_id": "m8", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=age, key_col=duration.", + "bindings": { + "key_col": "duration", + "measure_col": "age", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=10", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 10, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_b5894444a8786210", + "problem_id": "v2p_m8_ef72217999aad45b", + "dataset_id": "m8", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=balance, key_col=duration.", + "bindings": { + "key_col": "duration", + "measure_col": "balance", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=11", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 11, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_4e9b30be950ca61e", + "problem_id": "v2p_m8_cfa594e421626f85", + "dataset_id": "m8", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=day, key_col=duration.", + "bindings": { + "key_col": "duration", + "measure_col": "day", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=12", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 12, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_032e290a496b0343", + "problem_id": "v2p_m8_5b425ab6f1221d73", + "dataset_id": "m8", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=age, key_col=campaign.", + "bindings": { + "key_col": "campaign", + "measure_col": "age", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=13", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 13, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_a3ce9eb574e13151", + "problem_id": "v2p_m8_9b29ad75406bc5fe", + "dataset_id": "m8", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=balance, key_col=campaign.", + "bindings": { + "key_col": "campaign", + "measure_col": "balance", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=14", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 14, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_e06bd13aa78bee64", + "problem_id": "v2p_m8_2e1b838e22f377ba", + "dataset_id": "m8", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=day, key_col=campaign.", + "bindings": { + "key_col": "campaign", + "measure_col": "day", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=15", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 15, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_a613f6e74733f6fd", + "problem_id": "v2p_m8_0f94ff5ae9a6d77d", + "dataset_id": "m8", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=duration, key_col=campaign.", + "bindings": { + "key_col": "campaign", + "measure_col": "duration", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=16", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 16, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_3b818a84b46df65e", + "problem_id": "v2p_m8_be4c3afe59575363", + "dataset_id": "m8", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=age, key_col=pdays.", + "bindings": { + "key_col": "pdays", + "measure_col": "age", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=17", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 17, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_57c50fb37b4390df", + "problem_id": "v2p_m8_2ddef7bb7a0e7f7f", + "dataset_id": "m8", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=balance, key_col=pdays.", + "bindings": { + "key_col": "pdays", + "measure_col": "balance", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=18", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 18, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_9b513b37365cb25c", + "problem_id": "v2p_m8_3621ff8f607a5383", + "dataset_id": "m8", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=day, key_col=pdays.", + "bindings": { + "key_col": "pdays", + "measure_col": "day", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=19", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 19, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_106b2d209992604a", + "problem_id": "v2p_m8_420a0112d55ed59e", + "dataset_id": "m8", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=duration, key_col=pdays.", + "bindings": { + "key_col": "pdays", + "measure_col": "duration", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=20", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 20, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_90751c5f6337d4a5", + "problem_id": "v2p_m8_fa374f85c60da3b7", + "dataset_id": "m8", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=age, key_col=previous.", + "bindings": { + "key_col": "previous", + "measure_col": "age", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=21", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 21, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_16eb49b1fb46d0f5", + "problem_id": "v2p_m8_fd4a86e8c13c1a0e", + "dataset_id": "m8", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=balance, key_col=previous.", + "bindings": { + "key_col": "previous", + "measure_col": "balance", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=22", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 22, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_ced6ce5f8f3c17ed", + "problem_id": "v2p_m8_7b2319e9730b705f", + "dataset_id": "m8", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=day, key_col=previous.", + "bindings": { + "key_col": "previous", + "measure_col": "day", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=23", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 23, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m8_e4ed767e33e638af", + "problem_id": "v2p_m8_082834166c4fbfdc", + "dataset_id": "m8", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=duration, key_col=previous.", + "bindings": { + "key_col": "previous", + "measure_col": "duration", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=24", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 24, + "sql_variant_index": 1, + "sql_variant_total": 1 + } + ], + "deficits": [ + { + "dataset_id": "m8", + "canonical_subitem_id": "tail_mass_similarity", + "reason": "planned_agent_sql_below_minimum", + "planned_agent_sql_count": 3, + "required_agent_sql_count": 5 + } + ] +}