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  1. interval/synthetic-data/industries/supply-chain/default/baseline/customers.parquet +3 -0
  2. interval/synthetic-data/industries/supply-chain/default/baseline/inventory.parquet +3 -0
  3. interval/synthetic-data/industries/supply-chain/default/baseline/materials.parquet +3 -0
  4. interval/synthetic-data/industries/supply-chain/default/baseline/production_runs.parquet +3 -0
  5. interval/synthetic-data/industries/supply-chain/default/baseline/products.parquet +3 -0
  6. interval/synthetic-data/industries/supply-chain/default/baseline/sales_orders.parquet +3 -0
  7. interval/synthetic-data/industries/supply-chain/default/baseline/shipments.parquet +3 -0
  8. interval/synthetic-data/industries/supply-chain/default/baseline/suppliers.parquet +3 -0
  9. interval/synthetic-data/industries/supply-chain/default/configs/axiom_interpretations.yaml +32 -0
  10. interval/synthetic-data/industries/supply-chain/default/configs/axioms.yaml +24 -0
  11. interval/synthetic-data/industries/supply-chain/default/configs/bottleneck_hidden_premium_sand.yaml +66 -0
  12. interval/synthetic-data/industries/supply-chain/default/configs/config_manifest.json +11 -0
  13. interval/synthetic-data/industries/supply-chain/default/configs/domain_model.yaml +34 -0
  14. interval/synthetic-data/industries/supply-chain/default/configs/supply_chain_expectations.yaml +18 -0
  15. interval/synthetic-data/industries/supply-chain/default/configs/supply_chain_profile.yaml +25 -0
  16. interval/synthetic-data/industries/supply-chain/default/configs/supply_chain_questions.yaml +13 -0
  17. interval/synthetic-data/industries/supply-chain/default/configs/supply_chain_schema_v1.yaml +209 -0
  18. interval/synthetic-data/industries/supply-chain/default/configs/supply_chain_signals.yaml +17 -0
  19. interval/synthetic-data/industries/supply-chain/default/default.bundle.json +962 -0
  20. interval/synthetic-data/industries/supply-chain/default/story/customers.parquet +3 -0
  21. interval/synthetic-data/industries/supply-chain/default/story/inventory.parquet +3 -0
  22. interval/synthetic-data/industries/supply-chain/default/story/materials.parquet +3 -0
  23. interval/synthetic-data/industries/supply-chain/default/story/production_runs.parquet +3 -0
  24. interval/synthetic-data/industries/supply-chain/default/story/products.parquet +3 -0
  25. interval/synthetic-data/industries/supply-chain/default/story/sales_orders.parquet +3 -0
  26. interval/synthetic-data/industries/supply-chain/default/story/shipments.parquet +3 -0
  27. interval/synthetic-data/industries/supply-chain/default/story/suppliers.parquet +3 -0
interval/synthetic-data/industries/supply-chain/default/baseline/customers.parquet ADDED
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interval/synthetic-data/industries/supply-chain/default/baseline/inventory.parquet ADDED
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interval/synthetic-data/industries/supply-chain/default/baseline/materials.parquet ADDED
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interval/synthetic-data/industries/supply-chain/default/baseline/production_runs.parquet ADDED
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interval/synthetic-data/industries/supply-chain/default/baseline/products.parquet ADDED
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interval/synthetic-data/industries/supply-chain/default/baseline/sales_orders.parquet ADDED
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interval/synthetic-data/industries/supply-chain/default/baseline/shipments.parquet ADDED
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interval/synthetic-data/industries/supply-chain/default/baseline/suppliers.parquet ADDED
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interval/synthetic-data/industries/supply-chain/default/configs/axiom_interpretations.yaml ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ interpretations:
2
+ - meta:
3
+ id: "AX-002-SC"
4
+ version: "v0.1"
5
+ description: "Supply chain view of bottlenecks and throughput."
6
+ tags:
7
+ industry: "supply_chain"
8
+ axiom_id: "AX-002"
9
+ industry_id: "supply-chain"
10
+ interpretation: "Process throughput is constrained by Premium Sand availability."
11
+ risk_factors:
12
+ - "Single-source material dependency"
13
+ - "Long supplier lead times"
14
+ return_drivers:
15
+ - "Inventory buffering at constrained nodes"
16
+ - "Diversified sourcing"
17
+
18
+ - meta:
19
+ id: "AX-003-SC"
20
+ version: "v0.1"
21
+ description: "Bullwhip effect in the supply chain context."
22
+ tags:
23
+ industry: "supply_chain"
24
+ axiom_id: "AX-003"
25
+ industry_id: "supply-chain"
26
+ interpretation: "Inventory swings at Premium Sand amplify downstream production volatility."
27
+ risk_factors:
28
+ - "Poor visibility into upstream stock"
29
+ - "Overreaction to short-term demand"
30
+ return_drivers:
31
+ - "Smoothing reorder policies"
32
+ - "Shared demand signals across tiers"
interval/synthetic-data/industries/supply-chain/default/configs/axioms.yaml ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ axioms:
2
+ - id: AX-001
3
+ version: v0.1
4
+ text: "Capital flows to the highest risk-adjusted return."
5
+ description: "Investors and firms allocate resources toward opportunities where returns justify their risks."
6
+ tags: ["capital_allocation", "returns", "risk"]
7
+
8
+ - id: AX-002
9
+ version: v0.1
10
+ text: "Bottlenecks constrain overall system throughput."
11
+ description: "The slowest or most constrained step in a process limits overall output."
12
+ tags: ["bottleneck", "throughput", "operations"]
13
+
14
+ - id: AX-003
15
+ version: v0.1
16
+ text: "Inventory buffers propagate and amplify upstream and downstream."
17
+ description: "Local decisions on inventory and reorder policies can create amplified swings in the supply chain."
18
+ tags: ["inventory", "bullwhip_effect", "supply_chain"]
19
+
20
+ - id: AX-004
21
+ version: v0.1
22
+ text: "Demand and supply shocks drive price and quantity adjustments."
23
+ description: "Unexpected changes in supply or demand induce price and quantity adjustments over time."
24
+ tags: ["demand_shock", "supply_shock", "price"]
interval/synthetic-data/industries/supply-chain/default/configs/bottleneck_hidden_premium_sand.yaml ADDED
@@ -0,0 +1,66 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ meta:
2
+ id: "STR-SC-BOTTLENECK-001"
3
+ version: "v0.1"
4
+ description: "Hidden bottleneck in Premium Sand that impacts production and revenue."
5
+ tags:
6
+ story_type: "bottleneck"
7
+
8
+ industry_id: "supply-chain"
9
+
10
+ title: "Story: Hidden Bottleneck across Premium Sand → Glass Bottles → Beverage"
11
+ story_type: "bottleneck_supply_chain"
12
+
13
+ overview: >
14
+ A critical material 'Premium Sand' accumulates long dwell times in inventory,
15
+ causing production downtime for 'Glass Bottles' and severe revenue and margin
16
+ impact for 'Premium Beverage'.
17
+
18
+ time_scope:
19
+ length_periods: 12
20
+ story_onset_period: 4
21
+
22
+ scenarios:
23
+ - "default_baseline"
24
+ - "bottleneck_hidden_premium_sand"
25
+
26
+ target_question_ids:
27
+ - "Q-SC-BOTTLENECK-001"
28
+
29
+ entities:
30
+ materials:
31
+ bottleneck_material:
32
+ id: "MAT-PREMIUM-SAND"
33
+ name: "Premium Sand"
34
+ alternate:
35
+ id: "MAT-INDUSTRIAL-SAND"
36
+ name: "Industrial Sand"
37
+ products:
38
+ intermediate:
39
+ id: "PROD-GLASS-BOTTLES"
40
+ name: "Glass Bottles"
41
+ final:
42
+ id: "PROD-PREMIUM-BEVERAGE"
43
+ name: "Premium Beverage"
44
+ customers:
45
+ strategic:
46
+ id: "CUST-STRAT-001"
47
+ name: "Strategic Wholesale"
48
+ regional:
49
+ id: "CUST-REG-002"
50
+ name: "Regional Retail"
51
+ suppliers:
52
+ prime:
53
+ id: "SUP-ALPHA"
54
+ name: "Alpha Minerals"
55
+ backup:
56
+ id: "SUP-BETA"
57
+ name: "Beta Aggregates"
58
+
59
+ expected_signals:
60
+ - "Premium Sand dwell time >> other materials after period 4."
61
+ - "Glass Bottles downtime spikes and throughput drops after onset."
62
+ - "Premium Beverage revenue and margin fall sharply; backorders spike."
63
+ - "Shipment on-time performance degrades after onset."
64
+
65
+ qa_expectations_ids:
66
+ - "QA-SC-BOTTLENECK-001"
interval/synthetic-data/industries/supply-chain/default/configs/config_manifest.json ADDED
@@ -0,0 +1,11 @@
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "axioms.yaml": "085a3373e55cd70209c1ece084dc8a0196ecdadd1a3c81273c2a769a9bb4e3da"
3
+ "axiom_interpretations.yaml": "056d6645a7c5ec747713fa037d58b658479f3cfbb40c81c71801a2fb1a626f35"
4
+ "supply_chain_profile.yaml": "a7e3106bca1b257376b13e6f83ed9e66d40643799c445845825e2ef31a70461d"
5
+ "domain_model.yaml": "4888a8b1ffed89e0e3e80a35bc0a10d60c020e026094538dd902d01a3bb22cba"
6
+ "supply_chain_schema_v1.yaml": "e7919cf1d4a99d487755dc1e59d8854f18c9fcf6171b8ee2413d6a98b4f06bb0"
7
+ "bottleneck_hidden_premium_sand.yaml": "4868591740283dc60a8ab44910f9d3ccfe736578c3845cb7b38d83cdf95cdcd5"
8
+ "supply_chain_questions.yaml": "537cf29c122ad31363147f3430b00c0f993e0f4d4051c2434a4460d7f96e4961"
9
+ "supply_chain_signals.yaml": "43e3bb06f59a7ca480a144ecddd4e0517696c8a5678464273f6f8276547b9a95"
10
+ "supply_chain_expectations.yaml": "fae598420f0cff6f33a29303bd853ce246cc80857729ab348bfce8a5b3e4a489"
11
+ }
interval/synthetic-data/industries/supply-chain/default/configs/domain_model.yaml ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ meta:
2
+ id: "DM-SC-001"
3
+ version: "v0.1"
4
+ description: "Key entities and relationships for the supply chain domain."
5
+ tags:
6
+ industry: "supply_chain"
7
+
8
+ industry_id: "supply-chain"
9
+
10
+ entities:
11
+ - name: "Material"
12
+ description: "Inputs to production with lead times and quality attributes."
13
+ attributes:
14
+ id: "Material identifier"
15
+ lead_time_days: "Supplier lead time"
16
+ dwell_time_days: "Inventory dwell"
17
+ - name: "Product"
18
+ description: "Intermediate or finished goods produced from materials."
19
+ attributes:
20
+ id: "Product identifier"
21
+ stage: "Production stage (intermediate/final)"
22
+ downtime_rate: "Proportion of time the line is down"
23
+ - name: "Order"
24
+ description: "Customer orders for finished products."
25
+ attributes:
26
+ id: "Order identifier"
27
+ quantity_per_order: "Units per order"
28
+ price_per_unit: "Unit selling price"
29
+ cost_per_unit: "Unit cost"
30
+ backorder_rate: "Proportion of unfilled orders"
31
+
32
+ relationships:
33
+ - "Material -> Product: materials feed production stages"
34
+ - "Product -> Order: products fulfill customer demand"
interval/synthetic-data/industries/supply-chain/default/configs/supply_chain_expectations.yaml ADDED
@@ -0,0 +1,18 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ expectations:
2
+ - id: "QA-SC-BOTTLENECK-001"
3
+ name: "Premium Sand dwell time increases after story onset"
4
+ kind: "dwell_increase"
5
+ threshold_multiplier: 2.5
6
+ material_id: "MAT-PREMIUM-SAND"
7
+
8
+ - id: "QA-SC-BOTTLENECK-002"
9
+ name: "Glass Bottles downtime spikes after story onset"
10
+ kind: "downtime_increase"
11
+ threshold_multiplier: 3.0
12
+ product_id: "PROD-GLASS-BOTTLES"
13
+
14
+ - id: "QA-SC-BOTTLENECK-003"
15
+ name: "Premium Beverage gross margin drops after story onset"
16
+ kind: "margin_drop"
17
+ threshold_fraction: 0.25
18
+ product_id: "PROD-PREMIUM-BEVERAGE"
interval/synthetic-data/industries/supply-chain/default/configs/supply_chain_profile.yaml ADDED
@@ -0,0 +1,25 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ meta:
2
+ id: "supply-chain"
3
+ version: "v0.1"
4
+ description: "Multi-stage supply chain with materials, production stages, and finished goods."
5
+ tags:
6
+ industry: "supply_chain"
7
+
8
+ name: "Supply Chain – Generic Manufacturing"
9
+ description: >
10
+ A generic multi-stage manufacturing supply chain with raw materials,
11
+ intermediate goods, and finished products flowing from suppliers to customers.
12
+
13
+ key_characteristics:
14
+ - Capital intensive inventory and production assets
15
+ - Lead times across multiple stages
16
+ - Exposure to bottlenecks at critical materials or processes
17
+ - Demand uncertainty from downstream customers
18
+
19
+ typical_metrics:
20
+ - inventory_dwell_days
21
+ - production_downtime_rate
22
+ - order_fill_rate
23
+ - backorder_rate
24
+ - revenue
25
+ - gross_margin
interval/synthetic-data/industries/supply-chain/default/configs/supply_chain_questions.yaml ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ questions:
2
+ - id: "Q-SC-BOTTLENECK-001"
3
+ text: "What hidden bottleneck is driving downtime and backorders?"
4
+ category: "diagnostics"
5
+ axiom_ids:
6
+ - "AX-002"
7
+ - "AX-003"
8
+ - id: "Q-SC-BOTTLENECK-002"
9
+ text: "Which signals confirm the Premium Sand constraint is the root cause?"
10
+ category: "validation"
11
+ axiom_ids:
12
+ - "AX-002"
13
+ - "AX-003"
interval/synthetic-data/industries/supply-chain/default/configs/supply_chain_schema_v1.yaml ADDED
@@ -0,0 +1,209 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ meta:
2
+ id: "SCH-SC-001"
3
+ version: "v0.1"
4
+ description: "Richer multi-table schema for supply chain synthetic data (parquet)."
5
+ tags:
6
+ industry: "supply_chain"
7
+
8
+ industry_id: "supply-chain"
9
+ time_resolution: "monthly"
10
+
11
+ tables:
12
+ - name: "materials"
13
+ description: "Material master data."
14
+ primary_key: ["material_id"]
15
+ fields:
16
+ - name: "material_id"
17
+ dtype: "string"
18
+ nullable: false
19
+ - name: "material_name"
20
+ dtype: "string"
21
+ nullable: false
22
+ - name: "material_category"
23
+ dtype: "string"
24
+ nullable: false
25
+ - name: "material_type"
26
+ dtype: "string"
27
+ nullable: false
28
+ - name: "criticality"
29
+ dtype: "string"
30
+ nullable: false
31
+ - name: "unit_cost"
32
+ dtype: "float"
33
+ nullable: false
34
+ - name: "supplier_id"
35
+ dtype: "string"
36
+ nullable: false
37
+ references:
38
+ table: "suppliers"
39
+ field: "supplier_id"
40
+ - name: "units_per_pallet"
41
+ dtype: "int"
42
+ nullable: false
43
+
44
+ - name: "suppliers"
45
+ description: "Suppliers with ratings and locations."
46
+ primary_key: ["supplier_id"]
47
+ fields:
48
+ - name: "supplier_id"
49
+ dtype: "string"
50
+ nullable: false
51
+ - name: "supplier_name"
52
+ dtype: "string"
53
+ nullable: false
54
+ - name: "supplier_location"
55
+ dtype: "string"
56
+ nullable: false
57
+ - name: "supplier_rating"
58
+ dtype: "int"
59
+ nullable: false
60
+
61
+ - name: "products"
62
+ description: "Product master data."
63
+ primary_key: ["product_id"]
64
+ fields:
65
+ - name: "product_id"
66
+ dtype: "string"
67
+ nullable: false
68
+ - name: "product_name"
69
+ dtype: "string"
70
+ nullable: false
71
+ - name: "product_category"
72
+ dtype: "string"
73
+ nullable: false
74
+ - name: "product_type"
75
+ dtype: "string"
76
+ nullable: false
77
+ - name: "standard_cost_per_unit"
78
+ dtype: "float"
79
+ nullable: false
80
+ - name: "target_margin"
81
+ dtype: "float"
82
+ nullable: false
83
+
84
+ - name: "customers"
85
+ description: "Customers with segment and region."
86
+ primary_key: ["customer_id"]
87
+ fields:
88
+ - name: "customer_id"
89
+ dtype: "string"
90
+ nullable: false
91
+ - name: "customer_name"
92
+ dtype: "string"
93
+ nullable: false
94
+ - name: "customer_segment"
95
+ dtype: "string"
96
+ nullable: false
97
+ - name: "region"
98
+ dtype: "string"
99
+ nullable: false
100
+
101
+ - name: "inventory"
102
+ description: "Inventory dwell and quantity for materials."
103
+ primary_key: ["period", "material_id"]
104
+ fields:
105
+ - name: "period"
106
+ dtype: "string"
107
+ nullable: false
108
+ - name: "material_id"
109
+ dtype: "string"
110
+ nullable: false
111
+ references:
112
+ table: "materials"
113
+ field: "material_id"
114
+ - name: "on_hand_qty"
115
+ dtype: "int"
116
+ nullable: false
117
+ - name: "dwell_time_days"
118
+ dtype: "float"
119
+ nullable: false
120
+
121
+ - name: "production_runs"
122
+ description: "Production output, downtime, and scrap."
123
+ primary_key: ["period", "product_id"]
124
+ fields:
125
+ - name: "period"
126
+ dtype: "string"
127
+ nullable: false
128
+ - name: "product_id"
129
+ dtype: "string"
130
+ nullable: false
131
+ references:
132
+ table: "products"
133
+ field: "product_id"
134
+ - name: "produced_qty"
135
+ dtype: "int"
136
+ nullable: false
137
+ - name: "downtime_rate"
138
+ dtype: "float"
139
+ nullable: false
140
+ - name: "scrap_rate"
141
+ dtype: "float"
142
+ nullable: false
143
+
144
+ - name: "sales_orders"
145
+ description: "Aggregated sales orders per product per period."
146
+ primary_key: ["period", "product_id", "order_id"]
147
+ fields:
148
+ - name: "period"
149
+ dtype: "string"
150
+ nullable: false
151
+ - name: "order_id"
152
+ dtype: "string"
153
+ nullable: false
154
+ - name: "product_id"
155
+ dtype: "string"
156
+ nullable: false
157
+ references:
158
+ table: "products"
159
+ field: "product_id"
160
+ - name: "customer_id"
161
+ dtype: "string"
162
+ nullable: false
163
+ references:
164
+ table: "customers"
165
+ field: "customer_id"
166
+ - name: "quantity"
167
+ dtype: "int"
168
+ nullable: false
169
+ - name: "price_per_unit"
170
+ dtype: "float"
171
+ nullable: false
172
+ - name: "cost_per_unit"
173
+ dtype: "float"
174
+ nullable: false
175
+ - name: "backorder_rate"
176
+ dtype: "float"
177
+ nullable: false
178
+ - name: "revenue"
179
+ dtype: "float"
180
+ nullable: false
181
+ - name: "gross_margin"
182
+ dtype: "float"
183
+ nullable: false
184
+
185
+ - name: "shipments"
186
+ description: "Shipment performance linked to orders."
187
+ primary_key: ["period", "shipment_id"]
188
+ fields:
189
+ - name: "period"
190
+ dtype: "string"
191
+ nullable: false
192
+ - name: "shipment_id"
193
+ dtype: "string"
194
+ nullable: false
195
+ - name: "order_id"
196
+ dtype: "string"
197
+ nullable: false
198
+ references:
199
+ table: "sales_orders"
200
+ field: "order_id"
201
+ - name: "carrier"
202
+ dtype: "string"
203
+ nullable: false
204
+ - name: "on_time_rate"
205
+ dtype: "float"
206
+ nullable: false
207
+ - name: "transit_days"
208
+ dtype: "float"
209
+ nullable: false
interval/synthetic-data/industries/supply-chain/default/configs/supply_chain_signals.yaml ADDED
@@ -0,0 +1,17 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ signals:
2
+ - name: "premium_sand_dwell_time"
3
+ description: "Average dwell time for Premium Sand in inventory."
4
+ table: "inventory"
5
+ expression: "mean(dwell_time_days)"
6
+ - name: "premium_beverage_backorder_rate"
7
+ description: "Backorder rate for Premium Beverage in sales."
8
+ table: "sales"
9
+ expression: "mean(backorder_rate)"
10
+ - name: "glass_bottle_downtime"
11
+ description: "Downtime rate for glass bottle production."
12
+ table: "production_runs"
13
+ expression: "mean(downtime_rate)"
14
+ - name: "shipment_on_time_rate"
15
+ description: "Average on-time performance for shipments."
16
+ table: "shipments"
17
+ expression: "mean(on_time_rate)"
interval/synthetic-data/industries/supply-chain/default/default.bundle.json ADDED
@@ -0,0 +1,962 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "meta": {
3
+ "id": "BNDL-SC-BASELINE",
4
+ "version": "v0.1",
5
+ "created_at": "2025-12-01T23:16:23.607558",
6
+ "created_by": "system",
7
+ "description": "Supply Chain – Generic Manufacturing bundle",
8
+ "tags": {
9
+ "industry": "supply-chain",
10
+ "story": "STR-SC-DEFAULT"
11
+ }
12
+ },
13
+ "industry_id": "supply-chain",
14
+ "dataset_key": "default",
15
+ "story_id": "STR-SC-DEFAULT",
16
+ "schema_id": "SCH-SC-001",
17
+ "industry_profile": {
18
+ "meta": {
19
+ "id": "supply-chain",
20
+ "version": "v0.1",
21
+ "created_at": "2025-12-01T23:16:23.551849",
22
+ "created_by": "system",
23
+ "description": "Multi-stage supply chain with materials, production stages, and finished goods.",
24
+ "tags": {
25
+ "industry": "supply_chain"
26
+ }
27
+ },
28
+ "name": "Supply Chain – Generic Manufacturing",
29
+ "description": "A generic multi-stage manufacturing supply chain with raw materials, intermediate goods, and finished products flowing from suppliers to customers.\n",
30
+ "key_characteristics": [
31
+ "Capital intensive inventory and production assets",
32
+ "Lead times across multiple stages",
33
+ "Exposure to bottlenecks at critical materials or processes",
34
+ "Demand uncertainty from downstream customers"
35
+ ],
36
+ "typical_metrics": [
37
+ "inventory_dwell_days",
38
+ "production_downtime_rate",
39
+ "order_fill_rate",
40
+ "backorder_rate",
41
+ "revenue",
42
+ "gross_margin"
43
+ ],
44
+ "notes": null
45
+ },
46
+ "axioms": [
47
+ {
48
+ "meta": {
49
+ "id": "AX-001",
50
+ "version": "v0.1",
51
+ "created_at": "2025-12-01T23:16:23.568991",
52
+ "created_by": "system",
53
+ "description": "Investors and firms allocate resources toward opportunities where returns justify their risks.",
54
+ "tags": {
55
+ "capital_allocation": "true",
56
+ "returns": "true",
57
+ "risk": "true"
58
+ }
59
+ },
60
+ "text": "Capital flows to the highest risk-adjusted return.",
61
+ "examples": [],
62
+ "tags": [
63
+ "capital_allocation",
64
+ "returns",
65
+ "risk"
66
+ ]
67
+ },
68
+ {
69
+ "meta": {
70
+ "id": "AX-002",
71
+ "version": "v0.1",
72
+ "created_at": "2025-12-01T23:16:23.568995",
73
+ "created_by": "system",
74
+ "description": "The slowest or most constrained step in a process limits overall output.",
75
+ "tags": {
76
+ "bottleneck": "true",
77
+ "throughput": "true",
78
+ "operations": "true"
79
+ }
80
+ },
81
+ "text": "Bottlenecks constrain overall system throughput.",
82
+ "examples": [],
83
+ "tags": [
84
+ "bottleneck",
85
+ "throughput",
86
+ "operations"
87
+ ]
88
+ },
89
+ {
90
+ "meta": {
91
+ "id": "AX-003",
92
+ "version": "v0.1",
93
+ "created_at": "2025-12-01T23:16:23.568997",
94
+ "created_by": "system",
95
+ "description": "Local decisions on inventory and reorder policies can create amplified swings in the supply chain.",
96
+ "tags": {
97
+ "inventory": "true",
98
+ "bullwhip_effect": "true",
99
+ "supply_chain": "true"
100
+ }
101
+ },
102
+ "text": "Inventory buffers propagate and amplify upstream and downstream.",
103
+ "examples": [],
104
+ "tags": [
105
+ "inventory",
106
+ "bullwhip_effect",
107
+ "supply_chain"
108
+ ]
109
+ },
110
+ {
111
+ "meta": {
112
+ "id": "AX-004",
113
+ "version": "v0.1",
114
+ "created_at": "2025-12-01T23:16:23.568999",
115
+ "created_by": "system",
116
+ "description": "Unexpected changes in supply or demand induce price and quantity adjustments over time.",
117
+ "tags": {
118
+ "demand_shock": "true",
119
+ "supply_shock": "true",
120
+ "price": "true"
121
+ }
122
+ },
123
+ "text": "Demand and supply shocks drive price and quantity adjustments.",
124
+ "examples": [],
125
+ "tags": [
126
+ "demand_shock",
127
+ "supply_shock",
128
+ "price"
129
+ ]
130
+ }
131
+ ],
132
+ "axiom_interpretations": [
133
+ {
134
+ "meta": {
135
+ "id": "AX-002-SC",
136
+ "version": "v0.1",
137
+ "created_at": "2025-12-01T23:16:23.566799",
138
+ "created_by": "system",
139
+ "description": "Supply chain view of bottlenecks and throughput.",
140
+ "tags": {
141
+ "industry": "supply_chain"
142
+ }
143
+ },
144
+ "axiom_id": "AX-002",
145
+ "industry_id": "supply-chain",
146
+ "interpretation": "Process throughput is constrained by Premium Sand availability.",
147
+ "risk_factors": [
148
+ "Single-source material dependency",
149
+ "Long supplier lead times"
150
+ ],
151
+ "return_drivers": [
152
+ "Inventory buffering at constrained nodes",
153
+ "Diversified sourcing"
154
+ ]
155
+ },
156
+ {
157
+ "meta": {
158
+ "id": "AX-003-SC",
159
+ "version": "v0.1",
160
+ "created_at": "2025-12-01T23:16:23.566804",
161
+ "created_by": "system",
162
+ "description": "Bullwhip effect in the supply chain context.",
163
+ "tags": {
164
+ "industry": "supply_chain"
165
+ }
166
+ },
167
+ "axiom_id": "AX-003",
168
+ "industry_id": "supply-chain",
169
+ "interpretation": "Inventory swings at Premium Sand amplify downstream production volatility.",
170
+ "risk_factors": [
171
+ "Poor visibility into upstream stock",
172
+ "Overreaction to short-term demand"
173
+ ],
174
+ "return_drivers": [
175
+ "Smoothing reorder policies",
176
+ "Shared demand signals across tiers"
177
+ ]
178
+ }
179
+ ],
180
+ "domain_model": {
181
+ "meta": {
182
+ "id": "DM-SC-001",
183
+ "version": "v0.1",
184
+ "created_at": "2025-12-01T23:16:23.567903",
185
+ "created_by": "system",
186
+ "description": "Key entities and relationships for the supply chain domain.",
187
+ "tags": {
188
+ "industry": "supply_chain"
189
+ }
190
+ },
191
+ "industry_id": "supply-chain",
192
+ "entities": [
193
+ {
194
+ "name": "Material",
195
+ "description": "Inputs to production with lead times and quality attributes.",
196
+ "attributes": {
197
+ "id": "Material identifier",
198
+ "lead_time_days": "Supplier lead time",
199
+ "dwell_time_days": "Inventory dwell"
200
+ }
201
+ },
202
+ {
203
+ "name": "Product",
204
+ "description": "Intermediate or finished goods produced from materials.",
205
+ "attributes": {
206
+ "id": "Product identifier",
207
+ "stage": "Production stage (intermediate/final)",
208
+ "downtime_rate": "Proportion of time the line is down"
209
+ }
210
+ },
211
+ {
212
+ "name": "Order",
213
+ "description": "Customer orders for finished products.",
214
+ "attributes": {
215
+ "id": "Order identifier",
216
+ "quantity_per_order": "Units per order",
217
+ "price_per_unit": "Unit selling price",
218
+ "cost_per_unit": "Unit cost",
219
+ "backorder_rate": "Proportion of unfilled orders"
220
+ }
221
+ }
222
+ ],
223
+ "relationships": [
224
+ "Material -> Product: materials feed production stages",
225
+ "Product -> Order: products fulfill customer demand"
226
+ ]
227
+ },
228
+ "questions": [
229
+ {
230
+ "id": "Q-SC-BOTTLENECK-001",
231
+ "text": "What hidden bottleneck is driving downtime and backorders?",
232
+ "category": "diagnostics",
233
+ "parent_id": null,
234
+ "axiom_ids": [
235
+ "AX-002",
236
+ "AX-003"
237
+ ]
238
+ },
239
+ {
240
+ "id": "Q-SC-BOTTLENECK-002",
241
+ "text": "Which signals confirm the Premium Sand constraint is the root cause?",
242
+ "category": "validation",
243
+ "parent_id": null,
244
+ "axiom_ids": [
245
+ "AX-002",
246
+ "AX-003"
247
+ ]
248
+ }
249
+ ],
250
+ "story": {
251
+ "meta": {
252
+ "id": "STR-SC-DEFAULT",
253
+ "version": "v0.1",
254
+ "created_at": "2025-12-01T23:16:23.560421",
255
+ "created_by": "system",
256
+ "description": "Baseline operations only (no injected story).",
257
+ "tags": {
258
+ "story_type": "baseline"
259
+ }
260
+ },
261
+ "industry_id": "supply-chain",
262
+ "title": "Story: Default Baseline Operations",
263
+ "story_type": "baseline_only",
264
+ "overview": "Baseline operational performance with no injected disruption scenarios.\n",
265
+ "time_scope": {
266
+ "length_periods": 12,
267
+ "story_onset_period": 1
268
+ },
269
+ "target_question_ids": [],
270
+ "scenarios": [
271
+ "default"
272
+ ],
273
+ "entities": {
274
+ "materials": {
275
+ "baseline_material": {
276
+ "id": "MAT-BASELINE-001",
277
+ "name": "Generic Material"
278
+ }
279
+ },
280
+ "products": {
281
+ "baseline_product": {
282
+ "id": "PROD-BASELINE-001",
283
+ "name": "Generic Product"
284
+ }
285
+ },
286
+ "customers": {
287
+ "baseline_customer": {
288
+ "id": "CUST-BASELINE-001",
289
+ "name": "Generic Customer"
290
+ }
291
+ },
292
+ "suppliers": {
293
+ "baseline_supplier": {
294
+ "id": "SUP-BASELINE-001",
295
+ "name": "Generic Supplier"
296
+ }
297
+ }
298
+ },
299
+ "expected_signals": [],
300
+ "qa_expectations_ids": []
301
+ },
302
+ "scenarios": [
303
+ {
304
+ "meta": {
305
+ "id": "SCEN-SC-DEFAULT",
306
+ "version": "v0.1",
307
+ "created_at": "2025-12-01T23:16:23.563740",
308
+ "created_by": "system",
309
+ "description": "Baseline operations (default) for supply chain.",
310
+ "tags": {
311
+ "scenario_type": "baseline"
312
+ }
313
+ },
314
+ "industry_id": "supply-chain",
315
+ "title": "Scenario: Default Operations",
316
+ "priority": 0,
317
+ "merge_strategy": "override",
318
+ "time_scope": {},
319
+ "table_rules": {
320
+ "inventory": [
321
+ {
322
+ "name": "default_inventory",
323
+ "material_ids": [
324
+ "*"
325
+ ],
326
+ "dwell_time_days": {
327
+ "baseline_mean": 7,
328
+ "baseline_std": 0.8,
329
+ "story_mean": 7,
330
+ "story_std": 0.8,
331
+ "min": 1,
332
+ "max": 40
333
+ },
334
+ "on_hand_qty": {
335
+ "baseline_mean": 600,
336
+ "baseline_std": 80,
337
+ "story_mean": 600,
338
+ "story_std": 80,
339
+ "min": 50,
340
+ "max": 2000
341
+ }
342
+ }
343
+ ],
344
+ "production_runs": [
345
+ {
346
+ "name": "default_production",
347
+ "product_ids": [
348
+ "*"
349
+ ],
350
+ "produced_qty": {
351
+ "baseline_mean": 5200,
352
+ "baseline_std": 400,
353
+ "story_mean": 5200,
354
+ "story_std": 400,
355
+ "min": 1000,
356
+ "max": 10000
357
+ },
358
+ "downtime_rate": {
359
+ "baseline_mean": 0.06,
360
+ "baseline_std": 0.01,
361
+ "story_mean": 0.06,
362
+ "story_std": 0.01,
363
+ "min": 0,
364
+ "max": 1
365
+ },
366
+ "scrap_rate": {
367
+ "baseline_mean": 0.02,
368
+ "baseline_std": 0.01,
369
+ "story_mean": 0.02,
370
+ "story_std": 0.01,
371
+ "min": 0,
372
+ "max": 0.5
373
+ }
374
+ }
375
+ ],
376
+ "sales_orders": [
377
+ {
378
+ "name": "default_sales",
379
+ "product_ids": [
380
+ "*"
381
+ ],
382
+ "customer_ids": [
383
+ "*"
384
+ ],
385
+ "quantity": {
386
+ "baseline_mean": 450,
387
+ "baseline_std": 90,
388
+ "story_mean": 450,
389
+ "story_std": 90,
390
+ "min": 10,
391
+ "max": 2000
392
+ },
393
+ "price_per_unit": {
394
+ "baseline_mean": 180,
395
+ "baseline_std": 15,
396
+ "story_mean": 180,
397
+ "story_std": 15,
398
+ "min": 40,
399
+ "max": 400
400
+ },
401
+ "cost_per_unit": {
402
+ "baseline_mean": 120,
403
+ "baseline_std": 10,
404
+ "story_mean": 120,
405
+ "story_std": 10,
406
+ "min": 30,
407
+ "max": 300
408
+ },
409
+ "backorder_rate": {
410
+ "baseline_mean": 0.04,
411
+ "baseline_std": 0.02,
412
+ "story_mean": 0.04,
413
+ "story_std": 0.02,
414
+ "min": 0,
415
+ "max": 1
416
+ }
417
+ }
418
+ ],
419
+ "shipments": [
420
+ {
421
+ "name": "default_shipments",
422
+ "carrier": {
423
+ "choices": [
424
+ "UPS",
425
+ "FedEx",
426
+ "DHL"
427
+ ]
428
+ },
429
+ "on_time_rate": {
430
+ "baseline_mean": 0.95,
431
+ "baseline_std": 0.02,
432
+ "story_mean": 0.95,
433
+ "story_std": 0.02,
434
+ "min": 0.5,
435
+ "max": 1.0
436
+ },
437
+ "transit_days": {
438
+ "baseline_mean": 3.0,
439
+ "baseline_std": 0.5,
440
+ "story_mean": 3.0,
441
+ "story_std": 0.5,
442
+ "min": 1.0,
443
+ "max": 14.0
444
+ }
445
+ }
446
+ ]
447
+ },
448
+ "expected_signals": []
449
+ }
450
+ ],
451
+ "dataset_schema": {
452
+ "meta": {
453
+ "id": "SCH-SC-001",
454
+ "version": "v0.1",
455
+ "created_at": "2025-12-01T23:16:23.559231",
456
+ "created_by": "system",
457
+ "description": "Richer multi-table schema for supply chain synthetic data (parquet).",
458
+ "tags": {
459
+ "industry": "supply_chain"
460
+ }
461
+ },
462
+ "industry_id": "supply-chain",
463
+ "tables": [
464
+ {
465
+ "name": "materials",
466
+ "fields": [
467
+ {
468
+ "name": "material_id",
469
+ "dtype": "string",
470
+ "description": null,
471
+ "nullable": false,
472
+ "references": null
473
+ },
474
+ {
475
+ "name": "material_name",
476
+ "dtype": "string",
477
+ "description": null,
478
+ "nullable": false,
479
+ "references": null
480
+ },
481
+ {
482
+ "name": "material_category",
483
+ "dtype": "string",
484
+ "description": null,
485
+ "nullable": false,
486
+ "references": null
487
+ },
488
+ {
489
+ "name": "material_type",
490
+ "dtype": "string",
491
+ "description": null,
492
+ "nullable": false,
493
+ "references": null
494
+ },
495
+ {
496
+ "name": "criticality",
497
+ "dtype": "string",
498
+ "description": null,
499
+ "nullable": false,
500
+ "references": null
501
+ },
502
+ {
503
+ "name": "unit_cost",
504
+ "dtype": "float",
505
+ "description": null,
506
+ "nullable": false,
507
+ "references": null
508
+ },
509
+ {
510
+ "name": "supplier_id",
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+ "dtype": "string",
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+ "description": null,
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+ "nullable": false,
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+ "references": {
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+ "table": "suppliers",
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+ "field": "supplier_id"
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+ }
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+ },
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+ {
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+ "name": "units_per_pallet",
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+ "dtype": "int",
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+ "description": null,
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+ "nullable": false,
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+ "references": null
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+ }
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+ ],
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+ "primary_key": [
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+ "material_id"
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+ ],
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+ "description": "Material master data."
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+ },
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+ {
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+ "name": "suppliers",
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+ "fields": [
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+ {
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+ "name": "supplier_id",
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+ "dtype": "string",
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+ "description": null,
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+ "nullable": false,
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+ "references": null
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+ },
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+ {
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+ "name": "supplier_name",
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+ "dtype": "string",
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+ "description": null,
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+ "nullable": false,
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+ "references": null
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+ },
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+ {
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+ "name": "supplier_location",
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+ "dtype": "string",
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+ "description": null,
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+ "nullable": false,
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+ "references": null
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+ },
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+ {
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+ "name": "supplier_rating",
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+ "dtype": "int",
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+ "description": null,
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+ "nullable": false,
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+ "references": null
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+ }
563
+ ],
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+ "primary_key": [
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+ "supplier_id"
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+ ],
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+ "description": "Suppliers with ratings and locations."
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+ },
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+ {
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+ "name": "products",
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+ "fields": [
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+ {
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+ "name": "product_id",
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+ "dtype": "string",
575
+ "description": null,
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+ "nullable": false,
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+ "references": null
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+ },
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+ {
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+ "name": "product_name",
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+ "dtype": "string",
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+ "description": null,
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+ "nullable": false,
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+ "references": null
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+ },
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+ {
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+ "name": "product_category",
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+ "dtype": "string",
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+ "description": null,
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+ "nullable": false,
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+ "references": null
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+ },
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+ {
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+ "name": "product_type",
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+ "dtype": "string",
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+ "description": null,
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+ "nullable": false,
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+ "references": null
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+ },
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+ {
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+ "name": "standard_cost_per_unit",
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+ "dtype": "float",
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+ "description": null,
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+ "nullable": false,
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+ "references": null
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+ },
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+ {
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+ "name": "target_margin",
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+ "dtype": "float",
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+ "description": null,
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+ "nullable": false,
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+ "references": null
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+ }
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+ ],
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+ "primary_key": [
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+ "product_id"
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+ ],
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+ "description": "Product master data."
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+ },
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+ {
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+ "name": "customers",
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+ "fields": [
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+ {
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+ "name": "customer_id",
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+ "dtype": "string",
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+ "description": null,
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+ "nullable": false,
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+ "references": null
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+ },
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+ {
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+ "name": "customer_name",
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+ "description": null,
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+ "nullable": false,
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+ "references": null
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+ },
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+ {
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+ "name": "customer_segment",
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+ "description": null,
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+ "nullable": false,
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+ "references": null
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+ },
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+ {
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+ "name": "region",
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+ "description": null,
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+ "nullable": false,
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+ "references": null
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+ }
651
+ ],
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+ "primary_key": [
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+ "customer_id"
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+ ],
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+ "description": "Customers with segment and region."
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+ },
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+ {
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+ "name": "inventory",
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+ "fields": [
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+ {
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+ "name": "period",
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+ "dtype": "string",
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+ "description": null,
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+ "nullable": false,
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+ {
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+ "name": "material_id",
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+ "description": null,
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+ "references": {
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+ "table": "materials",
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+ "field": "material_id"
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+ }
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+ {
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+ "name": "on_hand_qty",
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+ "references": null
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+ {
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+ "name": "dwell_time_days",
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+ }
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+ ],
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+ "primary_key": [
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+ "period",
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+ "material_id"
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+ ],
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+ "description": "Inventory dwell and quantity for materials."
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+ },
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+ {
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+ "name": "production_runs",
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+ "fields": [
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+ {
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+ "name": "period",
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+ "description": null,
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+ "name": "downtime_rate",
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+ "description": null,
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+ },
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+ {
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+ }
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+ ],
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+ "primary_key": [
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+ "period",
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+ "product_id"
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+ ],
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+ "description": "Production output, downtime, and scrap."
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+ },
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+ {
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+ "name": "sales_orders",
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+ "fields": [
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+ {
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+ "name": "period",
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+ {
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+ "name": "revenue",
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+ "description": null,
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+ "nullable": false,
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+ {
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+ "name": "gross_margin",
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823
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+ ],
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+ "primary_key": [
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828
+ "product_id",
829
+ "order_id"
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+ ],
831
+ "description": "Aggregated sales orders per product per period."
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+ },
833
+ {
834
+ "name": "shipments",
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+ "fields": [
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+ {
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+ "name": "period",
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+ "field": "order_id"
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880
+ }
881
+ ],
882
+ "primary_key": [
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+ "period",
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+ "shipment_id"
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+ ],
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+ "description": "Shipment performance linked to orders."
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+ }
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+ ],
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+ "time_resolution": "monthly"
890
+ },
891
+ "signals": [
892
+ {
893
+ "name": "premium_sand_dwell_time",
894
+ "description": "Average dwell time for Premium Sand in inventory.",
895
+ "table": "inventory",
896
+ "expression": "mean(dwell_time_days)"
897
+ },
898
+ {
899
+ "name": "premium_beverage_backorder_rate",
900
+ "description": "Backorder rate for Premium Beverage in sales.",
901
+ "table": "sales",
902
+ "expression": "mean(backorder_rate)"
903
+ },
904
+ {
905
+ "name": "glass_bottle_downtime",
906
+ "description": "Downtime rate for glass bottle production.",
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+ "table": "production_runs",
908
+ "expression": "mean(downtime_rate)"
909
+ },
910
+ {
911
+ "name": "shipment_on_time_rate",
912
+ "description": "Average on-time performance for shipments.",
913
+ "table": "shipments",
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+ "expression": "mean(on_time_rate)"
915
+ }
916
+ ],
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+ "dataset_ref": {
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+ "storage_type": "parquet",
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+ "location": "interval/synthetic-data/industries/supply-chain/default",
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+ "n_rows": 52,
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+ "n_tables": 8
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+ "meta": {
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+ "id": "QA-REPORT",
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+ "version": "v0.1",
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+ "created_at": "2025-12-01T23:16:23.607544",
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+ "created_by": "system",
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+ "description": "QA placeholder",
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+ "tags": {
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+ "industry": "supply-chain"
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+ }
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+ "industry_id": "supply-chain",
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+ "story_id": "STR-SC-DEFAULT",
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+ "schema_id": "SCH-SC-001",
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+ "checks": [
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+ "status": "warning",
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+ "details": "QA skipped"
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+ "axiom_interpretations": "interval/synthetic-data/industries/supply-chain/default/configs/axiom_interpretations.yaml",
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+ "industry_profile": "interval/synthetic-data/industries/supply-chain/default/configs/supply_chain_profile.yaml",
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+ "domain_model": "interval/synthetic-data/industries/supply-chain/default/configs/domain_model.yaml",
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+ "schema": "interval/synthetic-data/industries/supply-chain/default/configs/supply_chain_schema_v1.yaml",
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+ "story": "interval/synthetic-data/industries/supply-chain/default/configs/bottleneck_hidden_premium_sand.yaml",
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+ "questions": "interval/synthetic-data/industries/supply-chain/default/configs/supply_chain_questions.yaml",
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+ "signals": "interval/synthetic-data/industries/supply-chain/default/configs/supply_chain_signals.yaml",
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+ "qa_expectations": "interval/synthetic-data/industries/supply-chain/default/configs/supply_chain_expectations.yaml"
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+ },
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+ "generator_version": "v0.1",
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+ "random_seed": 42
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+ }
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+ }
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