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Publish full Semanta dataset suite on default branch

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  1. .gitattributes +3 -60
  2. data/industry_vertical_suite/ai/semanta_ai_world_native_synthetic_100000x100.csv.gz +3 -0
  3. data/industry_vertical_suite/banks/semanta_banks_world_native_synthetic_100000x100.csv.gz +3 -0
  4. data/industry_vertical_suite/fmcg/semanta_fmcg_world_native_synthetic_100000x100.csv.gz +3 -0
  5. data/industry_vertical_suite/hedge_funds/semanta_hedge_funds_world_native_synthetic_100000x100.csv.gz +3 -0
  6. data/industry_vertical_suite/insurance/semanta_insurance_world_native_synthetic_100000x100.csv.gz +3 -0
  7. data/industry_vertical_suite/manufacturing/semanta_manufacturing_world_native_synthetic_100000x100.csv.gz +3 -0
  8. data/industry_vertical_suite/medicine/semanta_medicine_world_native_synthetic_100000x100.csv.gz +3 -0
  9. data/industry_vertical_suite/pharma/semanta_pharma_world_native_synthetic_100000x100.csv.gz +3 -0
  10. data/industry_vertical_suite/retail/semanta_retail_world_native_synthetic_100000x100.csv.gz +3 -0
  11. data/industry_vertical_suite/science/semanta_science_world_native_synthetic_100000x100.csv.gz +3 -0
  12. data/industry_vertical_suite/security/semanta_security_world_native_synthetic_100000x100.csv.gz +3 -0
  13. data/long_history_10cols/daily_history.csv.gz +3 -0
  14. data/long_history_10cols/schema.json +16 -0
  15. data/multi_industry_breadth/cybersecurity.csv.gz +3 -0
  16. data/multi_industry_breadth/defense.csv.gz +3 -0
  17. data/multi_industry_breadth/energy.csv.gz +3 -0
  18. data/multi_industry_breadth/finance.csv.gz +3 -0
  19. data/multi_industry_breadth/logistics.csv.gz +3 -0
  20. data/multi_industry_breadth/manufacturing.csv.gz +3 -0
  21. data/multi_industry_breadth/medicine.csv.gz +3 -0
  22. data/multi_industry_breadth/public_sector.csv.gz +3 -0
  23. data/multi_industry_breadth/retail.csv.gz +3 -0
  24. data/multi_industry_breadth/schema.json +556 -0
  25. data/multi_industry_breadth/telecom.csv.gz +3 -0
  26. data/wide_100cols_1000000rows/part-00000.csv.gz +3 -0
  27. data/wide_100cols_1000000rows/part-00001.csv.gz +3 -0
  28. data/wide_100cols_1000000rows/part-00002.csv.gz +3 -0
  29. data/wide_100cols_1000000rows/part-00003.csv.gz +3 -0
  30. data/wide_100cols_1000000rows/schema.json +23 -0
  31. metrics/industry_vertical_suite/ai_quality_metrics.json +302 -0
  32. metrics/industry_vertical_suite/banks_quality_metrics.json +302 -0
  33. metrics/industry_vertical_suite/fmcg_quality_metrics.json +302 -0
  34. metrics/industry_vertical_suite/hedge_funds_quality_metrics.json +302 -0
  35. metrics/industry_vertical_suite/insurance_quality_metrics.json +302 -0
  36. metrics/industry_vertical_suite/manufacturing_quality_metrics.json +302 -0
  37. metrics/industry_vertical_suite/medicine_quality_metrics.json +302 -0
  38. metrics/industry_vertical_suite/pharma_quality_metrics.json +302 -0
  39. metrics/industry_vertical_suite/retail_quality_metrics.json +302 -0
  40. metrics/industry_vertical_suite/science_quality_metrics.json +302 -0
  41. metrics/industry_vertical_suite/security_quality_metrics.json +302 -0
  42. metrics/industry_vertical_suite/suite_scorecard.json +52 -0
  43. metrics/long_history_10cols_metrics.json +47 -0
  44. metrics/multi_industry_breadth_metrics.json +10 -0
  45. metrics/quality_showcase.json +133 -0
  46. metrics/suite_scorecard.json +13 -0
  47. metrics/wide_100cols_1000000rows_metrics.json +75 -0
  48. schemas/industry_vertical_suite/ai_schema.json +630 -0
  49. schemas/industry_vertical_suite/banks_schema.json +630 -0
  50. schemas/industry_vertical_suite/fmcg_schema.json +630 -0
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+ },
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+ "primary_use_case": "attack intensity, alert noise, response-latency and asset-criticality simulation",
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+ "success_story": "A security team can harden detection pipelines against adversarial behavior and alert floods before analysts are overloaded in production."
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+ }
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+ }
metrics/industry_vertical_suite/suite_scorecard.json ADDED
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+ {
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+ {
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+ "evidence": "Each vertical has 100 columns."
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+ "evidence": "No model-performance claims without benchmarks."
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+ }
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+ ]
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+ }
metrics/long_history_10cols_metrics.json ADDED
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+ "proof_role": "depth_and_history"
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metrics/multi_industry_breadth_metrics.json ADDED
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+ {
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+ },
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+ {
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+ "status": "pass",
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+ "evidence": "No DeepSeek/Gamma/external provider used for this suite."
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+ "evidence": "Each dataset includes schema.json and metrics JSON."
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+ {
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+ "status": "pass",
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+ "evidence": "Seed, formula, partitioning and manifest are recorded."
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+ {
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+ "gate": "claim_boundary",
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+ "status": "pass",
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+ "evidence": "Dataset generation proof only; model-quality claims require benchmark evidence."
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+ ],
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+ "buyer_view": {
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+ "Semanta can create very wide synthetic feature tables.",
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+ "Semanta can create long historical time-series substrates.",
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+ "Semanta can generate cross-industry decision/risk scenarios.",
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+ "Semanta packages outputs with metrics, schema, lineage-style manifest and HF compatibility."
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+ ],
131
+ "next_commercial_step": "Attach StarForge/Gamma model-training benchmarks and publish benchmark reports against baseline models."
132
+ }
133
+ }
metrics/suite_scorecard.json ADDED
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+ {
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+ "hf_ready": true
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metrics/wide_100cols_1000000rows_metrics.json ADDED
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+ {
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+ "ai_world_signal_02",
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+ "ai_world_signal_03",
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+ "ai_world_signal_04",
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+ "ai_world_signal_05",
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+ "ai_world_signal_06",
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+ "ai_world_signal_07",
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+ "ai_world_signal_08",
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+ "ai_world_signal_09",
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+ "ai_world_signal_10",
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+ "ai_world_signal_11",
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+ "ai_world_signal_12",
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+ "ai_world_signal_13",
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+ "ai_world_signal_14",
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+ "ai_world_signal_15",
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+ "ai_world_signal_16",
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+ "ai_world_signal_17",
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+ "ai_world_signal_18",
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+ "ai_world_signal_19",
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+ "ai_world_signal_20",
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+ "ai_world_signal_21",
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+ "ai_world_signal_22",
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+ "ai_world_signal_23",
611
+ "ai_world_signal_24",
612
+ "ai_world_signal_25",
613
+ "ai_world_signal_26",
614
+ "ai_world_signal_27",
615
+ "ai_world_signal_28",
616
+ "ai_world_signal_29",
617
+ "ai_world_signal_30",
618
+ "ai_world_signal_31",
619
+ "ai_world_signal_32",
620
+ "ai_world_signal_33",
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+ "ai_world_signal_34",
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+ "ai_world_signal_35"
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+ ]
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+ },
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+ "hf_interop": {
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+ "format": "csv.gz",
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+ "dataset_viewer": "compatible",
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+ "split_strategy": "single file per industry; recommended downstream time-ordered split"
629
+ }
630
+ }
schemas/industry_vertical_suite/banks_schema.json ADDED
@@ -0,0 +1,630 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "artifact": "semanta_industry_dataset_schema",
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+ "created_at_utc": "2026-06-18T20:46:21Z",
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+ "canon": "v3.7 Final",
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+ "industry": "banks",
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+ "title": "Banks",
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+ "name": "shock_level",
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+ "name": "payment_delay_pressure",
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+ "name": "transaction_velocity",
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+ "dtype": "float32",
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+ "name": "fraud_ring_density",
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+ "name": "sanctions_screening_pressure",
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+ "escalation_probability",
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+ "digital_channel_shift",
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+ "sanctions_screening_pressure",
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+ "banks_world_signal_01",
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+ "banks_world_signal_21",
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+ "banks_world_signal_22",
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+ "banks_world_signal_23",
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+ "banks_world_signal_24",
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+ "banks_world_signal_25",
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+ "banks_world_signal_26",
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+ "banks_world_signal_27",
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+ "banks_world_signal_28",
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+ "banks_world_signal_29",
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+ "banks_world_signal_30",
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+ "banks_world_signal_31",
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+ "banks_world_signal_32",
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+ "banks_world_signal_33",
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+ "banks_world_signal_34",
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+ "banks_world_signal_35"
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+ ]
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+ },
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+ "hf_interop": {
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+ "format": "csv.gz",
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+ "dataset_viewer": "compatible",
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+ "split_strategy": "single file per industry; recommended downstream time-ordered split"
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+ }
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+ }
schemas/industry_vertical_suite/fmcg_schema.json ADDED
@@ -0,0 +1,630 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "created_at_utc": "2026-06-18T20:52:09Z",
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+ "canon": "v3.7 Final",
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+ "industry": "fmcg",
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+ "fmcg_world_signal_32",
620
+ "fmcg_world_signal_33",
621
+ "fmcg_world_signal_34",
622
+ "fmcg_world_signal_35"
623
+ ]
624
+ },
625
+ "hf_interop": {
626
+ "format": "csv.gz",
627
+ "dataset_viewer": "compatible",
628
+ "split_strategy": "single file per industry; recommended downstream time-ordered split"
629
+ }
630
+ }