Add syntheticFail m11

syntheticFail/m11/tabbyflow/tabbyflow-m11-20260510_202737/_tabbyflow_train.py

@@ -0,0 +1,24 @@
+
+import os, shutil, subprocess, sys
+root = r"/workspace/ef-vfm"
+name = r"pipeline_m11"
+src = r"/work/output-Benchmark-trainonly-v1/m11/tabbyflow/tabbyflow-m11-20260510_202737/tabular_bundle/pipeline_m11"
+os.makedirs(os.path.join(root, "data", name), exist_ok=True)
+dst_data = os.path.join(root, "data", name)
+dst_syn = os.path.join(root, "synthetic", name)
+shutil.rmtree(dst_data, ignore_errors=True)
+shutil.copytree(src, dst_data)
+os.makedirs(dst_syn, exist_ok=True)
+for fn in ("real.csv", "test.csv", "val.csv"):
+    shutil.copy(os.path.join(src, fn), os.path.join(dst_syn, fn))
+os.chdir(root)
+os.environ["PYTHONPATH"] = root + os.pathsep + os.environ.get("PYTHONPATH", "")
+os.environ["EFVFM_SMOKE_STEPS"] = "100"
+os.environ["EFVFM_ADAPTER_TRAIN"] = "1"
+os.environ.setdefault("EFVFM_SAMPLE_BATCH_SIZE", "128")
+os.environ.setdefault("EFVFM_EVAL_NUM_SAMPLES", "512")
+subprocess.check_call([
+    sys.executable, "main.py",
+    "--dataname", name, "--mode", "train", "--gpu", "0",
+    "--no_wandb", "--exp_name", r"adapter_efvfm",
+])

syntheticFail/m11/tabbyflow/tabbyflow-m11-20260510_202737/input_snapshot.json

@@ -0,0 +1,36 @@
+{
+  "dataset_id": "m11",
+  "model": "tabbyflow",
+  "inputs": {
+    "train_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m11/m11-train.csv",
+      "exists": true,
+      "size": 17450561,
+      "sha256": "01325179667586bada6e9b69ae7d1fe3f59df8ff4ddc3f41822af5e99f6b6e32"
+    },
+    "val_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m11/m11-val.csv",
+      "exists": true,
+      "size": 2181590,
+      "sha256": "1066848f54a0895112eb7fa66933159bc43ebd8ec01b60d70aa6b1a9b87d1db1"
+    },
+    "test_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m11/m11-test.csv",
+      "exists": true,
+      "size": 2181600,
+      "sha256": "bf23f0509554f8ee3a54a40d5fb242b0191a63d0d36c2a0f4c066ee89939b168"
+    },
+    "profile_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/m11/m11-dataset_profile.json",
+      "exists": true,
+      "size": 5042,
+      "sha256": "16ed6d26c47d5128e66a3420dfa9ed6baf8bf95b281df3cf6ab41f304f623433"
+    },
+    "contract_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/m11/m11-dataset_contract_v1.json",
+      "exists": true,
+      "size": 5995,
+      "sha256": "fd026c5f7619286326c84b02dceae6378a6ef481b60818d54b9b7ac1a77c79f8"
+    }
+  }
+}

syntheticFail/m11/tabbyflow/tabbyflow-m11-20260510_202737/public_gate/normalized_schema_snapshot.json

@@ -0,0 +1,242 @@
+{
+  "dataset_id": "m11",
+  "target_column": "Previously_Insured",
+  "task_type": "classification",
+  "columns": [
+    {
+      "name": "id",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 20000,
+        "unique_ratio": 0.065598,
+        "example_values": [
+          "117073",
+          "228488",
+          "340589",
+          "168907",
+          "342998"
+        ]
+      }
+    },
+    {
+      "name": "Gender",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2,
+        "unique_ratio": 7e-06,
+        "example_values": [
+          "Male",
+          "Female"
+        ]
+      }
+    },
+    {
+      "name": "Age",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 66,
+        "unique_ratio": 0.000216,
+        "example_values": [
+          "52",
+          "49",
+          "25",
+          "43",
+          "35"
+        ]
+      }
+    },
+    {
+      "name": "Driving_License",
+      "role": "feature",
+      "semantic_type": "boolean",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2,
+        "unique_ratio": 7e-06,
+        "example_values": [
+          "1",
+          "0"
+        ]
+      }
+    },
+    {
+      "name": "Region_Code",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 53,
+        "unique_ratio": 0.000174,
+        "example_values": [
+          "0.0",
+          "28.0",
+          "15.0",
+          "8.0",
+          "24.0"
+        ]
+      }
+    },
+    {
+      "name": "Previously_Insured",
+      "role": "target",
+      "semantic_type": "boolean",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2,
+        "unique_ratio": 7e-06,
+        "example_values": [
+          "0",
+          "1"
+        ]
+      }
+    },
+    {
+      "name": "Vehicle_Age",
+      "role": "feature",
+      "semantic_type": "text",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "keep_raw",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 3,
+        "unique_ratio": 1e-05,
+        "example_values": [
+          "1-2 Year",
+          "< 1 Year",
+          "> 2 Years"
+        ]
+      }
+    },
+    {
+      "name": "Vehicle_Damage",
+      "role": "feature",
+      "semantic_type": "boolean",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2,
+        "unique_ratio": 7e-06,
+        "example_values": [
+          "Yes",
+          "No"
+        ]
+      }
+    },
+    {
+      "name": "Annual_Premium",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 20000,
+        "unique_ratio": 0.065598,
+        "example_values": [
+          "2630.0",
+          "72227.0",
+          "26215.0",
+          "51539.0",
+          "30355.0"
+        ]
+      }
+    },
+    {
+      "name": "Policy_Sales_Channel",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 152,
+        "unique_ratio": 0.000499,
+        "example_values": [
+          "26.0",
+          "120.0",
+          "152.0",
+          "7.0",
+          "160.0"
+        ]
+      }
+    },
+    {
+      "name": "Vintage",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 290,
+        "unique_ratio": 0.000951,
+        "example_values": [
+          "27",
+          "71",
+          "42",
+          "52",
+          "138"
+        ]
+      }
+    },
+    {
+      "name": "Response",
+      "role": "feature",
+      "semantic_type": "boolean",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2,
+        "unique_ratio": 7e-06,
+        "example_values": [
+          "0",
+          "1"
+        ]
+      }
+    }
+  ]
+}

syntheticFail/m11/tabbyflow/tabbyflow-m11-20260510_202737/public_gate/public_gate_report.json

@@ -0,0 +1,37 @@
+{
+  "dataset_id": "m11",
+  "status": "pass",
+  "checks": [
+    {
+      "check_id": "PG001_csv_parse_ok",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG002_split_header_consistent",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG003_profile_header_match",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG004_missing_token_normalized",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG005_semantic_type_validated",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG006_target_defined_and_valid",
+      "status": "pass"
+    }
+  ],
+  "target_column": "Previously_Insured",
+  "task_type": "classification",
+  "input_splits": {
+    "train": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m11/m11-train.csv",
+    "val": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m11/m11-val.csv",
+    "test": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m11/m11-test.csv"
+  }
+}

syntheticFail/m11/tabbyflow/tabbyflow-m11-20260510_202737/public_gate/staged_input_manifest.json

@@ -0,0 +1,247 @@
+{
+  "dataset_id": "m11",
+  "target_column": "Previously_Insured",
+  "task_type": "classification",
+  "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m11/tabbyflow/tabbyflow-m11-20260510_202737/staged/public/train.csv",
+  "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m11/tabbyflow/tabbyflow-m11-20260510_202737/staged/public/val.csv",
+  "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m11/tabbyflow/tabbyflow-m11-20260510_202737/staged/public/test.csv",
+  "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m11/tabbyflow/tabbyflow-m11-20260510_202737/staged/public/staged_features.json",
+  "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m11/tabbyflow/tabbyflow-m11-20260510_202737/public_gate/public_gate_report.json",
+  "column_schema": [
+    {
+      "name": "id",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 20000,
+        "unique_ratio": 0.065598,
+        "example_values": [
+          "117073",
+          "228488",
+          "340589",
+          "168907",
+          "342998"
+        ]
+      }
+    },
+    {
+      "name": "Gender",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2,
+        "unique_ratio": 7e-06,
+        "example_values": [
+          "Male",
+          "Female"
+        ]
+      }
+    },
+    {
+      "name": "Age",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 66,
+        "unique_ratio": 0.000216,
+        "example_values": [
+          "52",
+          "49",
+          "25",
+          "43",
+          "35"
+        ]
+      }
+    },
+    {
+      "name": "Driving_License",
+      "role": "feature",
+      "semantic_type": "boolean",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2,
+        "unique_ratio": 7e-06,
+        "example_values": [
+          "1",
+          "0"
+        ]
+      }
+    },
+    {
+      "name": "Region_Code",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 53,
+        "unique_ratio": 0.000174,
+        "example_values": [
+          "0.0",
+          "28.0",
+          "15.0",
+          "8.0",
+          "24.0"
+        ]
+      }
+    },
+    {
+      "name": "Previously_Insured",
+      "role": "target",
+      "semantic_type": "boolean",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2,
+        "unique_ratio": 7e-06,
+        "example_values": [
+          "0",
+          "1"
+        ]
+      }
+    },
+    {
+      "name": "Vehicle_Age",
+      "role": "feature",
+      "semantic_type": "text",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "keep_raw",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 3,
+        "unique_ratio": 1e-05,
+        "example_values": [
+          "1-2 Year",
+          "< 1 Year",
+          "> 2 Years"
+        ]
+      }
+    },
+    {
+      "name": "Vehicle_Damage",
+      "role": "feature",
+      "semantic_type": "boolean",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2,
+        "unique_ratio": 7e-06,
+        "example_values": [
+          "Yes",
+          "No"
+        ]
+      }
+    },
+    {
+      "name": "Annual_Premium",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 20000,
+        "unique_ratio": 0.065598,
+        "example_values": [
+          "2630.0",
+          "72227.0",
+          "26215.0",
+          "51539.0",
+          "30355.0"
+        ]
+      }
+    },
+    {
+      "name": "Policy_Sales_Channel",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 152,
+        "unique_ratio": 0.000499,
+        "example_values": [
+          "26.0",
+          "120.0",
+          "152.0",
+          "7.0",
+          "160.0"
+        ]
+      }
+    },
+    {
+      "name": "Vintage",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 290,
+        "unique_ratio": 0.000951,
+        "example_values": [
+          "27",
+          "71",
+          "42",
+          "52",
+          "138"
+        ]
+      }
+    },
+    {
+      "name": "Response",
+      "role": "feature",
+      "semantic_type": "boolean",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2,
+        "unique_ratio": 7e-06,
+        "example_values": [
+          "0",
+          "1"
+        ]
+      }
+    }
+  ]
+}

syntheticFail/m11/tabbyflow/tabbyflow-m11-20260510_202737/run_config.json

@@ -0,0 +1,42 @@
+{
+  "schema_version": 1,
+  "recorded_at": "2026-05-10T20:27:39",
+  "dataset_id": "m11",
+  "model": "tabbyflow",
+  "work_dir": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m11/tabbyflow/tabbyflow-m11-20260510_202737",
+  "dataset_source_requested": "new",
+  "dataset_source_resolved": "new",
+  "cli_args": {
+    "model": "tabbyflow",
+    "dataset": "m11",
+    "dataset_source": "new",
+    "train": true,
+    "generate": true,
+    "num_rows": 0,
+    "epochs": 100,
+    "output_dir": null,
+    "model_dir": null,
+    "work_dir": null,
+    "resume": false,
+    "no_stats": false
+  },
+  "resolved": {
+    "num_rows": 304887,
+    "model_path": null,
+    "output_csv": null
+  },
+  "input_artifacts": {
+    "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m11/tabbyflow/tabbyflow-m11-20260510_202737/public_gate/public_gate_report.json",
+    "public_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m11/tabbyflow/tabbyflow-m11-20260510_202737/public_gate/staged_input_manifest.json",
+    "model_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m11/tabbyflow/tabbyflow-m11-20260510_202737/staged/tabbyflow/model_input_manifest.json",
+    "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m11/tabbyflow/tabbyflow-m11-20260510_202737/staged/public/train.csv",
+    "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m11/tabbyflow/tabbyflow-m11-20260510_202737/staged/public/staged_features.json",
+    "target_column": "Previously_Insured",
+    "task_type": "classification"
+  },
+  "env_overrides": {
+    "BENCHMARK_TABBYFLOW_GPUS": "device=3",
+    "EFVFM_EVAL_NUM_SAMPLES": "512",
+    "EFVFM_SAMPLE_BATCH_SIZE": "64"
+  }
+}

syntheticFail/m11/tabbyflow/tabbyflow-m11-20260510_202737/runtime_result.json

@@ -0,0 +1,24 @@
+{
+  "dataset_id": "m11",
+  "model": "tabbyflow",
+  "run_id": "tabbyflow-m11-20260510_202737",
+  "public_gate_status": "pass",
+  "adapter_ready_status": "pass",
+  "train_status": "fail",
+  "generate_status": "skipped",
+  "reason_code": "adapter_runtime_error",
+  "reason_detail": "Command '['docker', 'run', '--rm', '--init', '--user', '1005:1005', '-e', 'HOME=/work/.home', '--cidfile', '/tmp/bench_docker_tabbyflow_niuzipt4/container.cid', '--gpus', 'device=3', '-e', 'WANDB_MODE=disabled', '-v', '/data/jialinzhang/SynthesizePipeline-server:/work', '-w', '/work', '-v', '/data/jialinzhang/synthetic_benchmark/third_party/ef-vfm:/workspace/ef-vfm', 'benchmark:tabdiff-tabbyflow-zjl', 'python', '/work/output-Benchmark-trainonly-v1/m11/tabbyflow/tabbyflow-m11-20260510_202737/_tabbyflow_train.py']' returned non-zero exit status 1.",
+  "artifacts": {},
+  "timings": {
+    "train": {
+      "started_at": "2026-05-10T20:27:39",
+      "ended_at": "2026-05-10T20:27:43",
+      "duration_sec": 3.429
+    },
+    "generate": {
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+      "duration_sec": null
+    }
+  }
+}

syntheticFail/m11/tabbyflow/tabbyflow-m11-20260510_202737/staged/public/staged_features.json

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+[
+  {
+    "feature_name": "id",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "Gender",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "Age",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "Driving_License",
+    "data_type": "binary",
+    "is_target": false
+  },
+  {
+    "feature_name": "Region_Code",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "Previously_Insured",
+    "data_type": "binary",
+    "is_target": true
+  },
+  {
+    "feature_name": "Vehicle_Age",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "Vehicle_Damage",
+    "data_type": "binary",
+    "is_target": false
+  },
+  {
+    "feature_name": "Annual_Premium",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "Policy_Sales_Channel",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "Vintage",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "Response",
+    "data_type": "binary",
+    "is_target": false
+  }
+]

syntheticFail/m11/tabbyflow/tabbyflow-m11-20260510_202737/staged/public/test.csv

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+size 17145673

syntheticFail/m11/tabbyflow/tabbyflow-m11-20260510_202737/staged/public/val.csv

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+size 2143479

syntheticFail/m11/tabbyflow/tabbyflow-m11-20260510_202737/staged/tabbyflow/adapter_report.json

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+{
+  "adapter_ready_status": "pass",
+  "adapter_fail_reason_code": null,
+  "adapter_fail_detail": null,
+  "adapter_transforms_applied": [],
+  "model_input_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m11/tabbyflow/tabbyflow-m11-20260510_202737/staged/tabbyflow/model_input_manifest.json"
+}

syntheticFail/m11/tabbyflow/tabbyflow-m11-20260510_202737/staged/tabbyflow/adapter_transforms_applied.json

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+[]

syntheticFail/m11/tabbyflow/tabbyflow-m11-20260510_202737/staged/tabbyflow/model_input_manifest.json

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+{
+  "dataset_id": "m11",
+  "model": "tabbyflow",
+  "target_column": "Previously_Insured",
+  "task_type": "classification",
+  "column_schema": [
+    {
+      "name": "id",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 20000,
+        "unique_ratio": 0.065598,
+        "example_values": [
+          "117073",
+          "228488",
+          "340589",
+          "168907",
+          "342998"
+        ]
+      }
+    },
+    {
+      "name": "Gender",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2,
+        "unique_ratio": 7e-06,
+        "example_values": [
+          "Male",
+          "Female"
+        ]
+      }
+    },
+    {
+      "name": "Age",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 66,
+        "unique_ratio": 0.000216,
+        "example_values": [
+          "52",
+          "49",
+          "25",
+          "43",
+          "35"
+        ]
+      }
+    },
+    {
+      "name": "Driving_License",
+      "role": "feature",
+      "semantic_type": "boolean",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2,
+        "unique_ratio": 7e-06,
+        "example_values": [
+          "1",
+          "0"
+        ]
+      }
+    },
+    {
+      "name": "Region_Code",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 53,
+        "unique_ratio": 0.000174,
+        "example_values": [
+          "0.0",
+          "28.0",
+          "15.0",
+          "8.0",
+          "24.0"
+        ]
+      }
+    },
+    {
+      "name": "Previously_Insured",
+      "role": "target",
+      "semantic_type": "boolean",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2,
+        "unique_ratio": 7e-06,
+        "example_values": [
+          "0",
+          "1"
+        ]
+      }
+    },
+    {
+      "name": "Vehicle_Age",
+      "role": "feature",
+      "semantic_type": "text",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "keep_raw",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 3,
+        "unique_ratio": 1e-05,
+        "example_values": [
+          "1-2 Year",
+          "< 1 Year",
+          "> 2 Years"
+        ]
+      }
+    },
+    {
+      "name": "Vehicle_Damage",
+      "role": "feature",
+      "semantic_type": "boolean",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2,
+        "unique_ratio": 7e-06,
+        "example_values": [
+          "Yes",
+          "No"
+        ]
+      }
+    },
+    {
+      "name": "Annual_Premium",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 20000,
+        "unique_ratio": 0.065598,
+        "example_values": [
+          "2630.0",
+          "72227.0",
+          "26215.0",
+          "51539.0",
+          "30355.0"
+        ]
+      }
+    },
+    {
+      "name": "Policy_Sales_Channel",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 152,
+        "unique_ratio": 0.000499,
+        "example_values": [
+          "26.0",
+          "120.0",
+          "152.0",
+          "7.0",
+          "160.0"
+        ]
+      }
+    },
+    {
+      "name": "Vintage",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 290,
+        "unique_ratio": 0.000951,
+        "example_values": [
+          "27",
+          "71",
+          "42",
+          "52",
+          "138"
+        ]
+      }
+    },
+    {
+      "name": "Response",
+      "role": "feature",
+      "semantic_type": "boolean",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2,
+        "unique_ratio": 7e-06,
+        "example_values": [
+          "0",
+          "1"
+        ]
+      }
+    }
+  ],
+  "public_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m11/tabbyflow/tabbyflow-m11-20260510_202737/public_gate/staged_input_manifest.json",
+  "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m11/tabbyflow/tabbyflow-m11-20260510_202737/staged/public/train.csv",
+  "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m11/tabbyflow/tabbyflow-m11-20260510_202737/staged/public/val.csv",
+  "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m11/tabbyflow/tabbyflow-m11-20260510_202737/staged/public/test.csv",
+  "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m11/tabbyflow/tabbyflow-m11-20260510_202737/staged/public/staged_features.json",
+  "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m11/tabbyflow/tabbyflow-m11-20260510_202737/public_gate/public_gate_report.json"
+}

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syntheticFail/m11/tabbyflow/tabbyflow-m11-20260510_202737/tabular_bundle/pipeline_m11/info.json

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+{
+  "name": "pipeline_m11",
+  "task_type": "binclass",
+  "n_num_features": 6,
+  "n_cat_features": 5,
+  "train_size": 304887,
+  "val_size": 38110,
+  "test_size": 38112,
+  "num_col_idx": [
+    0,
+    2,
+    4,
+    8,
+    9,
+    10
+  ],
+  "cat_col_idx": [
+    1,
+    3,
+    6,
+    7,
+    11
+  ],
+  "target_col_idx": [
+    5
+  ],
+  "column_names": [
+    "id",
+    "Gender",
+    "Age",
+    "Driving_License",
+    "Region_Code",
+    "Previously_Insured",
+    "Vehicle_Age",
+    "Vehicle_Damage",
+    "Annual_Premium",
+    "Policy_Sales_Channel",
+    "Vintage",
+    "Response"
+  ],
+  "idx_mapping": {
+    "0": 0,
+    "2": 1,
+    "4": 2,
+    "8": 3,
+    "9": 4,
+    "10": 5,
+    "1": 6,
+    "3": 7,
+    "6": 8,
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+    "5": 11
+  },
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+    "6": 1,
+    "7": 3,
+    "8": 6,
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+    "10": 11,
+    "11": 5
+  },
+  "idx_name_mapping": {
+    "0": "id",
+    "1": "Gender",
+    "2": "Age",
+    "3": "Driving_License",
+    "4": "Region_Code",
+    "5": "Previously_Insured",
+    "6": "Vehicle_Age",
+    "7": "Vehicle_Damage",
+    "8": "Annual_Premium",
+    "9": "Policy_Sales_Channel",
+    "10": "Vintage",
+    "11": "Response"
+  },
+  "int_columns": [],
+  "int_col_idx": [],
+  "int_col_idx_wrt_num": [],
+  "metadata": {
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+        "computer_representation": "Float"
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+      "10": {
+        "sdtype": "numerical",
+        "computer_representation": "Float"
+      },
+      "1": {
+        "sdtype": "categorical"
+      },
+      "3": {
+        "sdtype": "categorical"
+      },
+      "6": {
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+      },
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+        "sdtype": "categorical"
+      },
+      "11": {
+        "sdtype": "categorical"
+      },
+      "5": {
+        "sdtype": "categorical"
+      }
+    }
+  },
+  "n_classes": 2
+}

syntheticFail/m11/tabbyflow/tabbyflow-m11-20260510_202737/tabular_bundle/pipeline_m11/real.csv

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+  {
+    "feature_name": "id",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "Gender",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "Age",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "Driving_License",
+    "data_type": "binary",
+    "is_target": false
+  },
+  {
+    "feature_name": "Region_Code",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "Previously_Insured",
+    "data_type": "binary",
+    "is_target": true
+  },
+  {
+    "feature_name": "Vehicle_Age",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "Vehicle_Damage",
+    "data_type": "binary",
+    "is_target": false
+  },
+  {
+    "feature_name": "Annual_Premium",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "Policy_Sales_Channel",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "Vintage",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "Response",
+    "data_type": "binary",
+    "is_target": false
+  }
+]

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syntheticFail/m11/tabbyflow/tabbyflow-m11-20260510_202737/train_20260510_202742.log

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syntheticFail/m11/tabpfgen/tabpfgen-m11-20260502_031420/_tabpfgen_generate.py

@@ -0,0 +1,100 @@
+import os
+import numpy as np
+import pandas as pd
+import json
+from tabpfgen import TabPFGen
+
+df = pd.read_csv("/work/output-Benchmark-trainonly-v1/m11/tabpfgen/tabpfgen-m11-20260502_031420/staged/public/train.csv")
+target_col = "Previously_Insured"
+
+target_missing = df[target_col].isna()
+if target_missing.any():
+    dropped = int(target_missing.sum())
+    df = df.loc[~target_missing].copy()
+    print(
+        f"[TabPFGen] Dropped {dropped} rows with missing target '{target_col}'"
+    )
+if df.empty:
+    raise ValueError(
+        f"[TabPFGen] No rows remain after dropping missing target '{target_col}'"
+    )
+
+feature_cols = [c for c in df.columns if c != target_col]
+
+cat_encodings = {}
+for col in feature_cols:
+    if df[col].dtype == object or str(df[col].dtype) == 'category':
+        cats = sorted(df[col].dropna().unique().tolist(), key=str)
+        cat_map = {v: i for i, v in enumerate(cats)}
+        df[col] = df[col].map(cat_map).astype(float)
+        cat_encodings[col] = cats
+        print(f"[TabPFGen] Label-encoded '{col}' ({len(cats)} categories)")
+
+target_cats = None
+if df[target_col].dtype == object or str(df[target_col].dtype) == 'category':
+    cats = sorted(df[target_col].dropna().unique().tolist(), key=str)
+    t_map = {v: i for i, v in enumerate(cats)}
+    df[target_col] = df[target_col].map(t_map).astype(float)
+    target_cats = cats
+    print(f"[TabPFGen] Label-encoded target '{target_col}' ({len(cats)} categories)")
+
+X = df[feature_cols].values.astype(np.float32)
+y = df[target_col].values
+target_n = int(304887)
+
+for i in range(X.shape[1]):
+    col_vals = X[:, i]
+    mask = np.isnan(col_vals)
+    if mask.any():
+        mean_val = np.nanmean(col_vals)
+        X[mask, i] = mean_val if not np.isnan(mean_val) else 0.0
+
+# TabPFGen v0.1.x API：仅支持 n_sgld_steps / sgld_* / device。
+# （旧版脚本中的 energy_*_chunk 与上游 TabPFGen 不一致，会导致 TypeError。）
+gen = TabPFGen(
+    n_sgld_steps=1000,
+    sgld_step_size=0.01,
+    sgld_noise_scale=0.01,
+    device="auto",
+)
+
+print(f"[TabPFGen] Generating {target_n} rows via generate_classification")
+X_syn, y_syn = gen.generate_classification(X, y, n_samples=target_n)
+
+syn_df = pd.DataFrame(X_syn, columns=feature_cols)
+syn_df[target_col] = y_syn
+
+for col, cats in cat_encodings.items():
+    codes = np.round(syn_df[col].values).astype(int)
+    codes = np.clip(codes, 0, len(cats) - 1)
+    syn_df[col] = [cats[c] for c in codes]
+
+if target_cats is not None:
+    codes = np.round(syn_df[target_col].values).astype(int)
+    codes = np.clip(codes, 0, len(target_cats) - 1)
+    syn_df[target_col] = [target_cats[c] for c in codes]
+
+if len(syn_df) > target_n:
+    print(f"[TabPFGen] Trimming rows: {len(syn_df)} -> {target_n}")
+    syn_df = syn_df.iloc[:target_n].copy()
+elif len(syn_df) < target_n:
+    deficit = target_n - len(syn_df)
+    print(f"[TabPFGen] Padding rows: {len(syn_df)} -> {target_n} (deficit={deficit})")
+    if len(syn_df) > 0:
+        extra = syn_df.sample(n=deficit, replace=True, random_state=42)
+        syn_df = pd.concat(
+            [syn_df.reset_index(drop=True), extra.reset_index(drop=True)],
+            ignore_index=True,
+        )
+    else:
+        syn_df = df[feature_cols + [target_col]].sample(
+            n=target_n, replace=True, random_state=42
+        ).reset_index(drop=True)
+
+syn_df = syn_df[list(df.columns)]
+if len(syn_df) != target_n:
+    raise RuntimeError(
+        f"[TabPFGen] Row alignment failed: got {len(syn_df)}, expected {target_n}"
+    )
+syn_df.to_csv("/work/output-Benchmark-trainonly-v1/m11/tabpfgen/tabpfgen-m11-20260502_031420/tabpfgen-m11-304887-20260502_031422.csv", index=False)
+print(f"[TabPFGen] Saved {len(syn_df)} rows -> /work/output-Benchmark-trainonly-v1/m11/tabpfgen/tabpfgen-m11-20260502_031420/tabpfgen-m11-304887-20260502_031422.csv")

syntheticFail/m11/tabpfgen/tabpfgen-m11-20260502_031420/gen_20260502_031422.log

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:42d95d48a4299d1068d3e488888cd95e69889cf268f1501f97e42524ec63f48d
+size 2338

syntheticFail/m11/tabpfgen/tabpfgen-m11-20260502_031420/input_snapshot.json

@@ -0,0 +1,36 @@
+{
+  "dataset_id": "m11",
+  "model": "tabpfgen",
+  "inputs": {
+    "train_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m11/m11-train.csv",
+      "exists": true,
+      "size": 17450561,
+      "sha256": "01325179667586bada6e9b69ae7d1fe3f59df8ff4ddc3f41822af5e99f6b6e32"
+    },
+    "val_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m11/m11-val.csv",
+      "exists": true,
+      "size": 2181590,
+      "sha256": "1066848f54a0895112eb7fa66933159bc43ebd8ec01b60d70aa6b1a9b87d1db1"
+    },
+    "test_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m11/m11-test.csv",
+      "exists": true,
+      "size": 2181600,
+      "sha256": "bf23f0509554f8ee3a54a40d5fb242b0191a63d0d36c2a0f4c066ee89939b168"
+    },
+    "profile_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/m11/m11-dataset_profile.json",
+      "exists": true,
+      "size": 5042,
+      "sha256": "16ed6d26c47d5128e66a3420dfa9ed6baf8bf95b281df3cf6ab41f304f623433"
+    },
+    "contract_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/m11/m11-dataset_contract_v1.json",
+      "exists": true,
+      "size": 5995,
+      "sha256": "fd026c5f7619286326c84b02dceae6378a6ef481b60818d54b9b7ac1a77c79f8"
+    }
+  }
+}

syntheticFail/m11/tabpfgen/tabpfgen-m11-20260502_031420/public_gate/normalized_schema_snapshot.json

@@ -0,0 +1,242 @@
+{
+  "dataset_id": "m11",
+  "target_column": "Previously_Insured",
+  "task_type": "classification",
+  "columns": [
+    {
+      "name": "id",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 20000,
+        "unique_ratio": 0.065598,
+        "example_values": [
+          "117073",
+          "228488",
+          "340589",
+          "168907",
+          "342998"
+        ]
+      }
+    },
+    {
+      "name": "Gender",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2,
+        "unique_ratio": 7e-06,
+        "example_values": [
+          "Male",
+          "Female"
+        ]
+      }
+    },
+    {
+      "name": "Age",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 66,
+        "unique_ratio": 0.000216,
+        "example_values": [
+          "52",
+          "49",
+          "25",
+          "43",
+          "35"
+        ]
+      }
+    },
+    {
+      "name": "Driving_License",
+      "role": "feature",
+      "semantic_type": "boolean",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2,
+        "unique_ratio": 7e-06,
+        "example_values": [
+          "1",
+          "0"
+        ]
+      }
+    },
+    {
+      "name": "Region_Code",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 53,
+        "unique_ratio": 0.000174,
+        "example_values": [
+          "0.0",
+          "28.0",
+          "15.0",
+          "8.0",
+          "24.0"
+        ]
+      }
+    },
+    {
+      "name": "Previously_Insured",
+      "role": "target",
+      "semantic_type": "boolean",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2,
+        "unique_ratio": 7e-06,
+        "example_values": [
+          "0",
+          "1"
+        ]
+      }
+    },
+    {
+      "name": "Vehicle_Age",
+      "role": "feature",
+      "semantic_type": "text",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "keep_raw",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 3,
+        "unique_ratio": 1e-05,
+        "example_values": [
+          "1-2 Year",
+          "< 1 Year",
+          "> 2 Years"
+        ]
+      }
+    },
+    {
+      "name": "Vehicle_Damage",
+      "role": "feature",
+      "semantic_type": "boolean",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2,
+        "unique_ratio": 7e-06,
+        "example_values": [
+          "Yes",
+          "No"
+        ]
+      }
+    },
+    {
+      "name": "Annual_Premium",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 20000,
+        "unique_ratio": 0.065598,
+        "example_values": [
+          "2630.0",
+          "72227.0",
+          "26215.0",
+          "51539.0",
+          "30355.0"
+        ]
+      }
+    },
+    {
+      "name": "Policy_Sales_Channel",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 152,
+        "unique_ratio": 0.000499,
+        "example_values": [
+          "26.0",
+          "120.0",
+          "152.0",
+          "7.0",
+          "160.0"
+        ]
+      }
+    },
+    {
+      "name": "Vintage",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 290,
+        "unique_ratio": 0.000951,
+        "example_values": [
+          "27",
+          "71",
+          "42",
+          "52",
+          "138"
+        ]
+      }
+    },
+    {
+      "name": "Response",
+      "role": "feature",
+      "semantic_type": "boolean",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2,
+        "unique_ratio": 7e-06,
+        "example_values": [
+          "0",
+          "1"
+        ]
+      }
+    }
+  ]
+}

syntheticFail/m11/tabpfgen/tabpfgen-m11-20260502_031420/public_gate/public_gate_report.json

@@ -0,0 +1,37 @@
+{
+  "dataset_id": "m11",
+  "status": "pass",
+  "checks": [
+    {
+      "check_id": "PG001_csv_parse_ok",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG002_split_header_consistent",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG003_profile_header_match",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG004_missing_token_normalized",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG005_semantic_type_validated",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG006_target_defined_and_valid",
+      "status": "pass"
+    }
+  ],
+  "target_column": "Previously_Insured",
+  "task_type": "classification",
+  "input_splits": {
+    "train": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m11/m11-train.csv",
+    "val": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m11/m11-val.csv",
+    "test": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m11/m11-test.csv"
+  }
+}

syntheticFail/m11/tabpfgen/tabpfgen-m11-20260502_031420/public_gate/staged_input_manifest.json

@@ -0,0 +1,247 @@
+{
+  "dataset_id": "m11",
+  "target_column": "Previously_Insured",
+  "task_type": "classification",
+  "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m11/tabpfgen/tabpfgen-m11-20260502_031420/staged/public/train.csv",
+  "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m11/tabpfgen/tabpfgen-m11-20260502_031420/staged/public/val.csv",
+  "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m11/tabpfgen/tabpfgen-m11-20260502_031420/staged/public/test.csv",
+  "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m11/tabpfgen/tabpfgen-m11-20260502_031420/staged/public/staged_features.json",
+  "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m11/tabpfgen/tabpfgen-m11-20260502_031420/public_gate/public_gate_report.json",
+  "column_schema": [
+    {
+      "name": "id",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 20000,
+        "unique_ratio": 0.065598,
+        "example_values": [
+          "117073",
+          "228488",
+          "340589",
+          "168907",
+          "342998"
+        ]
+      }
+    },
+    {
+      "name": "Gender",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2,
+        "unique_ratio": 7e-06,
+        "example_values": [
+          "Male",
+          "Female"
+        ]
+      }
+    },
+    {
+      "name": "Age",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 66,
+        "unique_ratio": 0.000216,
+        "example_values": [
+          "52",
+          "49",
+          "25",
+          "43",
+          "35"
+        ]
+      }
+    },
+    {
+      "name": "Driving_License",
+      "role": "feature",
+      "semantic_type": "boolean",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2,
+        "unique_ratio": 7e-06,
+        "example_values": [
+          "1",
+          "0"
+        ]
+      }
+    },
+    {
+      "name": "Region_Code",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 53,
+        "unique_ratio": 0.000174,
+        "example_values": [
+          "0.0",
+          "28.0",
+          "15.0",
+          "8.0",
+          "24.0"
+        ]
+      }
+    },
+    {
+      "name": "Previously_Insured",
+      "role": "target",
+      "semantic_type": "boolean",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2,
+        "unique_ratio": 7e-06,
+        "example_values": [
+          "0",
+          "1"
+        ]
+      }
+    },
+    {
+      "name": "Vehicle_Age",
+      "role": "feature",
+      "semantic_type": "text",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "keep_raw",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 3,
+        "unique_ratio": 1e-05,
+        "example_values": [
+          "1-2 Year",
+          "< 1 Year",
+          "> 2 Years"
+        ]
+      }
+    },
+    {
+      "name": "Vehicle_Damage",
+      "role": "feature",
+      "semantic_type": "boolean",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2,
+        "unique_ratio": 7e-06,
+        "example_values": [
+          "Yes",
+          "No"
+        ]
+      }
+    },
+    {
+      "name": "Annual_Premium",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 20000,
+        "unique_ratio": 0.065598,
+        "example_values": [
+          "2630.0",
+          "72227.0",
+          "26215.0",
+          "51539.0",
+          "30355.0"
+        ]
+      }
+    },
+    {
+      "name": "Policy_Sales_Channel",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 152,
+        "unique_ratio": 0.000499,
+        "example_values": [
+          "26.0",
+          "120.0",
+          "152.0",
+          "7.0",
+          "160.0"
+        ]
+      }
+    },
+    {
+      "name": "Vintage",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 290,
+        "unique_ratio": 0.000951,
+        "example_values": [
+          "27",
+          "71",
+          "42",
+          "52",
+          "138"
+        ]
+      }
+    },
+    {
+      "name": "Response",
+      "role": "feature",
+      "semantic_type": "boolean",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2,
+        "unique_ratio": 7e-06,
+        "example_values": [
+          "0",
+          "1"
+        ]
+      }
+    }
+  ]
+}

syntheticFail/m11/tabpfgen/tabpfgen-m11-20260502_031420/runtime_result.json

@@ -0,0 +1,24 @@
+{
+  "dataset_id": "m11",
+  "model": "tabpfgen",
+  "run_id": "tabpfgen-m11-20260502_031420",
+  "public_gate_status": "pass",
+  "adapter_ready_status": "pass",
+  "train_status": "success",
+  "generate_status": "fail",
+  "reason_code": "adapter_runtime_error",
+  "reason_detail": "Command '['docker', 'run', '--rm', '--init', '--cidfile', '/tmp/bench_docker_tabpfgen_xiv0lht_/container.cid', '--gpus', 'device=0', '-e', 'PYTHONPATH=/workspace/tabpfgen_src', '-v', '/data/jialinzhang/SynthesizePipeline-server:/work', '-w', '/work', '-v', '/data/jialinzhang/synthetic_benchmark/tabpfgen/src:/workspace/tabpfgen_src', 'benchmark:tabpfgen-zjl', 'python', '/work/output-Benchmark-trainonly-v1/m11/tabpfgen/tabpfgen-m11-20260502_031420/_tabpfgen_generate.py']' returned non-zero exit status 1.",
+  "artifacts": {},
+  "timings": {
+    "train": {
+      "started_at": "2026-05-02T03:14:21",
+      "ended_at": "2026-05-02T03:14:22",
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