Add syntheticFail c18

syntheticFail/c18/ctgan/ctgan-c18-20260422_031259/ctgan_metadata.json

@@ -0,0 +1,60 @@
+{
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+      "type": "continuous"
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+    {
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+    },
+    {
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+      "type": "categorical"
+    },
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+    },
+    {
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+      "type": "categorical"
+    },
+    {
+      "name": "taster_twitter_handle",
+      "type": "categorical"
+    },
+    {
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+      "type": "categorical"
+    },
+    {
+      "name": "variety",
+      "type": "categorical"
+    },
+    {
+      "name": "winery",
+      "type": "categorical"
+    }
+  ]
+}

syntheticFail/c18/ctgan/ctgan-c18-20260422_031259/ctgan_train_continuous_imputed.csv

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+size 42345873

syntheticFail/c18/ctgan/ctgan-c18-20260422_031259/input_snapshot.json

@@ -0,0 +1,36 @@
+{
+  "dataset_id": "c18",
+  "model": "ctgan",
+  "inputs": {
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+    }
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+}

syntheticFail/c18/ctgan/ctgan-c18-20260422_031259/models_300epochs/train_20260422_031318.log

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syntheticFail/c18/ctgan/ctgan-c18-20260422_031259/public_gate/normalized_schema_snapshot.json

@@ -0,0 +1,301 @@
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+          "The Cambres vineyard sits on the hills just to the south of the Douro river, giving a rich, perfumed style of wood-aged wine. This is structured, with a dry core and big black fruits that will soften and come together. Drink this solid, ripe wine from 2017.",
+          "Made from 50% Syrah, 40% Grenache and 10% Cinsault, this opens with ripe peach and red-berry aromas that are framed by mentholated herbal tones. The medium-weight palate offers a round mouthfeel and soft acidity, followed by a lightly pithy finish.",
+          "The intriguing nose suggests blue flower, scorched earth, smoke, spice and ripe dark fruit. The palate is subtle and reserved, revealing mature black cherry, ground black pepper and allspice alongside tightly knit, velvety tannins, with a decadent licorice note on the finish."
+        ]
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+          "Magnus",
+          "Freedom Hill Vineyard",
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+          "Lauren Buzzeo",
+          "Kerin O’Keefe"
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+          "Falkner 2012 Cabernet Sauvignon (Temecula Valley)",
+          "Casa de Cambres 2009 Reserva Red (Douro)",
+          "Château de Lancyre 2016 Le Rosé (Coteaux du Languedoc Pic Saint Loup)",
+          "Ognissole 2011 Magnus Nero di Troia (Puglia)"
+        ]
+      }
+    },
+    {
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+          "Cabernet Sauvignon",
+          "Portuguese Red",
+          "Rosé",
+          "Nero di Troia"
+        ]
+      }
+    },
+    {
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+        ]
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+    }
+  ]
+}

syntheticFail/c18/ctgan/ctgan-c18-20260422_031259/public_gate/public_gate_report.json

@@ -0,0 +1,37 @@
+{
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+  "status": "pass",
+  "checks": [
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+      "status": "pass"
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+      "status": "pass"
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+  "target_column": "country",
+  "task_type": "classification",
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+    "val": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c18/c18-val.csv",
+    "test": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c18/c18-test.csv"
+  }
+}

syntheticFail/c18/ctgan/ctgan-c18-20260422_031259/public_gate/staged_input_manifest.json

@@ -0,0 +1,306 @@
+{
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+  "target_column": "country",
+  "task_type": "classification",
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+          "Plum, blueberry and a tinge of sour dried-fruit aromas get lifted with dill, spearmint and anise on the nose of this wine. It's juicy on the palate with purple and blue fruits, but cut with a strong and nice mint character, also showing some dark chocolate nibs.",
+          "The Cambres vineyard sits on the hills just to the south of the Douro river, giving a rich, perfumed style of wood-aged wine. This is structured, with a dry core and big black fruits that will soften and come together. Drink this solid, ripe wine from 2017.",
+          "Made from 50% Syrah, 40% Grenache and 10% Cinsault, this opens with ripe peach and red-berry aromas that are framed by mentholated herbal tones. The medium-weight palate offers a round mouthfeel and soft acidity, followed by a lightly pithy finish.",
+          "The intriguing nose suggests blue flower, scorched earth, smoke, spice and ripe dark fruit. The palate is subtle and reserved, revealing mature black cherry, ground black pepper and allspice alongside tightly knit, velvety tannins, with a decadent licorice note on the finish."
+        ]
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+          "@vboone",
+          "@mattkettmann",
+          "@vossroger",
+          "@laurbuzz",
+          "@kerinokeefe"
+        ]
+      }
+    },
+    {
+      "name": "title",
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+        "unique_ratio": 0.192352,
+        "example_values": [
+          "Guenoc 2012 Sauvignon Blanc (Lake County)",
+          "Falkner 2012 Cabernet Sauvignon (Temecula Valley)",
+          "Casa de Cambres 2009 Reserva Red (Douro)",
+          "Château de Lancyre 2016 Le Rosé (Coteaux du Languedoc Pic Saint Loup)",
+          "Ognissole 2011 Magnus Nero di Troia (Puglia)"
+        ]
+      }
+    },
+    {
+      "name": "variety",
+      "role": "feature",
+      "semantic_type": "text",
+      "nullable": true,
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+      "profile_stats": {
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+        "unique_ratio": 0.006559,
+        "example_values": [
+          "Sauvignon Blanc",
+          "Cabernet Sauvignon",
+          "Portuguese Red",
+          "Rosé",
+          "Nero di Troia"
+        ]
+      }
+    },
+    {
+      "name": "winery",
+      "role": "feature",
+      "semantic_type": "text",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "keep_raw",
+      "profile_stats": {
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+        "unique_ratio": 0.151823,
+        "example_values": [
+          "Guenoc",
+          "Falkner",
+          "Casa de Cambres",
+          "Château de Lancyre",
+          "Ognissole"
+        ]
+      }
+    }
+  ]
+}

syntheticFail/c18/ctgan/ctgan-c18-20260422_031259/runtime_result.json

@@ -0,0 +1,12 @@
+{
+  "dataset_id": "c18",
+  "model": "ctgan",
+  "run_id": "ctgan-c18-20260422_031259",
+  "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', '--cidfile', '/tmp/bench_docker_ctgan_ngggt4yh/container.cid', '--gpus', 'device=3', '-e', 'OPENBLAS_NUM_THREADS=64', '-e', 'MKL_NUM_THREADS=64', '-e', 'HOME=/tmp', '-e', 'PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True', '-v', '/data/jialinzhang/SynthesizePipeline-server:/work', '-w', '/work', 'benchmark:ctgan-zjl', 'python', '-m', 'ctgan', '/work/output-SpecializedModels/c18/ctgan/ctgan-c18-20260422_031259/ctgan_train_continuous_imputed.csv', '/work/output-SpecializedModels/c18/ctgan/ctgan-c18-20260422_031259/_dummy_output.csv', '-m', '/work/output-SpecializedModels/c18/ctgan/ctgan-c18-20260422_031259/ctgan_metadata.json', '-e', '300', '--save', '/work/output-SpecializedModels/c18/ctgan/ctgan-c18-20260422_031259/models_300epochs/ctgan_300epochs.pt', '--train-only']' returned non-zero exit status 137.",
+  "artifacts": {}
+}

syntheticFail/c18/ctgan/ctgan-c18-20260422_031259/staged/ctgan/adapter_report.json

@@ -0,0 +1,7 @@
+{
+  "adapter_ready_status": "pass",
+  "adapter_fail_reason_code": null,
+  "adapter_fail_detail": null,
+  "adapter_transforms_applied": [],
+  "model_input_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c18/ctgan/ctgan-c18-20260422_031259/staged/ctgan/model_input_manifest.json"
+}

syntheticFail/c18/ctgan/ctgan-c18-20260422_031259/staged/ctgan/adapter_transforms_applied.json

@@ -0,0 +1 @@
+[]

syntheticFail/c18/ctgan/ctgan-c18-20260422_031259/staged/ctgan/model_input_manifest.json

@@ -0,0 +1,308 @@
+{
+  "dataset_id": "c18",
+  "model": "ctgan",
+  "target_column": "country",
+  "task_type": "classification",
+  "column_schema": [
+    {
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+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
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+        "unique_ratio": 0.192352,
+        "example_values": [
+          "41338",
+          "72809",
+          "22791",
+          "56702",
+          "19384"
+        ]
+      }
+    },
+    {
+      "name": "country",
+      "role": "target",
+      "semantic_type": "categorical",
+      "nullable": true,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.000414,
+        "unique_count": 43,
+        "unique_ratio": 0.000414,
+        "example_values": [
+          "US",
+          "Portugal",
+          "France",
+          "Italy",
+          "Chile"
+        ]
+      }
+    },
+    {
+      "name": "description",
+      "role": "feature",
+      "semantic_type": "text",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "keep_raw",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 20000,
+        "unique_ratio": 0.192352,
+        "example_values": [
+          "This is a classic, well made Lake County Sauvignon Blanc. It's creamy with fig, vanilla, cantaloupe and pineapple flavors, but with a crisp finish.",
+          "Plum, blueberry and a tinge of sour dried-fruit aromas get lifted with dill, spearmint and anise on the nose of this wine. It's juicy on the palate with purple and blue fruits, but cut with a strong and nice mint character, also showing some dark chocolate nibs.",
+          "The Cambres vineyard sits on the hills just to the south of the Douro river, giving a rich, perfumed style of wood-aged wine. This is structured, with a dry core and big black fruits that will soften and come together. Drink this solid, ripe wine from 2017.",
+          "Made from 50% Syrah, 40% Grenache and 10% Cinsault, this opens with ripe peach and red-berry aromas that are framed by mentholated herbal tones. The medium-weight palate offers a round mouthfeel and soft acidity, followed by a lightly pithy finish.",
+          "The intriguing nose suggests blue flower, scorched earth, smoke, spice and ripe dark fruit. The palate is subtle and reserved, revealing mature black cherry, ground black pepper and allspice alongside tightly knit, velvety tannins, with a decadent licorice note on the finish."
+        ]
+      }
+    },
+    {
+      "name": "designation",
+      "role": "feature",
+      "semantic_type": "text",
+      "nullable": true,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "keep_raw",
+      "profile_stats": {
+        "missing_rate": 0.288403,
+        "unique_count": 20000,
+        "unique_ratio": 0.27031,
+        "example_values": [
+          "Reserva",
+          "Le",
+          "Magnus",
+          "Freedom Hill Vineyard",
+          "Château de Nervers"
+        ]
+      }
+    },
+    {
+      "name": "points",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 21,
+        "unique_ratio": 0.000202,
+        "example_values": [
+          "87",
+          "89",
+          "90",
+          "91",
+          "88"
+        ]
+      }
+    },
+    {
+      "name": "price",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": true,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.068997,
+        "unique_count": 368,
+        "unique_ratio": 0.003802,
+        "example_values": [
+          "16.0",
+          "25.0",
+          "13.0",
+          "18.0",
+          "36.0"
+        ]
+      }
+    },
+    {
+      "name": "province",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": true,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.000414,
+        "unique_count": 411,
+        "unique_ratio": 0.003954,
+        "example_values": [
+          "California",
+          "Douro",
+          "Languedoc-Roussillon",
+          "Southern Italy",
+          "Oregon"
+        ]
+      }
+    },
+    {
+      "name": "region_1",
+      "role": "feature",
+      "semantic_type": "text",
+      "nullable": true,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "keep_raw",
+      "profile_stats": {
+        "missing_rate": 0.163307,
+        "unique_count": 1179,
+        "unique_ratio": 0.013552,
+        "example_values": [
+          "Lake County",
+          "Temecula Valley",
+          "Coteaux du Languedoc Pic Saint Loup",
+          "Puglia",
+          "Willamette Valley"
+        ]
+      }
+    },
+    {
+      "name": "region_2",
+      "role": "feature",
+      "semantic_type": "text",
+      "nullable": true,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "keep_raw",
+      "profile_stats": {
+        "missing_rate": 0.611622,
+        "unique_count": 17,
+        "unique_ratio": 0.000421,
+        "example_values": [
+          "South Coast",
+          "Willamette Valley",
+          "Central Coast",
+          "Napa",
+          "Sonoma"
+        ]
+      }
+    },
+    {
+      "name": "taster_name",
+      "role": "feature",
+      "semantic_type": "text",
+      "nullable": true,
+      "missing_tokens": [],
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+      "impute_strategy": "keep_raw",
+      "profile_stats": {
+        "missing_rate": 0.201941,
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+        "unique_ratio": 0.000229,
+        "example_values": [
+          "Virginie Boone",
+          "Matt Kettmann",
+          "Roger Voss",
+          "Lauren Buzzeo",
+          "Kerin O’Keefe"
+        ]
+      }
+    },
+    {
+      "name": "taster_twitter_handle",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": true,
+      "missing_tokens": [],
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+      "impute_strategy": "mode",
+      "profile_stats": {
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+        "unique_ratio": 0.00019,
+        "example_values": [
+          "@vboone",
+          "@mattkettmann",
+          "@vossroger",
+          "@laurbuzz",
+          "@kerinokeefe"
+        ]
+      }
+    },
+    {
+      "name": "title",
+      "role": "feature",
+      "semantic_type": "text",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "keep_raw",
+      "profile_stats": {
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+        "unique_ratio": 0.192352,
+        "example_values": [
+          "Guenoc 2012 Sauvignon Blanc (Lake County)",
+          "Falkner 2012 Cabernet Sauvignon (Temecula Valley)",
+          "Casa de Cambres 2009 Reserva Red (Douro)",
+          "Château de Lancyre 2016 Le Rosé (Coteaux du Languedoc Pic Saint Loup)",
+          "Ognissole 2011 Magnus Nero di Troia (Puglia)"
+        ]
+      }
+    },
+    {
+      "name": "variety",
+      "role": "feature",
+      "semantic_type": "text",
+      "nullable": true,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "keep_raw",
+      "profile_stats": {
+        "missing_rate": 1e-05,
+        "unique_count": 682,
+        "unique_ratio": 0.006559,
+        "example_values": [
+          "Sauvignon Blanc",
+          "Cabernet Sauvignon",
+          "Portuguese Red",
+          "Rosé",
+          "Nero di Troia"
+        ]
+      }
+    },
+    {
+      "name": "winery",
+      "role": "feature",
+      "semantic_type": "text",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "keep_raw",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 15786,
+        "unique_ratio": 0.151823,
+        "example_values": [
+          "Guenoc",
+          "Falkner",
+          "Casa de Cambres",
+          "Château de Lancyre",
+          "Ognissole"
+        ]
+      }
+    }
+  ],
+  "public_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c18/ctgan/ctgan-c18-20260422_031259/public_gate/staged_input_manifest.json",
+  "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c18/ctgan/ctgan-c18-20260422_031259/staged/public/train.csv",
+  "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c18/ctgan/ctgan-c18-20260422_031259/staged/public/val.csv",
+  "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c18/ctgan/ctgan-c18-20260422_031259/staged/public/test.csv",
+  "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c18/ctgan/ctgan-c18-20260422_031259/staged/public/staged_features.json",
+  "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c18/ctgan/ctgan-c18-20260422_031259/public_gate/public_gate_report.json"
+}

syntheticFail/c18/ctgan/ctgan-c18-20260422_031259/staged/public/staged_features.json

@@ -0,0 +1,72 @@
+[
+  {
+    "feature_name": "row_id",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "country",
+    "data_type": "categorical",
+    "is_target": true
+  },
+  {
+    "feature_name": "description",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "designation",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "points",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "price",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "province",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "region_1",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "region_2",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "taster_name",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "taster_twitter_handle",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "title",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "variety",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "winery",
+    "data_type": "categorical",
+    "is_target": false
+  }
+]

syntheticFail/c18/ctgan/ctgan-c18-20260422_031259/staged/public/test.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f9b247fe90d1b3de687afbee0871f768b5b9b41d8974110c1a1a4be0a1581258
+size 5283050

syntheticFail/c18/ctgan/ctgan-c18-20260422_031259/staged/public/train.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d36ba8fd95415355fed46a70cd71921339f0b4b8f05320279bef35443ce4cc16
+size 42317177

syntheticFail/c18/ctgan/ctgan-c18-20260422_031259/staged/public/val.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6368d0c3f97d7449830710d697fc67e7fb71fa7038bc480892279eb41c153f0b
+size 5289617

syntheticFail/c18/ctgan/ctgan-c18-20260501_210423/_ctgan_train.py

@@ -0,0 +1,17 @@
+import pandas as pd
+from ctgan.synthesizers.ctgan import CTGAN
+
+data = pd.read_csv("/work/output-Benchmark-trainonly-v1/c18/ctgan/ctgan-c18-20260501_210423/ctgan_train_continuous_imputed.csv")
+discrete_columns = ['country', 'description', 'designation', 'province', 'region_1', 'region_2', 'taster_name', 'taster_twitter_handle', 'title', 'variety', 'winery']
+model = CTGAN(
+    embedding_dim=8,
+    generator_dim=(16, 16),
+    discriminator_dim=(16, 16),
+    batch_size=10,
+    pac=1,
+    epochs=300,
+    verbose=True,
+)
+model.fit(data, discrete_columns)
+model.save("/work/output-Benchmark-trainonly-v1/c18/ctgan/ctgan-c18-20260501_210423/models_300epochs/ctgan_300epochs.pt")
+print("[CTGAN] Saved model ->", "/work/output-Benchmark-trainonly-v1/c18/ctgan/ctgan-c18-20260501_210423/models_300epochs/ctgan_300epochs.pt")

syntheticFail/c18/ctgan/ctgan-c18-20260501_210423/ctgan_metadata.json

@@ -0,0 +1,60 @@
+{
+  "columns": [
+    {
+      "name": "row_id",
+      "type": "continuous"
+    },
+    {
+      "name": "country",
+      "type": "categorical"
+    },
+    {
+      "name": "description",
+      "type": "categorical"
+    },
+    {
+      "name": "designation",
+      "type": "categorical"
+    },
+    {
+      "name": "points",
+      "type": "continuous"
+    },
+    {
+      "name": "price",
+      "type": "continuous"
+    },
+    {
+      "name": "province",
+      "type": "categorical"
+    },
+    {
+      "name": "region_1",
+      "type": "categorical"
+    },
+    {
+      "name": "region_2",
+      "type": "categorical"
+    },
+    {
+      "name": "taster_name",
+      "type": "categorical"
+    },
+    {
+      "name": "taster_twitter_handle",
+      "type": "categorical"
+    },
+    {
+      "name": "title",
+      "type": "categorical"
+    },
+    {
+      "name": "variety",
+      "type": "categorical"
+    },
+    {
+      "name": "winery",
+      "type": "categorical"
+    }
+  ]
+}

syntheticFail/c18/ctgan/ctgan-c18-20260501_210423/ctgan_train_continuous_imputed.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b271b3e14eeb2e602ba5e52a2ca7e05b90a6e38956b8cc4fbbd386333b151651
+size 42345873

syntheticFail/c18/ctgan/ctgan-c18-20260501_210423/input_snapshot.json

@@ -0,0 +1,36 @@
+{
+  "dataset_id": "c18",
+  "model": "ctgan",
+  "inputs": {
+    "train_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c18/c18-train.csv",
+      "exists": true,
+      "size": 42421154,
+      "sha256": "3b326339e9fd6419ed7caffb94e6957e9e0c13c76339f70ec8d1bd84d81393e9"
+    },
+    "val_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c18/c18-val.csv",
+      "exists": true,
+      "size": 5302615,
+      "sha256": "0e17f9ea81c6ca13529c086ed8b85ced2ba8c45176bc6fa6ac5b27e64c154f65"
+    },
+    "test_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c18/c18-test.csv",
+      "exists": true,
+      "size": 5296049,
+      "sha256": "6121042b3fe09b62805099e74dff6ab930c15a6e971701148cf371f8045ae324"
+    },
+    "profile_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c18/c18-dataset_profile.json",
+      "exists": true,
+      "size": 7724,
+      "sha256": "eea1fac65d6e8f583b027729bbf6f43ff54f0d928a42ddc09777e5ff2647dd3f"
+    },
+    "contract_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c18/c18-dataset_contract_v1.json",
+      "exists": true,
+      "size": 8987,
+      "sha256": "4cf4ba1c0a178467ed359d0a2da01debc7327e13cc72fbeb5a9aae0deba94ea5"
+    }
+  }
+}

syntheticFail/c18/ctgan/ctgan-c18-20260501_210423/models_300epochs/train_20260501_210427.log

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syntheticFail/c18/ctgan/ctgan-c18-20260501_210423/public_gate/public_gate_report.json

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+    "test": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c18/c18-test.csv"
+  }
+}

syntheticFail/c18/ctgan/ctgan-c18-20260501_210423/public_gate/staged_input_manifest.json

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syntheticFail/c18/ctgan/ctgan-c18-20260501_210423/runtime_result.json

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+{
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+}

syntheticFail/c18/ctgan/ctgan-c18-20260501_210423/staged/ctgan/adapter_report.json

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+  "adapter_fail_detail": null,
+  "adapter_transforms_applied": [],
+  "model_input_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c18/ctgan/ctgan-c18-20260501_210423/staged/ctgan/model_input_manifest.json"
+}

syntheticFail/c18/ctgan/ctgan-c18-20260501_210423/staged/ctgan/adapter_transforms_applied.json

@@ -0,0 +1 @@
+[]

syntheticFail/c18/ctgan/ctgan-c18-20260501_210423/staged/ctgan/model_input_manifest.json

@@ -0,0 +1,308 @@
+{
+  "dataset_id": "c18",
+  "model": "ctgan",
+  "target_column": "country",
+  "task_type": "classification",
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+    {
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+      "role": "feature",
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+        "example_values": [
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+          "22791",
+          "56702",
+          "19384"
+        ]
+      }
+    },
+    {
+      "name": "country",
+      "role": "target",
+      "semantic_type": "categorical",
+      "nullable": true,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.000414,
+        "unique_count": 43,
+        "unique_ratio": 0.000414,
+        "example_values": [
+          "US",
+          "Portugal",
+          "France",
+          "Italy",
+          "Chile"
+        ]
+      }
+    },
+    {
+      "name": "description",
+      "role": "feature",
+      "semantic_type": "text",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "keep_raw",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 20000,
+        "unique_ratio": 0.192352,
+        "example_values": [
+          "This is a classic, well made Lake County Sauvignon Blanc. It's creamy with fig, vanilla, cantaloupe and pineapple flavors, but with a crisp finish.",
+          "Plum, blueberry and a tinge of sour dried-fruit aromas get lifted with dill, spearmint and anise on the nose of this wine. It's juicy on the palate with purple and blue fruits, but cut with a strong and nice mint character, also showing some dark chocolate nibs.",
+          "The Cambres vineyard sits on the hills just to the south of the Douro river, giving a rich, perfumed style of wood-aged wine. This is structured, with a dry core and big black fruits that will soften and come together. Drink this solid, ripe wine from 2017.",
+          "Made from 50% Syrah, 40% Grenache and 10% Cinsault, this opens with ripe peach and red-berry aromas that are framed by mentholated herbal tones. The medium-weight palate offers a round mouthfeel and soft acidity, followed by a lightly pithy finish.",
+          "The intriguing nose suggests blue flower, scorched earth, smoke, spice and ripe dark fruit. The palate is subtle and reserved, revealing mature black cherry, ground black pepper and allspice alongside tightly knit, velvety tannins, with a decadent licorice note on the finish."
+        ]
+      }
+    },
+    {
+      "name": "designation",
+      "role": "feature",
+      "semantic_type": "text",
+      "nullable": true,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "keep_raw",
+      "profile_stats": {
+        "missing_rate": 0.288403,
+        "unique_count": 20000,
+        "unique_ratio": 0.27031,
+        "example_values": [
+          "Reserva",
+          "Le",
+          "Magnus",
+          "Freedom Hill Vineyard",
+          "Château de Nervers"
+        ]
+      }
+    },
+    {
+      "name": "points",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 21,
+        "unique_ratio": 0.000202,
+        "example_values": [
+          "87",
+          "89",
+          "90",
+          "91",
+          "88"
+        ]
+      }
+    },
+    {
+      "name": "price",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": true,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.068997,
+        "unique_count": 368,
+        "unique_ratio": 0.003802,
+        "example_values": [
+          "16.0",
+          "25.0",
+          "13.0",
+          "18.0",
+          "36.0"
+        ]
+      }
+    },
+    {
+      "name": "province",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": true,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.000414,
+        "unique_count": 411,
+        "unique_ratio": 0.003954,
+        "example_values": [
+          "California",
+          "Douro",
+          "Languedoc-Roussillon",
+          "Southern Italy",
+          "Oregon"
+        ]
+      }
+    },
+    {
+      "name": "region_1",
+      "role": "feature",
+      "semantic_type": "text",
+      "nullable": true,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "keep_raw",
+      "profile_stats": {
+        "missing_rate": 0.163307,
+        "unique_count": 1179,
+        "unique_ratio": 0.013552,
+        "example_values": [
+          "Lake County",
+          "Temecula Valley",
+          "Coteaux du Languedoc Pic Saint Loup",
+          "Puglia",
+          "Willamette Valley"
+        ]
+      }
+    },
+    {
+      "name": "region_2",
+      "role": "feature",
+      "semantic_type": "text",
+      "nullable": true,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "keep_raw",
+      "profile_stats": {
+        "missing_rate": 0.611622,
+        "unique_count": 17,
+        "unique_ratio": 0.000421,
+        "example_values": [
+          "South Coast",
+          "Willamette Valley",
+          "Central Coast",
+          "Napa",
+          "Sonoma"
+        ]
+      }
+    },
+    {
+      "name": "taster_name",
+      "role": "feature",
+      "semantic_type": "text",
+      "nullable": true,
+      "missing_tokens": [],
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+        "unique_ratio": 0.000229,
+        "example_values": [
+          "Virginie Boone",
+          "Matt Kettmann",
+          "Roger Voss",
+          "Lauren Buzzeo",
+          "Kerin O’Keefe"
+        ]
+      }
+    },
+    {
+      "name": "taster_twitter_handle",
+      "role": "feature",
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+      "nullable": true,
+      "missing_tokens": [],
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+      "impute_strategy": "mode",
+      "profile_stats": {
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+        "example_values": [
+          "@vboone",
+          "@mattkettmann",
+          "@vossroger",
+          "@laurbuzz",
+          "@kerinokeefe"
+        ]
+      }
+    },
+    {
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+      "role": "feature",
+      "semantic_type": "text",
+      "nullable": false,
+      "missing_tokens": [],
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+          "Guenoc 2012 Sauvignon Blanc (Lake County)",
+          "Falkner 2012 Cabernet Sauvignon (Temecula Valley)",
+          "Casa de Cambres 2009 Reserva Red (Douro)",
+          "Château de Lancyre 2016 Le Rosé (Coteaux du Languedoc Pic Saint Loup)",
+          "Ognissole 2011 Magnus Nero di Troia (Puglia)"
+        ]
+      }
+    },
+    {
+      "name": "variety",
+      "role": "feature",
+      "semantic_type": "text",
+      "nullable": true,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "keep_raw",
+      "profile_stats": {
+        "missing_rate": 1e-05,
+        "unique_count": 682,
+        "unique_ratio": 0.006559,
+        "example_values": [
+          "Sauvignon Blanc",
+          "Cabernet Sauvignon",
+          "Portuguese Red",
+          "Rosé",
+          "Nero di Troia"
+        ]
+      }
+    },
+    {
+      "name": "winery",
+      "role": "feature",
+      "semantic_type": "text",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "keep_raw",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 15786,
+        "unique_ratio": 0.151823,
+        "example_values": [
+          "Guenoc",
+          "Falkner",
+          "Casa de Cambres",
+          "Château de Lancyre",
+          "Ognissole"
+        ]
+      }
+    }
+  ],
+  "public_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c18/ctgan/ctgan-c18-20260501_210423/public_gate/staged_input_manifest.json",
+  "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c18/ctgan/ctgan-c18-20260501_210423/staged/public/train.csv",
+  "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c18/ctgan/ctgan-c18-20260501_210423/staged/public/val.csv",
+  "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c18/ctgan/ctgan-c18-20260501_210423/staged/public/test.csv",
+  "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c18/ctgan/ctgan-c18-20260501_210423/staged/public/staged_features.json",
+  "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c18/ctgan/ctgan-c18-20260501_210423/public_gate/public_gate_report.json"
+}

syntheticFail/c18/ctgan/ctgan-c18-20260501_210423/staged/public/staged_features.json

@@ -0,0 +1,72 @@
+[
+  {
+    "feature_name": "row_id",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "country",
+    "data_type": "categorical",
+    "is_target": true
+  },
+  {
+    "feature_name": "description",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "designation",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "points",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "price",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "province",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "region_1",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "region_2",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "taster_name",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "taster_twitter_handle",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "title",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "variety",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "winery",
+    "data_type": "categorical",
+    "is_target": false
+  }
+]

syntheticFail/c18/ctgan/ctgan-c18-20260501_210423/staged/public/test.csv

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+version https://git-lfs.github.com/spec/v1
+oid sha256:f9b247fe90d1b3de687afbee0871f768b5b9b41d8974110c1a1a4be0a1581258
+size 5283050

syntheticFail/c18/ctgan/ctgan-c18-20260501_210423/staged/public/train.csv

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+version https://git-lfs.github.com/spec/v1
+oid sha256:d36ba8fd95415355fed46a70cd71921339f0b4b8f05320279bef35443ce4cc16
+size 42317177

syntheticFail/c18/ctgan/ctgan-c18-20260501_210423/staged/public/val.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6368d0c3f97d7449830710d697fc67e7fb71fa7038bc480892279eb41c153f0b
+size 5289617

syntheticFail/c18/ctgan/ctgan-c18-20260501_214622/_ctgan_train.py

@@ -0,0 +1,17 @@
+import pandas as pd
+from ctgan.synthesizers.ctgan import CTGAN
+
+data = pd.read_csv("/work/output-Benchmark-trainonly-v1/c18/ctgan/ctgan-c18-20260501_214622/ctgan_train_continuous_imputed.csv")
+discrete_columns = ['country', 'description', 'designation', 'province', 'region_1', 'region_2', 'taster_name', 'taster_twitter_handle', 'title', 'variety', 'winery']
+model = CTGAN(
+    embedding_dim=8,
+    generator_dim=(16, 16),
+    discriminator_dim=(16, 16),
+    batch_size=10,
+    pac=1,
+    epochs=300,
+    verbose=True,
+)
+model.fit(data, discrete_columns)
+model.save("/work/output-Benchmark-trainonly-v1/c18/ctgan/ctgan-c18-20260501_214622/models_300epochs/ctgan_300epochs.pt")
+print("[CTGAN] Saved model ->", "/work/output-Benchmark-trainonly-v1/c18/ctgan/ctgan-c18-20260501_214622/models_300epochs/ctgan_300epochs.pt")

syntheticFail/c18/ctgan/ctgan-c18-20260501_214622/ctgan_metadata.json

@@ -0,0 +1,60 @@
+{
+  "columns": [
+    {
+      "name": "row_id",
+      "type": "continuous"
+    },
+    {
+      "name": "country",
+      "type": "categorical"
+    },
+    {
+      "name": "description",
+      "type": "categorical"
+    },
+    {
+      "name": "designation",
+      "type": "categorical"
+    },
+    {
+      "name": "points",
+      "type": "continuous"
+    },
+    {
+      "name": "price",
+      "type": "continuous"
+    },
+    {
+      "name": "province",
+      "type": "categorical"
+    },
+    {
+      "name": "region_1",
+      "type": "categorical"
+    },
+    {
+      "name": "region_2",
+      "type": "categorical"
+    },
+    {
+      "name": "taster_name",
+      "type": "categorical"
+    },
+    {
+      "name": "taster_twitter_handle",
+      "type": "categorical"
+    },
+    {
+      "name": "title",
+      "type": "categorical"
+    },
+    {
+      "name": "variety",
+      "type": "categorical"
+    },
+    {
+      "name": "winery",
+      "type": "categorical"
+    }
+  ]
+}

syntheticFail/c18/ctgan/ctgan-c18-20260501_214622/ctgan_train_continuous_imputed.csv

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b271b3e14eeb2e602ba5e52a2ca7e05b90a6e38956b8cc4fbbd386333b151651
+size 42345873

syntheticFail/c18/ctgan/ctgan-c18-20260501_214622/input_snapshot.json

@@ -0,0 +1,36 @@
+{
+  "dataset_id": "c18",
+  "model": "ctgan",
+  "inputs": {
+    "train_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c18/c18-train.csv",
+      "exists": true,
+      "size": 42421154,
+      "sha256": "3b326339e9fd6419ed7caffb94e6957e9e0c13c76339f70ec8d1bd84d81393e9"
+    },
+    "val_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c18/c18-val.csv",
+      "exists": true,
+      "size": 5302615,
+      "sha256": "0e17f9ea81c6ca13529c086ed8b85ced2ba8c45176bc6fa6ac5b27e64c154f65"
+    },
+    "test_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c18/c18-test.csv",
+      "exists": true,
+      "size": 5296049,
+      "sha256": "6121042b3fe09b62805099e74dff6ab930c15a6e971701148cf371f8045ae324"
+    },
+    "profile_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c18/c18-dataset_profile.json",
+      "exists": true,
+      "size": 7724,
+      "sha256": "eea1fac65d6e8f583b027729bbf6f43ff54f0d928a42ddc09777e5ff2647dd3f"
+    },
+    "contract_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c18/c18-dataset_contract_v1.json",
+      "exists": true,
+      "size": 8987,
+      "sha256": "4cf4ba1c0a178467ed359d0a2da01debc7327e13cc72fbeb5a9aae0deba94ea5"
+    }
+  }
+}

syntheticFail/c18/ctgan/ctgan-c18-20260501_214622/public_gate/normalized_schema_snapshot.json

@@ -0,0 +1,301 @@
+{
+  "dataset_id": "c18",
+  "target_column": "country",
+  "task_type": "classification",
+  "columns": [
+    {
+      "name": "row_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": 0.192352,
+        "example_values": [
+          "41338",
+          "72809",
+          "22791",
+          "56702",
+          "19384"
+        ]
+      }
+    },
+    {
+      "name": "country",
+      "role": "target",
+      "semantic_type": "categorical",
+      "nullable": true,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.000414,
+        "unique_count": 43,
+        "unique_ratio": 0.000414,
+        "example_values": [
+          "US",
+          "Portugal",
+          "France",
+          "Italy",
+          "Chile"
+        ]
+      }
+    },
+    {
+      "name": "description",
+      "role": "feature",
+      "semantic_type": "text",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "keep_raw",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 20000,
+        "unique_ratio": 0.192352,
+        "example_values": [
+          "This is a classic, well made Lake County Sauvignon Blanc. It's creamy with fig, vanilla, cantaloupe and pineapple flavors, but with a crisp finish.",
+          "Plum, blueberry and a tinge of sour dried-fruit aromas get lifted with dill, spearmint and anise on the nose of this wine. It's juicy on the palate with purple and blue fruits, but cut with a strong and nice mint character, also showing some dark chocolate nibs.",
+          "The Cambres vineyard sits on the hills just to the south of the Douro river, giving a rich, perfumed style of wood-aged wine. This is structured, with a dry core and big black fruits that will soften and come together. Drink this solid, ripe wine from 2017.",
+          "Made from 50% Syrah, 40% Grenache and 10% Cinsault, this opens with ripe peach and red-berry aromas that are framed by mentholated herbal tones. The medium-weight palate offers a round mouthfeel and soft acidity, followed by a lightly pithy finish.",
+          "The intriguing nose suggests blue flower, scorched earth, smoke, spice and ripe dark fruit. The palate is subtle and reserved, revealing mature black cherry, ground black pepper and allspice alongside tightly knit, velvety tannins, with a decadent licorice note on the finish."
+        ]
+      }
+    },
+    {
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+      "role": "feature",
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+      "parse_format": null,
+      "impute_strategy": "keep_raw",
+      "profile_stats": {
+        "missing_rate": 0.288403,
+        "unique_count": 20000,
+        "unique_ratio": 0.27031,
+        "example_values": [
+          "Reserva",
+          "Le",
+          "Magnus",
+          "Freedom Hill Vineyard",
+          "Château de Nervers"
+        ]
+      }
+    },
+    {
+      "name": "points",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
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+        "unique_ratio": 0.000202,
+        "example_values": [
+          "87",
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+          "90",
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+        ]
+      }
+    },
+    {
+      "name": "price",
+      "role": "feature",
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syntheticFail/c18/ctgan/ctgan-c18-20260501_214622/public_gate/public_gate_report.json

@@ -0,0 +1,37 @@
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+    "test": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c18/c18-test.csv"
+  }
+}

syntheticFail/c18/ctgan/ctgan-c18-20260501_214622/public_gate/staged_input_manifest.json

@@ -0,0 +1,306 @@
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syntheticFail/c18/ctgan/ctgan-c18-20260501_214622/staged/ctgan/adapter_report.json

@@ -0,0 +1,7 @@
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syntheticFail/c18/ctgan/ctgan-c18-20260501_214622/staged/ctgan/adapter_transforms_applied.json

@@ -0,0 +1 @@
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syntheticFail/c18/ctgan/ctgan-c18-20260501_214622/staged/ctgan/model_input_manifest.json

@@ -0,0 +1,308 @@
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+      "parse_format": null,
+      "impute_strategy": "keep_raw",
+      "profile_stats": {
+        "missing_rate": 0.163307,
+        "unique_count": 1179,
+        "unique_ratio": 0.013552,
+        "example_values": [
+          "Lake County",
+          "Temecula Valley",
+          "Coteaux du Languedoc Pic Saint Loup",
+          "Puglia",
+          "Willamette Valley"
+        ]
+      }
+    },
+    {
+      "name": "region_2",
+      "role": "feature",
+      "semantic_type": "text",
+      "nullable": true,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "keep_raw",
+      "profile_stats": {
+        "missing_rate": 0.611622,
+        "unique_count": 17,
+        "unique_ratio": 0.000421,
+        "example_values": [
+          "South Coast",
+          "Willamette Valley",
+          "Central Coast",
+          "Napa",
+          "Sonoma"
+        ]
+      }
+    },
+    {
+      "name": "taster_name",
+      "role": "feature",
+      "semantic_type": "text",
+      "nullable": true,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "keep_raw",
+      "profile_stats": {
+        "missing_rate": 0.201941,
+        "unique_count": 19,
+        "unique_ratio": 0.000229,
+        "example_values": [
+          "Virginie Boone",
+          "Matt Kettmann",
+          "Roger Voss",
+          "Lauren Buzzeo",
+          "Kerin O’Keefe"
+        ]
+      }
+    },
+    {
+      "name": "taster_twitter_handle",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": true,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.239882,
+        "unique_count": 15,
+        "unique_ratio": 0.00019,
+        "example_values": [
+          "@vboone",
+          "@mattkettmann",
+          "@vossroger",
+          "@laurbuzz",
+          "@kerinokeefe"
+        ]
+      }
+    },
+    {
+      "name": "title",
+      "role": "feature",
+      "semantic_type": "text",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "keep_raw",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 20000,
+        "unique_ratio": 0.192352,
+        "example_values": [
+          "Guenoc 2012 Sauvignon Blanc (Lake County)",
+          "Falkner 2012 Cabernet Sauvignon (Temecula Valley)",
+          "Casa de Cambres 2009 Reserva Red (Douro)",
+          "Château de Lancyre 2016 Le Rosé (Coteaux du Languedoc Pic Saint Loup)",
+          "Ognissole 2011 Magnus Nero di Troia (Puglia)"
+        ]
+      }
+    },
+    {
+      "name": "variety",
+      "role": "feature",
+      "semantic_type": "text",
+      "nullable": true,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "keep_raw",
+      "profile_stats": {
+        "missing_rate": 1e-05,
+        "unique_count": 682,
+        "unique_ratio": 0.006559,
+        "example_values": [
+          "Sauvignon Blanc",
+          "Cabernet Sauvignon",
+          "Portuguese Red",
+          "Rosé",
+          "Nero di Troia"
+        ]
+      }
+    },
+    {
+      "name": "winery",
+      "role": "feature",
+      "semantic_type": "text",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "keep_raw",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 15786,
+        "unique_ratio": 0.151823,
+        "example_values": [
+          "Guenoc",
+          "Falkner",
+          "Casa de Cambres",
+          "Château de Lancyre",
+          "Ognissole"
+        ]
+      }
+    }
+  ],
+  "public_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c18/ctgan/ctgan-c18-20260501_214622/public_gate/staged_input_manifest.json",
+  "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c18/ctgan/ctgan-c18-20260501_214622/staged/public/train.csv",
+  "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c18/ctgan/ctgan-c18-20260501_214622/staged/public/val.csv",
+  "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c18/ctgan/ctgan-c18-20260501_214622/staged/public/test.csv",
+  "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c18/ctgan/ctgan-c18-20260501_214622/staged/public/staged_features.json",
+  "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c18/ctgan/ctgan-c18-20260501_214622/public_gate/public_gate_report.json"
+}

syntheticFail/c18/ctgan/ctgan-c18-20260501_214622/staged/public/staged_features.json

@@ -0,0 +1,72 @@
+[
+  {
+    "feature_name": "row_id",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "country",
+    "data_type": "categorical",
+    "is_target": true
+  },
+  {
+    "feature_name": "description",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "designation",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "points",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "price",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "province",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "region_1",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "region_2",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "taster_name",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "taster_twitter_handle",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "title",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "variety",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "winery",
+    "data_type": "categorical",
+    "is_target": false
+  }
+]

syntheticFail/c18/ctgan/ctgan-c18-20260501_214622/staged/public/test.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f9b247fe90d1b3de687afbee0871f768b5b9b41d8974110c1a1a4be0a1581258
+size 5283050

syntheticFail/c18/ctgan/ctgan-c18-20260501_214622/staged/public/train.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d36ba8fd95415355fed46a70cd71921339f0b4b8f05320279bef35443ce4cc16
+size 42317177

syntheticFail/c18/ctgan/ctgan-c18-20260501_214622/staged/public/val.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6368d0c3f97d7449830710d697fc67e7fb71fa7038bc480892279eb41c153f0b
+size 5289617

syntheticFail/c18/ctgan/ctgan-c18-20260511_042915/_ctgan_train.py

@@ -0,0 +1,17 @@
+import pandas as pd
+from ctgan.synthesizers.ctgan import CTGAN
+
+data = pd.read_csv("/work/output-Benchmark-trainonly-v1/c18/ctgan/ctgan-c18-20260511_042915/ctgan_train_prepared.csv")
+discrete_columns = ['country', 'description', 'designation', 'province', 'region_1', 'region_2', 'taster_name', 'taster_twitter_handle', 'title', 'variety', 'winery']
+model = CTGAN(
+    embedding_dim=16,
+    generator_dim=(32, 32),
+    discriminator_dim=(32, 32),
+    batch_size=64,
+    pac=1,
+    epochs=100,
+    verbose=True,
+)
+model.fit(data, discrete_columns)
+model.save("/work/output-Benchmark-trainonly-v1/c18/ctgan/ctgan-c18-20260511_042915/models_100epochs/ctgan_100epochs.pt")
+print("[CTGAN] Saved model ->", "/work/output-Benchmark-trainonly-v1/c18/ctgan/ctgan-c18-20260511_042915/models_100epochs/ctgan_100epochs.pt")

syntheticFail/c18/ctgan/ctgan-c18-20260511_042915/ctgan_metadata.json

@@ -0,0 +1,60 @@
+{
+  "columns": [
+    {
+      "name": "row_id",
+      "type": "continuous"
+    },
+    {
+      "name": "country",
+      "type": "categorical"
+    },
+    {
+      "name": "description",
+      "type": "categorical"
+    },
+    {
+      "name": "designation",
+      "type": "categorical"
+    },
+    {
+      "name": "points",
+      "type": "continuous"
+    },
+    {
+      "name": "price",
+      "type": "continuous"
+    },
+    {
+      "name": "province",
+      "type": "categorical"
+    },
+    {
+      "name": "region_1",
+      "type": "categorical"
+    },
+    {
+      "name": "region_2",
+      "type": "categorical"
+    },
+    {
+      "name": "taster_name",
+      "type": "categorical"
+    },
+    {
+      "name": "taster_twitter_handle",
+      "type": "categorical"
+    },
+    {
+      "name": "title",
+      "type": "categorical"
+    },
+    {
+      "name": "variety",
+      "type": "categorical"
+    },
+    {
+      "name": "winery",
+      "type": "categorical"
+    }
+  ]
+}

syntheticFail/c18/ctgan/ctgan-c18-20260511_042915/ctgan_train_prepared.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:930ae672610bf9f42778de8d1083822126a17cf820ab7cdec39531acc1d641fc
+size 20370962