Resume SynthData0523 main/c7 batch 9

.gitattributes

@@ -5700,3 +5700,29 @@ SynthData0523/main/c7/tabsyn/tabsyn-c7-20260420_233446/synthetic/tabsyn_c7/real.
 SynthData0523/main/c7/tabsyn/tabsyn-c7-20260420_233446/synthetic/tabsyn_c7/test.csv filter=lfs diff=lfs merge=lfs -text
 SynthData0523/main/c7/tabsyn/tabsyn-c7-20260420_233446/tabsyn-c7-10368-20260421_004501.csv filter=lfs diff=lfs merge=lfs -text
 SynthData0523/main/c7/tabsyn/tabsyn-c7-20260420_233446/train_20260420_233446.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c7/tabsyn/tabsyn-c7-20260429_052312/data/tabsyn_c7/X_cat_test.npy filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c7/tabsyn/tabsyn-c7-20260429_052312/data/tabsyn_c7/X_cat_train.npy filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c7/tabsyn/tabsyn-c7-20260429_052312/data/tabsyn_c7/X_num_test.npy filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c7/tabsyn/tabsyn-c7-20260429_052312/data/tabsyn_c7/X_num_train.npy filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c7/tabsyn/tabsyn-c7-20260429_052312/data/tabsyn_c7/test.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c7/tabsyn/tabsyn-c7-20260429_052312/data/tabsyn_c7/train.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c7/tabsyn/tabsyn-c7-20260429_052312/data/tabsyn_c7/y_test.npy filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c7/tabsyn/tabsyn-c7-20260429_052312/data/tabsyn_c7/y_train.npy filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c7/tabsyn/tabsyn-c7-20260429_052312/gen_20260429_061302.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c7/tabsyn/tabsyn-c7-20260429_052312/staged/public/test.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c7/tabsyn/tabsyn-c7-20260429_052312/staged/public/train.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c7/tabsyn/tabsyn-c7-20260429_052312/staged/public/val.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c7/tabsyn/tabsyn-c7-20260429_052312/synthetic/tabsyn_c7/real.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c7/tabsyn/tabsyn-c7-20260429_052312/synthetic/tabsyn_c7/test.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c7/tabsyn/tabsyn-c7-20260429_052312/tabsyn-c7-10368-20260429_061302.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c7/tabsyn/tabsyn-c7-20260429_052312/train_20260429_052312.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c7/tvae/tvae-c7-20260321_070722/gen_20260321_070932.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c7/tvae/tvae-c7-20260321_070722/gen_20260330_065302.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c7/tvae/tvae-c7-20260321_070722/models_300epochs/train_20260321_070722.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c7/tvae/tvae-c7-20260321_070722/models_300epochs/tvae_300epochs.pt filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c7/tvae/tvae-c7-20260321_070722/staged/public/test.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c7/tvae/tvae-c7-20260321_070722/staged/public/train.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c7/tvae/tvae-c7-20260321_070722/staged/public/val.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c7/tvae/tvae-c7-20260321_070722/tvae-c7-1000-20260321_070932.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c7/tvae/tvae-c7-20260321_070722/tvae-c7-10368-20260330_065302.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c7/tvae/tvae-c7-20260429_031938/gen_20260429_032040.log filter=lfs diff=lfs merge=lfs -text

SynthData0523/main/c7/tabsyn/tabsyn-c7-20260429_052312/data/tabsyn_c7/X_cat_test.npy

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5898435dc71fd39ba74a22d4faf107144b4c9f639078c4877ab5039b7e25c161
+size 580736

SynthData0523/main/c7/tabsyn/tabsyn-c7-20260429_052312/data/tabsyn_c7/X_cat_train.npy

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5898435dc71fd39ba74a22d4faf107144b4c9f639078c4877ab5039b7e25c161
+size 580736

SynthData0523/main/c7/tabsyn/tabsyn-c7-20260429_052312/data/tabsyn_c7/X_num_test.npy

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b5d26ec504320ce42b09c7bc5b58833c8ac8a26a5085fa51047744a2b19e0da2
+size 41600

SynthData0523/main/c7/tabsyn/tabsyn-c7-20260429_052312/data/tabsyn_c7/X_num_train.npy

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b5d26ec504320ce42b09c7bc5b58833c8ac8a26a5085fa51047744a2b19e0da2
+size 41600

SynthData0523/main/c7/tabsyn/tabsyn-c7-20260429_052312/data/tabsyn_c7/info.json

@@ -0,0 +1,105 @@
+{
+  "name": "tabsyn_c7",
+  "task_type": "multiclass",
+  "n_num_features": 1,
+  "n_cat_features": 7,
+  "train_size": 10368,
+  "num_col_idx": [
+    0
+  ],
+  "cat_col_idx": [
+    1,
+    2,
+    3,
+    4,
+    5,
+    6,
+    7
+  ],
+  "target_col_idx": [
+    8
+  ],
+  "column_names": [
+    "parents",
+    "has_nurs",
+    "form",
+    "children",
+    "housing",
+    "finance",
+    "social",
+    "health",
+    "class"
+  ],
+  "train_num": 10368,
+  "test_num": 10368,
+  "header": 0,
+  "file_type": "csv",
+  "data_path": "data/tabsyn_c7/train.csv",
+  "test_path": null,
+  "idx_mapping": {
+    "0": 0,
+    "1": 1,
+    "2": 2,
+    "3": 3,
+    "4": 4,
+    "5": 5,
+    "6": 6,
+    "7": 7,
+    "8": 8
+  },
+  "inverse_idx_mapping": {
+    "0": 0,
+    "1": 1,
+    "2": 2,
+    "3": 3,
+    "4": 4,
+    "5": 5,
+    "6": 6,
+    "7": 7,
+    "8": 8
+  },
+  "idx_name_mapping": {
+    "0": "parents",
+    "1": "has_nurs",
+    "2": "form",
+    "3": "children",
+    "4": "housing",
+    "5": "finance",
+    "6": "social",
+    "7": "health",
+    "8": "class"
+  },
+  "n_classes": 5,
+  "metadata": {
+    "columns": {
+      "0": {
+        "sdtype": "numerical",
+        "computer_representation": "Float"
+      },
+      "1": {
+        "sdtype": "categorical"
+      },
+      "2": {
+        "sdtype": "categorical"
+      },
+      "3": {
+        "sdtype": "categorical"
+      },
+      "4": {
+        "sdtype": "categorical"
+      },
+      "5": {
+        "sdtype": "categorical"
+      },
+      "6": {
+        "sdtype": "categorical"
+      },
+      "7": {
+        "sdtype": "categorical"
+      },
+      "8": {
+        "sdtype": "categorical"
+      }
+    }
+  }
+}

SynthData0523/main/c7/tabsyn/tabsyn-c7-20260429_052312/data/tabsyn_c7/test.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:66fea27ff1eb37a50e165cda89ed19e1b96f6a3f11cc541ffd1a427c3211f00a
+size 186691

SynthData0523/main/c7/tabsyn/tabsyn-c7-20260429_052312/data/tabsyn_c7/train.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:66fea27ff1eb37a50e165cda89ed19e1b96f6a3f11cc541ffd1a427c3211f00a
+size 186691

SynthData0523/main/c7/tabsyn/tabsyn-c7-20260429_052312/data/tabsyn_c7/y_test.npy

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6c7233c5790f228c81991a22961964f9cb18192e1d68da9a5bc0555156e771f1
+size 83072

SynthData0523/main/c7/tabsyn/tabsyn-c7-20260429_052312/data/tabsyn_c7/y_train.npy

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6c7233c5790f228c81991a22961964f9cb18192e1d68da9a5bc0555156e771f1
+size 83072

SynthData0523/main/c7/tabsyn/tabsyn-c7-20260429_052312/gen_20260429_061302.log

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9b444b4929848be3b58d03551ea3fdb6d3f17bfa36bce07cd3642988c2aa68e0
+size 944

SynthData0523/main/c7/tabsyn/tabsyn-c7-20260429_052312/input_snapshot.json

@@ -0,0 +1,36 @@
+{
+  "dataset_id": "c7",
+  "model": "tabsyn",
+  "inputs": {
+    "train_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c7/c7-train.csv",
+      "exists": true,
+      "size": 857718,
+      "sha256": "0ec97b49cecfd452f07551a63db7b812b5998a1e37101eae82255d00aa6a6243"
+    },
+    "val_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c7/c7-val.csv",
+      "exists": true,
+      "size": 107489,
+      "sha256": "4501bb2be19f7e13b7ff5e9dedd74e3dd42f2cafc8cefd5435bda61fc974a769"
+    },
+    "test_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c7/c7-test.csv",
+      "exists": true,
+      "size": 107327,
+      "sha256": "f9e808033a07feabb980addcf8c5f75111189ac2fb70993b8ad0f5ca3d5cfbae"
+    },
+    "profile_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c7/c7-dataset_profile.json",
+      "exists": true,
+      "size": 4014,
+      "sha256": "60424c615b91a26cf02d9bc1d7f91caa0ceb95bab39eb7cff6f9edea3ca0600e"
+    },
+    "contract_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c7/c7-dataset_contract_v1.json",
+      "exists": true,
+      "size": 4759,
+      "sha256": "79a434a1e2553b14b9f2e98c1adfc32a71aaa0d6cd49234f3f8a5603efca4ebd"
+    }
+  }
+}

SynthData0523/main/c7/tabsyn/tabsyn-c7-20260429_052312/public_gate/normalized_schema_snapshot.json

@@ -0,0 +1,183 @@
+{
+  "dataset_id": "c7",
+  "target_column": "class",
+  "task_type": "classification",
+  "columns": [
+    {
+      "name": "parents",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 3,
+        "unique_ratio": 0.000289,
+        "example_values": [
+          "usual",
+          "pretentious",
+          "great_pret"
+        ]
+      }
+    },
+    {
+      "name": "has_nurs",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 5,
+        "unique_ratio": 0.000482,
+        "example_values": [
+          "very_crit",
+          "critical",
+          "improper",
+          "less_proper",
+          "proper"
+        ]
+      }
+    },
+    {
+      "name": "form",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 0.000386,
+        "example_values": [
+          "complete",
+          "completed",
+          "incomplete",
+          "foster"
+        ]
+      }
+    },
+    {
+      "name": "children",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 0.000386,
+        "example_values": [
+          "1",
+          "3",
+          "2",
+          "more"
+        ]
+      }
+    },
+    {
+      "name": "housing",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 3,
+        "unique_ratio": 0.000289,
+        "example_values": [
+          "less_conv",
+          "convenient",
+          "critical"
+        ]
+      }
+    },
+    {
+      "name": "finance",
+      "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": 0.000193,
+        "example_values": [
+          "convenient",
+          "inconv"
+        ]
+      }
+    },
+    {
+      "name": "social",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 3,
+        "unique_ratio": 0.000289,
+        "example_values": [
+          "slightly_prob",
+          "nonprob",
+          "problematic"
+        ]
+      }
+    },
+    {
+      "name": "health",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 3,
+        "unique_ratio": 0.000289,
+        "example_values": [
+          "recommended",
+          "priority",
+          "not_recom"
+        ]
+      }
+    },
+    {
+      "name": "class",
+      "role": "target",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 5,
+        "unique_ratio": 0.000482,
+        "example_values": [
+          "priority",
+          "spec_prior",
+          "not_recom",
+          "very_recom",
+          "recommend"
+        ]
+      }
+    }
+  ]
+}

SynthData0523/main/c7/tabsyn/tabsyn-c7-20260429_052312/public_gate/public_gate_report.json

@@ -0,0 +1,37 @@
+{
+  "dataset_id": "c7",
+  "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": "class",
+  "task_type": "classification",
+  "input_splits": {
+    "train": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c7/c7-train.csv",
+    "val": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c7/c7-val.csv",
+    "test": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c7/c7-test.csv"
+  }
+}

SynthData0523/main/c7/tabsyn/tabsyn-c7-20260429_052312/public_gate/staged_input_manifest.json

@@ -0,0 +1,188 @@
+{
+  "dataset_id": "c7",
+  "target_column": "class",
+  "task_type": "classification",
+  "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c7/tabsyn/tabsyn-c7-20260429_052312/staged/public/train.csv",
+  "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c7/tabsyn/tabsyn-c7-20260429_052312/staged/public/val.csv",
+  "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c7/tabsyn/tabsyn-c7-20260429_052312/staged/public/test.csv",
+  "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c7/tabsyn/tabsyn-c7-20260429_052312/staged/public/staged_features.json",
+  "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c7/tabsyn/tabsyn-c7-20260429_052312/public_gate/public_gate_report.json",
+  "column_schema": [
+    {
+      "name": "parents",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 3,
+        "unique_ratio": 0.000289,
+        "example_values": [
+          "usual",
+          "pretentious",
+          "great_pret"
+        ]
+      }
+    },
+    {
+      "name": "has_nurs",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 5,
+        "unique_ratio": 0.000482,
+        "example_values": [
+          "very_crit",
+          "critical",
+          "improper",
+          "less_proper",
+          "proper"
+        ]
+      }
+    },
+    {
+      "name": "form",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 0.000386,
+        "example_values": [
+          "complete",
+          "completed",
+          "incomplete",
+          "foster"
+        ]
+      }
+    },
+    {
+      "name": "children",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 0.000386,
+        "example_values": [
+          "1",
+          "3",
+          "2",
+          "more"
+        ]
+      }
+    },
+    {
+      "name": "housing",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 3,
+        "unique_ratio": 0.000289,
+        "example_values": [
+          "less_conv",
+          "convenient",
+          "critical"
+        ]
+      }
+    },
+    {
+      "name": "finance",
+      "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": 0.000193,
+        "example_values": [
+          "convenient",
+          "inconv"
+        ]
+      }
+    },
+    {
+      "name": "social",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 3,
+        "unique_ratio": 0.000289,
+        "example_values": [
+          "slightly_prob",
+          "nonprob",
+          "problematic"
+        ]
+      }
+    },
+    {
+      "name": "health",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 3,
+        "unique_ratio": 0.000289,
+        "example_values": [
+          "recommended",
+          "priority",
+          "not_recom"
+        ]
+      }
+    },
+    {
+      "name": "class",
+      "role": "target",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 5,
+        "unique_ratio": 0.000482,
+        "example_values": [
+          "priority",
+          "spec_prior",
+          "not_recom",
+          "very_recom",
+          "recommend"
+        ]
+      }
+    }
+  ]
+}

SynthData0523/main/c7/tabsyn/tabsyn-c7-20260429_052312/runtime_result.json

@@ -0,0 +1,15 @@
+{
+  "dataset_id": "c7",
+  "model": "tabsyn",
+  "run_id": "tabsyn-c7-20260429_052312",
+  "public_gate_status": "pass",
+  "adapter_ready_status": "pass",
+  "train_status": "success",
+  "generate_status": "success",
+  "reason_code": null,
+  "reason_detail": null,
+  "artifacts": {
+    "synthetic_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c7/tabsyn/tabsyn-c7-20260429_052312/tabsyn-c7-10368-20260429_061302.csv",
+    "model_path": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c7/tabsyn/tabsyn-c7-20260429_052312"
+  }
+}

SynthData0523/main/c7/tabsyn/tabsyn-c7-20260429_052312/staged/public/staged_features.json

@@ -0,0 +1,47 @@
+[
+  {
+    "feature_name": "parents",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "has_nurs",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "form",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "children",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "housing",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "finance",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "social",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "health",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "class",
+    "data_type": "categorical",
+    "is_target": true
+  }
+]

SynthData0523/main/c7/tabsyn/tabsyn-c7-20260429_052312/staged/public/test.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2042076337d5c37c6476e6bca2bd33cb5a171450c27894534ef50ac223256058
+size 106030

SynthData0523/main/c7/tabsyn/tabsyn-c7-20260429_052312/staged/public/train.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b37f6b2ef5257f40bd826ac956749881f0f474362bdb56e8c5728ad629242e3a
+size 847349

SynthData0523/main/c7/tabsyn/tabsyn-c7-20260429_052312/staged/public/val.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:eff6dec27c3740661a1ae84dea391d690dfb60342bfd5d7527b903fdd6009780
+size 106192

SynthData0523/main/c7/tabsyn/tabsyn-c7-20260429_052312/staged/tabsyn/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-Benchmark-trainonly-v1/c7/tabsyn/tabsyn-c7-20260429_052312/staged/tabsyn/model_input_manifest.json"
+}

SynthData0523/main/c7/tabsyn/tabsyn-c7-20260429_052312/staged/tabsyn/adapter_transforms_applied.json

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

SynthData0523/main/c7/tabsyn/tabsyn-c7-20260429_052312/staged/tabsyn/model_input_manifest.json

@@ -0,0 +1,190 @@
+{
+  "dataset_id": "c7",
+  "model": "tabsyn",
+  "target_column": "class",
+  "task_type": "classification",
+  "column_schema": [
+    {
+      "name": "parents",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 3,
+        "unique_ratio": 0.000289,
+        "example_values": [
+          "usual",
+          "pretentious",
+          "great_pret"
+        ]
+      }
+    },
+    {
+      "name": "has_nurs",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 5,
+        "unique_ratio": 0.000482,
+        "example_values": [
+          "very_crit",
+          "critical",
+          "improper",
+          "less_proper",
+          "proper"
+        ]
+      }
+    },
+    {
+      "name": "form",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 0.000386,
+        "example_values": [
+          "complete",
+          "completed",
+          "incomplete",
+          "foster"
+        ]
+      }
+    },
+    {
+      "name": "children",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 0.000386,
+        "example_values": [
+          "1",
+          "3",
+          "2",
+          "more"
+        ]
+      }
+    },
+    {
+      "name": "housing",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 3,
+        "unique_ratio": 0.000289,
+        "example_values": [
+          "less_conv",
+          "convenient",
+          "critical"
+        ]
+      }
+    },
+    {
+      "name": "finance",
+      "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": 0.000193,
+        "example_values": [
+          "convenient",
+          "inconv"
+        ]
+      }
+    },
+    {
+      "name": "social",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 3,
+        "unique_ratio": 0.000289,
+        "example_values": [
+          "slightly_prob",
+          "nonprob",
+          "problematic"
+        ]
+      }
+    },
+    {
+      "name": "health",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 3,
+        "unique_ratio": 0.000289,
+        "example_values": [
+          "recommended",
+          "priority",
+          "not_recom"
+        ]
+      }
+    },
+    {
+      "name": "class",
+      "role": "target",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 5,
+        "unique_ratio": 0.000482,
+        "example_values": [
+          "priority",
+          "spec_prior",
+          "not_recom",
+          "very_recom",
+          "recommend"
+        ]
+      }
+    }
+  ],
+  "public_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c7/tabsyn/tabsyn-c7-20260429_052312/public_gate/staged_input_manifest.json",
+  "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c7/tabsyn/tabsyn-c7-20260429_052312/staged/public/train.csv",
+  "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c7/tabsyn/tabsyn-c7-20260429_052312/staged/public/val.csv",
+  "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c7/tabsyn/tabsyn-c7-20260429_052312/staged/public/test.csv",
+  "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c7/tabsyn/tabsyn-c7-20260429_052312/staged/public/staged_features.json",
+  "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c7/tabsyn/tabsyn-c7-20260429_052312/public_gate/public_gate_report.json"
+}

SynthData0523/main/c7/tabsyn/tabsyn-c7-20260429_052312/synthetic/tabsyn_c7/real.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:66fea27ff1eb37a50e165cda89ed19e1b96f6a3f11cc541ffd1a427c3211f00a
+size 186691

SynthData0523/main/c7/tabsyn/tabsyn-c7-20260429_052312/synthetic/tabsyn_c7/test.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:66fea27ff1eb37a50e165cda89ed19e1b96f6a3f11cc541ffd1a427c3211f00a
+size 186691

SynthData0523/main/c7/tabsyn/tabsyn-c7-20260429_052312/tabsyn-c7-10368-20260429_061302.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7a10b06dc246c8e25614fecbe75e9f1503431cfecb2f846a391e43c737ae86fd
+size 839833

SynthData0523/main/c7/tabsyn/tabsyn-c7-20260429_052312/train_20260429_052312.log

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:68c2938cba689f704152160f6c88cb60bb429cdc47dea88b574d9ba45e91c756
+size 2890992

SynthData0523/main/c7/tvae/tvae-c7-20260321_070722/_tvae_generate.py

@@ -0,0 +1,5 @@
+from ctgan.synthesizers.tvae import TVAE
+model = TVAE.load("/work/output-SpecializedModels/c7/tvae/tvae-c7-20260321_070722/models_300epochs/tvae_300epochs.pt")
+samples = model.sample(10368)
+samples.to_csv("/work/output-SpecializedModels/c7/tvae/tvae-c7-20260321_070722/tvae-c7-10368-20260330_065302.csv", index=False)
+print(f"[TVAE] Generated 10368 rows -> /work/output-SpecializedModels/c7/tvae/tvae-c7-20260321_070722/tvae-c7-10368-20260330_065302.csv")

SynthData0523/main/c7/tvae/tvae-c7-20260321_070722/_tvae_train.py

@@ -0,0 +1,16 @@
+import json, sys
+import pandas as pd
+from ctgan.data import read_csv
+from ctgan.synthesizers.tvae import TVAE
+
+csv_path = "/work/output-SpecializedModels/c7/tvae/tvae-c7-20260321_070722/staged/public/train.csv"
+meta_path = "/work/output-SpecializedModels/c7/tvae/tvae-c7-20260321_070722/tvae_metadata.json"
+save_path = "/work/output-SpecializedModels/c7/tvae/tvae-c7-20260321_070722/models_300epochs/tvae_300epochs.pt"
+epochs = 300
+
+data, discrete_columns = read_csv(csv_path, meta_path, header=True, discrete=None)
+print(f"[TVAE] Training on {len(data)} rows, {len(data.columns)} cols, epochs={epochs}")
+model = TVAE(epochs=epochs, batch_size=500)
+model.fit(data, discrete_columns)
+model.save(save_path)
+print(f"[TVAE] Model saved -> {save_path}")

SynthData0523/main/c7/tvae/tvae-c7-20260321_070722/gen_20260321_070932.log

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3a4c62a09c7b61c41351777af1a5bd1e4efe9301e2a2a68cbbd1e807ec298246
+size 126

SynthData0523/main/c7/tvae/tvae-c7-20260321_070722/gen_20260330_065302.log

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:175b1b68749c373f88efe97385d5f90bb16ab3cda3d22ab02ab44cd233008367
+size 128

SynthData0523/main/c7/tvae/tvae-c7-20260321_070722/input_snapshot.json

@@ -0,0 +1,36 @@
+{
+  "dataset_id": "c7",
+  "model": "tvae",
+  "inputs": {
+    "train_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c7/c7-train.csv",
+      "exists": true,
+      "size": 857718,
+      "sha256": "0ec97b49cecfd452f07551a63db7b812b5998a1e37101eae82255d00aa6a6243"
+    },
+    "val_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c7/c7-val.csv",
+      "exists": true,
+      "size": 107489,
+      "sha256": "4501bb2be19f7e13b7ff5e9dedd74e3dd42f2cafc8cefd5435bda61fc974a769"
+    },
+    "test_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c7/c7-test.csv",
+      "exists": true,
+      "size": 107327,
+      "sha256": "f9e808033a07feabb980addcf8c5f75111189ac2fb70993b8ad0f5ca3d5cfbae"
+    },
+    "profile_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c7/c7-dataset_profile.json",
+      "exists": true,
+      "size": 4014,
+      "sha256": "60424c615b91a26cf02d9bc1d7f91caa0ceb95bab39eb7cff6f9edea3ca0600e"
+    },
+    "contract_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c7/c7-dataset_contract_v1.json",
+      "exists": true,
+      "size": 4759,
+      "sha256": "79a434a1e2553b14b9f2e98c1adfc32a71aaa0d6cd49234f3f8a5603efca4ebd"
+    }
+  }
+}

SynthData0523/main/c7/tvae/tvae-c7-20260321_070722/models_300epochs/train_20260321_070722.log

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c5d763a6af4b2c1ea6494815f877c23f7f4a9e780ad1b14a1a9a2adeedb21675
+size 170

SynthData0523/main/c7/tvae/tvae-c7-20260321_070722/models_300epochs/tvae_300epochs.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9a29346cadb27080b0c38b6d143e1eddf8a9008feeffd2a0780565ae7b224cea
+size 536748

SynthData0523/main/c7/tvae/tvae-c7-20260321_070722/public_gate/normalized_schema_snapshot.json

@@ -0,0 +1,183 @@
+{
+  "dataset_id": "c7",
+  "target_column": "class",
+  "task_type": "classification",
+  "columns": [
+    {
+      "name": "parents",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 3,
+        "unique_ratio": 0.000289,
+        "example_values": [
+          "usual",
+          "pretentious",
+          "great_pret"
+        ]
+      }
+    },
+    {
+      "name": "has_nurs",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 5,
+        "unique_ratio": 0.000482,
+        "example_values": [
+          "very_crit",
+          "critical",
+          "improper",
+          "less_proper",
+          "proper"
+        ]
+      }
+    },
+    {
+      "name": "form",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 0.000386,
+        "example_values": [
+          "complete",
+          "completed",
+          "incomplete",
+          "foster"
+        ]
+      }
+    },
+    {
+      "name": "children",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 0.000386,
+        "example_values": [
+          "1",
+          "3",
+          "2",
+          "more"
+        ]
+      }
+    },
+    {
+      "name": "housing",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 3,
+        "unique_ratio": 0.000289,
+        "example_values": [
+          "less_conv",
+          "convenient",
+          "critical"
+        ]
+      }
+    },
+    {
+      "name": "finance",
+      "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": 0.000193,
+        "example_values": [
+          "convenient",
+          "inconv"
+        ]
+      }
+    },
+    {
+      "name": "social",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 3,
+        "unique_ratio": 0.000289,
+        "example_values": [
+          "slightly_prob",
+          "nonprob",
+          "problematic"
+        ]
+      }
+    },
+    {
+      "name": "health",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 3,
+        "unique_ratio": 0.000289,
+        "example_values": [
+          "recommended",
+          "priority",
+          "not_recom"
+        ]
+      }
+    },
+    {
+      "name": "class",
+      "role": "target",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 5,
+        "unique_ratio": 0.000482,
+        "example_values": [
+          "priority",
+          "spec_prior",
+          "not_recom",
+          "very_recom",
+          "recommend"
+        ]
+      }
+    }
+  ]
+}

SynthData0523/main/c7/tvae/tvae-c7-20260321_070722/public_gate/public_gate_report.json

@@ -0,0 +1,37 @@
+{
+  "dataset_id": "c7",
+  "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": "class",
+  "task_type": "classification",
+  "input_splits": {
+    "train": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c7/c7-train.csv",
+    "val": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c7/c7-val.csv",
+    "test": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c7/c7-test.csv"
+  }
+}

SynthData0523/main/c7/tvae/tvae-c7-20260321_070722/public_gate/staged_input_manifest.json

@@ -0,0 +1,188 @@
+{
+  "dataset_id": "c7",
+  "target_column": "class",
+  "task_type": "classification",
+  "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c7/tvae/tvae-c7-20260321_070722/staged/public/train.csv",
+  "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c7/tvae/tvae-c7-20260321_070722/staged/public/val.csv",
+  "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c7/tvae/tvae-c7-20260321_070722/staged/public/test.csv",
+  "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c7/tvae/tvae-c7-20260321_070722/staged/public/staged_features.json",
+  "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c7/tvae/tvae-c7-20260321_070722/public_gate/public_gate_report.json",
+  "column_schema": [
+    {
+      "name": "parents",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 3,
+        "unique_ratio": 0.000289,
+        "example_values": [
+          "usual",
+          "pretentious",
+          "great_pret"
+        ]
+      }
+    },
+    {
+      "name": "has_nurs",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 5,
+        "unique_ratio": 0.000482,
+        "example_values": [
+          "very_crit",
+          "critical",
+          "improper",
+          "less_proper",
+          "proper"
+        ]
+      }
+    },
+    {
+      "name": "form",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 0.000386,
+        "example_values": [
+          "complete",
+          "completed",
+          "incomplete",
+          "foster"
+        ]
+      }
+    },
+    {
+      "name": "children",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 0.000386,
+        "example_values": [
+          "1",
+          "3",
+          "2",
+          "more"
+        ]
+      }
+    },
+    {
+      "name": "housing",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 3,
+        "unique_ratio": 0.000289,
+        "example_values": [
+          "less_conv",
+          "convenient",
+          "critical"
+        ]
+      }
+    },
+    {
+      "name": "finance",
+      "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": 0.000193,
+        "example_values": [
+          "convenient",
+          "inconv"
+        ]
+      }
+    },
+    {
+      "name": "social",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 3,
+        "unique_ratio": 0.000289,
+        "example_values": [
+          "slightly_prob",
+          "nonprob",
+          "problematic"
+        ]
+      }
+    },
+    {
+      "name": "health",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 3,
+        "unique_ratio": 0.000289,
+        "example_values": [
+          "recommended",
+          "priority",
+          "not_recom"
+        ]
+      }
+    },
+    {
+      "name": "class",
+      "role": "target",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 5,
+        "unique_ratio": 0.000482,
+        "example_values": [
+          "priority",
+          "spec_prior",
+          "not_recom",
+          "very_recom",
+          "recommend"
+        ]
+      }
+    }
+  ]
+}

SynthData0523/main/c7/tvae/tvae-c7-20260321_070722/runtime_result.json

@@ -0,0 +1,14 @@
+{
+  "dataset_id": "c7",
+  "model": "tvae",
+  "run_id": "tvae-c7-20260321_070722",
+  "public_gate_status": "pass",
+  "adapter_ready_status": "pass",
+  "train_status": "skipped",
+  "generate_status": "success",
+  "reason_code": null,
+  "reason_detail": null,
+  "artifacts": {
+    "synthetic_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c7/tvae/tvae-c7-20260321_070722/tvae-c7-10368-20260330_065302.csv"
+  }
+}

SynthData0523/main/c7/tvae/tvae-c7-20260321_070722/staged/public/staged_features.json

@@ -0,0 +1,47 @@
+[
+  {
+    "feature_name": "parents",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "has_nurs",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "form",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "children",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "housing",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "finance",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "social",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "health",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "class",
+    "data_type": "categorical",
+    "is_target": true
+  }
+]

SynthData0523/main/c7/tvae/tvae-c7-20260321_070722/staged/public/test.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2042076337d5c37c6476e6bca2bd33cb5a171450c27894534ef50ac223256058
+size 106030

SynthData0523/main/c7/tvae/tvae-c7-20260321_070722/staged/public/train.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b37f6b2ef5257f40bd826ac956749881f0f474362bdb56e8c5728ad629242e3a
+size 847349

SynthData0523/main/c7/tvae/tvae-c7-20260321_070722/staged/public/val.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:eff6dec27c3740661a1ae84dea391d690dfb60342bfd5d7527b903fdd6009780
+size 106192

SynthData0523/main/c7/tvae/tvae-c7-20260321_070722/staged/tvae/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/c7/tvae/tvae-c7-20260321_070722/staged/tvae/model_input_manifest.json"
+}

SynthData0523/main/c7/tvae/tvae-c7-20260321_070722/staged/tvae/adapter_transforms_applied.json

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

SynthData0523/main/c7/tvae/tvae-c7-20260321_070722/staged/tvae/model_input_manifest.json

@@ -0,0 +1,190 @@
+{
+  "dataset_id": "c7",
+  "model": "tvae",
+  "target_column": "class",
+  "task_type": "classification",
+  "column_schema": [
+    {
+      "name": "parents",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 3,
+        "unique_ratio": 0.000289,
+        "example_values": [
+          "usual",
+          "pretentious",
+          "great_pret"
+        ]
+      }
+    },
+    {
+      "name": "has_nurs",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 5,
+        "unique_ratio": 0.000482,
+        "example_values": [
+          "very_crit",
+          "critical",
+          "improper",
+          "less_proper",
+          "proper"
+        ]
+      }
+    },
+    {
+      "name": "form",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 0.000386,
+        "example_values": [
+          "complete",
+          "completed",
+          "incomplete",
+          "foster"
+        ]
+      }
+    },
+    {
+      "name": "children",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 0.000386,
+        "example_values": [
+          "1",
+          "3",
+          "2",
+          "more"
+        ]
+      }
+    },
+    {
+      "name": "housing",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 3,
+        "unique_ratio": 0.000289,
+        "example_values": [
+          "less_conv",
+          "convenient",
+          "critical"
+        ]
+      }
+    },
+    {
+      "name": "finance",
+      "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": 0.000193,
+        "example_values": [
+          "convenient",
+          "inconv"
+        ]
+      }
+    },
+    {
+      "name": "social",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 3,
+        "unique_ratio": 0.000289,
+        "example_values": [
+          "slightly_prob",
+          "nonprob",
+          "problematic"
+        ]
+      }
+    },
+    {
+      "name": "health",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 3,
+        "unique_ratio": 0.000289,
+        "example_values": [
+          "recommended",
+          "priority",
+          "not_recom"
+        ]
+      }
+    },
+    {
+      "name": "class",
+      "role": "target",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 5,
+        "unique_ratio": 0.000482,
+        "example_values": [
+          "priority",
+          "spec_prior",
+          "not_recom",
+          "very_recom",
+          "recommend"
+        ]
+      }
+    }
+  ],
+  "public_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c7/tvae/tvae-c7-20260321_070722/public_gate/staged_input_manifest.json",
+  "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c7/tvae/tvae-c7-20260321_070722/staged/public/train.csv",
+  "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c7/tvae/tvae-c7-20260321_070722/staged/public/val.csv",
+  "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c7/tvae/tvae-c7-20260321_070722/staged/public/test.csv",
+  "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c7/tvae/tvae-c7-20260321_070722/staged/public/staged_features.json",
+  "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c7/tvae/tvae-c7-20260321_070722/public_gate/public_gate_report.json"
+}

SynthData0523/main/c7/tvae/tvae-c7-20260321_070722/tvae-c7-1000-20260321_070932.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0d9efb5739b560819decece3bdf2cb5fc2493af67edea511f505ce5e933e9bde
+size 80871

SynthData0523/main/c7/tvae/tvae-c7-20260321_070722/tvae-c7-10368-20260330_065302.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2d2a011adc9777305c80d748baa944cec07b0c8098bf1bca32690ec6c0244424
+size 837902

SynthData0523/main/c7/tvae/tvae-c7-20260321_070722/tvae_metadata.json

@@ -0,0 +1,40 @@
+{
+  "columns": [
+    {
+      "name": "parents",
+      "type": "categorical"
+    },
+    {
+      "name": "has_nurs",
+      "type": "categorical"
+    },
+    {
+      "name": "form",
+      "type": "categorical"
+    },
+    {
+      "name": "children",
+      "type": "categorical"
+    },
+    {
+      "name": "housing",
+      "type": "categorical"
+    },
+    {
+      "name": "finance",
+      "type": "categorical"
+    },
+    {
+      "name": "social",
+      "type": "categorical"
+    },
+    {
+      "name": "health",
+      "type": "categorical"
+    },
+    {
+      "name": "class",
+      "type": "categorical"
+    }
+  ]
+}

SynthData0523/main/c7/tvae/tvae-c7-20260429_031938/_tvae_generate.py

@@ -0,0 +1,23 @@
+import os, sys
+sys.path.insert(0, "/work")
+from src.SpecificModels.ctgan_joblib_parallel_cap import apply_parallel_cap_from_env
+apply_parallel_cap_from_env()
+from src.SpecificModels.ctgan_rdt_inverse_fix import apply_ctgan_inverse_fix
+apply_ctgan_inverse_fix()
+import pandas as pd
+from ctgan.synthesizers.tvae import TVAE
+os.environ.setdefault("LOKY_MAX_CPU_COUNT", "8")
+os.environ.setdefault("OPENBLAS_NUM_THREADS", "8")
+os.environ.setdefault("MKL_NUM_THREADS", "8")
+model = TVAE.load("/work/output-Benchmark-trainonly-v1/c7/tvae/tvae-c7-20260429_031938/models_300epochs/tvae_300epochs.pt")
+total = 10368
+chunk = min(50000, total) if total > 50000 else total
+parts = []
+left = total
+while left > 0:
+    take = min(chunk, left)
+    parts.append(model.sample(take))
+    left -= take
+samples = pd.concat(parts, ignore_index=True) if len(parts) > 1 else parts[0]
+samples.to_csv("/work/output-Benchmark-trainonly-v1/c7/tvae/tvae-c7-20260429_031938/tvae-c7-10368-20260429_032040.csv", index=False)
+print(f"[TVAE] Generated {total} rows (chunks={len(parts)}) -> /work/output-Benchmark-trainonly-v1/c7/tvae/tvae-c7-20260429_031938/tvae-c7-10368-20260429_032040.csv")

SynthData0523/main/c7/tvae/tvae-c7-20260429_031938/_tvae_train.py

@@ -0,0 +1,30 @@
+import json, os, sys
+sys.path.insert(0, "/work")
+from src.SpecificModels.ctgan_joblib_parallel_cap import apply_parallel_cap_from_env
+apply_parallel_cap_from_env()
+import pandas as pd
+from ctgan.data import read_csv
+from ctgan.synthesizers.tvae import TVAE
+
+# Keep transform stage parallelism bounded for stability on shared host.
+os.environ.setdefault("LOKY_MAX_CPU_COUNT", "8")
+os.environ.setdefault("OPENBLAS_NUM_THREADS", "8")
+os.environ.setdefault("MKL_NUM_THREADS", "8")
+_nj = (os.environ.get("TVAE_CTGAN_JOBTRANS_N_JOBS") or "").strip()
+if _nj:
+    print("[TVAE] joblib Parallel cap ON, TVAE_CTGAN_JOBTRANS_N_JOBS=" + _nj)
+else:
+    print("[TVAE] joblib Parallel cap OFF (unset TVAE_CTGAN_JOBTRANS_N_JOBS)")
+print("[TVAE] LOKY_MAX_CPU_COUNT=" + str(os.environ.get("LOKY_MAX_CPU_COUNT", "")))
+
+csv_path = "/work/output-Benchmark-trainonly-v1/c7/tvae/tvae-c7-20260429_031938/staged/public/train.csv"
+meta_path = "/work/output-Benchmark-trainonly-v1/c7/tvae/tvae-c7-20260429_031938/tvae_metadata.json"
+save_path = "/work/output-Benchmark-trainonly-v1/c7/tvae/tvae-c7-20260429_031938/models_300epochs/tvae_300epochs.pt"
+epochs = 300
+
+data, discrete_columns = read_csv(csv_path, meta_path, header=True, discrete=None)
+print(f"[TVAE] Training on {len(data)} rows, {len(data.columns)} cols, epochs={epochs}")
+model = TVAE(epochs=epochs, batch_size=500)
+model.fit(data, discrete_columns)
+model.save(save_path)
+print(f"[TVAE] Model saved -> {save_path}")