Resume SynthData0523 main/c6 batch 20

.gitattributes

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 SynthData0523/main/c6/tabsyn/tabsyn-c6-20260420_233446/data/tabsyn_c6/y_train.npy filter=lfs diff=lfs merge=lfs -text
 SynthData0523/main/c6/tabsyn/tabsyn-c6-20260420_233446/gen_20260421_005324.log filter=lfs diff=lfs merge=lfs -text
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+SynthData0523/main/c6/tabsyn/tabsyn-c6-20260420_233446/train_20260420_233446.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c6/tvae/tvae-c6-20260419_191329/gen_20260419_191634.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c6/tvae/tvae-c6-20260419_191329/models_300epochs/train_20260419_191329.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c6/tvae/tvae-c6-20260419_191329/models_300epochs/tvae_300epochs.pt filter=lfs diff=lfs merge=lfs -text
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+SynthData0523/main/c6/tvae/tvae-c6-20260419_191329/staged/public/val.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c6/tvae/tvae-c6-20260419_191329/tvae-c6-7636-20260419_191634.csv filter=lfs diff=lfs merge=lfs -text

SynthData0523/main/c6/tabsyn/tabsyn-c6-20260420_233446/staged/public/staged_features.json

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+[
+  {
+    "feature_name": "Student ID",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "Student Country",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "Question ID",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "Type of Answer",
+    "data_type": "binary",
+    "is_target": true
+  },
+  {
+    "feature_name": "Question Level",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "Topic",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "Subtopic",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "Keywords",
+    "data_type": "categorical",
+    "is_target": false
+  }
+]

SynthData0523/main/c6/tabsyn/tabsyn-c6-20260420_233446/staged/public/test.csv

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SynthData0523/main/c6/tabsyn/tabsyn-c6-20260420_233446/staged/public/val.csv

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SynthData0523/main/c6/tabsyn/tabsyn-c6-20260420_233446/staged/tabsyn/adapter_report.json

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+{
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+  "adapter_fail_reason_code": null,
+  "adapter_fail_detail": null,
+  "adapter_transforms_applied": [],
+  "model_input_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c6/tabsyn/tabsyn-c6-20260420_233446/staged/tabsyn/model_input_manifest.json"
+}

SynthData0523/main/c6/tabsyn/tabsyn-c6-20260420_233446/staged/tabsyn/adapter_transforms_applied.json

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+[]

SynthData0523/main/c6/tabsyn/tabsyn-c6-20260420_233446/staged/tabsyn/model_input_manifest.json

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+{
+  "dataset_id": "c6",
+  "model": "tabsyn",
+  "target_column": "Type of Answer",
+  "task_type": "classification",
+  "column_schema": [
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+      "role": "feature",
+      "semantic_type": "numeric",
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+      "name": "Student Country",
+      "role": "feature",
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+      "impute_strategy": "mode",
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+        "unique_ratio": 0.001048,
+        "example_values": [
+          "Portugal",
+          "Italy",
+          "Lithuania",
+          "Slovenia",
+          "Ireland"
+        ]
+      }
+    },
+    {
+      "name": "Question ID",
+      "role": "feature",
+      "semantic_type": "numeric",
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+          "453",
+          "87",
+          "325"
+        ]
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+    },
+    {
+      "name": "Type of Answer",
+      "role": "target",
+      "semantic_type": "boolean",
+      "nullable": false,
+      "missing_tokens": [],
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+    {
+      "name": "Question Level",
+      "role": "feature",
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+          "Fundamental Mathematics",
+          "Linear Algebra",
+          "Real Functions of a single variable",
+          "Analytic Geometry"
+        ]
+      }
+    },
+    {
+      "name": "Subtopic",
+      "role": "feature",
+      "semantic_type": "text",
+      "nullable": false,
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+        "unique_ratio": 0.003143,
+        "example_values": [
+          "Complex Numbers",
+          "Algebraic expressions, Equations, and Inequalities",
+          "Vector Spaces",
+          "Limits and Continuity",
+          "Linear Transformations"
+        ]
+      }
+    },
+    {
+      "name": "Keywords",
+      "role": "feature",
+      "semantic_type": "text",
+      "nullable": false,
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+          "Logarithmic function,Exponential function,Simplify expressions",
+          "Linear independence,Span,Linear dependence",
+          "Indeterminate forms,Limits",
+          "Range,Kernel"
+        ]
+      }
+    }
+  ],
+  "public_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c6/tabsyn/tabsyn-c6-20260420_233446/public_gate/staged_input_manifest.json",
+  "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c6/tabsyn/tabsyn-c6-20260420_233446/staged/public/train.csv",
+  "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c6/tabsyn/tabsyn-c6-20260420_233446/staged/public/val.csv",
+  "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c6/tabsyn/tabsyn-c6-20260420_233446/staged/public/test.csv",
+  "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c6/tabsyn/tabsyn-c6-20260420_233446/staged/public/staged_features.json",
+  "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c6/tabsyn/tabsyn-c6-20260420_233446/public_gate/public_gate_report.json"
+}

SynthData0523/main/c6/tabsyn/tabsyn-c6-20260420_233446/synthetic/tabsyn_c6/real.csv

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SynthData0523/main/c6/tabsyn/tabsyn-c6-20260420_233446/synthetic/tabsyn_c6/test.csv

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SynthData0523/main/c6/tabsyn/tabsyn-c6-20260420_233446/tabsyn-c6-7636-20260421_005324.csv

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SynthData0523/main/c6/tabsyn/tabsyn-c6-20260420_233446/train_20260420_233446.log

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SynthData0523/main/c6/tvae/tvae-c6-20260419_191329/_tvae_generate.py

@@ -0,0 +1,18 @@
+import sys
+sys.path.insert(0, "/work")
+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
+model = TVAE.load("/work/output-SpecializedModels/c6/tvae/tvae-c6-20260419_191329/models_300epochs/tvae_300epochs.pt")
+total = 7636
+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-SpecializedModels/c6/tvae/tvae-c6-20260419_191329/tvae-c6-7636-20260419_191634.csv", index=False)
+print(f"[TVAE] Generated {total} rows (chunks={len(parts)}) -> /work/output-SpecializedModels/c6/tvae/tvae-c6-20260419_191329/tvae-c6-7636-20260419_191634.csv")

SynthData0523/main/c6/tvae/tvae-c6-20260419_191329/_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/c6/tvae/tvae-c6-20260419_191329/staged/public/train.csv"
+meta_path = "/work/output-SpecializedModels/c6/tvae/tvae-c6-20260419_191329/tvae_metadata.json"
+save_path = "/work/output-SpecializedModels/c6/tvae/tvae-c6-20260419_191329/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/c6/tvae/tvae-c6-20260419_191329/gen_20260419_191634.log

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SynthData0523/main/c6/tvae/tvae-c6-20260419_191329/input_snapshot.json

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+{
+  "dataset_id": "c6",
+  "model": "tvae",
+  "inputs": {
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+      "sha256": "70c4d3f4f544b9bff7543f502136d9b1403d8589ad5ef0a9695842d8ef9d5185"
+    },
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+      "sha256": "602750e8159221cf97836d44d530098411b5f2cd6fc47c06776171da79d06593"
+    }
+  }
+}

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SynthData0523/main/c6/tvae/tvae-c6-20260419_191329/models_300epochs/tvae_300epochs.pt

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+  "target_column": "Type of Answer",
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+    {
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+          "967",
+          "1557",
+          "394"
+        ]
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+          "Lithuania",
+          "Slovenia",
+          "Ireland"
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+          "Limits and Continuity",
+          "Linear Transformations"
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