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diff --git a/SynthData0523/main/c11/arf/arf-c11-20260321_113607/_arf_generate.py b/SynthData0523/main/c11/arf/arf-c11-20260321_113607/_arf_generate.py
new file mode 100644
index 0000000000000000000000000000000000000000..92f13058b19c77cf6c76408584da22b9d593fc50
--- /dev/null
+++ b/SynthData0523/main/c11/arf/arf-c11-20260321_113607/_arf_generate.py
@@ -0,0 +1,6 @@
+import pickle
+with open("/work/output-SpecializedModels/c11/arf/arf-c11-20260321_113607/arf_model.pkl", "rb") as f:
+    model = pickle.load(f)
+syn = model.forge(n=54045)
+syn.to_csv("/work/output-SpecializedModels/c11/arf/arf-c11-20260321_113607/arf-c11-54045-20260330_065348.csv", index=False)
+print(f"[ARF] Generated 54045 rows -> /work/output-SpecializedModels/c11/arf/arf-c11-20260321_113607/arf-c11-54045-20260330_065348.csv")
diff --git a/SynthData0523/main/c11/arf/arf-c11-20260321_113607/_arf_train.py b/SynthData0523/main/c11/arf/arf-c11-20260321_113607/_arf_train.py
new file mode 100644
index 0000000000000000000000000000000000000000..c7941d70b4f4f1ea2567e16abe54338e395e798a
--- /dev/null
+++ b/SynthData0523/main/c11/arf/arf-c11-20260321_113607/_arf_train.py
@@ -0,0 +1,19 @@
+import pickle
+import pandas as pd
+from arfpy import arf
+
+df = pd.read_csv("/work/output-SpecializedModels/c11/arf/arf-c11-20260321_113607/staged/public/train.csv")
+df = df.dropna(axis=1, how="all")
+print(f"[ARF] Training on {len(df)} rows, {len(df.columns)} cols")
+
+model = arf.arf(x=df)
+if hasattr(model, "fit"):
+    model.fit()
+elif hasattr(model, "forde"):
+    model.forde()
+else:
+    raise RuntimeError("arfpy API: no fit() / forde()")
+
+with open("/work/output-SpecializedModels/c11/arf/arf-c11-20260321_113607/arf_model.pkl", "wb") as f:
+    pickle.dump(model, f)
+print(f"[ARF] Model saved -> /work/output-SpecializedModels/c11/arf/arf-c11-20260321_113607/arf_model.pkl")
diff --git a/SynthData0523/main/c11/arf/arf-c11-20260321_113607/arf-c11-1000-20260321_133718.csv b/SynthData0523/main/c11/arf/arf-c11-20260321_113607/arf-c11-1000-20260321_133718.csv
new file mode 100644
index 0000000000000000000000000000000000000000..235287f62bcc108fb610b2692af34c263b651236
--- /dev/null
+++ b/SynthData0523/main/c11/arf/arf-c11-20260321_113607/arf-c11-1000-20260321_133718.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ee5f2650e35aa9c72c5d179097fa5b64ef1890ad0bb2ee1ccd43555cb3999548
+size 88469
diff --git a/SynthData0523/main/c11/arf/arf-c11-20260321_113607/arf-c11-54045-20260330_065348.csv b/SynthData0523/main/c11/arf/arf-c11-20260321_113607/arf-c11-54045-20260330_065348.csv
new file mode 100644
index 0000000000000000000000000000000000000000..8f802d84c8a6ef8f797df7cb285a62ccc3fafe18
--- /dev/null
+++ b/SynthData0523/main/c11/arf/arf-c11-20260321_113607/arf-c11-54045-20260330_065348.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ea1153b4c6e189d873d66547bf2076361d5001802078153b99ec9300bd7f1f4c
+size 4774522
diff --git a/SynthData0523/main/c11/arf/arf-c11-20260321_113607/arf_model.pkl b/SynthData0523/main/c11/arf/arf-c11-20260321_113607/arf_model.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..54838765bdde5dcc066e9e378191ff7ae6463432
--- /dev/null
+++ b/SynthData0523/main/c11/arf/arf-c11-20260321_113607/arf_model.pkl
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6f471ae585400f0cf30871d50d812fd070744ffe873ff1af9fad8d9dc263da59
+size 589950299
diff --git a/SynthData0523/main/c11/arf/arf-c11-20260321_113607/gen_20260321_133718.log b/SynthData0523/main/c11/arf/arf-c11-20260321_113607/gen_20260321_133718.log
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--- /dev/null
+++ b/SynthData0523/main/c11/arf/arf-c11-20260321_113607/gen_20260321_133718.log
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+version https://git-lfs.github.com/spec/v1
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+size 13713
diff --git a/SynthData0523/main/c11/arf/arf-c11-20260321_113607/gen_20260330_065348.log b/SynthData0523/main/c11/arf/arf-c11-20260321_113607/gen_20260330_065348.log
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--- /dev/null
+++ b/SynthData0523/main/c11/arf/arf-c11-20260321_113607/gen_20260330_065348.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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+size 13715
diff --git a/SynthData0523/main/c11/arf/arf-c11-20260321_113607/input_snapshot.json b/SynthData0523/main/c11/arf/arf-c11-20260321_113607/input_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..058ddd475633f02d8f8f9183c6101d22ba9b9915
--- /dev/null
+++ b/SynthData0523/main/c11/arf/arf-c11-20260321_113607/input_snapshot.json
@@ -0,0 +1,36 @@
+{
+  "dataset_id": "c11",
+  "model": "arf",
+  "inputs": {
+    "train_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c11/c11-train.csv",
+      "exists": true,
+      "size": 4828646,
+      "sha256": "bed2dabdf7082070f69164cbe9701e2e93753c20bafd0386a63a2208f46dbd4b"
+    },
+    "val_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c11/c11-val.csv",
+      "exists": true,
+      "size": 603585,
+      "sha256": "43bf4a406d9ad580d8bddff90f9649eaf909bff3e95a94a59b4ac70695fbf57a"
+    },
+    "test_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c11/c11-test.csv",
+      "exists": true,
+      "size": 603825,
+      "sha256": "585bd7e31b07354186f2dd38fedec7b8d4a88d1a2909db7e54be7b572f7e0e91"
+    },
+    "profile_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c11/c11-dataset_profile.json",
+      "exists": true,
+      "size": 13793,
+      "sha256": "511531728c8d5902b1edf2b7fcc5eae14d6af6749296089501b93202c182d693"
+    },
+    "contract_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c11/c11-dataset_contract_v1.json",
+      "exists": true,
+      "size": 18508,
+      "sha256": "640ed9b37d9083ca08a678117325282f1c73b57a0ada8df5eff2c15395c260a0"
+    }
+  }
+}
\ No newline at end of file
diff --git a/SynthData0523/main/c11/arf/arf-c11-20260321_113607/public_gate/normalized_schema_snapshot.json b/SynthData0523/main/c11/arf/arf-c11-20260321_113607/public_gate/normalized_schema_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..5f48f33959b81f6fdf48ccad6b47dbb1e5faf9f1
--- /dev/null
+++ b/SynthData0523/main/c11/arf/arf-c11-20260321_113607/public_gate/normalized_schema_snapshot.json
@@ -0,0 +1,824 @@
+{
+  "dataset_id": "c11",
+  "target_column": "class",
+  "task_type": "classification",
+  "columns": [
+    {
+      "name": "a1",
+      "role": "feature",
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+        "unique_ratio": 5.6e-05,
+        "example_values": [
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+        ]
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+        ]
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+    },
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+        ]
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+        ]
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+    },
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+        ]
+      }
+    },
+    {
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+        ]
+      }
+    },
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+        "example_values": [
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+        ]
+      }
+    },
+    {
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diff --git a/SynthData0523/main/c11/arf/arf-c11-20260321_113607/public_gate/public_gate_report.json b/SynthData0523/main/c11/arf/arf-c11-20260321_113607/public_gate/public_gate_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..0858d4230e72167e5c576be9ed3e14cad9a160c3
--- /dev/null
+++ b/SynthData0523/main/c11/arf/arf-c11-20260321_113607/public_gate/public_gate_report.json
@@ -0,0 +1,37 @@
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\ No newline at end of file
diff --git a/SynthData0523/main/c11/arf/arf-c11-20260321_113607/public_gate/staged_input_manifest.json b/SynthData0523/main/c11/arf/arf-c11-20260321_113607/public_gate/staged_input_manifest.json
new file mode 100644
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+++ b/SynthData0523/main/c11/arf/arf-c11-20260321_113607/public_gate/staged_input_manifest.json
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new file mode 100644
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--- /dev/null
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@@ -0,0 +1,14 @@
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\ No newline at end of file
diff --git a/SynthData0523/main/c11/arf/arf-c11-20260321_113607/staged/arf/adapter_report.json b/SynthData0523/main/c11/arf/arf-c11-20260321_113607/staged/arf/adapter_report.json
new file mode 100644
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@@ -0,0 +1,7 @@
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\ No newline at end of file
diff --git a/SynthData0523/main/c11/arf/arf-c11-20260321_113607/staged/arf/adapter_transforms_applied.json b/SynthData0523/main/c11/arf/arf-c11-20260321_113607/staged/arf/adapter_transforms_applied.json
new file mode 100644
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\ No newline at end of file
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new file mode 100644
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+}
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diff --git a/SynthData0523/main/c11/arf/arf-c11-20260321_113607/staged/public/staged_features.json b/SynthData0523/main/c11/arf/arf-c11-20260321_113607/staged/public/staged_features.json
new file mode 100644
index 0000000000000000000000000000000000000000..4d689892859c0a81ae155bb01ac4df3f68477792
--- /dev/null
+++ b/SynthData0523/main/c11/arf/arf-c11-20260321_113607/staged/public/staged_features.json
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+    "data_type": "categorical",
+    "is_target": false
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+    "feature_name": "b6",
+    "data_type": "categorical",
+    "is_target": false
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+    "feature_name": "c1",
+    "data_type": "categorical",
+    "is_target": false
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+  {
+    "feature_name": "c2",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "c3",
+    "data_type": "categorical",
+    "is_target": false
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+    "feature_name": "c4",
+    "data_type": "categorical",
+    "is_target": false
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+    "feature_name": "c5",
+    "data_type": "categorical",
+    "is_target": false
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+    "feature_name": "c6",
+    "data_type": "categorical",
+    "is_target": false
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+  {
+    "feature_name": "d1",
+    "data_type": "categorical",
+    "is_target": false
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+    "data_type": "categorical",
+    "is_target": false
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+    "data_type": "categorical",
+    "is_target": false
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+    "data_type": "categorical",
+    "is_target": false
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+    "data_type": "categorical",
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+    "data_type": "categorical",
+    "is_target": false
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+    "data_type": "categorical",
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+    "data_type": "categorical",
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+    "data_type": "categorical",
+    "is_target": false
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+    "data_type": "categorical",
+    "is_target": false
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+    "data_type": "categorical",
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+    "data_type": "categorical",
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+    "data_type": "categorical",
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+    "data_type": "categorical",
+    "is_target": false
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+    "data_type": "categorical",
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+    "data_type": "categorical",
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+    "data_type": "categorical",
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+  {
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diff --git a/SynthData0523/main/c11/arf/arf-c11-20260321_113607/staged/public/test.csv b/SynthData0523/main/c11/arf/arf-c11-20260321_113607/staged/public/test.csv
new file mode 100644
index 0000000000000000000000000000000000000000..8d34486881117a087e6d5d190091800d195ef8a4
--- /dev/null
+++ b/SynthData0523/main/c11/arf/arf-c11-20260321_113607/staged/public/test.csv
@@ -0,0 +1,3 @@
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diff --git a/SynthData0523/main/c11/arf/arf-c11-20260321_113607/staged/public/train.csv b/SynthData0523/main/c11/arf/arf-c11-20260321_113607/staged/public/train.csv
new file mode 100644
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--- /dev/null
+++ b/SynthData0523/main/c11/arf/arf-c11-20260321_113607/staged/public/train.csv
@@ -0,0 +1,3 @@
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diff --git a/SynthData0523/main/c11/arf/arf-c11-20260321_113607/staged/public/val.csv b/SynthData0523/main/c11/arf/arf-c11-20260321_113607/staged/public/val.csv
new file mode 100644
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--- /dev/null
+++ b/SynthData0523/main/c11/arf/arf-c11-20260321_113607/staged/public/val.csv
@@ -0,0 +1,3 @@
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diff --git a/SynthData0523/main/c11/arf/arf-c11-20260321_113607/train_20260321_113609.log b/SynthData0523/main/c11/arf/arf-c11-20260321_113607/train_20260321_113609.log
new file mode 100644
index 0000000000000000000000000000000000000000..80e53a09cd37dbc9888070b5fa2331deb867abc2
--- /dev/null
+++ b/SynthData0523/main/c11/arf/arf-c11-20260321_113607/train_20260321_113609.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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+size 742
diff --git a/SynthData0523/main/c11/bayesnet/bayesnet-c11-20260321_062357/_bayesnet_generate.py b/SynthData0523/main/c11/bayesnet/bayesnet-c11-20260321_062357/_bayesnet_generate.py
new file mode 100644
index 0000000000000000000000000000000000000000..a1405fae48c00eda30a7e1ddeaa076fa740c577b
--- /dev/null
+++ b/SynthData0523/main/c11/bayesnet/bayesnet-c11-20260321_062357/_bayesnet_generate.py
@@ -0,0 +1,43 @@
+import subprocess, sys, os
+
+pip_libs = "/pip_libs"
+sys.path.insert(0, pip_libs)
+os.environ["PYTHONPATH"] = pip_libs + os.pathsep + os.environ.get("PYTHONPATH", "")
+
+def _ensure_deps():
+    try:
+        import synthcity
+    except ModuleNotFoundError:
+        print("[BayesNet] synthcity not found - installing to cache...")
+        subprocess.run(
+            [sys.executable, "-m", "pip", "install",
+             "--target", pip_libs, "synthcity==0.2.12", "numpy<2", "-q"],
+            check=True
+        )
+        import shutil, glob
+        for pat in ["torch", "torch-*", "torchvision", "torchvision-*",
+                    "torchvision.libs", "torchgen", "nvidia*", "triton*"]:
+            for p in glob.glob(os.path.join(pip_libs, pat)):
+                if os.path.isdir(p): shutil.rmtree(p)
+                else: os.remove(p)
+        if pip_libs not in sys.path:
+            sys.path.insert(0, pip_libs)
+
+_ensure_deps()
+
+import pickle, json as _json
+with open("/work/output-SpecializedModels/c11/bayesnet/bayesnet-c11-20260321_062357/bayesnet_model.pkl", "rb") as f:
+    plugin = pickle.load(f)
+syn = plugin.generate(count=54045).dataframe()
+
+# Restore zero-variance columns that were dropped during training
+const_path = "/work/output-SpecializedModels/c11/bayesnet/bayesnet-c11-20260321_062357/bayesnet_model.pkl".replace("bayesnet_model.pkl", "const_cols.json")
+if os.path.exists(const_path):
+    with open(const_path) as _f:
+        const_cols = _json.load(_f)
+    for col, val in const_cols.items():
+        syn[col] = val
+        print(f"[BayesNet] Restored constant column '{col}' = {val}")
+
+syn.to_csv("/work/output-SpecializedModels/c11/bayesnet/bayesnet-c11-20260321_062357/bayesnet-c11-54045-20260330_065348.csv", index=False)
+print(f"[BayesNet] Generated 54045 rows -> /work/output-SpecializedModels/c11/bayesnet/bayesnet-c11-20260321_062357/bayesnet-c11-54045-20260330_065348.csv")
diff --git a/SynthData0523/main/c11/bayesnet/bayesnet-c11-20260321_062357/_bayesnet_train.py b/SynthData0523/main/c11/bayesnet/bayesnet-c11-20260321_062357/_bayesnet_train.py
new file mode 100644
index 0000000000000000000000000000000000000000..7905d9bdf6ecfe2262a79badd090a1881e3e6ad5
--- /dev/null
+++ b/SynthData0523/main/c11/bayesnet/bayesnet-c11-20260321_062357/_bayesnet_train.py
@@ -0,0 +1,62 @@
+import subprocess, sys, os
+
+pip_libs = "/pip_libs"
+sys.path.insert(0, pip_libs)
+os.environ["PYTHONPATH"] = pip_libs + os.pathsep + os.environ.get("PYTHONPATH", "")
+
+def _ensure_deps():
+    try:
+        import synthcity
+    except ModuleNotFoundError:
+        print("[BayesNet] synthcity not found - installing to cache (first run, may take minutes)...")
+        # Install synthcity with numpy<2 to avoid conflicts
+        subprocess.run(
+            [sys.executable, "-m", "pip", "install",
+             "--target", pip_libs, "synthcity==0.2.12", "numpy<2", "-q"],
+            check=True
+        )
+        # Remove torch/torchvision from pip_libs to avoid shadowing system versions
+        import shutil, glob
+        for pat in ["torch", "torch-*", "torchvision", "torchvision-*",
+                    "torchvision.libs", "torchgen", "nvidia*", "triton*"]:
+            for p in glob.glob(os.path.join(pip_libs, pat)):
+                if os.path.isdir(p): shutil.rmtree(p)
+                else: os.remove(p)
+        if pip_libs not in sys.path:
+            sys.path.insert(0, pip_libs)
+
+_ensure_deps()
+
+from synthcity.plugins import Plugins
+import pickle
+import pandas as pd
+from synthcity.plugins.core.dataloader import GenericDataLoader
+
+df = pd.read_csv("/work/output-SpecializedModels/c11/bayesnet/bayesnet-c11-20260321_062357/staged/public/train.csv")
+df = df.dropna(axis=1, how="all")
+
+# Drop zero-variance columns (only 1 unique value) to avoid
+# synthcity encoder KeyError during generation
+import json as _json
+const_cols = {}
+for col in list(df.columns):
+    nuniq = df[col].nunique()
+    if nuniq <= 1:
+        const_cols[col] = df[col].iloc[0] if len(df) > 0 else None
+        df = df.drop(columns=[col])
+        print(f"[BayesNet] Dropped zero-variance column '{col}' (value={const_cols[col]})")
+
+# Save constant columns info so generate can restore them
+const_path = "/work/output-SpecializedModels/c11/bayesnet/bayesnet-c11-20260321_062357/bayesnet_model.pkl".replace("bayesnet_model.pkl", "const_cols.json")
+with open(const_path, "w") as _f:
+    _json.dump({k: str(v) for k, v in const_cols.items()}, _f)
+
+print(f"[BayesNet] Training on {len(df)} rows, {len(df.columns)} cols")
+
+loader = GenericDataLoader(df)
+plugin = Plugins().get("bayesian_network")
+plugin.fit(loader)
+
+with open("/work/output-SpecializedModels/c11/bayesnet/bayesnet-c11-20260321_062357/bayesnet_model.pkl", "wb") as f:
+    pickle.dump(plugin, f)
+print(f"[BayesNet] Model saved -> /work/output-SpecializedModels/c11/bayesnet/bayesnet-c11-20260321_062357/bayesnet_model.pkl")
diff --git a/SynthData0523/main/c11/bayesnet/bayesnet-c11-20260321_062357/bayesnet-c11-1000-20260321_062451.csv b/SynthData0523/main/c11/bayesnet/bayesnet-c11-20260321_062357/bayesnet-c11-1000-20260321_062451.csv
new file mode 100644
index 0000000000000000000000000000000000000000..c68c12dcd12f455a9203475bb2c6dc2004f05df1
--- /dev/null
+++ b/SynthData0523/main/c11/bayesnet/bayesnet-c11-20260321_062357/bayesnet-c11-1000-20260321_062451.csv
@@ -0,0 +1,3 @@
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diff --git a/SynthData0523/main/c11/bayesnet/bayesnet-c11-20260321_062357/bayesnet-c11-54045-20260330_065348.csv b/SynthData0523/main/c11/bayesnet/bayesnet-c11-20260321_062357/bayesnet-c11-54045-20260330_065348.csv
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@@ -0,0 +1,3 @@
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diff --git a/SynthData0523/main/c11/bayesnet/bayesnet-c11-20260321_062357/bayesnet_model.pkl b/SynthData0523/main/c11/bayesnet/bayesnet-c11-20260321_062357/bayesnet_model.pkl
new file mode 100644
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--- /dev/null
+++ b/SynthData0523/main/c11/bayesnet/bayesnet-c11-20260321_062357/bayesnet_model.pkl
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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--- /dev/null
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@@ -0,0 +1 @@
+{}
\ No newline at end of file
diff --git a/SynthData0523/main/c11/bayesnet/bayesnet-c11-20260321_062357/gen_20260321_062451.log b/SynthData0523/main/c11/bayesnet/bayesnet-c11-20260321_062357/gen_20260321_062451.log
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diff --git a/SynthData0523/main/c11/bayesnet/bayesnet-c11-20260321_062357/gen_20260330_065348.log b/SynthData0523/main/c11/bayesnet/bayesnet-c11-20260321_062357/gen_20260330_065348.log
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diff --git a/SynthData0523/main/c11/bayesnet/bayesnet-c11-20260321_062357/input_snapshot.json b/SynthData0523/main/c11/bayesnet/bayesnet-c11-20260321_062357/input_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..da631160e948584b84329fc90bbf36ebbe7fcb9a
--- /dev/null
+++ b/SynthData0523/main/c11/bayesnet/bayesnet-c11-20260321_062357/input_snapshot.json
@@ -0,0 +1,36 @@
+{
+  "dataset_id": "c11",
+  "model": "bayesnet",
+  "inputs": {
+    "train_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c11/c11-train.csv",
+      "exists": true,
+      "size": 4828646,
+      "sha256": "bed2dabdf7082070f69164cbe9701e2e93753c20bafd0386a63a2208f46dbd4b"
+    },
+    "val_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c11/c11-val.csv",
+      "exists": true,
+      "size": 603585,
+      "sha256": "43bf4a406d9ad580d8bddff90f9649eaf909bff3e95a94a59b4ac70695fbf57a"
+    },
+    "test_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c11/c11-test.csv",
+      "exists": true,
+      "size": 603825,
+      "sha256": "585bd7e31b07354186f2dd38fedec7b8d4a88d1a2909db7e54be7b572f7e0e91"
+    },
+    "profile_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c11/c11-dataset_profile.json",
+      "exists": true,
+      "size": 13793,
+      "sha256": "511531728c8d5902b1edf2b7fcc5eae14d6af6749296089501b93202c182d693"
+    },
+    "contract_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c11/c11-dataset_contract_v1.json",
+      "exists": true,
+      "size": 18508,
+      "sha256": "640ed9b37d9083ca08a678117325282f1c73b57a0ada8df5eff2c15395c260a0"
+    }
+  }
+}
\ No newline at end of file
diff --git a/SynthData0523/main/c11/bayesnet/bayesnet-c11-20260321_062357/public_gate/normalized_schema_snapshot.json b/SynthData0523/main/c11/bayesnet/bayesnet-c11-20260321_062357/public_gate/normalized_schema_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..5f48f33959b81f6fdf48ccad6b47dbb1e5faf9f1
--- /dev/null
+++ b/SynthData0523/main/c11/bayesnet/bayesnet-c11-20260321_062357/public_gate/normalized_schema_snapshot.json
@@ -0,0 +1,824 @@
+{
+  "dataset_id": "c11",
+  "target_column": "class",
+  "task_type": "classification",
+  "columns": [
+    {
+      "name": "a1",
+      "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": 5.6e-05,
+        "example_values": [
+          "b",
+          "o",
+          "x"
+        ]
+      }
+    },
+    {
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+      "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": 5.6e-05,
+        "example_values": [
+          "b",
+          "x",
+          "o"
+        ]
+      }
+    },
+    {
+      "name": "a3",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
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+        "unique_ratio": 5.6e-05,
+        "example_values": [
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diff --git a/SynthData0523/main/c11/bayesnet/bayesnet-c11-20260321_062357/public_gate/public_gate_report.json b/SynthData0523/main/c11/bayesnet/bayesnet-c11-20260321_062357/public_gate/public_gate_report.json
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\ No newline at end of file
diff --git a/SynthData0523/main/c11/bayesnet/bayesnet-c11-20260321_062357/public_gate/staged_input_manifest.json b/SynthData0523/main/c11/bayesnet/bayesnet-c11-20260321_062357/public_gate/staged_input_manifest.json
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+        "unique_count": 3,
+        "unique_ratio": 5.6e-05,
+        "example_values": [
+          "b",
+          "x",
+          "o"
+        ]
+      }
+    },
+    {
+      "name": "f5",
+      "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": 5.6e-05,
+        "example_values": [
+          "b",
+          "o",
+          "x"
+        ]
+      }
+    },
+    {
+      "name": "f6",
+      "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": 5.6e-05,
+        "example_values": [
+          "b",
+          "o",
+          "x"
+        ]
+      }
+    },
+    {
+      "name": "g1",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
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+        "example_values": [
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+          "o",
+          "x"
+        ]
+      }
+    },
+    {
+      "name": "g2",
+      "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": 5.6e-05,
+        "example_values": [
+          "b",
+          "o",
+          "x"
+        ]
+      }
+    },
+    {
+      "name": "g3",
+      "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": 5.6e-05,
+        "example_values": [
+          "b",
+          "o",
+          "x"
+        ]
+      }
+    },
+    {
+      "name": "g4",
+      "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": 5.6e-05,
+        "example_values": [
+          "b",
+          "o",
+          "x"
+        ]
+      }
+    },
+    {
+      "name": "g5",
+      "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": 5.6e-05,
+        "example_values": [
+          "b",
+          "o",
+          "x"
+        ]
+      }
+    },
+    {
+      "name": "g6",
+      "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": 5.6e-05,
+        "example_values": [
+          "b",
+          "o",
+          "x"
+        ]
+      }
+    },
+    {
+      "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": 3,
+        "unique_ratio": 5.6e-05,
+        "example_values": [
+          "win",
+          "loss",
+          "draw"
+        ]
+      }
+    }
+  ],
+  "public_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c11/ctgan/ctgan-c11-20260321_182415/public_gate/staged_input_manifest.json",
+  "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c11/ctgan/ctgan-c11-20260321_182415/staged/public/train.csv",
+  "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c11/ctgan/ctgan-c11-20260321_182415/staged/public/val.csv",
+  "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c11/ctgan/ctgan-c11-20260321_182415/staged/public/test.csv",
+  "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c11/ctgan/ctgan-c11-20260321_182415/staged/public/staged_features.json",
+  "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c11/ctgan/ctgan-c11-20260321_182415/public_gate/public_gate_report.json"
+}
\ No newline at end of file
diff --git a/SynthData0523/main/c11/ctgan/ctgan-c11-20260321_182415/staged/public/staged_features.json b/SynthData0523/main/c11/ctgan/ctgan-c11-20260321_182415/staged/public/staged_features.json
new file mode 100644
index 0000000000000000000000000000000000000000..4d689892859c0a81ae155bb01ac4df3f68477792
--- /dev/null
+++ b/SynthData0523/main/c11/ctgan/ctgan-c11-20260321_182415/staged/public/staged_features.json
@@ -0,0 +1,217 @@
+[
+  {
+    "feature_name": "a1",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "a2",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "a3",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "a4",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "a5",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "a6",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "b1",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "b2",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "b3",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "b4",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "b5",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "b6",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "c1",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "c2",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "c3",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "c4",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "c5",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "c6",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "d1",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "d2",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "d3",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "d4",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "d5",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "d6",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "e1",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "e2",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "e3",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "e4",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "e5",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "e6",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "f1",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "f2",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "f3",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "f4",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "f5",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "f6",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "g1",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "g2",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "g3",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "g4",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "g5",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "g6",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "class",
+    "data_type": "categorical",
+    "is_target": true
+  }
+]
\ No newline at end of file
diff --git a/SynthData0523/main/c11/ctgan/ctgan-c11-20260321_182415/staged/public/test.csv b/SynthData0523/main/c11/ctgan/ctgan-c11-20260321_182415/staged/public/test.csv
new file mode 100644
index 0000000000000000000000000000000000000000..8d34486881117a087e6d5d190091800d195ef8a4
--- /dev/null
+++ b/SynthData0523/main/c11/ctgan/ctgan-c11-20260321_182415/staged/public/test.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7bf013e6809cd2d7d0606cff7ce2daca4b4bdc9683262cfe5458a5d06c8efe15
+size 597067
diff --git a/SynthData0523/main/c11/ctgan/ctgan-c11-20260321_182415/staged/public/train.csv b/SynthData0523/main/c11/ctgan/ctgan-c11-20260321_182415/staged/public/train.csv
new file mode 100644
index 0000000000000000000000000000000000000000..9c599d92553cdb5ef3462816e5a856c1fea3be78
--- /dev/null
+++ b/SynthData0523/main/c11/ctgan/ctgan-c11-20260321_182415/staged/public/train.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ea5c56f8337b738f6f4c8fd78647834cf1947072fd207f1a6c3e78453f49e66a
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diff --git a/SynthData0523/main/c11/ctgan/ctgan-c11-20260321_182415/staged/public/val.csv b/SynthData0523/main/c11/ctgan/ctgan-c11-20260321_182415/staged/public/val.csv
new file mode 100644
index 0000000000000000000000000000000000000000..214671ddc640d533cfcc7ff8f8bfa8f39b9d792b
--- /dev/null
+++ b/SynthData0523/main/c11/ctgan/ctgan-c11-20260321_182415/staged/public/val.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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+size 596829
diff --git a/SynthData0523/main/c11/forestdiffusion/forest-c11-20260430_065415/_fd_X_host.npy b/SynthData0523/main/c11/forestdiffusion/forest-c11-20260430_065415/_fd_X_host.npy
new file mode 100644
index 0000000000000000000000000000000000000000..792edb324ef226461eac10ff1724ea31945170cf
--- /dev/null
+++ b/SynthData0523/main/c11/forestdiffusion/forest-c11-20260430_065415/_fd_X_host.npy
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9f2f4a359c120b7c69a9fd6b7d5dafb29660c3e9f050c52bb353f0c8274c959d
+size 9295868
diff --git a/SynthData0523/main/c11/forestdiffusion/forest-c11-20260430_065415/_fd_gen.py b/SynthData0523/main/c11/forestdiffusion/forest-c11-20260430_065415/_fd_gen.py
new file mode 100644
index 0000000000000000000000000000000000000000..1dc25dbc2daa7b857ddf2fa94f90ba3034ba0d28
--- /dev/null
+++ b/SynthData0523/main/c11/forestdiffusion/forest-c11-20260430_065415/_fd_gen.py
@@ -0,0 +1,8 @@
+
+import joblib, pandas as pd
+m, meta = joblib.load(r'/work/output-Benchmark-trainonly-v1/c11/forestdiffusion/forest-c11-20260430_065415/forestdiffusion_model.joblib')
+# generate：batch_size 为样本数
+arr = m.generate(batch_size=int(54045))
+df = pd.DataFrame(arr, columns=meta["column_names"])
+df.to_csv(r'/work/output-Benchmark-trainonly-v1/c11/forestdiffusion/forest-c11-20260430_065415/forest-c11-54045-20260430_072502.csv', index=False)
+print("saved", len(df))
diff --git a/SynthData0523/main/c11/forestdiffusion/forest-c11-20260430_065415/_fd_meta_host.json b/SynthData0523/main/c11/forestdiffusion/forest-c11-20260430_065415/_fd_meta_host.json
new file mode 100644
index 0000000000000000000000000000000000000000..518f8092b75409597f73c417d2f83b3c75ea4eea
--- /dev/null
+++ b/SynthData0523/main/c11/forestdiffusion/forest-c11-20260430_065415/_fd_meta_host.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c943a9b6f080e33ad72dd3b85ce8f99cc1aa86b0b9db929e7a475a5301a09c24
+size 454
diff --git a/SynthData0523/main/c11/forestdiffusion/forest-c11-20260430_065415/_fd_train.py b/SynthData0523/main/c11/forestdiffusion/forest-c11-20260430_065415/_fd_train.py
new file mode 100644
index 0000000000000000000000000000000000000000..d161382d7414a0543ab75cad119787893b6a9d63
--- /dev/null
+++ b/SynthData0523/main/c11/forestdiffusion/forest-c11-20260430_065415/_fd_train.py
@@ -0,0 +1,28 @@
+
+import shutil, json
+shutil.copy(r'/work/output-Benchmark-trainonly-v1/c11/forestdiffusion/forest-c11-20260430_065415/_fd_X_host.npy', '/tmp/fd_X.npy')
+with open(r'/work/output-Benchmark-trainonly-v1/c11/forestdiffusion/forest-c11-20260430_065415/_fd_meta_host.json') as f:
+    open('/tmp/fd_meta.json','w').write(f.read())
+
+import numpy as np, joblib, json, os
+from ForestDiffusion import ForestDiffusionModel
+X = np.load("/tmp/fd_X.npy")
+with open("/tmp/fd_meta.json") as f:
+    meta = json.load(f)
+cat_indexes = meta["cat_indexes"]
+print(
+    "[ForestDiffusion] train config: "
+    f"rows={X.shape[0]} cols={X.shape[1]} n_t=20 "
+    f"n_estimators=100 duplicate_K=20 n_jobs=2 "
+    f"xgb_verbosity=1",
+    flush=True,
+)
+m = ForestDiffusionModel(
+    X, n_t=20, n_estimators=100, duplicate_K=20, n_jobs=2,
+    model="xgboost", max_depth=6, tree_method="hist", cat_indexes=cat_indexes,
+    verbosity=1,
+)
+joblib.dump((m, meta), "/tmp/fd_model.joblib")
+print("ForestDiffusion train OK")
+
+shutil.copy('/tmp/fd_model.joblib', r'/work/output-Benchmark-trainonly-v1/c11/forestdiffusion/forest-c11-20260430_065415/forestdiffusion_model.joblib')
diff --git a/SynthData0523/main/c11/forestdiffusion/forest-c11-20260430_065415/forest-c11-54045-20260430_072502.csv b/SynthData0523/main/c11/forestdiffusion/forest-c11-20260430_065415/forest-c11-54045-20260430_072502.csv
new file mode 100644
index 0000000000000000000000000000000000000000..66af0a7dfadade53cd89a7206f607282d82fcc4b
--- /dev/null
+++ b/SynthData0523/main/c11/forestdiffusion/forest-c11-20260430_065415/forest-c11-54045-20260430_072502.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bdf212395ecd2154916259c94147a421003bab0cb5345d4ca20a723e52394f2f
+size 4774233
diff --git a/SynthData0523/main/c11/forestdiffusion/forest-c11-20260430_065415/forestdiffusion_model.joblib b/SynthData0523/main/c11/forestdiffusion/forest-c11-20260430_065415/forestdiffusion_model.joblib
new file mode 100644
index 0000000000000000000000000000000000000000..767cc692eb0192fb8f14f83887285e8d66e44652
--- /dev/null
+++ b/SynthData0523/main/c11/forestdiffusion/forest-c11-20260430_065415/forestdiffusion_model.joblib
@@ -0,0 +1,3 @@
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diff --git a/SynthData0523/main/c11/forestdiffusion/forest-c11-20260430_065415/gen_20260430_072502.log b/SynthData0523/main/c11/forestdiffusion/forest-c11-20260430_065415/gen_20260430_072502.log
new file mode 100644
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+++ b/SynthData0523/main/c11/forestdiffusion/forest-c11-20260430_065415/gen_20260430_072502.log
@@ -0,0 +1,3 @@
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diff --git a/SynthData0523/main/c11/forestdiffusion/forest-c11-20260430_065415/input_snapshot.json b/SynthData0523/main/c11/forestdiffusion/forest-c11-20260430_065415/input_snapshot.json
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--- /dev/null
+++ b/SynthData0523/main/c11/forestdiffusion/forest-c11-20260430_065415/input_snapshot.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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diff --git a/SynthData0523/main/c11/forestdiffusion/forest-c11-20260430_065415/models_fd/model.joblib b/SynthData0523/main/c11/forestdiffusion/forest-c11-20260430_065415/models_fd/model.joblib
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--- /dev/null
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diff --git a/SynthData0523/main/c11/realtabformer/rtf-c11-20260329_105536/public_gate/public_gate_report.json b/SynthData0523/main/c11/realtabformer/rtf-c11-20260329_105536/public_gate/public_gate_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..0858d4230e72167e5c576be9ed3e14cad9a160c3
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+++ b/SynthData0523/main/c11/realtabformer/rtf-c11-20260329_105536/public_gate/public_gate_report.json
@@ -0,0 +1,37 @@
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\ No newline at end of file
diff --git a/SynthData0523/main/c11/realtabformer/rtf-c11-20260329_105536/public_gate/staged_input_manifest.json b/SynthData0523/main/c11/realtabformer/rtf-c11-20260329_105536/public_gate/staged_input_manifest.json
new file mode 100644
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diff --git a/SynthData0523/main/c11/realtabformer/rtf-c11-20260329_105536/realtabformer_features.json b/SynthData0523/main/c11/realtabformer/rtf-c11-20260329_105536/realtabformer_features.json
new file mode 100644
index 0000000000000000000000000000000000000000..4d689892859c0a81ae155bb01ac4df3f68477792
--- /dev/null
+++ b/SynthData0523/main/c11/realtabformer/rtf-c11-20260329_105536/realtabformer_features.json
@@ -0,0 +1,217 @@
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+  "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c11/realtabformer/rtf-c11-20260329_105536/staged/public/val.csv",
+  "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c11/realtabformer/rtf-c11-20260329_105536/staged/public/test.csv",
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+  "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c11/realtabformer/rtf-c11-20260329_105536/public_gate/public_gate_report.json"
+}
\ No newline at end of file
diff --git a/SynthData0523/main/c11/realtabformer/rtf-c11-20260329_105536/train_20260329_105539.log b/SynthData0523/main/c11/realtabformer/rtf-c11-20260329_105536/train_20260329_105539.log
new file mode 100644
index 0000000000000000000000000000000000000000..872a92598141ccd436b9103e67c6106b75dcf1b8
--- /dev/null
+++ b/SynthData0523/main/c11/realtabformer/rtf-c11-20260329_105536/train_20260329_105539.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:76c9637086bcbc6d4fc44030b49dc2fad665d22e9b6697c49770ea6fc5addcd6
+size 12607406
diff --git a/SynthData0523/main/c11/tabbyflow/tabbyflow-c11-20260422_035745/_tabbyflow_gen.py b/SynthData0523/main/c11/tabbyflow/tabbyflow-c11-20260422_035745/_tabbyflow_gen.py
new file mode 100644
index 0000000000000000000000000000000000000000..5402e6e88d197a4c85afd0e18470b66c1ab55cf1
--- /dev/null
+++ b/SynthData0523/main/c11/tabbyflow/tabbyflow-c11-20260422_035745/_tabbyflow_gen.py
@@ -0,0 +1,33 @@
+
+import os, shutil, subprocess, sys
+root = r"/workspace/ef-vfm"
+name = r"pipeline_ds"
+src = r"/work/output-SpecializedModels/c11/tabbyflow/tabbyflow-c11-20260422_035745/tabular_bundle/pipeline_ds"
+dst_data = os.path.join(root, "data", name)
+shutil.rmtree(dst_data, ignore_errors=True)
+shutil.copytree(src, dst_data)
+dst_syn = os.path.join(root, "synthetic", name)
+os.makedirs(dst_syn, exist_ok=True)
+for fn in ("real.csv", "test.csv", "val.csv"):
+    shutil.copy(os.path.join(src, fn), os.path.join(dst_syn, fn))
+os.chdir(root)
+os.environ["PYTHONPATH"] = root + os.pathsep + os.environ.get("PYTHONPATH", "")
+subprocess.check_call([
+    sys.executable, "main.py",
+    "--dataname", name, "--mode", "test", "--gpu", "0",
+    "--no_wandb", "--exp_name", r"adapter_tabbyflow-c11-20260422_035745",
+    "--ckpt_path", r"/workspace/ef-vfm/ef_vfm/ckpt/pipeline_ds/adapter_tabbyflow-c11-20260422_035745/model_500.pt",
+    "--num_samples_to_generate", str(int(54045)),
+])
+base = os.path.join(root, "ef_vfm", "result", name, r"adapter_tabbyflow-c11-20260422_035745")
+best = None
+best_t = -1.0
+for r, _, files in os.walk(base):
+    if "samples.csv" in files:
+        p = os.path.join(r, "samples.csv")
+        t = os.path.getmtime(p)
+        if t > best_t:
+            best_t, best = t, p
+if not best:
+    raise SystemExit("tabbyflow: no samples.csv in " + base)
+shutil.copy(best, r"/work/output-SpecializedModels/c11/tabbyflow/tabbyflow-c11-20260422_035745/tabbyflow-c11-54045-20260422_052600.csv")
diff --git a/SynthData0523/main/c11/tabbyflow/tabbyflow-c11-20260422_035745/_tabbyflow_train.py b/SynthData0523/main/c11/tabbyflow/tabbyflow-c11-20260422_035745/_tabbyflow_train.py
new file mode 100644
index 0000000000000000000000000000000000000000..0f0e6e0ca84cd0d4e595ef010de3ce97efe3123a
--- /dev/null
+++ b/SynthData0523/main/c11/tabbyflow/tabbyflow-c11-20260422_035745/_tabbyflow_train.py
@@ -0,0 +1,22 @@
+
+import os, shutil, subprocess, sys
+root = r"/workspace/ef-vfm"
+name = r"pipeline_ds"
+src = r"/work/output-SpecializedModels/c11/tabbyflow/tabbyflow-c11-20260422_035745/tabular_bundle/pipeline_ds"
+os.makedirs(os.path.join(root, "data", name), exist_ok=True)
+dst_data = os.path.join(root, "data", name)
+dst_syn = os.path.join(root, "synthetic", name)
+shutil.rmtree(dst_data, ignore_errors=True)
+shutil.copytree(src, dst_data)
+os.makedirs(dst_syn, exist_ok=True)
+for fn in ("real.csv", "test.csv", "val.csv"):
+    shutil.copy(os.path.join(src, fn), os.path.join(dst_syn, fn))
+os.chdir(root)
+os.environ["PYTHONPATH"] = root + os.pathsep + os.environ.get("PYTHONPATH", "")
+os.environ["EFVFM_SMOKE_STEPS"] = "500"
+os.environ["EFVFM_ADAPTER_TRAIN"] = "1"
+subprocess.check_call([
+    sys.executable, "main.py",
+    "--dataname", name, "--mode", "train", "--gpu", "0",
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index 0000000000000000000000000000000000000000..8f6ca220afc0dec014f8c53d8e6e55e474381f59
--- /dev/null
+++ b/SynthData0523/main/c11/tabddpm/tabddpm-c11-20260422_220946/_tabddpm_sample.py
@@ -0,0 +1,67 @@
+import os, sys, subprocess, json
+import numpy as np
+import pandas as pd
+
+tabddpm_root = "/workspace/tabddpm/code"
+assert os.path.isdir(tabddpm_root), f"TabDDPM source not mounted: {tabddpm_root}"
+env = os.environ.copy()
+env["PYTHONPATH"] = tabddpm_root + (os.pathsep + env.get("PYTHONPATH", ""))
+
+# Reuse the compat wrapper (patches collections.Sequence for skorch)
+wrapper = os.path.join(tabddpm_root, "_compat_run.py")
+if not os.path.exists(wrapper):
+    with open(wrapper, "w") as f:
+        f.write(
+            "import collections, collections.abc\n"
+            "for _a in ('Sequence','MutableSequence','MutableMapping','Mapping',"
+            "'MutableSet','Set','Callable','Iterable','Iterator'):\n"
+            "    if not hasattr(collections, _a): setattr(collections, _a, getattr(collections.abc, _a, None))\n"
+            "import sys, runpy\n"
+            "sys.argv = sys.argv[1:]\n"
+            "runpy.run_path(sys.argv[0], run_name='__main__')\n"
+        )
+
+print(f"[TabDDPM] Sampling 54045 rows")
+ret = subprocess.run(
+    [sys.executable, wrapper, "scripts/pipeline.py",
+     "--config", "/work/output-SpecializedModels/c11/tabddpm/tabddpm-c11-20260422_220946/config_sample_20260422_221822.toml",
+     "--sample"],
+    cwd=tabddpm_root,
+    env=env
+)
+if ret.returncode != 0:
+    sys.exit(ret.returncode)
+
+# 将 .npy 输出转为 CSV
+work_dir = "/work/output-SpecializedModels/c11/tabddpm/tabddpm-c11-20260422_220946"
+info_path = os.path.join(work_dir, "data", "info.json")
+with open(info_path) as f:
+    info = json.load(f)
+
+output_dir = os.path.join(work_dir, "output")
+col_names = info.get("column_names", [])
+
+parts = []
+x_num_path = os.path.join(output_dir, "X_num_train.npy")
+x_cat_path = os.path.join(output_dir, "X_cat_train.npy")
+y_path = os.path.join(output_dir, "y_train.npy")
+
+if os.path.exists(x_num_path):
+    parts.append(np.load(x_num_path, allow_pickle=True))
+if os.path.exists(x_cat_path):
+    parts.append(np.load(x_cat_path, allow_pickle=True).astype(float))
+if os.path.exists(y_path):
+    y = np.load(y_path, allow_pickle=True)
+    parts.append(y.reshape(-1, 1) if y.ndim == 1 else y)
+
+if parts:
+    combined = np.concatenate(parts, axis=1)
+    if col_names and len(col_names) == combined.shape[1]:
+        df = pd.DataFrame(combined, columns=col_names)
+    else:
+        df = pd.DataFrame(combined)
+    df.to_csv("/work/output-SpecializedModels/c11/tabddpm/tabddpm-c11-20260422_220946/tabddpm-c11-54045-20260422_221822.csv", index=False)
+    print(f"[TabDDPM] Saved {len(df)} rows -> /work/output-SpecializedModels/c11/tabddpm/tabddpm-c11-20260422_220946/tabddpm-c11-54045-20260422_221822.csv")
+else:
+    print("[TabDDPM] WARNING: No output .npy files found")
+    sys.exit(1)
diff --git a/SynthData0523/main/c11/tabddpm/tabddpm-c11-20260422_220946/_tabddpm_train.py b/SynthData0523/main/c11/tabddpm/tabddpm-c11-20260422_220946/_tabddpm_train.py
new file mode 100644
index 0000000000000000000000000000000000000000..b6d51329e0432409270f93f2346b6409ad17ed92
--- /dev/null
+++ b/SynthData0523/main/c11/tabddpm/tabddpm-c11-20260422_220946/_tabddpm_train.py
@@ -0,0 +1,32 @@
+import os, sys, subprocess
+
+tabddpm_root = "/workspace/tabddpm/code"
+assert os.path.isdir(tabddpm_root), f"TabDDPM source not mounted: {tabddpm_root}"
+env = os.environ.copy()
+env["PYTHONPATH"] = tabddpm_root + (os.pathsep + env.get("PYTHONPATH", ""))
+
+# Write a wrapper that patches collections.Sequence (removed in Python 3.10+)
+# before running pipeline.py - needed because skorch uses old API
+wrapper = os.path.join(tabddpm_root, "_compat_run.py")
+with open(wrapper, "w") as f:
+    f.write(
+        "import collections, collections.abc\n"
+        "for _a in ('Sequence','MutableSequence','MutableMapping','Mapping',"
+        "'MutableSet','Set','Callable','Iterable','Iterator'):\n"
+        "    if not hasattr(collections, _a): setattr(collections, _a, getattr(collections.abc, _a, None))\n"
+        "import sys, runpy\n"
+        "sys.argv = sys.argv[1:]\n"
+        "runpy.run_path(sys.argv[0], run_name='__main__')\n"
+    )
+
+print(f"[TabDDPM] Training, config=/work/output-SpecializedModels/c11/tabddpm/tabddpm-c11-20260422_220946/config.toml")
+ret = subprocess.run(
+    [sys.executable, wrapper, "scripts/pipeline.py",
+     "--config", "/work/output-SpecializedModels/c11/tabddpm/tabddpm-c11-20260422_220946/config.toml",
+     "--train"],
+    cwd=tabddpm_root,
+    env=env
+)
+if ret.returncode != 0:
+    sys.exit(ret.returncode)
+print("[TabDDPM] Training complete")
diff --git a/SynthData0523/main/c11/tabddpm/tabddpm-c11-20260422_220946/config.toml b/SynthData0523/main/c11/tabddpm/tabddpm-c11-20260422_220946/config.toml
new file mode 100644
index 0000000000000000000000000000000000000000..01747c7f320abb3da253d901389af0392fee0caa
--- /dev/null
+++ b/SynthData0523/main/c11/tabddpm/tabddpm-c11-20260422_220946/config.toml
@@ -0,0 +1,39 @@
+seed = 0
+parent_dir = "/work/output-SpecializedModels/c11/tabddpm/tabddpm-c11-20260422_220946/output"
+real_data_path = "/work/output-SpecializedModels/c11/tabddpm/tabddpm-c11-20260422_220946/data"
+model_type = "mlp"
+num_numerical_features = 0
+device = "cuda:0"
+
+[model_params]
+d_in = 42
+num_classes = 3
+is_y_cond = true
+
+[model_params.rtdl_params]
+d_layers = [256, 256]
+dropout = 0.0
+
+[diffusion_params]
+num_timesteps = 1000
+gaussian_loss_type = "mse"
+
+[train.main]
+steps = 5000
+lr = 0.001
+weight_decay = 0.0
+batch_size = 256
+
+[train.T]
+seed = 0
+normalization = "quantile"
+num_nan_policy = "__none__"
+cat_nan_policy = "__none__"
+cat_min_frequency = "__none__"
+cat_encoding = "__none__"
+y_policy = "default"
+
+[sample]
+num_samples = 1000
+batch_size = 1000
+seed = 0
diff --git a/SynthData0523/main/c11/tabddpm/tabddpm-c11-20260422_220946/config_sample_20260422_221822.toml b/SynthData0523/main/c11/tabddpm/tabddpm-c11-20260422_220946/config_sample_20260422_221822.toml
new file mode 100644
index 0000000000000000000000000000000000000000..4352c661574f452283d8f5579dbf6a5aebc506e7
--- /dev/null
+++ b/SynthData0523/main/c11/tabddpm/tabddpm-c11-20260422_220946/config_sample_20260422_221822.toml
@@ -0,0 +1,39 @@
+seed = 0
+parent_dir = "/work/output-SpecializedModels/c11/tabddpm/tabddpm-c11-20260422_220946/output"
+real_data_path = "/work/output-SpecializedModels/c11/tabddpm/tabddpm-c11-20260422_220946/data"
+model_type = "mlp"
+num_numerical_features = 0
+device = "cuda:0"
+
+[model_params]
+d_in = 42
+num_classes = 3
+is_y_cond = true
+
+[model_params.rtdl_params]
+d_layers = [256, 256]
+dropout = 0.0
+
+[diffusion_params]
+num_timesteps = 1000
+gaussian_loss_type = "mse"
+
+[train.main]
+steps = 5000
+lr = 0.001
+weight_decay = 0.0
+batch_size = 256
+
+[train.T]
+seed = 0
+normalization = "quantile"
+num_nan_policy = "__none__"
+cat_nan_policy = "__none__"
+cat_min_frequency = "__none__"
+cat_encoding = "__none__"
+y_policy = "default"
+
+[sample]
+num_samples = 54045
+batch_size = 1000
+seed = 0
diff --git a/SynthData0523/main/c11/tabddpm/tabddpm-c11-20260422_220946/data/X_cat_train.npy b/SynthData0523/main/c11/tabddpm/tabddpm-c11-20260422_220946/data/X_cat_train.npy
new file mode 100644
index 0000000000000000000000000000000000000000..3ff001fb4007f1b8724327d2630b5254c8aeea0b
--- /dev/null
+++ b/SynthData0523/main/c11/tabddpm/tabddpm-c11-20260422_220946/data/X_cat_train.npy
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:815de355de1f2fa446bd7d7c6f1318ca0cee54ef1374d29fca6fb983fe06a273
+size 18159248
diff --git a/SynthData0523/main/c11/tabddpm/tabddpm-c11-20260422_220946/data/info.json b/SynthData0523/main/c11/tabddpm/tabddpm-c11-20260422_220946/data/info.json
new file mode 100644
index 0000000000000000000000000000000000000000..45a6d9fa8b43ab0e089bc30465e61700037c48bc
--- /dev/null
+++ b/SynthData0523/main/c11/tabddpm/tabddpm-c11-20260422_220946/data/info.json
@@ -0,0 +1,101 @@
+{
+  "name": "benchmark_dataset",
+  "task_type": "multiclass",
+  "n_num_features": 0,
+  "n_cat_features": 42,
+  "train_size": 54045,
+  "num_col_idx": [],
+  "cat_col_idx": [
+    0,
+    1,
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+    34,
+    35,
+    36,
+    37,
+    38,
+    39,
+    40,
+    41
+  ],
+  "target_col_idx": [
+    42
+  ],
+  "column_names": [
+    "a1",
+    "a2",
+    "a3",
+    "a4",
+    "a5",
+    "a6",
+    "b1",
+    "b2",
+    "b3",
+    "b4",
+    "b5",
+    "b6",
+    "c1",
+    "c2",
+    "c3",
+    "c4",
+    "c5",
+    "c6",
+    "d1",
+    "d2",
+    "d3",
+    "d4",
+    "d5",
+    "d6",
+    "e1",
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+    "e3",
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+    "f1",
+    "f2",
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+    "f4",
+    "f5",
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+    "g1",
+    "g2",
+    "g3",
+    "g4",
+    "g5",
+    "g6",
+    "class"
+  ],
+  "num_classes": 3
+}
\ No newline at end of file
diff --git a/SynthData0523/main/c11/tabddpm/tabddpm-c11-20260422_220946/data/y_train.npy b/SynthData0523/main/c11/tabddpm/tabddpm-c11-20260422_220946/data/y_train.npy
new file mode 100644
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--- /dev/null
+++ b/SynthData0523/main/c11/tabddpm/tabddpm-c11-20260422_220946/data/y_train.npy
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b7fee85410a7a9bc9e1d94d86e247c24268580f51464770d8d510e04ad08b2aa
+size 432488
diff --git a/SynthData0523/main/c11/tabddpm/tabddpm-c11-20260422_220946/gen_20260422_221822.log b/SynthData0523/main/c11/tabddpm/tabddpm-c11-20260422_220946/gen_20260422_221822.log
new file mode 100644
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--- /dev/null
+++ b/SynthData0523/main/c11/tabddpm/tabddpm-c11-20260422_220946/gen_20260422_221822.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9ac40b63c8c9aa602f9e85f2ddb3c41c40edafd3d94f96bc0a37f0840c91394c
+size 1155195
diff --git a/SynthData0523/main/c11/tabddpm/tabddpm-c11-20260422_220946/input_snapshot.json b/SynthData0523/main/c11/tabddpm/tabddpm-c11-20260422_220946/input_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..735885eb7f0ab8722d19fa645922ab2cae55b702
--- /dev/null
+++ b/SynthData0523/main/c11/tabddpm/tabddpm-c11-20260422_220946/input_snapshot.json
@@ -0,0 +1,36 @@
+{
+  "dataset_id": "c11",
+  "model": "tabddpm",
+  "inputs": {
+    "train_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c11/c11-train.csv",
+      "exists": true,
+      "size": 4828646,
+      "sha256": "bed2dabdf7082070f69164cbe9701e2e93753c20bafd0386a63a2208f46dbd4b"
+    },
+    "val_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c11/c11-val.csv",
+      "exists": true,
+      "size": 603585,
+      "sha256": "43bf4a406d9ad580d8bddff90f9649eaf909bff3e95a94a59b4ac70695fbf57a"
+    },
+    "test_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c11/c11-test.csv",
+      "exists": true,
+      "size": 603825,
+      "sha256": "585bd7e31b07354186f2dd38fedec7b8d4a88d1a2909db7e54be7b572f7e0e91"
+    },
+    "profile_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c11/c11-dataset_profile.json",
+      "exists": true,
+      "size": 13793,
+      "sha256": "511531728c8d5902b1edf2b7fcc5eae14d6af6749296089501b93202c182d693"
+    },
+    "contract_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c11/c11-dataset_contract_v1.json",
+      "exists": true,
+      "size": 18508,
+      "sha256": "640ed9b37d9083ca08a678117325282f1c73b57a0ada8df5eff2c15395c260a0"
+    }
+  }
+}
\ No newline at end of file
diff --git a/SynthData0523/main/c11/tabddpm/tabddpm-c11-20260422_220946/output/X_cat_train.npy b/SynthData0523/main/c11/tabddpm/tabddpm-c11-20260422_220946/output/X_cat_train.npy
new file mode 100644
index 0000000000000000000000000000000000000000..fe495c7217380a37723fea9db4c020537be741d1
--- /dev/null
+++ b/SynthData0523/main/c11/tabddpm/tabddpm-c11-20260422_220946/output/X_cat_train.npy
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e7226882e5f3ffd08be26e6766b80ee57597a8c800a94daca5e8dc0cc921990f
+size 4544603
diff --git a/SynthData0523/main/c11/tabddpm/tabddpm-c11-20260422_220946/output/X_cat_unnorm.npy b/SynthData0523/main/c11/tabddpm/tabddpm-c11-20260422_220946/output/X_cat_unnorm.npy
new file mode 100644
index 0000000000000000000000000000000000000000..5f4961598824daf8e3e3d54fa548c0748279733b
--- /dev/null
+++ b/SynthData0523/main/c11/tabddpm/tabddpm-c11-20260422_220946/output/X_cat_unnorm.npy
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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diff --git a/SynthData0523/main/c11/tabddpm/tabddpm-c11-20260422_220946/output/config.toml b/SynthData0523/main/c11/tabddpm/tabddpm-c11-20260422_220946/output/config.toml
new file mode 100644
index 0000000000000000000000000000000000000000..4352c661574f452283d8f5579dbf6a5aebc506e7
--- /dev/null
+++ b/SynthData0523/main/c11/tabddpm/tabddpm-c11-20260422_220946/output/config.toml
@@ -0,0 +1,39 @@
+seed = 0
+parent_dir = "/work/output-SpecializedModels/c11/tabddpm/tabddpm-c11-20260422_220946/output"
+real_data_path = "/work/output-SpecializedModels/c11/tabddpm/tabddpm-c11-20260422_220946/data"
+model_type = "mlp"
+num_numerical_features = 0
+device = "cuda:0"
+
+[model_params]
+d_in = 42
+num_classes = 3
+is_y_cond = true
+
+[model_params.rtdl_params]
+d_layers = [256, 256]
+dropout = 0.0
+
+[diffusion_params]
+num_timesteps = 1000
+gaussian_loss_type = "mse"
+
+[train.main]
+steps = 5000
+lr = 0.001
+weight_decay = 0.0
+batch_size = 256
+
+[train.T]
+seed = 0
+normalization = "quantile"
+num_nan_policy = "__none__"
+cat_nan_policy = "__none__"
+cat_min_frequency = "__none__"
+cat_encoding = "__none__"
+y_policy = "default"
+
+[sample]
+num_samples = 54045
+batch_size = 1000
+seed = 0
diff --git a/SynthData0523/main/c11/tabddpm/tabddpm-c11-20260422_220946/output/info.json b/SynthData0523/main/c11/tabddpm/tabddpm-c11-20260422_220946/output/info.json
new file mode 100644
index 0000000000000000000000000000000000000000..45a6d9fa8b43ab0e089bc30465e61700037c48bc
--- /dev/null
+++ b/SynthData0523/main/c11/tabddpm/tabddpm-c11-20260422_220946/output/info.json
@@ -0,0 +1,101 @@
+{
+  "name": "benchmark_dataset",
+  "task_type": "multiclass",
+  "n_num_features": 0,
+  "n_cat_features": 42,
+  "train_size": 54045,
+  "num_col_idx": [],
+  "cat_col_idx": [
+    0,
+    1,
+    2,
+    3,
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+    39,
+    40,
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+  ],
+  "target_col_idx": [
+    42
+  ],
+  "column_names": [
+    "a1",
+    "a2",
+    "a3",
+    "a4",
+    "a5",
+    "a6",
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+    "b2",
+    "b3",
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+    "b6",
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+    "f6",
+    "g1",
+    "g2",
+    "g3",
+    "g4",
+    "g5",
+    "g6",
+    "class"
+  ],
+  "num_classes": 3
+}
\ No newline at end of file
diff --git a/SynthData0523/main/c11/tabddpm/tabddpm-c11-20260422_220946/output/loss.csv b/SynthData0523/main/c11/tabddpm/tabddpm-c11-20260422_220946/output/loss.csv
new file mode 100644
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--- /dev/null
+++ b/SynthData0523/main/c11/tabddpm/tabddpm-c11-20260422_220946/output/loss.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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diff --git a/SynthData0523/main/c11/tabddpm/tabddpm-c11-20260422_220946/public_gate/public_gate_report.json b/SynthData0523/main/c11/tabddpm/tabddpm-c11-20260422_220946/public_gate/public_gate_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..0858d4230e72167e5c576be9ed3e14cad9a160c3
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+++ b/SynthData0523/main/c11/tabddpm/tabddpm-c11-20260422_220946/public_gate/public_gate_report.json
@@ -0,0 +1,37 @@
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\ No newline at end of file
diff --git a/SynthData0523/main/c11/tabddpm/tabddpm-c11-20260422_220946/public_gate/staged_input_manifest.json b/SynthData0523/main/c11/tabddpm/tabddpm-c11-20260422_220946/public_gate/staged_input_manifest.json
new file mode 100644
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+  "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c11/tabddpm/tabddpm-c11-20260422_220946/staged/public/val.csv",
+  "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c11/tabddpm/tabddpm-c11-20260422_220946/staged/public/test.csv",
+  "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c11/tabddpm/tabddpm-c11-20260422_220946/staged/public/staged_features.json",
+  "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c11/tabddpm/tabddpm-c11-20260422_220946/public_gate/public_gate_report.json"
+}
\ No newline at end of file
diff --git a/SynthData0523/main/c11/tabddpm/tabddpm-c11-20260422_220946/tabddpm-c11-54045-20260422_221822.csv b/SynthData0523/main/c11/tabddpm/tabddpm-c11-20260422_220946/tabddpm-c11-54045-20260422_221822.csv
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diff --git a/SynthData0523/main/c11/tabddpm/tabddpm-c11-20260422_220946/train_20260422_220951.log b/SynthData0523/main/c11/tabddpm/tabddpm-c11-20260422_220946/train_20260422_220951.log
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diff --git a/SynthData0523/main/c11/tabdiff/tabdiff-c11-20260501_081401/_tabdiff_gen.py b/SynthData0523/main/c11/tabdiff/tabdiff-c11-20260501_081401/_tabdiff_gen.py
new file mode 100644
index 0000000000000000000000000000000000000000..387b1a603d254a2539bec500539c7f6327d6e056
--- /dev/null
+++ b/SynthData0523/main/c11/tabdiff/tabdiff-c11-20260501_081401/_tabdiff_gen.py
@@ -0,0 +1,36 @@
+
+import os, shutil, subprocess, sys
+td = r"/workspace/TabDiff"
+name = r"pipeline_c11"
+src = r"/work/output-Benchmark-trainonly-v1/c11/tabdiff/tabdiff-c11-20260501_081401/tabular_bundle/pipeline_c11"
+dst_data = os.path.join(td, "data", name)
+dst_syn = os.path.join(td, "synthetic", name)
+shutil.rmtree(dst_data, ignore_errors=True)
+shutil.copytree(src, dst_data)
+os.makedirs(dst_syn, exist_ok=True)
+for fn in ("real.csv", "test.csv", "val.csv"):
+    shutil.copy(os.path.join(src, fn), os.path.join(dst_syn, fn))
+os.chdir(td)
+os.environ["PYTHONPATH"] = td + os.pathsep + os.environ.get("PYTHONPATH", "")
+subprocess.check_call([
+    sys.executable, "-m", "tabdiff.main",
+    "--dataname", name, "--mode", "test", "--gpu", "0",
+    "--no_wandb", "--exp_name", r"adapter_learnable",
+    "--ckpt_path", r"/workspace/TabDiff/tabdiff/ckpt/pipeline_c11/adapter_learnable/model_500.pt",
+    "--num_samples_to_generate", str(int(54045)),
+])
+# test() 写入 tabdiff/result/<dataname>/<exp>/<epoch>/samples.csv
+import glob as g
+base = os.path.join(td, "tabdiff", "result", name, r"adapter_learnable")
+best = None
+best_t = -1.0
+for root, _, files in os.walk(base):
+    if "samples.csv" in files:
+        p = os.path.join(root, "samples.csv")
+        t = os.path.getmtime(p)
+        if t > best_t:
+            best_t = t
+            best = p
+if not best:
+    raise SystemExit("tabdiff: no samples.csv under " + base)
+shutil.copy(best, r"/work/output-Benchmark-trainonly-v1/c11/tabdiff/tabdiff-c11-20260501_081401/tabdiff-c11-54045-20260501_083409.csv")
diff --git a/SynthData0523/main/c11/tabdiff/tabdiff-c11-20260501_081401/_tabdiff_train.py b/SynthData0523/main/c11/tabdiff/tabdiff-c11-20260501_081401/_tabdiff_train.py
new file mode 100644
index 0000000000000000000000000000000000000000..bcad3266bb826f0e66a68882cf147031bd04d79f
--- /dev/null
+++ b/SynthData0523/main/c11/tabdiff/tabdiff-c11-20260501_081401/_tabdiff_train.py
@@ -0,0 +1,21 @@
+
+import os, shutil, subprocess, sys
+td = r"/workspace/TabDiff"
+name = r"pipeline_c11"
+src = r"/work/output-Benchmark-trainonly-v1/c11/tabdiff/tabdiff-c11-20260501_081401/tabular_bundle/pipeline_c11"
+dst_data = os.path.join(td, "data", name)
+dst_syn = os.path.join(td, "synthetic", name)
+shutil.rmtree(dst_data, ignore_errors=True)
+shutil.copytree(src, dst_data)
+os.makedirs(dst_syn, exist_ok=True)
+for fn in ("real.csv", "test.csv", "val.csv"):
+    shutil.copy(os.path.join(src, fn), os.path.join(dst_syn, fn))
+os.chdir(td)
+os.environ["PYTHONPATH"] = td + os.pathsep + os.environ.get("PYTHONPATH", "")
+os.environ["TABDIFF_SMOKE_STEPS"] = "500"
+os.environ["TABDIFF_ADAPTER_TRAIN"] = "1"
+subprocess.check_call([
+    sys.executable, "-m", "tabdiff.main",
+    "--dataname", name, "--mode", "train", "--gpu", "0",
+    "--no_wandb", "--exp_name", r"adapter_learnable",
+])
diff --git a/SynthData0523/main/c11/tabdiff/tabdiff-c11-20260501_081401/gen_20260501_083409.log b/SynthData0523/main/c11/tabdiff/tabdiff-c11-20260501_081401/gen_20260501_083409.log
new file mode 100644
index 0000000000000000000000000000000000000000..0e332af80e8ef5847189a106fe14f08528ae2464
--- /dev/null
+++ b/SynthData0523/main/c11/tabdiff/tabdiff-c11-20260501_081401/gen_20260501_083409.log
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+version https://git-lfs.github.com/spec/v1
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diff --git a/SynthData0523/main/c11/tabpfgen/tabpfgen-c11-20260511_061231/_tabpfgen_generate.py b/SynthData0523/main/c11/tabpfgen/tabpfgen-c11-20260511_061231/_tabpfgen_generate.py
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--- /dev/null
+++ b/SynthData0523/main/c11/tabpfgen/tabpfgen-c11-20260511_061231/_tabpfgen_generate.py
@@ -0,0 +1,131 @@
+import os
+import numpy as np
+import pandas as pd
+import json
+from tabpfgen import TabPFGen
+
+df = pd.read_csv("/work/output-Benchmark-trainonly-v1/c11/tabpfgen/tabpfgen-c11-20260511_061231/staged/public/train.csv")
+target_col = "class"
+
+target_missing = df[target_col].isna()
+if target_missing.any():
+    dropped = int(target_missing.sum())
+    df = df.loc[~target_missing].copy()
+    print(
+        f"[TabPFGen] Dropped {dropped} rows with missing target '{target_col}'"
+    )
+if df.empty:
+    raise ValueError(
+        f"[TabPFGen] No rows remain after dropping missing target '{target_col}'"
+    )
+
+feature_cols = [c for c in df.columns if c != target_col]
+
+cat_encodings = {}
+for col in feature_cols:
+    if df[col].dtype == object or str(df[col].dtype) == 'category':
+        cats = sorted(df[col].dropna().unique().tolist(), key=str)
+        cat_map = {v: i for i, v in enumerate(cats)}
+        df[col] = df[col].map(cat_map).astype(float)
+        cat_encodings[col] = cats
+        print(f"[TabPFGen] Label-encoded '{col}' ({len(cats)} categories)")
+
+target_cats = None
+if df[target_col].dtype == object or str(df[target_col].dtype) == 'category':
+    cats = sorted(df[target_col].dropna().unique().tolist(), key=str)
+    t_map = {v: i for i, v in enumerate(cats)}
+    df[target_col] = df[target_col].map(t_map).astype(float)
+    target_cats = cats
+    print(f"[TabPFGen] Label-encoded target '{target_col}' ({len(cats)} categories)")
+
+X = df[feature_cols].values.astype(np.float32)
+y = df[target_col].values
+fit_rows_cap = max(1, int(os.environ.get("TABPFGEN_FIT_MAX_ROWS", "50000")))
+if len(X) > fit_rows_cap:
+    rng = np.random.default_rng(42)
+    idx = np.sort(rng.choice(len(X), size=fit_rows_cap, replace=False))
+    X = X[idx]
+    y = y[idx]
+    print(f"[TabPFGen] Downsampled fit rows -> {len(X)} (cap={fit_rows_cap})")
+target_n = int(54045)
+
+for i in range(X.shape[1]):
+    col_vals = X[:, i]
+    mask = np.isnan(col_vals)
+    if mask.any():
+        mean_val = np.nanmean(col_vals)
+        X[mask, i] = mean_val if not np.isnan(mean_val) else 0.0
+
+chunk_rows = max(1, int(os.environ.get("TABPFGEN_GEN_CHUNK_ROWS", "256")))
+device = (os.environ.get("TABPFGEN_DEVICE") or "auto").strip() or "auto"
+
+n_sgld_steps = max(1, int(os.environ.get("TABPFGEN_N_SGLD_STEPS", "1000")))
+sgld_step_size = float(os.environ.get("TABPFGEN_SGLD_STEP_SIZE", "0.01"))
+sgld_noise_scale = float(os.environ.get("TABPFGEN_SGLD_NOISE_SCALE", "0.01"))
+
+# TabPFGen v0.1.x API：仅支持 n_sgld_steps / sgld_* / device。
+# （旧版脚本中的 energy_*_chunk 与上游 TabPFGen 不一致，会导致 TypeError。）
+gen = TabPFGen(
+    n_sgld_steps=n_sgld_steps,
+    sgld_step_size=sgld_step_size,
+    sgld_noise_scale=sgld_noise_scale,
+    device=device,
+)
+
+print(
+    f"[TabPFGen] Generating {target_n} rows via generate_classification "
+    f"(chunk_rows={chunk_rows}, device={device}, "
+    f"n_sgld_steps={n_sgld_steps}, sgld_step_size={sgld_step_size}, "
+    f"sgld_noise_scale={sgld_noise_scale})"
+)
+x_parts = []
+y_parts = []
+remaining = target_n
+while remaining > 0:
+    take = min(chunk_rows, remaining)
+    X_part, y_part = gen.generate_classification(X, y, n_samples=take)
+    x_parts.append(np.asarray(X_part))
+    y_parts.append(np.asarray(y_part))
+    remaining -= take
+    print(f"[TabPFGen] chunk done: take={take}, remaining={remaining}")
+
+X_syn = np.concatenate(x_parts, axis=0)
+y_syn = np.concatenate(y_parts, axis=0)
+
+syn_df = pd.DataFrame(X_syn, columns=feature_cols)
+syn_df[target_col] = y_syn
+
+for col, cats in cat_encodings.items():
+    codes = np.round(syn_df[col].values).astype(int)
+    codes = np.clip(codes, 0, len(cats) - 1)
+    syn_df[col] = [cats[c] for c in codes]
+
+if target_cats is not None:
+    codes = np.round(syn_df[target_col].values).astype(int)
+    codes = np.clip(codes, 0, len(target_cats) - 1)
+    syn_df[target_col] = [target_cats[c] for c in codes]
+
+if len(syn_df) > target_n:
+    print(f"[TabPFGen] Trimming rows: {len(syn_df)} -> {target_n}")
+    syn_df = syn_df.iloc[:target_n].copy()
+elif len(syn_df) < target_n:
+    deficit = target_n - len(syn_df)
+    print(f"[TabPFGen] Padding rows: {len(syn_df)} -> {target_n} (deficit={deficit})")
+    if len(syn_df) > 0:
+        extra = syn_df.sample(n=deficit, replace=True, random_state=42)
+        syn_df = pd.concat(
+            [syn_df.reset_index(drop=True), extra.reset_index(drop=True)],
+            ignore_index=True,
+        )
+    else:
+        syn_df = df[feature_cols + [target_col]].sample(
+            n=target_n, replace=True, random_state=42
+        ).reset_index(drop=True)
+
+syn_df = syn_df[list(df.columns)]
+if len(syn_df) != target_n:
+    raise RuntimeError(
+        f"[TabPFGen] Row alignment failed: got {len(syn_df)}, expected {target_n}"
+    )
+syn_df.to_csv("/work/output-Benchmark-trainonly-v1/c11/tabpfgen/tabpfgen-c11-20260511_061231/tabpfgen-c11-54045-20260511_061232.csv", index=False)
+print(f"[TabPFGen] Saved {len(syn_df)} rows -> /work/output-Benchmark-trainonly-v1/c11/tabpfgen/tabpfgen-c11-20260511_061231/tabpfgen-c11-54045-20260511_061232.csv")
diff --git a/SynthData0523/main/c11/tabpfgen/tabpfgen-c11-20260511_061231/gen_20260511_061232.log b/SynthData0523/main/c11/tabpfgen/tabpfgen-c11-20260511_061231/gen_20260511_061232.log
new file mode 100644
index 0000000000000000000000000000000000000000..b1b5b7adc94b3fff5f165fa5ba96f38cfcd44982
--- /dev/null
+++ b/SynthData0523/main/c11/tabpfgen/tabpfgen-c11-20260511_061231/gen_20260511_061232.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:eab0acc708fc470889814e252fc3a18332115c9b7b84f7875988b937ed0aa8d6
+size 42371
diff --git a/SynthData0523/main/c11/tabpfgen/tabpfgen-c11-20260511_061231/input_snapshot.json b/SynthData0523/main/c11/tabpfgen/tabpfgen-c11-20260511_061231/input_snapshot.json
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--- /dev/null
+++ b/SynthData0523/main/c11/tabpfgen/tabpfgen-c11-20260511_061231/input_snapshot.json
@@ -0,0 +1,3 @@
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diff --git a/SynthData0523/main/c11/tabpfgen/tabpfgen-c11-20260511_061231/public_gate/normalized_schema_snapshot.json b/SynthData0523/main/c11/tabpfgen/tabpfgen-c11-20260511_061231/public_gate/normalized_schema_snapshot.json
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--- /dev/null
+++ b/SynthData0523/main/c11/tabpfgen/tabpfgen-c11-20260511_061231/public_gate/normalized_schema_snapshot.json
@@ -0,0 +1,3 @@
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diff --git a/SynthData0523/main/c11/tabpfgen/tabpfgen-c11-20260511_061231/public_gate/public_gate_report.json b/SynthData0523/main/c11/tabpfgen/tabpfgen-c11-20260511_061231/public_gate/public_gate_report.json
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+++ b/SynthData0523/main/c11/tabpfgen/tabpfgen-c11-20260511_061231/public_gate/public_gate_report.json
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+version https://git-lfs.github.com/spec/v1
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diff --git a/SynthData0523/main/c11/tabpfgen/tabpfgen-c11-20260511_061231/public_gate/staged_input_manifest.json b/SynthData0523/main/c11/tabpfgen/tabpfgen-c11-20260511_061231/public_gate/staged_input_manifest.json
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+++ b/SynthData0523/main/c11/tabpfgen/tabpfgen-c11-20260511_061231/public_gate/staged_input_manifest.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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diff --git a/SynthData0523/main/c11/tabpfgen/tabpfgen-c11-20260511_061231/run_config.json b/SynthData0523/main/c11/tabpfgen/tabpfgen-c11-20260511_061231/run_config.json
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--- /dev/null
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diff --git a/SynthData0523/main/c11/tabpfgen/tabpfgen-c11-20260511_061231/runtime_result.json b/SynthData0523/main/c11/tabpfgen/tabpfgen-c11-20260511_061231/runtime_result.json
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--- /dev/null
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diff --git a/SynthData0523/main/c11/tabpfgen/tabpfgen-c11-20260511_061231/staged/public/staged_features.json b/SynthData0523/main/c11/tabpfgen/tabpfgen-c11-20260511_061231/staged/public/staged_features.json
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diff --git a/SynthData0523/main/c11/tabpfgen/tabpfgen-c11-20260511_061231/staged/public/test.csv b/SynthData0523/main/c11/tabpfgen/tabpfgen-c11-20260511_061231/staged/public/test.csv
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--- /dev/null
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diff --git a/SynthData0523/main/c11/tabpfgen/tabpfgen-c11-20260511_061231/staged/public/train.csv b/SynthData0523/main/c11/tabpfgen/tabpfgen-c11-20260511_061231/staged/public/train.csv
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--- /dev/null
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diff --git a/SynthData0523/main/c11/tabpfgen/tabpfgen-c11-20260511_061231/staged/public/val.csv b/SynthData0523/main/c11/tabpfgen/tabpfgen-c11-20260511_061231/staged/public/val.csv
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--- /dev/null
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diff --git a/SynthData0523/main/c11/tabpfgen/tabpfgen-c11-20260511_061231/staged/tabpfgen/adapter_report.json b/SynthData0523/main/c11/tabpfgen/tabpfgen-c11-20260511_061231/staged/tabpfgen/adapter_report.json
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diff --git a/SynthData0523/main/c11/tabpfgen/tabpfgen-c11-20260511_061231/staged/tabpfgen/adapter_transforms_applied.json b/SynthData0523/main/c11/tabpfgen/tabpfgen-c11-20260511_061231/staged/tabpfgen/adapter_transforms_applied.json
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diff --git a/SynthData0523/main/c11/tabpfgen/tabpfgen-c11-20260511_061231/tabpfgen-c11-54045-20260511_061232.csv b/SynthData0523/main/c11/tabpfgen/tabpfgen-c11-20260511_061231/tabpfgen-c11-54045-20260511_061232.csv
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diff --git a/SynthData0523/main/c11/tabpfgen/tabpfgen-c11-20260511_061231/tabpfgen_meta.json b/SynthData0523/main/c11/tabpfgen/tabpfgen-c11-20260511_061231/tabpfgen_meta.json
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--- /dev/null
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@@ -0,0 +1,3 @@
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diff --git a/SynthData0523/main/c11/tabpfgen/tabpfgen-c11-20260511_061231/train_20260511_061232.log b/SynthData0523/main/c11/tabpfgen/tabpfgen-c11-20260511_061231/train_20260511_061232.log
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--- /dev/null
+++ b/SynthData0523/main/c11/tabpfgen/tabpfgen-c11-20260511_061231/train_20260511_061232.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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diff --git a/SynthData0523/main/c11/tabsyn/tabsyn-c11-20260329_134004/_tabsyn_sample.py b/SynthData0523/main/c11/tabsyn/tabsyn-c11-20260329_134004/_tabsyn_sample.py
new file mode 100644
index 0000000000000000000000000000000000000000..3799bda39153697349fa8d0cd80c93ef882af0fa
--- /dev/null
+++ b/SynthData0523/main/c11/tabsyn/tabsyn-c11-20260329_134004/_tabsyn_sample.py
@@ -0,0 +1,60 @@
+import os, sys, subprocess
+
+work_dir = "/work/output-SpecializedModels/c11/tabsyn/tabsyn-c11-20260329_134004"
+dataname = "benchmark_ds"
+output_csv = "/work/output-SpecializedModels/c11/tabsyn/tabsyn-c11-20260329_134004/tabsyn-c11-54045-20260329_161537.csv"
+tabsyn_root = "/workspace/tabsyn"
+
+assert os.path.exists(tabsyn_root), f"TabSyn source not mounted: {tabsyn_root}"
+
+pip_libs = "/pip_libs"
+ppath = tabsyn_root + os.pathsep + pip_libs
+old = os.environ.get("PYTHONPATH", "")
+if old:
+    ppath += os.pathsep + old
+os.environ["PYTHONPATH"] = ppath
+sys.path.insert(0, pip_libs)
+sys.path.insert(0, tabsyn_root)
+
+try:
+    import icecream
+except ModuleNotFoundError:
+    print("[TabSyn] Installing dependencies (first run, cached for later)...")
+    subprocess.run(
+        [sys.executable, "-m", "pip", "install", "--target", pip_libs,
+         "icecream", "category_encoders", "tomli", "tomli-w",
+         "imbalanced-learn", "ml_collections", "rdt",
+         "xgboost", "xlrd", "openpyxl", "numpy<2", "-q"],
+        check=True
+    )
+    subprocess.run(
+        [sys.executable, "-m", "pip", "install", "--target", pip_libs,
+         "--no-deps", "libzero", "-q"],
+        check=True
+    )
+
+os.chdir(tabsyn_root)
+
+# Ensure data symlink exists
+data_link = os.path.join(tabsyn_root, "data", dataname)
+data_src = os.path.join(work_dir, "data", dataname)
+os.makedirs(os.path.join(tabsyn_root, "data"), exist_ok=True)
+if os.path.exists(data_link):
+    os.remove(data_link)
+os.symlink(data_src, data_link)
+
+print(f"[TabSyn] Sampling 54045 rows")
+env = os.environ.copy()
+ret = subprocess.run(
+    [sys.executable, "main.py",
+     "--dataname", dataname,
+     "--mode", "sample",
+     "--method", "tabsyn",
+     "--gpu", "0",
+     "--save_path", output_csv],
+    cwd=tabsyn_root,
+    env=env
+)
+if ret.returncode != 0:
+    sys.exit(ret.returncode)
+print(f"[TabSyn] Saved -> {output_csv}")
diff --git a/SynthData0523/main/c11/tabsyn/tabsyn-c11-20260329_134004/_tabsyn_train.py b/SynthData0523/main/c11/tabsyn/tabsyn-c11-20260329_134004/_tabsyn_train.py
new file mode 100644
index 0000000000000000000000000000000000000000..eeda29247b012c9d82408d8cbd5a235dc0480c11
--- /dev/null
+++ b/SynthData0523/main/c11/tabsyn/tabsyn-c11-20260329_134004/_tabsyn_train.py
@@ -0,0 +1,83 @@
+import os, sys, subprocess
+
+work_dir = "/work/output-SpecializedModels/c11/tabsyn/tabsyn-c11-20260329_134004"
+dataname = "benchmark_ds"
+tabsyn_root = "/workspace/tabsyn"
+
+assert os.path.exists(tabsyn_root), f"TabSyn source not mounted: {tabsyn_root}"
+
+pip_libs = "/pip_libs"
+# Add pip_libs to PYTHONPATH so cached packages are found
+ppath = tabsyn_root + os.pathsep + pip_libs
+old = os.environ.get("PYTHONPATH", "")
+if old:
+    ppath += os.pathsep + old
+os.environ["PYTHONPATH"] = ppath
+sys.path.insert(0, pip_libs)
+sys.path.insert(0, tabsyn_root)
+
+# Install missing deps into persistent cache (first run only)
+try:
+    import icecream
+except ModuleNotFoundError:
+    print("[TabSyn] Installing dependencies (first run, cached for later)...")
+    # Step 1: main packages (with numpy<2 to avoid torch conflict)
+    subprocess.run(
+        [sys.executable, "-m", "pip", "install", "--target", pip_libs,
+         "icecream", "category_encoders", "tomli", "tomli-w",
+         "imbalanced-learn", "ml_collections", "rdt",
+         "xgboost", "xlrd", "openpyxl", "numpy<2", "-q"],
+        check=True
+    )
+    # Step 2: libzero with --no-deps (avoids dependency conflict)
+    subprocess.run(
+        [sys.executable, "-m", "pip", "install", "--target", pip_libs,
+         "--no-deps", "libzero", "-q"],
+        check=True
+    )
+
+os.chdir(tabsyn_root)
+
+# Symlink data dir into TabSyn data/
+data_link = os.path.join(tabsyn_root, "data", dataname)
+data_src = os.path.join(work_dir, "data", dataname)
+os.makedirs(os.path.join(tabsyn_root, "data"), exist_ok=True)
+if os.path.exists(data_link):
+    os.remove(data_link)
+os.symlink(data_src, data_link)
+
+env = os.environ.copy()
+
+# Data preprocessing is done on the host side (_prepare_data_dir)
+# which creates .npy files, train/test CSVs, and info.json
+
+# Step 1: Train VAE (produces latent embeddings)
+print(f"[TabSyn] Step 1/2: Training VAE in {tabsyn_root}, dataname={dataname}")
+ret = subprocess.run(
+    [sys.executable, "main.py",
+     "--dataname", dataname,
+     "--mode", "train",
+     "--method", "vae",
+     "--gpu", "0"],
+    cwd=tabsyn_root,
+    env=env
+)
+if ret.returncode != 0:
+    print("[TabSyn] VAE training failed")
+    sys.exit(ret.returncode)
+
+# Step 2: Train diffusion model on latent space
+print(f"[TabSyn] Step 2/2: Training diffusion model")
+ret = subprocess.run(
+    [sys.executable, "main.py",
+     "--dataname", dataname,
+     "--mode", "train",
+     "--method", "tabsyn",
+     "--gpu", "0"],
+    cwd=tabsyn_root,
+    env=env
+)
+if ret.returncode != 0:
+    print("[TabSyn] Diffusion training failed")
+    sys.exit(ret.returncode)
+print("[TabSyn] Training complete (VAE + Diffusion)")
diff --git a/SynthData0523/main/c11/tabsyn/tabsyn-c11-20260329_134004/data/benchmark_ds/X_cat_test.npy b/SynthData0523/main/c11/tabsyn/tabsyn-c11-20260329_134004/data/benchmark_ds/X_cat_test.npy
new file mode 100644
index 0000000000000000000000000000000000000000..4f12b6c488147a4b8dae1c2147198e3e2a47c368
--- /dev/null
+++ b/SynthData0523/main/c11/tabsyn/tabsyn-c11-20260329_134004/data/benchmark_ds/X_cat_test.npy
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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+size 2216424
diff --git a/SynthData0523/main/c11/tabsyn/tabsyn-c11-20260329_134004/data/benchmark_ds/X_cat_train.npy b/SynthData0523/main/c11/tabsyn/tabsyn-c11-20260329_134004/data/benchmark_ds/X_cat_train.npy
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--- /dev/null
+++ b/SynthData0523/main/c11/tabsyn/tabsyn-c11-20260329_134004/data/benchmark_ds/X_cat_train.npy
@@ -0,0 +1,3 @@
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diff --git a/SynthData0523/main/c11/tabsyn/tabsyn-c11-20260329_134004/data/benchmark_ds/X_num_test.npy b/SynthData0523/main/c11/tabsyn/tabsyn-c11-20260329_134004/data/benchmark_ds/X_num_test.npy
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@@ -0,0 +1,3 @@
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diff --git a/SynthData0523/main/c11/tabsyn/tabsyn-c11-20260329_134004/tabsyn-c11-54045-20260329_161537.csv b/SynthData0523/main/c11/tabsyn/tabsyn-c11-20260329_134004/tabsyn-c11-54045-20260329_161537.csv
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diff --git a/SynthData0523/main/c11/tabsyn/tabsyn-c11-20260329_134004/train_20260329_134011.log b/SynthData0523/main/c11/tabsyn/tabsyn-c11-20260329_134004/train_20260329_134011.log
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--- /dev/null
+++ b/SynthData0523/main/c11/tabsyn/tabsyn-c11-20260329_134004/train_20260329_134011.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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diff --git a/SynthData0523/main/c11/tvae/tvae-c11-20260321_112101/_tvae_generate.py b/SynthData0523/main/c11/tvae/tvae-c11-20260321_112101/_tvae_generate.py
new file mode 100644
index 0000000000000000000000000000000000000000..e86180ea473db40caa5daead89aa58c89adce52c
--- /dev/null
+++ b/SynthData0523/main/c11/tvae/tvae-c11-20260321_112101/_tvae_generate.py
@@ -0,0 +1,5 @@
+from ctgan.synthesizers.tvae import TVAE
+model = TVAE.load("/work/output-SpecializedModels/c11/tvae/tvae-c11-20260321_112101/models_300epochs/tvae_300epochs.pt")
+samples = model.sample(54045)
+samples.to_csv("/work/output-SpecializedModels/c11/tvae/tvae-c11-20260321_112101/tvae-c11-54045-20260330_065346.csv", index=False)
+print(f"[TVAE] Generated 54045 rows -> /work/output-SpecializedModels/c11/tvae/tvae-c11-20260321_112101/tvae-c11-54045-20260330_065346.csv")
diff --git a/SynthData0523/main/c11/tvae/tvae-c11-20260321_112101/_tvae_train.py b/SynthData0523/main/c11/tvae/tvae-c11-20260321_112101/_tvae_train.py
new file mode 100644
index 0000000000000000000000000000000000000000..faaed93d7c2f6c43e99d8f8eb75c595a0a9cefcb
--- /dev/null
+++ b/SynthData0523/main/c11/tvae/tvae-c11-20260321_112101/_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/c11/tvae/tvae-c11-20260321_112101/staged/public/train.csv"
+meta_path = "/work/output-SpecializedModels/c11/tvae/tvae-c11-20260321_112101/tvae_metadata.json"
+save_path = "/work/output-SpecializedModels/c11/tvae/tvae-c11-20260321_112101/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}")
diff --git a/SynthData0523/main/c11/tvae/tvae-c11-20260321_112101/gen_20260321_113621.log b/SynthData0523/main/c11/tvae/tvae-c11-20260321_112101/gen_20260321_113621.log
new file mode 100644
index 0000000000000000000000000000000000000000..f961c86c1e1459220eb845e07316eaf075343451
--- /dev/null
+++ b/SynthData0523/main/c11/tvae/tvae-c11-20260321_112101/gen_20260321_113621.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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diff --git a/SynthData0523/main/c11/tvae/tvae-c11-20260321_112101/gen_20260330_065346.log b/SynthData0523/main/c11/tvae/tvae-c11-20260321_112101/gen_20260330_065346.log
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--- /dev/null
+++ b/SynthData0523/main/c11/tvae/tvae-c11-20260321_112101/gen_20260330_065346.log
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+version https://git-lfs.github.com/spec/v1
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diff --git a/SynthData0523/main/c11/tvae/tvae-c11-20260321_112101/input_snapshot.json b/SynthData0523/main/c11/tvae/tvae-c11-20260321_112101/input_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..b02e954ed69321117a2518450f4ed0bf89866f6e
--- /dev/null
+++ b/SynthData0523/main/c11/tvae/tvae-c11-20260321_112101/input_snapshot.json
@@ -0,0 +1,36 @@
+{
+  "dataset_id": "c11",
+  "model": "tvae",
+  "inputs": {
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+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c11/c11-train.csv",
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+      "sha256": "bed2dabdf7082070f69164cbe9701e2e93753c20bafd0386a63a2208f46dbd4b"
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+      "exists": true,
+      "size": 603585,
+      "sha256": "43bf4a406d9ad580d8bddff90f9649eaf909bff3e95a94a59b4ac70695fbf57a"
+    },
+    "test_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c11/c11-test.csv",
+      "exists": true,
+      "size": 603825,
+      "sha256": "585bd7e31b07354186f2dd38fedec7b8d4a88d1a2909db7e54be7b572f7e0e91"
+    },
+    "profile_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c11/c11-dataset_profile.json",
+      "exists": true,
+      "size": 13793,
+      "sha256": "511531728c8d5902b1edf2b7fcc5eae14d6af6749296089501b93202c182d693"
+    },
+    "contract_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c11/c11-dataset_contract_v1.json",
+      "exists": true,
+      "size": 18508,
+      "sha256": "640ed9b37d9083ca08a678117325282f1c73b57a0ada8df5eff2c15395c260a0"
+    }
+  }
+}
\ No newline at end of file
diff --git a/SynthData0523/main/c11/tvae/tvae-c11-20260321_112101/models_300epochs/train_20260321_112104.log b/SynthData0523/main/c11/tvae/tvae-c11-20260321_112101/models_300epochs/train_20260321_112104.log
new file mode 100644
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+++ b/SynthData0523/main/c11/tvae/tvae-c11-20260321_112101/models_300epochs/train_20260321_112104.log
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diff --git a/SynthData0523/main/c11/tvae/tvae-c11-20260321_112101/models_300epochs/tvae_300epochs.pt b/SynthData0523/main/c11/tvae/tvae-c11-20260321_112101/models_300epochs/tvae_300epochs.pt
new file mode 100644
index 0000000000000000000000000000000000000000..9fe3cbe67267d6ce009f917538e7c1fb364f80c9
--- /dev/null
+++ b/SynthData0523/main/c11/tvae/tvae-c11-20260321_112101/models_300epochs/tvae_300epochs.pt
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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+size 2091500
diff --git a/SynthData0523/main/c11/tvae/tvae-c11-20260321_112101/public_gate/normalized_schema_snapshot.json b/SynthData0523/main/c11/tvae/tvae-c11-20260321_112101/public_gate/normalized_schema_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..5f48f33959b81f6fdf48ccad6b47dbb1e5faf9f1
--- /dev/null
+++ b/SynthData0523/main/c11/tvae/tvae-c11-20260321_112101/public_gate/normalized_schema_snapshot.json
@@ -0,0 +1,824 @@
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diff --git a/SynthData0523/main/c11/tvae/tvae-c11-20260321_112101/public_gate/public_gate_report.json b/SynthData0523/main/c11/tvae/tvae-c11-20260321_112101/public_gate/public_gate_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..0858d4230e72167e5c576be9ed3e14cad9a160c3
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+++ b/SynthData0523/main/c11/tvae/tvae-c11-20260321_112101/public_gate/public_gate_report.json
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\ No newline at end of file
diff --git a/SynthData0523/main/c11/tvae/tvae-c11-20260321_112101/public_gate/staged_input_manifest.json b/SynthData0523/main/c11/tvae/tvae-c11-20260321_112101/public_gate/staged_input_manifest.json
new file mode 100644
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+      "type": "categorical"
+    },
+    {
+      "name": "c6",
+      "type": "categorical"
+    },
+    {
+      "name": "d1",
+      "type": "categorical"
+    },
+    {
+      "name": "d2",
+      "type": "categorical"
+    },
+    {
+      "name": "d3",
+      "type": "categorical"
+    },
+    {
+      "name": "d4",
+      "type": "categorical"
+    },
+    {
+      "name": "d5",
+      "type": "categorical"
+    },
+    {
+      "name": "d6",
+      "type": "categorical"
+    },
+    {
+      "name": "e1",
+      "type": "categorical"
+    },
+    {
+      "name": "e2",
+      "type": "categorical"
+    },
+    {
+      "name": "e3",
+      "type": "categorical"
+    },
+    {
+      "name": "e4",
+      "type": "categorical"
+    },
+    {
+      "name": "e5",
+      "type": "categorical"
+    },
+    {
+      "name": "e6",
+      "type": "categorical"
+    },
+    {
+      "name": "f1",
+      "type": "categorical"
+    },
+    {
+      "name": "f2",
+      "type": "categorical"
+    },
+    {
+      "name": "f3",
+      "type": "categorical"
+    },
+    {
+      "name": "f4",
+      "type": "categorical"
+    },
+    {
+      "name": "f5",
+      "type": "categorical"
+    },
+    {
+      "name": "f6",
+      "type": "categorical"
+    },
+    {
+      "name": "g1",
+      "type": "categorical"
+    },
+    {
+      "name": "g2",
+      "type": "categorical"
+    },
+    {
+      "name": "g3",
+      "type": "categorical"
+    },
+    {
+      "name": "g4",
+      "type": "categorical"
+    },
+    {
+      "name": "g5",
+      "type": "categorical"
+    },
+    {
+      "name": "g6",
+      "type": "categorical"
+    },
+    {
+      "name": "class",
+      "type": "categorical"
+    }
+  ]
+}
\ No newline at end of file