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+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 7,
+        "unique_ratio": 0.00104,
+        "example_values": [
+          "MEADOWS",
+          "GRASSES",
+          "WOODS",
+          "URBAN",
+          "LEAVES"
+        ]
+      }
+    }
+  ],
+  "public_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c5/realtabformer/rtf-c5-20260328_094434/public_gate/staged_input_manifest.json",
+  "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c5/realtabformer/rtf-c5-20260328_094434/staged/public/train.csv",
+  "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c5/realtabformer/rtf-c5-20260328_094434/staged/public/val.csv",
+  "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c5/realtabformer/rtf-c5-20260328_094434/staged/public/test.csv",
+  "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c5/realtabformer/rtf-c5-20260328_094434/staged/public/staged_features.json",
+  "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c5/realtabformer/rtf-c5-20260328_094434/public_gate/public_gate_report.json"
+}
\ No newline at end of file
diff --git a/SynthData0523/main/c5/realtabformer/rtf-c5-20260328_094434/train_20260328_094434.log b/SynthData0523/main/c5/realtabformer/rtf-c5-20260328_094434/train_20260328_094434.log
new file mode 100644
index 0000000000000000000000000000000000000000..91335582c67bb3434d95ac70025f99e94d7556c9
--- /dev/null
+++ b/SynthData0523/main/c5/realtabformer/rtf-c5-20260328_094434/train_20260328_094434.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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diff --git a/SynthData0523/main/c5/tabbyflow/tabbyflow-c5-20260420_060659/_tabbyflow_gen.py b/SynthData0523/main/c5/tabbyflow/tabbyflow-c5-20260420_060659/_tabbyflow_gen.py
new file mode 100644
index 0000000000000000000000000000000000000000..fea7e37c9c5342e5047b8a793581daa9348640fe
--- /dev/null
+++ b/SynthData0523/main/c5/tabbyflow/tabbyflow-c5-20260420_060659/_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/c5/tabbyflow/tabbyflow-c5-20260420_060659/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_efvfm",
+    "--ckpt_path", r"/workspace/ef-vfm/ef_vfm/ckpt/pipeline_ds/adapter_efvfm/model_500.pt",
+    "--num_samples_to_generate", str(int(6732)),
+])
+base = os.path.join(root, "ef_vfm", "result", name, r"adapter_efvfm")
+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/c5/tabbyflow/tabbyflow-c5-20260420_060659/tabbyflow-c5-6732-20260420_061354.csv")
diff --git a/SynthData0523/main/c5/tabbyflow/tabbyflow-c5-20260420_060659/_tabbyflow_train.py b/SynthData0523/main/c5/tabbyflow/tabbyflow-c5-20260420_060659/_tabbyflow_train.py
new file mode 100644
index 0000000000000000000000000000000000000000..2f55232e96e11f3ce9807680f7cb6e5f4f498e5d
--- /dev/null
+++ b/SynthData0523/main/c5/tabbyflow/tabbyflow-c5-20260420_060659/_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/c5/tabbyflow/tabbyflow-c5-20260420_060659/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",
+    "--no_wandb", "--exp_name", r"adapter_efvfm",
+])
diff --git a/SynthData0523/main/c5/tabbyflow/tabbyflow-c5-20260420_060659/input_snapshot.json b/SynthData0523/main/c5/tabbyflow/tabbyflow-c5-20260420_060659/input_snapshot.json
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--- /dev/null
+++ b/SynthData0523/main/c5/tabbyflow/tabbyflow-c5-20260420_060659/input_snapshot.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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diff --git a/SynthData0523/main/c5/tabbyflow/tabbyflow-c5-20260420_060659/models_tabbyflow/trained.pt b/SynthData0523/main/c5/tabbyflow/tabbyflow-c5-20260420_060659/models_tabbyflow/trained.pt
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--- /dev/null
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diff --git a/SynthData0523/main/c5/tabbyflow/tabbyflow-c5-20260420_060659/public_gate/normalized_schema_snapshot.json b/SynthData0523/main/c5/tabbyflow/tabbyflow-c5-20260420_060659/public_gate/normalized_schema_snapshot.json
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diff --git a/SynthData0523/main/c5/tabbyflow/tabbyflow-c5-20260420_060659/public_gate/public_gate_report.json b/SynthData0523/main/c5/tabbyflow/tabbyflow-c5-20260420_060659/public_gate/public_gate_report.json
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diff --git a/SynthData0523/main/c5/tabbyflow/tabbyflow-c5-20260420_060659/staged/public/staged_features.json b/SynthData0523/main/c5/tabbyflow/tabbyflow-c5-20260420_060659/staged/public/staged_features.json
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diff --git a/SynthData0523/main/c5/tabbyflow/tabbyflow-c5-20260420_060659/tabular_bundle/pipeline_ds/real.csv b/SynthData0523/main/c5/tabbyflow/tabbyflow-c5-20260420_060659/tabular_bundle/pipeline_ds/real.csv
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+++ b/SynthData0523/main/c5/tabbyflow/tabbyflow-c5-20260420_060659/tabular_bundle/pipeline_ds/real.csv
@@ -0,0 +1,3 @@
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+size 354085
diff --git a/SynthData0523/main/c5/tabbyflow/tabbyflow-c5-20260420_060659/tabular_bundle/pipeline_ds/test.csv b/SynthData0523/main/c5/tabbyflow/tabbyflow-c5-20260420_060659/tabular_bundle/pipeline_ds/test.csv
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+++ b/SynthData0523/main/c5/tabbyflow/tabbyflow-c5-20260420_060659/tabular_bundle/pipeline_ds/test.csv
@@ -0,0 +1,3 @@
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diff --git a/SynthData0523/main/c5/tabbyflow/tabbyflow-c5-20260420_060659/tabular_bundle/pipeline_ds/val.csv b/SynthData0523/main/c5/tabbyflow/tabbyflow-c5-20260420_060659/tabular_bundle/pipeline_ds/val.csv
new file mode 100644
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+++ b/SynthData0523/main/c5/tabbyflow/tabbyflow-c5-20260420_060659/tabular_bundle/pipeline_ds/val.csv
@@ -0,0 +1,3 @@
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diff --git a/SynthData0523/main/c5/tabbyflow/tabbyflow-c5-20260420_060659/tabular_bundle/pipeline_ds/y_test.npy b/SynthData0523/main/c5/tabbyflow/tabbyflow-c5-20260420_060659/tabular_bundle/pipeline_ds/y_test.npy
new file mode 100644
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+++ b/SynthData0523/main/c5/tabbyflow/tabbyflow-c5-20260420_060659/tabular_bundle/pipeline_ds/y_test.npy
@@ -0,0 +1,3 @@
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diff --git a/SynthData0523/main/c5/tabbyflow/tabbyflow-c5-20260420_060659/tabular_bundle/pipeline_ds/y_train.npy b/SynthData0523/main/c5/tabbyflow/tabbyflow-c5-20260420_060659/tabular_bundle/pipeline_ds/y_train.npy
new file mode 100644
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+++ b/SynthData0523/main/c5/tabbyflow/tabbyflow-c5-20260420_060659/tabular_bundle/pipeline_ds/y_train.npy
@@ -0,0 +1,3 @@
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diff --git a/SynthData0523/main/c5/tabbyflow/tabbyflow-c5-20260420_060659/tabular_bundle/pipeline_ds/y_val.npy b/SynthData0523/main/c5/tabbyflow/tabbyflow-c5-20260420_060659/tabular_bundle/pipeline_ds/y_val.npy
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+++ b/SynthData0523/main/c5/tabbyflow/tabbyflow-c5-20260420_060659/tabular_bundle/pipeline_ds/y_val.npy
@@ -0,0 +1,3 @@
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diff --git a/SynthData0523/main/c5/tabbyflow/tabbyflow-c5-20260420_060659/train_20260420_060659.log b/SynthData0523/main/c5/tabbyflow/tabbyflow-c5-20260420_060659/train_20260420_060659.log
new file mode 100644
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--- /dev/null
+++ b/SynthData0523/main/c5/tabbyflow/tabbyflow-c5-20260420_060659/train_20260420_060659.log
@@ -0,0 +1,3 @@
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diff --git a/SynthData0523/main/c5/tabddpm/tabddpm-c5-20260422_211246/_tabddpm_sample.py b/SynthData0523/main/c5/tabddpm/tabddpm-c5-20260422_211246/_tabddpm_sample.py
new file mode 100644
index 0000000000000000000000000000000000000000..b642bcf83b0940964bbb733cfa0f02147d76cd40
--- /dev/null
+++ b/SynthData0523/main/c5/tabddpm/tabddpm-c5-20260422_211246/_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 6732 rows")
+ret = subprocess.run(
+    [sys.executable, wrapper, "scripts/pipeline.py",
+     "--config", "/work/output-SpecializedModels/c5/tabddpm/tabddpm-c5-20260422_211246/config_sample_20260422_211947.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/c5/tabddpm/tabddpm-c5-20260422_211246"
+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/c5/tabddpm/tabddpm-c5-20260422_211246/tabddpm-c5-6732-20260422_211947.csv", index=False)
+    print(f"[TabDDPM] Saved {len(df)} rows -> /work/output-SpecializedModels/c5/tabddpm/tabddpm-c5-20260422_211246/tabddpm-c5-6732-20260422_211947.csv")
+else:
+    print("[TabDDPM] WARNING: No output .npy files found")
+    sys.exit(1)
diff --git a/SynthData0523/main/c5/tabddpm/tabddpm-c5-20260422_211246/_tabddpm_train.py b/SynthData0523/main/c5/tabddpm/tabddpm-c5-20260422_211246/_tabddpm_train.py
new file mode 100644
index 0000000000000000000000000000000000000000..a4e7e15a3ea99f8f52ab93851ab0de67d124383c
--- /dev/null
+++ b/SynthData0523/main/c5/tabddpm/tabddpm-c5-20260422_211246/_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/c5/tabddpm/tabddpm-c5-20260422_211246/config.toml")
+ret = subprocess.run(
+    [sys.executable, wrapper, "scripts/pipeline.py",
+     "--config", "/work/output-SpecializedModels/c5/tabddpm/tabddpm-c5-20260422_211246/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/c5/tabddpm/tabddpm-c5-20260422_211246/config.toml b/SynthData0523/main/c5/tabddpm/tabddpm-c5-20260422_211246/config.toml
new file mode 100644
index 0000000000000000000000000000000000000000..3d70231d28d96455b43382221741ef72df31f97e
--- /dev/null
+++ b/SynthData0523/main/c5/tabddpm/tabddpm-c5-20260422_211246/config.toml
@@ -0,0 +1,39 @@
+seed = 0
+parent_dir = "/work/output-SpecializedModels/c5/tabddpm/tabddpm-c5-20260422_211246/output"
+real_data_path = "/work/output-SpecializedModels/c5/tabddpm/tabddpm-c5-20260422_211246/data"
+model_type = "mlp"
+num_numerical_features = 0
+device = "cuda:0"
+
+[model_params]
+d_in = 22
+num_classes = 2
+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/c5/tabddpm/tabddpm-c5-20260422_211246/config_sample_20260422_211947.toml b/SynthData0523/main/c5/tabddpm/tabddpm-c5-20260422_211246/config_sample_20260422_211947.toml
new file mode 100644
index 0000000000000000000000000000000000000000..c15c8ba08e7cc3d787e4b89c7198613729a6dce3
--- /dev/null
+++ b/SynthData0523/main/c5/tabddpm/tabddpm-c5-20260422_211246/config_sample_20260422_211947.toml
@@ -0,0 +1,39 @@
+seed = 0
+parent_dir = "/work/output-SpecializedModels/c5/tabddpm/tabddpm-c5-20260422_211246/output"
+real_data_path = "/work/output-SpecializedModels/c5/tabddpm/tabddpm-c5-20260422_211246/data"
+model_type = "mlp"
+num_numerical_features = 0
+device = "cuda:0"
+
+[model_params]
+d_in = 22
+num_classes = 2
+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 = 6732
+batch_size = 1000
+seed = 0
diff --git a/SynthData0523/main/c5/tabddpm/tabddpm-c5-20260422_211246/data/X_cat_train.npy b/SynthData0523/main/c5/tabddpm/tabddpm-c5-20260422_211246/data/X_cat_train.npy
new file mode 100644
index 0000000000000000000000000000000000000000..049bbe2d600e0dc19d8800739a7985fadff45073
--- /dev/null
+++ b/SynthData0523/main/c5/tabddpm/tabddpm-c5-20260422_211246/data/X_cat_train.npy
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d2e5a8320a843e2485682b858182bafd262c91a7389b4627e7c2a43d15ca001a
+size 1184960
diff --git a/SynthData0523/main/c5/tabddpm/tabddpm-c5-20260422_211246/data/info.json b/SynthData0523/main/c5/tabddpm/tabddpm-c5-20260422_211246/data/info.json
new file mode 100644
index 0000000000000000000000000000000000000000..3773aabc908a4d92d99358303a71623225fa32ee
--- /dev/null
+++ b/SynthData0523/main/c5/tabddpm/tabddpm-c5-20260422_211246/data/info.json
@@ -0,0 +1,61 @@
+{
+  "name": "benchmark_dataset",
+  "task_type": "multiclass",
+  "n_num_features": 0,
+  "n_cat_features": 22,
+  "train_size": 6732,
+  "num_col_idx": [],
+  "cat_col_idx": [
+    0,
+    1,
+    2,
+    3,
+    4,
+    5,
+    6,
+    7,
+    8,
+    9,
+    10,
+    11,
+    12,
+    13,
+    14,
+    15,
+    16,
+    17,
+    18,
+    19,
+    20,
+    21
+  ],
+  "target_col_idx": [
+    22
+  ],
+  "column_names": [
+    "cap-shape",
+    "cap-surface",
+    "cap-color",
+    "bruises?",
+    "odor",
+    "gill-attachment",
+    "gill-spacing",
+    "gill-size",
+    "gill-color",
+    "stalk-shape",
+    "stalk-root",
+    "stalk-surface-above-ring",
+    "stalk-surface-below-ring",
+    "stalk-color-above-ring",
+    "stalk-color-below-ring",
+    "veil-type",
+    "veil-color",
+    "ring-number",
+    "ring-type",
+    "spore-print-color",
+    "population",
+    "habitat",
+    "class"
+  ],
+  "num_classes": 2
+}
\ No newline at end of file
diff --git a/SynthData0523/main/c5/tabddpm/tabddpm-c5-20260422_211246/data/y_train.npy b/SynthData0523/main/c5/tabddpm/tabddpm-c5-20260422_211246/data/y_train.npy
new file mode 100644
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--- /dev/null
+++ b/SynthData0523/main/c5/tabddpm/tabddpm-c5-20260422_211246/data/y_train.npy
@@ -0,0 +1,3 @@
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diff --git a/SynthData0523/main/c5/tabddpm/tabddpm-c5-20260422_211246/gen_20260422_211947.log b/SynthData0523/main/c5/tabddpm/tabddpm-c5-20260422_211246/gen_20260422_211947.log
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@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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diff --git a/SynthData0523/main/c5/tabddpm/tabddpm-c5-20260422_211246/input_snapshot.json b/SynthData0523/main/c5/tabddpm/tabddpm-c5-20260422_211246/input_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..1a6c8b8242a29b1410e0ad3cce0eac0263e95896
--- /dev/null
+++ b/SynthData0523/main/c5/tabddpm/tabddpm-c5-20260422_211246/input_snapshot.json
@@ -0,0 +1,36 @@
+{
+  "dataset_id": "c5",
+  "model": "tabddpm",
+  "inputs": {
+    "train_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c5/c5-train.csv",
+      "exists": true,
+      "size": 1004346,
+      "sha256": "47ca8fcb0dce8411cee7c20652d6bf10a48a4c284cef58267e775b807c625180"
+    },
+    "val_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c5/c5-val.csv",
+      "exists": true,
+      "size": 125666,
+      "sha256": "599dbe0d059984263e88e20a64ae75c0f9795a6ee662c7ae3d13fe4db35753c2"
+    },
+    "test_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c5/c5-test.csv",
+      "exists": true,
+      "size": 126062,
+      "sha256": "f4eab85438337cfa2fd60a783388c9bb9f2a67a8c077d09f929fe34ee2895c28"
+    },
+    "profile_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c5/c5-dataset_profile.json",
+      "exists": true,
+      "size": 8949,
+      "sha256": "74d201cb6f2a25d865c87f0421b9f9c5969d2edfd8fbae898594ff626b33e393"
+    },
+    "contract_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c5/c5-dataset_contract_v1.json",
+      "exists": true,
+      "size": 11183,
+      "sha256": "df30b6c2fb9044e5c99b3257357a58462928289a836a9cf591e2f754f49bf729"
+    }
+  }
+}
\ No newline at end of file
diff --git a/SynthData0523/main/c5/tabddpm/tabddpm-c5-20260422_211246/output/X_cat_train.npy b/SynthData0523/main/c5/tabddpm/tabddpm-c5-20260422_211246/output/X_cat_train.npy
new file mode 100644
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--- /dev/null
+++ b/SynthData0523/main/c5/tabddpm/tabddpm-c5-20260422_211246/output/X_cat_train.npy
@@ -0,0 +1,3 @@
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diff --git a/SynthData0523/main/c5/tabddpm/tabddpm-c5-20260422_211246/output/X_cat_unnorm.npy b/SynthData0523/main/c5/tabddpm/tabddpm-c5-20260422_211246/output/X_cat_unnorm.npy
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--- /dev/null
+++ b/SynthData0523/main/c5/tabddpm/tabddpm-c5-20260422_211246/output/X_cat_unnorm.npy
@@ -0,0 +1,3 @@
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diff --git a/SynthData0523/main/c5/tabddpm/tabddpm-c5-20260422_211246/output/config.toml b/SynthData0523/main/c5/tabddpm/tabddpm-c5-20260422_211246/output/config.toml
new file mode 100644
index 0000000000000000000000000000000000000000..c15c8ba08e7cc3d787e4b89c7198613729a6dce3
--- /dev/null
+++ b/SynthData0523/main/c5/tabddpm/tabddpm-c5-20260422_211246/output/config.toml
@@ -0,0 +1,39 @@
+seed = 0
+parent_dir = "/work/output-SpecializedModels/c5/tabddpm/tabddpm-c5-20260422_211246/output"
+real_data_path = "/work/output-SpecializedModels/c5/tabddpm/tabddpm-c5-20260422_211246/data"
+model_type = "mlp"
+num_numerical_features = 0
+device = "cuda:0"
+
+[model_params]
+d_in = 22
+num_classes = 2
+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 = 6732
+batch_size = 1000
+seed = 0
diff --git a/SynthData0523/main/c5/tabddpm/tabddpm-c5-20260422_211246/output/info.json b/SynthData0523/main/c5/tabddpm/tabddpm-c5-20260422_211246/output/info.json
new file mode 100644
index 0000000000000000000000000000000000000000..3773aabc908a4d92d99358303a71623225fa32ee
--- /dev/null
+++ b/SynthData0523/main/c5/tabddpm/tabddpm-c5-20260422_211246/output/info.json
@@ -0,0 +1,61 @@
+{
+  "name": "benchmark_dataset",
+  "task_type": "multiclass",
+  "n_num_features": 0,
+  "n_cat_features": 22,
+  "train_size": 6732,
+  "num_col_idx": [],
+  "cat_col_idx": [
+    0,
+    1,
+    2,
+    3,
+    4,
+    5,
+    6,
+    7,
+    8,
+    9,
+    10,
+    11,
+    12,
+    13,
+    14,
+    15,
+    16,
+    17,
+    18,
+    19,
+    20,
+    21
+  ],
+  "target_col_idx": [
+    22
+  ],
+  "column_names": [
+    "cap-shape",
+    "cap-surface",
+    "cap-color",
+    "bruises?",
+    "odor",
+    "gill-attachment",
+    "gill-spacing",
+    "gill-size",
+    "gill-color",
+    "stalk-shape",
+    "stalk-root",
+    "stalk-surface-above-ring",
+    "stalk-surface-below-ring",
+    "stalk-color-above-ring",
+    "stalk-color-below-ring",
+    "veil-type",
+    "veil-color",
+    "ring-number",
+    "ring-type",
+    "spore-print-color",
+    "population",
+    "habitat",
+    "class"
+  ],
+  "num_classes": 2
+}
\ No newline at end of file