diff --git a/.gitattributes b/.gitattributes
index 71786a7e2ae0cbbe3f765942625e39da1c5a2016..2227d3b040ec769eb6284f3c280804f1d14fc849 100644
--- a/.gitattributes
+++ b/.gitattributes
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 SynthData0523/main/c20/realtabformer/rtf-c20-20260329_231509/staged/public/train.csv filter=lfs diff=lfs merge=lfs -text
 SynthData0523/main/c20/realtabformer/rtf-c20-20260329_231509/staged/public/val.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c20/realtabformer/rtf-c20-20260329_231509/train_20260329_231510.log filter=lfs diff=lfs merge=lfs -text
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+SynthData0523/main/c20/tabbyflow/tabbyflow-c20-20260423_221729/models_tabbyflow/trained.pt filter=lfs diff=lfs merge=lfs -text
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+SynthData0523/main/c20/tabbyflow/tabbyflow-c20-20260423_221729/staged/public/staged_features.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c20/tabbyflow/tabbyflow-c20-20260423_221729/staged/public/test.csv filter=lfs diff=lfs merge=lfs -text
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+SynthData0523/main/c20/tabbyflow/tabbyflow-c20-20260423_221729/tabbyflow_resolved_ckpt.json filter=lfs diff=lfs merge=lfs -text
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+SynthData0523/main/c20/tabbyflow/tabbyflow-c20-20260423_221729/tabular_bundle/pipeline_ds/y_train.npy filter=lfs diff=lfs merge=lfs -text
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+SynthData0523/main/c20/tabddpm/tabddpm-c20-20260424_033725/data/X_num_train.npy filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c20/tabddpm/tabddpm-c20-20260424_033725/data/y_train.npy filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c20/tabddpm/tabddpm-c20-20260424_033725/gen_20260424_033931.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c20/tabddpm/tabddpm-c20-20260424_033725/output/X_num_train.npy filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c20/tabddpm/tabddpm-c20-20260424_033725/output/X_num_unnorm.npy filter=lfs diff=lfs merge=lfs -text
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diff --git a/SynthData0523/main/c20/realtabformer/rtf-c20-20260329_231509/staged/realtabformer/adapter_report.json b/SynthData0523/main/c20/realtabformer/rtf-c20-20260329_231509/staged/realtabformer/adapter_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..22b212189606b6e46eede5877642f5f028d6a998
--- /dev/null
+++ b/SynthData0523/main/c20/realtabformer/rtf-c20-20260329_231509/staged/realtabformer/adapter_report.json
@@ -0,0 +1,7 @@
+{
+  "adapter_ready_status": "pass",
+  "adapter_fail_reason_code": null,
+  "adapter_fail_detail": null,
+  "adapter_transforms_applied": [],
+  "model_input_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/realtabformer/rtf-c20-20260329_231509/staged/realtabformer/model_input_manifest.json"
+}
\ No newline at end of file
diff --git a/SynthData0523/main/c20/realtabformer/rtf-c20-20260329_231509/staged/realtabformer/adapter_transforms_applied.json b/SynthData0523/main/c20/realtabformer/rtf-c20-20260329_231509/staged/realtabformer/adapter_transforms_applied.json
new file mode 100644
index 0000000000000000000000000000000000000000..0637a088a01e8ddab3bf3fa98dbe804cbde1a0dc
--- /dev/null
+++ b/SynthData0523/main/c20/realtabformer/rtf-c20-20260329_231509/staged/realtabformer/adapter_transforms_applied.json
@@ -0,0 +1 @@
+[]
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diff --git a/SynthData0523/main/c20/realtabformer/rtf-c20-20260329_231509/staged/realtabformer/model_input_manifest.json b/SynthData0523/main/c20/realtabformer/rtf-c20-20260329_231509/staged/realtabformer/model_input_manifest.json
new file mode 100644
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+++ b/SynthData0523/main/c20/realtabformer/rtf-c20-20260329_231509/staged/realtabformer/model_input_manifest.json
@@ -0,0 +1,159 @@
+{
+  "dataset_id": "c20",
+  "model": "realtabformer",
+  "target_column": "class",
+  "task_type": "classification",
+  "column_schema": [
+    {
+      "name": "white_piece0_strength",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 5,
+        "unique_ratio": 0.000139,
+        "example_values": [
+          "7",
+          "0",
+          "4",
+          "5",
+          "6"
+        ]
+      }
+    },
+    {
+      "name": "white_piece0_file",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 7,
+        "unique_ratio": 0.000195,
+        "example_values": [
+          "5",
+          "6",
+          "3",
+          "0",
+          "1"
+        ]
+      }
+    },
+    {
+      "name": "white_piece0_rank",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 9,
+        "unique_ratio": 0.000251,
+        "example_values": [
+          "8",
+          "0",
+          "1",
+          "3",
+          "7"
+        ]
+      }
+    },
+    {
+      "name": "black_piece0_strength",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 5,
+        "unique_ratio": 0.000139,
+        "example_values": [
+          "4",
+          "7",
+          "0",
+          "6",
+          "5"
+        ]
+      }
+    },
+    {
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+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 7,
+        "unique_ratio": 0.000195,
+        "example_values": [
+          "1",
+          "0",
+          "3",
+          "4",
+          "6"
+        ]
+      }
+    },
+    {
+      "name": "black_piece0_rank",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
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+          "2",
+          "5",
+          "1",
+          "4"
+        ]
+      }
+    },
+    {
+      "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": 8.4e-05,
+        "example_values": [
+          "w",
+          "b",
+          "d"
+        ]
+      }
+    }
+  ],
+  "public_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/realtabformer/rtf-c20-20260329_231509/public_gate/staged_input_manifest.json",
+  "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/realtabformer/rtf-c20-20260329_231509/staged/public/train.csv",
+  "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/realtabformer/rtf-c20-20260329_231509/staged/public/val.csv",
+  "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/realtabformer/rtf-c20-20260329_231509/staged/public/test.csv",
+  "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/realtabformer/rtf-c20-20260329_231509/staged/public/staged_features.json",
+  "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/realtabformer/rtf-c20-20260329_231509/public_gate/public_gate_report.json"
+}
\ No newline at end of file
diff --git a/SynthData0523/main/c20/realtabformer/rtf-c20-20260329_231509/train_20260329_231510.log b/SynthData0523/main/c20/realtabformer/rtf-c20-20260329_231509/train_20260329_231510.log
new file mode 100644
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+++ b/SynthData0523/main/c20/realtabformer/rtf-c20-20260329_231509/train_20260329_231510.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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diff --git a/SynthData0523/main/c20/tabbyflow/tabbyflow-c20-20260423_221729/_tabbyflow_gen.py b/SynthData0523/main/c20/tabbyflow/tabbyflow-c20-20260423_221729/_tabbyflow_gen.py
new file mode 100644
index 0000000000000000000000000000000000000000..e756fd3719538abbca5fe94a5a77b2319b68d59b
--- /dev/null
+++ b/SynthData0523/main/c20/tabbyflow/tabbyflow-c20-20260423_221729/_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/c20/tabbyflow/tabbyflow-c20-20260423_221729/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-c20-20260423_221729",
+    "--ckpt_path", r"/workspace/ef-vfm/ef_vfm/ckpt/pipeline_ds/adapter_tabbyflow-c20-20260423_221729/model_500.pt",
+    "--num_samples_to_generate", str(int(35855)),
+])
+base = os.path.join(root, "ef_vfm", "result", name, r"adapter_tabbyflow-c20-20260423_221729")
+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/c20/tabbyflow/tabbyflow-c20-20260423_221729/tabbyflow-c20-35855-20260423_222304.csv")
diff --git a/SynthData0523/main/c20/tabbyflow/tabbyflow-c20-20260423_221729/_tabbyflow_train.py b/SynthData0523/main/c20/tabbyflow/tabbyflow-c20-20260423_221729/_tabbyflow_train.py
new file mode 100644
index 0000000000000000000000000000000000000000..d8ef125112885761b7ec3b9938e6ad7bcf79d3fd
--- /dev/null
+++ b/SynthData0523/main/c20/tabbyflow/tabbyflow-c20-20260423_221729/_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/c20/tabbyflow/tabbyflow-c20-20260423_221729/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_tabbyflow-c20-20260423_221729",
+])
diff --git a/SynthData0523/main/c20/tabbyflow/tabbyflow-c20-20260423_221729/input_snapshot.json b/SynthData0523/main/c20/tabbyflow/tabbyflow-c20-20260423_221729/input_snapshot.json
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+++ b/SynthData0523/main/c20/tabbyflow/tabbyflow-c20-20260423_221729/input_snapshot.json
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diff --git a/SynthData0523/main/c20/tabbyflow/tabbyflow-c20-20260423_221729/models_tabbyflow/trained.pt b/SynthData0523/main/c20/tabbyflow/tabbyflow-c20-20260423_221729/models_tabbyflow/trained.pt
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diff --git a/SynthData0523/main/c20/tabbyflow/tabbyflow-c20-20260423_221729/public_gate/public_gate_report.json b/SynthData0523/main/c20/tabbyflow/tabbyflow-c20-20260423_221729/public_gate/public_gate_report.json
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diff --git a/SynthData0523/main/c20/tabbyflow/tabbyflow-c20-20260423_221729/public_gate/staged_input_manifest.json b/SynthData0523/main/c20/tabbyflow/tabbyflow-c20-20260423_221729/public_gate/staged_input_manifest.json
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diff --git a/SynthData0523/main/c20/tabddpm/tabddpm-c20-20260424_033725/_tabddpm_sample.py b/SynthData0523/main/c20/tabddpm/tabddpm-c20-20260424_033725/_tabddpm_sample.py
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index 0000000000000000000000000000000000000000..f6798f2c9003423b1b18a87a243026aa561dbf43
--- /dev/null
+++ b/SynthData0523/main/c20/tabddpm/tabddpm-c20-20260424_033725/_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 35855 rows")
+ret = subprocess.run(
+    [sys.executable, wrapper, "scripts/pipeline.py",
+     "--config", "/work/output-SpecializedModels/c20/tabddpm/tabddpm-c20-20260424_033725/config_sample_20260424_033931.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/c20/tabddpm/tabddpm-c20-20260424_033725"
+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/c20/tabddpm/tabddpm-c20-20260424_033725/tabddpm-c20-35855-20260424_033931.csv", index=False)
+    print(f"[TabDDPM] Saved {len(df)} rows -> /work/output-SpecializedModels/c20/tabddpm/tabddpm-c20-20260424_033725/tabddpm-c20-35855-20260424_033931.csv")
+else:
+    print("[TabDDPM] WARNING: No output .npy files found")
+    sys.exit(1)
diff --git a/SynthData0523/main/c20/tabddpm/tabddpm-c20-20260424_033725/_tabddpm_train.py b/SynthData0523/main/c20/tabddpm/tabddpm-c20-20260424_033725/_tabddpm_train.py
new file mode 100644
index 0000000000000000000000000000000000000000..d1c0f1d905b999709916b652045a91363c1e7410
--- /dev/null
+++ b/SynthData0523/main/c20/tabddpm/tabddpm-c20-20260424_033725/_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/c20/tabddpm/tabddpm-c20-20260424_033725/config.toml")
+ret = subprocess.run(
+    [sys.executable, wrapper, "scripts/pipeline.py",
+     "--config", "/work/output-SpecializedModels/c20/tabddpm/tabddpm-c20-20260424_033725/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/c20/tabddpm/tabddpm-c20-20260424_033725/config.toml b/SynthData0523/main/c20/tabddpm/tabddpm-c20-20260424_033725/config.toml
new file mode 100644
index 0000000000000000000000000000000000000000..3e24687ca7ebe2b0c7622b8bf59de9845868849a
--- /dev/null
+++ b/SynthData0523/main/c20/tabddpm/tabddpm-c20-20260424_033725/config.toml
@@ -0,0 +1,39 @@
+seed = 0
+parent_dir = "/work/output-SpecializedModels/c20/tabddpm/tabddpm-c20-20260424_033725/output"
+real_data_path = "/work/output-SpecializedModels/c20/tabddpm/tabddpm-c20-20260424_033725/data"
+model_type = "mlp"
+num_numerical_features = 6
+device = "cuda:0"
+
+[model_params]
+d_in = 6
+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/c20/tabddpm/tabddpm-c20-20260424_033725/config_sample_20260424_033931.toml b/SynthData0523/main/c20/tabddpm/tabddpm-c20-20260424_033725/config_sample_20260424_033931.toml
new file mode 100644
index 0000000000000000000000000000000000000000..8c3bd9623f95b39bf451ce6c0eb01d0ce0066a9f
--- /dev/null
+++ b/SynthData0523/main/c20/tabddpm/tabddpm-c20-20260424_033725/config_sample_20260424_033931.toml
@@ -0,0 +1,39 @@
+seed = 0
+parent_dir = "/work/output-SpecializedModels/c20/tabddpm/tabddpm-c20-20260424_033725/output"
+real_data_path = "/work/output-SpecializedModels/c20/tabddpm/tabddpm-c20-20260424_033725/data"
+model_type = "mlp"
+num_numerical_features = 6
+device = "cuda:0"
+
+[model_params]
+d_in = 6
+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 = 35855
+batch_size = 1000
+seed = 0
diff --git a/SynthData0523/main/c20/tabddpm/tabddpm-c20-20260424_033725/data/X_num_train.npy b/SynthData0523/main/c20/tabddpm/tabddpm-c20-20260424_033725/data/X_num_train.npy
new file mode 100644
index 0000000000000000000000000000000000000000..67485ba0c278bb0a47950ff5fcb2daa78a988f6f
--- /dev/null
+++ b/SynthData0523/main/c20/tabddpm/tabddpm-c20-20260424_033725/data/X_num_train.npy
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bd166aa301ba439b2918313e8ab13fd22e49f7bc40bb42326452863f3e2fb7fc
+size 860648
diff --git a/SynthData0523/main/c20/tabddpm/tabddpm-c20-20260424_033725/data/info.json b/SynthData0523/main/c20/tabddpm/tabddpm-c20-20260424_033725/data/info.json
new file mode 100644
index 0000000000000000000000000000000000000000..1e3722aa2a09d6a7bfdff97b71ac3a85667d1d45
--- /dev/null
+++ b/SynthData0523/main/c20/tabddpm/tabddpm-c20-20260424_033725/data/info.json
@@ -0,0 +1,29 @@
+{
+  "name": "benchmark_dataset",
+  "task_type": "multiclass",
+  "n_num_features": 6,
+  "n_cat_features": 0,
+  "train_size": 35855,
+  "num_col_idx": [
+    0,
+    1,
+    2,
+    3,
+    4,
+    5
+  ],
+  "cat_col_idx": [],
+  "target_col_idx": [
+    6
+  ],
+  "column_names": [
+    "white_piece0_strength",
+    "white_piece0_file",
+    "white_piece0_rank",
+    "black_piece0_strength",
+    "black_piece0_file",
+    "black_piece0_rank",
+    "class"
+  ],
+  "num_classes": 3
+}
\ No newline at end of file
diff --git a/SynthData0523/main/c20/tabddpm/tabddpm-c20-20260424_033725/data/y_train.npy b/SynthData0523/main/c20/tabddpm/tabddpm-c20-20260424_033725/data/y_train.npy
new file mode 100644
index 0000000000000000000000000000000000000000..ec1e8a5004e259f31fb09d74105c3cae9d271e28
--- /dev/null
+++ b/SynthData0523/main/c20/tabddpm/tabddpm-c20-20260424_033725/data/y_train.npy
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bf305b376649a86377fac1640c5f151cca5891867fd09b1259e7de016502ebf2
+size 286968
diff --git a/SynthData0523/main/c20/tabddpm/tabddpm-c20-20260424_033725/gen_20260424_033931.log b/SynthData0523/main/c20/tabddpm/tabddpm-c20-20260424_033725/gen_20260424_033931.log
new file mode 100644
index 0000000000000000000000000000000000000000..5ceddd3299b9581b3598243a36b7109c11c7be14
--- /dev/null
+++ b/SynthData0523/main/c20/tabddpm/tabddpm-c20-20260424_033725/gen_20260424_033931.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2d939b02aab7dd7ab8abc6fdf9c1a95f53ebf65e1dc3df3288f95860dbf68f0d
+size 756252
diff --git a/SynthData0523/main/c20/tabddpm/tabddpm-c20-20260424_033725/input_snapshot.json b/SynthData0523/main/c20/tabddpm/tabddpm-c20-20260424_033725/input_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..d9b170e1de3486ebeaf215f5e9967caec8638693
--- /dev/null
+++ b/SynthData0523/main/c20/tabddpm/tabddpm-c20-20260424_033725/input_snapshot.json
@@ -0,0 +1,36 @@
+{
+  "dataset_id": "c20",
+  "model": "tabddpm",
+  "inputs": {
+    "train_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c20/c20-train.csv",
+      "exists": true,
+      "size": 537948,
+      "sha256": "7b491c9989a22d06db0c24422e76bf1d73173a7ba1760d5a3c4e5768c868ac21"
+    },
+    "val_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c20/c20-val.csv",
+      "exists": true,
+      "size": 67338,
+      "sha256": "82d69efb2fbd8ddf6e8d77d9070b3d299f619fded74e2956d3af4b34a9c95a75"
+    },
+    "test_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c20/c20-test.csv",
+      "exists": true,
+      "size": 67368,
+      "sha256": "ab311b2ccc419e2b1423bd27d4079912f464405ef8d37cd87e73ad147ed787ec"
+    },
+    "profile_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c20/c20-dataset_profile.json",
+      "exists": true,
+      "size": 3686,
+      "sha256": "64a935250a31399f41982c61828d40ab90791bab84e8dc6201dbdfa4508092b8"
+    },
+    "contract_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c20/c20-dataset_contract_v1.json",
+      "exists": true,
+      "size": 3867,
+      "sha256": "78c743a19951022e3cbae86814578ff8723146c3d216423edc4b94e1b233ad27"
+    }
+  }
+}
\ No newline at end of file
diff --git a/SynthData0523/main/c20/tabddpm/tabddpm-c20-20260424_033725/output/X_num_train.npy b/SynthData0523/main/c20/tabddpm/tabddpm-c20-20260424_033725/output/X_num_train.npy
new file mode 100644
index 0000000000000000000000000000000000000000..97f3948ee3dbf3f4afc7180c33a569d8a9da67fc
--- /dev/null
+++ b/SynthData0523/main/c20/tabddpm/tabddpm-c20-20260424_033725/output/X_num_train.npy
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d6cc0d94469efaf7e5412406fa682e275b012ff63033a4fb990748b544aafac4
+size 1721168
diff --git a/SynthData0523/main/c20/tabddpm/tabddpm-c20-20260424_033725/output/X_num_unnorm.npy b/SynthData0523/main/c20/tabddpm/tabddpm-c20-20260424_033725/output/X_num_unnorm.npy
new file mode 100644
index 0000000000000000000000000000000000000000..2e08f237e9c39ab742c2cae7ed0effa580468389
--- /dev/null
+++ b/SynthData0523/main/c20/tabddpm/tabddpm-c20-20260424_033725/output/X_num_unnorm.npy
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c26c811d8df52999b0c84ad9a8cc743259f0a6e596569844578284499563a6e4
+size 1721168
diff --git a/SynthData0523/main/c20/tabddpm/tabddpm-c20-20260424_033725/output/config.toml b/SynthData0523/main/c20/tabddpm/tabddpm-c20-20260424_033725/output/config.toml
new file mode 100644
index 0000000000000000000000000000000000000000..8c3bd9623f95b39bf451ce6c0eb01d0ce0066a9f
--- /dev/null
+++ b/SynthData0523/main/c20/tabddpm/tabddpm-c20-20260424_033725/output/config.toml
@@ -0,0 +1,39 @@
+seed = 0
+parent_dir = "/work/output-SpecializedModels/c20/tabddpm/tabddpm-c20-20260424_033725/output"
+real_data_path = "/work/output-SpecializedModels/c20/tabddpm/tabddpm-c20-20260424_033725/data"
+model_type = "mlp"
+num_numerical_features = 6
+device = "cuda:0"
+
+[model_params]
+d_in = 6
+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 = 35855
+batch_size = 1000
+seed = 0
diff --git a/SynthData0523/main/c20/tabddpm/tabddpm-c20-20260424_033725/output/info.json b/SynthData0523/main/c20/tabddpm/tabddpm-c20-20260424_033725/output/info.json
new file mode 100644
index 0000000000000000000000000000000000000000..1e3722aa2a09d6a7bfdff97b71ac3a85667d1d45
--- /dev/null
+++ b/SynthData0523/main/c20/tabddpm/tabddpm-c20-20260424_033725/output/info.json
@@ -0,0 +1,29 @@
+{
+  "name": "benchmark_dataset",
+  "task_type": "multiclass",
+  "n_num_features": 6,
+  "n_cat_features": 0,
+  "train_size": 35855,
+  "num_col_idx": [
+    0,
+    1,
+    2,
+    3,
+    4,
+    5
+  ],
+  "cat_col_idx": [],
+  "target_col_idx": [
+    6
+  ],
+  "column_names": [
+    "white_piece0_strength",
+    "white_piece0_file",
+    "white_piece0_rank",
+    "black_piece0_strength",
+    "black_piece0_file",
+    "black_piece0_rank",
+    "class"
+  ],
+  "num_classes": 3
+}
\ No newline at end of file
diff --git a/SynthData0523/main/c20/tabddpm/tabddpm-c20-20260424_033725/output/loss.csv b/SynthData0523/main/c20/tabddpm/tabddpm-c20-20260424_033725/output/loss.csv
new file mode 100644
index 0000000000000000000000000000000000000000..c36d44ddff3e414ce3e18f94cd8229d975005e88
--- /dev/null
+++ b/SynthData0523/main/c20/tabddpm/tabddpm-c20-20260424_033725/output/loss.csv
@@ -0,0 +1,3 @@
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+size 1257