diff --git a/.gitattributes b/.gitattributes
index 9b4c5a6d8d641c3da25f1a9e2cc4a50c3584856c..ee99a5417be16e77f8c0ad25eb11c54effa3b61a 100644
--- a/.gitattributes
+++ b/.gitattributes
@@ -13312,3 +13312,51 @@ SynthData0523/main/n18/tabpfgen/tabpfgen-n18-20260511_174352/run_config.json fil
 SynthData0523/main/n18/tabpfgen/tabpfgen-n18-20260511_174352/runtime_result.json filter=lfs diff=lfs merge=lfs -text
 SynthData0523/main/n18/tabpfgen/tabpfgen-n18-20260511_174352/staged/public/staged_features.json filter=lfs diff=lfs merge=lfs -text
 SynthData0523/main/n18/tabpfgen/tabpfgen-n18-20260511_174352/staged/public/test.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/n18/tabpfgen/tabpfgen-n18-20260511_174352/staged/public/train.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/n18/tabpfgen/tabpfgen-n18-20260511_174352/staged/public/val.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/n18/tabpfgen/tabpfgen-n18-20260511_174352/staged/tabpfgen/adapter_report.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/n18/tabpfgen/tabpfgen-n18-20260511_174352/staged/tabpfgen/adapter_transforms_applied.json filter=lfs diff=lfs merge=lfs -text
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+SynthData0523/main/n18/tabpfgen/tabpfgen-n18-20260511_174352/tabpfgen_meta.json filter=lfs diff=lfs merge=lfs -text
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diff --git a/SynthData0523/main/n18/tabpfgen/tabpfgen-n18-20260511_174352/staged/public/train.csv b/SynthData0523/main/n18/tabpfgen/tabpfgen-n18-20260511_174352/staged/public/train.csv
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+++ b/SynthData0523/main/n18/tabpfgen/tabpfgen-n18-20260511_174352/staged/public/train.csv
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diff --git a/SynthData0523/main/n18/tabpfgen/tabpfgen-n18-20260511_174352/staged/public/val.csv b/SynthData0523/main/n18/tabpfgen/tabpfgen-n18-20260511_174352/staged/public/val.csv
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diff --git a/SynthData0523/main/n18/tabpfgen/tabpfgen-n18-20260511_174352/staged/tabpfgen/adapter_report.json b/SynthData0523/main/n18/tabpfgen/tabpfgen-n18-20260511_174352/staged/tabpfgen/adapter_report.json
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diff --git a/SynthData0523/main/n18/tabpfgen/tabpfgen-n18-20260511_174352/staged/tabpfgen/adapter_transforms_applied.json b/SynthData0523/main/n18/tabpfgen/tabpfgen-n18-20260511_174352/staged/tabpfgen/adapter_transforms_applied.json
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diff --git a/SynthData0523/main/n18/tabpfgen/tabpfgen-n18-20260511_174352/staged/tabpfgen/model_input_manifest.json b/SynthData0523/main/n18/tabpfgen/tabpfgen-n18-20260511_174352/staged/tabpfgen/model_input_manifest.json
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diff --git a/SynthData0523/main/n18/tabpfgen/tabpfgen-n18-20260511_174352/tabpfgen_meta.json b/SynthData0523/main/n18/tabpfgen/tabpfgen-n18-20260511_174352/tabpfgen_meta.json
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diff --git a/SynthData0523/main/n18/tabpfgen/tabpfgen-n18-20260511_174352/train_20260511_174400.log b/SynthData0523/main/n18/tabpfgen/tabpfgen-n18-20260511_174352/train_20260511_174400.log
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@@ -0,0 +1,3 @@
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diff --git a/SynthData0523/main/n18/tabsyn/tabsyn-n18-20260512_203110/_tabsyn_sample.py b/SynthData0523/main/n18/tabsyn/tabsyn-n18-20260512_203110/_tabsyn_sample.py
new file mode 100644
index 0000000000000000000000000000000000000000..15359a63ea63e604069d371110d5d17d7669795c
--- /dev/null
+++ b/SynthData0523/main/n18/tabsyn/tabsyn-n18-20260512_203110/_tabsyn_sample.py
@@ -0,0 +1,43 @@
+import os, sys, subprocess
+
+work_dir = "/work/output-Benchmark-trainonly-v1/n18/tabsyn/tabsyn-n18-20260512_203110"
+dataname = "tabsyn_n18_tabsyn_n18_20260512_203110"
+output_csv = "/work/output-Benchmark-trainonly-v1/n18/tabsyn/tabsyn-n18-20260512_203110/tabsyn-n18-60800-20260512_204848.csv"
+tabsyn_root = "/workspace/tabsyn"
+
+assert os.path.exists(tabsyn_root), f"TabSyn source not mounted: {tabsyn_root}"
+
+old = os.environ.get("PYTHONPATH", "")
+os.environ["PYTHONPATH"] = tabsyn_root + (os.pathsep + old if old else "")
+sys.path.insert(0, tabsyn_root)
+
+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 60800 rows")
+env = os.environ.copy()
+env.setdefault("TABSYN_RESUME", "0")
+env.setdefault("TABSYN_VAE_BATCH_SIZE", "32")
+env.setdefault("TABSYN_VAE_EVAL_BATCH_SIZE", env["TABSYN_VAE_BATCH_SIZE"])
+env.setdefault("TABSYN_VAE_INFER_BATCH_SIZE", env["TABSYN_VAE_BATCH_SIZE"])
+env.setdefault("TABSYN_VAE_ENCODE_BATCH_SIZE", env["TABSYN_VAE_BATCH_SIZE"])
+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/n18/tabsyn/tabsyn-n18-20260512_203110/_tabsyn_train.py b/SynthData0523/main/n18/tabsyn/tabsyn-n18-20260512_203110/_tabsyn_train.py
new file mode 100644
index 0000000000000000000000000000000000000000..a6b77f0cf941a8fd2688983b41a94ff4f87e09b3
--- /dev/null
+++ b/SynthData0523/main/n18/tabsyn/tabsyn-n18-20260512_203110/_tabsyn_train.py
@@ -0,0 +1,69 @@
+import os, sys, subprocess
+
+work_dir = "/work/output-Benchmark-trainonly-v1/n18/tabsyn/tabsyn-n18-20260512_203110"
+dataname = "tabsyn_n18_tabsyn_n18_20260512_203110"
+tabsyn_root = "/workspace/tabsyn"
+
+assert os.path.exists(tabsyn_root), f"TabSyn source not mounted: {tabsyn_root}"
+
+old = os.environ.get("PYTHONPATH", "")
+os.environ["PYTHONPATH"] = tabsyn_root + (os.pathsep + old if old else "")
+sys.path.insert(0, tabsyn_root)
+
+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()
+env.setdefault("TABSYN_RESUME", "0")
+env.setdefault("TABSYN_VAE_BATCH_SIZE", "32")
+env.setdefault("TABSYN_VAE_NUM_WORKERS", "0")
+env.setdefault("TABSYN_VAE_EVAL_BATCH_SIZE", env["TABSYN_VAE_BATCH_SIZE"])
+env.setdefault("TABSYN_VAE_INFER_BATCH_SIZE", env["TABSYN_VAE_BATCH_SIZE"])
+env.setdefault("TABSYN_VAE_ENCODE_BATCH_SIZE", env["TABSYN_VAE_BATCH_SIZE"])
+# Safer defaults for wide tables on Docker: reduce shared-memory pressure in diffusion DataLoader.
+env.setdefault("TABSYN_DIFFUSION_NUM_WORKERS", "0")
+_te = None
+if _te is not None:
+    env["TABSYN_VAE_EPOCHS"] = str(_te)
+    env["TABSYN_DIFFUSION_MAX_EPOCHS"] = str(max(_te + 1, 2))
+
+# 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/n18/tabsyn/tabsyn-n18-20260512_203110/data/tabsyn_n18_tabsyn_n18_20260512_203110/X_cat_test.npy b/SynthData0523/main/n18/tabsyn/tabsyn-n18-20260512_203110/data/tabsyn_n18_tabsyn_n18_20260512_203110/X_cat_test.npy
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--- /dev/null
+++ b/SynthData0523/main/n18/tabsyn/tabsyn-n18-20260512_203110/data/tabsyn_n18_tabsyn_n18_20260512_203110/X_cat_test.npy
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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diff --git a/SynthData0523/main/n18/tabsyn/tabsyn-n18-20260512_203110/data/tabsyn_n18_tabsyn_n18_20260512_203110/X_cat_train.npy b/SynthData0523/main/n18/tabsyn/tabsyn-n18-20260512_203110/data/tabsyn_n18_tabsyn_n18_20260512_203110/X_cat_train.npy
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index 0000000000000000000000000000000000000000..0e804a03de92bf9a0dc1bd09406b96564b97cf26
--- /dev/null
+++ b/SynthData0523/main/n18/tabsyn/tabsyn-n18-20260512_203110/tabsyn_ckpt/vae/tabsyn_n18_tabsyn_n18_20260512_203110/model.pt
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diff --git a/SynthData0523/main/n18/tabsyn/tabsyn-n18-20260512_203110/tabsyn_ckpt/vae/tabsyn_n18_tabsyn_n18_20260512_203110/train_z.npy b/SynthData0523/main/n18/tabsyn/tabsyn-n18-20260512_203110/tabsyn_ckpt/vae/tabsyn_n18_tabsyn_n18_20260512_203110/train_z.npy
new file mode 100644
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diff --git a/SynthData0523/main/n18/tabsyn/tabsyn-n18-20260512_203110/train_20260512_203137.log b/SynthData0523/main/n18/tabsyn/tabsyn-n18-20260512_203110/train_20260512_203137.log
new file mode 100644
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--- /dev/null
+++ b/SynthData0523/main/n18/tabsyn/tabsyn-n18-20260512_203110/train_20260512_203137.log
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+version https://git-lfs.github.com/spec/v1
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diff --git a/SynthData0523/main/n18/tvae/tvae-n18-20260424_055213/_tvae_generate.py b/SynthData0523/main/n18/tvae/tvae-n18-20260424_055213/_tvae_generate.py
new file mode 100644
index 0000000000000000000000000000000000000000..c879b1e8134e1cef179717c46167e0f52ae4d1d2
--- /dev/null
+++ b/SynthData0523/main/n18/tvae/tvae-n18-20260424_055213/_tvae_generate.py
@@ -0,0 +1,21 @@
+import os, sys
+sys.path.insert(0, "/work")
+from src.SpecificModels.ctgan_rdt_inverse_fix import apply_ctgan_inverse_fix
+apply_ctgan_inverse_fix()
+import pandas as pd
+from ctgan.synthesizers.tvae import TVAE
+os.environ.setdefault("LOKY_MAX_CPU_COUNT", "8")
+os.environ.setdefault("OPENBLAS_NUM_THREADS", "8")
+os.environ.setdefault("MKL_NUM_THREADS", "8")
+model = TVAE.load("/work/output-SpecializedModels/n18/tvae/tvae-n18-20260424_055213/models_300epochs/tvae_300epochs.pt")
+total = 60800
+chunk = min(50000, total) if total > 50000 else total
+parts = []
+left = total
+while left > 0:
+    take = min(chunk, left)
+    parts.append(model.sample(take))
+    left -= take
+samples = pd.concat(parts, ignore_index=True) if len(parts) > 1 else parts[0]
+samples.to_csv("/work/output-SpecializedModels/n18/tvae/tvae-n18-20260424_055213/tvae-n18-60800-20260424_070106.csv", index=False)
+print(f"[TVAE] Generated {total} rows (chunks={len(parts)}) -> /work/output-SpecializedModels/n18/tvae/tvae-n18-20260424_055213/tvae-n18-60800-20260424_070106.csv")
diff --git a/SynthData0523/main/n18/tvae/tvae-n18-20260424_055213/_tvae_train.py b/SynthData0523/main/n18/tvae/tvae-n18-20260424_055213/_tvae_train.py
new file mode 100644
index 0000000000000000000000000000000000000000..d194d636860ac340dafacdd0342cbaa7c7b0a793
--- /dev/null
+++ b/SynthData0523/main/n18/tvae/tvae-n18-20260424_055213/_tvae_train.py
@@ -0,0 +1,21 @@
+import json, os, sys
+import pandas as pd
+from ctgan.data import read_csv
+from ctgan.synthesizers.tvae import TVAE
+
+# Keep transform stage parallelism bounded for stability on shared host.
+os.environ.setdefault("LOKY_MAX_CPU_COUNT", "8")
+os.environ.setdefault("OPENBLAS_NUM_THREADS", "8")
+os.environ.setdefault("MKL_NUM_THREADS", "8")
+
+csv_path = "/work/output-SpecializedModels/n18/tvae/tvae-n18-20260424_055213/staged/public/train.csv"
+meta_path = "/work/output-SpecializedModels/n18/tvae/tvae-n18-20260424_055213/tvae_metadata.json"
+save_path = "/work/output-SpecializedModels/n18/tvae/tvae-n18-20260424_055213/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/n18/tvae/tvae-n18-20260424_055213/gen_20260424_070106.log b/SynthData0523/main/n18/tvae/tvae-n18-20260424_055213/gen_20260424_070106.log
new file mode 100644
index 0000000000000000000000000000000000000000..9df420e807704a6327be7b43f80ffb0d367c999e
--- /dev/null
+++ b/SynthData0523/main/n18/tvae/tvae-n18-20260424_055213/gen_20260424_070106.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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+size 142
diff --git a/SynthData0523/main/n18/tvae/tvae-n18-20260424_055213/input_snapshot.json b/SynthData0523/main/n18/tvae/tvae-n18-20260424_055213/input_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..dca9d7fd979052d419dfbf6e66852a0a413c244a
--- /dev/null
+++ b/SynthData0523/main/n18/tvae/tvae-n18-20260424_055213/input_snapshot.json
@@ -0,0 +1,36 @@
+{
+  "dataset_id": "n18",
+  "model": "tvae",
+  "inputs": {
+    "train_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/n18/n18-train.csv",
+      "exists": true,
+      "size": 43546804,
+      "sha256": "9fe631ab9b0a3e358958940bc941091f78d50a4be42dbc27bada9ac381f79a22"
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+      "exists": true,
+      "size": 5451301,
+      "sha256": "bfa2c19dd55d129999f8bd416d752bd3f27534e96e64e3470db882c46e0bebb3"
+    },
+    "test_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/n18/n18-test.csv",
+      "exists": true,
+      "size": 5456707,
+      "sha256": "f55b07dcf84260883a57d80bad1f14f4ae16c9129048c13ed6816c5ffe7f4176"
+    },
+    "profile_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/n18/n18-dataset_profile.json",
+      "exists": true,
+      "size": 62077,
+      "sha256": "5dfda6a9673ce8e970b607e1c6eb8ba52f2cc61f2baeb4e915d6d3f58a1c3524"
+    },
+    "contract_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/n18/n18-dataset_contract_v1.json",
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+      "size": 84071,
+      "sha256": "450559cfe489a1776130310b2afe2fc8e69e57522c5f146a364cb706374bdf32"
+    }
+  }
+}
\ No newline at end of file
diff --git a/SynthData0523/main/n18/tvae/tvae-n18-20260424_055213/models_300epochs/train_20260424_055223.log b/SynthData0523/main/n18/tvae/tvae-n18-20260424_055213/models_300epochs/train_20260424_055223.log
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+++ b/SynthData0523/main/n18/tvae/tvae-n18-20260424_055213/models_300epochs/tvae_300epochs.pt
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diff --git a/SynthData0523/main/n18/tvae/tvae-n18-20260424_055213/public_gate/normalized_schema_snapshot.json b/SynthData0523/main/n18/tvae/tvae-n18-20260424_055213/public_gate/normalized_schema_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..eca1c35ae343983e92283d2fbeba8846ed443e52
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+++ b/SynthData0523/main/n18/tvae/tvae-n18-20260424_055213/public_gate/normalized_schema_snapshot.json
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diff --git a/SynthData0523/main/n18/tvae/tvae-n18-20260424_055213/public_gate/public_gate_report.json b/SynthData0523/main/n18/tvae/tvae-n18-20260424_055213/public_gate/public_gate_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..473f57a1ff4081e59b969c13f333e6f882f9f92a
--- /dev/null
+++ b/SynthData0523/main/n18/tvae/tvae-n18-20260424_055213/public_gate/public_gate_report.json
@@ -0,0 +1,37 @@
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+    "test": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/n18/n18-test.csv"
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diff --git a/SynthData0523/main/n18/tvae/tvae-n18-20260424_055213/public_gate/staged_input_manifest.json b/SynthData0523/main/n18/tvae/tvae-n18-20260424_055213/public_gate/staged_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..e259f692d6d183d73b9ba5a63b11be9b23121b28
--- /dev/null
+++ b/SynthData0523/main/n18/tvae/tvae-n18-20260424_055213/public_gate/staged_input_manifest.json
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new file mode 100644
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--- /dev/null
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\ No newline at end of file
diff --git a/SynthData0523/main/n18/tvae/tvae-n18-20260424_055213/staged/public/staged_features.json b/SynthData0523/main/n18/tvae/tvae-n18-20260424_055213/staged/public/staged_features.json
new file mode 100644
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