Upload imported n8/tabpfgen synthetic run

syntheticSuccess/n8/tabpfgen/tabpfgen-n8-20260318_060028/gen_20260318_060028.log

@@ -0,0 +1,29 @@
+
+==========
+== CUDA ==
+==========
+
+CUDA Version 12.8.1
+
+Container image Copyright (c) 2016-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+
+This container image and its contents are governed by the NVIDIA Deep Learning Container License.
+By pulling and using the container, you accept the terms and conditions of this license:
+https://developer.nvidia.com/ngc/nvidia-deep-learning-container-license
+
+A copy of this license is made available in this container at /NGC-DL-CONTAINER-LICENSE for your convenience.
+
+[TabPFGen] Label-encoded 'label_2' (82 categories)
+[TabPFGen] Label-encoded 'label_3' (821 categories)
+[TabPFGen] Generating 1253 rows via generate_regression
+Step 0/1000
+Step 100/1000
+Step 200/1000
+Step 300/1000
+Step 400/1000
+Step 500/1000
+Step 600/1000
+Step 700/1000
+Step 800/1000
+Step 900/1000
+[TabPFGen] Saved 1250 rows -> /work/output-SpecializedModels/n8/tabpfgen/tabpfgen-n8-20260318_060028/tabpfgen-n8-1253-20260318_060028.csv

syntheticSuccess/n8/tabpfgen/tabpfgen-n8-20260318_060028/runtime_result.json

@@ -0,0 +1,22 @@
+{
+  "dataset_id": "n8",
+  "model": "tabpfgen",
+  "run_id": "tabpfgen-n8-20260318_060028",
+  "public_gate_status": "legacy_import",
+  "adapter_ready_status": "legacy_import",
+  "train_status": "success",
+  "generate_status": "success",
+  "reason_code": null,
+  "reason_detail": "Imported into TabQueryBench authoritative main during missing-coverage patch 2026-05-20",
+  "artifacts": {
+    "synthetic_csv": "/data/jialinzhang/TabQueryBench/SynDataSuccess/main/n8/tabpfgen/tabpfgen-n8-20260318_060028/tabpfgen-n8-1253-20260318_060028.csv"
+  },
+  "timings": {
+    "train": {
+      "duration_sec": 0.0
+    },
+    "generate": {
+      "duration_sec": 39.0
+    }
+  }
+}

syntheticSuccess/n8/tabpfgen/tabpfgen-n8-20260318_060028/source_import_manifest.json

@@ -0,0 +1,16 @@
+{
+  "imported_at_utc": "2026-05-20T17:36:24.306567+00:00",
+  "source_run_dir": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/n8/tabpfgen/tabpfgen-n8-20260318_060028",
+  "target_run_dir": "/data/jialinzhang/TabQueryBench/SynDataSuccess/main/n8/tabpfgen/tabpfgen-n8-20260318_060028",
+  "dataset_id": "n8",
+  "model_id": "tabpfgen",
+  "synthetic_csv": "tabpfgen-n8-1253-20260318_060028.csv",
+  "copied_files": [
+    "gen_20260318_060028.log",
+    "runtime_result.json",
+    "tabpfgen-n8-1253-20260318_060028.csv",
+    "tabpfgen_meta.json",
+    "train_20260318_060028.log"
+  ],
+  "import_reason": "fill official SQL score coverage gap"
+}

syntheticSuccess/n8/tabpfgen/tabpfgen-n8-20260318_060028/tabpfgen_meta.json

@@ -0,0 +1,8 @@
+{
+  "csv_path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/n8/n8-train.csv",
+  "json_path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/n8/n8-dataset_profile.json",
+  "target_col": "label_1",
+  "is_classification": false,
+  "n_rows": 1253,
+  "n_cols": 593
+}

syntheticSuccess/n8/tabpfgen/tabpfgen-n8-20260318_060028/train_20260318_060028.log

@@ -0,0 +1 @@
+[TabPFGen] No training needed (pretrained). Meta saved to /data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/n8/tabpfgen/tabpfgen-n8-20260318_060028/tabpfgen_meta.json