Add syntheticFail n1

syntheticFail/n1/tabbyflow/tabbyflow-n1-20260510_202554/_tabbyflow_train.py

@@ -0,0 +1,24 @@
+
+import os, shutil, subprocess, sys
+root = r"/workspace/ef-vfm"
+name = r"pipeline_n1"
+src = r"/work/output-Benchmark-trainonly-v1/n1/tabbyflow/tabbyflow-n1-20260510_202554/tabular_bundle/pipeline_n1"
+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"] = "100"
+os.environ["EFVFM_ADAPTER_TRAIN"] = "1"
+os.environ.setdefault("EFVFM_SAMPLE_BATCH_SIZE", "128")
+os.environ.setdefault("EFVFM_EVAL_NUM_SAMPLES", "512")
+subprocess.check_call([
+    sys.executable, "main.py",
+    "--dataname", name, "--mode", "train", "--gpu", "0",
+    "--no_wandb", "--exp_name", r"adapter_efvfm",
+])

syntheticFail/n1/tabbyflow/tabbyflow-n1-20260510_202554/input_snapshot.json

@@ -0,0 +1,36 @@
+{
+  "dataset_id": "n1",
+  "model": "tabbyflow",
+  "inputs": {
+    "train_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/n1/n1-train.csv",
+      "exists": true,
+      "size": 563021,
+      "sha256": "e603fe5195edac0e926f63b398fd1af936766c1b502b300341a478e70aef4df5"
+    },
+    "val_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/n1/n1-val.csv",
+      "exists": true,
+      "size": 71100,
+      "sha256": "29ec664376ba652ee157545c9afe81d1afa054e30a554bc50ab2ebf1c52cef83"
+    },
+    "test_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/n1/n1-test.csv",
+      "exists": true,
+      "size": 71605,
+      "sha256": "2696873d18a2f693dc4b08f1c30f34a30cf96f1195790479ab8947fee8bc35ef"
+    },
+    "profile_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/n1/n1-dataset_profile.json",
+      "exists": true,
+      "size": 21967,
+      "sha256": "62128c1a7c75e9b7c23136d477b5795a9477bc710734776bd4a1378d3d81dc33"
+    },
+    "contract_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/n1/n1-dataset_contract_v1.json",
+      "exists": true,
+      "size": 27866,
+      "sha256": "cf9ef940957593e898ef55899808bb02267775fdad024ec6bf75793ef28b7ba1"
+    }
+  }
+}

syntheticFail/n1/tabbyflow/tabbyflow-n1-20260510_202554/public_gate/normalized_schema_snapshot.json

@@ -0,0 +1,1222 @@
+{
+  "dataset_id": "n1",
+  "target_column": "class",
+  "task_type": "classification",
+  "columns": [
+    {
+      "name": "word_freq_make",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
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+        "example_values": [
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+          "0.16",
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+        ]
+      }
+    },
+    {
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+      "role": "feature",
+      "semantic_type": "numeric",
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+        ]
+      }
+    },
+    {
+      "name": "word_freq_all",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
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+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
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+          "0.32",
+          "0.41",
+          "1.24"
+        ]
+      }
+    },
+    {
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+      "role": "feature",
+      "semantic_type": "boolean",
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+      "missing_tokens": [],
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+      "impute_strategy": "mode",
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+    },
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+      "role": "feature",
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+          "0.24",
+          "0.58",
+          "0.2"
+        ]
+      }
+    },
+    {
+      "name": "word_freq_remove",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
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+          "0.62",
+          "0.16"
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+      }
+    },
+    {
+      "name": "word_freq_internet",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
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+          "0.33",
+          "0.1",
+          "0.88"
+        ]
+      }
+    },
+    {
+      "name": "word_freq_order",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
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+        "unique_ratio": 0.035326,
+        "example_values": [
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+          "0.66",
+          "1.43",
+          "0.03",
+          "0.3"
+        ]
+      }
+    },
+    {
+      "name": "word_freq_mail",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
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+          "1.96",
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+        ]
+      }
+    },
+    {
+      "name": "word_freq_receive",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
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+      "impute_strategy": "median",
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+      "role": "feature",
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+      "nullable": false,
+      "missing_tokens": [],
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+        ]
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+      "role": "feature",
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+      "nullable": false,
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+          "0.2",
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+      "role": "feature",
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+      "role": "feature",
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+      "role": "feature",
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+      "role": "feature",
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+      "nullable": false,
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+      "impute_strategy": "median",
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+        ]
+      }
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+      "role": "feature",
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+          "0.09",
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+      "role": "feature",
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+      "impute_strategy": "median",
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+          "0.52",
+          "5.45"
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+    },
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+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
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+    },
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+      "role": "feature",
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+      }
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+      "role": "feature",
+      "semantic_type": "numeric",
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+    },
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+      "role": "feature",
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syntheticFail/n1/tabbyflow/tabbyflow-n1-20260510_202554/public_gate/public_gate_report.json

@@ -0,0 +1,37 @@
+{
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+    },
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+    {
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+      "status": "pass"
+    },
+    {
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+      "status": "pass"
+    }
+  ],
+  "target_column": "class",
+  "task_type": "classification",
+  "input_splits": {
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+    "val": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/n1/n1-val.csv",
+    "test": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/n1/n1-test.csv"
+  }
+}

syntheticFail/n1/tabbyflow/tabbyflow-n1-20260510_202554/public_gate/staged_input_manifest.json

@@ -0,0 +1,1227 @@
+{
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+  "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/n1/tabbyflow/tabbyflow-n1-20260510_202554/public_gate/public_gate_report.json",
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syntheticFail/n1/tabbyflow/tabbyflow-n1-20260510_202554/run_config.json

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+  "recorded_at": "2026-05-10T20:25:54",
+  "dataset_id": "n1",
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+}

syntheticFail/n1/tabbyflow/tabbyflow-n1-20260510_202554/runtime_result.json

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+  "model": "tabbyflow",
+  "run_id": "tabbyflow-n1-20260510_202554",
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+}

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