Add syntheticFail m5

syntheticFail/m5/tabdiff/tabdiff-m5-20260510_071943/_tabdiff_train.py

@@ -0,0 +1,28 @@
+
+import os, shutil, subprocess, sys
+td = r"/workspace/TabDiff"
+name = r"pipeline_m5"
+src = r"/work/output-Benchmark-trainonly-v1/m5/tabdiff/tabdiff-m5-20260510_071943/tabular_bundle/pipeline_m5"
+dst_data = os.path.join(td, "data", name)
+dst_syn = os.path.join(td, "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(td)
+os.environ["PYTHONPATH"] = td + os.pathsep + os.environ.get("PYTHONPATH", "")
+os.environ["TABDIFF_SMOKE_STEPS"] = "200"
+os.environ["TABDIFF_STEPS"] = "200"
+os.environ["TABDIFF_BATCH_SIZE"] = "256"
+os.environ["TABDIFF_TRAIN_BATCH_SIZE"] = "256"
+os.environ["TABDIFF_LR"] = "0.0005"
+os.environ["TABDIFF_LEARNING_RATE"] = "0.0005"
+os.environ["TABDIFF_NUM_TIMESTEPS"] = "50"
+os.environ["TABDIFF_TIMESTEPS"] = "50"
+os.environ["TABDIFF_ADAPTER_TRAIN"] = "1"
+subprocess.check_call([
+    sys.executable, "-m", "tabdiff.main",
+    "--dataname", name, "--mode", "train", "--gpu", "0",
+    "--no_wandb", "--exp_name", r"adapter_learnable",
+])

syntheticFail/m5/tabdiff/tabdiff-m5-20260510_071943/input_snapshot.json

@@ -0,0 +1,36 @@
+{
+  "dataset_id": "m5",
+  "model": "tabdiff",
+  "inputs": {
+    "train_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m5/m5-train.csv",
+      "exists": true,
+      "size": 422717,
+      "sha256": "012f009ed84b309df0bf0da0669101c48652c390666cb59f9a07341a16b7056f"
+    },
+    "val_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m5/m5-val.csv",
+      "exists": true,
+      "size": 53889,
+      "sha256": "b9b623a7cea9350fc17384754b26aba373ab6c1914b7c0efb7a8a21ad5ac1557"
+    },
+    "test_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m5/m5-test.csv",
+      "exists": true,
+      "size": 53943,
+      "sha256": "696cfc46d2e611ee56a5419f4496b758f643f49f3386d4181296783760117c8c"
+    },
+    "profile_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/m5/m5-dataset_profile.json",
+      "exists": true,
+      "size": 14974,
+      "sha256": "6ca9a300883081c4197534dd44e5e37df852ef129b5c06666629d8dd8270af0d"
+    },
+    "contract_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/m5/m5-dataset_contract_v1.json",
+      "exists": true,
+      "size": 17696,
+      "sha256": "d5ce8aae5a21071b4e1af75dcdf7fa3118c7b487163ad0c8244ecc33d08d7c89"
+    }
+  }
+}

syntheticFail/m5/tabdiff/tabdiff-m5-20260510_071943/public_gate/normalized_schema_snapshot.json

@@ -0,0 +1,758 @@
+{
+  "dataset_id": "m5",
+  "target_column": "Target",
+  "task_type": "classification",
+  "columns": [
+    {
+      "name": "Marital status",
+      "role": "feature",
+      "semantic_type": "numeric",
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+    },
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+      "impute_strategy": "median",
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+    },
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+      "role": "feature",
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+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
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+      }
+    },
+    {
+      "name": "Course",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
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+      "role": "feature",
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+      "role": "feature",
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+      "role": "feature",
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+      "missing_tokens": [],
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+      "impute_strategy": "median",
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+      "role": "feature",
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+      "impute_strategy": "median",
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+      "role": "feature",
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+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
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+      "missing_tokens": [],
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+      "impute_strategy": "mode",
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+      "role": "feature",
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+      "role": "feature",
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syntheticFail/m5/tabdiff/tabdiff-m5-20260510_071943/public_gate/public_gate_report.json

@@ -0,0 +1,37 @@
+{
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+  "input_splits": {
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+    "val": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m5/m5-val.csv",
+    "test": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m5/m5-test.csv"
+  }
+}

syntheticFail/m5/tabdiff/tabdiff-m5-20260510_071943/public_gate/staged_input_manifest.json

@@ -0,0 +1,763 @@
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+  "recorded_at": "2026-05-10T07:19:43",
+  "dataset_id": "m5",
+  "model": "tabdiff",
+  "work_dir": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m5/tabdiff/tabdiff-m5-20260510_071943",
+  "dataset_source_requested": "new",
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+    "output_csv": null
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+    "public_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m5/tabdiff/tabdiff-m5-20260510_071943/public_gate/staged_input_manifest.json",
+    "model_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m5/tabdiff/tabdiff-m5-20260510_071943/staged/tabdiff/model_input_manifest.json",
+    "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m5/tabdiff/tabdiff-m5-20260510_071943/staged/public/train.csv",
+    "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m5/tabdiff/tabdiff-m5-20260510_071943/staged/public/staged_features.json",
+    "target_column": "Target",
+    "task_type": "classification"
+  },
+  "env_overrides": {
+    "BENCHMARK_TABDIFF_GPUS": "device=0",
+    "TABDIFF_BATCH_SIZE": "256",
+    "TABDIFF_LR": "0.0005",
+    "TABDIFF_NUM_TIMESTEPS": "50",
+    "TABDIFF_STEPS": "200"
+  }
+}

syntheticFail/m5/tabdiff/tabdiff-m5-20260510_071943/runtime_result.json

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+{
+  "dataset_id": "m5",
+  "model": "tabdiff",
+  "run_id": "tabdiff-m5-20260510_071943",
+  "public_gate_status": "pass",
+  "adapter_ready_status": "pass",
+  "train_status": "fail",
+  "generate_status": "skipped",
+  "reason_code": "adapter_runtime_error",
+  "reason_detail": "Command '['docker', 'run', '--rm', '--init', '--user', '1005:1005', '-e', 'HOME=/work/.home', '--cidfile', '/tmp/bench_docker_tabdiff_r9339b0i/container.cid', '--gpus', 'device=0', '-e', 'WANDB_MODE=disabled', '-e', 'PYTHONUNBUFFERED=1', '-v', '/data/jialinzhang/SynthesizePipeline-server:/work', '-w', '/work', '-v', '/data/jialinzhang/synthetic_benchmark/third_party/TabDiff:/workspace/TabDiff', 'benchmark:tabdiff-tabbyflow-zjl', 'python', '/work/output-Benchmark-trainonly-v1/m5/tabdiff/tabdiff-m5-20260510_071943/_tabdiff_train.py']' returned non-zero exit status 1.",
+  "artifacts": {},
+  "timings": {
+    "train": {
+      "started_at": "2026-05-10T07:19:43",
+      "ended_at": "2026-05-10T07:19:44",
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+}

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syntheticFail/m5/tabdiff/tabdiff-m5-20260510_162433/public_gate/public_gate_report.json

@@ -0,0 +1,37 @@
+{
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+    "val": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m5/m5-val.csv",
+    "test": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m5/m5-test.csv"
+  }
+}

syntheticFail/m5/tabdiff/tabdiff-m5-20260510_162433/public_gate/staged_input_manifest.json

@@ -0,0 +1,763 @@
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