diff --git a/syntheticFail/c2/arf/arf-c2-20260504_204543/_arf_train.py b/syntheticFail/c2/arf/arf-c2-20260504_204543/_arf_train.py new file mode 100644 index 0000000000000000000000000000000000000000..7346189bbb144f2101774f7acf469e501e206573 --- /dev/null +++ b/syntheticFail/c2/arf/arf-c2-20260504_204543/_arf_train.py @@ -0,0 +1,46 @@ +import pickle +import numpy as np +import pandas as pd +from arfpy import arf + +def _sanitize_for_arf(df: pd.DataFrame) -> pd.DataFrame: + """缓解 forge 阶段 scipy.stats.truncnorm / 除零:处理 inf、NaN 与极端尾部。""" + df = df.replace([np.inf, -np.inf], np.nan) + df = df.dropna(axis=1, how="all") + for col in df.select_dtypes(include=[np.number]).columns: + med = df[col].median() + if pd.isna(med): + med = 0.0 + df[col] = df[col].fillna(med) + nu = int(df[col].nunique(dropna=True)) + if nu <= 1: + continue + q_low = float(os.environ.get("ARF_CLIP_QUANTILE_LOW", "0.001")) + q_high = float(os.environ.get("ARF_CLIP_QUANTILE_HIGH", "0.999")) + lo, hi = df[col].quantile(q_low), df[col].quantile(q_high) + if pd.notna(lo) and pd.notna(hi) and lo < hi: + df[col] = df[col].clip(lo, hi) + return df + +df = pd.read_csv("/work/output-Benchmark-trainonly-v1/c2/arf/arf-c2-20260504_204543/staged/public/train.csv") +df = _sanitize_for_arf(df) +num_trees = int(os.environ.get("ARF_NUM_TREES", "30")) +delta = float(os.environ.get("ARF_DELTA", "0")) +max_iters = int(os.environ.get("ARF_MAX_ITERS", "10")) +early_stop = (os.environ.get("ARF_EARLY_STOP", "true").strip().lower() in ("1", "true", "yes")) +verbose = (os.environ.get("ARF_VERBOSE", "true").strip().lower() in ("1", "true", "yes")) +min_node_size = int(os.environ.get("ARF_MIN_NODE_SIZE", "5")) +print(f"[ARF] Training on {len(df)} rows, {len(df.columns)} cols") +print(f"[ARF] Config num_trees={num_trees} delta={delta} max_iters={max_iters} early_stop={early_stop} min_node_size={min_node_size}") + +model = arf.arf(x=df, num_trees=num_trees, delta=delta, max_iters=max_iters, early_stop=early_stop, verbose=verbose, min_node_size=min_node_size) +if hasattr(model, "fit"): + model.fit() +elif hasattr(model, "forde"): + model.forde() +else: + raise RuntimeError("arfpy API: no fit() / forde()") + +with open("/work/output-Benchmark-trainonly-v1/c2/arf/arf-c2-20260504_204543/arf_model.pkl", "wb") as f: + pickle.dump(model, f) +print(f"[ARF] Model saved -> /work/output-Benchmark-trainonly-v1/c2/arf/arf-c2-20260504_204543/arf_model.pkl") diff --git a/syntheticFail/c2/arf/arf-c2-20260504_204543/input_snapshot.json b/syntheticFail/c2/arf/arf-c2-20260504_204543/input_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..5fa654607f22f68d2aaa5e57809017787b5eb02b --- /dev/null +++ b/syntheticFail/c2/arf/arf-c2-20260504_204543/input_snapshot.json @@ -0,0 +1,36 @@ +{ + "dataset_id": "c2", + "model": "arf", + "inputs": { + "train_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c2/c2-train.csv", + "exists": true, + "size": 42948, + "sha256": "17bc560fa96bd00fb3b526e1e65bc91210b701d0d0a4e8bb9b4c5196cab56def" + }, + "val_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c2/c2-val.csv", + "exists": true, + "size": 5349, + "sha256": "61e565eca62e65a7dccd9d51039a3170413379e10fc494e25870e7c4294863c9" + }, + "test_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c2/c2-test.csv", + "exists": true, + "size": 5448, + "sha256": "cbcbb062a1faf5fa44b66c80532baa229e05b94fc42137269761e6c6d84af20a" + }, + "profile_json": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c2/c2-dataset_profile.json", + "exists": true, + "size": 3240, + "sha256": "526b7163b2076c93c0bf4638438081ee8a6907065d5b608faa40d1a3dbc2a27b" + }, + "contract_json": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c2/c2-dataset_contract_v1.json", + "exists": true, + "size": 3731, + "sha256": "fb595a876054c2ee9b4e10cfe83a5691588de1d25466cbb9d473c18ad3604009" + } + } +} \ No newline at end of file diff --git a/syntheticFail/c2/arf/arf-c2-20260504_204543/public_gate/normalized_schema_snapshot.json b/syntheticFail/c2/arf/arf-c2-20260504_204543/public_gate/normalized_schema_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..689b1d00d96508e44ba40e58dc4560e19afc2b3b --- /dev/null +++ b/syntheticFail/c2/arf/arf-c2-20260504_204543/public_gate/normalized_schema_snapshot.json @@ -0,0 +1,144 @@ +{ + "dataset_id": "c2", + "target_column": "class", + "task_type": "classification", + "columns": [ + { + "name": "buying", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 4, + "unique_ratio": 0.002894, + "example_values": [ + "vhigh", + "med", + "high", + "low" + ] + } + }, + { + "name": "maint", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 4, + "unique_ratio": 0.002894, + "example_values": [ + "vhigh", + "low", + "med", + "high" + ] + } + }, + { + "name": "doors", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 4, + "unique_ratio": 0.002894, + "example_values": [ + "2", + "5more", + "3", + "4" + ] + } + }, + { + "name": "persons", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 3, + "unique_ratio": 0.002171, + "example_values": [ + "2", + "4", + "more" + ] + } + }, + { + "name": "lug_boot", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 3, + "unique_ratio": 0.002171, + "example_values": [ + "small", + "big", + "med" + ] + } + }, + { + "name": "safety", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 3, + "unique_ratio": 0.002171, + "example_values": [ + "low", + "high", + "med" + ] + } + }, + { + "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": 4, + "unique_ratio": 0.002894, + "example_values": [ + "unacc", + "good", + "acc", + "vgood" + ] + } + } + ] +} \ No newline at end of file diff --git a/syntheticFail/c2/arf/arf-c2-20260504_204543/public_gate/public_gate_report.json b/syntheticFail/c2/arf/arf-c2-20260504_204543/public_gate/public_gate_report.json new file mode 100644 index 0000000000000000000000000000000000000000..2e4cdcb2a4e28e40d59b17a83e773f622b7636a5 --- /dev/null +++ b/syntheticFail/c2/arf/arf-c2-20260504_204543/public_gate/public_gate_report.json @@ -0,0 +1,37 @@ +{ + "dataset_id": "c2", + "status": "pass", + "checks": [ + { + "check_id": "PG001_csv_parse_ok", + "status": "pass" + }, + { + "check_id": "PG002_split_header_consistent", + "status": "pass" + }, + { + "check_id": "PG003_profile_header_match", + "status": "pass" + }, + { + "check_id": "PG004_missing_token_normalized", + "status": "pass" + }, + { + "check_id": "PG005_semantic_type_validated", + "status": "pass" + }, + { + "check_id": "PG006_target_defined_and_valid", + "status": "pass" + } + ], + "target_column": "class", + "task_type": "classification", + "input_splits": { + "train": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c2/c2-train.csv", + "val": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c2/c2-val.csv", + "test": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c2/c2-test.csv" + } +} \ No newline at end of file diff --git a/syntheticFail/c2/arf/arf-c2-20260504_204543/public_gate/staged_input_manifest.json b/syntheticFail/c2/arf/arf-c2-20260504_204543/public_gate/staged_input_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..26342d84a73372b1b963c4dfc7611f676bfb3e32 --- /dev/null +++ b/syntheticFail/c2/arf/arf-c2-20260504_204543/public_gate/staged_input_manifest.json @@ -0,0 +1,149 @@ +{ + "dataset_id": "c2", + "target_column": "class", + "task_type": "classification", + "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/arf/arf-c2-20260504_204543/staged/public/train.csv", + "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/arf/arf-c2-20260504_204543/staged/public/val.csv", + "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/arf/arf-c2-20260504_204543/staged/public/test.csv", + "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/arf/arf-c2-20260504_204543/staged/public/staged_features.json", + "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/arf/arf-c2-20260504_204543/public_gate/public_gate_report.json", + "column_schema": [ + { + "name": "buying", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 4, + "unique_ratio": 0.002894, + "example_values": [ + "vhigh", + "med", + "high", + "low" + ] + } + }, + { + "name": "maint", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 4, + "unique_ratio": 0.002894, + "example_values": [ + "vhigh", + "low", + "med", + "high" + ] + } + }, + { + "name": "doors", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 4, + "unique_ratio": 0.002894, + "example_values": [ + "2", + "5more", + "3", + "4" + ] + } + }, + { + "name": "persons", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 3, + "unique_ratio": 0.002171, + "example_values": [ + "2", + "4", + "more" + ] + } + }, + { + "name": "lug_boot", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 3, + "unique_ratio": 0.002171, + "example_values": [ + "small", + "big", + "med" + ] + } + }, + { + "name": "safety", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 3, + "unique_ratio": 0.002171, + "example_values": [ + "low", + "high", + "med" + ] + } + }, + { + "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": 4, + "unique_ratio": 0.002894, + "example_values": [ + "unacc", + "good", + "acc", + "vgood" + ] + } + } + ] +} \ No newline at end of file diff --git a/syntheticFail/c2/arf/arf-c2-20260504_204543/run_config.json b/syntheticFail/c2/arf/arf-c2-20260504_204543/run_config.json new file mode 100644 index 0000000000000000000000000000000000000000..fcd32c9498f36c7e5753326810ea2c181dd660d4 --- /dev/null +++ b/syntheticFail/c2/arf/arf-c2-20260504_204543/run_config.json @@ -0,0 +1,43 @@ +{ + "schema_version": 1, + "recorded_at": "2026-05-04T20:45:43", + "dataset_id": "c2", + "model": "arf", + "work_dir": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/arf/arf-c2-20260504_204543", + "dataset_source_requested": "new", + "dataset_source_resolved": "new", + "cli_args": { + "model": "arf", + "dataset": "c2", + "dataset_source": "new", + "train": true, + "generate": true, + "num_rows": 0, + "epochs": null, + "output_dir": null, + "model_dir": null, + "work_dir": null, + "resume": false, + "no_stats": false + }, + "resolved": { + "num_rows": 1382, + "model_path": null, + "output_csv": null + }, + "input_artifacts": { + "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/arf/arf-c2-20260504_204543/public_gate/public_gate_report.json", + "public_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/arf/arf-c2-20260504_204543/public_gate/staged_input_manifest.json", + "model_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/arf/arf-c2-20260504_204543/staged/arf/model_input_manifest.json", + "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/arf/arf-c2-20260504_204543/staged/public/train.csv", + "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/arf/arf-c2-20260504_204543/staged/public/staged_features.json", + "target_column": "class", + "task_type": "classification" + }, + "env_overrides": { + "ARF_DELTA": "0.01", + "ARF_MAX_ITERS": "3", + "ARF_MIN_NODE_SIZE": "7", + "ARF_NUM_TREES": "11" + } +} \ No newline at end of file diff --git a/syntheticFail/c2/arf/arf-c2-20260504_204543/runtime_result.json b/syntheticFail/c2/arf/arf-c2-20260504_204543/runtime_result.json new file mode 100644 index 0000000000000000000000000000000000000000..dcbfcbe2b6c3465c32f7bd0568c47475c498e43c --- /dev/null +++ b/syntheticFail/c2/arf/arf-c2-20260504_204543/runtime_result.json @@ -0,0 +1,24 @@ +{ + "dataset_id": "c2", + "model": "arf", + "run_id": "arf-c2-20260504_204543", + "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', '--cidfile', '/tmp/bench_docker_arf_7ftz3yhi/container.cid', '-e', 'ARF_NUM_TREES=11', '-e', 'ARF_MAX_ITERS=3', '-e', 'ARF_MIN_NODE_SIZE=7', '-e', 'ARF_DELTA=0.01', '-v', '/data/jialinzhang/SynthesizePipeline-server:/work', '-w', '/work', 'benchmark:arf-zjl', 'python', '/work/output-Benchmark-trainonly-v1/c2/arf/arf-c2-20260504_204543/_arf_train.py']' returned non-zero exit status 1.", + "artifacts": {}, + "timings": { + "train": { + "started_at": "2026-05-04T20:45:43", + "ended_at": "2026-05-04T20:45:45", + "duration_sec": 2.089 + }, + "generate": { + "started_at": null, + "ended_at": null, + "duration_sec": null + } + } +} \ No newline at end of file diff --git a/syntheticFail/c2/arf/arf-c2-20260504_204543/staged/arf/adapter_report.json b/syntheticFail/c2/arf/arf-c2-20260504_204543/staged/arf/adapter_report.json new file mode 100644 index 0000000000000000000000000000000000000000..f2a7b63acc091101275981dcfabb78757272e690 --- /dev/null +++ b/syntheticFail/c2/arf/arf-c2-20260504_204543/staged/arf/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-Benchmark-trainonly-v1/c2/arf/arf-c2-20260504_204543/staged/arf/model_input_manifest.json" +} \ No newline at end of file diff --git a/syntheticFail/c2/arf/arf-c2-20260504_204543/staged/arf/adapter_transforms_applied.json b/syntheticFail/c2/arf/arf-c2-20260504_204543/staged/arf/adapter_transforms_applied.json new file mode 100644 index 0000000000000000000000000000000000000000..0637a088a01e8ddab3bf3fa98dbe804cbde1a0dc --- /dev/null +++ b/syntheticFail/c2/arf/arf-c2-20260504_204543/staged/arf/adapter_transforms_applied.json @@ -0,0 +1 @@ +[] \ No newline at end of file diff --git a/syntheticFail/c2/arf/arf-c2-20260504_204543/staged/arf/model_input_manifest.json b/syntheticFail/c2/arf/arf-c2-20260504_204543/staged/arf/model_input_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..151185cad7b7e3031a30a71ea8f15a625232c6c4 --- /dev/null +++ b/syntheticFail/c2/arf/arf-c2-20260504_204543/staged/arf/model_input_manifest.json @@ -0,0 +1,151 @@ +{ + "dataset_id": "c2", + "model": "arf", + "target_column": "class", + "task_type": "classification", + "column_schema": [ + { + "name": "buying", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 4, + "unique_ratio": 0.002894, + "example_values": [ + "vhigh", + "med", + "high", + "low" + ] + } + }, + { + "name": "maint", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 4, + "unique_ratio": 0.002894, + "example_values": [ + "vhigh", + "low", + "med", + "high" + ] + } + }, + { + "name": "doors", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 4, + "unique_ratio": 0.002894, + "example_values": [ + "2", + "5more", + "3", + "4" + ] + } + }, + { + "name": "persons", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 3, + "unique_ratio": 0.002171, + "example_values": [ + "2", + "4", + "more" + ] + } + }, + { + "name": "lug_boot", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 3, + "unique_ratio": 0.002171, + "example_values": [ + "small", + "big", + "med" + ] + } + }, + { + "name": "safety", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 3, + "unique_ratio": 0.002171, + "example_values": [ + "low", + "high", + "med" + ] + } + }, + { + "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": 4, + "unique_ratio": 0.002894, + "example_values": [ + "unacc", + "good", + "acc", + "vgood" + ] + } + } + ], + "public_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/arf/arf-c2-20260504_204543/public_gate/staged_input_manifest.json", + "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/arf/arf-c2-20260504_204543/staged/public/train.csv", + "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/arf/arf-c2-20260504_204543/staged/public/val.csv", + "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/arf/arf-c2-20260504_204543/staged/public/test.csv", + "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/arf/arf-c2-20260504_204543/staged/public/staged_features.json", + "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/arf/arf-c2-20260504_204543/public_gate/public_gate_report.json" +} \ No newline at end of file diff --git a/syntheticFail/c2/arf/arf-c2-20260504_204543/staged/public/staged_features.json b/syntheticFail/c2/arf/arf-c2-20260504_204543/staged/public/staged_features.json new file mode 100644 index 0000000000000000000000000000000000000000..61783861dd5de501592f76acb0469cf3f3b2622a --- /dev/null +++ b/syntheticFail/c2/arf/arf-c2-20260504_204543/staged/public/staged_features.json @@ -0,0 +1,37 @@ +[ + { + "feature_name": "buying", + "data_type": "categorical", + "is_target": false + }, + { + "feature_name": "maint", + "data_type": "categorical", + "is_target": false + }, + { + "feature_name": "doors", + "data_type": "categorical", + "is_target": false + }, + { + "feature_name": "persons", + "data_type": "categorical", + "is_target": false + }, + { + "feature_name": "lug_boot", + "data_type": "categorical", + "is_target": false + }, + { + "feature_name": "safety", + "data_type": "categorical", + "is_target": false + }, + { + "feature_name": "class", + "data_type": "categorical", + "is_target": true + } +] \ No newline at end of file diff --git a/syntheticFail/c2/arf/arf-c2-20260504_204543/staged/public/test.csv b/syntheticFail/c2/arf/arf-c2-20260504_204543/staged/public/test.csv new file mode 100644 index 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index 0000000000000000000000000000000000000000..0f5c3212e7e2d1bbf85e185ff3018c01fd43b5d6 --- /dev/null +++ b/syntheticFail/c2/bayesnet/bayesnet-c2-20260504_204546/_bayesnet_train.py @@ -0,0 +1,146 @@ + + import json +import os + import pickle + import subprocess + import sys + import warnings + + import numpy as np + import pandas as pd + from pgmpy.estimators import TreeSearch + from pgmpy.models import DiscreteBayesianNetwork + warnings.filterwarnings("ignore", category=FutureWarning) + + def _ensure_cloudpickle(): + try: + import cloudpickle # noqa: F401 + except ModuleNotFoundError: + subprocess.check_call( + [sys.executable, "-m", "pip", "install", "--quiet", "cloudpickle"], + ) + + _ensure_cloudpickle() + + with open("/work/output-Benchmark-trainonly-v1/c2/bayesnet/bayesnet-c2-20260504_204546/bayesnet_coltypes.json", "r", encoding="utf-8") as _f: + colmeta = json.load(_f) + integer_columns = set(colmeta.get("integer_columns") or []) + + df = pd.read_csv("/work/output-Benchmark-trainonly-v1/c2/bayesnet/bayesnet-c2-20260504_204546/staged/public/train.csv") + df = df.dropna(axis=1, how="all") + full_column_order = list(df.columns) + + const_cols = {} + for col in list(df.columns): + if df[col].nunique(dropna=True) <= 1: + const_cols[col] = df[col].iloc[0] if len(df) > 0 else None + df = df.drop(columns=[col]) + print(f"[BayesNet] Dropped zero-variance column '{col}'") + + const_path = "/work/output-Benchmark-trainonly-v1/c2/bayesnet/bayesnet-c2-20260504_204546/bayesnet_model.pkl".replace("bayesnet_model.pkl", "const_cols.json") + with open(const_path, "w", encoding="utf-8") as _f: + json.dump({k: str(v) for k, v in const_cols.items()}, _f) + + inverse = {"categorical": {}, "continuous": {}} + enc = pd.DataFrame(index=df.index) + _n_samples = len(df) + _n_plan = sum( + 1 for e in colmeta["columns"] if str(e.get("name", "")) in df.columns + ) + max_bins = int(os.environ.get("BAYESNET_MAX_BINS", "0")) + max_cat_levels = int(os.environ.get("BAYESNET_MAX_CAT_LEVELS", "0")) + if max_bins <= 0: + max_bins = 10 + if max_cat_levels <= 0: + max_cat_levels = 256 + auto_caps = os.environ.get("BAYESNET_DISABLE_AUTO_CAPS", "0").strip().lower() not in ("1", "true", "yes") + if auto_caps and max_bins == 10 and max_cat_levels == 256: + if _n_plan > 35 or _n_samples > 200000: + max_bins = 5 + max_cat_levels = 64 + if _n_plan > 55: + max_bins = 4 + max_cat_levels = 32 + struct_rows = int(os.environ.get("BAYESNET_STRUCT_ROWS", "25000")) + fit_rows = int(os.environ.get("BAYESNET_FIT_ROWS", "120000")) + estimator_type = (os.environ.get("BAYESNET_ESTIMATOR_TYPE", "chow-liu") or "chow-liu").strip() + edge_weights_fn = (os.environ.get("BAYESNET_EDGE_WEIGHTS_FN", "mutual_info") or "mutual_info").strip() + root_node = (os.environ.get("BAYESNET_ROOT_NODE", "") or "").strip() or None + n_jobs = int(os.environ.get("BAYESNET_N_JOBS", "1")) + print( + f"[BayesNet] max_bins={max_bins}, max_cat_levels={max_cat_levels}, struct_rows={struct_rows}, fit_rows={fit_rows}, estimator_type={estimator_type}, edge_weights_fn={edge_weights_fn}, root_node={root_node}, n_jobs={n_jobs} " + f"(cols_in_df={_n_plan}, rows={_n_samples})" + ) + + for entry in colmeta["columns"]: + name = entry["name"] + if name not in df.columns: + continue + kind = entry["type"] + s = df[name] + if kind == "categorical": + s2 = s.astype(str).fillna("__NA__") + counts = s2.value_counts(dropna=False) + if len(counts) > max_cat_levels: + keep = set(counts.index[: max_cat_levels - 1].tolist()) + s2 = s2.map(lambda x: x if x in keep else "__OTHER__") + uniques = sorted(s2.dropna().unique(), key=lambda x: str(x)) + mapping = {str(v): i for i, v in enumerate(uniques)} + inverse["categorical"][name] = [uniques[i] for i in range(len(uniques))] + enc[name] = s2.map(lambda x, m=mapping: m.get(str(x), 0)).astype(int) + else: + s_num = pd.to_numeric(s, errors="coerce") + nu = int(s_num.nunique(dropna=True)) + q = min(max_bins, max(2, nu)) + if nu < 2: + enc[name] = np.zeros(len(s_num), dtype=int) + lo, hi = float(s_num.min()), float(s_num.max()) + inverse["continuous"][name] = [lo, hi] + else: + try: + _, bins = pd.qcut( + s_num, q=q, retbins=True, duplicates="drop" + ) + except Exception: + med = float(s_num.median()) + s2 = s_num.fillna(med) + _, bins = pd.qcut( + s2, q=min(q, 3), retbins=True, duplicates="drop" + ) + bins = np.asarray(bins, dtype=float) + lab = pd.cut( + s_num, bins=bins, labels=False, include_lowest=True + ) + enc[name] = lab.fillna(0).astype(int) + inverse["continuous"][name] = bins.tolist() + + print(f"[BayesNet] Training on {len(enc)} rows, {len(enc.columns)} cols (encoded)") + + enc_struct = enc + if len(enc) > struct_rows: + enc_struct = enc.sample(n=struct_rows, random_state=0, replace=False) + print(f"[BayesNet] TreeSearch on {len(enc_struct)} rows (subsample; full n={len(enc)})") + dag = TreeSearch(enc_struct, root_node=root_node, n_jobs=n_jobs).estimate(estimator_type=estimator_type, edge_weights_fn=edge_weights_fn, show_progress=False) + for col in enc.columns: + if col not in dag.nodes(): + dag.add_node(col) + print(f"[BayesNet] Added isolated node to DAG: {col}") + network = DiscreteBayesianNetwork(dag) + enc_fit = enc + if len(enc) > fit_rows: + enc_fit = enc.sample(n=fit_rows, random_state=1, replace=False) + print(f"[BayesNet] fit() on {len(enc_fit)} rows (full n={len(enc)})") + network.fit(enc_fit) + + bundle = { + "network": network, + "inverse": inverse, + "column_order": list(enc.columns), + "full_column_order": full_column_order, + "integer_columns": list(integer_columns), + "original_dtypes": {c: str(df[c].dtype) for c in enc.columns}, + "const_cols": const_cols, + } + with open("/work/output-Benchmark-trainonly-v1/c2/bayesnet/bayesnet-c2-20260504_204546/bayesnet_model.pkl", "wb") as _f: + pickle.dump(bundle, _f) + print(f"[BayesNet] Model saved -> /work/output-Benchmark-trainonly-v1/c2/bayesnet/bayesnet-c2-20260504_204546/bayesnet_model.pkl") diff --git a/syntheticFail/c2/bayesnet/bayesnet-c2-20260504_204546/bayesnet_coltypes.json b/syntheticFail/c2/bayesnet/bayesnet-c2-20260504_204546/bayesnet_coltypes.json new file mode 100644 index 0000000000000000000000000000000000000000..dc49694e781f314f19b59a568715784a7cabec24 --- /dev/null +++ b/syntheticFail/c2/bayesnet/bayesnet-c2-20260504_204546/bayesnet_coltypes.json @@ -0,0 +1,33 @@ +{ + "columns": [ + { + "name": "buying", + "type": "categorical" + }, + { + "name": "maint", + "type": "categorical" + }, + { + "name": "doors", + "type": "categorical" + }, + { + "name": "persons", + "type": "categorical" + }, + { + "name": "lug_boot", + "type": "categorical" + }, + { + "name": "safety", + "type": "categorical" + }, + { + "name": "class", + "type": "categorical" + } + ], + "integer_columns": [] +} \ No newline at end of file diff --git a/syntheticFail/c2/bayesnet/bayesnet-c2-20260504_204546/input_snapshot.json b/syntheticFail/c2/bayesnet/bayesnet-c2-20260504_204546/input_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..85fdc398e0d261ad97c34409134cc4aebb1bb672 --- /dev/null +++ b/syntheticFail/c2/bayesnet/bayesnet-c2-20260504_204546/input_snapshot.json @@ -0,0 +1,36 @@ +{ + "dataset_id": "c2", + "model": "bayesnet", + "inputs": { + "train_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c2/c2-train.csv", + "exists": true, + "size": 42948, + "sha256": "17bc560fa96bd00fb3b526e1e65bc91210b701d0d0a4e8bb9b4c5196cab56def" + }, + "val_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c2/c2-val.csv", + "exists": true, + "size": 5349, + "sha256": "61e565eca62e65a7dccd9d51039a3170413379e10fc494e25870e7c4294863c9" + }, + "test_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c2/c2-test.csv", + "exists": true, + "size": 5448, + "sha256": "cbcbb062a1faf5fa44b66c80532baa229e05b94fc42137269761e6c6d84af20a" + }, + "profile_json": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c2/c2-dataset_profile.json", + "exists": true, + "size": 3240, + "sha256": "526b7163b2076c93c0bf4638438081ee8a6907065d5b608faa40d1a3dbc2a27b" + }, + "contract_json": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c2/c2-dataset_contract_v1.json", + "exists": true, + "size": 3731, + "sha256": "fb595a876054c2ee9b4e10cfe83a5691588de1d25466cbb9d473c18ad3604009" + } + } +} \ No newline at end of file diff --git a/syntheticFail/c2/bayesnet/bayesnet-c2-20260504_204546/public_gate/normalized_schema_snapshot.json b/syntheticFail/c2/bayesnet/bayesnet-c2-20260504_204546/public_gate/normalized_schema_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..689b1d00d96508e44ba40e58dc4560e19afc2b3b --- /dev/null +++ b/syntheticFail/c2/bayesnet/bayesnet-c2-20260504_204546/public_gate/normalized_schema_snapshot.json @@ -0,0 +1,144 @@ +{ + "dataset_id": "c2", + "target_column": "class", + "task_type": "classification", + "columns": [ + { + "name": "buying", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 4, + "unique_ratio": 0.002894, + "example_values": [ + "vhigh", + "med", + "high", + "low" + ] + } + }, + { + "name": "maint", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 4, + "unique_ratio": 0.002894, + "example_values": [ + "vhigh", + "low", + "med", + "high" + ] + } + }, + { + "name": "doors", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 4, + "unique_ratio": 0.002894, + "example_values": [ + "2", + "5more", + "3", + "4" + ] + } + }, + { + "name": "persons", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 3, + "unique_ratio": 0.002171, + "example_values": [ + "2", + "4", + "more" + ] + } + }, + { + "name": "lug_boot", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 3, + "unique_ratio": 0.002171, + "example_values": [ + "small", + "big", + "med" + ] + } + }, + { + "name": "safety", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 3, + "unique_ratio": 0.002171, + "example_values": [ + "low", + "high", + "med" + ] + } + }, + { + "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": 4, + "unique_ratio": 0.002894, + "example_values": [ + "unacc", + "good", + "acc", + "vgood" + ] + } + } + ] +} \ No newline at end of file diff --git a/syntheticFail/c2/bayesnet/bayesnet-c2-20260504_204546/public_gate/public_gate_report.json b/syntheticFail/c2/bayesnet/bayesnet-c2-20260504_204546/public_gate/public_gate_report.json new file mode 100644 index 0000000000000000000000000000000000000000..2e4cdcb2a4e28e40d59b17a83e773f622b7636a5 --- /dev/null +++ b/syntheticFail/c2/bayesnet/bayesnet-c2-20260504_204546/public_gate/public_gate_report.json @@ -0,0 +1,37 @@ +{ + "dataset_id": "c2", + "status": "pass", + "checks": [ + { + "check_id": "PG001_csv_parse_ok", + "status": "pass" + }, + { + "check_id": "PG002_split_header_consistent", + "status": "pass" + }, + { + "check_id": "PG003_profile_header_match", + "status": "pass" + }, + { + "check_id": "PG004_missing_token_normalized", + "status": "pass" + }, + { + "check_id": "PG005_semantic_type_validated", + "status": "pass" + }, + { + "check_id": "PG006_target_defined_and_valid", + "status": "pass" + } + ], + "target_column": "class", + "task_type": "classification", + "input_splits": { + "train": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c2/c2-train.csv", + "val": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c2/c2-val.csv", + "test": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c2/c2-test.csv" + } +} \ No newline at end of file diff --git a/syntheticFail/c2/bayesnet/bayesnet-c2-20260504_204546/public_gate/staged_input_manifest.json b/syntheticFail/c2/bayesnet/bayesnet-c2-20260504_204546/public_gate/staged_input_manifest.json new file 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"/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/bayesnet/bayesnet-c2-20260504_204546/public_gate/public_gate_report.json", + "column_schema": [ + { + "name": "buying", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 4, + "unique_ratio": 0.002894, + "example_values": [ + "vhigh", + "med", + "high", + "low" + ] + } + }, + { + "name": "maint", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 4, + "unique_ratio": 0.002894, + "example_values": [ + "vhigh", + "low", + "med", + "high" + ] + } + }, + { + "name": "doors", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 4, + "unique_ratio": 0.002894, + "example_values": [ + "2", + "5more", + "3", + "4" + ] + } + }, + { + "name": "persons", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 3, + "unique_ratio": 0.002171, + "example_values": [ + "2", + "4", + "more" + ] + } + }, + { + "name": "lug_boot", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 3, + "unique_ratio": 0.002171, + "example_values": [ + "small", + "big", + "med" + ] + } + }, + { + "name": "safety", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 3, + "unique_ratio": 0.002171, + "example_values": [ + "low", + "high", + "med" + ] + } + }, + { + "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": 4, + "unique_ratio": 0.002894, + "example_values": [ + "unacc", + "good", + "acc", + "vgood" + ] + } + } + ] +} \ No newline at end of file diff --git a/syntheticFail/c2/bayesnet/bayesnet-c2-20260504_204546/run_config.json b/syntheticFail/c2/bayesnet/bayesnet-c2-20260504_204546/run_config.json new file mode 100644 index 0000000000000000000000000000000000000000..f5a83fa871f4d62a38737b9535f5a3a2057a2e50 --- /dev/null +++ b/syntheticFail/c2/bayesnet/bayesnet-c2-20260504_204546/run_config.json @@ -0,0 +1,46 @@ +{ + "schema_version": 1, + "recorded_at": "2026-05-04T20:45:46", + "dataset_id": "c2", + "model": "bayesnet", + "work_dir": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/bayesnet/bayesnet-c2-20260504_204546", + "dataset_source_requested": "new", + "dataset_source_resolved": "new", + "cli_args": { + "model": "bayesnet", + "dataset": "c2", + "dataset_source": "new", + "train": true, + "generate": true, + "num_rows": 0, + "epochs": null, + "output_dir": null, + "model_dir": null, + "work_dir": null, + "resume": false, + "no_stats": false + }, + "resolved": { + "num_rows": 1382, + "model_path": null, + "output_csv": null + }, + "input_artifacts": { + "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/bayesnet/bayesnet-c2-20260504_204546/public_gate/public_gate_report.json", + "public_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/bayesnet/bayesnet-c2-20260504_204546/public_gate/staged_input_manifest.json", + "model_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/bayesnet/bayesnet-c2-20260504_204546/staged/bayesnet/model_input_manifest.json", + "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/bayesnet/bayesnet-c2-20260504_204546/staged/public/train.csv", + "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/bayesnet/bayesnet-c2-20260504_204546/staged/public/staged_features.json", + "target_column": "class", + "task_type": "classification" + }, + "env_overrides": { + "BAYESNET_EDGE_WEIGHTS_FN": "mutual_info", + "BAYESNET_ESTIMATOR_TYPE": "chow-liu", + "BAYESNET_FIT_ROWS": "2000", + "BAYESNET_MAX_BINS": "7", + "BAYESNET_MAX_CAT_LEVELS": "50", + "BAYESNET_N_JOBS": "1", + "BAYESNET_STRUCT_ROWS": "1000" + } +} \ No newline at end of file diff --git a/syntheticFail/c2/bayesnet/bayesnet-c2-20260504_204546/runtime_result.json b/syntheticFail/c2/bayesnet/bayesnet-c2-20260504_204546/runtime_result.json new file mode 100644 index 0000000000000000000000000000000000000000..52b2fa7293494182e4f2ed447e06251ca056c842 --- /dev/null +++ b/syntheticFail/c2/bayesnet/bayesnet-c2-20260504_204546/runtime_result.json @@ -0,0 +1,24 @@ +{ + "dataset_id": "c2", + "model": "bayesnet", + "run_id": "bayesnet-c2-20260504_204546", + "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', '--cidfile', '/tmp/bench_docker_bayesnet_58e6fje8/container.cid', '-e', 'PYTHONNOUSERSITE=1', '-e', 'OPENBLAS_NUM_THREADS=8', '-e', 'MKL_NUM_THREADS=8', '-e', 'OMP_NUM_THREADS=8', '-e', 'BAYESNET_MAX_BINS=7', '-e', 'BAYESNET_MAX_CAT_LEVELS=50', '-e', 'BAYESNET_STRUCT_ROWS=1000', '-e', 'BAYESNET_FIT_ROWS=2000', '-e', 'BAYESNET_ESTIMATOR_TYPE=chow-liu', '-e', 'BAYESNET_EDGE_WEIGHTS_FN=mutual_info', '-e', 'BAYESNET_N_JOBS=1', '-v', '/data/jialinzhang/SynthesizePipeline-server:/work', '-w', '/work', 'benchmark:bayesnet-zjl', 'python', '/work/output-Benchmark-trainonly-v1/c2/bayesnet/bayesnet-c2-20260504_204546/_bayesnet_train.py']' returned non-zero exit status 1.", + "artifacts": {}, + "timings": { + "train": { + "started_at": "2026-05-04T20:45:46", + "ended_at": "2026-05-04T20:45:46", + "duration_sec": 0.606 + }, + "generate": { + "started_at": null, + "ended_at": null, + "duration_sec": null + } + } +} \ No newline at end of file diff --git a/syntheticFail/c2/bayesnet/bayesnet-c2-20260504_204546/staged/bayesnet/adapter_report.json b/syntheticFail/c2/bayesnet/bayesnet-c2-20260504_204546/staged/bayesnet/adapter_report.json new file mode 100644 index 0000000000000000000000000000000000000000..666af8af1d1095effaee3fe3d66e28a46815f106 --- /dev/null +++ b/syntheticFail/c2/bayesnet/bayesnet-c2-20260504_204546/staged/bayesnet/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-Benchmark-trainonly-v1/c2/bayesnet/bayesnet-c2-20260504_204546/staged/bayesnet/model_input_manifest.json" +} \ No newline at end of file diff --git a/syntheticFail/c2/bayesnet/bayesnet-c2-20260504_204546/staged/bayesnet/adapter_transforms_applied.json b/syntheticFail/c2/bayesnet/bayesnet-c2-20260504_204546/staged/bayesnet/adapter_transforms_applied.json new file mode 100644 index 0000000000000000000000000000000000000000..0637a088a01e8ddab3bf3fa98dbe804cbde1a0dc --- /dev/null +++ b/syntheticFail/c2/bayesnet/bayesnet-c2-20260504_204546/staged/bayesnet/adapter_transforms_applied.json @@ -0,0 +1 @@ +[] \ No newline at end of file diff --git a/syntheticFail/c2/bayesnet/bayesnet-c2-20260504_204546/staged/bayesnet/model_input_manifest.json b/syntheticFail/c2/bayesnet/bayesnet-c2-20260504_204546/staged/bayesnet/model_input_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..a28578662b0b7ab77effa37573f1f07b53af27ee --- /dev/null +++ b/syntheticFail/c2/bayesnet/bayesnet-c2-20260504_204546/staged/bayesnet/model_input_manifest.json @@ -0,0 +1,151 @@ +{ + "dataset_id": "c2", + "model": "bayesnet", + "target_column": "class", + "task_type": "classification", + "column_schema": [ + { + "name": "buying", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 4, + "unique_ratio": 0.002894, + "example_values": [ + "vhigh", + "med", + "high", + "low" + ] + } + }, + { + "name": "maint", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 4, + "unique_ratio": 0.002894, + "example_values": [ + "vhigh", + "low", + "med", + "high" + ] + } + }, + { + "name": "doors", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 4, + "unique_ratio": 0.002894, + "example_values": [ + "2", + "5more", + "3", + "4" + ] + } + }, + { + "name": "persons", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 3, + "unique_ratio": 0.002171, + "example_values": [ + "2", + "4", + "more" + ] + } + }, + { + "name": "lug_boot", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 3, + "unique_ratio": 0.002171, + "example_values": [ + "small", + "big", + "med" + ] + } + }, + { + "name": "safety", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 3, + "unique_ratio": 0.002171, + "example_values": [ + "low", + "high", + "med" + ] + } + }, + { + "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": 4, + "unique_ratio": 0.002894, + "example_values": [ + "unacc", + "good", + "acc", + "vgood" + ] + } + } + ], + "public_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/bayesnet/bayesnet-c2-20260504_204546/public_gate/staged_input_manifest.json", + "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/bayesnet/bayesnet-c2-20260504_204546/staged/public/train.csv", + "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/bayesnet/bayesnet-c2-20260504_204546/staged/public/val.csv", + "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/bayesnet/bayesnet-c2-20260504_204546/staged/public/test.csv", + "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/bayesnet/bayesnet-c2-20260504_204546/staged/public/staged_features.json", + "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/bayesnet/bayesnet-c2-20260504_204546/public_gate/public_gate_report.json" +} \ No newline at end of file diff --git a/syntheticFail/c2/bayesnet/bayesnet-c2-20260504_204546/staged/public/staged_features.json b/syntheticFail/c2/bayesnet/bayesnet-c2-20260504_204546/staged/public/staged_features.json new file mode 100644 index 0000000000000000000000000000000000000000..61783861dd5de501592f76acb0469cf3f3b2622a --- /dev/null +++ b/syntheticFail/c2/bayesnet/bayesnet-c2-20260504_204546/staged/public/staged_features.json @@ -0,0 +1,37 @@ +[ + { + "feature_name": "buying", + "data_type": "categorical", + "is_target": false + }, + { + "feature_name": "maint", + "data_type": "categorical", + "is_target": false + }, + { + "feature_name": "doors", + "data_type": "categorical", + "is_target": false + }, + { + "feature_name": "persons", + "data_type": "categorical", + "is_target": false + }, + { + "feature_name": "lug_boot", + "data_type": "categorical", + "is_target": false + }, + { + "feature_name": "safety", + "data_type": "categorical", + "is_target": false + }, + { + "feature_name": "class", + "data_type": "categorical", + "is_target": true + } +] \ No newline at end of file diff --git a/syntheticFail/c2/bayesnet/bayesnet-c2-20260504_204546/staged/public/test.csv b/syntheticFail/c2/bayesnet/bayesnet-c2-20260504_204546/staged/public/test.csv new file mode 100644 index 0000000000000000000000000000000000000000..392a0d7189a34d8f13ecf20a99d64b03230d517c --- /dev/null +++ b/syntheticFail/c2/bayesnet/bayesnet-c2-20260504_204546/staged/public/test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b48114a7d0bc5bd9a07920f903c8d4aba8bf98bf2a66a050da03588b0245ca73 +size 5273 diff --git a/syntheticFail/c2/bayesnet/bayesnet-c2-20260504_204546/staged/public/train.csv b/syntheticFail/c2/bayesnet/bayesnet-c2-20260504_204546/staged/public/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..da4f4d55134eebc0e51157d0d467536371db1484 --- /dev/null +++ b/syntheticFail/c2/bayesnet/bayesnet-c2-20260504_204546/staged/public/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4aed00c2c2b3f88a55a7ebff31b2e1b5e0e32fb0a7267e0b9d2779cd23e434dd +size 41565 diff --git a/syntheticFail/c2/bayesnet/bayesnet-c2-20260504_204546/staged/public/val.csv b/syntheticFail/c2/bayesnet/bayesnet-c2-20260504_204546/staged/public/val.csv new file mode 100644 index 0000000000000000000000000000000000000000..af8caf7ee42524188534a3daf32996dc491952d9 --- /dev/null +++ b/syntheticFail/c2/bayesnet/bayesnet-c2-20260504_204546/staged/public/val.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:26e90c1170a57a14c05832ac88027722b1f3848f9662c7c09ef7c93dcba4cc01 +size 5176 diff --git a/syntheticFail/c2/bayesnet/bayesnet-c2-20260504_204546/train_20260504_204546.log b/syntheticFail/c2/bayesnet/bayesnet-c2-20260504_204546/train_20260504_204546.log new file mode 100644 index 0000000000000000000000000000000000000000..b94ccb77fd48bcf0cf092a497b0bd3b035af6f1e --- /dev/null +++ b/syntheticFail/c2/bayesnet/bayesnet-c2-20260504_204546/train_20260504_204546.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c7660ea9707027fd645d486f67322b7881fca15144309b6d68e667dad469e127 +size 1180 diff --git a/syntheticFail/c2/ctgan/ctgan-c2-20260504_152620/_ctgan_train.py b/syntheticFail/c2/ctgan/ctgan-c2-20260504_152620/_ctgan_train.py new file mode 100644 index 0000000000000000000000000000000000000000..86752e4ed5ad75ff7778e12bb2e63a89593e8ba6 --- /dev/null +++ b/syntheticFail/c2/ctgan/ctgan-c2-20260504_152620/_ctgan_train.py @@ -0,0 +1,17 @@ +import pandas as pd +from ctgan.synthesizers.ctgan import CTGAN + +data = pd.read_csv("/work/output-Benchmark-trainonly-v1/c2/ctgan/ctgan-c2-20260504_152620/staged/public/train.csv") +discrete_columns = ['buying', 'maint', 'doors', 'persons', 'lug_boot', 'safety', 'class'] +model = CTGAN( + embedding_dim=16, + generator_dim=(32, 32), + discriminator_dim=(32, 32), + batch_size=64, + pac=5, + epochs=100, + verbose=True, +) +model.fit(data, discrete_columns) +model.save("/work/output-Benchmark-trainonly-v1/c2/ctgan/ctgan-c2-20260504_152620/models_100epochs/ctgan_100epochs.pt") +print("[CTGAN] Saved model ->", "/work/output-Benchmark-trainonly-v1/c2/ctgan/ctgan-c2-20260504_152620/models_100epochs/ctgan_100epochs.pt") \ No newline at end of file diff --git a/syntheticFail/c2/ctgan/ctgan-c2-20260504_152620/ctgan_metadata.json b/syntheticFail/c2/ctgan/ctgan-c2-20260504_152620/ctgan_metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..183d627ebc98e89233655ec98c9dcbc528c4c328 --- /dev/null +++ b/syntheticFail/c2/ctgan/ctgan-c2-20260504_152620/ctgan_metadata.json @@ -0,0 +1,32 @@ +{ + "columns": [ + { + "name": "buying", + "type": "categorical" + }, + { + "name": "maint", + "type": "categorical" + }, + { + "name": "doors", + "type": "categorical" + }, + { + "name": "persons", + "type": "categorical" + }, + { + "name": "lug_boot", + "type": "categorical" + }, + { + "name": "safety", + "type": "categorical" + }, + { + "name": "class", + "type": "categorical" + } + ] +} \ No newline at end of file diff --git a/syntheticFail/c2/ctgan/ctgan-c2-20260504_152620/input_snapshot.json b/syntheticFail/c2/ctgan/ctgan-c2-20260504_152620/input_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..e70c6b5c1d7c7363c5970bab5156163411d211e7 --- /dev/null +++ b/syntheticFail/c2/ctgan/ctgan-c2-20260504_152620/input_snapshot.json @@ -0,0 +1,36 @@ +{ + "dataset_id": "c2", + "model": "ctgan", + "inputs": { + "train_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c2/c2-train.csv", + "exists": true, + "size": 42948, + "sha256": "17bc560fa96bd00fb3b526e1e65bc91210b701d0d0a4e8bb9b4c5196cab56def" + }, + "val_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c2/c2-val.csv", + "exists": true, + "size": 5349, + "sha256": "61e565eca62e65a7dccd9d51039a3170413379e10fc494e25870e7c4294863c9" + }, + 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index 0000000000000000000000000000000000000000..e678b2a8566a58a97f5014671f300048479282ad --- /dev/null +++ b/syntheticFail/c2/goggle/goggle-c2-20260414_051945/_goggle_meta.json @@ -0,0 +1 @@ +{"columns": ["buying", "maint", "doors", "persons", "lug_boot", "safety", "class"], "input_dim": 7} \ No newline at end of file diff --git a/syntheticFail/c2/goggle/goggle-c2-20260414_051945/_goggle_train.csv b/syntheticFail/c2/goggle/goggle-c2-20260414_051945/_goggle_train.csv new file mode 100644 index 0000000000000000000000000000000000000000..e46411bd30576ac83d2208aaeb7010e5b8f6a4b1 --- /dev/null +++ b/syntheticFail/c2/goggle/goggle-c2-20260414_051945/_goggle_train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:899fed64bf5d66443b93cf0ff7bc6f63e15f8fb1ec2d7060dc21d50d52d1f2af +size 38745 diff --git a/syntheticFail/c2/goggle/goggle-c2-20260414_051945/_goggle_train.py b/syntheticFail/c2/goggle/goggle-c2-20260414_051945/_goggle_train.py new file mode 100644 index 0000000000000000000000000000000000000000..b6bcd01452c685d0af1f98730a5c1e09d502b5ac --- /dev/null +++ b/syntheticFail/c2/goggle/goggle-c2-20260414_051945/_goggle_train.py @@ -0,0 +1,16 @@ + +import json, os, torch, pandas as pd +os.environ["PYTHONPATH"] = "/workspace/GOGGLE/src:" + os.environ.get("PYTHONPATH", "") +os.chdir("/work") +from goggle.GoggleModel import GoggleModel +with open(r"/work/output-SpecializedModels/c2/goggle/goggle-c2-20260414_051945/_goggle_meta.json") as f: + meta = json.load(f) +df = pd.read_csv(r"/work/output-SpecializedModels/c2/goggle/goggle-c2-20260414_051945/_goggle_train.csv") +m = GoggleModel( + "pipe", input_dim=meta["input_dim"], encoder_dim=64, decoder_dim=64, + encoder_l=2, decoder_l=2, decoder_arch="gcn", device="cuda", + epochs=1, batch_size=128, patience=min(20, 1), logging_epoch=max(1, 1//5), +) +m.fit(df) +torch.save({"state_dict": m.model.state_dict(), "meta": meta}, r"/work/output-SpecializedModels/c2/goggle/goggle-c2-20260414_051945/goggle_state.pt") +print("GOGGLE train OK") diff --git a/syntheticFail/c2/goggle/goggle-c2-20260414_051945/goggle_state.pt b/syntheticFail/c2/goggle/goggle-c2-20260414_051945/goggle_state.pt new file mode 100644 index 0000000000000000000000000000000000000000..869adc9163d97dd4e2a3e7ac7c1f8477d9247564 --- /dev/null +++ b/syntheticFail/c2/goggle/goggle-c2-20260414_051945/goggle_state.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:073adbc5f229e4b0fd2defbaa34e688d4b5ac4f176c56cb03b85f68bd15694c0 +size 19479 diff --git a/syntheticFail/c2/goggle/goggle-c2-20260414_051945/input_snapshot.json b/syntheticFail/c2/goggle/goggle-c2-20260414_051945/input_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..053eeea95bf078fa0ca02db52caecab672fa7b95 --- /dev/null +++ b/syntheticFail/c2/goggle/goggle-c2-20260414_051945/input_snapshot.json @@ -0,0 +1,36 @@ +{ + "dataset_id": "c2", + "model": "goggle", + "inputs": { + "train_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c2/c2-train.csv", + "exists": true, + "size": 42948, + "sha256": "17bc560fa96bd00fb3b526e1e65bc91210b701d0d0a4e8bb9b4c5196cab56def" + }, + "val_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c2/c2-val.csv", + "exists": true, + "size": 5349, + "sha256": "61e565eca62e65a7dccd9d51039a3170413379e10fc494e25870e7c4294863c9" + }, + "test_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c2/c2-test.csv", + "exists": true, + "size": 5448, + "sha256": "cbcbb062a1faf5fa44b66c80532baa229e05b94fc42137269761e6c6d84af20a" + }, + "profile_json": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c2/c2-dataset_profile.json", + "exists": true, + "size": 3240, + "sha256": "526b7163b2076c93c0bf4638438081ee8a6907065d5b608faa40d1a3dbc2a27b" + }, + "contract_json": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c2/c2-dataset_contract_v1.json", + "exists": true, + "size": 3731, + "sha256": "fb595a876054c2ee9b4e10cfe83a5691588de1d25466cbb9d473c18ad3604009" + } + } +} \ No newline at end of file diff --git a/syntheticFail/c2/goggle/goggle-c2-20260414_051945/models_goggle/weights.pt b/syntheticFail/c2/goggle/goggle-c2-20260414_051945/models_goggle/weights.pt new file mode 100644 index 0000000000000000000000000000000000000000..869adc9163d97dd4e2a3e7ac7c1f8477d9247564 --- /dev/null +++ b/syntheticFail/c2/goggle/goggle-c2-20260414_051945/models_goggle/weights.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:073adbc5f229e4b0fd2defbaa34e688d4b5ac4f176c56cb03b85f68bd15694c0 +size 19479 diff --git a/syntheticFail/c2/goggle/goggle-c2-20260414_051945/public_gate/normalized_schema_snapshot.json b/syntheticFail/c2/goggle/goggle-c2-20260414_051945/public_gate/normalized_schema_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..689b1d00d96508e44ba40e58dc4560e19afc2b3b --- /dev/null +++ b/syntheticFail/c2/goggle/goggle-c2-20260414_051945/public_gate/normalized_schema_snapshot.json @@ -0,0 +1,144 @@ +{ + "dataset_id": "c2", + "target_column": "class", + "task_type": "classification", + "columns": [ + { + "name": "buying", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 4, + "unique_ratio": 0.002894, + "example_values": [ + "vhigh", + "med", + "high", + "low" + ] + } + }, + { + "name": "maint", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 4, + "unique_ratio": 0.002894, + "example_values": [ + "vhigh", + "low", + "med", + "high" + ] + } + }, + { + "name": "doors", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 4, + "unique_ratio": 0.002894, + "example_values": [ + "2", + "5more", + "3", + "4" + ] + } + }, + { + "name": "persons", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 3, + "unique_ratio": 0.002171, + "example_values": [ + "2", + "4", + "more" + ] + } + }, + { + "name": "lug_boot", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 3, + "unique_ratio": 0.002171, + "example_values": [ + "small", + "big", + "med" + ] + } + }, + { + "name": "safety", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 3, + "unique_ratio": 0.002171, + "example_values": [ + "low", + "high", + "med" + ] + } + }, + { + "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": 4, + "unique_ratio": 0.002894, + "example_values": [ + "unacc", + "good", + "acc", + "vgood" + ] + } + } + ] +} \ No newline at end of file diff --git a/syntheticFail/c2/goggle/goggle-c2-20260414_051945/public_gate/public_gate_report.json b/syntheticFail/c2/goggle/goggle-c2-20260414_051945/public_gate/public_gate_report.json new file mode 100644 index 0000000000000000000000000000000000000000..2e4cdcb2a4e28e40d59b17a83e773f622b7636a5 --- /dev/null +++ b/syntheticFail/c2/goggle/goggle-c2-20260414_051945/public_gate/public_gate_report.json @@ -0,0 +1,37 @@ +{ + "dataset_id": "c2", + "status": "pass", + "checks": [ + { + "check_id": "PG001_csv_parse_ok", + "status": "pass" + }, + { + "check_id": "PG002_split_header_consistent", + "status": "pass" + }, + { + "check_id": "PG003_profile_header_match", + "status": "pass" + }, + { + "check_id": "PG004_missing_token_normalized", + "status": "pass" + }, + { + "check_id": "PG005_semantic_type_validated", + "status": "pass" + }, + { + "check_id": "PG006_target_defined_and_valid", + "status": "pass" + } + ], + "target_column": "class", + "task_type": "classification", + "input_splits": { + "train": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c2/c2-train.csv", + "val": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c2/c2-val.csv", + "test": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c2/c2-test.csv" + } +} \ No newline at end of file diff --git a/syntheticFail/c2/goggle/goggle-c2-20260414_051945/public_gate/staged_input_manifest.json b/syntheticFail/c2/goggle/goggle-c2-20260414_051945/public_gate/staged_input_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..986b2e2bf90830e7b45e306424fb51d24ec1b629 --- /dev/null +++ b/syntheticFail/c2/goggle/goggle-c2-20260414_051945/public_gate/staged_input_manifest.json @@ -0,0 +1,149 @@ +{ + "dataset_id": "c2", + "target_column": "class", + "task_type": "classification", + "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c2/goggle/goggle-c2-20260414_051945/staged/public/train.csv", + "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c2/goggle/goggle-c2-20260414_051945/staged/public/val.csv", + "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c2/goggle/goggle-c2-20260414_051945/staged/public/test.csv", + "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c2/goggle/goggle-c2-20260414_051945/staged/public/staged_features.json", + "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c2/goggle/goggle-c2-20260414_051945/public_gate/public_gate_report.json", + "column_schema": [ + { + "name": "buying", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 4, + "unique_ratio": 0.002894, + "example_values": [ + "vhigh", + "med", + "high", + "low" + ] + } + }, + { + "name": "maint", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 4, + "unique_ratio": 0.002894, + "example_values": [ + "vhigh", + "low", + "med", + "high" + ] + } + }, + { + "name": "doors", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 4, + "unique_ratio": 0.002894, + "example_values": [ + "2", + "5more", + "3", + "4" + ] + } + }, + { + "name": "persons", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 3, + "unique_ratio": 0.002171, + "example_values": [ + "2", + "4", + "more" + ] + } + }, + { + "name": "lug_boot", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 3, + "unique_ratio": 0.002171, + "example_values": [ + "small", + "big", + "med" + ] + } + }, + { + "name": "safety", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 3, + "unique_ratio": 0.002171, + "example_values": [ + "low", + "high", + "med" + ] + } + }, + { + "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": 4, + "unique_ratio": 0.002894, + "example_values": [ + "unacc", + "good", + "acc", + "vgood" + ] + } + } + ] +} \ No newline at end of file diff --git a/syntheticFail/c2/goggle/goggle-c2-20260414_051945/runtime_result.json b/syntheticFail/c2/goggle/goggle-c2-20260414_051945/runtime_result.json new file mode 100644 index 0000000000000000000000000000000000000000..25c63ed3f5da54394f47fa32e219a954b5da6de4 --- /dev/null +++ b/syntheticFail/c2/goggle/goggle-c2-20260414_051945/runtime_result.json @@ -0,0 +1,14 @@ +{ + "dataset_id": "c2", + "model": "goggle", + "run_id": "goggle-c2-20260414_051945", + "public_gate_status": "pass", + "adapter_ready_status": "pass", + "train_status": "success", + "generate_status": "skipped", + "reason_code": null, + "reason_detail": null, + "artifacts": { + "model_path": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c2/goggle/goggle-c2-20260414_051945/models_goggle/weights.pt" + } +} \ No newline at end of file diff --git a/syntheticFail/c2/goggle/goggle-c2-20260414_051945/staged/goggle/adapter_report.json b/syntheticFail/c2/goggle/goggle-c2-20260414_051945/staged/goggle/adapter_report.json new file mode 100644 index 0000000000000000000000000000000000000000..3cf2a28e82092e9490e255b83adf7e40e46225df --- /dev/null +++ b/syntheticFail/c2/goggle/goggle-c2-20260414_051945/staged/goggle/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/c2/goggle/goggle-c2-20260414_051945/staged/goggle/model_input_manifest.json" +} \ No newline at end of file diff --git a/syntheticFail/c2/goggle/goggle-c2-20260414_051945/staged/goggle/adapter_transforms_applied.json b/syntheticFail/c2/goggle/goggle-c2-20260414_051945/staged/goggle/adapter_transforms_applied.json new file mode 100644 index 0000000000000000000000000000000000000000..0637a088a01e8ddab3bf3fa98dbe804cbde1a0dc --- /dev/null +++ b/syntheticFail/c2/goggle/goggle-c2-20260414_051945/staged/goggle/adapter_transforms_applied.json @@ -0,0 +1 @@ +[] \ No newline at end of file diff --git a/syntheticFail/c2/goggle/goggle-c2-20260414_051945/staged/goggle/model_input_manifest.json b/syntheticFail/c2/goggle/goggle-c2-20260414_051945/staged/goggle/model_input_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..c49f1a635fd4dc6f75232bec3d41af16cbcf8536 --- /dev/null +++ b/syntheticFail/c2/goggle/goggle-c2-20260414_051945/staged/goggle/model_input_manifest.json @@ -0,0 +1,151 @@ +{ + "dataset_id": "c2", + "model": "goggle", + "target_column": "class", + "task_type": "classification", + "column_schema": [ + { + "name": "buying", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 4, + "unique_ratio": 0.002894, + "example_values": [ + "vhigh", + "med", + "high", + "low" + ] + } + }, + { + "name": "maint", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 4, + "unique_ratio": 0.002894, + "example_values": [ + "vhigh", + "low", + "med", + "high" + ] + } + }, + { + "name": "doors", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 4, + "unique_ratio": 0.002894, + "example_values": [ + "2", + "5more", + "3", + "4" + ] + } + }, + { + "name": "persons", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 3, + "unique_ratio": 0.002171, + "example_values": [ + "2", + "4", + "more" + ] + } + }, + { + "name": "lug_boot", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 3, + "unique_ratio": 0.002171, + "example_values": [ + "small", + "big", + "med" + ] + } + }, + { + "name": "safety", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 3, + "unique_ratio": 0.002171, + "example_values": [ + "low", + "high", + "med" + ] + } + }, + { + "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": 4, + "unique_ratio": 0.002894, + "example_values": [ + "unacc", + "good", + "acc", + "vgood" + ] + } + } + ], + "public_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c2/goggle/goggle-c2-20260414_051945/public_gate/staged_input_manifest.json", + "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c2/goggle/goggle-c2-20260414_051945/staged/public/train.csv", + "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c2/goggle/goggle-c2-20260414_051945/staged/public/val.csv", + "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c2/goggle/goggle-c2-20260414_051945/staged/public/test.csv", + "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c2/goggle/goggle-c2-20260414_051945/staged/public/staged_features.json", + "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c2/goggle/goggle-c2-20260414_051945/public_gate/public_gate_report.json" +} \ No newline at end of file diff --git a/syntheticFail/c2/goggle/goggle-c2-20260414_051945/staged/public/staged_features.json b/syntheticFail/c2/goggle/goggle-c2-20260414_051945/staged/public/staged_features.json new file mode 100644 index 0000000000000000000000000000000000000000..61783861dd5de501592f76acb0469cf3f3b2622a --- /dev/null +++ b/syntheticFail/c2/goggle/goggle-c2-20260414_051945/staged/public/staged_features.json @@ -0,0 +1,37 @@ +[ + { + "feature_name": "buying", + "data_type": "categorical", + "is_target": false + }, + { + "feature_name": "maint", + "data_type": "categorical", + "is_target": false + }, + { + "feature_name": "doors", + "data_type": "categorical", + "is_target": false + }, + { + "feature_name": "persons", + "data_type": "categorical", + "is_target": false + }, + { + "feature_name": "lug_boot", + "data_type": "categorical", + "is_target": false + }, + { + "feature_name": "safety", + "data_type": "categorical", + "is_target": false + }, + { + "feature_name": "class", + "data_type": "categorical", + "is_target": true + } +] \ No newline at end of file diff --git a/syntheticFail/c2/goggle/goggle-c2-20260414_051945/staged/public/test.csv b/syntheticFail/c2/goggle/goggle-c2-20260414_051945/staged/public/test.csv new file mode 100644 index 0000000000000000000000000000000000000000..392a0d7189a34d8f13ecf20a99d64b03230d517c --- /dev/null +++ b/syntheticFail/c2/goggle/goggle-c2-20260414_051945/staged/public/test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b48114a7d0bc5bd9a07920f903c8d4aba8bf98bf2a66a050da03588b0245ca73 +size 5273 diff --git a/syntheticFail/c2/goggle/goggle-c2-20260414_051945/staged/public/train.csv b/syntheticFail/c2/goggle/goggle-c2-20260414_051945/staged/public/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..da4f4d55134eebc0e51157d0d467536371db1484 --- /dev/null +++ b/syntheticFail/c2/goggle/goggle-c2-20260414_051945/staged/public/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4aed00c2c2b3f88a55a7ebff31b2e1b5e0e32fb0a7267e0b9d2779cd23e434dd +size 41565 diff --git a/syntheticFail/c2/goggle/goggle-c2-20260414_051945/staged/public/val.csv b/syntheticFail/c2/goggle/goggle-c2-20260414_051945/staged/public/val.csv new file mode 100644 index 0000000000000000000000000000000000000000..af8caf7ee42524188534a3daf32996dc491952d9 --- /dev/null +++ b/syntheticFail/c2/goggle/goggle-c2-20260414_051945/staged/public/val.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:26e90c1170a57a14c05832ac88027722b1f3848f9662c7c09ef7c93dcba4cc01 +size 5176 diff --git a/syntheticFail/c2/goggle/goggle-c2-20260414_051945/train_20260414_051945.log b/syntheticFail/c2/goggle/goggle-c2-20260414_051945/train_20260414_051945.log new file mode 100644 index 0000000000000000000000000000000000000000..c1bc640e296beeb561db5e43f2869917189c8d7d --- /dev/null +++ b/syntheticFail/c2/goggle/goggle-c2-20260414_051945/train_20260414_051945.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:87004419f9babded1cbd79eb9900cd61e45977b716875b8e032ec3e47ae4af5b +size 539 diff --git a/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_172919/_tabsyn_train.py b/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_172919/_tabsyn_train.py new file mode 100644 index 0000000000000000000000000000000000000000..e3ce87fbdcb0378abcbf6a1fb2981f55becab84e --- /dev/null +++ b/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_172919/_tabsyn_train.py @@ -0,0 +1,69 @@ +import os, sys, subprocess + +work_dir = "/work/output-Benchmark-trainonly-v1/c2/tabsyn/tabsyn-c2-20260505_172919" +dataname = "tabsyn_c2_tabsyn_c2_20260505_172919" +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/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_172919/data/tabsyn_c2_tabsyn_c2_20260505_172919/X_cat_test.npy b/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_172919/data/tabsyn_c2_tabsyn_c2_20260505_172919/X_cat_test.npy new file mode 100644 index 0000000000000000000000000000000000000000..6cf4fc75ff61837a47172e845d2942ba68f4ccd1 --- /dev/null +++ b/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_172919/data/tabsyn_c2_tabsyn_c2_20260505_172919/X_cat_test.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0e9f5e299905cfd50c63688fb7b818aeec0d802b14338f705ec09d39826ac9c2 +size 55408 diff --git a/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_172919/data/tabsyn_c2_tabsyn_c2_20260505_172919/X_cat_train.npy b/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_172919/data/tabsyn_c2_tabsyn_c2_20260505_172919/X_cat_train.npy new file mode 100644 index 0000000000000000000000000000000000000000..6cf4fc75ff61837a47172e845d2942ba68f4ccd1 --- /dev/null +++ b/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_172919/data/tabsyn_c2_tabsyn_c2_20260505_172919/X_cat_train.npy @@ -0,0 +1,3 @@ +version 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0000000000000000000000000000000000000000..9a71edeab7a22756c9090743b5d0fde204acfb75 --- /dev/null +++ b/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_172919/data/tabsyn_c2_tabsyn_c2_20260505_172919/X_num_train.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f937731a3e7785676e9f861e44eddab69c323327e03bdd1f6e8755c5321538fb +size 5656 diff --git a/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_172919/data/tabsyn_c2_tabsyn_c2_20260505_172919/info.json b/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_172919/data/tabsyn_c2_tabsyn_c2_20260505_172919/info.json new file mode 100644 index 0000000000000000000000000000000000000000..586cb486832167301f2dabb25d182c61c1c9178f --- /dev/null +++ b/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_172919/data/tabsyn_c2_tabsyn_c2_20260505_172919/info.json @@ -0,0 +1,89 @@ +{ + "name": "tabsyn_c2_tabsyn_c2_20260505_172919", + "task_type": "multiclass", + "n_num_features": 1, + "n_cat_features": 5, + "train_size": 1382, + "num_col_idx": [ + 0 + ], + "cat_col_idx": [ + 1, + 2, + 3, + 4, + 5 + ], + "target_col_idx": [ + 6 + ], + "column_names": [ + "buying", + "maint", + "doors", + "persons", + "lug_boot", + "safety", + "class" + ], + "train_num": 1382, + "test_num": 1382, + "header": 0, + "file_type": "csv", + "data_path": "data/tabsyn_c2_tabsyn_c2_20260505_172919/train.csv", + "test_path": null, + "idx_mapping": { + "0": 0, + "1": 1, + "2": 2, + "3": 3, + "4": 4, + "5": 5, + "6": 6 + }, + "inverse_idx_mapping": { + "0": 0, + "1": 1, + "2": 2, + "3": 3, + "4": 4, + "5": 5, + "6": 6 + }, + "idx_name_mapping": { + "0": "buying", + "1": "maint", + "2": "doors", + "3": "persons", + "4": "lug_boot", + "5": "safety", + "6": "class" + }, + "n_classes": 4, + "metadata": { + "columns": { + "0": { + "sdtype": "numerical", + "computer_representation": "Float" + }, + "1": { + "sdtype": "categorical" + }, + "2": { + "sdtype": "categorical" + }, + "3": { + "sdtype": "categorical" + }, + "4": { + "sdtype": "categorical" + }, + "5": { + "sdtype": "categorical" + }, + "6": { + "sdtype": "categorical" + } + } + } +} \ No newline at end of file diff --git a/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_172919/data/tabsyn_c2_tabsyn_c2_20260505_172919/test.csv b/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_172919/data/tabsyn_c2_tabsyn_c2_20260505_172919/test.csv new file mode 100644 index 0000000000000000000000000000000000000000..94d40776e20a2226c5a316fc3eaf8b74b8513970 --- /dev/null +++ b/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_172919/data/tabsyn_c2_tabsyn_c2_20260505_172919/test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3e7b4d4a1f787d81e53eddffbd43603149e1dd038d94b4c0244340ff4a2e4511 +size 19397 diff --git a/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_172919/data/tabsyn_c2_tabsyn_c2_20260505_172919/train.csv b/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_172919/data/tabsyn_c2_tabsyn_c2_20260505_172919/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..94d40776e20a2226c5a316fc3eaf8b74b8513970 --- /dev/null +++ b/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_172919/data/tabsyn_c2_tabsyn_c2_20260505_172919/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3e7b4d4a1f787d81e53eddffbd43603149e1dd038d94b4c0244340ff4a2e4511 +size 19397 diff --git a/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_172919/data/tabsyn_c2_tabsyn_c2_20260505_172919/y_test.npy b/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_172919/data/tabsyn_c2_tabsyn_c2_20260505_172919/y_test.npy new file mode 100644 index 0000000000000000000000000000000000000000..108cc1504a0828881e00ae2e843ec55f1a447337 --- /dev/null +++ b/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_172919/data/tabsyn_c2_tabsyn_c2_20260505_172919/y_test.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f88f9f2d088513402a20e38e046da314636957e28ee86d4df15ac0dfc9fce867 +size 11184 diff --git a/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_172919/data/tabsyn_c2_tabsyn_c2_20260505_172919/y_train.npy b/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_172919/data/tabsyn_c2_tabsyn_c2_20260505_172919/y_train.npy new file mode 100644 index 0000000000000000000000000000000000000000..108cc1504a0828881e00ae2e843ec55f1a447337 --- /dev/null +++ b/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_172919/data/tabsyn_c2_tabsyn_c2_20260505_172919/y_train.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f88f9f2d088513402a20e38e046da314636957e28ee86d4df15ac0dfc9fce867 +size 11184 diff --git a/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_172919/input_snapshot.json b/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_172919/input_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..7d3fddeb570e67b127ac5aef0d448cae7e934e6c --- /dev/null +++ b/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_172919/input_snapshot.json @@ -0,0 +1,36 @@ +{ + "dataset_id": "c2", + "model": "tabsyn", + "inputs": { + "train_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c2/c2-train.csv", + "exists": true, + "size": 42948, + "sha256": "17bc560fa96bd00fb3b526e1e65bc91210b701d0d0a4e8bb9b4c5196cab56def" + }, + "val_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c2/c2-val.csv", + "exists": true, + "size": 5349, + "sha256": "61e565eca62e65a7dccd9d51039a3170413379e10fc494e25870e7c4294863c9" + }, + "test_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c2/c2-test.csv", + "exists": true, + "size": 5448, + "sha256": "cbcbb062a1faf5fa44b66c80532baa229e05b94fc42137269761e6c6d84af20a" + }, + "profile_json": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c2/c2-dataset_profile.json", + "exists": true, + "size": 3240, + "sha256": "526b7163b2076c93c0bf4638438081ee8a6907065d5b608faa40d1a3dbc2a27b" + }, + "contract_json": { + "path": 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"check_id": "PG005_semantic_type_validated", + "status": "pass" + }, + { + "check_id": "PG006_target_defined_and_valid", + "status": "pass" + } + ], + "target_column": "class", + "task_type": "classification", + "input_splits": { + "train": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c2/c2-train.csv", + "val": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c2/c2-val.csv", + "test": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c2/c2-test.csv" + } +} \ No newline at end of file diff --git a/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_172919/public_gate/staged_input_manifest.json b/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_172919/public_gate/staged_input_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..6211261dcd61709cb8cc45d1ab063686ebbdb41b --- /dev/null +++ b/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_172919/public_gate/staged_input_manifest.json @@ -0,0 +1,149 @@ +{ + "dataset_id": "c2", + "target_column": "class", + 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"parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 4, + "unique_ratio": 0.002894, + "example_values": [ + "unacc", + "good", + "acc", + "vgood" + ] + } + } + ] +} \ No newline at end of file diff --git a/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_172919/run_config.json b/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_172919/run_config.json new file mode 100644 index 0000000000000000000000000000000000000000..b04de40819bd0deb729d3d8d1832a2b9c35b4ab7 --- /dev/null +++ b/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_172919/run_config.json @@ -0,0 +1,49 @@ +{ + "schema_version": 1, + "recorded_at": "2026-05-05T17:29:19", + "dataset_id": "c2", + "model": "tabsyn", + "work_dir": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/tabsyn/tabsyn-c2-20260505_172919", + "dataset_source_requested": "new", + "dataset_source_resolved": "new", + "cli_args": { + "model": "tabsyn", + "dataset": "c2", + "dataset_source": 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"/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/tabsyn/tabsyn-c2-20260505_172919/staged/public/staged_features.json", + "target_column": "class", + "task_type": "classification" + }, + "env_overrides": { + "BENCHMARK_TABSYN_GPUS": "device=3", + "TABSYN_DIFFUSION_MAX_EPOCHS": "3", + "TABSYN_DIFFUSION_NUM_WORKERS": "0", + "TABSYN_RESUME": "0", + "TABSYN_VAE_BATCH_SIZE": "128", + "TABSYN_VAE_ENCODE_BATCH_SIZE": "256", + "TABSYN_VAE_EPOCHS": "3", + "TABSYN_VAE_EVAL_BATCH_SIZE": "256", + "TABSYN_VAE_INFER_BATCH_SIZE": "256", + "TABSYN_VAE_NUM_WORKERS": "0" + } +} \ No newline at end of file diff --git a/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_172919/runtime_result.json b/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_172919/runtime_result.json new file mode 100644 index 0000000000000000000000000000000000000000..a5ace24c25408597e44aad3b43c063ba342109df --- /dev/null +++ b/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_172919/runtime_result.json @@ -0,0 +1,24 @@ +{ + "dataset_id": "c2", + "model": "tabsyn", + "run_id": "tabsyn-c2-20260505_172919", + "public_gate_status": "pass", + "adapter_ready_status": "pass", + "train_status": "fail", + "generate_status": "skipped", + "reason_code": "adapter_runtime_error", + "reason_detail": "name 'os' is not defined", + "artifacts": {}, + "timings": { + "train": { + "started_at": "2026-05-05T17:29:19", + "ended_at": "2026-05-05T17:29:19", + "duration_sec": 0.027 + }, + "generate": { + "started_at": null, + "ended_at": null, + "duration_sec": null + } + } +} \ No newline at end of file diff --git a/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_172919/staged/public/staged_features.json b/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_172919/staged/public/staged_features.json new file mode 100644 index 0000000000000000000000000000000000000000..61783861dd5de501592f76acb0469cf3f3b2622a --- /dev/null +++ b/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_172919/staged/public/staged_features.json @@ -0,0 +1,37 @@ +[ + { + 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b/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_172919/staged/public/test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b48114a7d0bc5bd9a07920f903c8d4aba8bf98bf2a66a050da03588b0245ca73 +size 5273 diff --git a/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_172919/staged/public/train.csv b/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_172919/staged/public/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..da4f4d55134eebc0e51157d0d467536371db1484 --- /dev/null +++ b/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_172919/staged/public/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4aed00c2c2b3f88a55a7ebff31b2e1b5e0e32fb0a7267e0b9d2779cd23e434dd +size 41565 diff --git a/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_172919/staged/public/val.csv b/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_172919/staged/public/val.csv new file mode 100644 index 0000000000000000000000000000000000000000..af8caf7ee42524188534a3daf32996dc491952d9 --- /dev/null +++ b/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_172919/staged/public/val.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:26e90c1170a57a14c05832ac88027722b1f3848f9662c7c09ef7c93dcba4cc01 +size 5176 diff --git a/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_172919/staged/tabsyn/adapter_report.json b/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_172919/staged/tabsyn/adapter_report.json new file mode 100644 index 0000000000000000000000000000000000000000..82f1c49f7b99488fec5824c9425989b070933a52 --- /dev/null +++ b/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_172919/staged/tabsyn/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-Benchmark-trainonly-v1/c2/tabsyn/tabsyn-c2-20260505_172919/staged/tabsyn/model_input_manifest.json" +} \ No newline at end of file diff --git a/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_172919/staged/tabsyn/adapter_transforms_applied.json b/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_172919/staged/tabsyn/adapter_transforms_applied.json new file mode 100644 index 0000000000000000000000000000000000000000..0637a088a01e8ddab3bf3fa98dbe804cbde1a0dc --- /dev/null +++ b/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_172919/staged/tabsyn/adapter_transforms_applied.json @@ -0,0 +1 @@ +[] \ No newline at end of file diff --git a/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_172919/staged/tabsyn/model_input_manifest.json b/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_172919/staged/tabsyn/model_input_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..29ee0d4ee87c9bcb89051ad9509247b2f8f8d443 --- /dev/null +++ b/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_172919/staged/tabsyn/model_input_manifest.json @@ -0,0 +1,151 @@ +{ + "dataset_id": "c2", + "model": "tabsyn", + "target_column": "class", + "task_type": "classification", + "column_schema": [ + { + "name": "buying", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 4, + "unique_ratio": 0.002894, + "example_values": [ + "vhigh", + "med", + "high", + "low" + ] + } + }, + { + "name": "maint", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 4, + "unique_ratio": 0.002894, + "example_values": [ + "vhigh", + "low", + "med", + "high" + ] + } + }, + { + "name": "doors", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 4, + "unique_ratio": 0.002894, + "example_values": [ + "2", + "5more", + "3", + "4" + ] + } + }, + { + "name": "persons", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 3, + "unique_ratio": 0.002171, + "example_values": [ + "2", + "4", + "more" + ] + } + }, + { + "name": "lug_boot", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 3, + "unique_ratio": 0.002171, + "example_values": [ + "small", + "big", + "med" + ] + } + }, + { + "name": "safety", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 3, + "unique_ratio": 0.002171, + "example_values": [ + "low", + "high", + "med" + ] + } + }, + { + "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": 4, + "unique_ratio": 0.002894, + "example_values": [ + "unacc", + "good", + "acc", + "vgood" + ] + } + } + ], + "public_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/tabsyn/tabsyn-c2-20260505_172919/public_gate/staged_input_manifest.json", + "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/tabsyn/tabsyn-c2-20260505_172919/staged/public/train.csv", + "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/tabsyn/tabsyn-c2-20260505_172919/staged/public/val.csv", + "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/tabsyn/tabsyn-c2-20260505_172919/staged/public/test.csv", + "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/tabsyn/tabsyn-c2-20260505_172919/staged/public/staged_features.json", + "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/tabsyn/tabsyn-c2-20260505_172919/public_gate/public_gate_report.json" +} \ No newline at end of file diff --git a/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_172919/synthetic/tabsyn_c2_tabsyn_c2_20260505_172919/real.csv b/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_172919/synthetic/tabsyn_c2_tabsyn_c2_20260505_172919/real.csv new file mode 100644 index 0000000000000000000000000000000000000000..94d40776e20a2226c5a316fc3eaf8b74b8513970 --- /dev/null +++ b/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_172919/synthetic/tabsyn_c2_tabsyn_c2_20260505_172919/real.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3e7b4d4a1f787d81e53eddffbd43603149e1dd038d94b4c0244340ff4a2e4511 +size 19397 diff --git a/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_172919/synthetic/tabsyn_c2_tabsyn_c2_20260505_172919/test.csv b/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_172919/synthetic/tabsyn_c2_tabsyn_c2_20260505_172919/test.csv new file mode 100644 index 0000000000000000000000000000000000000000..94d40776e20a2226c5a316fc3eaf8b74b8513970 --- /dev/null +++ b/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_172919/synthetic/tabsyn_c2_tabsyn_c2_20260505_172919/test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3e7b4d4a1f787d81e53eddffbd43603149e1dd038d94b4c0244340ff4a2e4511 +size 19397 diff --git a/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_172919/train_20260505_172919.log b/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_172919/train_20260505_172919.log new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_173023/_tabsyn_train.py b/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_173023/_tabsyn_train.py new file mode 100644 index 0000000000000000000000000000000000000000..1d4f693b276c8afc056ca478b493e2078d49051a --- /dev/null +++ b/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_173023/_tabsyn_train.py @@ -0,0 +1,69 @@ +import os, sys, subprocess + +work_dir = "/work/output-Benchmark-trainonly-v1/c2/tabsyn/tabsyn-c2-20260505_173023" +dataname = "tabsyn_c2_tabsyn_c2_20260505_173023" +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 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"tabsyn_c2_tabsyn_c2_20260505_173023", + "task_type": "multiclass", + "n_num_features": 1, + "n_cat_features": 5, + "train_size": 1382, + "num_col_idx": [ + 0 + ], + "cat_col_idx": [ + 1, + 2, + 3, + 4, + 5 + ], + "target_col_idx": [ + 6 + ], + "column_names": [ + "buying", + "maint", + "doors", + "persons", + "lug_boot", + "safety", + "class" + ], + "train_num": 1382, + "test_num": 1382, + "header": 0, + "file_type": "csv", + "data_path": "data/tabsyn_c2_tabsyn_c2_20260505_173023/train.csv", + "test_path": null, + "idx_mapping": { + "0": 0, + "1": 1, + "2": 2, + "3": 3, + "4": 4, + "5": 5, + "6": 6 + }, + "inverse_idx_mapping": { + "0": 0, + "1": 1, + "2": 2, + "3": 3, + "4": 4, + "5": 5, + "6": 6 + }, + "idx_name_mapping": { + "0": "buying", + "1": "maint", + "2": "doors", + "3": "persons", + "4": "lug_boot", + "5": "safety", + "6": "class" + }, + "n_classes": 4, + "metadata": { + "columns": { + "0": { + "sdtype": "numerical", + "computer_representation": "Float" + }, + "1": { + 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sha256:f88f9f2d088513402a20e38e046da314636957e28ee86d4df15ac0dfc9fce867 +size 11184 diff --git a/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_173023/data/tabsyn_c2_tabsyn_c2_20260505_173023/y_train.npy b/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_173023/data/tabsyn_c2_tabsyn_c2_20260505_173023/y_train.npy new file mode 100644 index 0000000000000000000000000000000000000000..108cc1504a0828881e00ae2e843ec55f1a447337 --- /dev/null +++ b/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_173023/data/tabsyn_c2_tabsyn_c2_20260505_173023/y_train.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f88f9f2d088513402a20e38e046da314636957e28ee86d4df15ac0dfc9fce867 +size 11184 diff --git a/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_173023/input_snapshot.json b/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_173023/input_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..7d3fddeb570e67b127ac5aef0d448cae7e934e6c --- /dev/null +++ b/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_173023/input_snapshot.json @@ -0,0 +1,36 @@ +{ + "dataset_id": "c2", + "model": "tabsyn", + "inputs": { + "train_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c2/c2-train.csv", + "exists": true, + "size": 42948, + "sha256": "17bc560fa96bd00fb3b526e1e65bc91210b701d0d0a4e8bb9b4c5196cab56def" + }, + "val_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c2/c2-val.csv", + "exists": true, + "size": 5349, + "sha256": "61e565eca62e65a7dccd9d51039a3170413379e10fc494e25870e7c4294863c9" + }, + "test_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c2/c2-test.csv", + "exists": true, + "size": 5448, + "sha256": "cbcbb062a1faf5fa44b66c80532baa229e05b94fc42137269761e6c6d84af20a" + }, + "profile_json": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c2/c2-dataset_profile.json", + "exists": true, + "size": 3240, + "sha256": 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"status": "pass" + }, + { + "check_id": "PG004_missing_token_normalized", + "status": "pass" + }, + { + "check_id": "PG005_semantic_type_validated", + "status": "pass" + }, + { + "check_id": "PG006_target_defined_and_valid", + "status": "pass" + } + ], + "target_column": "class", + "task_type": "classification", + "input_splits": { + "train": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c2/c2-train.csv", + "val": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c2/c2-val.csv", + "test": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c2/c2-test.csv" + } +} \ No newline at end of file diff --git a/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_173023/public_gate/staged_input_manifest.json b/syntheticFail/c2/tabsyn/tabsyn-c2-20260505_173023/public_gate/staged_input_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ad5b7e71cdb5349245740df437a4445116d020ac --- /dev/null +++ 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