jialinzhang commited on
Commit ·
df5c242
1
Parent(s): d2a77c0
Add syntheticFail c6
Browse files- syntheticFail/c6/tabddpm/tabddpm-c6-20260510_215455/_tabddpm_train.py +32 -0
- syntheticFail/c6/tabddpm/tabddpm-c6-20260510_215455/config.toml +39 -0
- syntheticFail/c6/tabddpm/tabddpm-c6-20260510_215455/data/X_cat_train.npy +3 -0
- syntheticFail/c6/tabddpm/tabddpm-c6-20260510_215455/data/X_num_train.npy +3 -0
- syntheticFail/c6/tabddpm/tabddpm-c6-20260510_215455/data/info.json +32 -0
- syntheticFail/c6/tabddpm/tabddpm-c6-20260510_215455/data/y_train.npy +3 -0
- syntheticFail/c6/tabddpm/tabddpm-c6-20260510_215455/input_snapshot.json +36 -0
- syntheticFail/c6/tabddpm/tabddpm-c6-20260510_215455/public_gate/normalized_schema_snapshot.json +169 -0
- syntheticFail/c6/tabddpm/tabddpm-c6-20260510_215455/public_gate/public_gate_report.json +37 -0
- syntheticFail/c6/tabddpm/tabddpm-c6-20260510_215455/public_gate/staged_input_manifest.json +174 -0
- syntheticFail/c6/tabddpm/tabddpm-c6-20260510_215455/run_config.json +45 -0
- syntheticFail/c6/tabddpm/tabddpm-c6-20260510_215455/runtime_result.json +24 -0
- syntheticFail/c6/tabddpm/tabddpm-c6-20260510_215455/staged/public/staged_features.json +42 -0
- syntheticFail/c6/tabddpm/tabddpm-c6-20260510_215455/staged/public/test.csv +3 -0
- syntheticFail/c6/tabddpm/tabddpm-c6-20260510_215455/staged/public/train.csv +3 -0
- syntheticFail/c6/tabddpm/tabddpm-c6-20260510_215455/staged/public/val.csv +3 -0
- syntheticFail/c6/tabddpm/tabddpm-c6-20260510_215455/staged/tabddpm/adapter_report.json +7 -0
- syntheticFail/c6/tabddpm/tabddpm-c6-20260510_215455/staged/tabddpm/adapter_transforms_applied.json +1 -0
- syntheticFail/c6/tabddpm/tabddpm-c6-20260510_215455/staged/tabddpm/model_input_manifest.json +176 -0
- syntheticFail/c6/tabddpm/tabddpm-c6-20260510_215455/train_20260510_215455.log +3 -0
syntheticFail/c6/tabddpm/tabddpm-c6-20260510_215455/_tabddpm_train.py
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import os, sys, subprocess
|
| 2 |
+
|
| 3 |
+
tabddpm_root = "/workspace/tabddpm/code"
|
| 4 |
+
assert os.path.isdir(tabddpm_root), f"TabDDPM source not mounted: {tabddpm_root}"
|
| 5 |
+
env = os.environ.copy()
|
| 6 |
+
env["PYTHONPATH"] = tabddpm_root + (os.pathsep + env.get("PYTHONPATH", ""))
|
| 7 |
+
|
| 8 |
+
# Write a wrapper that patches collections.Sequence (removed in Python 3.10+)
|
| 9 |
+
# before running pipeline.py - needed because skorch uses old API
|
| 10 |
+
wrapper = os.path.join(tabddpm_root, "_compat_run.py")
|
| 11 |
+
with open(wrapper, "w") as f:
|
| 12 |
+
f.write(
|
| 13 |
+
"import collections, collections.abc\n"
|
| 14 |
+
"for _a in ('Sequence','MutableSequence','MutableMapping','Mapping',"
|
| 15 |
+
"'MutableSet','Set','Callable','Iterable','Iterator'):\n"
|
| 16 |
+
" if not hasattr(collections, _a): setattr(collections, _a, getattr(collections.abc, _a, None))\n"
|
| 17 |
+
"import sys, runpy\n"
|
| 18 |
+
"sys.argv = sys.argv[1:]\n"
|
| 19 |
+
"runpy.run_path(sys.argv[0], run_name='__main__')\n"
|
| 20 |
+
)
|
| 21 |
+
|
| 22 |
+
print(f"[TabDDPM] Training, config=/work/output-Benchmark-trainonly-v1/c6/tabddpm/tabddpm-c6-20260510_215455/config.toml")
|
| 23 |
+
ret = subprocess.run(
|
| 24 |
+
[sys.executable, wrapper, "scripts/pipeline.py",
|
| 25 |
+
"--config", "/work/output-Benchmark-trainonly-v1/c6/tabddpm/tabddpm-c6-20260510_215455/config.toml",
|
| 26 |
+
"--train"],
|
| 27 |
+
cwd=tabddpm_root,
|
| 28 |
+
env=env
|
| 29 |
+
)
|
| 30 |
+
if ret.returncode != 0:
|
| 31 |
+
sys.exit(ret.returncode)
|
| 32 |
+
print("[TabDDPM] Training complete")
|
syntheticFail/c6/tabddpm/tabddpm-c6-20260510_215455/config.toml
ADDED
|
@@ -0,0 +1,39 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
seed = 0
|
| 2 |
+
parent_dir = "/work/output-Benchmark-trainonly-v1/c6/tabddpm/tabddpm-c6-20260510_215455/output"
|
| 3 |
+
real_data_path = "/work/output-Benchmark-trainonly-v1/c6/tabddpm/tabddpm-c6-20260510_215455/data"
|
| 4 |
+
model_type = "mlp"
|
| 5 |
+
num_numerical_features = 2
|
| 6 |
+
device = "cuda:0"
|
| 7 |
+
|
| 8 |
+
[model_params]
|
| 9 |
+
d_in = 7
|
| 10 |
+
num_classes = 2
|
| 11 |
+
is_y_cond = true
|
| 12 |
+
|
| 13 |
+
[model_params.rtdl_params]
|
| 14 |
+
d_layers = [256, 256]
|
| 15 |
+
dropout = 0.0
|
| 16 |
+
|
| 17 |
+
[diffusion_params]
|
| 18 |
+
num_timesteps = 200
|
| 19 |
+
gaussian_loss_type = "mse"
|
| 20 |
+
|
| 21 |
+
[train.main]
|
| 22 |
+
steps = 2000
|
| 23 |
+
lr = 0.001
|
| 24 |
+
weight_decay = 0.0
|
| 25 |
+
batch_size = 256
|
| 26 |
+
|
| 27 |
+
[train.T]
|
| 28 |
+
seed = 0
|
| 29 |
+
normalization = "quantile"
|
| 30 |
+
num_nan_policy = "__none__"
|
| 31 |
+
cat_nan_policy = "__none__"
|
| 32 |
+
cat_min_frequency = "__none__"
|
| 33 |
+
cat_encoding = "__none__"
|
| 34 |
+
y_policy = "default"
|
| 35 |
+
|
| 36 |
+
[sample]
|
| 37 |
+
num_samples = 1000
|
| 38 |
+
batch_size = 256
|
| 39 |
+
seed = 0
|
syntheticFail/c6/tabddpm/tabddpm-c6-20260510_215455/data/X_cat_train.npy
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:70d11e223e774b29d6fd58433b72dcb3d3a24a8bbb187fc6d7d32b8fe5e9cee7
|
| 3 |
+
size 305568
|
syntheticFail/c6/tabddpm/tabddpm-c6-20260510_215455/data/X_num_train.npy
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:24258565807b5a7fc2c0c3c9a4f26f21a6bb9f8e60c004592425f19e3b2b55a1
|
| 3 |
+
size 61216
|
syntheticFail/c6/tabddpm/tabddpm-c6-20260510_215455/data/info.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"name": "benchmark_dataset",
|
| 3 |
+
"task_type": "multiclass",
|
| 4 |
+
"n_num_features": 2,
|
| 5 |
+
"n_cat_features": 5,
|
| 6 |
+
"train_size": 7636,
|
| 7 |
+
"num_col_idx": [
|
| 8 |
+
0,
|
| 9 |
+
1
|
| 10 |
+
],
|
| 11 |
+
"cat_col_idx": [
|
| 12 |
+
2,
|
| 13 |
+
3,
|
| 14 |
+
4,
|
| 15 |
+
5,
|
| 16 |
+
6
|
| 17 |
+
],
|
| 18 |
+
"target_col_idx": [
|
| 19 |
+
7
|
| 20 |
+
],
|
| 21 |
+
"column_names": [
|
| 22 |
+
"Student ID",
|
| 23 |
+
"Question ID",
|
| 24 |
+
"Student Country",
|
| 25 |
+
"Question Level",
|
| 26 |
+
"Topic",
|
| 27 |
+
"Subtopic",
|
| 28 |
+
"Keywords",
|
| 29 |
+
"Type of Answer"
|
| 30 |
+
],
|
| 31 |
+
"num_classes": 2
|
| 32 |
+
}
|
syntheticFail/c6/tabddpm/tabddpm-c6-20260510_215455/data/y_train.npy
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:80ccc3344a1009b642b589707df9c94cbc3dfa53970e361d51fe44862d17d9f2
|
| 3 |
+
size 61216
|
syntheticFail/c6/tabddpm/tabddpm-c6-20260510_215455/input_snapshot.json
ADDED
|
@@ -0,0 +1,36 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_id": "c6",
|
| 3 |
+
"model": "tabddpm",
|
| 4 |
+
"inputs": {
|
| 5 |
+
"train_csv": {
|
| 6 |
+
"path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c6/c6-train.csv",
|
| 7 |
+
"exists": true,
|
| 8 |
+
"size": 849500,
|
| 9 |
+
"sha256": "7d8f85a52de0e63e292778c26cb06223383b366c589d4226c3de68b111ba5272"
|
| 10 |
+
},
|
| 11 |
+
"val_csv": {
|
| 12 |
+
"path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c6/c6-val.csv",
|
| 13 |
+
"exists": true,
|
| 14 |
+
"size": 108137,
|
| 15 |
+
"sha256": "9ede9f1e2036e743d822e8ed8d7b5e1050159e8fc7b402b758a294f7a14528fe"
|
| 16 |
+
},
|
| 17 |
+
"test_csv": {
|
| 18 |
+
"path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c6/c6-test.csv",
|
| 19 |
+
"exists": true,
|
| 20 |
+
"size": 107696,
|
| 21 |
+
"sha256": "d28b60b361526450f0c203ddf50498854cb66ad5c1978516a99c265f529f8e4f"
|
| 22 |
+
},
|
| 23 |
+
"profile_json": {
|
| 24 |
+
"path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c6/c6-dataset_profile.json",
|
| 25 |
+
"exists": true,
|
| 26 |
+
"size": 4145,
|
| 27 |
+
"sha256": "70c4d3f4f544b9bff7543f502136d9b1403d8589ad5ef0a9695842d8ef9d5185"
|
| 28 |
+
},
|
| 29 |
+
"contract_json": {
|
| 30 |
+
"path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c6/c6-dataset_contract_v1.json",
|
| 31 |
+
"exists": true,
|
| 32 |
+
"size": 4740,
|
| 33 |
+
"sha256": "602750e8159221cf97836d44d530098411b5f2cd6fc47c06776171da79d06593"
|
| 34 |
+
}
|
| 35 |
+
}
|
| 36 |
+
}
|
syntheticFail/c6/tabddpm/tabddpm-c6-20260510_215455/public_gate/normalized_schema_snapshot.json
ADDED
|
@@ -0,0 +1,169 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_id": "c6",
|
| 3 |
+
"target_column": "Type of Answer",
|
| 4 |
+
"task_type": "classification",
|
| 5 |
+
"columns": [
|
| 6 |
+
{
|
| 7 |
+
"name": "Student ID",
|
| 8 |
+
"role": "feature",
|
| 9 |
+
"semantic_type": "numeric",
|
| 10 |
+
"nullable": false,
|
| 11 |
+
"missing_tokens": [],
|
| 12 |
+
"parse_format": null,
|
| 13 |
+
"impute_strategy": "median",
|
| 14 |
+
"profile_stats": {
|
| 15 |
+
"missing_rate": 0.0,
|
| 16 |
+
"unique_count": 367,
|
| 17 |
+
"unique_ratio": 0.048062,
|
| 18 |
+
"example_values": [
|
| 19 |
+
"473",
|
| 20 |
+
"351",
|
| 21 |
+
"967",
|
| 22 |
+
"1557",
|
| 23 |
+
"394"
|
| 24 |
+
]
|
| 25 |
+
}
|
| 26 |
+
},
|
| 27 |
+
{
|
| 28 |
+
"name": "Student Country",
|
| 29 |
+
"role": "feature",
|
| 30 |
+
"semantic_type": "categorical",
|
| 31 |
+
"nullable": false,
|
| 32 |
+
"missing_tokens": [],
|
| 33 |
+
"parse_format": null,
|
| 34 |
+
"impute_strategy": "mode",
|
| 35 |
+
"profile_stats": {
|
| 36 |
+
"missing_rate": 0.0,
|
| 37 |
+
"unique_count": 8,
|
| 38 |
+
"unique_ratio": 0.001048,
|
| 39 |
+
"example_values": [
|
| 40 |
+
"Portugal",
|
| 41 |
+
"Italy",
|
| 42 |
+
"Lithuania",
|
| 43 |
+
"Slovenia",
|
| 44 |
+
"Ireland"
|
| 45 |
+
]
|
| 46 |
+
}
|
| 47 |
+
},
|
| 48 |
+
{
|
| 49 |
+
"name": "Question ID",
|
| 50 |
+
"role": "feature",
|
| 51 |
+
"semantic_type": "numeric",
|
| 52 |
+
"nullable": false,
|
| 53 |
+
"missing_tokens": [],
|
| 54 |
+
"parse_format": null,
|
| 55 |
+
"impute_strategy": "median",
|
| 56 |
+
"profile_stats": {
|
| 57 |
+
"missing_rate": 0.0,
|
| 58 |
+
"unique_count": 796,
|
| 59 |
+
"unique_ratio": 0.104243,
|
| 60 |
+
"example_values": [
|
| 61 |
+
"346",
|
| 62 |
+
"796",
|
| 63 |
+
"453",
|
| 64 |
+
"87",
|
| 65 |
+
"325"
|
| 66 |
+
]
|
| 67 |
+
}
|
| 68 |
+
},
|
| 69 |
+
{
|
| 70 |
+
"name": "Type of Answer",
|
| 71 |
+
"role": "target",
|
| 72 |
+
"semantic_type": "boolean",
|
| 73 |
+
"nullable": false,
|
| 74 |
+
"missing_tokens": [],
|
| 75 |
+
"parse_format": null,
|
| 76 |
+
"impute_strategy": "mode",
|
| 77 |
+
"profile_stats": {
|
| 78 |
+
"missing_rate": 0.0,
|
| 79 |
+
"unique_count": 2,
|
| 80 |
+
"unique_ratio": 0.000262,
|
| 81 |
+
"example_values": [
|
| 82 |
+
"0",
|
| 83 |
+
"1"
|
| 84 |
+
]
|
| 85 |
+
}
|
| 86 |
+
},
|
| 87 |
+
{
|
| 88 |
+
"name": "Question Level",
|
| 89 |
+
"role": "feature",
|
| 90 |
+
"semantic_type": "categorical",
|
| 91 |
+
"nullable": false,
|
| 92 |
+
"missing_tokens": [],
|
| 93 |
+
"parse_format": null,
|
| 94 |
+
"impute_strategy": "mode",
|
| 95 |
+
"profile_stats": {
|
| 96 |
+
"missing_rate": 0.0,
|
| 97 |
+
"unique_count": 2,
|
| 98 |
+
"unique_ratio": 0.000262,
|
| 99 |
+
"example_values": [
|
| 100 |
+
"Advanced",
|
| 101 |
+
"Basic"
|
| 102 |
+
]
|
| 103 |
+
}
|
| 104 |
+
},
|
| 105 |
+
{
|
| 106 |
+
"name": "Topic",
|
| 107 |
+
"role": "feature",
|
| 108 |
+
"semantic_type": "text",
|
| 109 |
+
"nullable": false,
|
| 110 |
+
"missing_tokens": [],
|
| 111 |
+
"parse_format": null,
|
| 112 |
+
"impute_strategy": "keep_raw",
|
| 113 |
+
"profile_stats": {
|
| 114 |
+
"missing_rate": 0.0,
|
| 115 |
+
"unique_count": 14,
|
| 116 |
+
"unique_ratio": 0.001833,
|
| 117 |
+
"example_values": [
|
| 118 |
+
"Complex Numbers",
|
| 119 |
+
"Fundamental Mathematics",
|
| 120 |
+
"Linear Algebra",
|
| 121 |
+
"Real Functions of a single variable",
|
| 122 |
+
"Analytic Geometry"
|
| 123 |
+
]
|
| 124 |
+
}
|
| 125 |
+
},
|
| 126 |
+
{
|
| 127 |
+
"name": "Subtopic",
|
| 128 |
+
"role": "feature",
|
| 129 |
+
"semantic_type": "text",
|
| 130 |
+
"nullable": false,
|
| 131 |
+
"missing_tokens": [],
|
| 132 |
+
"parse_format": null,
|
| 133 |
+
"impute_strategy": "keep_raw",
|
| 134 |
+
"profile_stats": {
|
| 135 |
+
"missing_rate": 0.0,
|
| 136 |
+
"unique_count": 24,
|
| 137 |
+
"unique_ratio": 0.003143,
|
| 138 |
+
"example_values": [
|
| 139 |
+
"Complex Numbers",
|
| 140 |
+
"Algebraic expressions, Equations, and Inequalities",
|
| 141 |
+
"Vector Spaces",
|
| 142 |
+
"Limits and Continuity",
|
| 143 |
+
"Linear Transformations"
|
| 144 |
+
]
|
| 145 |
+
}
|
| 146 |
+
},
|
| 147 |
+
{
|
| 148 |
+
"name": "Keywords",
|
| 149 |
+
"role": "feature",
|
| 150 |
+
"semantic_type": "text",
|
| 151 |
+
"nullable": false,
|
| 152 |
+
"missing_tokens": [],
|
| 153 |
+
"parse_format": null,
|
| 154 |
+
"impute_strategy": "keep_raw",
|
| 155 |
+
"profile_stats": {
|
| 156 |
+
"missing_rate": 0.0,
|
| 157 |
+
"unique_count": 360,
|
| 158 |
+
"unique_ratio": 0.047145,
|
| 159 |
+
"example_values": [
|
| 160 |
+
"Imaginary part,Modulus of a complex number,Operations with complex numbers,Conjugate number,Real part",
|
| 161 |
+
"Logarithmic function,Exponential function,Simplify expressions",
|
| 162 |
+
"Linear independence,Span,Linear dependence",
|
| 163 |
+
"Indeterminate forms,Limits",
|
| 164 |
+
"Range,Kernel"
|
| 165 |
+
]
|
| 166 |
+
}
|
| 167 |
+
}
|
| 168 |
+
]
|
| 169 |
+
}
|
syntheticFail/c6/tabddpm/tabddpm-c6-20260510_215455/public_gate/public_gate_report.json
ADDED
|
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_id": "c6",
|
| 3 |
+
"status": "pass",
|
| 4 |
+
"checks": [
|
| 5 |
+
{
|
| 6 |
+
"check_id": "PG001_csv_parse_ok",
|
| 7 |
+
"status": "pass"
|
| 8 |
+
},
|
| 9 |
+
{
|
| 10 |
+
"check_id": "PG002_split_header_consistent",
|
| 11 |
+
"status": "pass"
|
| 12 |
+
},
|
| 13 |
+
{
|
| 14 |
+
"check_id": "PG003_profile_header_match",
|
| 15 |
+
"status": "pass"
|
| 16 |
+
},
|
| 17 |
+
{
|
| 18 |
+
"check_id": "PG004_missing_token_normalized",
|
| 19 |
+
"status": "pass"
|
| 20 |
+
},
|
| 21 |
+
{
|
| 22 |
+
"check_id": "PG005_semantic_type_validated",
|
| 23 |
+
"status": "pass"
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"check_id": "PG006_target_defined_and_valid",
|
| 27 |
+
"status": "pass"
|
| 28 |
+
}
|
| 29 |
+
],
|
| 30 |
+
"target_column": "Type of Answer",
|
| 31 |
+
"task_type": "classification",
|
| 32 |
+
"input_splits": {
|
| 33 |
+
"train": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c6/c6-train.csv",
|
| 34 |
+
"val": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c6/c6-val.csv",
|
| 35 |
+
"test": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c6/c6-test.csv"
|
| 36 |
+
}
|
| 37 |
+
}
|
syntheticFail/c6/tabddpm/tabddpm-c6-20260510_215455/public_gate/staged_input_manifest.json
ADDED
|
@@ -0,0 +1,174 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_id": "c6",
|
| 3 |
+
"target_column": "Type of Answer",
|
| 4 |
+
"task_type": "classification",
|
| 5 |
+
"train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c6/tabddpm/tabddpm-c6-20260510_215455/staged/public/train.csv",
|
| 6 |
+
"val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c6/tabddpm/tabddpm-c6-20260510_215455/staged/public/val.csv",
|
| 7 |
+
"test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c6/tabddpm/tabddpm-c6-20260510_215455/staged/public/test.csv",
|
| 8 |
+
"features_json": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c6/tabddpm/tabddpm-c6-20260510_215455/staged/public/staged_features.json",
|
| 9 |
+
"public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c6/tabddpm/tabddpm-c6-20260510_215455/public_gate/public_gate_report.json",
|
| 10 |
+
"column_schema": [
|
| 11 |
+
{
|
| 12 |
+
"name": "Student ID",
|
| 13 |
+
"role": "feature",
|
| 14 |
+
"semantic_type": "numeric",
|
| 15 |
+
"nullable": false,
|
| 16 |
+
"missing_tokens": [],
|
| 17 |
+
"parse_format": null,
|
| 18 |
+
"impute_strategy": "median",
|
| 19 |
+
"profile_stats": {
|
| 20 |
+
"missing_rate": 0.0,
|
| 21 |
+
"unique_count": 367,
|
| 22 |
+
"unique_ratio": 0.048062,
|
| 23 |
+
"example_values": [
|
| 24 |
+
"473",
|
| 25 |
+
"351",
|
| 26 |
+
"967",
|
| 27 |
+
"1557",
|
| 28 |
+
"394"
|
| 29 |
+
]
|
| 30 |
+
}
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"name": "Student Country",
|
| 34 |
+
"role": "feature",
|
| 35 |
+
"semantic_type": "categorical",
|
| 36 |
+
"nullable": false,
|
| 37 |
+
"missing_tokens": [],
|
| 38 |
+
"parse_format": null,
|
| 39 |
+
"impute_strategy": "mode",
|
| 40 |
+
"profile_stats": {
|
| 41 |
+
"missing_rate": 0.0,
|
| 42 |
+
"unique_count": 8,
|
| 43 |
+
"unique_ratio": 0.001048,
|
| 44 |
+
"example_values": [
|
| 45 |
+
"Portugal",
|
| 46 |
+
"Italy",
|
| 47 |
+
"Lithuania",
|
| 48 |
+
"Slovenia",
|
| 49 |
+
"Ireland"
|
| 50 |
+
]
|
| 51 |
+
}
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"name": "Question ID",
|
| 55 |
+
"role": "feature",
|
| 56 |
+
"semantic_type": "numeric",
|
| 57 |
+
"nullable": false,
|
| 58 |
+
"missing_tokens": [],
|
| 59 |
+
"parse_format": null,
|
| 60 |
+
"impute_strategy": "median",
|
| 61 |
+
"profile_stats": {
|
| 62 |
+
"missing_rate": 0.0,
|
| 63 |
+
"unique_count": 796,
|
| 64 |
+
"unique_ratio": 0.104243,
|
| 65 |
+
"example_values": [
|
| 66 |
+
"346",
|
| 67 |
+
"796",
|
| 68 |
+
"453",
|
| 69 |
+
"87",
|
| 70 |
+
"325"
|
| 71 |
+
]
|
| 72 |
+
}
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"name": "Type of Answer",
|
| 76 |
+
"role": "target",
|
| 77 |
+
"semantic_type": "boolean",
|
| 78 |
+
"nullable": false,
|
| 79 |
+
"missing_tokens": [],
|
| 80 |
+
"parse_format": null,
|
| 81 |
+
"impute_strategy": "mode",
|
| 82 |
+
"profile_stats": {
|
| 83 |
+
"missing_rate": 0.0,
|
| 84 |
+
"unique_count": 2,
|
| 85 |
+
"unique_ratio": 0.000262,
|
| 86 |
+
"example_values": [
|
| 87 |
+
"0",
|
| 88 |
+
"1"
|
| 89 |
+
]
|
| 90 |
+
}
|
| 91 |
+
},
|
| 92 |
+
{
|
| 93 |
+
"name": "Question Level",
|
| 94 |
+
"role": "feature",
|
| 95 |
+
"semantic_type": "categorical",
|
| 96 |
+
"nullable": false,
|
| 97 |
+
"missing_tokens": [],
|
| 98 |
+
"parse_format": null,
|
| 99 |
+
"impute_strategy": "mode",
|
| 100 |
+
"profile_stats": {
|
| 101 |
+
"missing_rate": 0.0,
|
| 102 |
+
"unique_count": 2,
|
| 103 |
+
"unique_ratio": 0.000262,
|
| 104 |
+
"example_values": [
|
| 105 |
+
"Advanced",
|
| 106 |
+
"Basic"
|
| 107 |
+
]
|
| 108 |
+
}
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"name": "Topic",
|
| 112 |
+
"role": "feature",
|
| 113 |
+
"semantic_type": "text",
|
| 114 |
+
"nullable": false,
|
| 115 |
+
"missing_tokens": [],
|
| 116 |
+
"parse_format": null,
|
| 117 |
+
"impute_strategy": "keep_raw",
|
| 118 |
+
"profile_stats": {
|
| 119 |
+
"missing_rate": 0.0,
|
| 120 |
+
"unique_count": 14,
|
| 121 |
+
"unique_ratio": 0.001833,
|
| 122 |
+
"example_values": [
|
| 123 |
+
"Complex Numbers",
|
| 124 |
+
"Fundamental Mathematics",
|
| 125 |
+
"Linear Algebra",
|
| 126 |
+
"Real Functions of a single variable",
|
| 127 |
+
"Analytic Geometry"
|
| 128 |
+
]
|
| 129 |
+
}
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"name": "Subtopic",
|
| 133 |
+
"role": "feature",
|
| 134 |
+
"semantic_type": "text",
|
| 135 |
+
"nullable": false,
|
| 136 |
+
"missing_tokens": [],
|
| 137 |
+
"parse_format": null,
|
| 138 |
+
"impute_strategy": "keep_raw",
|
| 139 |
+
"profile_stats": {
|
| 140 |
+
"missing_rate": 0.0,
|
| 141 |
+
"unique_count": 24,
|
| 142 |
+
"unique_ratio": 0.003143,
|
| 143 |
+
"example_values": [
|
| 144 |
+
"Complex Numbers",
|
| 145 |
+
"Algebraic expressions, Equations, and Inequalities",
|
| 146 |
+
"Vector Spaces",
|
| 147 |
+
"Limits and Continuity",
|
| 148 |
+
"Linear Transformations"
|
| 149 |
+
]
|
| 150 |
+
}
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"name": "Keywords",
|
| 154 |
+
"role": "feature",
|
| 155 |
+
"semantic_type": "text",
|
| 156 |
+
"nullable": false,
|
| 157 |
+
"missing_tokens": [],
|
| 158 |
+
"parse_format": null,
|
| 159 |
+
"impute_strategy": "keep_raw",
|
| 160 |
+
"profile_stats": {
|
| 161 |
+
"missing_rate": 0.0,
|
| 162 |
+
"unique_count": 360,
|
| 163 |
+
"unique_ratio": 0.047145,
|
| 164 |
+
"example_values": [
|
| 165 |
+
"Imaginary part,Modulus of a complex number,Operations with complex numbers,Conjugate number,Real part",
|
| 166 |
+
"Logarithmic function,Exponential function,Simplify expressions",
|
| 167 |
+
"Linear independence,Span,Linear dependence",
|
| 168 |
+
"Indeterminate forms,Limits",
|
| 169 |
+
"Range,Kernel"
|
| 170 |
+
]
|
| 171 |
+
}
|
| 172 |
+
}
|
| 173 |
+
]
|
| 174 |
+
}
|
syntheticFail/c6/tabddpm/tabddpm-c6-20260510_215455/run_config.json
ADDED
|
@@ -0,0 +1,45 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": 1,
|
| 3 |
+
"recorded_at": "2026-05-10T21:54:55",
|
| 4 |
+
"dataset_id": "c6",
|
| 5 |
+
"model": "tabddpm",
|
| 6 |
+
"work_dir": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c6/tabddpm/tabddpm-c6-20260510_215455",
|
| 7 |
+
"dataset_source_requested": "new",
|
| 8 |
+
"dataset_source_resolved": "new",
|
| 9 |
+
"cli_args": {
|
| 10 |
+
"model": "tabddpm",
|
| 11 |
+
"dataset": "c6",
|
| 12 |
+
"dataset_source": "new",
|
| 13 |
+
"train": true,
|
| 14 |
+
"generate": true,
|
| 15 |
+
"num_rows": 0,
|
| 16 |
+
"epochs": null,
|
| 17 |
+
"output_dir": null,
|
| 18 |
+
"model_dir": null,
|
| 19 |
+
"work_dir": null,
|
| 20 |
+
"resume": false,
|
| 21 |
+
"no_stats": false
|
| 22 |
+
},
|
| 23 |
+
"resolved": {
|
| 24 |
+
"num_rows": 7636,
|
| 25 |
+
"model_path": null,
|
| 26 |
+
"output_csv": null
|
| 27 |
+
},
|
| 28 |
+
"input_artifacts": {
|
| 29 |
+
"public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c6/tabddpm/tabddpm-c6-20260510_215455/public_gate/public_gate_report.json",
|
| 30 |
+
"public_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c6/tabddpm/tabddpm-c6-20260510_215455/public_gate/staged_input_manifest.json",
|
| 31 |
+
"model_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c6/tabddpm/tabddpm-c6-20260510_215455/staged/tabddpm/model_input_manifest.json",
|
| 32 |
+
"train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c6/tabddpm/tabddpm-c6-20260510_215455/staged/public/train.csv",
|
| 33 |
+
"features_json": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c6/tabddpm/tabddpm-c6-20260510_215455/staged/public/staged_features.json",
|
| 34 |
+
"target_column": "Type of Answer",
|
| 35 |
+
"task_type": "classification"
|
| 36 |
+
},
|
| 37 |
+
"env_overrides": {
|
| 38 |
+
"BENCHMARK_TABDDPM_GPUS": "device=3",
|
| 39 |
+
"TABDDPM_NUM_TIMESTEPS": "200",
|
| 40 |
+
"TABDDPM_SAMPLE_BATCH_SIZE": "256",
|
| 41 |
+
"TABDDPM_STEPS_PER_EPOCH": "40",
|
| 42 |
+
"TABDDPM_TRAIN_BATCH_SIZE": "256",
|
| 43 |
+
"TABDDPM_TRAIN_LR": "0.001"
|
| 44 |
+
}
|
| 45 |
+
}
|
syntheticFail/c6/tabddpm/tabddpm-c6-20260510_215455/runtime_result.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_id": "c6",
|
| 3 |
+
"model": "tabddpm",
|
| 4 |
+
"run_id": "tabddpm-c6-20260510_215455",
|
| 5 |
+
"public_gate_status": "pass",
|
| 6 |
+
"adapter_ready_status": "pass",
|
| 7 |
+
"train_status": "fail",
|
| 8 |
+
"generate_status": "skipped",
|
| 9 |
+
"reason_code": "adapter_runtime_error",
|
| 10 |
+
"reason_detail": "Command '['docker', 'run', '--rm', '--init', '--user', '1005:1005', '-e', 'HOME=/work/.home', '--cidfile', '/tmp/bench_docker_tabddpm_u9nri_i5/container.cid', '--gpus', 'device=3', '-v', '/data/jialinzhang/SynthesizePipeline-server:/work', '-w', '/work', '-v', '/data/jialinzhang/synthetic_benchmark/tabddpm/code:/workspace/tabddpm/code', 'benchmark:tabddpm-zjl', 'python', '/work/output-Benchmark-trainonly-v1/c6/tabddpm/tabddpm-c6-20260510_215455/_tabddpm_train.py']' returned non-zero exit status 1.",
|
| 11 |
+
"artifacts": {},
|
| 12 |
+
"timings": {
|
| 13 |
+
"train": {
|
| 14 |
+
"started_at": "2026-05-10T21:54:55",
|
| 15 |
+
"ended_at": "2026-05-10T21:54:56",
|
| 16 |
+
"duration_sec": 0.778
|
| 17 |
+
},
|
| 18 |
+
"generate": {
|
| 19 |
+
"started_at": null,
|
| 20 |
+
"ended_at": null,
|
| 21 |
+
"duration_sec": null
|
| 22 |
+
}
|
| 23 |
+
}
|
| 24 |
+
}
|
syntheticFail/c6/tabddpm/tabddpm-c6-20260510_215455/staged/public/staged_features.json
ADDED
|
@@ -0,0 +1,42 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
[
|
| 2 |
+
{
|
| 3 |
+
"feature_name": "Student ID",
|
| 4 |
+
"data_type": "continuous",
|
| 5 |
+
"is_target": false
|
| 6 |
+
},
|
| 7 |
+
{
|
| 8 |
+
"feature_name": "Student Country",
|
| 9 |
+
"data_type": "categorical",
|
| 10 |
+
"is_target": false
|
| 11 |
+
},
|
| 12 |
+
{
|
| 13 |
+
"feature_name": "Question ID",
|
| 14 |
+
"data_type": "continuous",
|
| 15 |
+
"is_target": false
|
| 16 |
+
},
|
| 17 |
+
{
|
| 18 |
+
"feature_name": "Type of Answer",
|
| 19 |
+
"data_type": "binary",
|
| 20 |
+
"is_target": true
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"feature_name": "Question Level",
|
| 24 |
+
"data_type": "categorical",
|
| 25 |
+
"is_target": false
|
| 26 |
+
},
|
| 27 |
+
{
|
| 28 |
+
"feature_name": "Topic",
|
| 29 |
+
"data_type": "categorical",
|
| 30 |
+
"is_target": false
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"feature_name": "Subtopic",
|
| 34 |
+
"data_type": "categorical",
|
| 35 |
+
"is_target": false
|
| 36 |
+
},
|
| 37 |
+
{
|
| 38 |
+
"feature_name": "Keywords",
|
| 39 |
+
"data_type": "categorical",
|
| 40 |
+
"is_target": false
|
| 41 |
+
}
|
| 42 |
+
]
|
syntheticFail/c6/tabddpm/tabddpm-c6-20260510_215455/staged/public/test.csv
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d28b60b361526450f0c203ddf50498854cb66ad5c1978516a99c265f529f8e4f
|
| 3 |
+
size 107696
|
syntheticFail/c6/tabddpm/tabddpm-c6-20260510_215455/staged/public/train.csv
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7d8f85a52de0e63e292778c26cb06223383b366c589d4226c3de68b111ba5272
|
| 3 |
+
size 849500
|
syntheticFail/c6/tabddpm/tabddpm-c6-20260510_215455/staged/public/val.csv
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9ede9f1e2036e743d822e8ed8d7b5e1050159e8fc7b402b758a294f7a14528fe
|
| 3 |
+
size 108137
|
syntheticFail/c6/tabddpm/tabddpm-c6-20260510_215455/staged/tabddpm/adapter_report.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"adapter_ready_status": "pass",
|
| 3 |
+
"adapter_fail_reason_code": null,
|
| 4 |
+
"adapter_fail_detail": null,
|
| 5 |
+
"adapter_transforms_applied": [],
|
| 6 |
+
"model_input_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c6/tabddpm/tabddpm-c6-20260510_215455/staged/tabddpm/model_input_manifest.json"
|
| 7 |
+
}
|
syntheticFail/c6/tabddpm/tabddpm-c6-20260510_215455/staged/tabddpm/adapter_transforms_applied.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
[]
|
syntheticFail/c6/tabddpm/tabddpm-c6-20260510_215455/staged/tabddpm/model_input_manifest.json
ADDED
|
@@ -0,0 +1,176 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_id": "c6",
|
| 3 |
+
"model": "tabddpm",
|
| 4 |
+
"target_column": "Type of Answer",
|
| 5 |
+
"task_type": "classification",
|
| 6 |
+
"column_schema": [
|
| 7 |
+
{
|
| 8 |
+
"name": "Student ID",
|
| 9 |
+
"role": "feature",
|
| 10 |
+
"semantic_type": "numeric",
|
| 11 |
+
"nullable": false,
|
| 12 |
+
"missing_tokens": [],
|
| 13 |
+
"parse_format": null,
|
| 14 |
+
"impute_strategy": "median",
|
| 15 |
+
"profile_stats": {
|
| 16 |
+
"missing_rate": 0.0,
|
| 17 |
+
"unique_count": 367,
|
| 18 |
+
"unique_ratio": 0.048062,
|
| 19 |
+
"example_values": [
|
| 20 |
+
"473",
|
| 21 |
+
"351",
|
| 22 |
+
"967",
|
| 23 |
+
"1557",
|
| 24 |
+
"394"
|
| 25 |
+
]
|
| 26 |
+
}
|
| 27 |
+
},
|
| 28 |
+
{
|
| 29 |
+
"name": "Student Country",
|
| 30 |
+
"role": "feature",
|
| 31 |
+
"semantic_type": "categorical",
|
| 32 |
+
"nullable": false,
|
| 33 |
+
"missing_tokens": [],
|
| 34 |
+
"parse_format": null,
|
| 35 |
+
"impute_strategy": "mode",
|
| 36 |
+
"profile_stats": {
|
| 37 |
+
"missing_rate": 0.0,
|
| 38 |
+
"unique_count": 8,
|
| 39 |
+
"unique_ratio": 0.001048,
|
| 40 |
+
"example_values": [
|
| 41 |
+
"Portugal",
|
| 42 |
+
"Italy",
|
| 43 |
+
"Lithuania",
|
| 44 |
+
"Slovenia",
|
| 45 |
+
"Ireland"
|
| 46 |
+
]
|
| 47 |
+
}
|
| 48 |
+
},
|
| 49 |
+
{
|
| 50 |
+
"name": "Question ID",
|
| 51 |
+
"role": "feature",
|
| 52 |
+
"semantic_type": "numeric",
|
| 53 |
+
"nullable": false,
|
| 54 |
+
"missing_tokens": [],
|
| 55 |
+
"parse_format": null,
|
| 56 |
+
"impute_strategy": "median",
|
| 57 |
+
"profile_stats": {
|
| 58 |
+
"missing_rate": 0.0,
|
| 59 |
+
"unique_count": 796,
|
| 60 |
+
"unique_ratio": 0.104243,
|
| 61 |
+
"example_values": [
|
| 62 |
+
"346",
|
| 63 |
+
"796",
|
| 64 |
+
"453",
|
| 65 |
+
"87",
|
| 66 |
+
"325"
|
| 67 |
+
]
|
| 68 |
+
}
|
| 69 |
+
},
|
| 70 |
+
{
|
| 71 |
+
"name": "Type of Answer",
|
| 72 |
+
"role": "target",
|
| 73 |
+
"semantic_type": "boolean",
|
| 74 |
+
"nullable": false,
|
| 75 |
+
"missing_tokens": [],
|
| 76 |
+
"parse_format": null,
|
| 77 |
+
"impute_strategy": "mode",
|
| 78 |
+
"profile_stats": {
|
| 79 |
+
"missing_rate": 0.0,
|
| 80 |
+
"unique_count": 2,
|
| 81 |
+
"unique_ratio": 0.000262,
|
| 82 |
+
"example_values": [
|
| 83 |
+
"0",
|
| 84 |
+
"1"
|
| 85 |
+
]
|
| 86 |
+
}
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"name": "Question Level",
|
| 90 |
+
"role": "feature",
|
| 91 |
+
"semantic_type": "categorical",
|
| 92 |
+
"nullable": false,
|
| 93 |
+
"missing_tokens": [],
|
| 94 |
+
"parse_format": null,
|
| 95 |
+
"impute_strategy": "mode",
|
| 96 |
+
"profile_stats": {
|
| 97 |
+
"missing_rate": 0.0,
|
| 98 |
+
"unique_count": 2,
|
| 99 |
+
"unique_ratio": 0.000262,
|
| 100 |
+
"example_values": [
|
| 101 |
+
"Advanced",
|
| 102 |
+
"Basic"
|
| 103 |
+
]
|
| 104 |
+
}
|
| 105 |
+
},
|
| 106 |
+
{
|
| 107 |
+
"name": "Topic",
|
| 108 |
+
"role": "feature",
|
| 109 |
+
"semantic_type": "text",
|
| 110 |
+
"nullable": false,
|
| 111 |
+
"missing_tokens": [],
|
| 112 |
+
"parse_format": null,
|
| 113 |
+
"impute_strategy": "keep_raw",
|
| 114 |
+
"profile_stats": {
|
| 115 |
+
"missing_rate": 0.0,
|
| 116 |
+
"unique_count": 14,
|
| 117 |
+
"unique_ratio": 0.001833,
|
| 118 |
+
"example_values": [
|
| 119 |
+
"Complex Numbers",
|
| 120 |
+
"Fundamental Mathematics",
|
| 121 |
+
"Linear Algebra",
|
| 122 |
+
"Real Functions of a single variable",
|
| 123 |
+
"Analytic Geometry"
|
| 124 |
+
]
|
| 125 |
+
}
|
| 126 |
+
},
|
| 127 |
+
{
|
| 128 |
+
"name": "Subtopic",
|
| 129 |
+
"role": "feature",
|
| 130 |
+
"semantic_type": "text",
|
| 131 |
+
"nullable": false,
|
| 132 |
+
"missing_tokens": [],
|
| 133 |
+
"parse_format": null,
|
| 134 |
+
"impute_strategy": "keep_raw",
|
| 135 |
+
"profile_stats": {
|
| 136 |
+
"missing_rate": 0.0,
|
| 137 |
+
"unique_count": 24,
|
| 138 |
+
"unique_ratio": 0.003143,
|
| 139 |
+
"example_values": [
|
| 140 |
+
"Complex Numbers",
|
| 141 |
+
"Algebraic expressions, Equations, and Inequalities",
|
| 142 |
+
"Vector Spaces",
|
| 143 |
+
"Limits and Continuity",
|
| 144 |
+
"Linear Transformations"
|
| 145 |
+
]
|
| 146 |
+
}
|
| 147 |
+
},
|
| 148 |
+
{
|
| 149 |
+
"name": "Keywords",
|
| 150 |
+
"role": "feature",
|
| 151 |
+
"semantic_type": "text",
|
| 152 |
+
"nullable": false,
|
| 153 |
+
"missing_tokens": [],
|
| 154 |
+
"parse_format": null,
|
| 155 |
+
"impute_strategy": "keep_raw",
|
| 156 |
+
"profile_stats": {
|
| 157 |
+
"missing_rate": 0.0,
|
| 158 |
+
"unique_count": 360,
|
| 159 |
+
"unique_ratio": 0.047145,
|
| 160 |
+
"example_values": [
|
| 161 |
+
"Imaginary part,Modulus of a complex number,Operations with complex numbers,Conjugate number,Real part",
|
| 162 |
+
"Logarithmic function,Exponential function,Simplify expressions",
|
| 163 |
+
"Linear independence,Span,Linear dependence",
|
| 164 |
+
"Indeterminate forms,Limits",
|
| 165 |
+
"Range,Kernel"
|
| 166 |
+
]
|
| 167 |
+
}
|
| 168 |
+
}
|
| 169 |
+
],
|
| 170 |
+
"public_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c6/tabddpm/tabddpm-c6-20260510_215455/public_gate/staged_input_manifest.json",
|
| 171 |
+
"train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c6/tabddpm/tabddpm-c6-20260510_215455/staged/public/train.csv",
|
| 172 |
+
"val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c6/tabddpm/tabddpm-c6-20260510_215455/staged/public/val.csv",
|
| 173 |
+
"test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c6/tabddpm/tabddpm-c6-20260510_215455/staged/public/test.csv",
|
| 174 |
+
"features_json": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c6/tabddpm/tabddpm-c6-20260510_215455/staged/public/staged_features.json",
|
| 175 |
+
"public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c6/tabddpm/tabddpm-c6-20260510_215455/public_gate/public_gate_report.json"
|
| 176 |
+
}
|
syntheticFail/c6/tabddpm/tabddpm-c6-20260510_215455/train_20260510_215455.log
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0003356852e3f658a42d8c28eecff12b509de7a345e318c0265f6c6240265be5
|
| 3 |
+
size 575
|