jialinzhang commited on
Commit ·
4e72566
1
Parent(s): df641fb
Add syntheticFail m1
Browse files- syntheticFail/m1/forestdiffusion/forest-m1-20260502_162341/_fd_X_host.npy +3 -0
- syntheticFail/m1/forestdiffusion/forest-m1-20260502_162341/_fd_meta_host.json +1 -0
- syntheticFail/m1/forestdiffusion/forest-m1-20260502_162341/_fd_train.py +28 -0
- syntheticFail/m1/forestdiffusion/forest-m1-20260502_162341/input_snapshot.json +36 -0
- syntheticFail/m1/forestdiffusion/forest-m1-20260502_162341/public_gate/normalized_schema_snapshot.json +625 -0
- syntheticFail/m1/forestdiffusion/forest-m1-20260502_162341/public_gate/public_gate_report.json +37 -0
- syntheticFail/m1/forestdiffusion/forest-m1-20260502_162341/public_gate/staged_input_manifest.json +630 -0
- syntheticFail/m1/forestdiffusion/forest-m1-20260502_162341/runtime_result.json +24 -0
- syntheticFail/m1/forestdiffusion/forest-m1-20260502_162341/staged/forestdiffusion/adapter_report.json +7 -0
- syntheticFail/m1/forestdiffusion/forest-m1-20260502_162341/staged/forestdiffusion/adapter_transforms_applied.json +1 -0
- syntheticFail/m1/forestdiffusion/forest-m1-20260502_162341/staged/forestdiffusion/model_input_manifest.json +632 -0
- syntheticFail/m1/forestdiffusion/forest-m1-20260502_162341/staged/public/staged_features.json +152 -0
- syntheticFail/m1/forestdiffusion/forest-m1-20260502_162341/staged/public/test.csv +3 -0
- syntheticFail/m1/forestdiffusion/forest-m1-20260502_162341/staged/public/train.csv +3 -0
- syntheticFail/m1/forestdiffusion/forest-m1-20260502_162341/staged/public/val.csv +3 -0
- syntheticFail/m1/forestdiffusion/forest-m1-20260502_162341/train_20260502_162341.log +3 -0
syntheticFail/m1/forestdiffusion/forest-m1-20260502_162341/_fd_X_host.npy
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:00ab7974a4cde5bd361d1192781607860ced378daa096e94876658e3dcb6da3c
|
| 3 |
+
size 144128
|
syntheticFail/m1/forestdiffusion/forest-m1-20260502_162341/_fd_meta_host.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"column_names": ["Employee_ID", "Age", "Years_Experience", "WFH_Days_Per_Week", "Gender", "Education_Level", "Marital_Status", "Has_Children", "Location_Type", "Department", "Job_Level", "Company_Size", "Industry", "Home_Office_Quality", "Internet_Speed_Category", "Work_Hours_Per_Week", "Manager_Support_Level", "Team_Collaboration_Frequency", "Productivity_Score", "Task_Completion_Rate", "Quality_Score", "Innovation_Score", "Efficiency_Rating", "Meetings_Per_Week", "Commute_Time_Minutes", "Job_Satisfaction", "Stress_Level", "Work_Life_Balance", "Survey_Date", "Response_Quality"], "cat_indexes": [0, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 17, 28]}
|
syntheticFail/m1/forestdiffusion/forest-m1-20260502_162341/_fd_train.py
ADDED
|
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
|
| 2 |
+
import shutil, json
|
| 3 |
+
shutil.copy(r'/work/output-Benchmark-trainonly-v1/m1/forestdiffusion/forest-m1-20260502_162341/_fd_X_host.npy', '/tmp/fd_X.npy')
|
| 4 |
+
with open(r'/work/output-Benchmark-trainonly-v1/m1/forestdiffusion/forest-m1-20260502_162341/_fd_meta_host.json') as f:
|
| 5 |
+
open('/tmp/fd_meta.json','w').write(f.read())
|
| 6 |
+
|
| 7 |
+
import numpy as np, joblib, json, os
|
| 8 |
+
from ForestDiffusion import ForestDiffusionModel
|
| 9 |
+
X = np.load("/tmp/fd_X.npy")
|
| 10 |
+
with open("/tmp/fd_meta.json") as f:
|
| 11 |
+
meta = json.load(f)
|
| 12 |
+
cat_indexes = meta["cat_indexes"]
|
| 13 |
+
print(
|
| 14 |
+
"[ForestDiffusion] train config: "
|
| 15 |
+
f"rows={X.shape[0]} cols={X.shape[1]} n_t=20 "
|
| 16 |
+
f"n_estimators=100 duplicate_K=20 n_jobs=2 "
|
| 17 |
+
f"xgb_verbosity=1",
|
| 18 |
+
flush=True,
|
| 19 |
+
)
|
| 20 |
+
m = ForestDiffusionModel(
|
| 21 |
+
X, n_t=20, n_estimators=100, duplicate_K=20, n_jobs=2,
|
| 22 |
+
model="xgboost", max_depth=6, tree_method="hist", cat_indexes=cat_indexes,
|
| 23 |
+
verbosity=1,
|
| 24 |
+
)
|
| 25 |
+
joblib.dump((m, meta), "/tmp/fd_model.joblib")
|
| 26 |
+
print("ForestDiffusion train OK")
|
| 27 |
+
|
| 28 |
+
shutil.copy('/tmp/fd_model.joblib', r'/work/output-Benchmark-trainonly-v1/m1/forestdiffusion/forest-m1-20260502_162341/forestdiffusion_model.joblib')
|
syntheticFail/m1/forestdiffusion/forest-m1-20260502_162341/input_snapshot.json
ADDED
|
@@ -0,0 +1,36 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_id": "m1",
|
| 3 |
+
"model": "forestdiffusion",
|
| 4 |
+
"inputs": {
|
| 5 |
+
"train_csv": {
|
| 6 |
+
"path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m1/m1-train.csv",
|
| 7 |
+
"exists": true,
|
| 8 |
+
"size": 247736,
|
| 9 |
+
"sha256": "28658fdcbade81b9228e4ee5f9e62cadcf890698f730afc2be402c32a71e151b"
|
| 10 |
+
},
|
| 11 |
+
"val_csv": {
|
| 12 |
+
"path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m1/m1-val.csv",
|
| 13 |
+
"exists": true,
|
| 14 |
+
"size": 31474,
|
| 15 |
+
"sha256": "456422d2c2f69adfe81c81e2e6be1bf6fee895a582b8b63462ff234f90872927"
|
| 16 |
+
},
|
| 17 |
+
"test_csv": {
|
| 18 |
+
"path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m1/m1-test.csv",
|
| 19 |
+
"exists": true,
|
| 20 |
+
"size": 31470,
|
| 21 |
+
"sha256": "e0c692b62a23156b1c7d1895a979efb671de3e8a79399169602adeafb5733764"
|
| 22 |
+
},
|
| 23 |
+
"profile_json": {
|
| 24 |
+
"path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/m1/m1-dataset_profile.json",
|
| 25 |
+
"exists": true,
|
| 26 |
+
"size": 12335,
|
| 27 |
+
"sha256": "bec761b39442c197addda4f50857b05419b1209fd5da1163d5a5ec10f0a79c62"
|
| 28 |
+
},
|
| 29 |
+
"contract_json": {
|
| 30 |
+
"path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/m1/m1-dataset_contract_v1.json",
|
| 31 |
+
"exists": true,
|
| 32 |
+
"size": 14869,
|
| 33 |
+
"sha256": "5dd17025fe3446132776c80de35ceea1682db199b4e0c374bbb9b622c76a6180"
|
| 34 |
+
}
|
| 35 |
+
}
|
| 36 |
+
}
|
syntheticFail/m1/forestdiffusion/forest-m1-20260502_162341/public_gate/normalized_schema_snapshot.json
ADDED
|
@@ -0,0 +1,625 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_id": "m1",
|
| 3 |
+
"target_column": "Response_Quality",
|
| 4 |
+
"task_type": "classification",
|
| 5 |
+
"columns": [
|
| 6 |
+
{
|
| 7 |
+
"name": "Employee_ID",
|
| 8 |
+
"role": "id",
|
| 9 |
+
"semantic_type": "id",
|
| 10 |
+
"nullable": false,
|
| 11 |
+
"missing_tokens": [],
|
| 12 |
+
"parse_format": null,
|
| 13 |
+
"impute_strategy": "keep_raw",
|
| 14 |
+
"profile_stats": {
|
| 15 |
+
"missing_rate": 0.0,
|
| 16 |
+
"unique_count": 1200,
|
| 17 |
+
"unique_ratio": 1.0,
|
| 18 |
+
"example_values": [
|
| 19 |
+
"EMP1304",
|
| 20 |
+
"EMP0398",
|
| 21 |
+
"EMP0387",
|
| 22 |
+
"EMP0550",
|
| 23 |
+
"EMP0598"
|
| 24 |
+
]
|
| 25 |
+
}
|
| 26 |
+
},
|
| 27 |
+
{
|
| 28 |
+
"name": "Age",
|
| 29 |
+
"role": "feature",
|
| 30 |
+
"semantic_type": "numeric",
|
| 31 |
+
"nullable": false,
|
| 32 |
+
"missing_tokens": [],
|
| 33 |
+
"parse_format": null,
|
| 34 |
+
"impute_strategy": "median",
|
| 35 |
+
"profile_stats": {
|
| 36 |
+
"missing_rate": 0.0,
|
| 37 |
+
"unique_count": 39,
|
| 38 |
+
"unique_ratio": 0.0325,
|
| 39 |
+
"example_values": [
|
| 40 |
+
"28",
|
| 41 |
+
"47",
|
| 42 |
+
"38",
|
| 43 |
+
"29",
|
| 44 |
+
"26"
|
| 45 |
+
]
|
| 46 |
+
}
|
| 47 |
+
},
|
| 48 |
+
{
|
| 49 |
+
"name": "Years_Experience",
|
| 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": 29,
|
| 59 |
+
"unique_ratio": 0.024167,
|
| 60 |
+
"example_values": [
|
| 61 |
+
"3",
|
| 62 |
+
"7",
|
| 63 |
+
"11",
|
| 64 |
+
"4",
|
| 65 |
+
"2"
|
| 66 |
+
]
|
| 67 |
+
}
|
| 68 |
+
},
|
| 69 |
+
{
|
| 70 |
+
"name": "WFH_Days_Per_Week",
|
| 71 |
+
"role": "feature",
|
| 72 |
+
"semantic_type": "numeric",
|
| 73 |
+
"nullable": false,
|
| 74 |
+
"missing_tokens": [],
|
| 75 |
+
"parse_format": null,
|
| 76 |
+
"impute_strategy": "median",
|
| 77 |
+
"profile_stats": {
|
| 78 |
+
"missing_rate": 0.0,
|
| 79 |
+
"unique_count": 6,
|
| 80 |
+
"unique_ratio": 0.005,
|
| 81 |
+
"example_values": [
|
| 82 |
+
"5",
|
| 83 |
+
"4",
|
| 84 |
+
"2",
|
| 85 |
+
"3",
|
| 86 |
+
"1"
|
| 87 |
+
]
|
| 88 |
+
}
|
| 89 |
+
},
|
| 90 |
+
{
|
| 91 |
+
"name": "Gender",
|
| 92 |
+
"role": "feature",
|
| 93 |
+
"semantic_type": "categorical",
|
| 94 |
+
"nullable": false,
|
| 95 |
+
"missing_tokens": [],
|
| 96 |
+
"parse_format": null,
|
| 97 |
+
"impute_strategy": "mode",
|
| 98 |
+
"profile_stats": {
|
| 99 |
+
"missing_rate": 0.0,
|
| 100 |
+
"unique_count": 3,
|
| 101 |
+
"unique_ratio": 0.0025,
|
| 102 |
+
"example_values": [
|
| 103 |
+
"Female",
|
| 104 |
+
"Male",
|
| 105 |
+
"Non-binary"
|
| 106 |
+
]
|
| 107 |
+
}
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"name": "Education_Level",
|
| 111 |
+
"role": "feature",
|
| 112 |
+
"semantic_type": "text",
|
| 113 |
+
"nullable": false,
|
| 114 |
+
"missing_tokens": [],
|
| 115 |
+
"parse_format": null,
|
| 116 |
+
"impute_strategy": "keep_raw",
|
| 117 |
+
"profile_stats": {
|
| 118 |
+
"missing_rate": 0.0,
|
| 119 |
+
"unique_count": 6,
|
| 120 |
+
"unique_ratio": 0.005,
|
| 121 |
+
"example_values": [
|
| 122 |
+
"Bachelor Degree",
|
| 123 |
+
"Master Degree",
|
| 124 |
+
"PhD",
|
| 125 |
+
"Associate Degree",
|
| 126 |
+
"Professional Degree"
|
| 127 |
+
]
|
| 128 |
+
}
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"name": "Marital_Status",
|
| 132 |
+
"role": "feature",
|
| 133 |
+
"semantic_type": "categorical",
|
| 134 |
+
"nullable": false,
|
| 135 |
+
"missing_tokens": [],
|
| 136 |
+
"parse_format": null,
|
| 137 |
+
"impute_strategy": "mode",
|
| 138 |
+
"profile_stats": {
|
| 139 |
+
"missing_rate": 0.0,
|
| 140 |
+
"unique_count": 4,
|
| 141 |
+
"unique_ratio": 0.003333,
|
| 142 |
+
"example_values": [
|
| 143 |
+
"Married",
|
| 144 |
+
"Single",
|
| 145 |
+
"Divorced",
|
| 146 |
+
"In Relationship"
|
| 147 |
+
]
|
| 148 |
+
}
|
| 149 |
+
},
|
| 150 |
+
{
|
| 151 |
+
"name": "Has_Children",
|
| 152 |
+
"role": "feature",
|
| 153 |
+
"semantic_type": "boolean",
|
| 154 |
+
"nullable": false,
|
| 155 |
+
"missing_tokens": [],
|
| 156 |
+
"parse_format": null,
|
| 157 |
+
"impute_strategy": "mode",
|
| 158 |
+
"profile_stats": {
|
| 159 |
+
"missing_rate": 0.0,
|
| 160 |
+
"unique_count": 2,
|
| 161 |
+
"unique_ratio": 0.001667,
|
| 162 |
+
"example_values": [
|
| 163 |
+
"Yes",
|
| 164 |
+
"No"
|
| 165 |
+
]
|
| 166 |
+
}
|
| 167 |
+
},
|
| 168 |
+
{
|
| 169 |
+
"name": "Location_Type",
|
| 170 |
+
"role": "feature",
|
| 171 |
+
"semantic_type": "categorical",
|
| 172 |
+
"nullable": false,
|
| 173 |
+
"missing_tokens": [],
|
| 174 |
+
"parse_format": null,
|
| 175 |
+
"impute_strategy": "mode",
|
| 176 |
+
"profile_stats": {
|
| 177 |
+
"missing_rate": 0.0,
|
| 178 |
+
"unique_count": 3,
|
| 179 |
+
"unique_ratio": 0.0025,
|
| 180 |
+
"example_values": [
|
| 181 |
+
"Urban",
|
| 182 |
+
"Suburban",
|
| 183 |
+
"Rural"
|
| 184 |
+
]
|
| 185 |
+
}
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"name": "Department",
|
| 189 |
+
"role": "feature",
|
| 190 |
+
"semantic_type": "categorical",
|
| 191 |
+
"nullable": false,
|
| 192 |
+
"missing_tokens": [],
|
| 193 |
+
"parse_format": null,
|
| 194 |
+
"impute_strategy": "mode",
|
| 195 |
+
"profile_stats": {
|
| 196 |
+
"missing_rate": 0.0,
|
| 197 |
+
"unique_count": 10,
|
| 198 |
+
"unique_ratio": 0.008333,
|
| 199 |
+
"example_values": [
|
| 200 |
+
"Engineering",
|
| 201 |
+
"Sales",
|
| 202 |
+
"Finance",
|
| 203 |
+
"Marketing",
|
| 204 |
+
"Operations"
|
| 205 |
+
]
|
| 206 |
+
}
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"name": "Job_Level",
|
| 210 |
+
"role": "feature",
|
| 211 |
+
"semantic_type": "categorical",
|
| 212 |
+
"nullable": false,
|
| 213 |
+
"missing_tokens": [],
|
| 214 |
+
"parse_format": null,
|
| 215 |
+
"impute_strategy": "mode",
|
| 216 |
+
"profile_stats": {
|
| 217 |
+
"missing_rate": 0.0,
|
| 218 |
+
"unique_count": 6,
|
| 219 |
+
"unique_ratio": 0.005,
|
| 220 |
+
"example_values": [
|
| 221 |
+
"Senior",
|
| 222 |
+
"Mid-Level",
|
| 223 |
+
"Lead",
|
| 224 |
+
"Junior",
|
| 225 |
+
"Manager"
|
| 226 |
+
]
|
| 227 |
+
}
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"name": "Company_Size",
|
| 231 |
+
"role": "feature",
|
| 232 |
+
"semantic_type": "text",
|
| 233 |
+
"nullable": false,
|
| 234 |
+
"missing_tokens": [],
|
| 235 |
+
"parse_format": null,
|
| 236 |
+
"impute_strategy": "keep_raw",
|
| 237 |
+
"profile_stats": {
|
| 238 |
+
"missing_rate": 0.0,
|
| 239 |
+
"unique_count": 5,
|
| 240 |
+
"unique_ratio": 0.004167,
|
| 241 |
+
"example_values": [
|
| 242 |
+
"Large (1001-5000)",
|
| 243 |
+
"Enterprise (5000+)",
|
| 244 |
+
"Startup (1-50)",
|
| 245 |
+
"Medium (201-1000)",
|
| 246 |
+
"Small (51-200)"
|
| 247 |
+
]
|
| 248 |
+
}
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"name": "Industry",
|
| 252 |
+
"role": "feature",
|
| 253 |
+
"semantic_type": "categorical",
|
| 254 |
+
"nullable": false,
|
| 255 |
+
"missing_tokens": [],
|
| 256 |
+
"parse_format": null,
|
| 257 |
+
"impute_strategy": "mode",
|
| 258 |
+
"profile_stats": {
|
| 259 |
+
"missing_rate": 0.0,
|
| 260 |
+
"unique_count": 10,
|
| 261 |
+
"unique_ratio": 0.008333,
|
| 262 |
+
"example_values": [
|
| 263 |
+
"Healthcare",
|
| 264 |
+
"Non-profit",
|
| 265 |
+
"Manufacturing",
|
| 266 |
+
"Technology",
|
| 267 |
+
"Consulting"
|
| 268 |
+
]
|
| 269 |
+
}
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"name": "Home_Office_Quality",
|
| 273 |
+
"role": "feature",
|
| 274 |
+
"semantic_type": "categorical",
|
| 275 |
+
"nullable": false,
|
| 276 |
+
"missing_tokens": [],
|
| 277 |
+
"parse_format": null,
|
| 278 |
+
"impute_strategy": "mode",
|
| 279 |
+
"profile_stats": {
|
| 280 |
+
"missing_rate": 0.0,
|
| 281 |
+
"unique_count": 4,
|
| 282 |
+
"unique_ratio": 0.003333,
|
| 283 |
+
"example_values": [
|
| 284 |
+
"Average",
|
| 285 |
+
"Excellent",
|
| 286 |
+
"Good",
|
| 287 |
+
"Poor"
|
| 288 |
+
]
|
| 289 |
+
}
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"name": "Internet_Speed_Category",
|
| 293 |
+
"role": "feature",
|
| 294 |
+
"semantic_type": "text",
|
| 295 |
+
"nullable": false,
|
| 296 |
+
"missing_tokens": [],
|
| 297 |
+
"parse_format": null,
|
| 298 |
+
"impute_strategy": "keep_raw",
|
| 299 |
+
"profile_stats": {
|
| 300 |
+
"missing_rate": 0.0,
|
| 301 |
+
"unique_count": 4,
|
| 302 |
+
"unique_ratio": 0.003333,
|
| 303 |
+
"example_values": [
|
| 304 |
+
"Very Fast (100+ Mbps)",
|
| 305 |
+
"Fast (50-100 Mbps)",
|
| 306 |
+
"Moderate (25-50 Mbps)",
|
| 307 |
+
"Slow (<25 Mbps)"
|
| 308 |
+
]
|
| 309 |
+
}
|
| 310 |
+
},
|
| 311 |
+
{
|
| 312 |
+
"name": "Work_Hours_Per_Week",
|
| 313 |
+
"role": "feature",
|
| 314 |
+
"semantic_type": "numeric",
|
| 315 |
+
"nullable": false,
|
| 316 |
+
"missing_tokens": [],
|
| 317 |
+
"parse_format": null,
|
| 318 |
+
"impute_strategy": "median",
|
| 319 |
+
"profile_stats": {
|
| 320 |
+
"missing_rate": 0.0,
|
| 321 |
+
"unique_count": 36,
|
| 322 |
+
"unique_ratio": 0.03,
|
| 323 |
+
"example_values": [
|
| 324 |
+
"51",
|
| 325 |
+
"40",
|
| 326 |
+
"39",
|
| 327 |
+
"38",
|
| 328 |
+
"49"
|
| 329 |
+
]
|
| 330 |
+
}
|
| 331 |
+
},
|
| 332 |
+
{
|
| 333 |
+
"name": "Manager_Support_Level",
|
| 334 |
+
"role": "feature",
|
| 335 |
+
"semantic_type": "categorical",
|
| 336 |
+
"nullable": false,
|
| 337 |
+
"missing_tokens": [],
|
| 338 |
+
"parse_format": null,
|
| 339 |
+
"impute_strategy": "mode",
|
| 340 |
+
"profile_stats": {
|
| 341 |
+
"missing_rate": 0.0,
|
| 342 |
+
"unique_count": 5,
|
| 343 |
+
"unique_ratio": 0.004167,
|
| 344 |
+
"example_values": [
|
| 345 |
+
"High",
|
| 346 |
+
"Moderate",
|
| 347 |
+
"Very High",
|
| 348 |
+
"Low",
|
| 349 |
+
"Very Low"
|
| 350 |
+
]
|
| 351 |
+
}
|
| 352 |
+
},
|
| 353 |
+
{
|
| 354 |
+
"name": "Team_Collaboration_Frequency",
|
| 355 |
+
"role": "feature",
|
| 356 |
+
"semantic_type": "categorical",
|
| 357 |
+
"nullable": false,
|
| 358 |
+
"missing_tokens": [],
|
| 359 |
+
"parse_format": null,
|
| 360 |
+
"impute_strategy": "mode",
|
| 361 |
+
"profile_stats": {
|
| 362 |
+
"missing_rate": 0.0,
|
| 363 |
+
"unique_count": 5,
|
| 364 |
+
"unique_ratio": 0.004167,
|
| 365 |
+
"example_values": [
|
| 366 |
+
"Few times per week",
|
| 367 |
+
"Monthly",
|
| 368 |
+
"Bi-weekly",
|
| 369 |
+
"Daily",
|
| 370 |
+
"Weekly"
|
| 371 |
+
]
|
| 372 |
+
}
|
| 373 |
+
},
|
| 374 |
+
{
|
| 375 |
+
"name": "Productivity_Score",
|
| 376 |
+
"role": "feature",
|
| 377 |
+
"semantic_type": "numeric",
|
| 378 |
+
"nullable": false,
|
| 379 |
+
"missing_tokens": [],
|
| 380 |
+
"parse_format": null,
|
| 381 |
+
"impute_strategy": "median",
|
| 382 |
+
"profile_stats": {
|
| 383 |
+
"missing_rate": 0.0,
|
| 384 |
+
"unique_count": 403,
|
| 385 |
+
"unique_ratio": 0.335833,
|
| 386 |
+
"example_values": [
|
| 387 |
+
"98.0",
|
| 388 |
+
"95.5",
|
| 389 |
+
"94.7",
|
| 390 |
+
"70.4",
|
| 391 |
+
"78.6"
|
| 392 |
+
]
|
| 393 |
+
}
|
| 394 |
+
},
|
| 395 |
+
{
|
| 396 |
+
"name": "Task_Completion_Rate",
|
| 397 |
+
"role": "feature",
|
| 398 |
+
"semantic_type": "numeric",
|
| 399 |
+
"nullable": false,
|
| 400 |
+
"missing_tokens": [],
|
| 401 |
+
"parse_format": null,
|
| 402 |
+
"impute_strategy": "median",
|
| 403 |
+
"profile_stats": {
|
| 404 |
+
"missing_rate": 0.0,
|
| 405 |
+
"unique_count": 439,
|
| 406 |
+
"unique_ratio": 0.365833,
|
| 407 |
+
"example_values": [
|
| 408 |
+
"92.7",
|
| 409 |
+
"100.0",
|
| 410 |
+
"99.4",
|
| 411 |
+
"88.3",
|
| 412 |
+
"88.4"
|
| 413 |
+
]
|
| 414 |
+
}
|
| 415 |
+
},
|
| 416 |
+
{
|
| 417 |
+
"name": "Quality_Score",
|
| 418 |
+
"role": "feature",
|
| 419 |
+
"semantic_type": "numeric",
|
| 420 |
+
"nullable": false,
|
| 421 |
+
"missing_tokens": [],
|
| 422 |
+
"parse_format": null,
|
| 423 |
+
"impute_strategy": "median",
|
| 424 |
+
"profile_stats": {
|
| 425 |
+
"missing_rate": 0.0,
|
| 426 |
+
"unique_count": 394,
|
| 427 |
+
"unique_ratio": 0.328333,
|
| 428 |
+
"example_values": [
|
| 429 |
+
"88.7",
|
| 430 |
+
"84.4",
|
| 431 |
+
"98.9",
|
| 432 |
+
"96.1",
|
| 433 |
+
"75.5"
|
| 434 |
+
]
|
| 435 |
+
}
|
| 436 |
+
},
|
| 437 |
+
{
|
| 438 |
+
"name": "Innovation_Score",
|
| 439 |
+
"role": "feature",
|
| 440 |
+
"semantic_type": "numeric",
|
| 441 |
+
"nullable": false,
|
| 442 |
+
"missing_tokens": [],
|
| 443 |
+
"parse_format": null,
|
| 444 |
+
"impute_strategy": "median",
|
| 445 |
+
"profile_stats": {
|
| 446 |
+
"missing_rate": 0.0,
|
| 447 |
+
"unique_count": 462,
|
| 448 |
+
"unique_ratio": 0.385,
|
| 449 |
+
"example_values": [
|
| 450 |
+
"87.8",
|
| 451 |
+
"83.9",
|
| 452 |
+
"80.3",
|
| 453 |
+
"93.0",
|
| 454 |
+
"62.1"
|
| 455 |
+
]
|
| 456 |
+
}
|
| 457 |
+
},
|
| 458 |
+
{
|
| 459 |
+
"name": "Efficiency_Rating",
|
| 460 |
+
"role": "feature",
|
| 461 |
+
"semantic_type": "numeric",
|
| 462 |
+
"nullable": false,
|
| 463 |
+
"missing_tokens": [],
|
| 464 |
+
"parse_format": null,
|
| 465 |
+
"impute_strategy": "median",
|
| 466 |
+
"profile_stats": {
|
| 467 |
+
"missing_rate": 0.0,
|
| 468 |
+
"unique_count": 228,
|
| 469 |
+
"unique_ratio": 0.19,
|
| 470 |
+
"example_values": [
|
| 471 |
+
"95.0",
|
| 472 |
+
"78.2",
|
| 473 |
+
"93.7",
|
| 474 |
+
"79.9",
|
| 475 |
+
"63.4"
|
| 476 |
+
]
|
| 477 |
+
}
|
| 478 |
+
},
|
| 479 |
+
{
|
| 480 |
+
"name": "Meetings_Per_Week",
|
| 481 |
+
"role": "feature",
|
| 482 |
+
"semantic_type": "numeric",
|
| 483 |
+
"nullable": false,
|
| 484 |
+
"missing_tokens": [],
|
| 485 |
+
"parse_format": null,
|
| 486 |
+
"impute_strategy": "median",
|
| 487 |
+
"profile_stats": {
|
| 488 |
+
"missing_rate": 0.0,
|
| 489 |
+
"unique_count": 19,
|
| 490 |
+
"unique_ratio": 0.015833,
|
| 491 |
+
"example_values": [
|
| 492 |
+
"11",
|
| 493 |
+
"10",
|
| 494 |
+
"7",
|
| 495 |
+
"8",
|
| 496 |
+
"6"
|
| 497 |
+
]
|
| 498 |
+
}
|
| 499 |
+
},
|
| 500 |
+
{
|
| 501 |
+
"name": "Commute_Time_Minutes",
|
| 502 |
+
"role": "feature",
|
| 503 |
+
"semantic_type": "numeric",
|
| 504 |
+
"nullable": false,
|
| 505 |
+
"missing_tokens": [],
|
| 506 |
+
"parse_format": null,
|
| 507 |
+
"impute_strategy": "median",
|
| 508 |
+
"profile_stats": {
|
| 509 |
+
"missing_rate": 0.0,
|
| 510 |
+
"unique_count": 85,
|
| 511 |
+
"unique_ratio": 0.070833,
|
| 512 |
+
"example_values": [
|
| 513 |
+
"0",
|
| 514 |
+
"18",
|
| 515 |
+
"39",
|
| 516 |
+
"25",
|
| 517 |
+
"44"
|
| 518 |
+
]
|
| 519 |
+
}
|
| 520 |
+
},
|
| 521 |
+
{
|
| 522 |
+
"name": "Job_Satisfaction",
|
| 523 |
+
"role": "feature",
|
| 524 |
+
"semantic_type": "numeric",
|
| 525 |
+
"nullable": false,
|
| 526 |
+
"missing_tokens": [],
|
| 527 |
+
"parse_format": null,
|
| 528 |
+
"impute_strategy": "median",
|
| 529 |
+
"profile_stats": {
|
| 530 |
+
"missing_rate": 0.0,
|
| 531 |
+
"unique_count": 215,
|
| 532 |
+
"unique_ratio": 0.179167,
|
| 533 |
+
"example_values": [
|
| 534 |
+
"100.0",
|
| 535 |
+
"91.1",
|
| 536 |
+
"81.4",
|
| 537 |
+
"77.0",
|
| 538 |
+
"98.6"
|
| 539 |
+
]
|
| 540 |
+
}
|
| 541 |
+
},
|
| 542 |
+
{
|
| 543 |
+
"name": "Stress_Level",
|
| 544 |
+
"role": "feature",
|
| 545 |
+
"semantic_type": "numeric",
|
| 546 |
+
"nullable": false,
|
| 547 |
+
"missing_tokens": [],
|
| 548 |
+
"parse_format": null,
|
| 549 |
+
"impute_strategy": "median",
|
| 550 |
+
"profile_stats": {
|
| 551 |
+
"missing_rate": 0.0,
|
| 552 |
+
"unique_count": 10,
|
| 553 |
+
"unique_ratio": 0.008333,
|
| 554 |
+
"example_values": [
|
| 555 |
+
"8",
|
| 556 |
+
"4",
|
| 557 |
+
"10",
|
| 558 |
+
"6",
|
| 559 |
+
"7"
|
| 560 |
+
]
|
| 561 |
+
}
|
| 562 |
+
},
|
| 563 |
+
{
|
| 564 |
+
"name": "Work_Life_Balance",
|
| 565 |
+
"role": "feature",
|
| 566 |
+
"semantic_type": "numeric",
|
| 567 |
+
"nullable": false,
|
| 568 |
+
"missing_tokens": [],
|
| 569 |
+
"parse_format": null,
|
| 570 |
+
"impute_strategy": "median",
|
| 571 |
+
"profile_stats": {
|
| 572 |
+
"missing_rate": 0.0,
|
| 573 |
+
"unique_count": 10,
|
| 574 |
+
"unique_ratio": 0.008333,
|
| 575 |
+
"example_values": [
|
| 576 |
+
"9",
|
| 577 |
+
"5",
|
| 578 |
+
"4",
|
| 579 |
+
"2",
|
| 580 |
+
"8"
|
| 581 |
+
]
|
| 582 |
+
}
|
| 583 |
+
},
|
| 584 |
+
{
|
| 585 |
+
"name": "Survey_Date",
|
| 586 |
+
"role": "feature",
|
| 587 |
+
"semantic_type": "datetime",
|
| 588 |
+
"nullable": false,
|
| 589 |
+
"missing_tokens": [],
|
| 590 |
+
"parse_format": "%Y-%m-%d",
|
| 591 |
+
"impute_strategy": "keep_raw",
|
| 592 |
+
"profile_stats": {
|
| 593 |
+
"missing_rate": 0.0,
|
| 594 |
+
"unique_count": 122,
|
| 595 |
+
"unique_ratio": 0.101667,
|
| 596 |
+
"example_values": [
|
| 597 |
+
"2024-02-04",
|
| 598 |
+
"2024-02-05",
|
| 599 |
+
"2024-05-02",
|
| 600 |
+
"2024-03-09",
|
| 601 |
+
"2024-01-28"
|
| 602 |
+
]
|
| 603 |
+
}
|
| 604 |
+
},
|
| 605 |
+
{
|
| 606 |
+
"name": "Response_Quality",
|
| 607 |
+
"role": "target",
|
| 608 |
+
"semantic_type": "categorical",
|
| 609 |
+
"nullable": false,
|
| 610 |
+
"missing_tokens": [],
|
| 611 |
+
"parse_format": null,
|
| 612 |
+
"impute_strategy": "mode",
|
| 613 |
+
"profile_stats": {
|
| 614 |
+
"missing_rate": 0.0,
|
| 615 |
+
"unique_count": 3,
|
| 616 |
+
"unique_ratio": 0.0025,
|
| 617 |
+
"example_values": [
|
| 618 |
+
"High",
|
| 619 |
+
"Medium",
|
| 620 |
+
"Low"
|
| 621 |
+
]
|
| 622 |
+
}
|
| 623 |
+
}
|
| 624 |
+
]
|
| 625 |
+
}
|
syntheticFail/m1/forestdiffusion/forest-m1-20260502_162341/public_gate/public_gate_report.json
ADDED
|
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_id": "m1",
|
| 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": "Response_Quality",
|
| 31 |
+
"task_type": "classification",
|
| 32 |
+
"input_splits": {
|
| 33 |
+
"train": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m1/m1-train.csv",
|
| 34 |
+
"val": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m1/m1-val.csv",
|
| 35 |
+
"test": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m1/m1-test.csv"
|
| 36 |
+
}
|
| 37 |
+
}
|
syntheticFail/m1/forestdiffusion/forest-m1-20260502_162341/public_gate/staged_input_manifest.json
ADDED
|
@@ -0,0 +1,630 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_id": "m1",
|
| 3 |
+
"target_column": "Response_Quality",
|
| 4 |
+
"task_type": "classification",
|
| 5 |
+
"train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m1/forestdiffusion/forest-m1-20260502_162341/staged/public/train.csv",
|
| 6 |
+
"val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m1/forestdiffusion/forest-m1-20260502_162341/staged/public/val.csv",
|
| 7 |
+
"test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m1/forestdiffusion/forest-m1-20260502_162341/staged/public/test.csv",
|
| 8 |
+
"features_json": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m1/forestdiffusion/forest-m1-20260502_162341/staged/public/staged_features.json",
|
| 9 |
+
"public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m1/forestdiffusion/forest-m1-20260502_162341/public_gate/public_gate_report.json",
|
| 10 |
+
"column_schema": [
|
| 11 |
+
{
|
| 12 |
+
"name": "Employee_ID",
|
| 13 |
+
"role": "id",
|
| 14 |
+
"semantic_type": "id",
|
| 15 |
+
"nullable": false,
|
| 16 |
+
"missing_tokens": [],
|
| 17 |
+
"parse_format": null,
|
| 18 |
+
"impute_strategy": "keep_raw",
|
| 19 |
+
"profile_stats": {
|
| 20 |
+
"missing_rate": 0.0,
|
| 21 |
+
"unique_count": 1200,
|
| 22 |
+
"unique_ratio": 1.0,
|
| 23 |
+
"example_values": [
|
| 24 |
+
"EMP1304",
|
| 25 |
+
"EMP0398",
|
| 26 |
+
"EMP0387",
|
| 27 |
+
"EMP0550",
|
| 28 |
+
"EMP0598"
|
| 29 |
+
]
|
| 30 |
+
}
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"name": "Age",
|
| 34 |
+
"role": "feature",
|
| 35 |
+
"semantic_type": "numeric",
|
| 36 |
+
"nullable": false,
|
| 37 |
+
"missing_tokens": [],
|
| 38 |
+
"parse_format": null,
|
| 39 |
+
"impute_strategy": "median",
|
| 40 |
+
"profile_stats": {
|
| 41 |
+
"missing_rate": 0.0,
|
| 42 |
+
"unique_count": 39,
|
| 43 |
+
"unique_ratio": 0.0325,
|
| 44 |
+
"example_values": [
|
| 45 |
+
"28",
|
| 46 |
+
"47",
|
| 47 |
+
"38",
|
| 48 |
+
"29",
|
| 49 |
+
"26"
|
| 50 |
+
]
|
| 51 |
+
}
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"name": "Years_Experience",
|
| 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": 29,
|
| 64 |
+
"unique_ratio": 0.024167,
|
| 65 |
+
"example_values": [
|
| 66 |
+
"3",
|
| 67 |
+
"7",
|
| 68 |
+
"11",
|
| 69 |
+
"4",
|
| 70 |
+
"2"
|
| 71 |
+
]
|
| 72 |
+
}
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"name": "WFH_Days_Per_Week",
|
| 76 |
+
"role": "feature",
|
| 77 |
+
"semantic_type": "numeric",
|
| 78 |
+
"nullable": false,
|
| 79 |
+
"missing_tokens": [],
|
| 80 |
+
"parse_format": null,
|
| 81 |
+
"impute_strategy": "median",
|
| 82 |
+
"profile_stats": {
|
| 83 |
+
"missing_rate": 0.0,
|
| 84 |
+
"unique_count": 6,
|
| 85 |
+
"unique_ratio": 0.005,
|
| 86 |
+
"example_values": [
|
| 87 |
+
"5",
|
| 88 |
+
"4",
|
| 89 |
+
"2",
|
| 90 |
+
"3",
|
| 91 |
+
"1"
|
| 92 |
+
]
|
| 93 |
+
}
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"name": "Gender",
|
| 97 |
+
"role": "feature",
|
| 98 |
+
"semantic_type": "categorical",
|
| 99 |
+
"nullable": false,
|
| 100 |
+
"missing_tokens": [],
|
| 101 |
+
"parse_format": null,
|
| 102 |
+
"impute_strategy": "mode",
|
| 103 |
+
"profile_stats": {
|
| 104 |
+
"missing_rate": 0.0,
|
| 105 |
+
"unique_count": 3,
|
| 106 |
+
"unique_ratio": 0.0025,
|
| 107 |
+
"example_values": [
|
| 108 |
+
"Female",
|
| 109 |
+
"Male",
|
| 110 |
+
"Non-binary"
|
| 111 |
+
]
|
| 112 |
+
}
|
| 113 |
+
},
|
| 114 |
+
{
|
| 115 |
+
"name": "Education_Level",
|
| 116 |
+
"role": "feature",
|
| 117 |
+
"semantic_type": "text",
|
| 118 |
+
"nullable": false,
|
| 119 |
+
"missing_tokens": [],
|
| 120 |
+
"parse_format": null,
|
| 121 |
+
"impute_strategy": "keep_raw",
|
| 122 |
+
"profile_stats": {
|
| 123 |
+
"missing_rate": 0.0,
|
| 124 |
+
"unique_count": 6,
|
| 125 |
+
"unique_ratio": 0.005,
|
| 126 |
+
"example_values": [
|
| 127 |
+
"Bachelor Degree",
|
| 128 |
+
"Master Degree",
|
| 129 |
+
"PhD",
|
| 130 |
+
"Associate Degree",
|
| 131 |
+
"Professional Degree"
|
| 132 |
+
]
|
| 133 |
+
}
|
| 134 |
+
},
|
| 135 |
+
{
|
| 136 |
+
"name": "Marital_Status",
|
| 137 |
+
"role": "feature",
|
| 138 |
+
"semantic_type": "categorical",
|
| 139 |
+
"nullable": false,
|
| 140 |
+
"missing_tokens": [],
|
| 141 |
+
"parse_format": null,
|
| 142 |
+
"impute_strategy": "mode",
|
| 143 |
+
"profile_stats": {
|
| 144 |
+
"missing_rate": 0.0,
|
| 145 |
+
"unique_count": 4,
|
| 146 |
+
"unique_ratio": 0.003333,
|
| 147 |
+
"example_values": [
|
| 148 |
+
"Married",
|
| 149 |
+
"Single",
|
| 150 |
+
"Divorced",
|
| 151 |
+
"In Relationship"
|
| 152 |
+
]
|
| 153 |
+
}
|
| 154 |
+
},
|
| 155 |
+
{
|
| 156 |
+
"name": "Has_Children",
|
| 157 |
+
"role": "feature",
|
| 158 |
+
"semantic_type": "boolean",
|
| 159 |
+
"nullable": false,
|
| 160 |
+
"missing_tokens": [],
|
| 161 |
+
"parse_format": null,
|
| 162 |
+
"impute_strategy": "mode",
|
| 163 |
+
"profile_stats": {
|
| 164 |
+
"missing_rate": 0.0,
|
| 165 |
+
"unique_count": 2,
|
| 166 |
+
"unique_ratio": 0.001667,
|
| 167 |
+
"example_values": [
|
| 168 |
+
"Yes",
|
| 169 |
+
"No"
|
| 170 |
+
]
|
| 171 |
+
}
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"name": "Location_Type",
|
| 175 |
+
"role": "feature",
|
| 176 |
+
"semantic_type": "categorical",
|
| 177 |
+
"nullable": false,
|
| 178 |
+
"missing_tokens": [],
|
| 179 |
+
"parse_format": null,
|
| 180 |
+
"impute_strategy": "mode",
|
| 181 |
+
"profile_stats": {
|
| 182 |
+
"missing_rate": 0.0,
|
| 183 |
+
"unique_count": 3,
|
| 184 |
+
"unique_ratio": 0.0025,
|
| 185 |
+
"example_values": [
|
| 186 |
+
"Urban",
|
| 187 |
+
"Suburban",
|
| 188 |
+
"Rural"
|
| 189 |
+
]
|
| 190 |
+
}
|
| 191 |
+
},
|
| 192 |
+
{
|
| 193 |
+
"name": "Department",
|
| 194 |
+
"role": "feature",
|
| 195 |
+
"semantic_type": "categorical",
|
| 196 |
+
"nullable": false,
|
| 197 |
+
"missing_tokens": [],
|
| 198 |
+
"parse_format": null,
|
| 199 |
+
"impute_strategy": "mode",
|
| 200 |
+
"profile_stats": {
|
| 201 |
+
"missing_rate": 0.0,
|
| 202 |
+
"unique_count": 10,
|
| 203 |
+
"unique_ratio": 0.008333,
|
| 204 |
+
"example_values": [
|
| 205 |
+
"Engineering",
|
| 206 |
+
"Sales",
|
| 207 |
+
"Finance",
|
| 208 |
+
"Marketing",
|
| 209 |
+
"Operations"
|
| 210 |
+
]
|
| 211 |
+
}
|
| 212 |
+
},
|
| 213 |
+
{
|
| 214 |
+
"name": "Job_Level",
|
| 215 |
+
"role": "feature",
|
| 216 |
+
"semantic_type": "categorical",
|
| 217 |
+
"nullable": false,
|
| 218 |
+
"missing_tokens": [],
|
| 219 |
+
"parse_format": null,
|
| 220 |
+
"impute_strategy": "mode",
|
| 221 |
+
"profile_stats": {
|
| 222 |
+
"missing_rate": 0.0,
|
| 223 |
+
"unique_count": 6,
|
| 224 |
+
"unique_ratio": 0.005,
|
| 225 |
+
"example_values": [
|
| 226 |
+
"Senior",
|
| 227 |
+
"Mid-Level",
|
| 228 |
+
"Lead",
|
| 229 |
+
"Junior",
|
| 230 |
+
"Manager"
|
| 231 |
+
]
|
| 232 |
+
}
|
| 233 |
+
},
|
| 234 |
+
{
|
| 235 |
+
"name": "Company_Size",
|
| 236 |
+
"role": "feature",
|
| 237 |
+
"semantic_type": "text",
|
| 238 |
+
"nullable": false,
|
| 239 |
+
"missing_tokens": [],
|
| 240 |
+
"parse_format": null,
|
| 241 |
+
"impute_strategy": "keep_raw",
|
| 242 |
+
"profile_stats": {
|
| 243 |
+
"missing_rate": 0.0,
|
| 244 |
+
"unique_count": 5,
|
| 245 |
+
"unique_ratio": 0.004167,
|
| 246 |
+
"example_values": [
|
| 247 |
+
"Large (1001-5000)",
|
| 248 |
+
"Enterprise (5000+)",
|
| 249 |
+
"Startup (1-50)",
|
| 250 |
+
"Medium (201-1000)",
|
| 251 |
+
"Small (51-200)"
|
| 252 |
+
]
|
| 253 |
+
}
|
| 254 |
+
},
|
| 255 |
+
{
|
| 256 |
+
"name": "Industry",
|
| 257 |
+
"role": "feature",
|
| 258 |
+
"semantic_type": "categorical",
|
| 259 |
+
"nullable": false,
|
| 260 |
+
"missing_tokens": [],
|
| 261 |
+
"parse_format": null,
|
| 262 |
+
"impute_strategy": "mode",
|
| 263 |
+
"profile_stats": {
|
| 264 |
+
"missing_rate": 0.0,
|
| 265 |
+
"unique_count": 10,
|
| 266 |
+
"unique_ratio": 0.008333,
|
| 267 |
+
"example_values": [
|
| 268 |
+
"Healthcare",
|
| 269 |
+
"Non-profit",
|
| 270 |
+
"Manufacturing",
|
| 271 |
+
"Technology",
|
| 272 |
+
"Consulting"
|
| 273 |
+
]
|
| 274 |
+
}
|
| 275 |
+
},
|
| 276 |
+
{
|
| 277 |
+
"name": "Home_Office_Quality",
|
| 278 |
+
"role": "feature",
|
| 279 |
+
"semantic_type": "categorical",
|
| 280 |
+
"nullable": false,
|
| 281 |
+
"missing_tokens": [],
|
| 282 |
+
"parse_format": null,
|
| 283 |
+
"impute_strategy": "mode",
|
| 284 |
+
"profile_stats": {
|
| 285 |
+
"missing_rate": 0.0,
|
| 286 |
+
"unique_count": 4,
|
| 287 |
+
"unique_ratio": 0.003333,
|
| 288 |
+
"example_values": [
|
| 289 |
+
"Average",
|
| 290 |
+
"Excellent",
|
| 291 |
+
"Good",
|
| 292 |
+
"Poor"
|
| 293 |
+
]
|
| 294 |
+
}
|
| 295 |
+
},
|
| 296 |
+
{
|
| 297 |
+
"name": "Internet_Speed_Category",
|
| 298 |
+
"role": "feature",
|
| 299 |
+
"semantic_type": "text",
|
| 300 |
+
"nullable": false,
|
| 301 |
+
"missing_tokens": [],
|
| 302 |
+
"parse_format": null,
|
| 303 |
+
"impute_strategy": "keep_raw",
|
| 304 |
+
"profile_stats": {
|
| 305 |
+
"missing_rate": 0.0,
|
| 306 |
+
"unique_count": 4,
|
| 307 |
+
"unique_ratio": 0.003333,
|
| 308 |
+
"example_values": [
|
| 309 |
+
"Very Fast (100+ Mbps)",
|
| 310 |
+
"Fast (50-100 Mbps)",
|
| 311 |
+
"Moderate (25-50 Mbps)",
|
| 312 |
+
"Slow (<25 Mbps)"
|
| 313 |
+
]
|
| 314 |
+
}
|
| 315 |
+
},
|
| 316 |
+
{
|
| 317 |
+
"name": "Work_Hours_Per_Week",
|
| 318 |
+
"role": "feature",
|
| 319 |
+
"semantic_type": "numeric",
|
| 320 |
+
"nullable": false,
|
| 321 |
+
"missing_tokens": [],
|
| 322 |
+
"parse_format": null,
|
| 323 |
+
"impute_strategy": "median",
|
| 324 |
+
"profile_stats": {
|
| 325 |
+
"missing_rate": 0.0,
|
| 326 |
+
"unique_count": 36,
|
| 327 |
+
"unique_ratio": 0.03,
|
| 328 |
+
"example_values": [
|
| 329 |
+
"51",
|
| 330 |
+
"40",
|
| 331 |
+
"39",
|
| 332 |
+
"38",
|
| 333 |
+
"49"
|
| 334 |
+
]
|
| 335 |
+
}
|
| 336 |
+
},
|
| 337 |
+
{
|
| 338 |
+
"name": "Manager_Support_Level",
|
| 339 |
+
"role": "feature",
|
| 340 |
+
"semantic_type": "categorical",
|
| 341 |
+
"nullable": false,
|
| 342 |
+
"missing_tokens": [],
|
| 343 |
+
"parse_format": null,
|
| 344 |
+
"impute_strategy": "mode",
|
| 345 |
+
"profile_stats": {
|
| 346 |
+
"missing_rate": 0.0,
|
| 347 |
+
"unique_count": 5,
|
| 348 |
+
"unique_ratio": 0.004167,
|
| 349 |
+
"example_values": [
|
| 350 |
+
"High",
|
| 351 |
+
"Moderate",
|
| 352 |
+
"Very High",
|
| 353 |
+
"Low",
|
| 354 |
+
"Very Low"
|
| 355 |
+
]
|
| 356 |
+
}
|
| 357 |
+
},
|
| 358 |
+
{
|
| 359 |
+
"name": "Team_Collaboration_Frequency",
|
| 360 |
+
"role": "feature",
|
| 361 |
+
"semantic_type": "categorical",
|
| 362 |
+
"nullable": false,
|
| 363 |
+
"missing_tokens": [],
|
| 364 |
+
"parse_format": null,
|
| 365 |
+
"impute_strategy": "mode",
|
| 366 |
+
"profile_stats": {
|
| 367 |
+
"missing_rate": 0.0,
|
| 368 |
+
"unique_count": 5,
|
| 369 |
+
"unique_ratio": 0.004167,
|
| 370 |
+
"example_values": [
|
| 371 |
+
"Few times per week",
|
| 372 |
+
"Monthly",
|
| 373 |
+
"Bi-weekly",
|
| 374 |
+
"Daily",
|
| 375 |
+
"Weekly"
|
| 376 |
+
]
|
| 377 |
+
}
|
| 378 |
+
},
|
| 379 |
+
{
|
| 380 |
+
"name": "Productivity_Score",
|
| 381 |
+
"role": "feature",
|
| 382 |
+
"semantic_type": "numeric",
|
| 383 |
+
"nullable": false,
|
| 384 |
+
"missing_tokens": [],
|
| 385 |
+
"parse_format": null,
|
| 386 |
+
"impute_strategy": "median",
|
| 387 |
+
"profile_stats": {
|
| 388 |
+
"missing_rate": 0.0,
|
| 389 |
+
"unique_count": 403,
|
| 390 |
+
"unique_ratio": 0.335833,
|
| 391 |
+
"example_values": [
|
| 392 |
+
"98.0",
|
| 393 |
+
"95.5",
|
| 394 |
+
"94.7",
|
| 395 |
+
"70.4",
|
| 396 |
+
"78.6"
|
| 397 |
+
]
|
| 398 |
+
}
|
| 399 |
+
},
|
| 400 |
+
{
|
| 401 |
+
"name": "Task_Completion_Rate",
|
| 402 |
+
"role": "feature",
|
| 403 |
+
"semantic_type": "numeric",
|
| 404 |
+
"nullable": false,
|
| 405 |
+
"missing_tokens": [],
|
| 406 |
+
"parse_format": null,
|
| 407 |
+
"impute_strategy": "median",
|
| 408 |
+
"profile_stats": {
|
| 409 |
+
"missing_rate": 0.0,
|
| 410 |
+
"unique_count": 439,
|
| 411 |
+
"unique_ratio": 0.365833,
|
| 412 |
+
"example_values": [
|
| 413 |
+
"92.7",
|
| 414 |
+
"100.0",
|
| 415 |
+
"99.4",
|
| 416 |
+
"88.3",
|
| 417 |
+
"88.4"
|
| 418 |
+
]
|
| 419 |
+
}
|
| 420 |
+
},
|
| 421 |
+
{
|
| 422 |
+
"name": "Quality_Score",
|
| 423 |
+
"role": "feature",
|
| 424 |
+
"semantic_type": "numeric",
|
| 425 |
+
"nullable": false,
|
| 426 |
+
"missing_tokens": [],
|
| 427 |
+
"parse_format": null,
|
| 428 |
+
"impute_strategy": "median",
|
| 429 |
+
"profile_stats": {
|
| 430 |
+
"missing_rate": 0.0,
|
| 431 |
+
"unique_count": 394,
|
| 432 |
+
"unique_ratio": 0.328333,
|
| 433 |
+
"example_values": [
|
| 434 |
+
"88.7",
|
| 435 |
+
"84.4",
|
| 436 |
+
"98.9",
|
| 437 |
+
"96.1",
|
| 438 |
+
"75.5"
|
| 439 |
+
]
|
| 440 |
+
}
|
| 441 |
+
},
|
| 442 |
+
{
|
| 443 |
+
"name": "Innovation_Score",
|
| 444 |
+
"role": "feature",
|
| 445 |
+
"semantic_type": "numeric",
|
| 446 |
+
"nullable": false,
|
| 447 |
+
"missing_tokens": [],
|
| 448 |
+
"parse_format": null,
|
| 449 |
+
"impute_strategy": "median",
|
| 450 |
+
"profile_stats": {
|
| 451 |
+
"missing_rate": 0.0,
|
| 452 |
+
"unique_count": 462,
|
| 453 |
+
"unique_ratio": 0.385,
|
| 454 |
+
"example_values": [
|
| 455 |
+
"87.8",
|
| 456 |
+
"83.9",
|
| 457 |
+
"80.3",
|
| 458 |
+
"93.0",
|
| 459 |
+
"62.1"
|
| 460 |
+
]
|
| 461 |
+
}
|
| 462 |
+
},
|
| 463 |
+
{
|
| 464 |
+
"name": "Efficiency_Rating",
|
| 465 |
+
"role": "feature",
|
| 466 |
+
"semantic_type": "numeric",
|
| 467 |
+
"nullable": false,
|
| 468 |
+
"missing_tokens": [],
|
| 469 |
+
"parse_format": null,
|
| 470 |
+
"impute_strategy": "median",
|
| 471 |
+
"profile_stats": {
|
| 472 |
+
"missing_rate": 0.0,
|
| 473 |
+
"unique_count": 228,
|
| 474 |
+
"unique_ratio": 0.19,
|
| 475 |
+
"example_values": [
|
| 476 |
+
"95.0",
|
| 477 |
+
"78.2",
|
| 478 |
+
"93.7",
|
| 479 |
+
"79.9",
|
| 480 |
+
"63.4"
|
| 481 |
+
]
|
| 482 |
+
}
|
| 483 |
+
},
|
| 484 |
+
{
|
| 485 |
+
"name": "Meetings_Per_Week",
|
| 486 |
+
"role": "feature",
|
| 487 |
+
"semantic_type": "numeric",
|
| 488 |
+
"nullable": false,
|
| 489 |
+
"missing_tokens": [],
|
| 490 |
+
"parse_format": null,
|
| 491 |
+
"impute_strategy": "median",
|
| 492 |
+
"profile_stats": {
|
| 493 |
+
"missing_rate": 0.0,
|
| 494 |
+
"unique_count": 19,
|
| 495 |
+
"unique_ratio": 0.015833,
|
| 496 |
+
"example_values": [
|
| 497 |
+
"11",
|
| 498 |
+
"10",
|
| 499 |
+
"7",
|
| 500 |
+
"8",
|
| 501 |
+
"6"
|
| 502 |
+
]
|
| 503 |
+
}
|
| 504 |
+
},
|
| 505 |
+
{
|
| 506 |
+
"name": "Commute_Time_Minutes",
|
| 507 |
+
"role": "feature",
|
| 508 |
+
"semantic_type": "numeric",
|
| 509 |
+
"nullable": false,
|
| 510 |
+
"missing_tokens": [],
|
| 511 |
+
"parse_format": null,
|
| 512 |
+
"impute_strategy": "median",
|
| 513 |
+
"profile_stats": {
|
| 514 |
+
"missing_rate": 0.0,
|
| 515 |
+
"unique_count": 85,
|
| 516 |
+
"unique_ratio": 0.070833,
|
| 517 |
+
"example_values": [
|
| 518 |
+
"0",
|
| 519 |
+
"18",
|
| 520 |
+
"39",
|
| 521 |
+
"25",
|
| 522 |
+
"44"
|
| 523 |
+
]
|
| 524 |
+
}
|
| 525 |
+
},
|
| 526 |
+
{
|
| 527 |
+
"name": "Job_Satisfaction",
|
| 528 |
+
"role": "feature",
|
| 529 |
+
"semantic_type": "numeric",
|
| 530 |
+
"nullable": false,
|
| 531 |
+
"missing_tokens": [],
|
| 532 |
+
"parse_format": null,
|
| 533 |
+
"impute_strategy": "median",
|
| 534 |
+
"profile_stats": {
|
| 535 |
+
"missing_rate": 0.0,
|
| 536 |
+
"unique_count": 215,
|
| 537 |
+
"unique_ratio": 0.179167,
|
| 538 |
+
"example_values": [
|
| 539 |
+
"100.0",
|
| 540 |
+
"91.1",
|
| 541 |
+
"81.4",
|
| 542 |
+
"77.0",
|
| 543 |
+
"98.6"
|
| 544 |
+
]
|
| 545 |
+
}
|
| 546 |
+
},
|
| 547 |
+
{
|
| 548 |
+
"name": "Stress_Level",
|
| 549 |
+
"role": "feature",
|
| 550 |
+
"semantic_type": "numeric",
|
| 551 |
+
"nullable": false,
|
| 552 |
+
"missing_tokens": [],
|
| 553 |
+
"parse_format": null,
|
| 554 |
+
"impute_strategy": "median",
|
| 555 |
+
"profile_stats": {
|
| 556 |
+
"missing_rate": 0.0,
|
| 557 |
+
"unique_count": 10,
|
| 558 |
+
"unique_ratio": 0.008333,
|
| 559 |
+
"example_values": [
|
| 560 |
+
"8",
|
| 561 |
+
"4",
|
| 562 |
+
"10",
|
| 563 |
+
"6",
|
| 564 |
+
"7"
|
| 565 |
+
]
|
| 566 |
+
}
|
| 567 |
+
},
|
| 568 |
+
{
|
| 569 |
+
"name": "Work_Life_Balance",
|
| 570 |
+
"role": "feature",
|
| 571 |
+
"semantic_type": "numeric",
|
| 572 |
+
"nullable": false,
|
| 573 |
+
"missing_tokens": [],
|
| 574 |
+
"parse_format": null,
|
| 575 |
+
"impute_strategy": "median",
|
| 576 |
+
"profile_stats": {
|
| 577 |
+
"missing_rate": 0.0,
|
| 578 |
+
"unique_count": 10,
|
| 579 |
+
"unique_ratio": 0.008333,
|
| 580 |
+
"example_values": [
|
| 581 |
+
"9",
|
| 582 |
+
"5",
|
| 583 |
+
"4",
|
| 584 |
+
"2",
|
| 585 |
+
"8"
|
| 586 |
+
]
|
| 587 |
+
}
|
| 588 |
+
},
|
| 589 |
+
{
|
| 590 |
+
"name": "Survey_Date",
|
| 591 |
+
"role": "feature",
|
| 592 |
+
"semantic_type": "datetime",
|
| 593 |
+
"nullable": false,
|
| 594 |
+
"missing_tokens": [],
|
| 595 |
+
"parse_format": "%Y-%m-%d",
|
| 596 |
+
"impute_strategy": "keep_raw",
|
| 597 |
+
"profile_stats": {
|
| 598 |
+
"missing_rate": 0.0,
|
| 599 |
+
"unique_count": 122,
|
| 600 |
+
"unique_ratio": 0.101667,
|
| 601 |
+
"example_values": [
|
| 602 |
+
"2024-02-04",
|
| 603 |
+
"2024-02-05",
|
| 604 |
+
"2024-05-02",
|
| 605 |
+
"2024-03-09",
|
| 606 |
+
"2024-01-28"
|
| 607 |
+
]
|
| 608 |
+
}
|
| 609 |
+
},
|
| 610 |
+
{
|
| 611 |
+
"name": "Response_Quality",
|
| 612 |
+
"role": "target",
|
| 613 |
+
"semantic_type": "categorical",
|
| 614 |
+
"nullable": false,
|
| 615 |
+
"missing_tokens": [],
|
| 616 |
+
"parse_format": null,
|
| 617 |
+
"impute_strategy": "mode",
|
| 618 |
+
"profile_stats": {
|
| 619 |
+
"missing_rate": 0.0,
|
| 620 |
+
"unique_count": 3,
|
| 621 |
+
"unique_ratio": 0.0025,
|
| 622 |
+
"example_values": [
|
| 623 |
+
"High",
|
| 624 |
+
"Medium",
|
| 625 |
+
"Low"
|
| 626 |
+
]
|
| 627 |
+
}
|
| 628 |
+
}
|
| 629 |
+
]
|
| 630 |
+
}
|
syntheticFail/m1/forestdiffusion/forest-m1-20260502_162341/runtime_result.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_id": "m1",
|
| 3 |
+
"model": "forestdiffusion",
|
| 4 |
+
"run_id": "forest-m1-20260502_162341",
|
| 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', '--cidfile', '/tmp/bench_docker_forestdiffusion_zjrlbu87/container.cid', '-e', 'PYTHONUNBUFFERED=1', '-v', '/data/jialinzhang/SynthesizePipeline-server:/work', '-w', '/work', '-v', '/data/jialinzhang/synthetic_benchmark/third_party/ForestDiffusion/Python-Package/base-ForestDiffusion:/workspace/base-ForestDiffusion', 'benchmark:forestdiffusion-zjl', 'python', '/work/output-Benchmark-trainonly-v1/m1/forestdiffusion/forest-m1-20260502_162341/_fd_train.py']' returned non-zero exit status 137.",
|
| 11 |
+
"artifacts": {},
|
| 12 |
+
"timings": {
|
| 13 |
+
"train": {
|
| 14 |
+
"started_at": "2026-05-02T16:23:41",
|
| 15 |
+
"ended_at": "2026-05-04T07:23:27",
|
| 16 |
+
"duration_sec": 140386.03
|
| 17 |
+
},
|
| 18 |
+
"generate": {
|
| 19 |
+
"started_at": null,
|
| 20 |
+
"ended_at": null,
|
| 21 |
+
"duration_sec": null
|
| 22 |
+
}
|
| 23 |
+
}
|
| 24 |
+
}
|
syntheticFail/m1/forestdiffusion/forest-m1-20260502_162341/staged/forestdiffusion/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/m1/forestdiffusion/forest-m1-20260502_162341/staged/forestdiffusion/model_input_manifest.json"
|
| 7 |
+
}
|
syntheticFail/m1/forestdiffusion/forest-m1-20260502_162341/staged/forestdiffusion/adapter_transforms_applied.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
[]
|
syntheticFail/m1/forestdiffusion/forest-m1-20260502_162341/staged/forestdiffusion/model_input_manifest.json
ADDED
|
@@ -0,0 +1,632 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_id": "m1",
|
| 3 |
+
"model": "forestdiffusion",
|
| 4 |
+
"target_column": "Response_Quality",
|
| 5 |
+
"task_type": "classification",
|
| 6 |
+
"column_schema": [
|
| 7 |
+
{
|
| 8 |
+
"name": "Employee_ID",
|
| 9 |
+
"role": "id",
|
| 10 |
+
"semantic_type": "id",
|
| 11 |
+
"nullable": false,
|
| 12 |
+
"missing_tokens": [],
|
| 13 |
+
"parse_format": null,
|
| 14 |
+
"impute_strategy": "keep_raw",
|
| 15 |
+
"profile_stats": {
|
| 16 |
+
"missing_rate": 0.0,
|
| 17 |
+
"unique_count": 1200,
|
| 18 |
+
"unique_ratio": 1.0,
|
| 19 |
+
"example_values": [
|
| 20 |
+
"EMP1304",
|
| 21 |
+
"EMP0398",
|
| 22 |
+
"EMP0387",
|
| 23 |
+
"EMP0550",
|
| 24 |
+
"EMP0598"
|
| 25 |
+
]
|
| 26 |
+
}
|
| 27 |
+
},
|
| 28 |
+
{
|
| 29 |
+
"name": "Age",
|
| 30 |
+
"role": "feature",
|
| 31 |
+
"semantic_type": "numeric",
|
| 32 |
+
"nullable": false,
|
| 33 |
+
"missing_tokens": [],
|
| 34 |
+
"parse_format": null,
|
| 35 |
+
"impute_strategy": "median",
|
| 36 |
+
"profile_stats": {
|
| 37 |
+
"missing_rate": 0.0,
|
| 38 |
+
"unique_count": 39,
|
| 39 |
+
"unique_ratio": 0.0325,
|
| 40 |
+
"example_values": [
|
| 41 |
+
"28",
|
| 42 |
+
"47",
|
| 43 |
+
"38",
|
| 44 |
+
"29",
|
| 45 |
+
"26"
|
| 46 |
+
]
|
| 47 |
+
}
|
| 48 |
+
},
|
| 49 |
+
{
|
| 50 |
+
"name": "Years_Experience",
|
| 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": 29,
|
| 60 |
+
"unique_ratio": 0.024167,
|
| 61 |
+
"example_values": [
|
| 62 |
+
"3",
|
| 63 |
+
"7",
|
| 64 |
+
"11",
|
| 65 |
+
"4",
|
| 66 |
+
"2"
|
| 67 |
+
]
|
| 68 |
+
}
|
| 69 |
+
},
|
| 70 |
+
{
|
| 71 |
+
"name": "WFH_Days_Per_Week",
|
| 72 |
+
"role": "feature",
|
| 73 |
+
"semantic_type": "numeric",
|
| 74 |
+
"nullable": false,
|
| 75 |
+
"missing_tokens": [],
|
| 76 |
+
"parse_format": null,
|
| 77 |
+
"impute_strategy": "median",
|
| 78 |
+
"profile_stats": {
|
| 79 |
+
"missing_rate": 0.0,
|
| 80 |
+
"unique_count": 6,
|
| 81 |
+
"unique_ratio": 0.005,
|
| 82 |
+
"example_values": [
|
| 83 |
+
"5",
|
| 84 |
+
"4",
|
| 85 |
+
"2",
|
| 86 |
+
"3",
|
| 87 |
+
"1"
|
| 88 |
+
]
|
| 89 |
+
}
|
| 90 |
+
},
|
| 91 |
+
{
|
| 92 |
+
"name": "Gender",
|
| 93 |
+
"role": "feature",
|
| 94 |
+
"semantic_type": "categorical",
|
| 95 |
+
"nullable": false,
|
| 96 |
+
"missing_tokens": [],
|
| 97 |
+
"parse_format": null,
|
| 98 |
+
"impute_strategy": "mode",
|
| 99 |
+
"profile_stats": {
|
| 100 |
+
"missing_rate": 0.0,
|
| 101 |
+
"unique_count": 3,
|
| 102 |
+
"unique_ratio": 0.0025,
|
| 103 |
+
"example_values": [
|
| 104 |
+
"Female",
|
| 105 |
+
"Male",
|
| 106 |
+
"Non-binary"
|
| 107 |
+
]
|
| 108 |
+
}
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"name": "Education_Level",
|
| 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": 6,
|
| 121 |
+
"unique_ratio": 0.005,
|
| 122 |
+
"example_values": [
|
| 123 |
+
"Bachelor Degree",
|
| 124 |
+
"Master Degree",
|
| 125 |
+
"PhD",
|
| 126 |
+
"Associate Degree",
|
| 127 |
+
"Professional Degree"
|
| 128 |
+
]
|
| 129 |
+
}
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"name": "Marital_Status",
|
| 133 |
+
"role": "feature",
|
| 134 |
+
"semantic_type": "categorical",
|
| 135 |
+
"nullable": false,
|
| 136 |
+
"missing_tokens": [],
|
| 137 |
+
"parse_format": null,
|
| 138 |
+
"impute_strategy": "mode",
|
| 139 |
+
"profile_stats": {
|
| 140 |
+
"missing_rate": 0.0,
|
| 141 |
+
"unique_count": 4,
|
| 142 |
+
"unique_ratio": 0.003333,
|
| 143 |
+
"example_values": [
|
| 144 |
+
"Married",
|
| 145 |
+
"Single",
|
| 146 |
+
"Divorced",
|
| 147 |
+
"In Relationship"
|
| 148 |
+
]
|
| 149 |
+
}
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"name": "Has_Children",
|
| 153 |
+
"role": "feature",
|
| 154 |
+
"semantic_type": "boolean",
|
| 155 |
+
"nullable": false,
|
| 156 |
+
"missing_tokens": [],
|
| 157 |
+
"parse_format": null,
|
| 158 |
+
"impute_strategy": "mode",
|
| 159 |
+
"profile_stats": {
|
| 160 |
+
"missing_rate": 0.0,
|
| 161 |
+
"unique_count": 2,
|
| 162 |
+
"unique_ratio": 0.001667,
|
| 163 |
+
"example_values": [
|
| 164 |
+
"Yes",
|
| 165 |
+
"No"
|
| 166 |
+
]
|
| 167 |
+
}
|
| 168 |
+
},
|
| 169 |
+
{
|
| 170 |
+
"name": "Location_Type",
|
| 171 |
+
"role": "feature",
|
| 172 |
+
"semantic_type": "categorical",
|
| 173 |
+
"nullable": false,
|
| 174 |
+
"missing_tokens": [],
|
| 175 |
+
"parse_format": null,
|
| 176 |
+
"impute_strategy": "mode",
|
| 177 |
+
"profile_stats": {
|
| 178 |
+
"missing_rate": 0.0,
|
| 179 |
+
"unique_count": 3,
|
| 180 |
+
"unique_ratio": 0.0025,
|
| 181 |
+
"example_values": [
|
| 182 |
+
"Urban",
|
| 183 |
+
"Suburban",
|
| 184 |
+
"Rural"
|
| 185 |
+
]
|
| 186 |
+
}
|
| 187 |
+
},
|
| 188 |
+
{
|
| 189 |
+
"name": "Department",
|
| 190 |
+
"role": "feature",
|
| 191 |
+
"semantic_type": "categorical",
|
| 192 |
+
"nullable": false,
|
| 193 |
+
"missing_tokens": [],
|
| 194 |
+
"parse_format": null,
|
| 195 |
+
"impute_strategy": "mode",
|
| 196 |
+
"profile_stats": {
|
| 197 |
+
"missing_rate": 0.0,
|
| 198 |
+
"unique_count": 10,
|
| 199 |
+
"unique_ratio": 0.008333,
|
| 200 |
+
"example_values": [
|
| 201 |
+
"Engineering",
|
| 202 |
+
"Sales",
|
| 203 |
+
"Finance",
|
| 204 |
+
"Marketing",
|
| 205 |
+
"Operations"
|
| 206 |
+
]
|
| 207 |
+
}
|
| 208 |
+
},
|
| 209 |
+
{
|
| 210 |
+
"name": "Job_Level",
|
| 211 |
+
"role": "feature",
|
| 212 |
+
"semantic_type": "categorical",
|
| 213 |
+
"nullable": false,
|
| 214 |
+
"missing_tokens": [],
|
| 215 |
+
"parse_format": null,
|
| 216 |
+
"impute_strategy": "mode",
|
| 217 |
+
"profile_stats": {
|
| 218 |
+
"missing_rate": 0.0,
|
| 219 |
+
"unique_count": 6,
|
| 220 |
+
"unique_ratio": 0.005,
|
| 221 |
+
"example_values": [
|
| 222 |
+
"Senior",
|
| 223 |
+
"Mid-Level",
|
| 224 |
+
"Lead",
|
| 225 |
+
"Junior",
|
| 226 |
+
"Manager"
|
| 227 |
+
]
|
| 228 |
+
}
|
| 229 |
+
},
|
| 230 |
+
{
|
| 231 |
+
"name": "Company_Size",
|
| 232 |
+
"role": "feature",
|
| 233 |
+
"semantic_type": "text",
|
| 234 |
+
"nullable": false,
|
| 235 |
+
"missing_tokens": [],
|
| 236 |
+
"parse_format": null,
|
| 237 |
+
"impute_strategy": "keep_raw",
|
| 238 |
+
"profile_stats": {
|
| 239 |
+
"missing_rate": 0.0,
|
| 240 |
+
"unique_count": 5,
|
| 241 |
+
"unique_ratio": 0.004167,
|
| 242 |
+
"example_values": [
|
| 243 |
+
"Large (1001-5000)",
|
| 244 |
+
"Enterprise (5000+)",
|
| 245 |
+
"Startup (1-50)",
|
| 246 |
+
"Medium (201-1000)",
|
| 247 |
+
"Small (51-200)"
|
| 248 |
+
]
|
| 249 |
+
}
|
| 250 |
+
},
|
| 251 |
+
{
|
| 252 |
+
"name": "Industry",
|
| 253 |
+
"role": "feature",
|
| 254 |
+
"semantic_type": "categorical",
|
| 255 |
+
"nullable": false,
|
| 256 |
+
"missing_tokens": [],
|
| 257 |
+
"parse_format": null,
|
| 258 |
+
"impute_strategy": "mode",
|
| 259 |
+
"profile_stats": {
|
| 260 |
+
"missing_rate": 0.0,
|
| 261 |
+
"unique_count": 10,
|
| 262 |
+
"unique_ratio": 0.008333,
|
| 263 |
+
"example_values": [
|
| 264 |
+
"Healthcare",
|
| 265 |
+
"Non-profit",
|
| 266 |
+
"Manufacturing",
|
| 267 |
+
"Technology",
|
| 268 |
+
"Consulting"
|
| 269 |
+
]
|
| 270 |
+
}
|
| 271 |
+
},
|
| 272 |
+
{
|
| 273 |
+
"name": "Home_Office_Quality",
|
| 274 |
+
"role": "feature",
|
| 275 |
+
"semantic_type": "categorical",
|
| 276 |
+
"nullable": false,
|
| 277 |
+
"missing_tokens": [],
|
| 278 |
+
"parse_format": null,
|
| 279 |
+
"impute_strategy": "mode",
|
| 280 |
+
"profile_stats": {
|
| 281 |
+
"missing_rate": 0.0,
|
| 282 |
+
"unique_count": 4,
|
| 283 |
+
"unique_ratio": 0.003333,
|
| 284 |
+
"example_values": [
|
| 285 |
+
"Average",
|
| 286 |
+
"Excellent",
|
| 287 |
+
"Good",
|
| 288 |
+
"Poor"
|
| 289 |
+
]
|
| 290 |
+
}
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"name": "Internet_Speed_Category",
|
| 294 |
+
"role": "feature",
|
| 295 |
+
"semantic_type": "text",
|
| 296 |
+
"nullable": false,
|
| 297 |
+
"missing_tokens": [],
|
| 298 |
+
"parse_format": null,
|
| 299 |
+
"impute_strategy": "keep_raw",
|
| 300 |
+
"profile_stats": {
|
| 301 |
+
"missing_rate": 0.0,
|
| 302 |
+
"unique_count": 4,
|
| 303 |
+
"unique_ratio": 0.003333,
|
| 304 |
+
"example_values": [
|
| 305 |
+
"Very Fast (100+ Mbps)",
|
| 306 |
+
"Fast (50-100 Mbps)",
|
| 307 |
+
"Moderate (25-50 Mbps)",
|
| 308 |
+
"Slow (<25 Mbps)"
|
| 309 |
+
]
|
| 310 |
+
}
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"name": "Work_Hours_Per_Week",
|
| 314 |
+
"role": "feature",
|
| 315 |
+
"semantic_type": "numeric",
|
| 316 |
+
"nullable": false,
|
| 317 |
+
"missing_tokens": [],
|
| 318 |
+
"parse_format": null,
|
| 319 |
+
"impute_strategy": "median",
|
| 320 |
+
"profile_stats": {
|
| 321 |
+
"missing_rate": 0.0,
|
| 322 |
+
"unique_count": 36,
|
| 323 |
+
"unique_ratio": 0.03,
|
| 324 |
+
"example_values": [
|
| 325 |
+
"51",
|
| 326 |
+
"40",
|
| 327 |
+
"39",
|
| 328 |
+
"38",
|
| 329 |
+
"49"
|
| 330 |
+
]
|
| 331 |
+
}
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"name": "Manager_Support_Level",
|
| 335 |
+
"role": "feature",
|
| 336 |
+
"semantic_type": "categorical",
|
| 337 |
+
"nullable": false,
|
| 338 |
+
"missing_tokens": [],
|
| 339 |
+
"parse_format": null,
|
| 340 |
+
"impute_strategy": "mode",
|
| 341 |
+
"profile_stats": {
|
| 342 |
+
"missing_rate": 0.0,
|
| 343 |
+
"unique_count": 5,
|
| 344 |
+
"unique_ratio": 0.004167,
|
| 345 |
+
"example_values": [
|
| 346 |
+
"High",
|
| 347 |
+
"Moderate",
|
| 348 |
+
"Very High",
|
| 349 |
+
"Low",
|
| 350 |
+
"Very Low"
|
| 351 |
+
]
|
| 352 |
+
}
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"name": "Team_Collaboration_Frequency",
|
| 356 |
+
"role": "feature",
|
| 357 |
+
"semantic_type": "categorical",
|
| 358 |
+
"nullable": false,
|
| 359 |
+
"missing_tokens": [],
|
| 360 |
+
"parse_format": null,
|
| 361 |
+
"impute_strategy": "mode",
|
| 362 |
+
"profile_stats": {
|
| 363 |
+
"missing_rate": 0.0,
|
| 364 |
+
"unique_count": 5,
|
| 365 |
+
"unique_ratio": 0.004167,
|
| 366 |
+
"example_values": [
|
| 367 |
+
"Few times per week",
|
| 368 |
+
"Monthly",
|
| 369 |
+
"Bi-weekly",
|
| 370 |
+
"Daily",
|
| 371 |
+
"Weekly"
|
| 372 |
+
]
|
| 373 |
+
}
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"name": "Productivity_Score",
|
| 377 |
+
"role": "feature",
|
| 378 |
+
"semantic_type": "numeric",
|
| 379 |
+
"nullable": false,
|
| 380 |
+
"missing_tokens": [],
|
| 381 |
+
"parse_format": null,
|
| 382 |
+
"impute_strategy": "median",
|
| 383 |
+
"profile_stats": {
|
| 384 |
+
"missing_rate": 0.0,
|
| 385 |
+
"unique_count": 403,
|
| 386 |
+
"unique_ratio": 0.335833,
|
| 387 |
+
"example_values": [
|
| 388 |
+
"98.0",
|
| 389 |
+
"95.5",
|
| 390 |
+
"94.7",
|
| 391 |
+
"70.4",
|
| 392 |
+
"78.6"
|
| 393 |
+
]
|
| 394 |
+
}
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"name": "Task_Completion_Rate",
|
| 398 |
+
"role": "feature",
|
| 399 |
+
"semantic_type": "numeric",
|
| 400 |
+
"nullable": false,
|
| 401 |
+
"missing_tokens": [],
|
| 402 |
+
"parse_format": null,
|
| 403 |
+
"impute_strategy": "median",
|
| 404 |
+
"profile_stats": {
|
| 405 |
+
"missing_rate": 0.0,
|
| 406 |
+
"unique_count": 439,
|
| 407 |
+
"unique_ratio": 0.365833,
|
| 408 |
+
"example_values": [
|
| 409 |
+
"92.7",
|
| 410 |
+
"100.0",
|
| 411 |
+
"99.4",
|
| 412 |
+
"88.3",
|
| 413 |
+
"88.4"
|
| 414 |
+
]
|
| 415 |
+
}
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"name": "Quality_Score",
|
| 419 |
+
"role": "feature",
|
| 420 |
+
"semantic_type": "numeric",
|
| 421 |
+
"nullable": false,
|
| 422 |
+
"missing_tokens": [],
|
| 423 |
+
"parse_format": null,
|
| 424 |
+
"impute_strategy": "median",
|
| 425 |
+
"profile_stats": {
|
| 426 |
+
"missing_rate": 0.0,
|
| 427 |
+
"unique_count": 394,
|
| 428 |
+
"unique_ratio": 0.328333,
|
| 429 |
+
"example_values": [
|
| 430 |
+
"88.7",
|
| 431 |
+
"84.4",
|
| 432 |
+
"98.9",
|
| 433 |
+
"96.1",
|
| 434 |
+
"75.5"
|
| 435 |
+
]
|
| 436 |
+
}
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"name": "Innovation_Score",
|
| 440 |
+
"role": "feature",
|
| 441 |
+
"semantic_type": "numeric",
|
| 442 |
+
"nullable": false,
|
| 443 |
+
"missing_tokens": [],
|
| 444 |
+
"parse_format": null,
|
| 445 |
+
"impute_strategy": "median",
|
| 446 |
+
"profile_stats": {
|
| 447 |
+
"missing_rate": 0.0,
|
| 448 |
+
"unique_count": 462,
|
| 449 |
+
"unique_ratio": 0.385,
|
| 450 |
+
"example_values": [
|
| 451 |
+
"87.8",
|
| 452 |
+
"83.9",
|
| 453 |
+
"80.3",
|
| 454 |
+
"93.0",
|
| 455 |
+
"62.1"
|
| 456 |
+
]
|
| 457 |
+
}
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"name": "Efficiency_Rating",
|
| 461 |
+
"role": "feature",
|
| 462 |
+
"semantic_type": "numeric",
|
| 463 |
+
"nullable": false,
|
| 464 |
+
"missing_tokens": [],
|
| 465 |
+
"parse_format": null,
|
| 466 |
+
"impute_strategy": "median",
|
| 467 |
+
"profile_stats": {
|
| 468 |
+
"missing_rate": 0.0,
|
| 469 |
+
"unique_count": 228,
|
| 470 |
+
"unique_ratio": 0.19,
|
| 471 |
+
"example_values": [
|
| 472 |
+
"95.0",
|
| 473 |
+
"78.2",
|
| 474 |
+
"93.7",
|
| 475 |
+
"79.9",
|
| 476 |
+
"63.4"
|
| 477 |
+
]
|
| 478 |
+
}
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"name": "Meetings_Per_Week",
|
| 482 |
+
"role": "feature",
|
| 483 |
+
"semantic_type": "numeric",
|
| 484 |
+
"nullable": false,
|
| 485 |
+
"missing_tokens": [],
|
| 486 |
+
"parse_format": null,
|
| 487 |
+
"impute_strategy": "median",
|
| 488 |
+
"profile_stats": {
|
| 489 |
+
"missing_rate": 0.0,
|
| 490 |
+
"unique_count": 19,
|
| 491 |
+
"unique_ratio": 0.015833,
|
| 492 |
+
"example_values": [
|
| 493 |
+
"11",
|
| 494 |
+
"10",
|
| 495 |
+
"7",
|
| 496 |
+
"8",
|
| 497 |
+
"6"
|
| 498 |
+
]
|
| 499 |
+
}
|
| 500 |
+
},
|
| 501 |
+
{
|
| 502 |
+
"name": "Commute_Time_Minutes",
|
| 503 |
+
"role": "feature",
|
| 504 |
+
"semantic_type": "numeric",
|
| 505 |
+
"nullable": false,
|
| 506 |
+
"missing_tokens": [],
|
| 507 |
+
"parse_format": null,
|
| 508 |
+
"impute_strategy": "median",
|
| 509 |
+
"profile_stats": {
|
| 510 |
+
"missing_rate": 0.0,
|
| 511 |
+
"unique_count": 85,
|
| 512 |
+
"unique_ratio": 0.070833,
|
| 513 |
+
"example_values": [
|
| 514 |
+
"0",
|
| 515 |
+
"18",
|
| 516 |
+
"39",
|
| 517 |
+
"25",
|
| 518 |
+
"44"
|
| 519 |
+
]
|
| 520 |
+
}
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"name": "Job_Satisfaction",
|
| 524 |
+
"role": "feature",
|
| 525 |
+
"semantic_type": "numeric",
|
| 526 |
+
"nullable": false,
|
| 527 |
+
"missing_tokens": [],
|
| 528 |
+
"parse_format": null,
|
| 529 |
+
"impute_strategy": "median",
|
| 530 |
+
"profile_stats": {
|
| 531 |
+
"missing_rate": 0.0,
|
| 532 |
+
"unique_count": 215,
|
| 533 |
+
"unique_ratio": 0.179167,
|
| 534 |
+
"example_values": [
|
| 535 |
+
"100.0",
|
| 536 |
+
"91.1",
|
| 537 |
+
"81.4",
|
| 538 |
+
"77.0",
|
| 539 |
+
"98.6"
|
| 540 |
+
]
|
| 541 |
+
}
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"name": "Stress_Level",
|
| 545 |
+
"role": "feature",
|
| 546 |
+
"semantic_type": "numeric",
|
| 547 |
+
"nullable": false,
|
| 548 |
+
"missing_tokens": [],
|
| 549 |
+
"parse_format": null,
|
| 550 |
+
"impute_strategy": "median",
|
| 551 |
+
"profile_stats": {
|
| 552 |
+
"missing_rate": 0.0,
|
| 553 |
+
"unique_count": 10,
|
| 554 |
+
"unique_ratio": 0.008333,
|
| 555 |
+
"example_values": [
|
| 556 |
+
"8",
|
| 557 |
+
"4",
|
| 558 |
+
"10",
|
| 559 |
+
"6",
|
| 560 |
+
"7"
|
| 561 |
+
]
|
| 562 |
+
}
|
| 563 |
+
},
|
| 564 |
+
{
|
| 565 |
+
"name": "Work_Life_Balance",
|
| 566 |
+
"role": "feature",
|
| 567 |
+
"semantic_type": "numeric",
|
| 568 |
+
"nullable": false,
|
| 569 |
+
"missing_tokens": [],
|
| 570 |
+
"parse_format": null,
|
| 571 |
+
"impute_strategy": "median",
|
| 572 |
+
"profile_stats": {
|
| 573 |
+
"missing_rate": 0.0,
|
| 574 |
+
"unique_count": 10,
|
| 575 |
+
"unique_ratio": 0.008333,
|
| 576 |
+
"example_values": [
|
| 577 |
+
"9",
|
| 578 |
+
"5",
|
| 579 |
+
"4",
|
| 580 |
+
"2",
|
| 581 |
+
"8"
|
| 582 |
+
]
|
| 583 |
+
}
|
| 584 |
+
},
|
| 585 |
+
{
|
| 586 |
+
"name": "Survey_Date",
|
| 587 |
+
"role": "feature",
|
| 588 |
+
"semantic_type": "datetime",
|
| 589 |
+
"nullable": false,
|
| 590 |
+
"missing_tokens": [],
|
| 591 |
+
"parse_format": "%Y-%m-%d",
|
| 592 |
+
"impute_strategy": "keep_raw",
|
| 593 |
+
"profile_stats": {
|
| 594 |
+
"missing_rate": 0.0,
|
| 595 |
+
"unique_count": 122,
|
| 596 |
+
"unique_ratio": 0.101667,
|
| 597 |
+
"example_values": [
|
| 598 |
+
"2024-02-04",
|
| 599 |
+
"2024-02-05",
|
| 600 |
+
"2024-05-02",
|
| 601 |
+
"2024-03-09",
|
| 602 |
+
"2024-01-28"
|
| 603 |
+
]
|
| 604 |
+
}
|
| 605 |
+
},
|
| 606 |
+
{
|
| 607 |
+
"name": "Response_Quality",
|
| 608 |
+
"role": "target",
|
| 609 |
+
"semantic_type": "categorical",
|
| 610 |
+
"nullable": false,
|
| 611 |
+
"missing_tokens": [],
|
| 612 |
+
"parse_format": null,
|
| 613 |
+
"impute_strategy": "mode",
|
| 614 |
+
"profile_stats": {
|
| 615 |
+
"missing_rate": 0.0,
|
| 616 |
+
"unique_count": 3,
|
| 617 |
+
"unique_ratio": 0.0025,
|
| 618 |
+
"example_values": [
|
| 619 |
+
"High",
|
| 620 |
+
"Medium",
|
| 621 |
+
"Low"
|
| 622 |
+
]
|
| 623 |
+
}
|
| 624 |
+
}
|
| 625 |
+
],
|
| 626 |
+
"public_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m1/forestdiffusion/forest-m1-20260502_162341/public_gate/staged_input_manifest.json",
|
| 627 |
+
"train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m1/forestdiffusion/forest-m1-20260502_162341/staged/public/train.csv",
|
| 628 |
+
"val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m1/forestdiffusion/forest-m1-20260502_162341/staged/public/val.csv",
|
| 629 |
+
"test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m1/forestdiffusion/forest-m1-20260502_162341/staged/public/test.csv",
|
| 630 |
+
"features_json": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m1/forestdiffusion/forest-m1-20260502_162341/staged/public/staged_features.json",
|
| 631 |
+
"public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m1/forestdiffusion/forest-m1-20260502_162341/public_gate/public_gate_report.json"
|
| 632 |
+
}
|
syntheticFail/m1/forestdiffusion/forest-m1-20260502_162341/staged/public/staged_features.json
ADDED
|
@@ -0,0 +1,152 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
[
|
| 2 |
+
{
|
| 3 |
+
"feature_name": "Employee_ID",
|
| 4 |
+
"data_type": "ID",
|
| 5 |
+
"is_target": false
|
| 6 |
+
},
|
| 7 |
+
{
|
| 8 |
+
"feature_name": "Age",
|
| 9 |
+
"data_type": "continuous",
|
| 10 |
+
"is_target": false
|
| 11 |
+
},
|
| 12 |
+
{
|
| 13 |
+
"feature_name": "Years_Experience",
|
| 14 |
+
"data_type": "continuous",
|
| 15 |
+
"is_target": false
|
| 16 |
+
},
|
| 17 |
+
{
|
| 18 |
+
"feature_name": "WFH_Days_Per_Week",
|
| 19 |
+
"data_type": "continuous",
|
| 20 |
+
"is_target": false
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"feature_name": "Gender",
|
| 24 |
+
"data_type": "categorical",
|
| 25 |
+
"is_target": false
|
| 26 |
+
},
|
| 27 |
+
{
|
| 28 |
+
"feature_name": "Education_Level",
|
| 29 |
+
"data_type": "categorical",
|
| 30 |
+
"is_target": false
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"feature_name": "Marital_Status",
|
| 34 |
+
"data_type": "categorical",
|
| 35 |
+
"is_target": false
|
| 36 |
+
},
|
| 37 |
+
{
|
| 38 |
+
"feature_name": "Has_Children",
|
| 39 |
+
"data_type": "binary",
|
| 40 |
+
"is_target": false
|
| 41 |
+
},
|
| 42 |
+
{
|
| 43 |
+
"feature_name": "Location_Type",
|
| 44 |
+
"data_type": "categorical",
|
| 45 |
+
"is_target": false
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"feature_name": "Department",
|
| 49 |
+
"data_type": "categorical",
|
| 50 |
+
"is_target": false
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"feature_name": "Job_Level",
|
| 54 |
+
"data_type": "categorical",
|
| 55 |
+
"is_target": false
|
| 56 |
+
},
|
| 57 |
+
{
|
| 58 |
+
"feature_name": "Company_Size",
|
| 59 |
+
"data_type": "categorical",
|
| 60 |
+
"is_target": false
|
| 61 |
+
},
|
| 62 |
+
{
|
| 63 |
+
"feature_name": "Industry",
|
| 64 |
+
"data_type": "categorical",
|
| 65 |
+
"is_target": false
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"feature_name": "Home_Office_Quality",
|
| 69 |
+
"data_type": "categorical",
|
| 70 |
+
"is_target": false
|
| 71 |
+
},
|
| 72 |
+
{
|
| 73 |
+
"feature_name": "Internet_Speed_Category",
|
| 74 |
+
"data_type": "categorical",
|
| 75 |
+
"is_target": false
|
| 76 |
+
},
|
| 77 |
+
{
|
| 78 |
+
"feature_name": "Work_Hours_Per_Week",
|
| 79 |
+
"data_type": "continuous",
|
| 80 |
+
"is_target": false
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"feature_name": "Manager_Support_Level",
|
| 84 |
+
"data_type": "categorical",
|
| 85 |
+
"is_target": false
|
| 86 |
+
},
|
| 87 |
+
{
|
| 88 |
+
"feature_name": "Team_Collaboration_Frequency",
|
| 89 |
+
"data_type": "categorical",
|
| 90 |
+
"is_target": false
|
| 91 |
+
},
|
| 92 |
+
{
|
| 93 |
+
"feature_name": "Productivity_Score",
|
| 94 |
+
"data_type": "continuous",
|
| 95 |
+
"is_target": false
|
| 96 |
+
},
|
| 97 |
+
{
|
| 98 |
+
"feature_name": "Task_Completion_Rate",
|
| 99 |
+
"data_type": "continuous",
|
| 100 |
+
"is_target": false
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"feature_name": "Quality_Score",
|
| 104 |
+
"data_type": "continuous",
|
| 105 |
+
"is_target": false
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"feature_name": "Innovation_Score",
|
| 109 |
+
"data_type": "continuous",
|
| 110 |
+
"is_target": false
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"feature_name": "Efficiency_Rating",
|
| 114 |
+
"data_type": "continuous",
|
| 115 |
+
"is_target": false
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"feature_name": "Meetings_Per_Week",
|
| 119 |
+
"data_type": "continuous",
|
| 120 |
+
"is_target": false
|
| 121 |
+
},
|
| 122 |
+
{
|
| 123 |
+
"feature_name": "Commute_Time_Minutes",
|
| 124 |
+
"data_type": "continuous",
|
| 125 |
+
"is_target": false
|
| 126 |
+
},
|
| 127 |
+
{
|
| 128 |
+
"feature_name": "Job_Satisfaction",
|
| 129 |
+
"data_type": "continuous",
|
| 130 |
+
"is_target": false
|
| 131 |
+
},
|
| 132 |
+
{
|
| 133 |
+
"feature_name": "Stress_Level",
|
| 134 |
+
"data_type": "continuous",
|
| 135 |
+
"is_target": false
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"feature_name": "Work_Life_Balance",
|
| 139 |
+
"data_type": "continuous",
|
| 140 |
+
"is_target": false
|
| 141 |
+
},
|
| 142 |
+
{
|
| 143 |
+
"feature_name": "Survey_Date",
|
| 144 |
+
"data_type": "timestamp",
|
| 145 |
+
"is_target": false
|
| 146 |
+
},
|
| 147 |
+
{
|
| 148 |
+
"feature_name": "Response_Quality",
|
| 149 |
+
"data_type": "categorical",
|
| 150 |
+
"is_target": true
|
| 151 |
+
}
|
| 152 |
+
]
|
syntheticFail/m1/forestdiffusion/forest-m1-20260502_162341/staged/public/test.csv
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6b10fb23dd851cc8e9512cc2f6c6cf8a7d55a9e129e0ea3fcfdf74a1d9c4ae4e
|
| 3 |
+
size 31319
|
syntheticFail/m1/forestdiffusion/forest-m1-20260502_162341/staged/public/train.csv
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1e9c852dcaca7e39ee66137ba8b9d16cff5ac3db8773ada638088281140b801f
|
| 3 |
+
size 246535
|
syntheticFail/m1/forestdiffusion/forest-m1-20260502_162341/staged/public/val.csv
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:74e1ec553c236519ce940f48b25c8f9b87aca28e5746f70de8e292fcae7b3dfb
|
| 3 |
+
size 31323
|
syntheticFail/m1/forestdiffusion/forest-m1-20260502_162341/train_20260502_162341.log
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:54fe482df0e1fade686ff7538aea3dcede9d12b1ec404a54c90179b154962fe4
|
| 3 |
+
size 402
|