Spaces:
Sleeping
Sleeping
| import numpy as np | |
| import pandas as pd | |
| def generate_scenario() -> dict: | |
| """ | |
| Task 1 (Easy): Column rename bug. | |
| - Data: ~200 synthetic employee rows with columns: age, salary, education_level, target | |
| - Bug: Script references 'age_years' but DataFrame has 'age' -> KeyError | |
| - Deterministic via seed=42 | |
| """ | |
| rng = np.random.default_rng(42) | |
| n = 200 | |
| ages = rng.integers(18, 66, size=n) | |
| salary = np.clip(rng.normal(60000, 15000, size=n), 25000, None) | |
| education_levels = np.array(["HS", "Bachelors", "Masters", "PhD"]) | |
| education_level = rng.choice(education_levels, size=n, replace=True) | |
| # Simple synthetic target influenced by age and salary (with noise) | |
| logits = (ages - 40) * 0.05 + (salary - 60000) / 40000 + rng.normal(0, 0.5, size=n) | |
| prob = 1 / (1 + np.exp(-logits)) | |
| target = (prob > 0.5).astype(int) | |
| df = pd.DataFrame( | |
| { | |
| "age": ages, | |
| "salary": salary.astype(float), | |
| "education_level": education_level, | |
| "target": target, | |
| } | |
| ) | |
| broken_script = ( | |
| "# Broken: references 'age_years' (does not exist) instead of 'age'\n" | |
| "import pandas as pd\n" | |
| "from sklearn.model_selection import train_test_split\n" | |
| "from sklearn.preprocessing import StandardScaler\n" | |
| "from sklearn.linear_model import LogisticRegression\n" | |
| "\n" | |
| "X = df[['age_years', 'salary']].copy()\n" | |
| "y = df['target']\n" | |
| "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n" | |
| "scaler = StandardScaler()\n" | |
| "X_train = scaler.fit_transform(X_train)\n" | |
| "X_test = scaler.transform(X_test)\n" | |
| "clf = LogisticRegression(max_iter=1000, random_state=42)\n" | |
| "clf.fit(X_train, y_train)\n" | |
| "print('Accuracy:', clf.score(X_test, y_test))\n" | |
| ) | |
| initial_error_log = ( | |
| "Traceback (most recent call last):\n" | |
| " File '<script>', line 1, in <module>\n" | |
| " File '<script>', line 1, in <module>\n" | |
| " File '<script>', line 1, in <module>\n" | |
| "KeyError: 'age_years'\n" | |
| ) | |
| task_description = ( | |
| "The dataset column is named 'age' but the script tries to use 'age_years', " | |
| "causing a KeyError when selecting features." | |
| ) | |
| expected_fix_hint = ( | |
| "Update the script to use the existing 'age' column instead of 'age_years'. " | |
| "Verify schema with check_schema before selecting columns." | |
| ) | |
| return { | |
| "broken_script": broken_script, | |
| "dataframe": df, | |
| "initial_error_log": initial_error_log, | |
| "task_description": task_description, | |
| "expected_fix_hint": expected_fix_hint, | |
| } | |