"""
Classifier configuration.
"""

# Negative class label
BENIGN_CLASS = "benign"

# Fine-grained classes (used for label encoding when --binary is off)
CLASSES = [
    "climate_denial",
    "health_misinfo",
    "pseudoscience",
    "hate_extremism",
    "conspiracy_propaganda",
    BENIGN_CLASS,
]

# Binary classes
MISINFO_CLASS = "misinfo"
BINARY_CLASSES = [MISINFO_CLASS, BENIGN_CLASS]

# Train/val/test split ratios
TRAIN_RATIO = 0.80
VAL_RATIO   = 0.10
TEST_RATIO  = 0.10

# Random seed
SEED = 42