logical_fallacy_labels_to_ids = {
    "ad populum": 0,
    "faulty generalization": 1,
    "fallacy of logic": 2,
    "false dilemma": 3,
    "appeal to emotion": 4,
    "fallacy of relevance": 5,
    "intentional": 6,
    "false causality": 7,
    "fallacy of credibility": 8,
    "ad hominem": 9,
    "circular reasoning": 10,
    "equivocation": 11,
    "fallacy of extension": 12,
}
dataset_to_max_length = {"imdb": 512, "dbpedia": 512, "ag_news": 64, "sst2": 64}

dataset_to_num_labels = {"imdb": 2, "dbpedia": 9, "ag_news": 4, "sst2": 2}


dbpedia_dataset_labels2ids = {
    "Agent": 0,
    "Work": 1,
    "Place": 2,
    "Species": 3,
    "UnitOfWork": 4,
    "Event": 5,
    "SportsSeason": 6,
    "Device": 7,
    "TopicalConcept": 8,
}
