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FALLACIES

This is the data for A Closer Look at the Self-Verification Abilities of Large Language Models in Logical Reasoning

  • step_fallacy.test.jsonl: The FALLACIES Dataset. Each row is a sample containing
    • the reasoning step ("step"),
    • the label ("label", 0 for correct step and 1 for fallcious step),
    • the corresponding fallacy type ("fallacy"), and
    • the corresponding topic ("entity").
    {
        "step": "Since [I am wearing a necklace made of hemalyke] and [I either wear jewelry made of gold or hemalyke], therefore, [I do not wear jewelry made of gold].", 
        "entity": "hemalyke", 
        "fallacy": "Affirming a Disjunct", 
        "label": 1
    }
  • fallacies.json: The names of 232 fallacies as well as their definitions.

  • fallacy_taxonomy.json: The hierarchical taxonomy of fallacies.

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The data for NAACL 2024 "A Closer Look at the Self-Verification Abilities of Large Language Models in Logical Reasoning"

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