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.