README.md

Dataset Card for TMBench

Dataset Summary

TMBench is the benchmark proposed in the paper Computational Reasoning of Large Language Models. It is designed to access the ability of Computational Reasoning of LLMs. The benchmark includes four variants:

• TMBench (Latin): uses standard Latin alphabet symbols
• TMBenchGreek: includes Greek symbols
• TMBenchNumber: includes numerical digits
• TMBenchSpecial: includes special characters

Each sample contains:

• An initial string
• Number of deleted characters per step
• A set of production rules (symbol → string)
• Step-wise results

Dataset Structure

Data Fields

Each example contains the following fields:

• id (string): Unique ID of the sample
• init_str (string): The initial string before rewriting
• rule (dict): Rewriting rules (symbol → replacement string)
• delete_count (int): Number of characters deleted at each step
• step_results (list[string]): The string after each rewriting step

Example

{
  "id": "001",
  "init_str": "abba",
  "rule": {
    "a": "ab",
    "b": "ba"
  },
  "delete_count": 2,
  "step_results": ["abba", "baab", "abba"]
}