# Dataset Card for TMBench


## Dataset Summary

TMBench is the benchmark proposed in the paper [Computational Reasoning of Large Language Models](https://arxiv.org/pdf/2504.20771?). 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

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