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# 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"]
}
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