---
title: TIRE
canonical_url: "https://www.modelscope.cn/datasets/ScienceOne-AI/TIRE"
md_url: "https://www.modelscope.cn/datasets/ScienceOne-AI/TIRE.md"
repository: ScienceOne-AI/TIRE
last_updated: 2026-10-21
license: cc-by-nc-4.0
storage_size: "27 MB"
downloads: 26
stars: 0
---

# TIRE

> TIRE - ScienceOne-AI 在 ModelScope 开源的数据集。Hugging Face: ScienceOne-AI/TIRE

ScienceOne-AI/TIRE 是 ModelScope 魔搭社区上的数据集，存储大小 27 MB，采用 cc-by-nc-4.0 许可。

- **Repository**: ScienceOne-AI/TIRE
- **License**: cc-by-nc-4.0
- **Storage size**: 27 MB
- **Downloads**: 26
- **Stars**: 0
- **Last updated**: 2026-10-21

Source: https://www.modelscope.cn/datasets/ScienceOne-AI/TIRE

---

# TIRE-PHYSICS-2000

**English** | [简体中文](README_zh.md)

Hugging Face: [ScienceOne-AI/TIRE](https://huggingface.co/datasets/ScienceOne-AI/TIRE)

GitHub: [ScienceOne-AI/TIRE](https://github.com/ScienceOne-AI/TIRE)

Paper: [TIRE: Top-Down Formula Instantiation with Reliable Execution for Physics Problem Synthesis](https://arxiv.org/abs/2610.25134)

## Dataset Overview

TIRE-PHYSICS-2000 is a 2,000-record English physics reasoning dataset from the
[TIRE](https://github.com/ScienceOne-AI/TIRE) project. It is a curated subset
for studying formula-guided physics problem construction and reasoning-data
quality. Each record contains one problem and its teacher response.

## Dataset Composition

| Item | Value |
| --- | --- |
| Records | 2,000 |
| Language | English |
| Source | PHYSICS |
| Selection seed | 42 |
| Source subject labels | 10 |
| Normalized subject groups | 6 |
| Distinct formula IDs | 1,953 |

The dataset covers the source subjects and formula groups available during
selection. Formula IDs and source problems are coverage proxies; they are not an
exhaustive taxonomy of physics knowledge.

## Data Fields

Each line of train.jsonl is a JSON object with exactly two string fields:

| Field | Type | Description |
| --- | --- | --- |
| question | string | English physics problem and answer-format instruction |
| answer | string | Stored teacher reasoning and final response |

The final response after </think> contains one complete boxed answer. The
reasoning block is retained as stored and may contain intermediate boxed
expressions.

Example:

~~~json
{
  "question": "A physical system ... put your final answer within \\boxed{}.",
  "answer": "<think>...reasoning...</think>\n\nTherefore, ... \\boxed{...}"
}
~~~

## Load the Dataset

From Hugging Face:

~~~python
from datasets import load_dataset

dataset = load_dataset("ScienceOne-AI/TIRE", split="train")
print(dataset)
~~~

From the local file:

~~~python
dataset = load_dataset("json", data_files="train.jsonl", split="train")
~~~

## License

The dataset is released under [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/).

The generation pipeline is available in
[ScienceOne-AI/TIRE](https://github.com/ScienceOne-AI/TIRE) under Apache-2.0.

## 📖 Citation

If you use this dataset or the generation pipeline, please cite our paper.

```bibtex
@misc{tire2026,
  title  = {TIRE: Top-Down Formula Instantiation with Reliable Execution for Physics Problem Synthesis},
  author = {Xiaoyu Wu and Zhaoxin Yu and Xinglin Xiao and Nan Xu},
  year   = {2026},
  url    = {https://arxiv.org/abs/2610.25134}
}
```