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---
dataset_info:
features:
- name: name
dtype: string
- name: informal_prefix
dtype: string
- name: formal_statement
dtype: string
splits:
- name: test
num_bytes: 155035
num_examples: 244
dataset_size: 155035
configs:
- config_name: default
license: apache-2.0
homepage: https://github.com/kAIto47802/Prover-Agent
repository: https://github.com/kAIto47802/Prover-Agent
arxiv: 2506.19923
---
# MiniF2F-test (Processed version used in Prover Agent)
<a href="https://github.com/kAIto47802/Prover-Agent">
<img src="https://img.shields.io/badge/-GitHub-181717.svg?logo=github&style=flat" alt="GitHub">
</a>
<a href="http://arxiv.org/abs/2506.19923">
<img src="https://img.shields.io/badge/arXiv-2506.19923-b31b1b.svg" alt="arXiv"/>
</a>
<br />
This repository provides the processed version of the test split of the [MiniF2F dataset](https://arxiv.org/abs/2109.00110), obtained from [AI-MO/minif2f_test](https://huggingface.co/datasets/AI-MO/minif2f_test) and used in [Prover Agent](https://github.com/kAIto47802/Prover-Agent).
This process includes removing the unintelligible parts of theorem names, which we found in our experiments that LLMs often struggled to reliably reproduce.
See Appendix D.1 of [our paper](https://arxiv.org/abs/2506.19923) for more details and [our GitHub repository](https://github.com/kAIto47802/Prover-Agent) for the code used in the processing.
You can load the dataset as follows:
```python
from datasets import load_dataset
dataset = load_dataset("kAIto47802/minif2f-test", split="test")
```
## License
Derived from AI-MO/minif2f_test (Apache 2.0), originally from MiniF2F (MIT).
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