---
dataset_info:
  features:
  - name: problem_name
    dtype: string
  - name: problem
    dtype: string
  - name: solution
    dtype: string
  - name: tags
    sequence: string
  splits:
  - name: all_data
    num_bytes: 216319
    num_examples: 645
  download_size: 111883
  dataset_size: 216319
configs:
- config_name: default
  data_files:
  - split: all_data
    path: data/all_data-*
extra_gated_prompt: "By requesting access to this dataset, you agree to cite the following\
  \ work in any publications or projects that utilize this data:\n- PutnamBench dataset:\
  \ @misc{tsoukalas2024putnambenchevaluatingneuraltheoremprovers,\n  title={PutnamBench:\
  \ Evaluating Neural Theorem-Provers on the Putnam Mathematical Competition},\n \
  \ author={George Tsoukalas and Jasper Lee and John Jennings and Jimmy Xin and Michelle\
  \ Ding and Michael Jennings and Amitayush Thakur and Swarat Chaudhuri},\n  year={2024},\n\
  \  eprint={2407.11214},\n  archivePrefix={arXiv},\n  primaryClass={cs.AI},\n  url={https://arxiv.org/abs/2407.11214}"
---

Note: this is not my work, just uploading for convinience, please cite them. 

# Dataset Card for [PutnamBench](https://github.com/trishullab/PutnamBench)

## Table of Contents
- [Dataset Description](#dataset-description)
- [Supported Formal Languages](#supported-formal-languages)
- [Statistics](#statistics)
- [Categories](#categories)
- [Usage](#usage)
- [Citation](#citation)
- [Contributors](#contributors)
- [License](#license)

## Dataset Description

**PutnamBench** is a benchmark designed to evaluate theorem-proving algorithms on mathematics problems from the William Lowell Putnam Mathematical Competition (1962–2023). 
This dataset provides multilingual support for three formal languages: Lean 4, Isabelle, and Coq. 
It includes 1696 manually crafted formalizations, aggregated across all languages.
This HF card is only for the informal stuff hosted at: https://github.com/trishullab/PutnamBench/blob/main/informal/putnam.json

## Supported Formal Languages (not in this HF card)

PutnamBench includes formalizations in:
- **Lean 4**: 644 problems
- **Isabelle**: 640 problems
- **Coq**: 412 problems

## Statistics

The dataset includes:
- **Algebra**: 253 problems
- **Analysis**: 226 problems
- **Number Theory**: 108 problems
- **Geometry**: 69 problems
- **Linear Algebra**: 51 problems
- **Abstract Algebra**: 28 problems
- **Combinatorics**: 29 problems
- **Probability**: 10 problems
- **Set Theory**: 8 problems
- 
### Formal Leaderboard

They are hosting a leaderboard on [PutnamBench](https://github.com/trishullab/PutnamBench) to share evaluation results. To submit results, please include a link to a preprint or publication. For private submissions, reach out to george.tsoukalas@utexas.edu.

## Citation

If you use this dataset in your research, please cite:

```bibtex
@misc{tsoukalas2024putnambenchevaluatingneuraltheoremprovers,
      title={PutnamBench: Evaluating Neural Theorem-Provers on the Putnam Mathematical Competition}, 
      author={George Tsoukalas and Jasper Lee and John Jennings and Jimmy Xin and Michelle Ding and Michael Jennings and Amitayush Thakur and Swarat Chaudhuri},
      year={2024},
      eprint={2407.11214},
      archivePrefix={arXiv},
      primaryClass={cs.AI},
      url={https://arxiv.org/abs/2407.11214}, 
}
```
arxiv: https://arxiv.org/abs/2407.11214

## Natural Language (Informal) Putnam Benchmark

If you are interested in an natural language automatically evaluatable benchmark, see our Putnam-AXIOM data set and it's functional variations:
https://huggingface.co./datasets/Putnam-AXIOM/putnam-axiom-dataset