metadata

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:

  - PutnamBench dataset:
  @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}

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

Dataset Card for PutnamBench

Dataset Description
Supported Formal Languages
Statistics
Categories
Usage
Citation
Contributors
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 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:

@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

Datasets:

brando
/

putnam_bench_informal