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@@ -1,11 +1,9 @@
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  ---
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  dataset_info:
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  features:
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- - name: id
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- dtype: string
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- - name: original_problem
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  dtype: string
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- - name: original_solution
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  dtype: string
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  - name: problem
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  dtype: string
@@ -17,39 +15,31 @@ dataset_info:
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  dtype: string
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  - name: type
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  dtype: string
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- - name: year
 
 
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  dtype: string
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  - name: variation
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  dtype: int64
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  splits:
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  - name: full_eval
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- num_bytes: 1515506
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  num_examples: 522
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  - name: test
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- num_bytes: 1084327
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  num_examples: 372
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  - name: validation
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- num_bytes: 431179
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  num_examples: 150
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- download_size: 1661363
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- dataset_size: 3031012
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  configs:
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  - config_name: default
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- data_files:
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- - split: full_eval
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- path: data/full_eval-*
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- - split: test
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- path: data/test-*
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- - split: validation
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- path: data/validation-*
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  extra_gated_prompt: 'By requesting access to this dataset, you agree to cite the following
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  works in any publications or projects that utilize this data:
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  - Putnam-AXIOM dataset: @article{putnam_axiom2025, title={Putnam-AXIOM: A Functional
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  and Static Benchmark for Measuring Higher Level Mathematical Reasoning}, author={Aryan
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  Gulati and Brando Miranda and Eric Chen and Emily Xia and Kai Fronsdal and Bruno
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- de Moraes Dumont and Sanmi Koyejo}, journal={39th International Conference on Machine
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- Learning (ICML 2025)}, year={2025}, note={Preprint available at: https://openreview.net/pdf?id=YXnwlZe0yf}} '
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  ---
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  # Putnam AXIOM Dataset (ICML 2025 Version)
@@ -99,11 +89,11 @@ The dataset is presented in **English**.
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  ### Splits
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- | Split | Description | Number of Problems |
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- |-------------|----------------------------------------|--------------------|
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- | `full_eval` | Complete set of 522 problems | 522 |
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- | `test` | Test split | 372 |
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- | `val` | Validation/development split | 150 |
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  ## Dataset Usage
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@@ -116,7 +106,7 @@ dataset = load_dataset("Putnam-AXIOM/putnam-axiom-dataset-ICML-2025-522")
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  # Access each split
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  full_eval = dataset["full_eval"]
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  test = dataset["test"]
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- val = dataset["val"]
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  # Example usage: print the first problem from the full evaluation set
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  print(full_eval[0])
 
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  ---
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  dataset_info:
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  features:
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+ - name: year
 
 
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  dtype: string
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+ - name: id
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  dtype: string
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  - name: problem
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  dtype: string
 
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  dtype: string
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  - name: type
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  dtype: string
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+ - name: original_problem
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+ dtype: string
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+ - name: original_solution
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  dtype: string
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  - name: variation
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  dtype: int64
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  splits:
25
  - name: full_eval
 
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  num_examples: 522
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  - name: test
 
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  num_examples: 372
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  - name: validation
 
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  num_examples: 150
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+ download_size: 560892
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+ dataset_size: 1184885
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  configs:
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  - config_name: default
 
 
 
 
 
 
 
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  extra_gated_prompt: 'By requesting access to this dataset, you agree to cite the following
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  works in any publications or projects that utilize this data:
37
 
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  - Putnam-AXIOM dataset: @article{putnam_axiom2025, title={Putnam-AXIOM: A Functional
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  and Static Benchmark for Measuring Higher Level Mathematical Reasoning}, author={Aryan
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  Gulati and Brando Miranda and Eric Chen and Emily Xia and Kai Fronsdal and Bruno
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+ de Moraes Dumont and Sanmi Koyejo}, journal={39th International Conference on Machine Learning (ICML 2025)}, year={2025},
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+ note={Preprint available at: https://openreview.net/pdf?id=YXnwlZe0yf}} '
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  ---
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  # Putnam AXIOM Dataset (ICML 2025 Version)
 
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  ### Splits
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+ | Split | Description | Number of Problems |
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+ |---------------|----------------------------------------|--------------------|
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+ | `full_eval` | Complete set of 522 problems | 522 |
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+ | `test` | Test split | 372 |
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+ | `validation` | Validation/development split | 150 |
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  ## Dataset Usage
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  # Access each split
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  full_eval = dataset["full_eval"]
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  test = dataset["test"]
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+ validation = dataset["validation"]
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  # Example usage: print the first problem from the full evaluation set
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  print(full_eval[0])