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Update README to reflect current splits structure

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  1. README.md +15 -25
README.md CHANGED
@@ -1,6 +1,8 @@
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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: problem
@@ -17,39 +19,27 @@ dataset_info:
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  dtype: string
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  - name: original_solution
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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: 1464155
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  num_examples: 522
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  - name: originals_for_generating_vars
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- num_bytes: 134464
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  num_examples: 100
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  - name: variations
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- num_bytes: 687636
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  num_examples: 500
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- download_size: 1021356
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- dataset_size: 2286255
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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: originals_for_generating_vars
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- path: data/originals_for_generating_vars-*
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- - split: variations
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- path: data/variations-*
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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)
@@ -60,10 +50,10 @@ extra_gated_prompt: 'By requesting access to this dataset, you agree to cite the
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  The [**Putnam AXIOM**](https://openreview.net/pdf?id=YXnwlZe0yf) dataset is designed for evaluating large language models (LLMs) on advanced mathematical reasoning skills. It is based on challenging problems from the Putnam Mathematical Competition. This version contains 522 original problems prepared for the ICML 2025 submission.
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- The dataset now includes:
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  - **Full Evaluation Set (522 problems)**: Complete set of original problems
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- - **Originals for Generating Variations (67 problems)**: A subset of problems used to create variations
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- - **Variations (459 problems)**: Variations generated from the original problems
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  Each problem includes:
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  - Problem statement
@@ -76,7 +66,7 @@ Each problem includes:
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  ## Note About Splits
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- For experiments with the Putnam AXIOM dataset in different research contexts, specialized splits are available in separate repositories:
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  - [ZIP-FIT experiments splits](https://huggingface.co/datasets/zipfit/Putnam-AXIOM-for-zip-fit-splits) - Contains validation/test splits used for ZIP-FIT methodology research
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  ## Supported Tasks and Leaderboards
@@ -105,11 +95,11 @@ 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 original problems | 522 |
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- | `originals_for_generating_vars` | Original problems used to create variations | 67 |
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- | `variations` | Generated variations of the original problems | 459 |
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  ### Variations
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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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  - 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:
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  - name: full_eval
 
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  num_examples: 522
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  - name: originals_for_generating_vars
 
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  num_examples: 100
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  - name: variations
 
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  num_examples: 500
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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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  The [**Putnam AXIOM**](https://openreview.net/pdf?id=YXnwlZe0yf) dataset is designed for evaluating large language models (LLMs) on advanced mathematical reasoning skills. It is based on challenging problems from the Putnam Mathematical Competition. This version contains 522 original problems prepared for the ICML 2025 submission.
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+ The dataset includes:
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  - **Full Evaluation Set (522 problems)**: Complete set of original problems
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+ - **Originals for Generating Variations (100 problems)**: A subset of problems used to create variations
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+ - **Variations (500 problems)**: Variations generated from the original problems
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  Each problem includes:
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  - Problem statement
 
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  ## Note About Splits
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+ For experimental purposes, validation and test splits derived from this dataset are available in a separate repository:
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  - [ZIP-FIT experiments splits](https://huggingface.co/datasets/zipfit/Putnam-AXIOM-for-zip-fit-splits) - Contains validation/test splits used for ZIP-FIT methodology research
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  ## Supported Tasks and Leaderboards
 
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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 original problems | 522 |
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+ | `originals_for_generating_vars` | Original problems used to create variations | 100 |
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+ | `variations` | Generated variations of the original problems | 500 |
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  ### Variations
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