Upload dataset

README.md

@@ -1,10 +1,12 @@
 ---
 dataset_info:
   features:
-  - name: year
-    dtype: string
   - name: id
     dtype: string
+  - name: original_problem
+    dtype: string
+  - name: original_solution
+    dtype: string
   - name: problem
     dtype: string
   - name: solution
@@ -15,31 +17,39 @@ dataset_info:
     dtype: string
   - name: type
     dtype: string
-  - name: original_problem
-    dtype: string
-  - name: original_solution
+  - name: year
     dtype: string
   - name: variation
     dtype: int64
   splits:
   - name: full_eval
+    num_bytes: 1515506
     num_examples: 522
   - name: test
+    num_bytes: 1084327
     num_examples: 372
-  - name: val
+  - name: validation
+    num_bytes: 431179
     num_examples: 150
-  download_size: 560892
-  dataset_size: 1184885
+  download_size: 1661363
+  dataset_size: 3031012
 configs:
 - config_name: default
+  data_files:
+  - split: full_eval
+    path: data/full_eval-*
+  - split: test
+    path: data/test-*
+  - split: validation
+    path: data/validation-*
 extra_gated_prompt: 'By requesting access to this dataset, you agree to cite the following
   works in any publications or projects that utilize this data:
 
   - Putnam-AXIOM dataset: @article{putnam_axiom2025, title={Putnam-AXIOM: A Functional
   and Static Benchmark for Measuring Higher Level Mathematical Reasoning}, author={Aryan
   Gulati and Brando Miranda and Eric Chen and Emily Xia and Kai Fronsdal and Bruno
-  de Moraes Dumont and Sanmi Koyejo}, journal={39th International Conference on Machine Learning (ICML 2025)}, year={2025}, 
-  note={Preprint available at: https://openreview.net/pdf?id=YXnwlZe0yf}} '
+  de Moraes Dumont and Sanmi Koyejo}, journal={39th International Conference on Machine
+  Learning (ICML 2025)}, year={2025}, note={Preprint available at: https://openreview.net/pdf?id=YXnwlZe0yf}} '
 ---
 
 # Putnam AXIOM Dataset (ICML 2025 Version)

data/validation-00000-of-00001.parquet

@@ -0,0 +1,3 @@
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+size 246144