Update README with information about variations data

README.md

@@ -1,6 +1,8 @@
 ---
 dataset_info:
   features:
+  - name: year
+    dtype: string
   - name: id
     dtype: string
   - name: problem
@@ -17,34 +19,27 @@ dataset_info:
     dtype: string
   - name: original_solution
     dtype: string
-  - name: year
-    dtype: string
   - name: variation
     dtype: int64
   splits:
+  - name: full_eval
+    num_examples: 522
   - name: originals_for_generating_vars
-    num_bytes: 134464
-    num_examples: 100
+    num_examples: 67
   - name: variations
-    num_bytes: 687636
-    num_examples: 500
-  download_size: 246620
-  dataset_size: 822100
+    num_examples: 459
+  download_size: 560892
+  dataset_size: 1184885
 configs:
 - config_name: default
-  data_files:
-  - split: originals_for_generating_vars
-    path: data/originals_for_generating_vars-*
-  - split: variations
-    path: data/variations-*
 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)
@@ -55,10 +50,10 @@ extra_gated_prompt: 'By requesting access to this dataset, you agree to cite the
 
 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.
 
-This dataset includes:
-- **Full Evaluation Set (522 problems)**: Complete set of problems
-- **Test Set (372 problems)**: Set used for testing
-- **Validation Set (150 problems)**: Set used for validation/development
+The dataset now includes:
+- **Full Evaluation Set (522 problems)**: Complete set of original problems
+- **Originals for Generating Variations (67 problems)**: A subset of problems used to create variations
+- **Variations (459 problems)**: Variations generated from the original problems
 
 Each problem includes:
 - Problem statement
@@ -67,6 +62,12 @@ Each problem includes:
 - Answer type (e.g., numerical, proof)
 - Source and type of problem (e.g., Algebra, Calculus, Geometry)
 - Year (extracted from problem ID)
+- Variation flag (0 for original problems, 1 for variations)
+
+## Note About Splits
+
+For experiments with the Putnam AXIOM dataset in different research contexts, specialized splits are available in separate repositories:
+- [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
 
 ## Supported Tasks and Leaderboards
 
@@ -90,15 +91,19 @@ The dataset is presented in **English**.
 - **type**: A description of the problem's mathematical topic (e.g., "Algebra Geometry").
 - **original_problem**: Original form of the problem, where applicable.
 - **original_solution**: Original solution to the problem, where applicable.
-- **variation**: Flag for variations (0 for all problems in this dataset as these are not variations).
+- **variation**: Flag for variations (0 for original problems, 1 for generated variations).
 
 ### Splits
 
-| Split         | Description                            | Number of Problems |
-|---------------|----------------------------------------|--------------------|
-| `full_eval`   | Complete set of 522 problems           | 522                |
-| `test`        | Test split                             | 372                |
-| `validation`  | Validation/development split           | 150                |
+| Split                        | Description                                    | Number of Problems |
+|------------------------------|------------------------------------------------|--------------------|
+| `full_eval`                  | Complete set of 522 original problems          | 522                |
+| `originals_for_generating_vars` | Original problems used to create variations  | 67                 |
+| `variations`                 | Generated variations of the original problems   | 459                |
+
+### Variations
+
+The `variations` split contains problems that were algorithmically generated as variations of problems in the `originals_for_generating_vars` split. These variations maintain the core mathematical concepts of the original problems but present them with different contexts, numbers, or phrasings. The variation field is set to 1 for these problems to distinguish them from the original problems.
 
 ## Dataset Usage
 
@@ -109,11 +114,17 @@ from datasets import load_dataset
 dataset = load_dataset("Putnam-AXIOM/putnam-axiom-dataset-ICML-2025-522")
 
 # Access each split
-full_eval = dataset["full_eval"]
-test = dataset["test"]
-validation = dataset["validation"]
+full_eval = dataset["full_eval"]  # Original problems
+originals = dataset["originals_for_generating_vars"]  # Original problems used for variations
+variations = dataset["variations"]  # Generated variations
+
+# Filter for original problems only (variation = 0)
+original_problems = [p for p in full_eval if p["variation"] == 0]
+
+# Filter for variation problems (variation = 1)
+variation_problems = [p for p in variations if p["variation"] == 1]
 
-# Example usage: print the first problem from the full evaluation set
+# Example usage: print the first original problem
 print(full_eval[0])
 ```