Update README.md

README.md

@@ -13,13 +13,55 @@ dataset_info:
     list: string
   splits:
   - name: train
-    num_bytes: 6120153.0
+    num_bytes: 6120153
     num_examples: 7500
   download_size: 3239633
-  dataset_size: 6120153.0
+  dataset_size: 6120153
 configs:
 - config_name: default
   data_files:
   - split: train
     path: data/train-*
+language:
+- en
+tags:
+- math
+- reinforcement-learning
 ---
+
+
+# MATH with Solution Variants
+
+## Dataset Summary
+This dataset is a processed version of [EleutherAI/hendrycks_math](https://huggingface.co/datasets/EleutherAI/hendrycks_math), which is derived from the original [MATH dataset](https://github.com/hendrycks/math) by Hendrycks et al.
+
+The key addition in this version is the **`solution_variants`** column. This column contains semantically equivalent variations of the ground truth answer (e.g., "0.5" vs "1/2"), generated to serve as a robust reward signal for Reinforcement Learning (RL) training.
+
+## Dataset Structure
+
+Each example contains:
+- **`problem`**: The original mathematics problem statement.
+- **`solution`**: The original step-by-step solution.
+- **`solution_variants`** (New): A list of valid, equivalent short answers extracted and verified with math_verify.
+
+### Sample
+```json
+{
+  "problem": "What is 1/4 + 1/4?",
+  "solution": "... \\boxed{1/2}",
+  "solution_variants": ["1/2", "0.5"]
+}
+```
+
+# Citation & Attribution
+
+If you use this dataset, please cite the original MATH paper:
+
+```json
+@article{hendrycksmath2021,
+  title={Measuring Mathematical Problem Solving With the MATH Dataset},
+  author={Dan Hendrycks and Collin Burns and Saurav Kadavath and Akul Arora and Steven Basart and Eric Tang and Dawn Song and Jacob Steinhardt},
+  journal={NeurIPS},
+  year={2021}
+}
+```