Update README.md

README.md

@@ -33,3 +33,37 @@ configs:
   - split: train
     path: data/train-*
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+
+# NuminaMath 1.5
+
+This dataset is a curated subset of the original [AI-MO/NuminaMath-1.5](https://huggingface.co/datasets/AI-MO/NuminaMath-1.5) dataset.
+
+##  Filtering Criteria
+
+This subset was created by applying the following three conditions to the 'train' split of the original dataset:
+
+1.  The problem is valid (`problem_is_valid` == 'Yes')
+2.  The solution is valid (`solution_is_valid` == 'Yes')
+3.  The problem is not synthetic (`synthetic` == False)
+
+This process resulted in a dataset of **520k** examples, compared to the original **896k** examples.
+
+## Data Fields
+
+The data fields are inherited from the original dataset and include:
+* `problem`: The mathematical problem statement in LaTeX.
+* `solution`: A step-by-step, Chain-of-Thought style solution.
+* `answer`: The final answer to the problem.
+* `problem_type`: The mathematical domain (e.g., Algebra, Geometry).
+* `question_type`: The style of the problem (e.g., proof, math-word-problem).
+* `source`: The origin of the problem (e.g., olympiads, cn_k12).
+
+## How to Use
+
+The dataset can be loaded easily using the Hugging Face `datasets` library:
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("jimneussl/NuminaMath-Clean")
+```