Update README.md

README.md

@@ -88,8 +88,11 @@ The dataset is designed for training and studying natural-language mathematical
 - Sample count: approximately 4 million Q&A pairs
 - Main focus: university-level mathematics
 - Format: problem, optional choices, solution, final answer, and auxiliary annotations
+- Metadata: We provide rich metadata for each sample collected from various stages of our data generation pipeline 
+- Translation: Each sample contains a translation from the base language into English using Qwen3-32B as the translator
 
-Furthermore, each sample contains a translation from the base language into English using Qwen3-32B as the translator.
+The data itself is collected from PDF data contained in the CommonCrawl archives, which we refetch, OCR, and then pass through
+several filtering and processing stages. The full pipeline is described and visualized in our linked paper.
 
 ## Dataset Statistics
 
@@ -162,3 +165,7 @@ NuminaMath 2.0 is intended for:
 
 In our paper, we provide several ablation experiments for different use cases using NuminaMath 2.0,
 showing significant gains on CPT for various pre-trained models, such as Qwen3-1.7B, LLama-3.2-1B and 7B etc.
+
+## Acknowledgements
+We would like to thanks the HuggingFace data team and Project Numina for providing the resources (both compute and time)
+that enabled us to create this dataset.