Update README.md

README.md

@@ -5,8 +5,6 @@ license: apache-2.0
 task_categories:
 - image-classification
 - image-to-text
-- computer-vision
-- table-regression
 - tabular-classification
 tags:
 - mathematics
@@ -28,18 +26,38 @@ size_categories:
 
 The BSD conjecture dataset concerns the Birch and Swinnerton-Dyer (BSD) Conjecture, a Millennium Prize problem in number 
 theory. It typically contains numerical data on elliptic curves, such as coefficients, ranks, and L-function values, relevant for 
-computational verification or machine learning applications in arithmetic geometry. The Birch and Swinnerton-Dyer (BSD) Conjecture 
-Dataset is a collection of computational data relating to elliptic curves and their associated L-functions. This dataset is designed 
+computational verification or machine learning applications in arithmetic geometry. 
+
+
+This Dataset is a collection of computational data relating to elliptic curves and their associated L-functions. The dataset is designed 
 to support machine learning research in arithmetic geometry, specifically for predicting properties like the rank of an elliptic 
-curve from its analytic invariants.Dataset SummaryThe Birch and Swinnerton-Dyer conjecture is a Millennium Prize Problem that 
-connects the algebraic rank of an elliptic curve to the behavior of its L-function at a critical point. This dataset provides the 
-necessary numerical features (coefficients, conductors, and L-values) to explore these relationships empirically.Supported TasksRank 
-Regression: Predict the algebraic rank of an elliptic curve as a continuous or integer value based on analytic data.Analytic Rank 
-Classification: Classify curves into rank categories (e.g., Rank 0 vs. Rank 1).Feature Exploration: Study the correlation between 
-coefficients \(a_{1},a_{2},\dots \) and the curve's global invariants.Dataset StructureThe data is typically provided in a tabular 
-format (CSV or Parquet). 
+curve from its analytic invariants.
+
+## Dataset Summary
+
+The Birch and Swinnerton-Dyer conjecture is a Millennium Prize Problem that connects the algebraic rank of an elliptic curve to
+the behavior of its L-function at a critical point.
+
+This dataset provides the necessary numerical features (coefficients, conductors, and L-values) to explore these relationships 
+empirically. 
+
+## Supported Tasks Rank Regression: 
+
+Predict the algebraic rank of an elliptic curve as a continuous or integer value based on analytic data.
 
-Common columns include:
+## Analytic Rank Classification: 
+
+Classify curves into rank categories (e.g., Rank 0 vs. Rank 1).
+
+## Feature Exploration: 
+
+Study the correlation between coefficients \(a_{1},a_{2},\dots \) and the curve's global invariants.
+
+## Dataset Structure
+
+The data is typically provided in a tabular format (CSV or Parquet). 
+
+## Common columns include:
 
 curve_id: 
 
@@ -55,7 +73,6 @@ The conductor \(N\) of the curve.rank:
 
 The algebraic rank (target variable).l_value: The value or derivative of the L-function at \(s=1\).
 
-
 If you use this dataset in your research, please cite the original repository:
 
 bibtex@misc{bsd_conjecture_dataset,