Update README.md

README.md

@@ -14,18 +14,28 @@ pretty_name: Curated Chemical Structures & Properties
 size_categories:
 - 1K<n<10K
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-### 🧪 Dataset Summary
-The **Curated Chemical Structures & Properties** dataset is a foundational resource for cheminformatics and AI-driven drug discovery. It provides highly standardized molecular representations (Canonical and Isometric SMILES, InChI, InChIKey) alongside computed physicochemical properties and ClassyFire taxonomic classifications.
 
-This dataset is ideal for training molecular generative models, predicting ADMET properties, or building structure-activity relationship (SAR) models.
+🧪 Dataset Summary
 
-### 🚀 Key Features
-- **Standardized Representations**: Includes `canonical_smiles`, `isometric_smiles`, and `inchi_key` for robust molecular matching.
-- **Rich Physicochemical Features**: Pre-computed properties including Molecular Weight (`mwt`), LogP (`xlogp3`), Hydrogen Bond Donors (`hbd`), and Acceptors (`hba`).
-- **Deep Taxonomic Classification**: Features hierarchical ClassyFire annotations (Kingdom, Superclass, Class, Direct Parent) for chemical space analysis.
+The Curated Chemical Structures & Properties dataset is a 5,000-compound resource for cheminformatics and AI-driven drug discovery. It provides standardized molecular representations (Canonical SMILES, Isometric SMILES, InChI, InChIKey) alongside computed physicochemical properties and hierarchical ClassyFire taxonomic classifications.
+
+Ideal for training molecular generative models, predicting ADMET properties, or building structure-activity relationship (SAR) models.
+
+🚀 Key Features
+
+•
+Standardized Representations: Includes canonical_smiles, isometric_smiles, and inchi_key for robust molecular matching.
+
+•
+Rich Physicochemical Features: Pre-computed properties including Molecular Weight (mwt), LogP (xlogp3), Hydrogen Bond Donors (hbd), and Acceptors (hba).
+
+•
+Deep Taxonomic Classification: Hierarchical ClassyFire annotations (Kingdom, Superclass, Class, Direct Parent) for chemical space analysis.
+
+💻 Quick Start & MCP Integration
+
+Integrate chemical structure search into your LLM workflows using our Chemical Structure MCP Tool on GitHub.
 
-### 💻 Quick Start & MCP Integration
-Integrate chemical structure search into your LLM workflows using our **Chemical Structure MCP Tool** on GitHub.
 
 ```python
 from datasets import load_dataset