Update README.md

README.md

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 pretty_name: ProteinFamilyClassification
 size_categories:
 - 1K<n<10K
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+---
+
+## Dataset Description
+
+This dataset contains a curated subset (14% of the original) of protein sequences from the **Astral SCOPe 2.08 genetic domain sequence subsets**.  
+It is designed for **protein family classification** tasks, where the goal is to assign each amino acid sequence to its corresponding **SCOPe family**.
+
+### Key Features
+- **Source:** Derived from the SCOPe database, which provides a hierarchical classification of protein structural domains based on experimental structural data from the Protein Data Bank (PDB).
+- **Classes:** Seven SCOPe protein classes (a–g), covering alpha proteins, beta proteins, mixed alpha/beta proteins, multi-domain proteins, membrane proteins, and small proteins.
+- **Embeddings:** Precomputed embeddings generated using the **ESM-2 transformer model** from Meta AI, allowing researchers to skip the computationally expensive embedding step.
+- **Purpose:** Ideal for training and testing classification models on protein sequence data with minimal preprocessing.
+
+### Why This Dataset?
+Generating embeddings for the full dataset takes ~3-7 hours on typical hardware. This preprocessed version provides a ready-to-use format for quick experimentation, making it accessible to teams with limited compute resources.
+
+### Potential Uses
+- Benchmarking machine learning models for protein classification.
+- Experimenting with XGBoost, MLP, CNN, or other classifiers.
+- Teaching and demonstration purposes in bioinformatics and computational biology.
+
+---