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Dataset Transformation Summary

Original Dataset: monsoon-nlp/primate-proteins
Transformed Dataset: pkanithi/primate-proteins

Changes Made

Added messages Column

  • Added a new messages column in ChatML format
  • Each example now contains a conversation structure with system, user, and assistant messages

Data Filtering

  • Filtered out proteins with no annotation (annotation != None)
  • Ensures all examples have valid ground truth annotations

Dataset Splitting

  • Split the original 'train' split into train and test sets
  • Test set: 4,000 examples
  • Train set: Remaining examples
  • Used seed=42 for reproducible splits

Chat Format Structure

Each example now has a messages array with:

  1. System message: Instructions for protein annotation assistance
  2. User message: Protein entry with name, species, and sequence
  3. Assistant message: Original annotation from the dataset

The user message format:

Here is the protein entry:
- protein_name: [protein_name]
- species: [species]  
- sequence: [sequence]

Result

The dataset is now in ChatML format suitable for supervised fine-tuning with train/test splits, while preserving all original protein annotation content.

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