LLMs-from-scratch/ch07/02_dataset-utilities

Chapter 7: Finetuning to Follow Instructions

This folder contains utility code that can be used for preparing an instruction dataset.

Install the additional package requirements via:

pip install -r requirements-extra.txt

Finding Near Duplicates

The find-near-duplicates.py function can be used to identify duplicates and near-duplicates in an instruction dataset. For example,

python find-near-duplicates.py --json_file instruction-examples.json

scikit-learn version: 1.3.1


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Searching 'instruction' for duplicates ...
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Duplicate pair found with similarity 0.94:
1. Edit the following sentence to make it more formal.
2. Edit the sentence to make it more formal.

Duplicate pair found with similarity 1.00:
1. Name a dwarf planet in our solar system.
2. Name a dwarf planet in our solar system.

Duplicate pair found with similarity 0.91:
1. Change the sentences from active voice to passive voice.
2. Change the sentence from passive to active voice.



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Searching 'input' for duplicates ...
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No duplicates found


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Searching 'output' for duplicates ...
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Duplicate pair found with similarity 1.00:
1. One dwarf planet in our solar system is Pluto.
2. One dwarf planet in our solar system is Pluto.

  You can use the --threshold setting with a value between 0 and 1 to decrease or increase the sensitivity. The default threshold is 0.9.

  ## Creating Passive Voice Entries

• The create-passive-voice-entries.ipynb notebook uses OpenAI's GPT-4 to create "passive voice" entries for an instruction dataset, as shown in the example below

  {  
  'instruction': 'Identify the verb in the following sentence',
  'input': 'The cat sleeps on the couch.',
  'output': 'The verb in the sentence is "sleeps."',
  'output_2': 'The sentence is "sleeps."'   #  <---- Newly created entry
  }