How would you augment a dataset to simulate one-shot scenarios while ensuring the embeddings remain consistent

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With the help of code can you tell me How would you augment a dataset to simulate one-shot scenarios while ensuring the embeddings remain consistent?
Apr 2 in Generative AI by Ashutosh
• 27,850 points
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1 answer to this question.

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To simulate one-shot scenarios while keeping embeddings consistent, augment data using semantically similar paraphrasing or contrastive pairs that preserve embedding space proximity.

Here is the code snippet you can refer to:

In the above code we are using the following key points:

  • Uses SynonymAug to retain semantic consistency.

  • Applies SentenceTransformer to check embedding similarity.

  • Maintains embedding proximity via cosine similarity check.

  • Simulates multiple views of one-shot input for robustness.

Hence, this approach enables realistic one-shot data augmentation by generating semantically close variants while ensuring the embeddings stay consistent, ideal for training with limited samples.
answered Apr 7 by Anila

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