i have these guidlines
* Select a Suitable Dataset from Hugging Face:
* Guidelines:
* Visit the Hugging Face Datasets repository.
* Choose a small to medium-sized text-based dataset suitable for BPE training, such
as Penn Treebank, WikiText, or IMDB Reviews.
My questions are
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Where i can find the label of data base small, medium, large ?
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How can i know if the data set is diverse or not ?
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What is Penn Treebank, WikiText, or IMDB data bases ?
Thank you very much i would very much appreciated if any one answer my question.
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I can understand only 1. You can try operating it by looking at the Size bar on the screen below. I don’t understand the others…
Thank you for your response i appreciate you reading and responding ot me
so let’s step back a little bit
what he want me to do is the following
Applying BPE to a Real Dataset from Hugging Face
Objective
Enhance your understanding of the Byte Pair Encoding (BPE) algorithm by applying it to a real-world dataset sourced from Hugging Face. This involves loading a dataset, preprocessing it, integrating it with the existing BPE implementation, training the model, and saving the results.
Guidelines
- Select a Suitable Dataset from Hugging Face:
- Guidelines:
- Visit the Hugging Face Datasets repository.
- Choose a small to medium-sized text-based dataset suitable for BPE training, such as Penn Treebank, WikiText, or IMDB Reviews.
- Hints:
- Look for datasets labeled as “small” to ensure manageable processing times.
- Consider the diversity of the dataset to observe how BPE handles various word structures.
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For part 1 i can see the size but the size doesn’t make sense to me is 1 million large or small data set is 1k large or small there is no categorize given which the guidelines seems to suggest.
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For part 2 and 3 So he want me to apply BPE (byte pair encoding) i think what he mean by diverse if it’s does not have repeated word all it has is unique or most of it
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What is Penn Treebank, WikiText, or IMDB data bases ? what i mean by that why these dataset works on Byte pair encoding what is special about them
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