How can i know the category of size of the database(small, medium, large) and diversity
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.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.My questions areWhere i can find the label of data base small, medium, large ?How can i know if the data set is diverse or not ?What is Penn Treebank, WikiText, or IMDB data bases ?Thank you very much i would very much appreciated if any one answer my question.
2025-01-08T05:48:43Z
I can understand only 1. You can try operating it by looking at theSizebar on the screen below. I don’t understand the others…huggingface.coHugging Face – The AI community building the future.We’re on a journey to advance and democratize artificial intelligence through open source and open science.
2025-01-08T06:06:21Z
Thank you for your response i appreciate you reading and responding ot meso let’s step back a little bitwhat he want me to do is the followingApplying BPE to a Real Dataset from Hugging FaceObjectiveEnhance 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.GuidelinesSelect a Suitable Dataset from Hugging Face:Guidelines:Visit theHugging Face Datasetsrepository.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.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 isno categorizegiven which the guidelines seems to suggest.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 itWhat 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