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license: mit
task_categories:
  - question-answering
language:
  - en
size_categories:
  - 10K<n<100K

Dataset Card for Simple SQuAD

This is a simplified version of SQuAD v1 dataset.

The modifications made the original SQuAD v1 dataset:

Extract only the needed columns to train a seq2seq model (context, question and answer)
Preprocess the text to have only English letters and some basic punctuation marks.
Punctuation marks are separated from the adjacent words (i.e: hello! -> hello !)
Remove context length greater than 175 tokens (this removes around 20% of the original dataset)
Remove questions and answers longer than 30 tokens (this removes around 140 examples from the original dataset)
Add three additional columns to show the word count for each context, question and answer