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@@ -19,7 +19,9 @@ This is a simplified version of SQuAD v1 dataset.
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  <!-- Provide a longer summary of what this dataset is. -->
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  The modifications made the original SQuAD v1 dataset:
 
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  * Preprocess the text to have only English letters and some basic punctuation marks.
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  * Punctuation marks are separated from the adjacent words (i.e: hello! -> hello !)
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  * Remove context length greater than 175 tokens (this removes around 20% of the original dataset)
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- * Remove questions and answers longer than 30 tokens (this removes around 140 examples from the original dataset)
 
 
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  <!-- Provide a longer summary of what this dataset is. -->
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  The modifications made the original SQuAD v1 dataset:
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+ * Extract only the needed columns to train a seq2seq model (context, question and answer)
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  * Preprocess the text to have only English letters and some basic punctuation marks.
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  * Punctuation marks are separated from the adjacent words (i.e: hello! -> hello !)
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  * Remove context length greater than 175 tokens (this removes around 20% of the original dataset)
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+ * Remove questions and answers longer than 30 tokens (this removes around 140 examples from the original dataset)
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+ * Add three additional columns to show the word count for each context, question and answer