| | --- |
| | license: mit |
| | task_categories: |
| | - question-answering |
| | language: |
| | - en |
| | size_categories: |
| | - 10K<n<100K |
| | --- |
| | |
| | # Dataset Card for Simple SQuAD |
| |
|
| | <!-- Provide a quick summary of the dataset. --> |
| | This is a simplified version of SQuAD v1 dataset. |
| |
|
| | ## Dataset Details |
| |
|
| | ### Dataset Description |
| |
|
| | <!-- Provide a longer summary of what this dataset is. --> |
| | 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 |
