Datasets:

rajpurkar

/

squad_v2

like 174

Issues:

** Let fix the issues:

1. Extra white-spcaces
   Let's consider your squad_dataset v2 is stored in a pandas dataframe named df.

def remove_whitespace(text):
    # Remove leading and trailing whitespace
    text = text.strip()
    # Replace multiple spaces with a single space
    text = ' '.join(text.split())
    return text
df['context']=df['context'].apply(remove_whitespace)
# Do the same for questions also
df['question']=df['question'].apply(remove_whitespace)

2. Counting and removing smaller question length.
   There are some questions having d,dd, what😃 these are useless questions so let's see how to remove them.

def count_text_length(text):
    return len(text)
df['context_len']=df['context'].apply(count_text_length)
df['question_len']=df['question'].apply(count_text_length)
# now find out the smaller length questions
df[df['question_len']<10]

You will see some useless questions you can see for the context also.

# for keeping the useful questions
df[df['question_len']>x] #x will be set by you means how much length you want.

After that you can drop the unnecessary columns

df.drop(columns=['question_len','context_len'],inplace=True)

Thank you🎯🧡