如何将文本文件转换为数据框（首先是字典）？

Question

I know this may not possible but I still want to ask this questions:

My text file looks like below: four questions with answers.

Is there any change transferring the text file to a dataframe? (questions as columns and answers for rows) This is the expected output

txtfile=StringIO("""1. How do you like this product?
I really don't like this product. It broke after 3-month use
2. Rate your purchasing experience from one to ten?  Will you refer the 
product to your friend?
from 1 to 10, I gave 2
3. What part do you like the most for this product?
The outlook of the product was good but the quality was low
4. Do you have any recommendations that can help us improve?
I don’t think so""")

Above are the text

Answer 1

Something like this?

from io import StringIO
txtfile=StringIO("""1. How do you like this product?
Answer1
2. Rate your purchasing experience from one to ten?  Will you refer the product to your friend?
Answer2
3. What part do you like the most for this product?
Answer3
4. Do you have any recommendations that can help us improve?
Answer4""")

df = pd.read_csv(txtfile,header=None)

df['Answers'] = df[0].str.extract('Answer(\d)')

df = df.bfill()
df = df[~df[0].str.startswith('Answer')]
df.set_index(0).T

Update:

from io import StringIO
txtfile=StringIO("""1. How do you like this product?
Answer1
2. Rate your purchasing experience from one to ten?  Will you refer the product to your friend?
Answer2
3. What part do you like the most for this product?
Answer3
4. Do you have any recommendations that can help us improve?
Answer4""")

df = pd.read_csv(txtfile,header=None)

ans_dict={'Answer1':"I don't like this product", 'Answer2':'from 1 to 10, I gave 2', 'Answer3':'The outlook of the product was good but quality was low', 'Answer4':"I don't think so Hope it helps"}


df['Answers'] = df[df[0].str.startswith('Answer')]

df['Answers'] = df['Answers'].map(ans_dict)

df = df.bfill()
df = df[~df[0].str.startswith('Answer')]
df.set_index(0).T