Reading text file that is "next line delimited"

Question

I'm not sure how to phrase this question correctly, so I'll give an example.
Let say I have a .txt file where the first row is a DATE and the second is a TEXT. Then the pattern repeats, 3rd rows is DATE, 4th is TEXT. How would I read this into R and convert it into two column dataframe.
Essentially I see it as being "next line delimited", not sure if this is a correct way to describe it.

Here is a sample data that would be saved in a .txt file:

.LOG
3:42 PM 12/04/2019
Task 1
3:45 PM 12/04/2019
Task 2
3:55 PM 13/04/2019
Task 3
3:47 PM 15/04/2019

I want it to look like:

DATE                TEXT
3:42 PM 12/04/2019  Task 1
3:45 PM 12/04/2019  Task 2
3:55 PM 13/04/2019  Task 3

Answer 1

Read the file using read.table with sep = "\n" so you'll have single column dataframe

df <- read.table(text = "3:42 PM 12/04/2019
                 Task 1
                 3:45 PM 12/04/2019
                 Task 2
                 3:55 PM 13/04/2019
                 Task 3", sep = "\n")

For reading it from a file do

df <- read.table("path_of_the_file.txt", sep = "\n")

Now split it into two columns by selecting alternate rows

data.frame(Date = df[c(TRUE, FALSE), ], Text = df[c(FALSE, TRUE), ])

#               Date    Text
#1 3:42 PM 12/04/2019 Task 1
#2 3:45 PM 12/04/2019 Task 2
#3 3:55 PM 13/04/2019 Task 3