Reading a complex, large text file

I have a very large text file which I am trying to load into jupyternotebook to perform analysis and etc..

But I can't seem to find a way to separate the columns? Thus far I have only had experience in working with hdf5 and csv files which are relatively easy to get a hang of.

I will attach a link to the data below,

https://static-content.springer.com/esm/art%3A10.1038%2Fs41586-022-04496-5/MediaObjects/41586_2022_4496_MOESM3_ESM.txt

df1 = pd.read_csv('41586_2022_4496_MOESM3_ESM.txt', delimiter='\t')
print(df1.head(2))

result

       1    331.581577     -1.512106  17.774   2.143  -0.828   0.132     104.93    1092.57      45.54     7.355     1.359    -1.468     267695571003410291                   20111024-F5902-01-061    26.9  5520.3    40.0    3.951    0.116    1.581    0.430    2.296    0.188    0.339    0.041
0       2    332.300352     -1.566708   6.780   0...                                                                                                                                                                                                                                              
1       3    331.985497     -1.371940  18.426   1...                                                                                                                                                                                                                                              

Thanks in advance

There is no tab in your CSV.
Change the delimiter.

import pandas as pd

# https://stackoverflow.com/a/19633103/20307768
# '\s+': it says to expect one or more spaces. the matches will be as large as possible.
df1 = pd.read_csv('41586_2022_4496_MOESM3_ESM.txt', delimiter='\s+')
df1.head(2)