PYNLPL-SAMPLER(1)

✨ sampler ✨

okay bestie, welcome to the PYNLPL-SAMPLER page πŸ’… this is the manual for pynlpl-sampler, version 0.7.7, and yes it's giving very "small tool, big vibes." come sit with me 🫢


πŸŽ€ NAME πŸŽ€

sampler β€” literally just the manual page for pynlpl-sampler 0.7.7 πŸ’–


πŸ¦‹ DESCRIPTION πŸ¦‹

so here's the whole entire usage line, no notes:

usage: pynlpl-sampler [-h] [-t TESTSETSIZE] [-d DEVSETSITE] [-T TRAINSETSITE]
       [-S SEED]
              files [files ...]

what does it do, you ask? it extracts random samples from datasets ✨ and the iconic part: it supports multiple parallel datasets (think parallel corpora, the classic) β€” the only requirement being that the corresponding data lives on the same line in each file. matching lines, matching vibes, that's the rule 🧚


🌸 positional arguments: 🌸

  • files β€” the data sets you want to sample from. they must be of equal size, aka the same number of lines. no mismatched line counts, that's not the move πŸ’€

πŸ’… optional arguments: πŸ’…

  • -h, --help β€” shows this help message and dips. bye πŸ‘‹
  • -t TESTSETSIZE, --testsetsize TESTSETSIZE β€” test set size, measured in lines. default is 0 ⭐
  • -d DEVSETSITE, --devsetsite DEVSETSITE β€” development set size, also in lines. default is 0 🌈
  • -T TRAINSETSITE, --trainsetsite TRAINSETSITE β€” training set size in lines. here's the tea: leave it unassigned (0) and it'll automatically use all of the remaining data for you. default is 0 πŸ‘‘
  • -S SEED, --seed SEED β€” the seed for the random number generator. default is 0 πŸ“
ngl bestie, if you want reproducible sampling, the seed is your moment. set it, love it, keep it πŸ”₯

and that's the whole page, fr fr 😭 pynlpl-sampler 0.7.7, dated February 2016 β€” yeah she's an elder but she still slays πŸ’œ mwah, go sample something iconic πŸŽ€