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#!/usr/bin/env python
#-*- coding:utf-8 -*-
###############################################################
# PyNLPl - Sampler
# by Maarten van Gompel (proycon)
# http://ilk.uvt.nl/~mvgompel
# Induction for Linguistic Knowledge Research Group
# Universiteit van Tilburg
#
# Licensed under GPLv3
#
# This tool can be used to split a file (or multiple interdependent
# files, such as a parallel corpus) into a train, test and development
# set.
#
###############################################################
from __future__ import print_function
from __future__ import unicode_literals
from __future__ import division
from __future__ import absolute_import
import argparse
import sys
import random
from pynlpl.evaluation import filesampler
def main():
parser = argparse.ArgumentParser(description="Extracts random samples from datasets, supports multiple parallel datasets (such as parallel corpora), provided that corresponding data is on the same line.", formatter_class=argparse.ArgumentDefaultsHelpFormatter)
parser.add_argument('-t','--testsetsize', help="Test set size (lines)", type=float, action='store',default=0)
parser.add_argument('-d','--devsetsize', help="Development set size (lines)", type=float, action='store',default=0)
parser.add_argument('-T','--trainsetsize', help="Training set size (lines), leave unassigned (0) to automatically use all of the remaining data", type=float, action='store',default=0)
parser.add_argument('-S','--seed', help="Seed for random number generator", type=int, action='store',default=0)
parser.add_argument('files', type=str, nargs='+', help="The data sets to sample from, must be of equal size (i.e., same number of lines)")
args = parser.parse_args()
if args.seed:
random.seed(args.seed)
if args.testsetsize == 0:
print("ERROR: Specify at least a testset size!",file=sys.stderr)
sys.exit(2)
try:
if not args.files:
print("ERROR: Specify at least one file!",file=sys.stderr)
sys.exit(2)
except:
print("ERROR: Specify at least one file!",file=sys.stderr)
sys.exit(2)
filesampler(args.files, args.testsetsize, args.devsetsize, args.trainsetsize)
if __name__ == '__main__':
main()
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