From b9e19baaa06e4465a698f36a54ee43c07f908ea6 Mon Sep 17 00:00:00 2001 From: mjdenkowski Date: Sat, 20 Dec 2014 03:01:42 -0500 Subject: Generalize to sample any number of dev sets --- corpus/sample-dev-sets.py | 74 +++++++++++++++++++++++++++++++++++++++++++++++ corpus/sample-dev-test.py | 65 ----------------------------------------- 2 files changed, 74 insertions(+), 65 deletions(-) create mode 100755 corpus/sample-dev-sets.py delete mode 100755 corpus/sample-dev-test.py diff --git a/corpus/sample-dev-sets.py b/corpus/sample-dev-sets.py new file mode 100755 index 00000000..3c969bbe --- /dev/null +++ b/corpus/sample-dev-sets.py @@ -0,0 +1,74 @@ +#!/usr/bin/env python + +import gzip +import os +import sys + +HELP = '''Process an input corpus by dividing it into pseudo-documents and uniformly +sampling train and dev sets (simulate uniform sampling at the document level +when document boundaries are unknown) + +usage: {} in_file out_prefix doc_size docs_per_dev_set dev_sets [-lc] +recommended: doc_size=20, docs_per_dev_set=100, dev_sets=2 (dev and test) +''' + +def gzopen(f): + return gzip.open(f, 'rb') if f.endswith('.gz') else open(f, 'r') + +def wc(f): + return sum(1 for _ in gzopen(f)) + +def main(argv): + + if len(argv[1:]) < 5: + sys.stderr.write(HELP.format(os.path.basename(argv[0]))) + sys.exit(2) + + # Args + in_file = os.path.abspath(argv[1]) + out_prefix = os.path.abspath(argv[2]) + doc_size = int(argv[3]) + docs_per_dev_set = int(argv[4]) + dev_sets = int(argv[5]) + lc = (len(argv[1:]) == 6 and argv[6] == '-lc') + + # Compute sizes + corpus_size = wc(in_file) + total_docs = corpus_size / doc_size + leftover = corpus_size % doc_size + train_docs = total_docs - (dev_sets * docs_per_dev_set) + train_batch_size = (train_docs / docs_per_dev_set) + + # Report + sys.stderr.write('Splitting {} lines ({} documents)\n'.format(corpus_size, total_docs + (1 if leftover else 0))) + sys.stderr.write('Train: {} ({})\n'.format((train_docs * doc_size) + leftover, train_docs + (1 if leftover else 0))) + sys.stderr.write('Dev: {} x {} ({})\n'.format(dev_sets, docs_per_dev_set * doc_size, docs_per_dev_set)) + + inp = gzopen(in_file) + train_out = open('{}.train'.format(out_prefix), 'w') + dev_out = [open('{}.dev.{}'.format(out_prefix, i + 1), 'w') for i in range(dev_sets)] + i = 0 + + # For each set of documents + for _ in range(docs_per_dev_set): + # Write several documents to train + for _ in range(train_batch_size): + for _ in range(doc_size): + i += 1 + train_out.write('{} ||| {}'.format(i, inp.readline()) if lc else inp.readline()) + # Write a document to each dev + for out in dev_out: + for _ in range(doc_size): + i += 1 + out.write('{} ||| {}'.format(i, inp.readline()) if lc else inp.readline()) + # Write leftover lines to train + for line in inp: + i += 1 + train_out.write('{} ||| {}'.format(i, line) if lc else line) + + train_out.close() + for out in dev_out: + out.close() + +if __name__ == '__main__': + main(sys.argv) diff --git a/corpus/sample-dev-test.py b/corpus/sample-dev-test.py deleted file mode 100755 index 0c0514ee..00000000 --- a/corpus/sample-dev-test.py +++ /dev/null @@ -1,65 +0,0 @@ -#!/usr/bin/env python - -import gzip -import os -import sys - -HELP = '''Process an input corpus by dividing it into pseudo-documents and uniformly -sampling train, dev, and test sets (simulate uniform sampling at the document -level when document boundaries are unknown) - -usage: {} in_file out_prefix doc_size dev_test_docs [-lc] -recommended: doc_size=20, dev_test_docs=100 -''' - -def gzopen(f): - return gzip.open(f, 'rb') if f.endswith('.gz') else open(f, 'r') - -def wc(f): - return sum(1 for _ in gzopen(f)) - -def main(argv): - - if len(argv[1:]) < 4: - sys.stderr.write(HELP.format(os.path.basename(argv[0]))) - sys.exit(2) - - in_file = os.path.abspath(argv[1]) - out_prefix = os.path.abspath(argv[2]) - doc_size = int(argv[3]) - dev_test_docs = int(argv[4]) - lc = (len(argv[1:]) == 5 and argv[5] == '-lc') - - corpus_size = wc(in_file) - total_docs = corpus_size / doc_size - leftover = corpus_size % doc_size - train_docs = total_docs - (2 * dev_test_docs) - train_batch_size = (train_docs / dev_test_docs) - 2 - - sys.stderr.write('Splitting {} lines ({} documents)\n'.format(corpus_size, total_docs + (1 if leftover else 0))) - sys.stderr.write('Train: {} ({})\n'.format((train_docs * doc_size) + leftover, train_docs + (1 if leftover else 0))) - sys.stderr.write('Dev: {} ({})\n'.format(dev_test_docs * doc_size, dev_test_docs)) - sys.stderr.write('Test: {} ({})\n'.format(dev_test_docs * doc_size, dev_test_docs)) - - with gzopen(in_file) as inp, \ - open('{}.train'.format(out_prefix), 'w') as train_out, \ - open('{}.dev'.format(out_prefix), 'w') as dev_out, \ - open('{}.test'.format(out_prefix), 'w') as test_out: - i = 0 - for _ in range(dev_test_docs): - for _ in range(train_batch_size): - for _ in range(doc_size): - i += 1 - train_out.write('{} ||| {}'.format(i, inp.readline()) if lc else inp.readline()) - for _ in range(doc_size): - i += 1 - dev_out.write('{} ||| {}'.format(i, inp.readline()) if lc else inp.readline()) - for _ in range(doc_size): - i += 1 - test_out.write('{} ||| {}'.format(i, inp.readline()) if lc else inp.readline()) - for line in inp: - i += 1 - train_out.write('{} ||| {}'.format(i, line) if lc else line) - -if __name__ == '__main__': - main(sys.argv) -- cgit v1.2.3