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import argparse
import os
import copy
import re
import sys
import pandas as pd
from nltk.corpus import ptb
from weakly_supervised_parser.settings import (
PTB_TRAIN_GOLD_WITHOUT_PUNCTUATION_PATH,
PTB_VALID_GOLD_WITHOUT_PUNCTUATION_PATH,
PTB_TEST_GOLD_WITHOUT_PUNCTUATION_PATH,
)
from weakly_supervised_parser.settings import (
PTB_TRAIN_SENTENCES_WITH_PUNCTUATION_PATH,
PTB_VALID_SENTENCES_WITH_PUNCTUATION_PATH,
PTB_TEST_SENTENCES_WITH_PUNCTUATION_PATH,
)
from weakly_supervised_parser.settings import (
PTB_TRAIN_SENTENCES_WITHOUT_PUNCTUATION_PATH,
PTB_VALID_SENTENCES_WITHOUT_PUNCTUATION_PATH,
PTB_TEST_SENTENCES_WITHOUT_PUNCTUATION_PATH,
)
from weakly_supervised_parser.settings import (
PTB_TRAIN_GOLD_WITHOUT_PUNCTUATION_ALIGNED_PATH,
PTB_VALID_GOLD_WITHOUT_PUNCTUATION_ALIGNED_PATH,
PTB_TEST_GOLD_WITHOUT_PUNCTUATION_ALIGNED_PATH,
)
from weakly_supervised_parser.settings import (
YOON_KIM_TRAIN_GOLD_WITHOUT_PUNCTUATION_PATH,
YOON_KIM_VALID_GOLD_WITHOUT_PUNCTUATION_PATH,
YOON_KIM_TEST_GOLD_WITHOUT_PUNCTUATION_PATH,
)
from weakly_supervised_parser.tree.helpers import extract_sentence
class AlignPTBYoonKimFormat:
def __init__(self, ptb_data_path, yk_data_path):
self.ptb_data = pd.read_csv(ptb_data_path, sep="\t", header=None)
self.yk_data = pd.read_csv(yk_data_path, sep="\t", header=None)
def row_mapper(self, save_data_path):
dict_mapper = self.ptb_data.reset_index().merge(self.yk_data.reset_index(), on=[0]).set_index("index_y")["index_x"].to_dict()
self.ptb_data.loc[self.ptb_data.index.map(dict_mapper)].to_csv(save_data_path, sep="\t", index=False, header=None)
return dict_mapper
currency_tags_words = ["#", "$", "C$", "A$"]
ellipsis = ["*", "*?*", "0", "*T*", "*ICH*", "*U*", "*RNR*", "*EXP*", "*PPA*", "*NOT*"]
punctuation_tags = [".", ",", ":", "-LRB-", "-RRB-", "''", "``"]
punctuation_words = [".", ",", ":", "-LRB-", "-RRB-", "''", "``", "--", ";", "-", "?", "!", "...", "-LCB-", "-RCB-"]
def get_data_ptb(root, output):
# tag filter is from https://github.com/yikangshen/PRPN/blob/master/data_ptb.py
word_tags = [
"CC",
"CD",
"DT",
"EX",
"FW",
"IN",
"JJ",
"JJR",
"JJS",
"LS",
"MD",
"NN",
"NNS",
"NNP",
"NNPS",
"PDT",
"POS",
"PRP",
"PRP$",
"RB",
"RBR",
"RBS",
"RP",
"SYM",
"TO",
"UH",
"VB",
"VBD",
"VBG",
"VBN",
"VBP",
"VBZ",
"WDT",
"WP",
"WP$",
"WRB",
]
train_file_ids = []
val_file_ids = []
test_file_ids = []
train_section = ["02", "03", "04", "05", "06", "07", "08", "09", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21"]
val_section = ["22"]
test_section = ["23"]
for dir_name, _, file_list in os.walk(root, topdown=False):
if dir_name.split("/")[-1] in train_section:
file_ids = train_file_ids
elif dir_name.split("/")[-1] in val_section:
file_ids = val_file_ids
elif dir_name.split("/")[-1] in test_section:
file_ids = test_file_ids
else:
continue
for fname in file_list:
file_ids.append(os.path.join(dir_name, fname))
assert file_ids[-1].split(".")[-1] == "mrg"
print(len(train_file_ids), len(val_file_ids), len(test_file_ids))
def del_tags(tree, word_tags):
for sub in tree.subtrees():
for n, child in enumerate(sub):
if isinstance(child, str):
continue
if all(leaf_tag not in word_tags for leaf, leaf_tag in child.pos()):
del sub[n]
def save_file(file_ids, out_file, include_punctuation=False):
f_out = open(out_file, "w")
for f in file_ids:
sentences = ptb.parsed_sents(f)
for sen_tree in sentences:
sen_tree_copy = copy.deepcopy(sen_tree)
c = 0
while not all([tag in word_tags for _, tag in sen_tree.pos()]):
del_tags(sen_tree, word_tags)
c += 1
if c > 10:
assert False
if len(sen_tree.leaves()) < 2:
print(f"skipping {' '.join(sen_tree.leaves())} since length < 2")
continue
if include_punctuation:
keep_punctuation_tags = word_tags + punctuation_tags
out = " ".join([token for token, pos_tag in sen_tree_copy.pos() if pos_tag in keep_punctuation_tags])
else:
out = sen_tree.pformat(margin=sys.maxsize).strip()
while re.search("\(([A-Z0-9]{1,})((-|=)[A-Z0-9]*)*\s{1,}\)", out) is not None:
out = re.sub("\(([A-Z0-9]{1,})((-|=)[A-Z0-9]*)*\s{1,}\)", "", out)
out = out.replace(" )", ")")
out = re.sub("\s{2,}", " ", out)
f_out.write(out + "\n")
f_out.close()
save_file(train_file_ids, PTB_TRAIN_GOLD_WITHOUT_PUNCTUATION_PATH, include_punctuation=False)
save_file(val_file_ids, PTB_VALID_GOLD_WITHOUT_PUNCTUATION_PATH, include_punctuation=False)
save_file(test_file_ids, PTB_TEST_GOLD_WITHOUT_PUNCTUATION_PATH, include_punctuation=False)
# Align PTB with Yoon Kim's row order
ptb_train_index_mapper = AlignPTBYoonKimFormat(
ptb_data_path=PTB_TRAIN_GOLD_WITHOUT_PUNCTUATION_PATH, yk_data_path=YOON_KIM_TRAIN_GOLD_WITHOUT_PUNCTUATION_PATH
).row_mapper(save_data_path=PTB_TRAIN_GOLD_WITHOUT_PUNCTUATION_ALIGNED_PATH)
ptb_valid_index_mapper = AlignPTBYoonKimFormat(
ptb_data_path=PTB_VALID_GOLD_WITHOUT_PUNCTUATION_PATH, yk_data_path=YOON_KIM_VALID_GOLD_WITHOUT_PUNCTUATION_PATH
).row_mapper(save_data_path=PTB_VALID_GOLD_WITHOUT_PUNCTUATION_ALIGNED_PATH)
ptb_test_index_mapper = AlignPTBYoonKimFormat(
ptb_data_path=PTB_TEST_GOLD_WITHOUT_PUNCTUATION_PATH, yk_data_path=YOON_KIM_TEST_GOLD_WITHOUT_PUNCTUATION_PATH
).row_mapper(save_data_path=PTB_TEST_GOLD_WITHOUT_PUNCTUATION_ALIGNED_PATH)
# Extract sentences without punctuation
ptb_train_without_punctuation = pd.read_csv(PTB_TRAIN_GOLD_WITHOUT_PUNCTUATION_ALIGNED_PATH, sep="\t", header=None, names=["tree"])
ptb_train_without_punctuation["tree"].apply(extract_sentence).to_csv(
PTB_TRAIN_SENTENCES_WITHOUT_PUNCTUATION_PATH, index=False, sep="\t", header=None
)
ptb_valid_without_punctuation = pd.read_csv(PTB_VALID_GOLD_WITHOUT_PUNCTUATION_ALIGNED_PATH, sep="\t", header=None, names=["tree"])
ptb_valid_without_punctuation["tree"].apply(extract_sentence).to_csv(
PTB_VALID_SENTENCES_WITHOUT_PUNCTUATION_PATH, index=False, sep="\t", header=None
)
ptb_test_without_punctuation = pd.read_csv(PTB_TEST_GOLD_WITHOUT_PUNCTUATION_ALIGNED_PATH, sep="\t", header=None, names=["tree"])
ptb_test_without_punctuation["tree"].apply(extract_sentence).to_csv(
PTB_TEST_SENTENCES_WITHOUT_PUNCTUATION_PATH, index=False, sep="\t", header=None
)
save_file(train_file_ids, PTB_TRAIN_SENTENCES_WITH_PUNCTUATION_PATH, include_punctuation=True)
save_file(val_file_ids, PTB_VALID_SENTENCES_WITH_PUNCTUATION_PATH, include_punctuation=True)
save_file(test_file_ids, PTB_TEST_SENTENCES_WITH_PUNCTUATION_PATH, include_punctuation=True)
# Extract sentences with punctuation
ptb_train_with_punctuation = pd.read_csv(PTB_TRAIN_SENTENCES_WITH_PUNCTUATION_PATH, sep="\t", header=None, names=["sentence"])
ptb_train_with_punctuation = ptb_train_with_punctuation.loc[ptb_train_with_punctuation.index.map(ptb_train_index_mapper)]
ptb_train_with_punctuation.to_csv(PTB_TRAIN_SENTENCES_WITH_PUNCTUATION_PATH, index=False, sep="\t", header=None)
ptb_valid_with_punctuation = pd.read_csv(PTB_VALID_SENTENCES_WITH_PUNCTUATION_PATH, sep="\t", header=None, names=["sentence"])
ptb_valid_with_punctuation = ptb_valid_with_punctuation.loc[ptb_valid_with_punctuation.index.map(ptb_valid_index_mapper)]
ptb_valid_with_punctuation.to_csv(PTB_VALID_SENTENCES_WITH_PUNCTUATION_PATH, index=False, sep="\t", header=None)
ptb_test_with_punctuation = pd.read_csv(PTB_TEST_SENTENCES_WITH_PUNCTUATION_PATH, sep="\t", header=None, names=["sentence"])
ptb_test_with_punctuation = ptb_test_with_punctuation.loc[ptb_test_with_punctuation.index.map(ptb_test_index_mapper)]
ptb_test_with_punctuation.to_csv(PTB_TEST_SENTENCES_WITH_PUNCTUATION_PATH, index=False, sep="\t", header=None)
def main(arguments):
parser = argparse.ArgumentParser(description=__doc__, formatter_class=argparse.ArgumentDefaultsHelpFormatter)
parser.add_argument("--ptb_path", help="Path to parsed/mrg/wsj folder", type=str, default="./TEMP/corrected/parsed/mrg/wsj/")
parser.add_argument("--output_path", help="Path to save processed files", type=str, default="./data/PROCESSED/english/")
args = parser.parse_args(arguments)
get_data_ptb(args.ptb_path, args.output_path)
if __name__ == "__main__":
sys.exit(main(sys.argv[1:]))
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