Datasets:
Delete prepare_corpus.py
Browse files- prepare_corpus.py +0 -124
prepare_corpus.py
DELETED
@@ -1,124 +0,0 @@
|
|
1 |
-
import argparse
|
2 |
-
import os
|
3 |
-
import xmltodict
|
4 |
-
import glob
|
5 |
-
|
6 |
-
|
7 |
-
def extract_train(train_inp, train_out, docids_out=None):
|
8 |
-
with open(train_inp, "r", encoding="utf-8") as f:
|
9 |
-
all_docs = f.read()
|
10 |
-
docs_xml = [f"{d}</doc>" for d in all_docs.split("</doc>")[:-1]]
|
11 |
-
docs = [xmltodict.parse(doc) for doc in docs_xml]
|
12 |
-
|
13 |
-
train_out_f = open(train_out, "w", encoding="utf-8")
|
14 |
-
if docids_out is not None:
|
15 |
-
docids_out_f = open(docids_out, "w", encoding="utf-8")
|
16 |
-
|
17 |
-
for doc in docs:
|
18 |
-
if "#text" not in doc["doc"]:
|
19 |
-
continue
|
20 |
-
doc_id = doc["doc"]["@docid"]
|
21 |
-
for line in doc["doc"]["#text"].split("\n"):
|
22 |
-
print(line.strip(), file=train_out_f)
|
23 |
-
if docids_out is not None:
|
24 |
-
print(doc_id, file=docids_out_f)
|
25 |
-
|
26 |
-
|
27 |
-
def extract_eval(eval_inp, eval_out, docids_out=None):
|
28 |
-
with open(eval_inp, "r", encoding="utf-8") as f:
|
29 |
-
all_docs = f.read()
|
30 |
-
docs_xml = xmltodict.parse(all_docs)
|
31 |
-
docs = (
|
32 |
-
docs_xml["mteval"]["srcset"]["doc"]
|
33 |
-
if "srcset" in docs_xml["mteval"]
|
34 |
-
else docs_xml["mteval"]["refset"]["doc"]
|
35 |
-
)
|
36 |
-
|
37 |
-
eval_out_f = open(eval_out, "a")
|
38 |
-
if docids_out is not None:
|
39 |
-
docids_out_f = open(docids_out, "a")
|
40 |
-
|
41 |
-
for doc in docs:
|
42 |
-
doc_id = doc["@docid"]
|
43 |
-
if not doc["seg"]:
|
44 |
-
continue
|
45 |
-
for seg in doc["seg"]:
|
46 |
-
line = seg["#text"]
|
47 |
-
print(line.strip(), file=eval_out_f)
|
48 |
-
if docids_out is not None:
|
49 |
-
print(doc_id, file=docids_out_f)
|
50 |
-
|
51 |
-
|
52 |
-
if __name__ == "__main__":
|
53 |
-
parser = argparse.ArgumentParser("parser for iwslt2017 data")
|
54 |
-
|
55 |
-
parser.add_argument("raw_data")
|
56 |
-
parser.add_argument("out_data")
|
57 |
-
parser.add_argument("-s", "--source-lang", required=True, type=str)
|
58 |
-
parser.add_argument("-t", "--target-lang", required=True, type=str)
|
59 |
-
parser.add_argument(
|
60 |
-
"--devsets", nargs="*", default=["tst2011", "tst2012", "tst2013", "tst2014"]
|
61 |
-
)
|
62 |
-
parser.add_argument("--testsets", nargs="*", default=["tst2015"])
|
63 |
-
args = parser.parse_args()
|
64 |
-
|
65 |
-
first_l = (
|
66 |
-
args.source_lang
|
67 |
-
if glob.glob(f"{args.raw_data}/*.{args.source_lang}-{args.target_lang}.*")
|
68 |
-
else args.target_lang
|
69 |
-
)
|
70 |
-
second_l = (
|
71 |
-
args.target_lang
|
72 |
-
if glob.glob(f"{args.raw_data}/*.{args.source_lang}-{args.target_lang}.*")
|
73 |
-
else args.source_lang
|
74 |
-
)
|
75 |
-
|
76 |
-
train_inp_prefix = os.path.join(args.raw_data, f"train.tags.{first_l}-{second_l}")
|
77 |
-
train_out_prefix = os.path.join(
|
78 |
-
args.out_data, f"train.{args.source_lang}-{args.target_lang}"
|
79 |
-
)
|
80 |
-
extract_train(
|
81 |
-
f"{train_inp_prefix}.{args.source_lang}",
|
82 |
-
f"{train_out_prefix}.{args.source_lang}",
|
83 |
-
docids_out=f"{train_out_prefix}.docids",
|
84 |
-
)
|
85 |
-
extract_train(
|
86 |
-
f"{train_inp_prefix}.{args.target_lang}",
|
87 |
-
f"{train_out_prefix}.{args.target_lang}",
|
88 |
-
)
|
89 |
-
|
90 |
-
# generate valid set based on devsets paseed
|
91 |
-
valid_out_prefix = os.path.join(
|
92 |
-
args.out_data, f"valid.{args.source_lang}-{args.target_lang}"
|
93 |
-
)
|
94 |
-
for devset in args.devsets:
|
95 |
-
valid_inp_prefix = os.path.join(
|
96 |
-
args.raw_data, f"IWSLT17.TED.{devset}.{first_l}-{second_l}"
|
97 |
-
)
|
98 |
-
extract_eval(
|
99 |
-
f"{valid_inp_prefix}.{args.source_lang}.xml",
|
100 |
-
f"{valid_out_prefix}.{args.source_lang}",
|
101 |
-
docids_out=f"{valid_out_prefix}.docids",
|
102 |
-
)
|
103 |
-
extract_eval(
|
104 |
-
f"{valid_inp_prefix}.{args.target_lang}.xml",
|
105 |
-
f"{valid_out_prefix}.{args.target_lang}",
|
106 |
-
)
|
107 |
-
|
108 |
-
# generate test set based on testsets paseed
|
109 |
-
test_out_prefix = os.path.join(
|
110 |
-
args.out_data, f"test.{args.source_lang}-{args.target_lang}"
|
111 |
-
)
|
112 |
-
for testset in args.testsets:
|
113 |
-
test_inp_prefix = os.path.join(
|
114 |
-
args.raw_data, f"IWSLT17.TED.{testset}.{first_l}-{second_l}"
|
115 |
-
)
|
116 |
-
extract_eval(
|
117 |
-
f"{test_inp_prefix}.{args.source_lang}.xml",
|
118 |
-
f"{test_out_prefix}.{args.source_lang}",
|
119 |
-
docids_out=f"{test_out_prefix}.docids",
|
120 |
-
)
|
121 |
-
extract_eval(
|
122 |
-
f"{test_inp_prefix}.{args.target_lang}.xml",
|
123 |
-
f"{test_out_prefix}.{args.target_lang}",
|
124 |
-
)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|