kmyoo commited on
Commit
3b0ffb0
1 Parent(s): c9d98f0

Add dataset files

Browse files
Files changed (6) hide show
  1. README.md +3 -0
  2. data/label.txt +7 -0
  3. data/test.tsv +0 -0
  4. data/train.tsv +0 -0
  5. data/valid.tsv +0 -0
  6. klue-tc-dev-tsv.py +55 -0
README.md ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ This is a in-house development version of KLUE Topic Classification benchmark, as the test split is not released by the KLUE team.
2
+
3
+ We randomly split the original validation set (9,107 instances) into in-house validation set (5,107 instances) and the in-house test set (4,000 instances).
data/label.txt ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ 정치
2
+ 세계
3
+ IT과학
4
+ 스포츠
5
+ 사회
6
+ 경제
7
+ 생활문화
data/test.tsv ADDED
The diff for this file is too large to render. See raw diff
 
data/train.tsv ADDED
The diff for this file is too large to render. See raw diff
 
data/valid.tsv ADDED
The diff for this file is too large to render. See raw diff
 
klue-tc-dev-tsv.py ADDED
@@ -0,0 +1,55 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ from __future__ import absolute_import, division, print_function
2
+ import datasets
3
+ _URL = "data/"
4
+ _URLs = {
5
+ "train": _URL + "train.tsv",
6
+ "valid": _URL + "valid.tsv",
7
+ "test": _URL + "test.tsv",
8
+ }
9
+
10
+
11
+ class KlueTC(datasets.GeneratorBasedBuilder):
12
+
13
+ def _info(self):
14
+ return datasets.DatasetInfo(
15
+ description="KLUE Topic Classification (Dev Split)",
16
+ features=datasets.Features(
17
+ {
18
+ "text": datasets.Value("string"),
19
+ "label": datasets.features.ClassLabel(names=['정치', '세계', 'IT과학', '스포츠', '사회', '경제', '생활문화']),
20
+ }
21
+ ),
22
+ supervised_keys=None,
23
+ license="",
24
+ homepage="",
25
+ citation="",
26
+ )
27
+
28
+ def _split_generators(self, dl_manager):
29
+ downloaded_files = dl_manager.download_and_extract(_URLs)
30
+ return [
31
+ datasets.SplitGenerator(
32
+ name=datasets.Split.TRAIN,
33
+ gen_kwargs={
34
+ "filepath": downloaded_files["train"],
35
+ }
36
+ ),
37
+ datasets.SplitGenerator(
38
+ name=datasets.Split.VALIDATION,
39
+ gen_kwargs={
40
+ "filepath": downloaded_files["valid"],
41
+ }
42
+ ),
43
+ datasets.SplitGenerator(
44
+ name=datasets.Split.TEST,
45
+ gen_kwargs={
46
+ "filepath": downloaded_files["test"],
47
+ }
48
+ ),
49
+ ]
50
+
51
+ def _generate_examples(self, filepath):
52
+ with open(filepath, "r", encoding='UTF-8') as f:
53
+ for idx, line in enumerate(f):
54
+ text, label = line.split("\t")
55
+ yield idx, {"text": text.strip(), "label": label.strip()}