phusroyal commited on
Commit
4e69905
1 Parent(s): e834dbc

Update ViHOS.py

Browse files
Files changed (1) hide show
  1. ViHOS.py +14 -2
ViHOS.py CHANGED
@@ -1,6 +1,7 @@
1
  """ViHOS - Vietnamese Hate and Offensive Spans dataset"""
2
 
3
  import pandas as pd
 
4
  import datasets
5
 
6
  _DESCRIPTION = """\
@@ -21,6 +22,7 @@ class ViHOS(datasets.GeneratorBasedBuilder):
21
  def _info(self):
22
  return datasets.DatasetInfo(
23
  description=_DESCRIPTION,
 
24
  features=datasets.Features(
25
  {
26
  "id": datasets.Value("string"),
@@ -28,12 +30,15 @@ class ViHOS(datasets.GeneratorBasedBuilder):
28
  "index_spans": datasets.Value("string")
29
  }
30
  ),
 
31
  homepage=_HOMEPAGE,
 
32
  license=_LICENSE
33
  )
34
 
35
  def _split_generators(self, dl_manager):
36
  data_dir = dl_manager.download_and_extract(_URLS)
 
37
  return [
38
  datasets.SplitGenerator(
39
  name=datasets.Split.TRAIN,
@@ -45,5 +50,12 @@ class ViHOS(datasets.GeneratorBasedBuilder):
45
  ]
46
 
47
  def _generate_examples(self, filepath, split):
48
- data = pd.read_csv(filepath)
49
- yield data.iloc[:, 0], dataframe.iloc[:, 1], dataframe.iloc[:, 2]
 
 
 
 
 
 
 
 
1
  """ViHOS - Vietnamese Hate and Offensive Spans dataset"""
2
 
3
  import pandas as pd
4
+
5
  import datasets
6
 
7
  _DESCRIPTION = """\
 
22
  def _info(self):
23
  return datasets.DatasetInfo(
24
  description=_DESCRIPTION,
25
+
26
  features=datasets.Features(
27
  {
28
  "id": datasets.Value("string"),
 
30
  "index_spans": datasets.Value("string")
31
  }
32
  ),
33
+
34
  homepage=_HOMEPAGE,
35
+
36
  license=_LICENSE
37
  )
38
 
39
  def _split_generators(self, dl_manager):
40
  data_dir = dl_manager.download_and_extract(_URLS)
41
+
42
  return [
43
  datasets.SplitGenerator(
44
  name=datasets.Split.TRAIN,
 
50
  ]
51
 
52
  def _generate_examples(self, filepath, split):
53
+ colnames=['id', 'Content', 'Span ids']
54
+
55
+ with open(filepath, 'r', encoding="utf-8") as f:
56
+ for i, line in enumerate(f):
57
+ data = pd.read_csv(f, colnames=colnames, header = None)
58
+ yield i, data
59
+
60
+ # data = pd.read_csv(filepath, colnames=colnames, header = None)
61
+ # yield data.iloc[:, 0], dataframe.iloc[:, 1], dataframe.iloc[:, 2]