Datasets:
Update ViHOS.py
Browse files
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 |
-
|
| 49 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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]
|