Datasets:
Delete IndicNLP-Multilingual.py
Browse files- IndicNLP-Multilingual.py +0 -68
IndicNLP-Multilingual.py
DELETED
@@ -1,68 +0,0 @@
|
|
1 |
-
"""TODO(IndicSentiment): Add a description here."""
|
2 |
-
|
3 |
-
|
4 |
-
import json
|
5 |
-
|
6 |
-
import datasets
|
7 |
-
|
8 |
-
|
9 |
-
_HOMEPAGE = ""
|
10 |
-
|
11 |
-
_CITATION = """\
|
12 |
-
"""
|
13 |
-
|
14 |
-
_DESCRIPTION = """\
|
15 |
-
"""
|
16 |
-
|
17 |
-
_LANG = ["telugu"]
|
18 |
-
_URL = "https://huggingface.co/datasets/Sakshamrzt/IndicNLP-Multilingual/tree/main/{language}-{split}.jsonl"
|
19 |
-
_VERSION = datasets.Version("1.0.0", "First version of IndicNLP-Multilingual")
|
20 |
-
|
21 |
-
|
22 |
-
class IndicNLP-Multilingual(datasets.GeneratorBasedBuilder):
|
23 |
-
BUILDER_CONFIGS = [
|
24 |
-
datasets.BuilderConfig(
|
25 |
-
name=f"news-{lang}",
|
26 |
-
description=f"translated sentiment data for {lang}",
|
27 |
-
version=_VERSION,
|
28 |
-
)
|
29 |
-
for lang in _LANG
|
30 |
-
]
|
31 |
-
|
32 |
-
def _info(self):
|
33 |
-
return datasets.DatasetInfo(
|
34 |
-
description=_DESCRIPTION + self.config.description,
|
35 |
-
features=datasets.Features(
|
36 |
-
{
|
37 |
-
"news": datasets.Value("string"),
|
38 |
-
"class": datasets.Value("string"),
|
39 |
-
}
|
40 |
-
),
|
41 |
-
homepage=_HOMEPAGE,
|
42 |
-
citation=_CITATION,
|
43 |
-
)
|
44 |
-
|
45 |
-
def _split_generators(self, dl_manager):
|
46 |
-
"""Returns SplitGenerators."""
|
47 |
-
*translation_prefix, language = self.config.name.split("-")
|
48 |
-
splits = {datasets.Split.TRAIN: "train", datasets.Split.TEST: "test"}
|
49 |
-
|
50 |
-
data_urls = {
|
51 |
-
split: _URL.format(language=language, split=splits[split]) for split in splits
|
52 |
-
}
|
53 |
-
dl_paths = dl_manager.download(data_urls)
|
54 |
-
return [
|
55 |
-
datasets.SplitGenerator(
|
56 |
-
name=split,
|
57 |
-
gen_kwargs={"filepath": dl_paths[split]},
|
58 |
-
)
|
59 |
-
for split in splits
|
60 |
-
]
|
61 |
-
|
62 |
-
def _generate_examples(self, filepath):
|
63 |
-
"""Yields examples."""
|
64 |
-
|
65 |
-
with open(filepath, encoding="utf-8") as f:
|
66 |
-
for idx, row in enumerate(f):
|
67 |
-
data = json.loads(row)
|
68 |
-
yield idx, data
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|