Datasets:
Several
Browse files- Naija-Lexicons.py +149 -0
- dataset_infos.json +56 -0
Naija-Lexicons.py
ADDED
@@ -0,0 +1,149 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
# coding=utf-8
|
2 |
+
# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
|
3 |
+
#
|
4 |
+
# Licensed under the Apache License, Version 2.0 (the "License");
|
5 |
+
# you may not use this file except in compliance with the License.
|
6 |
+
# You may obtain a copy of the License at
|
7 |
+
#
|
8 |
+
# http://www.apache.org/licenses/LICENSE-2.0
|
9 |
+
#
|
10 |
+
# Unless required by applicable law or agreed to in writing, software
|
11 |
+
# distributed under the License is distributed on an "AS IS" BASIS,
|
12 |
+
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
13 |
+
# See the License for the specific language governing permissions and
|
14 |
+
# limitations under the License.
|
15 |
+
"""NaijaSenti: A Nigerian Twitter Sentiment Corpus for Multilingual Sentiment Analysis"""
|
16 |
+
|
17 |
+
|
18 |
+
|
19 |
+
_HOMEPAGE = "https://github.com/hausanlp/NaijaSenti"
|
20 |
+
|
21 |
+
_DESCRIPTION = """\
|
22 |
+
Naija-Stopwords is a part of the Naija-Senti project. It is a list of collected stopwords from the four most widely spoken languages in Nigeria — Hausa, Igbo, Nigerian-Pidgin, and Yorùbá.
|
23 |
+
"""
|
24 |
+
|
25 |
+
|
26 |
+
_CITATION = """\
|
27 |
+
@inproceedings{muhammad-etal-2022-naijasenti,
|
28 |
+
title = "{N}aija{S}enti: A {N}igerian {T}witter Sentiment Corpus for Multilingual Sentiment Analysis",
|
29 |
+
author = "Muhammad, Shamsuddeen Hassan and
|
30 |
+
Adelani, David Ifeoluwa and
|
31 |
+
Ruder, Sebastian and
|
32 |
+
Ahmad, Ibrahim Sa{'}id and
|
33 |
+
Abdulmumin, Idris and
|
34 |
+
Bello, Bello Shehu and
|
35 |
+
Choudhury, Monojit and
|
36 |
+
Emezue, Chris Chinenye and
|
37 |
+
Abdullahi, Saheed Salahudeen and
|
38 |
+
Aremu, Anuoluwapo and
|
39 |
+
Jorge, Al{\'\i}pio and
|
40 |
+
Brazdil, Pavel",
|
41 |
+
booktitle = "Proceedings of the Thirteenth Language Resources and Evaluation Conference",
|
42 |
+
month = jun,
|
43 |
+
year = "2022",
|
44 |
+
address = "Marseille, France",
|
45 |
+
publisher = "European Language Resources Association",
|
46 |
+
url = "https://aclanthology.org/2022.lrec-1.63",
|
47 |
+
pages = "590--602",
|
48 |
+
}
|
49 |
+
"""
|
50 |
+
|
51 |
+
|
52 |
+
import textwrap
|
53 |
+
import pandas as pd
|
54 |
+
|
55 |
+
import datasets
|
56 |
+
|
57 |
+
LANGUAGES = ['hausa', 'igbo', 'yoruba']
|
58 |
+
|
59 |
+
class NaijaLexiconsConfig(datasets.BuilderConfig):
|
60 |
+
"""BuilderConfig for NaijaLexicons"""
|
61 |
+
|
62 |
+
def __init__(
|
63 |
+
self,
|
64 |
+
text_features,
|
65 |
+
label_column,
|
66 |
+
label_classes,
|
67 |
+
manual_url,
|
68 |
+
translated_url,
|
69 |
+
citation,
|
70 |
+
**kwargs,
|
71 |
+
):
|
72 |
+
"""BuilderConfig for NaijaLexicons.
|
73 |
+
|
74 |
+
Args:
|
75 |
+
text_features: `dict[string]`, map from the name of the feature
|
76 |
+
dict for each text field to the name of the column in the txt/csv/tsv file
|
77 |
+
label_column: `string`, name of the column in the txt/csv/tsv file corresponding
|
78 |
+
to the label
|
79 |
+
label_classes: `list[string]`, the list of classes if the label is categorical
|
80 |
+
train_url: `string`, url to train file from
|
81 |
+
valid_url: `string`, url to valid file from
|
82 |
+
test_url: `string`, url to test file from
|
83 |
+
citation: `string`, citation for the data set
|
84 |
+
**kwargs: keyword arguments forwarded to super.
|
85 |
+
"""
|
86 |
+
super(NaijaLexiconsConfig, self).__init__(version=datasets.Version("1.0.0", ""), **kwargs)
|
87 |
+
self.text_features = text_features
|
88 |
+
self.label_column = label_column
|
89 |
+
self.label_classes = label_classes
|
90 |
+
self.manual_url = manual_url
|
91 |
+
self.translated_url = translated_url
|
92 |
+
self.citation = citation
|
93 |
+
|
94 |
+
|
95 |
+
class NaijaLexicons(datasets.GeneratorBasedBuilder):
|
96 |
+
"""NaijaLexicons benchmark"""
|
97 |
+
|
98 |
+
BUILDER_CONFIGS = []
|
99 |
+
|
100 |
+
for lang in LANGUAGES:
|
101 |
+
BUILDER_CONFIGS.append(
|
102 |
+
NaijaLexiconsConfig(
|
103 |
+
name=lang,
|
104 |
+
description=textwrap.dedent(
|
105 |
+
f"""{_DESCRIPTION}"""
|
106 |
+
),
|
107 |
+
text_features={"word": "word"},
|
108 |
+
label_classes=["positive", "negative"],
|
109 |
+
label_column="label",
|
110 |
+
manual_url=f"https://raw.githubusercontent.com/hausanlp/NaijaSenti/main/data/sentiment-lexicons/manual/{lang}/mixed.csv",
|
111 |
+
translated_url=f"https://raw.githubusercontent.com/hausanlp/NaijaSenti/main/data/sentiment-lexicons/translated/{lang}/mixed.csv",
|
112 |
+
citation=textwrap.dedent(
|
113 |
+
f"""{_CITATION}"""
|
114 |
+
),
|
115 |
+
),
|
116 |
+
)
|
117 |
+
|
118 |
+
def _info(self):
|
119 |
+
features = {text_feature: datasets.Value("string") for text_feature in self.config.text_features}
|
120 |
+
features["label"] = datasets.features.ClassLabel(names=self.config.label_classes)
|
121 |
+
|
122 |
+
return datasets.DatasetInfo(
|
123 |
+
description=self.config.description,
|
124 |
+
features=datasets.Features(features),
|
125 |
+
citation=self.config.citation,
|
126 |
+
)
|
127 |
+
|
128 |
+
def _split_generators(self, dl_manager):
|
129 |
+
"""Returns SplitGenerators."""
|
130 |
+
manual_path = dl_manager.download_and_extract(self.config.manual_url)
|
131 |
+
translated_path = dl_manager.download_and_extract(self.config.translated_url)
|
132 |
+
|
133 |
+
return [
|
134 |
+
datasets.SplitGenerator(name='words', gen_kwargs={"filepath": manual_path}),
|
135 |
+
datasets.SplitGenerator(name='words', gen_kwargs={"filepath": translated_path})
|
136 |
+
]
|
137 |
+
|
138 |
+
def _generate_examples(self, filepath):
|
139 |
+
df = pd.read_csv(filepath)
|
140 |
+
|
141 |
+
print('-'*100)
|
142 |
+
print(df.head())
|
143 |
+
print('-'*100)
|
144 |
+
|
145 |
+
for id_, row in df.iterrows():
|
146 |
+
word = row["word"]
|
147 |
+
label = row["label"]
|
148 |
+
|
149 |
+
yield id_, {"word": word, "label": label}
|
dataset_infos.json
ADDED
@@ -0,0 +1,56 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"default": {
|
3 |
+
"description": "Naija-Lexicons is a part of the Naija-Senti project. It is a list of collected stopwords from the four most widely spoken languages in Nigeria — Hausa, Igbo, Nigerian-Pidgin, and Yorùbá.\n",
|
4 |
+
"citation": " ",
|
5 |
+
"homepage": "https://github.com/hausanlp/NaijaSenti",
|
6 |
+
"license": "",
|
7 |
+
"features": {
|
8 |
+
"word": {
|
9 |
+
"dtype": "string",
|
10 |
+
"id": null,
|
11 |
+
"_type": "Value"
|
12 |
+
},
|
13 |
+
"label": {
|
14 |
+
"num_classes": 2,
|
15 |
+
"names": [
|
16 |
+
"positive",
|
17 |
+
"negative"
|
18 |
+
],
|
19 |
+
"names_file": null,
|
20 |
+
"id": null,
|
21 |
+
"_type": "ClassLabel"
|
22 |
+
}
|
23 |
+
},
|
24 |
+
"post_processed": null,
|
25 |
+
"supervised_keys": {
|
26 |
+
"input": "word",
|
27 |
+
"output": "label"
|
28 |
+
},
|
29 |
+
"task_templates": [
|
30 |
+
{
|
31 |
+
"task": "text-classification",
|
32 |
+
"text_column": "word",
|
33 |
+
"label_column": "label",
|
34 |
+
"labels": [
|
35 |
+
"positive",
|
36 |
+
"negative",
|
37 |
+
"neutral"
|
38 |
+
]
|
39 |
+
}
|
40 |
+
],
|
41 |
+
"builder_name": "NaijaLexicons",
|
42 |
+
"config_name": "default",
|
43 |
+
"version": {
|
44 |
+
"version_str": "0.0.0",
|
45 |
+
"description": null,
|
46 |
+
"major": 0,
|
47 |
+
"minor": 0,
|
48 |
+
"patch": 0
|
49 |
+
|
50 |
+
},
|
51 |
+
"download_size": 2069616,
|
52 |
+
"post_processing_size": null,
|
53 |
+
"dataset_size": 2173417,
|
54 |
+
"size_in_bytes": 4243033
|
55 |
+
}
|
56 |
+
}
|