File size: 4,174 Bytes
b0f1abd |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 |
# coding=utf-8
# Copyright 2020 HuggingFace Datasets Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# Lint as: python3
"""SHAJ: An abusive language dataset for Albanian"""
import csv
import os
import datasets
logger = datasets.logging.get_logger(__name__)
_CITATION = """\
@article{nurce2021detecting,
title={Detecting Abusive Albanian},
author={Nurce, Erida and Keci, Jorgel and Derczynski, Leon},
journal={arXiv preprint arXiv:2107.13592},
year={2021}
}
"""
_DESCRIPTION = """\
This is an abusive/offensive language detection dataset for Albanian. The data is formatted
following the OffensEval convention, with three tasks:
* Subtask A: Offensive (OFF) or not (NOT)
* Subtask B: Untargeted (UNT) or targeted insult (TIN)
* Subtask C: Type of target: individual (IND), group (GRP), or other (OTH)
* The subtask A field should always be filled.
* The subtask B field should only be filled if there's "offensive" (OFF) in A.
* The subtask C field should only be filled if there's "targeted" (TIN) in B.
The dataset name is a backronym, also standing for "Spoken Hate in the Albanian Jargon"
See the paper [https://arxiv.org/abs/2107.13592](https://arxiv.org/abs/2107.13592) for full details.
"""
_URL = "full_albanian_dataset.csv"
class ShajConfig(datasets.BuilderConfig):
"""BuilderConfig for Shaj"""
def __init__(self, **kwargs):
"""BuilderConfig Shaj.
Args:
**kwargs: keyword arguments forwarded to super.
"""
super(ShajConfig, self).__init__(**kwargs)
class Shaj(datasets.GeneratorBasedBuilder):
"""Shaj dataset."""
BUILDER_CONFIGS = [
ShajConfig(name="Shaj", version=datasets.Version("1.0.0"), description="Abusive language dataset in Albanian"),
]
def _info(self):
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=datasets.Features(
{
"id": datasets.Value("string"),
"text": datasets.Value("string"),
"subtask_a": datasets.features.ClassLabel(
names=[
"OFF",
"NOT",
]
),
"subtask_b": datasets.features.ClassLabel(
names=[
"TIN",
"UNT",
"",
]
),
"subtask_c": datasets.features.ClassLabel(
names=[
"IND",
"GRP",
"OTH",
"",
]
),
}
),
supervised_keys=None,
homepage="https://arxiv.org/abs/2107.13592",
citation=_CITATION,
)
def _split_generators(self, dl_manager):
"""Returns SplitGenerators."""
downloaded_file = dl_manager.download_and_extract(_URL)
return [
datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_file}),
]
def _generate_examples(self, filepath):
logger.info("⏳ Generating examples from = %s", filepath)
with open(filepath, encoding="utf-8") as f:
shaj_reader = csv.DictReader(f, fieldnames=('text','subtask_a','subtask_b','subtask_c'), delimiter=";", quotechar='"')
guid = 0
for instance in shaj_reader:
instance["id"] = str(guid)
yield guid, instance
guid += 1
|