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Datasets:
igbo_monolingual

Tasks:
Text Generation
Fill-Mask
Sub-tasks: language-modeling masked-language-modeling
Languages: Igbo
Multilinguality: monolingual
Size Categories: 1K<n<10K n<1K
Language Creators: found
Annotations Creators: found
Source Datasets: original
ArXiv:
Tags:
License:
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igbo_monolingual / igbo_monolingual.py
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# coding=utf-8
# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
#
# 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.
"""Igbo Monolingual Dataset"""
import json
import os
import datasets
_CITATION = """\
@misc{ezeani2020igboenglish,
title={Igbo-English Machine Translation: An Evaluation Benchmark},
author={Ignatius Ezeani and Paul Rayson and Ikechukwu Onyenwe and Chinedu Uchechukwu and Mark Hepple},
year={2020},
eprint={2004.00648},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
"""
_DESCRIPTION = """\
A dataset is a collection of Monolingual Igbo sentences.
"""
_HOMEPAGE = "https://github.com/IgnatiusEzeani/IGBONLP/tree/master/ig_monoling"
_URL = "https://github.com/IgnatiusEzeani/IGBONLP/raw/master/ig_monoling/json.zip"
class IgboMonolingual(datasets.GeneratorBasedBuilder):
"""collection of Monolingual Igbo sentences from different sources"""
VERSION = datasets.Version("1.1.0")
BUILDER_CONFIGS = [
datasets.BuilderConfig(
name="eze_goes_to_school",
version=VERSION,
description="Igbo sentences from Master's Thesis; UZOALOR, JOY UCHE",
),
datasets.BuilderConfig(
name="bbc-igbo", version=VERSION, description="Igbo sentences from https://www.bbc.com/igbo/"
),
datasets.BuilderConfig(
name="igbo-radio", version=VERSION, description="Igbo sentences from https://www.igboradio.com"
),
datasets.BuilderConfig(
name="jw-ot-igbo", version=VERSION, description="Igbo sentences from 929 pages of 39 books"
),
datasets.BuilderConfig(
name="jw-nt-igbo", version=VERSION, description="Igbo sentences from 260 pages of 27 books"
),
datasets.BuilderConfig(
name="jw-books", version=VERSION, description="Igbo sentences from 2204 pages of 48 books "
),
datasets.BuilderConfig(
name="jw-teta", version=VERSION, description="Igbo sentences from 392 pages of 37 magazines"
),
datasets.BuilderConfig(
name="jw-ulo_nche", version=VERSION, description="Igbo sentences from 594 pages of 55 magazines"
),
datasets.BuilderConfig(
name="jw-ulo_nche_naamu", version=VERSION, description="Igbo sentences from 870 pages of 88 magazines"
),
]
def _info(self):
if self.config.name == "eze_goes_to_school":
features = datasets.Features(
{
"format": datasets.Value("string"),
"title": datasets.Value("string"),
"chapters": datasets.Sequence(
{"title": datasets.Value("string"), "content": datasets.Value("string")}
),
}
)
elif self.config.name == "bbc-igbo":
features = datasets.Features(
{
"source": datasets.Value("string"),
"title": datasets.Value("string"),
"description": datasets.Value("string"),
"date": datasets.Value("string"),
"headline": datasets.Value("string"),
"content": datasets.Value("string"),
"tags": datasets.Sequence(datasets.Value("string")),
}
)
elif self.config.name == "igbo-radio":
features = datasets.Features(
{
"source": datasets.Value("string"),
"headline": datasets.Value("string"),
"author": datasets.Value("string"),
"date": datasets.Value("string"),
"description": datasets.Value("string"),
"content": datasets.Value("string"),
}
)
elif self.config.name == "jw-ot-igbo":
features = datasets.Features(
{
"format": datasets.Value("string"),
"title": datasets.Value("string"),
"chapters": datasets.Sequence(
{"title": datasets.Value("string"), "content": datasets.Value("string")}
),
}
)
elif self.config.name == "jw-nt-igbo":
features = datasets.Features(
{
"format": datasets.Value("string"),
"title": datasets.Value("string"),
"chapters": datasets.Sequence(
{"title": datasets.Value("string"), "content": datasets.Value("string")}
),
}
)
elif self.config.name == "jw-books":
features = datasets.Features(
{
"title": datasets.Value("string"),
"content": datasets.Value("string"),
"format": datasets.Value("string"),
"date": datasets.Value("string"),
}
)
elif self.config.name == "jw-teta":
features = datasets.Features(
{
"title": datasets.Value("string"),
"content": datasets.Value("string"),
"format": datasets.Value("string"),
"date": datasets.Value("string"),
}
)
elif self.config.name == "jw-ulo_nche":
features = datasets.Features(
{
"title": datasets.Value("string"),
"content": datasets.Value("string"),
"format": datasets.Value("string"),
"date": datasets.Value("string"),
}
)
elif self.config.name == "jw-ulo_nche_naamu":
features = datasets.Features(
{
"title": datasets.Value("string"),
"content": datasets.Value("string"),
"format": datasets.Value("string"),
"date": datasets.Value("string"),
}
)
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=features,
supervised_keys=None,
homepage=_HOMEPAGE,
citation=_CITATION,
)
def _split_generators(self, dl_manager):
"""Returns SplitGenerators."""
data_dir = dl_manager.download_and_extract(_URL)
if self.config.name == "eze_goes_to_school":
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={
"filepath": os.path.join(data_dir, "eze_goes_to_school.json"),
"split": "train",
},
),
]
elif self.config.name == "bbc-igbo":
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={
"filepath": os.path.join(data_dir, "bbc-igbo.json"),
"split": "train",
},
),
]
elif self.config.name == "igbo-radio":
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={
"filepath": os.path.join(data_dir, "igbo-radio.json"),
"split": "train",
},
),
]
elif self.config.name == "jw-ot-igbo":
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={
"filepath": os.path.join(data_dir, "jw-ot-igbo.json"),
"split": "train",
},
),
]
elif self.config.name == "jw-nt-igbo":
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={
"filepath": os.path.join(data_dir, "jw-nt-igbo.json"),
"split": "train",
},
),
]
elif self.config.name == "jw-books":
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={
"filepath": os.path.join(data_dir, "jw-books.json"),
"split": "train",
},
),
]
elif self.config.name == "jw-teta":
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={
"filepath": os.path.join(data_dir, "jw-teta.json"),
"split": "train",
},
),
]
elif self.config.name == "jw-ulo_nche":
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={
"filepath": os.path.join(data_dir, "jw-ulo_nche.json"),
"split": "train",
},
),
]
elif self.config.name == "jw-ulo_nche_naamu":
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={
"filepath": os.path.join(data_dir, "jw-ulo_nche_naamu.json"),
"split": "train",
},
),
]
def _generate_examples(self, filepath, split):
"""Yields examples."""
if self.config.name == "eze_goes_to_school":
with open(filepath, "r", encoding="utf-8") as f:
json_data = json.load(f)
for id_, data in enumerate(json_data):
yield id_, {
"format": data["format"],
"title": data["title"],
"chapters": data["chapters"],
}
elif self.config.name == "bbc-igbo":
with open(filepath, "r", encoding="utf-8") as f:
json_data = json.load(f)
for id_, data in enumerate(json_data):
yield id_, {
"source": data["source"] if "source" in data.keys() else "",
"title": data["title"] if "title" in data.keys() else "",
"description": data["description"] if "description" in data.keys() else "",
"date": data["date"] if "date" in data.keys() else "",
"headline": data["headline"] if "headline" in data.keys() else "",
"content": data["content"] if "content" in data.keys() else "",
"tags": data["tags"] if "tags" in data.keys() else [],
}
elif self.config.name == "igbo-radio":
with open(filepath, "r", encoding="utf-8") as f:
json_data = json.load(f)
for id_, data in enumerate(json_data):
yield id_, {
"source": data["source"],
"headline": data["headline"],
"author": data["author"],
"date": data["date"],
"description": data["description"] if "description" in data.keys() else "",
"content": data["content"] if "content" in data.keys() else "",
}
elif self.config.name == "jw-ot-igbo":
with open(filepath, "r", encoding="utf-8") as f:
json_data = json.load(f)
for id_, data in enumerate(json_data):
yield id_, {
"format": data["format"],
"title": data["title"],
"chapters": data["chapters"],
}
elif self.config.name == "jw-nt-igbo":
with open(filepath, "r", encoding="utf-8") as f:
json_data = json.load(f)
for id_, data in enumerate(json_data):
yield id_, {
"format": data["format"],
"title": data["title"],
"chapters": data["chapters"],
}
elif self.config.name == "jw-books":
with open(filepath, "r", encoding="utf-8") as f:
json_data = json.load(f)
for id_, data in enumerate(json_data):
yield id_, {
"title": data["title"],
"content": data["content"],
"format": data["format"],
"date": data["date"] if "date" in data.keys() else "",
}
elif self.config.name == "jw-teta":
with open(filepath, "r", encoding="utf-8") as f:
json_data = json.load(f)
for id_, data in enumerate(json_data):
yield id_, {
"title": data["title"],
"content": data["content"],
"format": data["format"],
"date": data["date"] if "date" in data.keys() else "",
}
elif self.config.name == "jw-ulo_nche":
with open(filepath, "r", encoding="utf-8") as f:
json_data = json.load(f)
for id_, data in enumerate(json_data):
yield id_, {
"title": data["title"],
"content": data["content"],
"format": data["format"],
"date": data["date"] if "date" in data.keys() else "",
}
elif self.config.name == "jw-ulo_nche_naamu":
with open(filepath, "r", encoding="utf-8") as f:
json_data = json.load(f)
for id_, data in enumerate(json_data):
yield id_, {
"title": data["title"],
"content": data["content"],
"format": data["format"],
"date": data["date"] if "date" in data.keys() else "",
}