Datasets:
isixhosa_ner_corpus

	# 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
	#
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	# distributed under the License is distributed on an "AS IS" BASIS,
	# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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	""" Named entity annotated data from the NCHLT Text Resource Development: Phase II Project for IsiXhosa"""


	import os

	import datasets


	logger = datasets.logging.get_logger(__name__)


	_CITATION = """\
	@inproceedings{isixhosa_ner_corpus,
	author = {K. Podile and
	Roald Eiselen},
	title = {NCHLT isiXhosa Named Entity Annotated Corpus},
	booktitle = {Eiselen, R. 2016. Government domain named entity recognition for South African languages. Proceedings of the 10th Language Resource and Evaluation Conference, Portorož, Slovenia.},
	year = {2016},
	url = {https://repo.sadilar.org/handle/20.500.12185/312},
	}
	"""

	_DESCRIPTION = """\
	Named entity annotated data from the NCHLT Text Resource Development: Phase II Project, annotated with PERSON, LOCATION, ORGANISATION and MISCELLANEOUS tags.
	"""

	_URL = "https://repo.sadilar.org/bitstream/handle/20.500.12185/312/nchlt_isixhosa_named_entity_annotated_corpus.zip?sequence=3&isAllowed=y"


	_EXTRACTED_FILE = "NCHLT isiXhosa Named Entity Annotated Corpus/Dataset.NCHLT-II.xh.NER.Full.txt"


	class IsixhosaNerCorpusConfig(datasets.BuilderConfig):
	"""BuilderConfig for IsixhosaNerCorpusConfig"""

	def __init__(self, **kwargs):
	"""BuilderConfig for IsixhosaNerCorpusConfig.
	Args:
	**kwargs: keyword arguments forwarded to super.
	"""
	super(IsixhosaNerCorpusConfig, self).__init__(**kwargs)


	class IsixhosaNerCorpus(datasets.GeneratorBasedBuilder):
	"""Isizulu Ner dataset"""

	BUILDER_CONFIGS = [
	IsixhosaNerCorpusConfig(
	name="isixhosa_ner_corpus",
	version=datasets.Version("1.0.0"),
	description="IsixhosaNerCorpus dataset",
	),
	]

	def _info(self):
	return datasets.DatasetInfo(
	description=_DESCRIPTION,
	features=datasets.Features(
	{
	"id": datasets.Value("string"),
	"tokens": datasets.Sequence(datasets.Value("string")),
	"ner_tags": datasets.Sequence(
	datasets.features.ClassLabel(
	names=[
	"OUT",
	"B-PERS",
	"I-PERS",
	"B-ORG",
	"I-ORG",
	"B-LOC",
	"I-LOC",
	"B-MISC",
	"I-MISC",
	]
	)
	),
	}
	),
	supervised_keys=None,
	homepage="https://repo.sadilar.org/handle/20.500.12185/312",
	citation=_CITATION,
	)

	def _split_generators(self, dl_manager):
	data_dir = dl_manager.download_and_extract(_URL)
	return [
	datasets.SplitGenerator(
	name=datasets.Split.TRAIN,
	gen_kwargs={"filepath": os.path.join(data_dir, _EXTRACTED_FILE)},
	),
	]

	def _generate_examples(self, filepath):
	logger.info("⏳ Generating examples from = %s", filepath)
	with open(filepath, encoding="utf-8") as f:
	guid = 0
	tokens = []
	ner_tags = []
	for line in f:
	if line == "" or line == "\n":
	if tokens:
	yield guid, {
	"id": str(guid),
	"tokens": tokens,
	"ner_tags": ner_tags,
	}
	guid += 1
	tokens = []
	ner_tags = []
	else:
	splits = line.split("\t")
	tokens.append(splits[0])
	ner_tags.append(splits[1].rstrip())
	yield guid, {
	"id": str(guid),
	"tokens": tokens,
	"ner_tags": ner_tags,
	}