# 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. """Dataset that includes list of Arabic first names with meaning and origin of most names""" import csv import datasets _CITATION = """\ @software{Al-Fetyani_Maha_Processing_Library_2021, author = {Al-Fetyani, Mohammad}, month = {11}, title = {{Maha Processing Library}}, url = {https://github.com/TRoboto/Maha}, year = {2021} } """ _DESCRIPTION = """\ List of Arabic first names with meaning and origin of most names """ _URL = "https://huggingface.co/datasets/TRoboto/names/raw/main/data/names.tsv" class Names(datasets.GeneratorBasedBuilder): """List of Arabic first names with meaning and origin of most names""" VERSION = datasets.Version("1.0.1") def _info(self): return datasets.DatasetInfo( description=_DESCRIPTION, features=datasets.Features( { "name": datasets.Value("string"), "description": datasets.Value("string"), "origin": datasets.Value("string"), } ), citation=_CITATION, ) def _split_generators(self, dl_manager): name_path = dl_manager.download_and_extract(_URL) return [ datasets.SplitGenerator( name=datasets.Split.TRAIN, gen_kwargs={"filepath": name_path} ), ] def _generate_examples(self, filepath): with open(filepath, encoding="utf-8") as f: data = csv.reader(f, delimiter="\t") next(data, None) # skip the headers for row_id, row in enumerate(data): name, description, origin = row yield row_id, { "name": name, "description": description, "origin": origin, }