|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
"""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) |
|
for row_id, row in enumerate(data): |
|
name, description, origin = row |
|
yield row_id, { |
|
"name": name, |
|
"description": description, |
|
"origin": origin, |
|
} |
|
|