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| | """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, |
| | } |
| |
|