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Upload malindo_morph.py with huggingface_hub
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malindo_morph.py
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from pathlib import Path
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from typing import Dict, List, Tuple
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import datasets
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from seacrowd.utils.configs import SEACrowdConfig
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from seacrowd.utils.constants import Licenses
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_CITATION = """\
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@InProceedings{NOMOTO18.8,
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author = {Hiroki Nomoto ,Hannah Choi ,David Moeljadi and Francis Bond},
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title = {MALINDO Morph: Morphological dictionary and analyser for Malay/Indonesian},
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booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)},
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year = {2018},
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month = {may},
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date = {7-12},
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location = {Miyazaki, Japan},
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editor = {Kiyoaki Shirai},
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publisher = {European Language Resources Association (ELRA)},
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address = {Paris, France},
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isbn = {979-10-95546-24-5},
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language = {english}
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}
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"""
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_DATASETNAME = "malindo_morph"
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_DESCRIPTION = """\
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MALINDO Morph is a morphological dictionary for Malay (bahasa Melayu) and Indonesian (bahasa Indonesia) language.
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It contains over 200,000 lines, with each containing an analysis for one (case-sensitive) token.
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Each line is made up of the following six items, separated by tabs: root, surface form, prefix, suffix, circumfix, reduplication.
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"""
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_HOMEPAGE = "https://github.com/matbahasa/MALINDO_Morph"
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_LANGUAGES = ["zlm", "ind"] # We follow ISO639-3 language code (https://iso639-3.sil.org/code_tables/639/data)
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_LICENSE = Licenses.CC_BY_4_0.value # example: Licenses.MIT.value, Licenses.CC_BY_NC_SA_4_0.value, Licenses.UNLICENSE.value, Licenses.UNKNOWN.value
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_LOCAL = False
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_URLS = {
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_DATASETNAME: "https://raw.githubusercontent.com/matbahasa/MALINDO_Morph/master/malindo_dic_2023.tsv",
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}
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_SUPPORTED_TASKS = []
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_SOURCE_VERSION = "2023.0.0"
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_SEACROWD_VERSION = "2024.06.20"
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class MalindoMorph(datasets.GeneratorBasedBuilder):
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"""MALINDO Morph is a morphological dictionary for Malay (bahasa Melayu) and Indonesian (bahasa Indonesia) language. It provides morphological information (root, prefix, suffix, circumfix, reduplication) for over 200,000 surface forms."""
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SOURCE_VERSION = datasets.Version(_SOURCE_VERSION)
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SEACROWD_VERSION = datasets.Version(_SEACROWD_VERSION)
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BUILDER_CONFIGS = [
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SEACrowdConfig(
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name=f"{_DATASETNAME}_source",
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version=SOURCE_VERSION,
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description=f"{_DATASETNAME} source schema",
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schema="source",
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subset_id=f"{_DATASETNAME}",
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),
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]
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DEFAULT_CONFIG_NAME = f"{_DATASETNAME}_source"
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def _info(self) -> datasets.DatasetInfo:
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if self.config.schema == "source":
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features = datasets.Features(
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{
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"id": datasets.Value("string"),
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"root": datasets.Value("string"),
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"bentuk_jadian": datasets.Value("string"),
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"prefix": datasets.Value("string"),
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"suffix": datasets.Value("string"),
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"circumfix": datasets.Value("string"),
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"reduplication": datasets.Value("string"),
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"source": datasets.Value("string"),
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"stem": datasets.Value("string"),
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"lemma": datasets.Value("string"),
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}
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)
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return datasets.DatasetInfo(
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description=_DESCRIPTION,
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features=features,
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homepage=_HOMEPAGE,
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license=_LICENSE,
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citation=_CITATION,
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)
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def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
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"""Returns SplitGenerators."""
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urls = _URLS[_DATASETNAME]
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file = dl_manager.download_and_extract(urls)
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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gen_kwargs={
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"filepath": file,
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"split": "train",
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},
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)
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]
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def _generate_examples(self, filepath: Path, split: str) -> Tuple[int, Dict]:
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"""Yields examples as (key, example) tuples."""
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rows = []
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with open(filepath, encoding="utf8") as file:
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for line in file:
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row = line.split("\t")
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row[-1] = row[-1].split("\n")[0] # remove newlines from lemma feature
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rows.append(row)
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if self.config.schema == "source":
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for key, row in enumerate(rows):
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example = {"id": row[0], "root": row[1], "bentuk_jadian": row[2], "prefix": row[3], "suffix": row[4], "circumfix": row[5], "reduplication": row[6], "source": row[7], "stem": row[8], "lemma": row[9]}
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yield key, example
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