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