| import os |
| from pathlib import Path |
| from typing import Dict, List |
|
|
| import datasets |
|
|
| from seacrowd.utils import schemas |
| from seacrowd.utils.configs import SEACrowdConfig |
| from seacrowd.utils.constants import Tasks |
|
|
| _CITATION = """\ |
| @article{published_papers/22434604, |
| title = {TUFS Asian Language Parallel Corpus (TALPCo)}, |
| author = {Hiroki Nomoto and Kenji Okano and David Moeljadi and Hideo Sawada}, |
| journal = {言語処理学会 第24回年次大会 発表論文集}, |
| pages = {436--439}, |
| year = {2018} |
| } |
| @article{published_papers/22434603, |
| title = {Interpersonal meaning annotation for Asian language corpora: The case of TUFS Asian Language Parallel Corpus (TALPCo)}, |
| author = {Hiroki Nomoto and Kenji Okano and Sunisa Wittayapanyanon and Junta Nomura}, |
| journal = {言語処理学会 第25回年次大会 発表論文集}, |
| pages = {846--849}, |
| year = {2019} |
| } |
| """ |
| _DATASETNAME = "talpco" |
| _DESCRIPTION = """\ |
| The TUFS Asian Language Parallel Corpus (TALPCo) is an open parallel corpus consisting of Japanese sentences |
| and their translations into Korean, Burmese (Myanmar; the official language of the Republic of the Union of Myanmar), |
| Malay (the national language of Malaysia, Singapore and Brunei), Indonesian, Thai, Vietnamese and English. |
| """ |
| _HOMEPAGE = "https://github.com/matbahasa/TALPCo" |
| _LOCAL = False |
| _LANGUAGES = ["eng", "ind", "jpn", "kor", "myn", "tha", "vie", "zsm"] |
| _LICENSE = "CC-BY 4.0" |
| _URLS = { |
| _DATASETNAME: "https://github.com/matbahasa/TALPCo/archive/refs/heads/master.zip", |
| } |
| _SUPPORTED_TASKS = [Tasks.MACHINE_TRANSLATION] |
| _SOURCE_VERSION = "1.0.0" |
| _SEACROWD_VERSION = "2024.06.20" |
|
|
|
|
| def seacrowd_config_constructor(lang_source, lang_target, schema, version): |
| """Construct SEACrowdConfig with talpco_{lang_source}_{lang_target}_{schema} as the name format""" |
| if schema != "source" and schema != "seacrowd_t2t": |
| raise ValueError(f"Invalid schema: {schema}") |
|
|
| if lang_source == "" and lang_target == "": |
| return SEACrowdConfig( |
| name="talpco_{schema}".format(schema=schema), |
| version=datasets.Version(version), |
| description="talpco with {schema} schema for all 7 language pairs from / to ind language".format(schema=schema), |
| schema=schema, |
| subset_id="talpco", |
| ) |
| else: |
| return SEACrowdConfig( |
| name="talpco_{lang_source}_{lang_target}_{schema}".format(lang_source=lang_source, lang_target=lang_target, schema=schema), |
| version=datasets.Version(version), |
| description="talpco with {schema} schema for {lang_source} source language and {lang_target} target language".format(lang_source=lang_source, lang_target=lang_target, schema=schema), |
| schema=schema, |
| subset_id="talpco", |
| ) |
|
|
|
|
| class TALPCo(datasets.GeneratorBasedBuilder): |
| """TALPCo datasets contains 1372 datasets in 8 languages""" |
|
|
| BUILDER_CONFIGS = ( |
| [seacrowd_config_constructor(lang1, lang2, "source", _SOURCE_VERSION) for lang1 in _LANGUAGES for lang2 in _LANGUAGES if lang1 != lang2] |
| + [seacrowd_config_constructor(lang1, lang2, "seacrowd_t2t", _SEACROWD_VERSION) for lang1 in _LANGUAGES for lang2 in _LANGUAGES if lang1 != lang2] |
| + [seacrowd_config_constructor("", "", "source", _SOURCE_VERSION), seacrowd_config_constructor("", "", "seacrowd_t2t", _SEACROWD_VERSION)] |
| ) |
|
|
| DEFAULT_CONFIG_NAME = "talpco_jpn_ind_source" |
|
|
| def _info(self) -> datasets.DatasetInfo: |
| if self.config.schema == "source" or self.config.schema == "seacrowd_t2t": |
| features = schemas.text2text_features |
| else: |
| raise ValueError(f"Invalid config schema: {self.config.schema}") |
|
|
| return datasets.DatasetInfo( |
| description=_DESCRIPTION, |
| features=features, |
| homepage=_HOMEPAGE, |
| license=_LICENSE, |
| citation=_CITATION, |
| ) |
|
|
| def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]: |
| urls = _URLS[_DATASETNAME] |
| base_path = Path(dl_manager.download_and_extract(urls)) / "TALPCo-master" |
| data = {} |
| for lang in _LANGUAGES: |
| lang_file_name = "data_" + lang + ".txt" |
| lang_file_path = base_path / lang / lang_file_name |
| if os.path.isfile(lang_file_path): |
| with open(lang_file_path, "r") as file: |
| data[lang] = file.read().strip("\n").split("\n") |
|
|
| return [ |
| datasets.SplitGenerator( |
| name=datasets.Split.TRAIN, |
| gen_kwargs={ |
| "data": data, |
| "split": "train", |
| }, |
| ), |
| ] |
|
|
| def _generate_examples(self, data: Dict, split: str): |
| if self.config.schema != "source" and self.config.schema != "seacrowd_t2t": |
| raise ValueError(f"Invalid config schema: {self.config.schema}") |
|
|
| if self.config.name == "talpco_source" or self.config.name == "talpco_seacrowd_t2t": |
| |
| lang_target = "ind" |
| for lang_source in _LANGUAGES: |
| if lang_source == lang_target: |
| continue |
| for language_pair_data in self.generate_language_pair_data(lang_source, lang_target, data): |
| yield language_pair_data |
|
|
| lang_source = "ind" |
| for lang_target in _LANGUAGES: |
| if lang_source == lang_target: |
| continue |
| for language_pair_data in self.generate_language_pair_data(lang_source, lang_target, data): |
| yield language_pair_data |
| else: |
| _, lang_source, lang_target = self.config.name.replace(f"_{self.config.schema}", "").split("_") |
| for language_pair_data in self.generate_language_pair_data(lang_source, lang_target, data): |
| yield language_pair_data |
|
|
| def generate_language_pair_data(self, lang_source, lang_target, data): |
| dict_source = {} |
| for row in data[lang_source]: |
| id, text = row.split("\t") |
| dict_source[id] = text |
|
|
| dict_target = {} |
| for row in data[lang_target]: |
| id, text = row.split("\t") |
| dict_target[id] = text |
|
|
| all_ids = set([k for k in dict_source.keys()] + [k for k in dict_target.keys()]) |
| dict_merged = {k: [dict_source.get(k), dict_target.get(k)] for k in all_ids} |
|
|
| for id in sorted(all_ids): |
| ex = { |
| "id": lang_source + "_" + lang_target + "_" + id, |
| "text_1": dict_merged[id][0], |
| "text_2": dict_merged[id][1], |
| "text_1_name": lang_source, |
| "text_2_name": lang_target, |
| } |
| yield lang_source + "_" + lang_target + "_" + id, ex |
|
|
