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"""Asian Language Treebank (ALT) Project""" |
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import os |
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import datasets |
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_CITATION = """\ |
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@inproceedings{riza2016introduction, |
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title={Introduction of the asian language treebank}, |
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author={Riza, Hammam and Purwoadi, Michael and Uliniansyah, Teduh and Ti, Aw Ai and Aljunied, Sharifah Mahani and Mai, Luong Chi and Thang, Vu Tat and Thai, Nguyen Phuong and Chea, Vichet and Sam, Sethserey and others}, |
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booktitle={2016 Conference of The Oriental Chapter of International Committee for Coordination and Standardization of Speech Databases and Assessment Techniques (O-COCOSDA)}, |
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pages={1--6}, |
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year={2016}, |
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organization={IEEE} |
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} |
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""" |
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_HOMEPAGE = "https://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/" |
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_DESCRIPTION = """\ |
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The ALT project aims to advance the state-of-the-art Asian natural language processing (NLP) techniques through the open collaboration for developing and using ALT. It was first conducted by NICT and UCSY as described in Ye Kyaw Thu, Win Pa Pa, Masao Utiyama, Andrew Finch and Eiichiro Sumita (2016). Then, it was developed under ASEAN IVO as described in this Web page. The process of building ALT began with sampling about 20,000 sentences from English Wikinews, and then these sentences were translated into the other languages. ALT now has 13 languages: Bengali, English, Filipino, Hindi, Bahasa Indonesia, Japanese, Khmer, Lao, Malay, Myanmar (Burmese), Thai, Vietnamese, Chinese (Simplified Chinese). |
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""" |
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_URLs = { |
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"alt": "https://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/ALT-Parallel-Corpus-20191206.zip", |
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"alt-en": "https://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/English-ALT-20170107.zip", |
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"alt-jp": "https://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/Japanese-ALT-20170330.zip", |
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"alt-my": "https://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/my-alt-190530.zip", |
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"alt-my-transliteration": "https://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/my-en-transliteration.zip", |
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"alt-my-west-transliteration": "https://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/western-myanmar-transliteration.zip", |
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"alt-km": "https://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/km-nova-181101.zip", |
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} |
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_SPLIT = { |
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"train": "https://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/URL-train.txt", |
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"dev": "https://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/URL-dev.txt", |
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"test": "https://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/URL-test.txt", |
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} |
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_WIKI_URL = "https://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/ALT-Parallel-Corpus-20191206/URL.txt" |
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class AltParallelConfig(datasets.BuilderConfig): |
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"""BuilderConfig for ALT.""" |
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def __init__(self, languages, **kwargs): |
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"""BuilderConfig for ALT. |
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Args: |
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for the `datasets.features.text.TextEncoder` used for the features feature. |
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languages: languages that will be used for translation. it should be one of the |
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**kwargs: keyword arguments forwarded to super. |
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""" |
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name = "alt-parallel" |
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description = "ALT Parallel Corpus" |
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super(AltParallelConfig, self).__init__( |
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name=name, |
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description=description, |
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version=datasets.Version("1.0.0", ""), |
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**kwargs, |
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) |
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available_langs = set( |
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["bg", "en", "en_tok", "fil", "hi", "id", "ja", "khm", "lo", "ms", "my", "th", "vi", "zh"] |
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) |
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for language in languages: |
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assert language in available_langs |
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self.languages = languages |
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class Alt(datasets.GeneratorBasedBuilder): |
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"""Asian Language Treebank (ALT) Project""" |
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BUILDER_CONFIGS = [ |
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AltParallelConfig( |
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languages=["bg", "en", "en_tok", "fil", "hi", "id", "ja", "khm", "lo", "ms", "my", "th", "vi", "zh"] |
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), |
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datasets.BuilderConfig(name="alt-en", version=datasets.Version("1.0.0"), description="English ALT"), |
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datasets.BuilderConfig(name="alt-jp", version=datasets.Version("1.0.0"), description="Japanese ALT"), |
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datasets.BuilderConfig(name="alt-my", version=datasets.Version("1.0.0"), description="Myanmar ALT"), |
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datasets.BuilderConfig(name="alt-km", version=datasets.Version("1.0.0"), description="Khmer ALT"), |
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datasets.BuilderConfig( |
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name="alt-my-transliteration", |
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version=datasets.Version("1.0.0"), |
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description="Myanmar-English Transliteration Dataset", |
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), |
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datasets.BuilderConfig( |
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name="alt-my-west-transliteration", |
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version=datasets.Version("1.0.0"), |
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description="Latin-Myanmar Transliteration Dataset", |
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), |
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] |
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DEFAULT_CONFIG_NAME = "alt-parallel" |
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def _info(self): |
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if self.config.name.startswith("alt-parallel"): |
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features = datasets.Features( |
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{ |
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"SNT.URLID": datasets.Value("string"), |
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"SNT.URLID.SNTID": datasets.Value("string"), |
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"url": datasets.Value("string"), |
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"translation": datasets.features.Translation(languages=self.config.languages), |
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} |
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) |
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elif self.config.name == "alt-en": |
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features = datasets.Features( |
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{ |
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"SNT.URLID": datasets.Value("string"), |
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"SNT.URLID.SNTID": datasets.Value("string"), |
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"url": datasets.Value("string"), |
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"status": datasets.Value("string"), |
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"value": datasets.Value("string"), |
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} |
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) |
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elif self.config.name == "alt-jp": |
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features = datasets.Features( |
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{ |
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"SNT.URLID": datasets.Value("string"), |
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"SNT.URLID.SNTID": datasets.Value("string"), |
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"url": datasets.Value("string"), |
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"status": datasets.Value("string"), |
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"value": datasets.Value("string"), |
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"word_alignment": datasets.Value("string"), |
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"jp_tokenized": datasets.Value("string"), |
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"en_tokenized": datasets.Value("string"), |
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} |
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) |
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elif self.config.name == "alt-my": |
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features = datasets.Features( |
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{ |
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"SNT.URLID": datasets.Value("string"), |
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"SNT.URLID.SNTID": datasets.Value("string"), |
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"url": datasets.Value("string"), |
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"value": datasets.Value("string"), |
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} |
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) |
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elif self.config.name == "alt-my-transliteration": |
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features = datasets.Features( |
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{ |
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"en": datasets.Value("string"), |
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"my": datasets.Sequence(datasets.Value("string")), |
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} |
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) |
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elif self.config.name == "alt-my-west-transliteration": |
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features = datasets.Features( |
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{ |
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"en": datasets.Value("string"), |
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"my": datasets.Sequence(datasets.Value("string")), |
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} |
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) |
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elif self.config.name == "alt-km": |
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features = datasets.Features( |
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{ |
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"SNT.URLID": datasets.Value("string"), |
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"SNT.URLID.SNTID": datasets.Value("string"), |
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"url": datasets.Value("string"), |
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"km_pos_tag": datasets.Value("string"), |
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"km_tokenized": datasets.Value("string"), |
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} |
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) |
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else: |
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raise |
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return datasets.DatasetInfo( |
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description=_DESCRIPTION, |
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features=features, |
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supervised_keys=None, |
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homepage=_HOMEPAGE, |
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citation=_CITATION, |
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) |
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def _split_generators(self, dl_manager): |
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if self.config.name.startswith("alt-parallel"): |
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data_path = dl_manager.download_and_extract(_URLs["alt"]) |
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else: |
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data_path = dl_manager.download_and_extract(_URLs[self.config.name]) |
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if self.config.name == "alt-my-transliteration" or self.config.name == "alt-my-west-transliteration": |
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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={"basepath": data_path, "split": None}, |
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) |
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] |
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else: |
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data_split = {} |
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for k in _SPLIT: |
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data_split[k] = dl_manager.download_and_extract(_SPLIT[k]) |
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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={"basepath": data_path, "split": data_split["train"]}, |
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), |
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datasets.SplitGenerator( |
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name=datasets.Split.VALIDATION, |
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gen_kwargs={"basepath": data_path, "split": data_split["dev"]}, |
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), |
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datasets.SplitGenerator( |
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name=datasets.Split.TEST, |
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gen_kwargs={"basepath": data_path, "split": data_split["test"]}, |
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), |
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] |
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def _generate_examples(self, basepath, split=None): |
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allow_urls = {} |
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if split is not None: |
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with open(split, encoding="utf-8") as fin: |
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for line in fin: |
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sp = line.strip().split("\t") |
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urlid = sp[0].replace("URL.", "") |
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allow_urls[urlid] = {"SNT.URLID": urlid, "url": sp[1]} |
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data = {} |
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if self.config.name.startswith("alt-parallel"): |
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files = self.config.languages |
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data = {} |
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for lang in files: |
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file_path = os.path.join(basepath, "ALT-Parallel-Corpus-20191206", f"data_{lang}.txt") |
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fin = open(file_path, encoding="utf-8") |
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for line in fin: |
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line = line.strip() |
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sp = line.split("\t") |
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_, urlid, sntid = sp[0].split(".") |
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if urlid not in allow_urls: |
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continue |
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if sntid not in data: |
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data[sntid] = {} |
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data[sntid]["SNT.URLID"] = urlid |
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data[sntid]["SNT.URLID.SNTID"] = sntid |
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data[sntid]["url"] = allow_urls[urlid]["url"] |
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data[sntid]["translation"] = {} |
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if len(sp) >= 2: |
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data[sntid]["translation"][lang] = sp[1] |
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fin.close() |
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elif self.config.name == "alt-en": |
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data = {} |
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for fname in ["English-ALT-Draft.txt", "English-ALT-Reviewed.txt"]: |
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file_path = os.path.join(basepath, "English-ALT-20170107", fname) |
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fin = open(file_path, encoding="utf-8") |
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for line in fin: |
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line = line.strip() |
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sp = line.split("\t") |
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_, urlid, sntid = sp[0].split(".") |
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if urlid not in allow_urls: |
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continue |
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d = { |
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"SNT.URLID": urlid, |
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"SNT.URLID.SNTID": sntid, |
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"url": allow_urls[urlid]["url"], |
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"status": None, |
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"value": None, |
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} |
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d["value"] = sp[1] |
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if fname == "English-ALT-Draft.txt": |
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d["status"] = "draft" |
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else: |
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d["status"] = "reviewed" |
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data[sntid] = d |
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fin.close() |
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elif self.config.name == "alt-jp": |
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data = {} |
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for fname in ["Japanese-ALT-Draft.txt", "Japanese-ALT-Reviewed.txt"]: |
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file_path = os.path.join(basepath, "Japanese-ALT-20170330", fname) |
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fin = open(file_path, encoding="utf-8") |
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for line in fin: |
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line = line.strip() |
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sp = line.split("\t") |
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_, urlid, sntid = sp[0].split(".") |
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if urlid not in allow_urls: |
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continue |
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d = { |
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"SNT.URLID": urlid, |
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"SNT.URLID.SNTID": sntid, |
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"url": allow_urls[urlid]["url"], |
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"value": None, |
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"status": None, |
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"word_alignment": None, |
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"en_tokenized": None, |
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"jp_tokenized": None, |
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} |
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d["value"] = sp[1] |
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if fname == "Japanese-ALT-Draft.txt": |
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d["status"] = "draft" |
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else: |
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d["status"] = "reviewed" |
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data[sntid] = d |
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fin.close() |
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keys = { |
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"word_alignment": "word-alignment/data_ja.en-ja", |
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"en_tokenized": "word-alignment/data_ja.en-tok", |
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"jp_tokenized": "word-alignment/data_ja.ja-tok", |
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} |
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for k in keys: |
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file_path = os.path.join(basepath, "Japanese-ALT-20170330", keys[k]) |
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fin = open(file_path, encoding="utf-8") |
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for line in fin: |
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line = line.strip() |
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sp = line.split("\t") |
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if len(sp) < 2: |
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continue |
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_, urlid, sntid = sp[0].split(".") |
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if urlid not in allow_urls: |
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continue |
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if sntid in data: |
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data[sntid][k] = sp[1] |
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fin.close() |
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elif self.config.name == "alt-my": |
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data = {} |
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for fname in ["data"]: |
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file_path = os.path.join(basepath, "my-alt-190530", fname) |
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fin = open(file_path, encoding="utf-8") |
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for line in fin: |
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line = line.strip() |
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sp = line.split("\t") |
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_, urlid, sntid = sp[0].split(".") |
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if urlid not in allow_urls: |
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continue |
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data[sntid] = { |
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"SNT.URLID": urlid, |
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"SNT.URLID.SNTID": sntid, |
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"url": allow_urls[urlid]["url"], |
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"value": sp[1], |
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} |
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fin.close() |
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elif self.config.name == "alt-km": |
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data = {} |
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for fname in ["data_km.km-tag.nova", "data_km.km-tok.nova"]: |
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file_path = os.path.join(basepath, "km-nova-181101", fname) |
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fin = open(file_path, encoding="utf-8") |
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for line in fin: |
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line = line.strip() |
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sp = line.split("\t") |
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_, urlid, sntid = sp[0].split(".") |
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if urlid not in allow_urls: |
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continue |
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k = "km_pos_tag" if fname == "data_km.km-tag.nova" else "km_tokenized" |
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if sntid in data: |
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data[sntid][k] = sp[1] |
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else: |
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data[sntid] = { |
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"SNT.URLID": urlid, |
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"SNT.URLID.SNTID": sntid, |
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"url": allow_urls[urlid]["url"], |
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"km_pos_tag": None, |
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"km_tokenized": None, |
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} |
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data[sntid][k] = sp[1] |
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fin.close() |
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elif self.config.name == "alt-my-transliteration": |
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file_path = os.path.join(basepath, "my-en-transliteration", "data.txt") |
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fin = open(file_path, encoding="utf-8", errors="ignore") |
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_id = 0 |
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for line in fin: |
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line = line.strip() |
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line = line.replace("\x00", "") |
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sp = line.split("|||") |
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if len(sp) < 2: |
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continue |
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data[_id] = {"en": sp[0].strip(), "my": [sp[1].strip()]} |
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_id += 1 |
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fin.close() |
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elif self.config.name == "alt-my-west-transliteration": |
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file_path = os.path.join(basepath, "western-myanmar-transliteration", "321.txt") |
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fin = open(file_path, encoding="utf-8", errors="ignore") |
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_id = 0 |
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for line in fin: |
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line = line.strip() |
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line = line.replace("\x00", "") |
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sp = line.split("|||") |
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data[_id] = {"en": sp[0].strip(), "my": [k.strip() for k in sp[1].split("|")]} |
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_id += 1 |
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fin.close() |
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_id = 1 |
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for k in data: |
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yield _id, data[k] |
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_id += 1 |
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