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import os.path |
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try: |
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import conllu |
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except: |
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raise Exception("please install `pip install conllu`") |
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import datasets |
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_CITATION = r"""\ |
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@InProceedings{ZeldesHowellOrdanBenMoshe2022, |
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author = {Amir Zeldes and Nick Howell and Noam Ordan and Yifat Ben Moshe}, |
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booktitle = {Proceedings of {EMNLP} 2022}, |
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title = {A SecondWave of UD Hebrew Treebanking and Cross-Domain Parsing}, |
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year = {2022}, |
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address = {Abu Dhabi, UAE}, |
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} |
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""" |
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_DESCRIPTION = """\ |
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Publicly available subset of the IAHLT UD Hebrew Treebank's Wikipedia section (https://www.iahlt.org/) |
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""" |
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_UD_DATASETS = { |
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"train": "data/he_iahltwiki-ud-dev.conllu", |
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"validation": "data/he_iahltwiki-ud-dev.conllu", |
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"test": "data/he_iahltwiki-ud-test.conllu" |
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} |
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class UniversaldependenciesConfig(datasets.BuilderConfig): |
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"""BuilderConfig for Universal dependencies""" |
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def __init__(self, data_url, **kwargs): |
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super(UniversaldependenciesConfig, self).__init__(version=datasets.Version("2.7.0", ""), **kwargs) |
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self.data_url = data_url |
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class UniversalDependencies(datasets.GeneratorBasedBuilder): |
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VERSION = datasets.Version("2.7.0") |
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BUILDER_CONFIGS = [ |
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UniversaldependenciesConfig( |
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name="he_iahltwiki", |
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description=_DESCRIPTION, |
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data_url="https://github.com/UniversalDependencies/UD_Hebrew-IAHLTwiki", |
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) |
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] |
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BUILDER_CONFIG_CLASS = UniversaldependenciesConfig |
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def _info(self): |
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return datasets.DatasetInfo( |
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description=_DESCRIPTION, |
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features=datasets.Features( |
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{ |
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"idx": datasets.Value("string"), |
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"text": datasets.Value("string"), |
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"tokens": datasets.Sequence(datasets.Value("string")), |
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"lemmas": datasets.Sequence(datasets.Value("string")), |
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"upos": datasets.Sequence( |
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datasets.features.ClassLabel( |
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names=[ |
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"NOUN", |
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"PUNCT", |
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"ADP", |
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"NUM", |
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"SYM", |
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"SCONJ", |
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"ADJ", |
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"PART", |
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"DET", |
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"CCONJ", |
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"PROPN", |
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"PRON", |
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"X", |
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"_", |
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"ADV", |
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"INTJ", |
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"VERB", |
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"AUX", |
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] |
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) |
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), |
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"xpos": datasets.Sequence(datasets.Value("string")), |
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"feats": datasets.Sequence(datasets.Value("string")), |
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"head": datasets.Sequence(datasets.Value("string")), |
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"deprel": datasets.Sequence(datasets.Value("string")), |
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"deps": datasets.Sequence(datasets.Value("string")), |
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"misc": datasets.Sequence(datasets.Value("string")), |
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} |
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), |
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supervised_keys=None, |
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homepage="https://www.iahlt.org/", |
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citation=_CITATION, |
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) |
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def _split_generators(self, dl_manager): |
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"""Returns SplitGenerators.""" |
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data_dir = dl_manager.download_and_extract(_UD_DATASETS) |
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filepaths = { |
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split: data_dir[split] |
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for split, _ in _UD_DATASETS.items() |
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} |
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return [ |
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datasets.SplitGenerator(name=datasets.Split(split), gen_kwargs={"filepath": filepaths[split]}) |
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for split in filepaths |
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] |
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def _generate_examples(self, filepath): |
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id_ = 0 |
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with open(filepath, "r", encoding="utf-8") as data_file: |
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tokenlist = list(conllu.parse_incr(data_file)) |
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for sent in tokenlist: |
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if "sent_id" in sent.metadata: |
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idx = sent.metadata["sent_id"] |
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else: |
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idx = id_ |
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tokens = [token["form"] for token in sent] |
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if "text" in sent.metadata: |
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txt = sent.metadata["text"] |
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else: |
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txt = " ".join(tokens) |
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yield id_, { |
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"idx": str(idx), |
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"text": txt, |
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"tokens": [token["form"] for token in sent], |
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"lemmas": [token["lemma"] for token in sent], |
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"upos": [token["upos"] for token in sent], |
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"xpos": [token["xpos"] for token in sent], |
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"feats": [str(token["feats"]) for token in sent], |
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"head": [str(token["head"]) for token in sent], |
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"deprel": [str(token["deprel"]) for token in sent], |
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"deps": [str(token["deps"]) for token in sent], |
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"misc": [str(token["misc"]) for token in sent], |
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} |
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id_ += 1 |
