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import datasets |
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logger = datasets.logging.get_logger(__name__) |
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_CITATION = """ """ |
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_DESCRIPTION = """Telugu English POS Codeswitch dataset. |
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""" |
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_HOMEPAGE = "" |
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_URL = "https://huggingface.co/datasets/anishka/CodeSwitching-TE-EN/blob/main/" |
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_TRAINING_FILE = "TWT-train.conllu" |
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_DEV_FILE = "TWT-dev.conllu" |
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_TEST_FILE = "TWT-test.conllu" |
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class TeEnCodeSwitchConfig(datasets.BuilderConfig): |
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""" Builder config for the Ancora Ca NER dataset """ |
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def __init__(self, **kwargs): |
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"""BuilderConfig for TeEnCodeSwitch. |
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Args: |
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**kwargs: keyword arguments forwarded to super. |
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""" |
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super(TeEnCodeSwitchConfig, self).__init__(**kwargs) |
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class TeEnCodeSwitch(datasets.GeneratorBasedBuilder): |
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""" Te-En-CodeSwitch dataset.""" |
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BUILDER_CONFIGS = [ |
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TeEnCodeSwitchConfig( |
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name="Te-En-CodeSwitch", |
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version=datasets.Version("0.0.1"), |
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description="Te-En-CodeSwitch dataset" |
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), |
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] |
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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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"id": datasets.Value("string"), |
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"tokens": datasets.Sequence(datasets.Value("string")), |
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"ner_tags": 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=_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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"""Returns SplitGenerators.""" |
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urls_to_download = { |
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"train": f"{_URL}{_TRAINING_FILE}", |
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"dev": f"{_URL}{_DEV_FILE}", |
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"test": f"{_URL}{_TEST_FILE}", |
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} |
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downloaded_files = dl_manager.download_and_extract(urls_to_download) |
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print ("Downloading files: ") |
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print (urls_to_download) |
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return [ |
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datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]}), |
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datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["dev"]}), |
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datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_files["test"]}), |
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] |
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def _generate_examples(self, filepath): |
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id = 0 |
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for path in filepath: |
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with open(path, "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 |
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