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import datasets |
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logger = datasets.logging.get_logger(__name__) |
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_URL = "https://huggingface.co/datasets/adalbertojunior/segmentacao_pure/resolve/main/" |
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_TRAIN_FILE = "split.conll" |
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_TEST_FILE = "test.conll" |
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class Harem(datasets.GeneratorBasedBuilder): |
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"""Harem dataset.""" |
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VERSION = datasets.Version("1.0.0") |
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BUILDER_CONFIGS = [ |
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datasets.BuilderConfig(name='segmentacao',version=VERSION,description="segmentacao dataset"), |
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] |
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def _info(self): |
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return datasets.DatasetInfo( |
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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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"pos_tags": datasets.Sequence( |
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datasets.features.ClassLabel( |
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names=[ |
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"O", |
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] |
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) |
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), |
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"chunk_tags": datasets.Sequence( |
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datasets.features.ClassLabel( |
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names=[ |
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"O", |
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] |
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) |
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), |
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"ner_tags": datasets.Sequence( |
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datasets.features.ClassLabel( |
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names=[ |
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"B-Segmento", |
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"I-Segmento", |
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] |
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) |
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), |
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} |
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), |
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supervised_keys=None, |
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) |
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def _split_generators(self, dl_manager): |
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urls_to_download = { |
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"train": f"{_URL}{_TRAIN_FILE}", |
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"dev": f"{_URL}{_TEST_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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return [ |
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datasets.SplitGenerator( |
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name=datasets.Split.TRAIN, |
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gen_kwargs={"filepath": downloaded_files["train"], "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={"filepath": downloaded_files["dev"], "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={"filepath": downloaded_files["test"], "split": "test"}, |
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), |
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] |
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def _generate_examples(self, filepath, split): |
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"""This function returns the examples in the raw (text) form by iterating on all the files.""" |
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logger.info("⏳ Generating examples from = %s", filepath) |
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with open(filepath, encoding="utf-8") as f: |
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guid = 0 |
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tokens = [] |
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pos_tags = [] |
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chunk_tags = [] |
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ner_tags = [] |
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for line in f: |
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if line == "" or line == "\n": |
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if tokens: |
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yield guid, { |
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"id": str(guid), |
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"tokens": tokens, |
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"pos_tags": pos_tags, |
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"chunk_tags": chunk_tags, |
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"ner_tags": ner_tags, |
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} |
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guid += 1 |
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tokens = [] |
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pos_tags = [] |
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chunk_tags = [] |
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ner_tags = [] |
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else: |
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splits = line.split(" ") |
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tokens.append(splits[0]) |
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pos_tags.append(splits[1]) |
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chunk_tags.append(splits[2]) |
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ner_tags.append(splits[-1].rstrip()) |
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yield guid, { |
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"id": str(guid), |
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"tokens": tokens, |
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"pos_tags": pos_tags, |
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"chunk_tags": chunk_tags, |
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"ner_tags": ner_tags, |
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} |
