| | |
| |
|
| | import datasets |
| |
|
| |
|
| | logger = datasets.logging.get_logger(__name__) |
| |
|
| | _URL = "https://huggingface.co/datasets/adalbertojunior/segmentacao2/resolve/main/" |
| | _TRAIN_FILE = "train.conll" |
| | _TEST_FILE = "test.conll" |
| |
|
| |
|
| | class Harem(datasets.GeneratorBasedBuilder): |
| | """Harem dataset.""" |
| | |
| | VERSION = datasets.Version("1.0.0") |
| |
|
| | BUILDER_CONFIGS = [ |
| | datasets.BuilderConfig(name='segmentacao',version=VERSION,description="segmentacao dataset"), |
| | ] |
| |
|
| |
|
| | def _info(self): |
| | return datasets.DatasetInfo( |
| | features=datasets.Features( |
| | { |
| | "id": datasets.Value("string"), |
| | "tokens": datasets.Sequence(datasets.Value("string")), |
| | "pos_tags": datasets.Sequence( |
| | datasets.features.ClassLabel( |
| | names=[ |
| | "O", |
| | ] |
| | ) |
| | ), |
| | "chunk_tags": datasets.Sequence( |
| | datasets.features.ClassLabel( |
| | names=[ |
| | "O", |
| | ] |
| | ) |
| | ), |
| | "ner_tags": datasets.Sequence( |
| | datasets.features.ClassLabel( |
| | names=[ |
| | "B-Segmento", |
| | "I-Segmento", |
| | ] |
| | ) |
| | ), |
| | } |
| | ), |
| | supervised_keys=None, |
| | ) |
| |
|
| | def _split_generators(self, dl_manager): |
| | |
| | urls_to_download = { |
| | "train": f"{_URL}{_TRAIN_FILE}", |
| | "dev": f"{_URL}{_TEST_FILE }", |
| | "test": f"{_URL}{_TEST_FILE }", |
| | } |
| | |
| | downloaded_files = dl_manager.download_and_extract(urls_to_download) |
| | |
| | return [ |
| | datasets.SplitGenerator( |
| | name=datasets.Split.TRAIN, |
| | gen_kwargs={"filepath": downloaded_files["train"], "split": "train"}, |
| | ), |
| | datasets.SplitGenerator( |
| | name=datasets.Split.VALIDATION, |
| | gen_kwargs={"filepath": downloaded_files["dev"], "split": "dev"}, |
| | ), |
| | datasets.SplitGenerator( |
| | name=datasets.Split.TEST, |
| | gen_kwargs={"filepath": downloaded_files["test"], "split": "test"}, |
| | ), |
| | ] |
| |
|
| | def _generate_examples(self, filepath, split): |
| | """This function returns the examples in the raw (text) form by iterating on all the files.""" |
| | |
| | logger.info("⏳ Generating examples from = %s", filepath) |
| | |
| | with open(filepath, encoding="utf-8") as f: |
| | guid = 0 |
| | tokens = [] |
| | pos_tags = [] |
| | chunk_tags = [] |
| | ner_tags = [] |
| | |
| | for line in f: |
| | if line == "" or line == "\n": |
| | if tokens: |
| | yield guid, { |
| | "id": str(guid), |
| | "tokens": tokens, |
| | "pos_tags": pos_tags, |
| | "chunk_tags": chunk_tags, |
| | "ner_tags": ner_tags, |
| | } |
| | guid += 1 |
| | tokens = [] |
| | pos_tags = [] |
| | chunk_tags = [] |
| | ner_tags = [] |
| | |
| | else: |
| | splits = line.split(" ") |
| | tokens.append(splits[0]) |
| | pos_tags.append(splits[1]) |
| | chunk_tags.append(splits[2]) |
| | ner_tags.append(splits[-1].rstrip()) |
| | |
| | |
| | yield guid, { |
| | "id": str(guid), |
| | "tokens": tokens, |
| | "pos_tags": pos_tags, |
| | "chunk_tags": chunk_tags, |
| | "ner_tags": ner_tags, |
| | } |
