| |
|
|
| import datasets |
|
|
|
|
| logger = datasets.logging.get_logger(__name__) |
|
|
| _URL = "https://huggingface.co/datasets/adalbertojunior/MININER/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='MININER',version=VERSION,description="MININER 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=[ |
| "O", |
| "B-PESSOA", |
| "I-PESSOA", |
| "B-TEMPO", |
| "I-TEMPO", |
| ] |
| ) |
| ), |
| } |
| ), |
| supervised_keys=None, |
| ) |
|
|
| def _split_generators(self, dl_manager): |
| |
| urls_to_download = { |
| "train": f"{_URL}{_TRAIN_FILE}", |
| "dev": f"{_URL}{_TRAIN_FILE}", |
| "test": f"{_URL}{_TRAIN_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, |
| } |
|
|
