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.gitattributes

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finding.py

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-import datasets
-
-
-logger = datasets.logging.get_logger(__name__)
-
-
-_CITATION = """\
-
-"""
-
-_DESCRIPTION = """\
-
-
-"""
-
-_URL = "https://huggingface.co/datasets/mrojas/finding/resolve/main/data/"
-_TRAINING_FILE = "Finding_train.conll"
-_DEV_FILE = "Finding_dev.conll"
-_TEST_FILE = "Finding_test.conll"
-
-
-class FindingConfig(datasets.BuilderConfig):
-    """BuilderConfig for Finding"""
-
-    def __init__(self, **kwargs):
-        """BuilderConfig for Finding.
-        Args:
-          **kwargs: keyword arguments forwarded to super.
-        """
-        super(FindingConfig, self).__init__(**kwargs)
-
-
-class Finding(datasets.GeneratorBasedBuilder):
-    """Finding dataset."""
-
-    BUILDER_CONFIGS = [
-        FindingConfig(name="finding", version=datasets.Version("1.0.0"), description="Finding dataset"),
-    ]
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {
-                    "tokens": datasets.Sequence(datasets.Value("string")),
-                    "ner_tags": datasets.Sequence(
-                        datasets.features.ClassLabel(
-                            names=[
-                                "O",
-                                "B-Finding",
-                                "I-Finding",
-                            ]
-                        )
-                    ),
-                }
-            ),
-            supervised_keys=None,
-            homepage="",
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        urls_to_download = {
-            "train": f"{_URL}{_TRAINING_FILE}",
-            "dev": f"{_URL}{_DEV_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"]}),
-            datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["dev"]}),
-            datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_files["test"]}),
-        ]
-
-    def _generate_examples(self, filepath):
-        logger.info("⏳ Generating examples from = %s", filepath)
-        with open(filepath, encoding="utf-8") as f:
-            id_ = 0
-            tokens = []
-            ner_tags = []
-            for line in f:
-                if line == "" or line == "\n":
-                    if tokens:
-                        yield id_, {
-                            "tokens": tokens,
-                            "ner_tags": ner_tags,
-                        }
-                        id_ += 1
-                        tokens = []
-                        ner_tags = []
-                else:
-                    # conll2003 tokens are space separated
-                    splits = line.split(" ")
-                    tokens.append(splits[0])
-                    ner_tags.append(splits[1].rstrip())
-            # last example
-            yield id_, {
-                "tokens": tokens,
-                "ner_tags": ner_tags,
-            }