import datasets logger = datasets.logging.get_logger(__name__) _URL = "https://github.com/Kriyansparsana/demorepo/blob/main/test.txt" class indian_namesConfig(datasets.BuilderConfig): """BuilderConfig for Conll2003""" def __init__(self, **kwargs): """BuilderConfig forConll2003. Args: **kwargs: keyword arguments forwarded to super. """ super(indian_namesConfig, self).__init__(**kwargs) class indian_names(datasets.GeneratorBasedBuilder): """Conll2003 dataset.""" BUILDER_CONFIGS = [ indian_namesConfig(name="indian_names", version=datasets.Version("1.0.0"), description="indian_names dataset"), ] def _info(self): return datasets.DatasetInfo( features=datasets.Features( { "id": datasets.Value("string"), "tokens": datasets.Sequence(datasets.Value("string")), "ner_tags": datasets.Sequence( datasets.features.ClassLabel( names=[ "B-PER", "B-ORG", ] ) ), } ), supervised_keys=None, ) def _split_generators(self, dl_manager): """Returns SplitGenerators.""" downloaded_file = dl_manager.download_and_extract(_URL) data_files = { "train": downloaded_file, } return [ datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": data_files["train"]}), ] def _generate_examples(self, filepath): logger.info("⏳ Generating examples from = %s", filepath) with open(filepath, encoding="utf-8") as f: guid = 0 tokens = [] ner_tags = [] for line in f: if line.startswith("-DOCSTART-") or line == "" or line == "\n": if tokens: yield guid, { "id": str(guid), "tokens": tokens, "ner_tags": ner_tags, } guid += 1 ner_tags = [] else: # conll2003 tokens are space separated splits = line.split(" ") tokens.append(splits[0]) ner_tags.append(splits[3].rstrip()) # last example if tokens: yield guid, { "id": str(guid), "tokens": tokens, "ner_tags": ner_tags, }