Datasets:
Tasks:
Token Classification
Sub-tasks:
named-entity-recognition
Languages:
English
Size:
1K<n<10K
License:
| import datasets | |
| import os | |
| logger = datasets.logging.get_logger(__name__) | |
| _URL = "https://raw.githubusercontent.com/Kriyansparsana/demorepo/main/train.txt" | |
| class indian_namesConfig(datasets.BuilderConfig): | |
| """The WNUT 17 Emerging Entities Dataset.""" | |
| def __init__(self, **kwargs): | |
| """BuilderConfig for WNUT 17. | |
| Args: | |
| **kwargs: keyword arguments forwarded to super. | |
| """ | |
| super(indian_namesConfig, self).__init__(**kwargs) | |
| class indian_names(datasets.GeneratorBasedBuilder): | |
| """The WNUT 17 Emerging Entities Dataset.""" | |
| BUILDER_CONFIGS = [ | |
| indian_namesConfig( | |
| name="indian_names", version=datasets.Version("1.0.0"), description="The WNUT 17 Emerging Entities Dataset" | |
| ), | |
| ] | |
| def _info(self): | |
| return datasets.DatasetInfo( | |
| description=_DESCRIPTION, | |
| features=datasets.Features( | |
| { | |
| "id": datasets.Value("string"), | |
| "tokens": datasets.Sequence(datasets.Value("string")), | |
| "pos_tags": datasets.Sequence( | |
| datasets.features.ClassLabel( | |
| names=[ | |
| '"', | |
| "''", | |
| "#", | |
| "$", | |
| "(", | |
| ")", | |
| ",", | |
| ".", | |
| ":", | |
| "``", | |
| "CC", | |
| "CD", | |
| "DT", | |
| "EX", | |
| "FW", | |
| "IN", | |
| "JJ", | |
| "JJR", | |
| "JJS", | |
| "LS", | |
| "MD", | |
| "NN", | |
| "NNP", | |
| "NNPS", | |
| "NNS", | |
| "NN|SYM", | |
| "PDT", | |
| "POS", | |
| "PRP", | |
| "PRP$", | |
| "RB", | |
| "RBR", | |
| "RBS", | |
| "RP", | |
| "SYM", | |
| "TO", | |
| "UH", | |
| "VB", | |
| "VBD", | |
| "VBG", | |
| "VBN", | |
| "VBP", | |
| "VBZ", | |
| "WDT", | |
| "WP", | |
| "WP$", | |
| "WRB", | |
| ] | |
| ) | |
| ), | |
| "chunk_tags": datasets.Sequence( | |
| datasets.features.ClassLabel( | |
| names=[ | |
| "O", | |
| "B-ADJP", | |
| "I-ADJP", | |
| "B-ADVP", | |
| "I-ADVP", | |
| "B-CONJP", | |
| "I-CONJP", | |
| "B-INTJ", | |
| "I-INTJ", | |
| "B-LST", | |
| "I-LST", | |
| "B-NP", | |
| "I-NP", | |
| "B-PP", | |
| "I-PP", | |
| "B-PRT", | |
| "I-PRT", | |
| "B-SBAR", | |
| "I-SBAR", | |
| "B-UCP", | |
| "I-UCP", | |
| "B-VP", | |
| "I-VP", | |
| ] | |
| ) | |
| ), | |
| "ner_tags": datasets.Sequence( | |
| datasets.features.ClassLabel( | |
| names=[ | |
| "O", | |
| "B-PER", | |
| "I-PER", | |
| "B-ORG", | |
| "I-ORG", | |
| "B-LOC", | |
| "I-LOC", | |
| "B-MISC", | |
| "I-MISC", | |
| ] | |
| ) | |
| ), | |
| } | |
| ), | |
| supervised_keys=None, | |
| homepage="https://www.aclweb.org/anthology/W03-0419/", | |
| citation=_CITATION, | |
| ) | |
| def _split_generators(self, dl_manager): | |
| """Returns SplitGenerators.""" | |
| downloaded_file = dl_manager.download_and_extract(_URL) | |
| data_files = { | |
| "train": os.path.join(downloaded_file, _TRAINING_FILE), | |
| "dev": os.path.join(downloaded_file, _DEV_FILE), | |
| "test": os.path.join(downloaded_file, _TEST_FILE), | |
| } | |
| return [ | |
| datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": data_files["train"]}), | |
| datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": data_files["dev"]}), | |
| datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": data_files["test"]}), | |
| ] | |
| def _generate_examples(self, filepath): | |
| 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.startswith("-DOCSTART-") or 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: | |
| # conll2003 tokens are space separated | |
| splits = line.split(" ") | |
| tokens.append(splits[0]) | |
| pos_tags.append(splits[1]) | |
| chunk_tags.append(splits[2]) | |
| ner_tags.append(splits[3].rstrip()) | |
| # last example | |
| if tokens: | |
| yield guid, { | |
| "id": str(guid), | |
| "tokens": tokens, | |
| "pos_tags": pos_tags, | |
| "chunk_tags": chunk_tags, | |
| "ner_tags": ner_tags, | |
| } |