Datasets:
Tasks:
Token Classification
Sub-tasks:
named-entity-recognition
Languages:
English
Size:
1K<n<10K
License:
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, | |
} |