Datasets:
Tasks:
Summarization
Modalities:
Text
Formats:
json
Languages:
Catalan
Size:
10K - 100K
ArXiv:
License:
File size: 2,237 Bytes
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# Loading script for the VilaSum dataset.
import json
import datasets
logger = datasets.logging.get_logger(__name__)
_CITATION = """
"""
_DESCRIPTION = """
"""
_HOMEPAGE = """
"""
#_URL = "https://huggingface.co/datasets/projecte-aina/vilasum/tree/main"
_URL = '/home/ona/Documents/Summarization/summ_ca/vilaweb_hf/vilasum/'
_TEST_FILE = "test.jsonl"
class VilaSumConfig(datasets.BuilderConfig):
""" Builder config for the VilaSum dataset """
def __init__(self, **kwargs):
"""BuilderConfig for VilaSum.
Args:
**kwargs: keyword arguments forwarded to super.
"""
super(VilaSumConfig, self).__init__(**kwargs)
class VilaSum(datasets.GeneratorBasedBuilder):
"""VilaSum Dataset."""
BUILDER_CONFIGS = [
VilaSumConfig(
name="VilaSum",
version=datasets.Version("1.0.0"),
description="VilaSum dataset",
),
]
def _info(self):
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=datasets.Features(
{
"summary": datasets.Value("string"),
"text": datasets.Value("string"),
}
),
supervised_keys=None,
homepage=_HOMEPAGE,
citation=_CITATION,
)
def _split_generators(self, dl_manager):
"""Returns SplitGenerators."""
urls_to_download = {
"test": f"{_URL}{_TEST_FILE}"
}
downloaded_files = dl_manager.download_and_extract(urls_to_download)
return [
datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_files["test"]}),
]
def _generate_examples(self, filepath):
"""This function returns the examples in the raw (text) form."""
logger.info("generating examples from = %s", filepath)
with open(filepath, encoding="utf-8") as f:
for id_, row in enumerate(f):
article = json.loads(row)
text = article['text']
summary = article['summary']
yield id_, { "summary": summary,"text": text} |