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import json
import csv
import os
import datasets
logger = datasets.logging.get_logger(__name__)
_DESCRIPTION = "DBPEDIA-PL Dataset"
_SPLITS = ["corpus", "queries"]
URL = ""
_URLs = {subset: URL + f"{subset}.jsonl.gz" for subset in _SPLITS}
class BEIR(datasets.GeneratorBasedBuilder):
"""BEIR-PL BenchmarkDataset."""
BUILDER_CONFIGS = [
datasets.BuilderConfig(
name=name,
description=f"This is the {name} in the Scifact-PL dataset.",
) for name in _SPLITS
]
def _info(self):
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=datasets.Features({
"_id": datasets.Value("string"),
"title": datasets.Value("string"),
"text": datasets.Value("string"),
}),
supervised_keys=None,
)
def _split_generators(self, dl_manager):
"""Returns SplitGenerators."""
my_urls = _URLs[self.config.name]
data_dir = dl_manager.download_and_extract(my_urls)
return [
datasets.SplitGenerator(
name=self.config.name,
# These kwargs will be passed to _generate_examples
gen_kwargs={"filepath": data_dir},
),
]
def _generate_examples(self, filepath):
"""Yields examples."""
with open(filepath, encoding="utf-8") as f:
texts = f.readlines()
for i, text in enumerate(texts):
text = json.loads(text)
if 'metadata' in text: del text['metadata']
if "title" not in text: text["title"] = ""
yield i, text |