Datasets:
Languages:
Portuguese
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File size: 2,457 Bytes
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import json
import csv
import os
import datasets
logger = datasets.logging.get_logger(__name__)
_DESCRIPTION = "FIQA Dataset"
_SPLITS = ["corpus", "queries"]
URL = ""
_URLs = {subset: URL + f"{subset}.jsonl.gz" for subset in _SPLITS}
_URLs.update({"qrel": URL + "qrels.tsv"})
class BEIR(datasets.GeneratorBasedBuilder):
"""BEIR BenchmarkDataset."""
BUILDER_CONFIGS = [
datasets.BuilderConfig(
name=name,
description=f"This is the {name} in the FiQA dataset.",
) for name in _SPLITS + ["qrel"]
]
def _info(self):
if self.config.name in ["corpus", "topics"]:
features=datasets.Features({
"_id": datasets.Value("string"),
"title": datasets.Value("string"),
})
else:
features = datasets.Features({
"query_id": datasets.Value("string"),
"doc_id": datasets.Value("string"),
"rel": datasets.Value("string")
})
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=features,
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."""
if self.config.name in ["corpus", "topics"]:
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
else:
with open(filepath, encoding="utf-8") as f:
for line in f:
if "query-id" not in line:
fields = line.strip().split("\t")
query_id = fields[0]
doc_id = fields[1]
rel = int(fields[2])
yield query_id, doc_id, rel |