Datasets:
Languages:
Portuguese
License:
File size: 2,340 Bytes
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import csv
import json
import os
import datasets
_DESCRIPTION = "FIQA Dataset"
_SPLITS = ["corpus", "topics", "qrel"]
_URLs = {
"corpus": "corpus_pt.tsv",
"topics": "topics_pt.tsv",
"qrel": "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
]
def _info(self):
if self.config.name in ["corpus", "topics"]:
features = datasets.Features(
{
"id": datasets.Value("string"),
"text": 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
)
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},
),
]
# method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
def _generate_examples(self, filepath):
with open(filepath, encoding="utf-8") as f:
if self.config.name in ["corpus", "topics"]:
for line in f:
fields = line.strip().split("\t")
idx = fields[0]
text = fields[1]
yield idx, text
else:
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 |