Datasets:
Languages:
Portuguese
License:
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", | |
} | |
URL = "" | |
_URLs = {subset: URL + _URLS[subset] for subset in _SPLITS} | |
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 |