Datasets:
Tasks:
Text Retrieval
Sub-tasks:
document-retrieval
Languages:
Polish
Size:
10K<n<100K
ArXiv:
Tags:
wikipedia
License:
File size: 2,643 Bytes
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import json
import os
import datasets
logger = datasets.logging.get_logger(__name__)
_CORPUS = "corpus"
_QUERIES = "queries"
_QRELS = "qrels"
URL = ""
_URLs = {
_CORPUS: f"corpus.jsonl",
_QUERIES: f"queries.jsonl",
_QRELS: f"qrels/test.tsv",
}
class PuggIr(datasets.GeneratorBasedBuilder):
BUILDER_CONFIGS = [
datasets.BuilderConfig(
name=_CORPUS,
),
datasets.BuilderConfig(
name=_QUERIES,
),
datasets.BuilderConfig(
name=_QRELS,
),
]
def _info(self):
if self.config.name == _CORPUS:
features = datasets.Features(
{
"_id": datasets.Value("string"),
"title": datasets.Value("string"),
"text": datasets.Value("string"),
}
)
elif self.config.name == _QUERIES:
features = datasets.Features(
{
"_id": datasets.Value("string"),
"query": datasets.Value("string"),
}
)
elif self.config.name == _QRELS:
features = datasets.Features(
{
"query-id": datasets.Value("string"),
"corpus-id": datasets.Value("string"),
"score": datasets.Value("int32"),
}
)
return datasets.DatasetInfo(
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=datasets.Split.TEST,
gen_kwargs={"filepath": data_dir},
),
]
def _generate_examples(self, filepath):
"""Yields examples."""
if self.config.name in [_CORPUS, _QUERIES]:
with open(filepath, encoding="utf-8") as f:
for i, line in enumerate(f):
data = json.loads(line)
yield i, data
elif self.config.name == _QRELS:
with open(filepath, encoding="utf-8") as f:
for i, line in enumerate(f):
if i == 0:
continue # Skip header
query_id, corpus_id, score = line.strip().split("\t")
yield i, {
"query-id": query_id,
"corpus-id": corpus_id,
"score": int(score),
}
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