Datasets:
Tasks:
Text Retrieval
Modalities:
Text
Formats:
parquet
Sub-tasks:
document-retrieval
Languages:
Polish
Size:
100K - 1M
ArXiv:
Tags:
wikipedia
License:
Delete loading script
Browse files- PUGG_IR.py +0 -93
PUGG_IR.py
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import json
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import os
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import datasets
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logger = datasets.logging.get_logger(__name__)
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_CORPUS = "corpus"
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_QUERIES = "queries"
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_QRELS = "qrels"
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URL = ""
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_URLs = {
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_CORPUS: f"corpus.jsonl",
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_QUERIES: f"queries.jsonl",
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_QRELS: f"qrels/test.tsv",
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}
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class PuggIr(datasets.GeneratorBasedBuilder):
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BUILDER_CONFIGS = [
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datasets.BuilderConfig(
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name=_CORPUS,
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),
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datasets.BuilderConfig(
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name=_QUERIES,
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),
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datasets.BuilderConfig(
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name=_QRELS,
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),
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]
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def _info(self):
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if self.config.name == _CORPUS:
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features = datasets.Features(
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{
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"_id": datasets.Value("string"),
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"title": datasets.Value("string"),
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"text": datasets.Value("string"),
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}
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)
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elif self.config.name == _QUERIES:
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features = datasets.Features(
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{
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"_id": datasets.Value("string"),
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"text": datasets.Value("string"),
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}
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)
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elif self.config.name == _QRELS:
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features = datasets.Features(
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{
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"query-id": datasets.Value("string"),
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"corpus-id": datasets.Value("string"),
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"score": datasets.Value("int32"),
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}
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)
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return datasets.DatasetInfo(
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features=features,
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)
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def _split_generators(self, dl_manager):
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"""Returns SplitGenerators."""
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my_urls = _URLs[self.config.name]
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data_dir = dl_manager.download_and_extract(my_urls)
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TEST,
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gen_kwargs={"filepath": data_dir},
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),
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]
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def _generate_examples(self, filepath):
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"""Yields examples."""
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if self.config.name in [_CORPUS, _QUERIES]:
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with open(filepath, encoding="utf-8") as f:
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for i, line in enumerate(f):
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data = json.loads(line)
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yield i, data
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elif self.config.name == _QRELS:
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with open(filepath, encoding="utf-8") as f:
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for i, line in enumerate(f):
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if i == 0:
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continue # Skip header
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query_id, corpus_id, score = line.strip().split("\t")
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yield i, {
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"query-id": query_id,
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"corpus-id": corpus_id,
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"score": int(score),
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}
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