gowitheflow commited on
Commit
2766894
1 Parent(s): 8d6a0b1

Create TempReason-l2-pure.py

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  1. TempReason-l2-pure.py +80 -0
TempReason-l2-pure.py ADDED
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+ import json
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+ import csv
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+ import os
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+ import datasets
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+
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+ logger = datasets.logging.get_logger(__name__)
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+
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+ _DESCRIPTION = "RAR-b TempReason-l2-pure Dataset"
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+ _SPLITS = ["corpus", "queries", "qrels"]
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+
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+ URL = ""
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+ _URLs = {subset: URL + f"{subset}.jsonl" if subset != "qrels" else URL + f"qrels/test.tsv" for subset in _SPLITS}
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+
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+ class RARb(datasets.GeneratorBasedBuilder):
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+ """RAR-b BenchmarkDataset."""
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+
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+ BUILDER_CONFIGS = [
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+ datasets.BuilderConfig(
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+ name=name,
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+ description=f"This is the {name} in the RAR-b TempReason-l2-pure dataset.",
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+ ) for name in _SPLITS
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+ ]
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+ DEFAULT_CONFIG_NAME = "qrels"
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+
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+ def _info(self):
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+ return datasets.DatasetInfo(
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+ description=_DESCRIPTION,
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+ features=datasets.Features({
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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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+ }) if self.config.name != "qrels" else datasets.Features({
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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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+ supervised_keys=None,
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+ )
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+
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+ def _split_generators(self, dl_manager):
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+ """Returns SplitGenerators."""
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+ if self.config.name == "qrels":
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+ test_url = URL + "qrels/test.tsv"
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+ test_path = dl_manager.download_and_extract(test_url)
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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": test_path},
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+ ),
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+ ]
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+ else:
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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=self.config.name,
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+ gen_kwargs={"filepath": data_dir},
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+ ),
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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 == "qrels":
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+ with open(filepath, encoding="utf-8") as f:
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+ reader = csv.reader(f, delimiter="\t")
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+ header = next(reader) # skip header row
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+ for i, row in enumerate(reader):
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+ yield i, {
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+ "query-id": row[0],
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+ "corpus-id": row[1],
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+ "score": int(row[2]),
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+ }
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+ else:
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+ with open(filepath, encoding="utf-8") as f:
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+ texts = f.readlines()
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+ for i, text in enumerate(texts):
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+ text = json.loads(text)
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+ if 'metadata' in text: del text['metadata']
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+ if "title" not in text: text["title"] = ""
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+ yield i, text