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create_examples_dataset.py DELETED
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- import ftfy
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- import json
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- import random
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- random.seed(1)
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- import argparse
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- import ir_datasets
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- from tqdm.auto import tqdm
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-
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- def load_examples(base_dataset):
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- dataset = ir_datasets.load(base_dataset)
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-
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- documents = {}
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- for doc in tqdm(
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- dataset.docs_iter(), total=dataset.docs_count(), desc="Loading documents"
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- ):
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- text = (
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- f"{doc.title} {doc.text}"
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- if "title" in dataset.docs_cls()._fields
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- else doc.text
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- )
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- documents[doc.doc_id] = ftfy.fix_text(text)
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-
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- queries = {}
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- for query in dataset.queries_iter():
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- queries[query.query_id] = ftfy.fix_text(query.text)
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-
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- return [
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- (queries[qrel.query_id], documents[qrel.doc_id])
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- for qrel in dataset.qrels_iter()
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- ]
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-
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- if __name__ == "__main__":
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- parser = argparse.ArgumentParser()
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- parser.add_argument('--num_examples', default=500_000)
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- parser.add_argument('--dataset', default='beir/msmarco/train')
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- parser.add_argument('--output', required=True)
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- args = parser.parse_args()
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-
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- examples = load_examples(args.dataset)
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- random.shuffle(examples)
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-
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- with open(args.output, 'w') as f:
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- for (query, document) in tqdm(examples[:args.num_examples], total=args.num_examples, desc='Writing'):
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- f.write(json.dumps({'query': query, 'document': document}) + '\n')
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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data/msmarco.json → inpars--fewshot-examples/json-train.parquet RENAMED
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