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Datasets:
irds
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lotte_science_test_search

Tasks:
Text Retrieval
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lotte_science_test_search / README.md
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metadata
pretty_name: '`lotte/science/test/search`'
viewer: false
source_datasets:
  - irds/lotte_science_test
task_categories:
  - text-retrieval

Dataset Card for lotte/science/test/search

The lotte/science/test/search dataset, provided by the ir-datasets package. For more information about the dataset, see the documentation.

Data

This dataset provides:

  • queries (i.e., topics); count=617

  • qrels: (relevance assessments); count=1,738

  • For docs, use irds/lotte_science_test

Usage 

from datasets import load_dataset

queries = load_dataset('irds/lotte_science_test_search', 'queries')
for record in queries:
    record # {'query_id': ..., 'text': ...}

qrels = load_dataset('irds/lotte_science_test_search', 'qrels')
for record in qrels:
    record # {'query_id': ..., 'doc_id': ..., 'relevance': ..., 'iteration': ...}

Note that calling load_dataset will download the dataset (or provide access instructions when it's not public) and make a copy of the data in 🤗 Dataset format.

Citation Information 

@article{Santhanam2021ColBERTv2,
  title = "ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction",
  author = "Keshav Santhanam and Omar Khattab and Jon Saad-Falcon and Christopher Potts and Matei Zaharia", 
  journal= "arXiv preprint arXiv:2112.01488",
  year = "2021",
  url = "https://arxiv.org/abs/2112.01488"
}